\n"}]},"interrupted":false,"jobName":"paragraph_1600195110858_615580679","id":"20200915-183830_1446315517","dateCreated":"2020-02-19T23:52:13+0000","dateStarted":"2020-09-15T19:50:34+0000","dateFinished":"2020-09-15T19:50:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:227"},{"text":"%md\n\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T19:50:37+0000","config":{"editorSetting":{"language":"markdown","editOnDblClick":true,"completionKey":"TAB","completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"enabled":true,"editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
End of Script
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+{"paragraphs":[{"text":"%md\n\n# Oracle Machine Learning for Python - Datastore and Script Repository\n\n***Oracle Machine Learning for Python*** (OML4Py), a component of Oracle Machine Learning, makes the open source Python scripting language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle Machine Learning for Python integrates Python with Oracle Database, allowing users to execute Python commands and scripts for statistical, machine learning, and graphical analyses on database tables and views using Python syntax. Many familiar Python functions are overloaded and translate Python functions into SQL for in-database execution, as well as new automated machine learning capabilities.\n\nIn this notebook, we highlight the datastore and script repository features of OML4Py.\n\nWith a datastore, you can store Python objects in a named datastore entry. This named datastore can then use in subsequent Python sessions and even be made available to other users or programs by granting/revoking read permissions.\n\nPython objects, including OML4Py proxy objects, exist for the duration of the current Python session unless you explicitly save them. You can save one or more Python objects, including OML proxy objects, to a named datastore and then load those objects in a later Python session. This is also useful when using embedded Python execution. Datastores exist in the user’s Oracle Database schema. A datastore, and the objects it contains, persist in the database until explicitly deleted.\n\nUsing a datastore, you can:\n\n* Save OML4Py and other Python objects in one Python session and load them in another Python session\n* Pass non-scalar arguments to Python functions for use in embedded Python execution from both the Python, and more importantly, the SQL API where only scalar values can be passed to functions\n* List available datastores and explore the contents of a datastore\n\nWith the script repository, users can:\n\n* Create and store user-defined Python functions as scripts in Oracle Database\n* Grant or revoke the read/eecute privilege to a script\n* List available scripts\n* Load a script function into the Python environment\n* Drop a script from the script repository\n\nYou can make scripts either private or global. A private script is available only to the owner. A global script is available to any user. For private scripts, the owner of the script may grant the read privilege to other users or revoke that privilege.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:24+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-680212016","id":"20200915-183831_1016194151","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:24+0000","dateFinished":"2020-09-15T20:19:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"focus":true,"$$hashKey":"object:6076","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Oracle Machine Learning for Python - Datastore and Script Repository
\n
Oracle Machine Learning for Python (OML4Py), a component of Oracle Machine Learning, makes the open source Python scripting language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle Machine Learning for Python integrates Python with Oracle Database, allowing users to execute Python commands and scripts for statistical, machine learning, and graphical analyses on database tables and views using Python syntax. Many familiar Python functions are overloaded and translate Python functions into SQL for in-database execution, as well as new automated machine learning capabilities.
\n
In this notebook, we highlight the datastore and script repository features of OML4Py.
\n
With a datastore, you can store Python objects in a named datastore entry. This named datastore can then use in subsequent Python sessions and even be made available to other users or programs by granting/revoking read permissions.
\n
Python objects, including OML4Py proxy objects, exist for the duration of the current Python session unless you explicitly save them. You can save one or more Python objects, including OML proxy objects, to a named datastore and then load those objects in a later Python session. This is also useful when using embedded Python execution. Datastores exist in the user’s Oracle Database schema. A datastore, and the objects it contains, persist in the database until explicitly deleted.
\n
Using a datastore, you can:
\n
\n- Save OML4Py and other Python objects in one Python session and load them in another Python session
\n- Pass non-scalar arguments to Python functions for use in embedded Python execution from both the Python, and more importantly, the SQL API where only scalar values can be passed to functions
\n- List available datastores and explore the contents of a datastore
\n
\n
With the script repository, users can:
\n
\n- Create and store user-defined Python functions as scripts in Oracle Database
\n- Grant or revoke the read/eecute privilege to a script
\n- List available scripts
\n- Load a script function into the Python environment
\n- Drop a script from the script repository
\n
\n
You can make scripts either private or global. A private script is available only to the owner. A global script is available to any user. For private scripts, the owner of the script may grant the read privilege to other users or revoke that privilege.
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]}},{"text":"%md\n\n## Import libraries supporting OML4Py and create data table\n\nTo use OML4Py, first import the package ***oml***. Check for the PYQADMIN role, which is required to use certain functionalities here and later for embedded Python execution. \n\nUsers can get online help using Python's help function and specifying the function of interest.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:24+0000","config":{"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_574531084","id":"20200915-183831_840283157","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:25+0000","dateFinished":"2020-09-15T20:19:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6077","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Import libraries supporting OML4Py and create data table
\n
To use OML4Py, first import the package oml. Check for the PYQADMIN role, which is required to use certain functionalities here and later for embedded Python execution.
\n
Users can get online help using Python's help function and specifying the function of interest.
\n"}]}},{"title":"Import libraries and set display options and check PYQADMIN role","text":"%python\n\nimport pandas as pd\nimport oml\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)\n\noml.core.methods.__checkRole(\"PYQADMIN\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:25+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-949480909","id":"20200915-183831_376081363","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:25+0000","dateFinished":"2020-09-15T20:19:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6078","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\n## Create Pandas DataFrames and load them into Autonomous Database\n\nWe load three data sets, combining target and predictors into a single DataFrame, before invoking create and displaying the columns for each. These will be used in exploring *datastore* functionality.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:25+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_752303669","id":"20200915-183831_524595801","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:26+0000","dateFinished":"2020-09-15T20:19:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6079","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Create Pandas DataFrames and load them into Autonomous Database
\n
We load three data sets, combining target and predictors into a single DataFrame, before invoking create and displaying the columns for each. These will be used in exploring datastore functionality.
\n"}]}},{"title":"Create IRIS data table","text":"%python\nfrom sklearn import datasets\nfrom sklearn import linear_model\nimport pandas as pd\n\niris = datasets.load_iris()\nx = pd.DataFrame(iris.data, columns = ['SEPAL_LENGTH','SEPAL_WIDTH',\n 'PETAL_LENGTH','PETAL_WIDTH'])\ny = pd.DataFrame(list(map(lambda x: {0: 'setosa', 1: 'versicolor',\n 2:'virginica'}[x], iris.target)), columns = ['SPECIES'])\ntry:\n oml.drop(table='IRIS')\nexcept:\n pass\nIRIS = oml.create(pd.concat([x, y], axis=1), table = 'IRIS')\niris = pd.concat([x, y], axis=1)\nprint(IRIS.columns)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:26+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":4,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_873451954","id":"20200915-183831_742776586","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:26+0000","dateFinished":"2020-09-15T20:19:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6080","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['SEPAL_LENGTH', 'SEPAL_WIDTH', 'PETAL_LENGTH', 'PETAL_WIDTH', 'SPECIES']\n"}]}},{"title":"Create DIABETES temporary data table","text":"%python\n\ndiabetes = datasets.load_diabetes()\nx = pd.DataFrame(diabetes.data, columns=diabetes.feature_names)\ny = pd.DataFrame(diabetes.target, columns=['disease_progression'])\n\nDIABETES_TMP = oml.push(pd.concat([x, y], axis=1))\nprint(DIABETES_TMP.columns)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:27+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":4,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1427161349","id":"20200915-183831_862937995","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:27+0000","dateFinished":"2020-09-15T20:19:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6081","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['age', 'sex', 'bmi', 'bp', 's1', 's2', 's3', 's4', 's5', 's6', 'disease_progression']\n"}]}},{"title":"Create BOSTON temporary data table","text":"%python\n\nboston = datasets.load_boston()\nx = pd.DataFrame(boston.data, columns = boston.feature_names.tolist())\ny = pd.DataFrame(boston.target, columns = ['Value'])\n\nBOSTON_TMP = oml.push(pd.concat([x, y], axis=1))\nprint(BOSTON_TMP.columns)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:27+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":4,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_930001395","id":"20200915-183831_1897480742","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:28+0000","dateFinished":"2020-09-15T20:19:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6082","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX', 'PTRATIO', 'B', 'LSTAT', 'Value']\n"}]}},{"text":"%md\n## Save Python objects to datastore\n\nSave the actual *iris* data set and the temporary BOSTON proxy object to a datastore named \"ds_pydata\", overwriting if the named datastore already exists. Note that you can store actual data objects in a datastore, but large data objects should remain as database tables for performance and scalability.\n\nBy storing the BOSTON_TMP object, the temporary table will not be deleted when the session terminates.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:28+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1557967501","id":"20200915-183831_1274404902","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:28+0000","dateFinished":"2020-09-15T20:19:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6083","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Save Python objects to datastore
\n
Save the actual iris data set and the temporary BOSTON proxy object to a datastore named “ds_pydata”, overwriting if the named datastore already exists. Note that you can store actual data objects in a datastore, but large data objects should remain as database tables for performance and scalability.
\n
By storing the BOSTON_TMP object, the temporary table will not be deleted when the session terminates.
\n"}]}},{"text":"%python\n\noml.ds.save(objs={'iris':iris, 'oml_boston':BOSTON_TMP},\n name=\"ds_pydata\", description = \"python datasets\", overwrite=True)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:28+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-331740873","id":"20200915-183831_1238031325","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:29+0000","dateFinished":"2020-09-15T20:19:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6084","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nAdd a third object, the temporary DIABETES proxy object, to that same datastore.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:29+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1799161915","id":"20200915-183831_32606804","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:29+0000","dateFinished":"2020-09-15T20:19:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6085","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Add a third object, the temporary DIABETES proxy object, to that same datastore.
\n"}]}},{"text":"%python\n\noml.ds.save(objs={'oml_diabetes':DIABETES_TMP}, name=\"ds_pydata\", append=True)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:30+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_468282574","id":"20200915-183831_977461310","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:30+0000","dateFinished":"2020-09-15T20:19:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6086","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nSave the *iris* DataFrame to a new datastore, and then list the datastores. Notice we see the datastore name, the number of objects in the datastore, the size in bytes consumed, when the datastore was create/updated, and any description provided by the user. Our two datastores ***ds_iris_data*** and ***ds_pydata*** are present, with the latter containing three objects.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:30+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1958672366","id":"20200915-183831_1582482304","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:31+0000","dateFinished":"2020-09-15T20:19:31+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6087","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Save the iris DataFrame to a new datastore, and then list the datastores. Notice we see the datastore name, the number of objects in the datastore, the size in bytes consumed, when the datastore was create/updated, and any description provided by the user. Our two datastores ds_iris_data and ds_pydata are present, with the latter containing three objects.
\n"}]}},{"text":"%python\n\noml.ds.save(objs={'iris':iris},\n name=\"ds_iris_data\", description = \"iris dataset\", overwrite=True)\n\noml.ds.dir()","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:31+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-302093516","id":"20200915-183831_1104805796","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:31+0000","dateFinished":"2020-09-15T20:19:31+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6088","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name object_count size date description\n0 ds_iris_data 1 5987 2020-09-15 20:19:31 iris dataset\n1 ds_pydata 3 7941 2020-09-15 20:19:29 python datasets\n"}]}},{"text":"%md\n## Store model objects in a datastore\n\nTo illustrate storing other types of objects in datastores, we'll create regression models using sklearn and OML4Py.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:31+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_915375334","id":"20200915-183831_1282899681","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:32+0000","dateFinished":"2020-09-15T20:19:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6089","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Store model objects in a datastore
\n
To illustrate storing other types of objects in datastores, we'll create regression models using sklearn and OML4Py.
\n"}]}},{"text":"%python\n\nregr1 = linear_model.LinearRegression()\nregr1.fit(boston.data, boston.target)\n\nregr2 = oml.glm(\"regression\")\nX = BOSTON_TMP.drop('Value')\ny = BOSTON_TMP['Value']\nregr2 = regr2.fit(X, y)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:32+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_717290201","id":"20200915-183831_1629037633","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:32+0000","dateFinished":"2020-09-15T20:19:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6090","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nSave objects to a datastore and allow the read privilege to be granted to them. Then grant the read privilege to all users by specifying ***user=None***. Finally list the datastores to which the read privilege has been granted.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:34+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1833393172","id":"20200915-183831_689939745","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:34+0000","dateFinished":"2020-09-15T20:19:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6091","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Save objects to a datastore and allow the read privilege to be granted to them. Then grant the read privilege to all users by specifying user=None. Finally list the datastores to which the read privilege has been granted.
\n"}]}},{"text":"%python\n\noml.ds.save(objs={'regr1':regr1, 'regr2':regr2},\n name=\"ds_pymodel\", grantable=True, overwrite=True)\n\noml.ds.dir()","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:35+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-322386462","id":"20200915-183831_666196857","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:35+0000","dateFinished":"2020-09-15T20:19:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6092","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name object_count size date description\n0 ds_iris_data 1 5987 2020-09-15 20:19:31 iris dataset\n1 ds_pydata 3 7941 2020-09-15 20:19:29 python datasets\n2 ds_pymodel 2 4196 2020-09-15 20:19:35 None\n"}]}},{"text":"%python\n\noml.grant(name=\"ds_pymodel\", typ=\"datastore\", user=None)\n\noml.ds.dir(dstype=\"grant\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:35+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_426927320","id":"20200915-183831_1354938648","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:36+0000","dateFinished":"2020-09-15T20:19:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6093","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name grantee\n0 ds_pymodel PUBLIC\n"}]}},{"text":"%md\n## Load datastore objects into memory\n\nLoad all Python objects from a datastore to the global workspace and sort the result by name. Notice that they have the name specified in the dictionary when saved.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:36+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-452024225","id":"20200915-183831_2018616429","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:36+0000","dateFinished":"2020-09-15T20:19:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6094","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Load datastore objects into memory
\n
Load all Python objects from a datastore to the global workspace and sort the result by name. Notice that they have the name specified in the dictionary when saved.
\n"}]}},{"text":"%python\n\nsorted(oml.ds.load(name=\"ds_pydata\"))","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:36+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1991057126","id":"20200915-183831_749936875","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:37+0000","dateFinished":"2020-09-15T20:19:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6095","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['iris', 'oml_boston', 'oml_diabetes']\n"}]}},{"text":"%md\n\nLoad the named Python object, ***regr2***, from the datastore to the global workspace.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:37+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-575420976","id":"20200915-183831_567335063","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:37+0000","dateFinished":"2020-09-15T20:19:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6096","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Load the named Python object, regr2, from the datastore to the global workspace.
\n"}]}},{"text":"%python\n\noml.ds.load(name=\"ds_pymodel\", objs=[\"regr2\"])","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:37+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_362243734","id":"20200915-183831_1688186828","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:38+0000","dateFinished":"2020-09-15T20:19:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6097","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"['regr2']\n"}]}},{"text":"%md\n\nLoad the named Python object, ***regr1***, from the datastore to the user's workspace.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:40+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1259101169","id":"20200915-183831_295181822","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:40+0000","dateFinished":"2020-09-15T20:19:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6098","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Load the named Python object, regr1, from the datastore to the user's workspace.
\n"}]}},{"text":"%python\n\noml.ds.load(name=\"ds_pymodel\", objs=[\"regr1\"], to_globals=False)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:40+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_766378235","id":"20200915-183831_614060894","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:40+0000","dateFinished":"2020-09-15T20:19:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6099","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"{'regr1': LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)}\n"}]}},{"text":"%md\n\n## Show datastores and other details","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:42+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_2092448794","id":"20200915-183831_53130042","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:42+0000","dateFinished":"2020-09-15T20:19:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6100","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Show datastores and other details
\n"}]}},{"text":"%python\n\noml.ds.dir(dstype=\"all\")[['owner', 'datastore_name', 'object_count']]","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:42+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_536474475","id":"20200915-183831_441621852","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:43+0000","dateFinished":"2020-09-15T20:19:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6101","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" owner datastore_name object_count\n0 OMLUSER ds_iris_data 1\n1 OMLUSER ds_pydata 3\n2 OMLUSER ds_pymodel 2\n"}]}},{"text":"%md\n\nWe can then show datastores to which other users have been granted the read privilege.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:43+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_951478721","id":"20200915-183831_1274287109","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:43+0000","dateFinished":"2020-09-15T20:19:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6102","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
We can then show datastores to which other users have been granted the read privilege.
\n"}]}},{"text":"%python\n\noml.ds.dir(dstype=\"grant\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:43+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_432191071","id":"20200915-183831_563952902","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:44+0000","dateFinished":"2020-09-15T20:19:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6103","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name grantee\n0 ds_pymodel PUBLIC\n"}]}},{"text":"%md\n\nOr, show datastores to which this user has been granted the read privilege (there currently are none).\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:44+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-322038821","id":"20200915-183831_2004412780","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:44+0000","dateFinished":"2020-09-15T20:19:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6104","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Or, show datastores to which this user has been granted the read privilege (there currently are none).
\n"}]}},{"text":"%python\n\noml.ds.dir(dstype=\"granted\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:44+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-899819053","id":"20200915-183831_2043552418","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:45+0000","dateFinished":"2020-09-15T20:19:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6105","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Empty DataFrame\nColumns: [owner, datastore_name, object_count, size, date, description]\nIndex: []\n"}]}},{"text":"%md\n\nOr, show datastores whose names match a pattern.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:45+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-127481808","id":"20200915-183831_309413282","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:45+0000","dateFinished":"2020-09-15T20:19:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6106","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Or, show datastores whose names match a pattern.
\n"}]}},{"text":"%python\n\noml.ds.dir(name='pydata', regex_match=True)[['datastore_name', 'object_count']]","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:45+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1524711830","id":"20200915-183831_1523331047","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:46+0000","dateFinished":"2020-09-15T20:19:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6107","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name object_count\n0 ds_pydata 3\n"}]}},{"text":"%md\n## Describe contents of a datastore\n\nLet's describe the contents of the ds_pydata datastore. Notice that the three proxy objects are listed.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:46+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1323128097","id":"20200915-183831_1783602779","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:46+0000","dateFinished":"2020-09-15T20:19:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6108","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Describe contents of a datastore
\n
Let's describe the contents of the ds_pydata datastore. Notice that the three proxy objects are listed.
\n"}]}},{"text":"%python\n\noml.ds.describe(name='ds_pydata')","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:46+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_286575133","id":"20200915-183831_1654418050","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:47+0000","dateFinished":"2020-09-15T20:19:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6109","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" object_name class size length row_count col_count\n0 iris pandas.core.frame.DataFrame 5987 150 150 5\n1 oml_boston oml.DataFrame 1032 506 506 14\n2 oml_diabetes oml.DataFrame 922 442 442 11\n"}]}},{"text":"%md\n## User privileges on a datastore\n\nRevoke the read privilege from every user, and again show datastores to which read privilege has been granted. The result is empty.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:47+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1830189476","id":"20200915-183831_2061008678","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:47+0000","dateFinished":"2020-09-15T20:19:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6110","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
User privileges on a datastore
\n
Revoke the read privilege from every user, and again show datastores to which read privilege has been granted. The result is empty.
\n"}]}},{"text":"%python\n\noml.revoke(name=\"ds_pymodel\", typ=\"datastore\", user=None)\n\noml.ds.dir(dstype=\"grant\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:47+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-740590880","id":"20200915-183831_1095812237","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:48+0000","dateFinished":"2020-09-15T20:19:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6111","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Empty DataFrame\nColumns: [datastore_name, grantee]\nIndex: []\n"}]}},{"text":"%md\n\nGrant the read privilege to the user OMLUSER2. Note that OMLUSER2 does not exist and this example is for illustrative purposes only.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:48+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1334804893","id":"20200915-183831_1467688890","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:48+0000","dateFinished":"2020-09-15T20:19:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6112","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Grant the read privilege to the user OMLUSER2. Note that OMLUSER2 does not exist and this example is for illustrative purposes only.
\n"}]}},{"text":"%python\n\noml.grant(name=\"ds_pymodel\", typ=\"datastore\", user=\"OMLUSER2\")\n\noml.ds.dir(dstype=\"grant\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:15:22+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-158566069","id":"20200915-183831_1454546861","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:11:00+0000","dateFinished":"2020-09-15T20:11:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6113","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name grantee\n0 ds_pymodel OMLUSER2\n"}]}},{"text":"%md\n## Delete datastore content\n\nDelete some objects from the datastore. Delete a datastore. Delete all datastores whose names match a pattern. Show the existing datastores again.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:48+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-479510625","id":"20200915-183831_1873476370","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:49+0000","dateFinished":"2020-09-15T20:19:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6114","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Delete datastore content
\n
Delete some objects from the datastore. Delete a datastore. Delete all datastores whose names match a pattern. Show the existing datastores again.
\n"}]}},{"text":"%python\n\noml.ds.delete(name=\"ds_pydata\", objs=[\"iris\", \"oml_boston\"])\n\noml.ds.delete(name=\"ds_pydata\")\n\noml.ds.delete(name=\"_pymodel\", regex_match=True)\n\noml.ds.dir()","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:49+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-360167490","id":"20200915-183831_681127622","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:49+0000","dateFinished":"2020-09-15T20:19:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6115","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" datastore_name object_count size date description\n0 ds_iris_data 1 5987 2020-09-15 20:19:31 iris dataset\n"}]}},{"text":"%md\n\n# Python Script Repository\n\nTo illustrate using the Python Script Repository, we first define a function ***build_lm1*** that will fit a regression model. With this function, we create a script named \"MyLM_function\". OML4Py stores named user-defined functions -- the scripts -- in the repository.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:50+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-810060189","id":"20200915-183831_642882200","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:50+0000","dateFinished":"2020-09-15T20:19:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6116","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Python Script Repository
\n
To illustrate using the Python Script Repository, we first define a function build_lm1 that will fit a regression model. With this function, we create a script named “MyLM_function”. OML4Py stores named user-defined functions – the scripts – in the repository.
\n"}]}},{"text":"%python \n\niris = datasets.load_iris()\nx = pd.DataFrame(iris.data, columns = ['SEPAL_LENGTH','SEPAL_WIDTH',\n 'PETAL_LENGTH','PETAL_WIDTH'])\ny = pd.DataFrame(list(map(lambda x: {0: 'setosa', 1: 'versicolor', 2:'virginica'}[x], iris.target)), \n columns = ['SPECIES'])\nIRIS2 = oml.push(pd.concat([x, y], axis=1))","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:50+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"editorHide":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1847488964","id":"20200915-183831_1692153352","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:50+0000","dateFinished":"2020-09-15T20:19:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6117","results":{"code":"SUCCESS","msg":[]}},{"title":"Define function object","text":"%python\n\ndef build_lm1(dat):\n from sklearn import linear_model\n regr = linear_model.LinearRegression()\n import pandas as pd\n dat = pd.get_dummies(dat, drop_first=True)\n X = dat[[\"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\", \n \"SPECIES_versicolor\", \"SPECIES_virginica\"]]\n y = dat[[\"SEPAL_LENGTH\"]]\n regr.fit(X, y)\n return regr","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:51+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_478472972","id":"20200915-183831_1553343466","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:51+0000","dateFinished":"2020-09-15T20:19:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6118","results":{"code":"SUCCESS","msg":[]}},{"title":"Define function as string","text":"%python\n\nbuild_lm2 = \"\"\"def build_lm2(dat):\n from sklearn import linear_model\n regr = linear_model.LinearRegression()\n import pandas as pd\n dat = pd.get_dummies(dat, drop_first=True)\n X = dat[[\"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\", \n \"SPECIES_versicolor\", \"SPECIES_virginica\"]]\n y = dat[[\"SEPAL_LENGTH\"]]\n regr.fit(X, y)\n return regr\"\"\"","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:51+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_2093631157","id":"20200915-183831_1033427360","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:51+0000","dateFinished":"2020-09-15T20:19:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6119","results":{"code":"SUCCESS","msg":[]}},{"title":"View function string","text":"%python\nprint(build_lm2)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:52+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1574961107","id":"20200915-183831_389485009","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:52+0000","dateFinished":"2020-09-15T20:19:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6120","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"def build_lm2(dat):\n from sklearn import linear_model\n regr = linear_model.LinearRegression()\n import pandas as pd\n dat = pd.get_dummies(dat, drop_first=True)\n X = dat[[\"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\", \n \"SPECIES_versicolor\", \"SPECIES_virginica\"]]\n y = dat[[\"SEPAL_LENGTH\"]]\n regr.fit(X, y)\n return regr\n"}]}},{"text":"%md\n## Create scripts in repository\n\nCreate ***MyLM_function2*** using function string. Note, that one cannot provide the function object when storing a user-defined function. ","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:52+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_181517580","id":"20200915-183831_316545353","dateCreated":"2020-06-08T01:58:57+0000","dateStarted":"2020-09-15T20:19:52+0000","dateFinished":"2020-09-15T20:19:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6121","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Create scripts in repository
\n
Create MyLM_function2 using function string. Note, that one cannot provide the function object when storing a user-defined function.
\n"}]}},{"text":"%python\ntry:\n oml.script.drop(\"MyLM_function2\")\nexcept: \n pass\noml.script.create(\"MyLM_function2\", func=build_lm2, overwrite=True)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:52+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_283041244","id":"20200915-183831_2142953867","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:53+0000","dateFinished":"2020-09-15T20:19:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6122","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nList the scripts available only to the current user.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:53+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1097790289","id":"20200915-183831_76837381","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:53+0000","dateFinished":"2020-09-15T20:19:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6123","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
List the scripts available only to the current user.
\n"}]}},{"text":"%python\n\noml.script.dir(sctype='user')","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:53+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1342236019","id":"20200915-183831_721568479","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:54+0000","dateFinished":"2020-09-15T20:19:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6124","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name script description date\n0 MyLM_function2 def build_lm2(dat):\\n from sklearn import l... None 2020-09-15 20:19:53\n1 RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-15 19:35:15\n"}]}},{"text":"%md\n\nGrant the read privilege to the ***MyLM_function1*** script to the user OMLUSER2.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:54+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1579791547","id":"20200915-183831_1240732327","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:54+0000","dateFinished":"2020-09-15T20:19:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6125","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Grant the read privilege to the MyLM_function1 script to the user OMLUSER2.
\n"}]}},{"text":"%python\n\noml.grant(name=\"MyLM_function2\", typ=\"pyqscript\", user=\"OMLUSER2\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:16:54+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1580232239","id":"20200915-183831_1634342059","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:11:14+0000","dateFinished":"2020-09-15T20:11:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6126","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nList the scripts to which read privilege has been granted.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:54+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_302876268","id":"20200915-183831_1179207385","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:55+0000","dateFinished":"2020-09-15T20:19:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6127","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
List the scripts to which read privilege has been granted.
\n"}]}},{"text":"%python\n\noml.script.dir(sctype=\"grant\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:55+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1842208301","id":"20200915-183831_2145706101","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:55+0000","dateFinished":"2020-09-15T20:19:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6128","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Empty DataFrame\nColumns: [name, grantee]\nIndex: []\n"}]}},{"text":"%python\n\nimport inspect\n\nMyLM_function2 = oml.script.load(\"MyLM_function2\")\nMyLM_function2.get_source()\nprint(str(MyLM_function2))\nprint(MyLM_function2.get_source().read())\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:55+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1215415052","id":"20200915-183831_376222724","dateCreated":"2020-07-08T15:54:36+0000","dateStarted":"2020-09-15T20:19:56+0000","dateFinished":"2020-09-15T20:19:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6129","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"
\ndef build_lm2(dat):\n from sklearn import linear_model\n regr = linear_model.LinearRegression()\n import pandas as pd\n dat = pd.get_dummies(dat, drop_first=True)\n X = dat[[\"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\", \n \"SPECIES_versicolor\", \"SPECIES_virginica\"]]\n y = dat[[\"SEPAL_LENGTH\"]]\n regr.fit(X, y)\n return regr\n"}]}},{"text":"%md\n\nRevoke the read privilege to the MyLM_function script from the user OMLUSER2.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:56+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1853438105","id":"20200915-183831_663893294","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:56+0000","dateFinished":"2020-09-15T20:19:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6130","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Revoke the read privilege to the MyLM_function script from the user OMLUSER2.
\n"}]}},{"text":"%python\n\noml.revoke(name=\"MyLM_function2\", typ=\"pyqscript\", user=\"OMLUSER2\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:18:16+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1346562385","id":"20200915-183831_736215179","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:18:07+0000","dateFinished":"2020-09-15T20:18:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6131","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n## Invoke function using embedded Python execution\n\nWe'll use embedded Python execution to invoke this function. First we ***sync*** the IRIS table to get a proxy object, then use ***table_apply***, providing the proxy object, function name and the output type. We'll view the result and then pull the coefficients.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:56+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_87747959","id":"20200915-183831_1943956170","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:57+0000","dateFinished":"2020-09-15T20:19:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6132","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Invoke function using embedded Python execution
\nWe'll use embedded Python execution to invoke this function. First we sync the IRIS table to get a proxy object, then use table_apply, providing the proxy object, function name and the output type. We'll view the result and then pull the coefficients.
\n"}]}},{"title":"Use table_apply to provide full IRIS data set to function","text":"%python\n\nres = oml.table_apply(IRIS, func=\"MyLM_function2\", oml_input_type=\"pandas.DataFrame\")\nres","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:57+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_325472943","id":"20200915-183831_6368289","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:57+0000","dateFinished":"2020-09-15T20:19:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6133","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n"}]}},{"title":"Show model coefficients","text":"%python\n\nres.coef_","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:57+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_312199454","id":"20200915-183831_921453126","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:58+0000","dateFinished":"2020-09-15T20:19:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6134","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"array([[ 0.49588894, 0.82924391, -0.31515517, -0.72356196, -1.02349781]])\n"}]}},{"text":"%md\n## Storing functions as 'global'\n\nLet's define and save another function ***build_lm3***, but this time as global. We'll then invoke that function to build another model.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:58+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1542307161","id":"20200915-183831_321665416","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:58+0000","dateFinished":"2020-09-15T20:19:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6135","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Storing functions as 'global'
\nLet's define and save another function build_lm3, but this time as global. We'll then invoke that function to build another model.
\n"}]}},{"text":"%python\n\nbuild_lm3 = \"\"\"def build_lm3(dat):\n from sklearn import linear_model\n regr = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n regr.fit(X, y)\n return regr\"\"\"","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:58+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1298713135","id":"20200915-183831_329550109","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:58+0000","dateFinished":"2020-09-15T20:19:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6136","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\noml.script.create(\"MyGlobalLM_function\", func=build_lm3, is_global=True, overwrite=True)","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:59+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1542956961","id":"20200915-183831_439201644","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:59+0000","dateFinished":"2020-09-15T20:19:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6137","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\nres = oml.table_apply(IRIS, func=\"MyGlobalLM_function\", \n oml_input_type=\"pandas.DataFrame\")\nres","user":"OMLUSER","dateUpdated":"2020-09-15T20:19:59+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1679159780","id":"20200915-183831_1317482525","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:19:59+0000","dateFinished":"2020-09-15T20:19:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6138","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n"}]}},{"text":"%md\n\nList the scripts in the script repository available to the current user only.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:00+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_19448639","id":"20200915-183831_1008054332","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:00+0000","dateFinished":"2020-09-15T20:20:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6139","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"List the scripts in the script repository available to the current user only.
\n"}]}},{"text":"%python\n\noml.script.dir()","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:00+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_2055909873","id":"20200915-183831_198060738","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:00+0000","dateFinished":"2020-09-15T20:20:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6140","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name script description date\n0 MyLM_function2 def build_lm2(dat):\\n from sklearn import l... None 2020-09-15 20:19:53\n1 RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-15 19:35:15\n"}]}},{"text":"%md\n\nList all of the scripts available to the current user.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:01+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-60916269","id":"20200915-183831_2087690776","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:01+0000","dateFinished":"2020-09-15T20:20:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6141","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"List all of the scripts available to the current user.
\n"}]}},{"text":"%python\n\noml.script.dir(sctype='all')","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:01+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_847809011","id":"20200915-183831_194998864","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:01+0000","dateFinished":"2020-09-15T20:20:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6142","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" owner name script description date\n0 OMLUSER MyLM_function2 def build_lm2(dat):\\n from sklearn import l... None 2020-09-15 20:19:53\n1 OMLUSER RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-15 19:35:15\n2 PYQSYS MyGlobalLM_function def build_lm3(dat):\\n from sklearn import lin... None 2020-09-15 20:19:59\n3 PYQSYS RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-14 18:38:57\n4 PYQSYS compute_random_mean def compute_random_mean(index):\\n import nu... None 2020-09-14 20:23:41\n5 PYQSYS group_count def group_count(dat):\\n import oml\\n import ... None 2020-09-14 21:04:28\n6 PYQSYS my_predict def my_predict(dat):\\n import pandas as pd\\... None 2020-09-14 18:38:51\n7 PYQSYS pred_lm def pred_lm(dat):\\n from sklearn import lin... None 2020-09-14 18:38:54\n"}]}},{"text":"%md\n\nList the scripts available to all users.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:02+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-784852461","id":"20200915-183831_437954383","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:02+0000","dateFinished":"2020-09-15T20:20:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6143","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"List the scripts available to all users.
\n"}]}},{"text":"%python\n\noml.script.dir(sctype='global')","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:02+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1165614122","id":"20200915-183831_1618482932","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:02+0000","dateFinished":"2020-09-15T20:20:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6144","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name script description date\n0 MyGlobalLM_function def build_lm3(dat):\\n from sklearn import lin... None 2020-09-15 20:19:59\n1 RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-14 18:38:57\n2 compute_random_mean def compute_random_mean(index):\\n import nu... None 2020-09-14 20:23:41\n3 group_count def group_count(dat):\\n import oml\\n import ... None 2020-09-14 21:04:28\n4 my_predict def my_predict(dat):\\n import pandas as pd\\... None 2020-09-14 18:38:51\n5 pred_lm def pred_lm(dat):\\n from sklearn import lin... None 2020-09-14 18:38:54\n"}]}},{"text":"%md\n## Loading functions from the script repository\n\nLoad the MyLM_function1 and MyGlobalLM_function scripts, and pull the models to the local Python session. For MYLM, build the model on the IRIS data set and pull the coefficients. For GlobalMYLM, build and display the model.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:03+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1098289655","id":"20200915-183831_1627785089","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:03+0000","dateFinished":"2020-09-15T20:20:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6145","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Loading functions from the script repository
\nLoad the MyLM_function1 and MyGlobalLM_function scripts, and pull the models to the local Python session. For MYLM, build the model on the IRIS data set and pull the coefficients. For GlobalMYLM, build and display the model.
\n"}]}},{"text":"%python\n\nMYLM = oml.script.load(name=\"MyLM_function2\")\nGlobalMYLM = oml.script.load(name=\"MyGlobalLM_function\")\n\nprint(\"Coefficients: \", MYLM(IRIS.pull()).coef_)\nprint(\"Model: \", GlobalMYLM(IRIS.pull()))","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:03+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_343294910","id":"20200915-183831_293336067","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:03+0000","dateFinished":"2020-09-15T20:20:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6146","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Coefficients: [[ 0.49588894 0.82924391 -0.31515517 -0.72356196 -1.02349781]]\nModel: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n"}]}},{"text":"%md\n\nList the available scripts.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:04+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-545937944","id":"20200915-183831_1578371516","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:04+0000","dateFinished":"2020-09-15T20:20:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6147","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"List the available scripts.
\n"}]}},{"text":"%python\n\noml.script.dir(sctype=\"all\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:04+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_1447164411","id":"20200915-183831_2122021692","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:04+0000","dateFinished":"2020-09-15T20:20:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6148","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" owner name script description date\n0 OMLUSER MyLM_function2 def build_lm2(dat):\\n from sklearn import l... None 2020-09-15 20:19:53\n1 OMLUSER RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-15 19:35:15\n2 PYQSYS MyGlobalLM_function def build_lm3(dat):\\n from sklearn import lin... None 2020-09-15 20:19:59\n3 PYQSYS RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-14 18:38:57\n4 PYQSYS compute_random_mean def compute_random_mean(index):\\n import nu... None 2020-09-14 20:23:41\n5 PYQSYS group_count def group_count(dat):\\n import oml\\n import ... None 2020-09-14 21:04:28\n6 PYQSYS my_predict def my_predict(dat):\\n import pandas as pd\\... None 2020-09-14 18:38:51\n7 PYQSYS pred_lm def pred_lm(dat):\\n from sklearn import lin... None 2020-09-14 18:38:54\n"}]}},{"text":"%md\n## Drop scripts from repository\n\nDrop one of the private scripts.\n\nDrop the global script.\n\nList the available scripts again.\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:05+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_553729285","id":"20200915-183831_789598589","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:05+0000","dateFinished":"2020-09-15T20:20:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6149","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Drop scripts from repository
\nDrop one of the private scripts.
\nDrop the global script.
\nList the available scripts again.
\n"}]}},{"text":"%python\n\noml.script.drop(\"MyLM_function2\")\noml.script.drop(\"MyGlobalLM_function\", is_global=True)\noml.script.dir(sctype=\"all\")","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:05+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-1223896669","id":"20200915-183831_1627747184","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:05+0000","dateFinished":"2020-09-15T20:20:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6150","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" owner name script description date\n0 OMLUSER RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-15 19:35:15\n1 PYQSYS RandomRedDots def RandomRedDots (num_dots_1=100, num_dots_2=... None 2020-09-14 18:38:57\n2 PYQSYS compute_random_mean def compute_random_mean(index):\\n import nu... None 2020-09-14 20:23:41\n3 PYQSYS group_count def group_count(dat):\\n import oml\\n import ... None 2020-09-14 21:04:28\n4 PYQSYS my_predict def my_predict(dat):\\n import pandas as pd\\... None 2020-09-14 18:38:51\n5 PYQSYS pred_lm def pred_lm(dat):\\n from sklearn import lin... None 2020-09-14 18:38:54\n"}]}},{"text":"%md\n\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T20:20:05+0000","config":{"editorSetting":{"language":"markdown","editOnDblClick":true,"completionKey":"TAB","completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"enabled":true,"editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111132_-888726795","id":"20200915-183831_530763525","dateCreated":"2020-02-19T23:52:25+0000","dateStarted":"2020-09-15T20:20:06+0000","dateFinished":"2020-09-15T20:20:06+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:6151","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]}}],"name":"OML4Py -3- Datastore and Script Repository","id":"468035","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACED2F65282:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
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+{"paragraphs":[{"text":"%md\n\n# Oracle Machine Learning for Python - Embedded Python Execution\n\n***Oracle Machine Learning for Python*** (OML4Py), a component of Oracle Machine Learning, makes the open source Python scripting language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle Machine Learning for Python integrates Python with Oracle Database, allowing users to run Python commands and scripts for statistical, machine learning, and graphical analyses on database tables and views using Python syntax. Many familiar Python functions are overloaded and translate Python functions into SQL for in-database execution, as well as providing new automated machine learning capabilities.\n\nIn this notebook, we highlight using OML4Py Embedded Python Execution. We first build a linear model in Python directly, then create a function that will use Python engines spawned by the Autonomous Database environment.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:49+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1059515020","id":"20200915-183831_1624936524","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:49+0000","dateFinished":"2020-09-15T21:32:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"focus":true,"$$hashKey":"object:10039","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle Machine Learning for Python - Embedded Python Execution
\nOracle Machine Learning for Python (OML4Py), a component of Oracle Machine Learning, makes the open source Python scripting language and environment ready for the enterprise and big data. Designed for problems involving both large and small volumes of data, Oracle Machine Learning for Python integrates Python with Oracle Database, allowing users to run Python commands and scripts for statistical, machine learning, and graphical analyses on database tables and views using Python syntax. Many familiar Python functions are overloaded and translate Python functions into SQL for in-database execution, as well as providing new automated machine learning capabilities.
\nIn this notebook, we highlight using OML4Py Embedded Python Execution. We first build a linear model in Python directly, then create a function that will use Python engines spawned by the Autonomous Database environment.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]}},{"text":"%md\n\n## Import libraries supporting OML4Py and create data table\n\nTo use OML4Py, first import the package ***oml***. \n\nUsers can get online help using Python's help function and specifying the function of interest.","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:49+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1428579233","id":"20200915-183831_1179493498","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:50+0000","dateFinished":"2020-09-15T21:32:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10040","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Import libraries supporting OML4Py and create data table
\nTo use OML4Py, first import the package oml.
\nUsers can get online help using Python's help function and specifying the function of interest.
\n"}]}},{"title":"Import libraries","text":"%python\n\nimport warnings\nwarnings.filterwarnings('ignore')\n\nimport oml","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:50+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1017521241","id":"20200915-183831_59284830","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:50+0000","dateFinished":"2020-09-15T21:32:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10041","results":{"code":"SUCCESS","msg":[]}},{"title":"Create a table for the IRIS data","text":"%python\n\nfrom sklearn.datasets import load_iris\nfrom sklearn import linear_model\nimport pandas as pd\n\niris = load_iris()\nx = pd.DataFrame(iris.data, \n columns = [\"SEPAL_LENGTH\", \"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\"])\ny = pd.DataFrame(list(map(lambda x: {0:'setosa', 1: 'versicolor', 2:'virginica'}[x], iris.target)), \n columns = ['SPECIES'])\niris_df = pd.concat([x,y], axis=1)\n\ntry:\n oml.drop(table=\"IRIS\")\nexcept:\n pass\nIRIS = oml.create(iris_df, table=\"IRIS\")\nIRIS.head(4)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:50+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true,"title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1571867514","id":"20200915-183831_727722048","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:51+0000","dateFinished":"2020-09-15T21:32:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10042","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" SEPAL_LENGTH SEPAL_WIDTH PETAL_LENGTH PETAL_WIDTH SPECIES\n0 4.6 3.6 1 0.2 setosa\n1 5.1 2.5 3 1.1 versicolor\n2 6.0 2.2 4 1.0 versicolor\n3 5.8 2.6 4 1.2 versicolor\n"}]}},{"text":"%md\n\n# Build and score a linear model from sklearn directly in Python\n\nA best practice with embedded Python execution is to validate your Python script, and then your user-defined function before invoking the embedded Python APIs. The next few paragraphs exercise the functionality we want.","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:51+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-436974928","id":"20200915-183831_520914320","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:51+0000","dateFinished":"2020-09-15T21:32:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10043","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Build and score a linear model from sklearn directly in Python
\nA best practice with embedded Python execution is to validate your Python script, and then your user-defined function before invoking the embedded Python APIs. The next few paragraphs exercise the functionality we want.
\n"}]}},{"text":"%python\n\nfrom sklearn import linear_model\nlm = linear_model.LinearRegression()\nX = iris_df[[\"PETAL_WIDTH\"]]\ny = iris_df[[\"PETAL_LENGTH\"]]\nmod = lm.fit(X, y)\nprint(\"Model:\",mod)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:51+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-2212994","id":"20200915-183831_877239423","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:52+0000","dateFinished":"2020-09-15T21:32:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10044","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Model: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n"}]}},{"text":"%python\n\npred = mod.predict(iris_df[[\"PETAL_WIDTH\"]])\npred[0:10]","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:52+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1133978095","id":"20200915-183831_1944884677","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:52+0000","dateFinished":"2020-09-15T21:32:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10045","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"array([[1.52954613],\n [1.52954613],\n [1.52954613],\n [1.52954613],\n [1.52954613],\n [1.97553423],\n [1.75254018],\n [1.52954613],\n [1.52954613],\n [1.30655208]])\n"}]}},{"text":"%md\n\nAssess model quality using mean squared error and R^2 and generate a scatterplot of the data along with a plot of the regression line.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:52+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1359729520","id":"20200915-183831_1508147664","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:53+0000","dateFinished":"2020-09-15T21:32:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10046","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Assess model quality using mean squared error and R^2 and generate a scatterplot of the data along with a plot of the regression line.
\n"}]}},{"text":"%python\n\nfrom sklearn.metrics import mean_squared_error, r2_score\n\nprint('Coefficients: \\n', mod.coef_)\nprint(\"Mean squared error: %.2f\"\n % mean_squared_error(iris_df[[\"PETAL_LENGTH\"]], pred))\n\nprint('Variance score (1 is perfect prediction): %.2f' % r2_score(iris_df[[\"PETAL_LENGTH\"]], pred))\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:53+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-527546107","id":"20200915-183831_582991737","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:53+0000","dateFinished":"2020-09-15T21:32:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10047","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Coefficients: \n [[2.2299405]]\nMean squared error: 0.23\nVariance score (1 is perfect prediction): 0.93\n"}]}},{"text":"%python\n\nimport matplotlib.pyplot as plt\n\nplt.scatter(iris_df.loc[:,\"PETAL_WIDTH\"], iris_df.loc[:,\"PETAL_LENGTH\"])\nplt.plot(iris_df[[\"PETAL_WIDTH\"]], pred, color='blue', linewidth=3)\nplt.grid(True)\nplt.title('Prediction of Petal Length')\n#plt.xticks(()) # Disable ticks\n#plt.yticks(())\nplt.xlabel('Petal Width')\nplt.ylabel('Petal Length')\n\nplt.show()","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:53+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_633378297","id":"20200915-183831_1517118773","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:54+0000","dateFinished":"2020-09-15T21:32:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10048","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"}]}},{"text":"%md\n\n# Build this same model using embedded Python execution\n\nUsing embedded Python execution, let's build the same linear model, but spawned Python engines under control of the Autonomous Database environment. First, we'll define our function, ***build_lm_1***, that returns the model as the result. We refer to this as a \"user-defined function.\" As we did above, we'll go further and score the training data and plot the model against the data points. Note that embedded Python execution can return images as well as structured content in the Python API. In the SQL API, as you'll see in another script, you choose between structured data, images, or XML output.\n\nWe run this function to ensure it returns what we expect. In this case, both an image and a model.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:55+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1903898319","id":"20200915-183831_1303937280","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:55+0000","dateFinished":"2020-09-15T21:32:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10049","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Build this same model using embedded Python execution
\n
Using embedded Python execution, let's build the same linear model, but spawned Python engines under control of the Autonomous Database environment. First, we'll define our function, build_lm_1, that returns the model as the result. We refer to this as a “user-defined function.” As we did above, we'll go further and score the training data and plot the model against the data points. Note that embedded Python execution can return images as well as structured content in the Python API. In the SQL API, as you'll see in another script, you choose between structured data, images, or XML output.
\n
We run this function to ensure it returns what we expect. In this case, both an image and a model.
\n"}]}},{"text":"%python\n\ndef build_lm_1(dat):\n import oml\n from sklearn import linear_model\n import matplotlib.pyplot as plt\n\n lm = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n mod = lm.fit(X, y)\n \n pred = mod.predict(dat[[\"PETAL_WIDTH\"]])\n plt.scatter(dat.loc[:,\"PETAL_WIDTH\"], dat.loc[:,\"PETAL_LENGTH\"])\n plt.plot(dat[[\"PETAL_WIDTH\"]], pred, color='blue', linewidth=3)\n plt.grid(True)\n plt.title('Prediction of Petal Length')\n \n plt.xlabel('Petal Width')\n plt.ylabel('Petal Length')\n plt.show()\n return mod\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:55+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_2138374555","id":"20200915-183831_816800614","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:56+0000","dateFinished":"2020-09-15T21:32:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10050","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\nbuild_lm_1(iris_df)","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:56+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_625880327","id":"20200915-183831_1874085501","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:56+0000","dateFinished":"2020-09-15T21:32:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10051","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\nLinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n"}]}},{"text":"%md\n\nThe ***table_apply*** function takes the proxy object *IRIS* as input data and loads that data to the user-defined function as a pandas DataFrame. The user-defined function is passed as a Python string. We see that the model comes back as an OML object, which we can pull to the client and see that it's the linear model. We also display the image automatically.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:58+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1343032339","id":"20200915-183831_1581372019","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:58+0000","dateFinished":"2020-09-15T21:32:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10052","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
The table_apply function takes the proxy object IRIS as input data and loads that data to the user-defined function as a pandas DataFrame. The user-defined function is passed as a Python string. We see that the model comes back as an OML object, which we can pull to the client and see that it's the linear model. We also display the image automatically.
\n"}]}},{"text":"%python\n\ndef build_lm_1(dat):\n import oml\n from sklearn import linear_model\n import matplotlib.pyplot as plt\n\n lm = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n mod = lm.fit(X, y)\n \n pred = mod.predict(dat[[\"PETAL_WIDTH\"]])\n plt.scatter(dat.loc[:,\"PETAL_WIDTH\"], dat.loc[:,\"PETAL_LENGTH\"])\n plt.plot(dat[[\"PETAL_WIDTH\"]], pred, color='blue', linewidth=3)\n plt.grid(True)\n plt.title('Prediction of Petal Length')\n \n plt.xlabel('Petal Width')\n plt.ylabel('Petal Length')\n plt.show()\n return mod\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:58+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1557315540","id":"20200915-183831_1467541562","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:58+0000","dateFinished":"2020-09-15T21:32:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10053","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\nmod = oml.table_apply(data=IRIS, func = build_lm_1)\nprint(\"Type:\",type(mod))\nprint(\"Object:\",mod)\n\nprint(\"\\nType:\",type(mod))\nprint(\"Model:\",mod)\nprint(\"Coefficient\", mod.coef_)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:32:59+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":6,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1537586265","id":"20200915-183831_470226400","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:32:59+0000","dateFinished":"2020-09-15T21:33:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10054","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\nType:
\nObject: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n\nType: \nModel: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\nCoefficient [[2.2299405]]\n"}]}},{"text":"%md\n\nWe can also save this user-defined function in the Python script repository and invoke this function by providing the function name string.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:00+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1349257032","id":"20200915-183831_1372405683","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:01+0000","dateFinished":"2020-09-15T21:33:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10055","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"We can also save this user-defined function in the Python script repository and invoke this function by providing the function name string.
\n"}]}},{"text":"%python\n\nbuild_lm_1 = \"\"\"def build_lm_1(dat):\n import oml\n from sklearn import linear_model\n import matplotlib.pyplot as plt\n\n lm = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n mod = lm.fit(X, y)\n \n pred = mod.predict(dat[[\"PETAL_WIDTH\"]])\n plt.scatter(dat.loc[:,\"PETAL_WIDTH\"], dat.loc[:,\"PETAL_LENGTH\"])\n plt.plot(dat[[\"PETAL_WIDTH\"]], pred, color='blue', linewidth=3)\n plt.grid(True)\n plt.title('Prediction of Petal Length')\n \n plt.xlabel('Petal Width')\n plt.ylabel('Petal Length')\n plt.show()\n return mod\"\"\"","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_205003237","id":"20200915-183831_21999027","dateCreated":"2020-08-13T01:16:24+0000","dateStarted":"2020-09-15T21:33:01+0000","dateFinished":"2020-09-15T21:33:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10056","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\noml.script.create(\"build_lm_1\", build_lm_1, overwrite = True)\noml.script.dir()\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:01+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_350130341","id":"20200915-183831_291941528","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:02+0000","dateFinished":"2020-09-15T21:33:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10057","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name ... date\n0 RandomRedDots ... 2020-09-15 19:35:15\n1 build_lm_1 ... 2020-09-15 21:33:02\n2 sk_svc_fit ... 2020-09-15 21:31:26\n\n[3 rows x 4 columns]\n"}]}},{"text":"%md\n\nNotice the value to ***func*** is now a string, not a Python function object, however, the results are the same.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:02+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1511187351","id":"20200915-183831_904532801","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:02+0000","dateFinished":"2020-09-15T21:33:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10058","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Notice the value to func is now a string, not a Python function object, however, the results are the same.
\n"}]}},{"text":"%python\n\nmod = oml.table_apply(data=IRIS, func = 'build_lm_1')\n\nprint(\"Type:\",type(mod))\nprint(\"Object:\",mod)\nprint(\"\\nType:\",type(mod), \"\\n\")\nprint(\"Model:\",mod)\nprint(\"Coefficient\", mod.coef_)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:02+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_37726523","id":"20200915-183831_232948456","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:03+0000","dateFinished":"2020-09-15T21:33:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10059","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\nType:
\nObject: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\n\nType: \n\nModel: LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)\nCoefficient [[2.2299405]]\n"}]}},{"text":"%md\n\nThe ***row_apply*** function can be used to invoke a user-defined function on chunks of rows, which is useful to perform scoring in parallel for native Python models. In this example, the user-defined function ***score_lm_1*** takes a pandas DataFrame and a linear model. The ***row_apply*** invocation takes as arguments the proxy object *IRIS*, that we want 10 rows scored at a time (resulting in 15 function invocations), the user-defined functions, the linear model object, and that we want the result to be returned as a single table.\n\nFor illustrative purposes, you can also use the ***group_apply*** function to partition the data according to one or more columns and score as well, passing the model as an argument.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:04+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_291525797","id":"20200915-183831_1908184274","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:05+0000","dateFinished":"2020-09-15T21:33:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10060","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The row_apply function can be used to invoke a user-defined function on chunks of rows, which is useful to perform scoring in parallel for native Python models. In this example, the user-defined function score_lm_1 takes a pandas DataFrame and a linear model. The row_apply invocation takes as arguments the proxy object IRIS, that we want 10 rows scored at a time (resulting in 15 function invocations), the user-defined functions, the linear model object, and that we want the result to be returned as a single table.
\nFor illustrative purposes, you can also use the group_apply function to partition the data according to one or more columns and score as well, passing the model as an argument.
\n"}]}},{"text":"%python\n\ndef score_lm_1(dat, model):\n import pandas as pd\n from sklearn import linear_model\n pred = model.predict(dat[[\"PETAL_WIDTH\"]])\n return pd.concat([dat[['SPECIES', 'PETAL_LENGTH']], \n pd.DataFrame(pred, columns=['PRED_PETAL_LENGTH'])], axis=1)\n\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:05+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_431701207","id":"20200915-183831_1436218385","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:05+0000","dateFinished":"2020-09-15T21:33:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10061","results":{"code":"SUCCESS","msg":[]}},{"text":"%python\n\nres = oml.row_apply(IRIS, rows=10, func=score_lm_1, model=mod, \n func_value=pd.DataFrame([('a', 1, 1)], \n columns=['SPECIES', 'PETAL_LENGTH', 'PRED_PETAL_LENGTH']))\nres.head()","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:05+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1840661961","id":"20200915-183831_814716408","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:06+0000","dateFinished":"2020-09-15T21:33:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10062","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" SPECIES PETAL_LENGTH PRED_PETAL_LENGTH\n0 setosa 1.3 1.75254\n1 setosa 1.3 1.75254\n2 setosa 1.4 1.75254\n3 setosa 1.4 1.75254\n4 setosa 1.4 1.75254\n"}]}},{"text":"%python\n\nres = oml.group_apply(IRIS, index=IRIS[['SPECIES']], func=score_lm_1, model=mod, \n func_value=pd.DataFrame([('a', 1, 1)], \n columns=['SPECIES', 'PETAL_LENGTH', 'PRED_PETAL_LENGTH']))\n\nres.head()","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:07+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1643693647","id":"20200915-183831_694396099","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:07+0000","dateFinished":"2020-09-15T21:33:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10063","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" SPECIES PETAL_LENGTH PRED_PETAL_LENGTH\n0 setosa 1.3 1.75254\n1 setosa 1.3 1.75254\n2 setosa 1.4 1.75254\n3 setosa 1.4 1.75254\n4 setosa 1.4 1.75254\n"}]}},{"text":"%md\n\n# Build one model per SPECIES using Group Apply\n\nA better use of ***group_apply*** - the ability to automatically split the table data based on values in one or more columns - is for model building. The user-defined function is then invoked on each group. The function ***group_apply*** makes this easy, as well as specifying the desired number of parallel Python engines using the ***parallel*** argument.\n\nHere, we build three models, one specific to each species, and return them as a dictionary.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:09+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_752646187","id":"20200915-183831_1022148409","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:09+0000","dateFinished":"2020-09-15T21:33:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10064","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Build one model per SPECIES using Group Apply
\nA better use of group_apply - the ability to automatically split the table data based on values in one or more columns - is for model building. The user-defined function is then invoked on each group. The function group_apply makes this easy, as well as specifying the desired number of parallel Python engines using the parallel argument.
\nHere, we build three models, one specific to each species, and return them as a dictionary.
\n"}]}},{"text":"%python\n\n\ndef build_lm_g(dat):\n import oml\n from sklearn import linear_model\n\n lm = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n mod = lm.fit(X, y)\n \n return mod\n\nmod = oml.group_apply(IRIS[:,[\"PETAL_LENGTH\",\"PETAL_WIDTH\",\"SPECIES\"]], \n index=oml.DataFrame(IRIS['SPECIES']), \n func=build_lm_g, parallel=2,\n oml_connect = True)\nprint(\"Type:\",type(mod))\nprint(\"Type:\",type(mod))\nmod\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:09+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1974261416","id":"20200915-183831_1045753545","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:10+0000","dateFinished":"2020-09-15T21:33:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10065","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Type: \nType: \n{'virginica': LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False), 'setosa': LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False), 'versicolor': LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)}\n"}]}},{"text":"%md\n\nNext, change the user-defined function to save each model in a datastore - instead of returning it - and return ***True*** instead. The datastore allows storing Python objects in the database under the provided name. The object assumes the name it is assigned in Python, here \"mod_\" and the corresponding Species value.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:11+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1558229997","id":"20200915-183831_1916312750","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:12+0000","dateFinished":"2020-09-15T21:33:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10066","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Next, change the user-defined function to save each model in a datastore - instead of returning it - and return True instead. The datastore allows storing Python objects in the database under the provided name. The object assumes the name it is assigned in Python, here “mod_” and the corresponding Species value.
\n"}]}},{"text":"%python\n\ndef build_lm_2(dat, dsname):\n import oml\n from sklearn import linear_model\n lm = linear_model.LinearRegression()\n X = dat[[\"PETAL_WIDTH\"]]\n y = dat[[\"PETAL_LENGTH\"]]\n lm.fit(X, y)\n name = \"mod_\" + dat.loc[dat.index[0],'SPECIES']\n oml.ds.save(objs = {name: lm}, name=dsname, \n append=True) \n return name\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:12+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_462393919","id":"20200915-183831_1179216790","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:12+0000","dateFinished":"2020-09-15T21:33:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10067","results":{"code":"SUCCESS","msg":[]}},{"text":"%md\n\nIf the datastore exists, we delete it so that the ***group_apply*** function completes successfully. The ***group_apply*** function takes the data, the ***index*** parameter that specifies the column or columns to partition on, the user-defined function, and that we wish to automatically connect to the database from the Python engine. Connecting to the database is necessary when using the datastore functionality.\n\nWe then print the outcome, which contains a dictionary of three elements each assigned the model object name.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:12+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1566460081","id":"20200915-183831_528810257","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:13+0000","dateFinished":"2020-09-15T21:33:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10068","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"If the datastore exists, we delete it so that the group_apply function completes successfully. The group_apply function takes the data, the index parameter that specifies the column or columns to partition on, the user-defined function, and that we wish to automatically connect to the database from the Python engine. Connecting to the database is necessary when using the datastore functionality.
\nWe then print the outcome, which contains a dictionary of three elements each assigned the model object name.
\n"}]}},{"text":"%python\n\ntry:\n oml.ds.delete('ds-1')\nexcept:\n print(\"Datastore not found\")\nres = oml.group_apply(IRIS[:,[\"PETAL_LENGTH\",\"PETAL_WIDTH\",\"SPECIES\"]], \n index=oml.DataFrame(IRIS['SPECIES']), \n func=build_lm_2, dsname=\"ds-1\",\n oml_connect = True)\nprint(\"Outcome:\",res)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:13+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1053318981","id":"20200915-183831_104765070","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:13+0000","dateFinished":"2020-09-15T21:33:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10069","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Outcome: {'virginica': 'mod_virginica', 'setosa': 'mod_setosa', 'versicolor': 'mod_versicolor'}\n"}]}},{"text":"%md\n\nWhen we load the datastore, we get the three models loaded into the client Python engine, assigned to their respective variables. We can view the model for \"versicolor\".\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:16+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1138339478","id":"20200915-183831_810919691","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:17+0000","dateFinished":"2020-09-15T21:33:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10070","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"When we load the datastore, we get the three models loaded into the client Python engine, assigned to their respective variables. We can view the model for “versicolor”.
\n"}]}},{"text":"%md\n\nEmbedded Python execution can also leverage functions from third-party packages. These packages need to be installed on the database server machine, but can then be used inside the user-defined function as shown here using ***LinearSVC***.\n\nAgain, we create this script in the Python script repository and then invoke it by name using ***table_apply***. We then pull the model to the client and view its type.","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:17+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-906989400","id":"20200915-183831_1028489036","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:17+0000","dateFinished":"2020-09-15T21:33:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10071","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Embedded Python execution can also leverage functions from third-party packages. These packages need to be installed on the database server machine, but can then be used inside the user-defined function as shown here using LinearSVC.
\nAgain, we create this script in the Python script repository and then invoke it by name using table_apply. We then pull the model to the client and view its type.
\n"}]}},{"text":"%python\n\nfit = \"\"\"def fit(data):\n\n from sklearn.svm import LinearSVC\n x = data.drop('SPECIES', axis = 1).values\n y = data['SPECIES']\n mod = LinearSVC().fit(x, y)\n return mod\"\"\"\n\noml.script.create(\"sk_svc_fit\", fit, overwrite = True)\noml.script.dir()\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:17+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_2075872474","id":"20200915-183831_175598717","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:18+0000","dateFinished":"2020-09-15T21:33:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10072","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name ... date\n0 RandomRedDots ... 2020-09-15 19:35:15\n1 build_lm_1 ... 2020-09-15 21:33:02\n2 sk_svc_fit ... 2020-09-15 21:33:18\n\n[3 rows x 4 columns]\n"}]}},{"text":"%python\n\nmod = oml.table_apply(data=IRIS, \n func = 'sk_svc_fit',\n oml_input_type=\"pandas.DataFrame\")\nprint(\"Type:\",type(mod))\nprint(type(mod))\nprint('Coefficients: \\n', mod.coef_)","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:18+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-256157793","id":"20200915-183831_2014249307","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:18+0000","dateFinished":"2020-09-15T21:33:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10073","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Type: \n\nCoefficients: \n [[ 0.18423303 0.45122758 -0.80794677 -0.45071317]\n [ 0.05505301 -0.89689336 0.40884837 -0.96095492]\n [-0.85066883 -0.98659783 1.38092883 1.86539761]]\n"}]}},{"text":"%md\n\nThe model can now be used normally, e.g., to predict outcomes.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:18+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_90787018","id":"20200915-183831_1702857902","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:19+0000","dateFinished":"2020-09-15T21:33:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10074","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The model can now be used normally, e.g., to predict outcomes.
\n"}]}},{"text":"%python\n\npred = mod.predict(iris_df.drop('SPECIES', axis = 1).values)\npred2 = pred.reshape((-1,1))\npred2[0:10]\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:19+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_863668699","id":"20200915-183831_857618514","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:19+0000","dateFinished":"2020-09-15T21:33:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10075","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"array([['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa'],\n ['setosa']], dtype=object)\n"}]}},{"text":"%md\n\nLet's assess model quality using a confusion matrix computed from the ***sklearn.metrics*** function confusion_matrix.","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:19+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1040669707","id":"20200915-183831_45854408","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:20+0000","dateFinished":"2020-09-15T21:33:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10076","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Let's assess model quality using a confusion matrix computed from the sklearn.metrics function confusion_matrix.
\n"}]}},{"text":"%python\n\nfrom sklearn.metrics import confusion_matrix\n\nconf_mat = confusion_matrix(iris_df[[\"SPECIES\"]], pred2)\nconf_mat\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:20+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-595177921","id":"20200915-183831_37642781","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:20+0000","dateFinished":"2020-09-15T21:33:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10077","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"array([[50, 0, 0],\n [ 0, 47, 3],\n [ 0, 2, 48]])\n"}]}},{"text":"%md\n\nThe ***group_apply*** function can be used for simple or complex computations. For example, here it is used to simply count the number of each species in the data set.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:20+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1704198477","id":"20200915-183831_457016328","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:21+0000","dateFinished":"2020-09-15T21:33:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10078","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The group_apply function can be used for simple or complex computations. For example, here it is used to simply count the number of each species in the data set.
\n"}]}},{"text":"%python\n\ndef group_count(dat):\n import pandas as pd\n return pd.DataFrame([(dat[\"SPECIES\"][0], dat.shape[0])],\n columns = [\"SPECIES\", \"CNT\"])\n\nindex = oml.DataFrame(IRIS['SPECIES'])\nres = oml.group_apply(IRIS, index, func=group_count,\n oml_input_type=\"pandas.DataFrame\",\n func_value=pd.DataFrame([('a', 1)],\n columns=[\"SPECIES\", \"CNT\"]))\nres\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:21+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1746032884","id":"20200915-183831_1495528341","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:21+0000","dateFinished":"2020-09-15T21:33:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10079","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" SPECIES CNT\n0 virginica 50\n1 setosa 50\n2 versicolor 50\n"}]}},{"text":"%md\n\nThe ***index_apply*** function allows the same function to invoked a specified number of times. The first argument to the user-defined function is an index number for the function execution. For example, if the \"times\" argument is 12, each function invocation will receive a distinct value between 1 and 10. This can be used, e.g., for selecting behavior within the function or setting a random seed for Monte Carlo analysis.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:23+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1756922750","id":"20200915-183831_112315287","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:23+0000","dateFinished":"2020-09-15T21:33:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10080","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The index_apply function allows the same function to invoked a specified number of times. The first argument to the user-defined function is an index number for the function execution. For example, if the “times” argument is 12, each function invocation will receive a distinct value between 1 and 10. This can be used, e.g., for selecting behavior within the function or setting a random seed for Monte Carlo analysis.
\n"}]}},{"text":"%python\n\ndef compute_random_mean(index):\n import numpy as np\n import scipy\n from statistics import mean \n np.random.seed(index)\n res = np.random.random((100,1))*10\n return mean(res[1])\n\nprint(\"Test: \", compute_random_mean(3))\n\nres = oml.index_apply(times=12, func=compute_random_mean)\nres\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:23+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_669405191","id":"20200915-183831_2003730390","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:24+0000","dateFinished":"2020-09-15T21:33:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10081","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Test: 7.081478226181048\n[7.203244934421581, 0.25926231827891333, 7.081478226181048, 5.4723224917572235, 8.707323061773764, 3.3197980530117723, 7.7991879224011464, 9.68540662820932, 5.018745921487388, 0.207519493594015, 0.19475241487624584, 7.400496965154048]\n"}]}},{"text":"%md\n\n# Multiple images returned from embedded Python execution\n\nHere, we create a function ***RandomRedDots*** that creates a simple DataFrame and generates two plots of random red dots. We create a function in the Python Script Repository named \"RandomRedDots\", and then run the native Python function.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:24+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-629124665","id":"20200915-183831_8694007","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:24+0000","dateFinished":"2020-09-15T21:33:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10082","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Multiple images returned from embedded Python execution
\nHere, we create a function RandomRedDots that creates a simple DataFrame and generates two plots of random red dots. We create a function in the Python Script Repository named “RandomRedDots”, and then run the native Python function.
\n"}]}},{"text":"%python\n\nRandomRedDots = \"\"\"def RandomRedDots ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt\n \n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n plt.scatter(range(0,100), np.random.rand(100),c='r')\n plt.title(\"Random Red Dots\")\n plt.show()\n plt.scatter(range(0,10), np.random.rand(10),c='r')\n plt.title(\"Random Red Dots\")\n plt.show()\n return df\"\"\"\n\n\noml.script.create(\"RandomRedDots\", func=RandomRedDots, is_global=True, overwrite=True)\n\nprint(RandomRedDots)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:25+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1518765867","id":"20200915-183831_1191009321","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:25+0000","dateFinished":"2020-09-15T21:33:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10083","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"def RandomRedDots ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt\n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n plt.scatter(range(0,100), np.random.rand(100),c='r')\n plt.title(\"Random Red Dots\")\n plt.show()\n plt.scatter(range(0,10), np.random.rand(10),c='r')\n plt.title(\"Random Red Dots\")\n plt.show()\n return df\n"}]}},{"text":"%md\n\nIf we simply invoke the named function, we see that the result is an OML object. Notice that we see only a single image. To ensure we get both plots, we can modify the function in one of two ways as shown next.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:25+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-2039222540","id":"20200915-183831_1310247442","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:25+0000","dateFinished":"2020-09-15T21:33:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10084","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"If we simply invoke the named function, we see that the result is an OML object. Notice that we see only a single image. To ensure we get both plots, we can modify the function in one of two ways as shown next.
\n"}]}},{"text":"%python\n\nres = oml.do_eval(func=\"RandomRedDots\")\nprint(\"Type: \", type(res))\n\nres\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:26+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_208304218","id":"20200915-183831_1250729160","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:26+0000","dateFinished":"2020-09-15T21:33:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10085","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Type: \n id val\n0 1 0.01\n1 2 0.02\n2 3 0.03\n3 4 0.04\n4 5 0.05\n5 6 0.06\n6 7 0.07\n7 8 0.08\n8 9 0.09\n"},{"type":"HTML","data":"
\n
\n"}]}},{"text":"%md\n\nInvoke the *RandomRedDots* function from the REST API with *graphicsFlag* to *true*:\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:27+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{"token":""},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1115008216","id":"20200915-183831_1877624446","dateCreated":"2020-06-06T23:28:19+0000","dateStarted":"2020-09-15T21:33:27+0000","dateFinished":"2020-09-15T21:33:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10086","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Invoke the RandomRedDots function from the REST API with graphicsFlag to true:
\n"}]}},{"text":"\n\n$ curl -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"graphicsFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/do-eval/RandomRedDots\"\n","user":"OMLUSER","dateUpdated":"2020-09-01T22:47:56+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1008117865","id":"20200915-183831_1129993150","dateCreated":"2020-08-11T22:45:54+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10087"},{"text":"%md\n\nHere, we create separate figure objects, add subplots, and then create the scatter plot. We'll store this in the script repository as \"RandomRedDots2\" and \ninvoke the function to see the results. As expected, we get both plots.\n\nNow, when we invoke \"RandomRedDots2\" using embedded Python execution, we get both plots shown in the result.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:27+0000","config":{"tableHide":false,"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1948270776","id":"20200915-183831_1268402589","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:28+0000","dateFinished":"2020-09-15T21:33:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10088","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Here, we create separate figure objects, add subplots, and then create the scatter plot. We'll store this in the script repository as “RandomRedDots2” and\n
invoke the function to see the results. As expected, we get both plots.
\n
Now, when we invoke “RandomRedDots2” using embedded Python execution, we get both plots shown in the result.
\n"}]}},{"text":"%python\n\nRandomRedDots2 = \"\"\"def RandomRedDots2 ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt \n\n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n fig = plt.figure(1)\n ax = fig.add_subplot(111)\n ax.scatter(range(0,100), np.random.rand(100),c='r')\n fig.suptitle(\"Random Red Dots\")\n\n fig2 = plt.figure(2)\n ax2 = fig2.add_subplot(111)\n ax2.scatter(range(0,10), np.random.rand(10),c='r')\n fig2.suptitle(\"Random Red Dots\")\n return df\"\"\"\n\noml.script.create(\"RandomRedDots2\", func=RandomRedDots2, is_global=True, overwrite=True)\n\nprint(RandomRedDots2)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:28+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1821708749","id":"20200915-183831_1709106938","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:28+0000","dateFinished":"2020-09-15T21:33:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10089","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"def RandomRedDots2 ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt \n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n fig = plt.figure(1)\n ax = fig.add_subplot(111)\n ax.scatter(range(0,100), np.random.rand(100),c='r')\n fig.suptitle(\"Random Red Dots\")\n fig2 = plt.figure(2)\n ax2 = fig2.add_subplot(111)\n ax2.scatter(range(0,10), np.random.rand(10),c='r')\n fig2.suptitle(\"Random Red Dots\")\n return df\n"}]}},{"text":"%python\n\nres = oml.do_eval(func=\"RandomRedDots2\")\ntype(res)\n\nres\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:28+0000","config":{"tableHide":false,"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true,"completionKey":"TAB"},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"editorHide":false,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-601869236","id":"20200915-183831_1488622985","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:33:29+0000","dateFinished":"2020-09-15T21:33:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10090","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" id val\n0 1 0.01\n1 2 0.02\n2 3 0.03\n3 4 0.04\n4 5 0.05\n5 6 0.06\n6 7 0.07\n7 8 0.08\n8 9 0.09\n"},{"type":"HTML","data":"
\n
\n"}]}},{"text":"%md\n\nHere is the equivalent REST API call:\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:33:30+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-976179938","id":"20200915-183831_1240267395","dateCreated":"2020-06-06T23:28:47+0000","dateStarted":"2020-09-15T21:36:30+0000","dateFinished":"2020-09-15T21:36:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10091","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Here is the equivalent REST API call:
\n"}]}},{"text":"\n\n$ curl -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"graphicsFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/do-eval/RandomRedDots2\"","user":"CHARLIE","dateUpdated":"2020-08-31T21:49:47+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-1757228171","id":"20200915-183831_1344509058","dateCreated":"2020-08-11T22:47:21+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10092"},{"text":"%md\n\nAnother way to approach this is to create a single plot composed to two subplots. This approach is somewhat simpler, but yields only a single image. Generating two images may be desired when using the SQL API so that each image is returned as a separate row. See the SQL API demo script for an example.","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:30+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1361153566","id":"20200915-183831_1121472842","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:30+0000","dateFinished":"2020-09-15T21:36:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10093","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Another way to approach this is to create a single plot composed to two subplots. This approach is somewhat simpler, but yields only a single image. Generating two images may be desired when using the SQL API so that each image is returned as a separate row. See the SQL API demo script for an example.
\n"}]}},{"text":"%python\n\nRandomRedDots3 = \"\"\"def RandomRedDots3 ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt\n import oml \n\n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n\n plt.subplot(2,1, 1)\n plt.scatter(range(0,100), np.random.rand(100),c='r')\n plt.title(\"Random Red Dots\")\n\n plt.subplot(2, 1, 2)\n plt.scatter(range(0,10), np.random.rand(10),c='r')\n plt.title(\"Random Red Dots\")\n return df\"\"\"\n\noml.script.create(\"RandomRedDots3\", func=RandomRedDots3, is_global=True, overwrite=True)\noml.do_eval(func=\"RandomRedDots3\", oml_connect = True)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:31+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-804645408","id":"20200915-183831_1312981573","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:31+0000","dateFinished":"2020-09-15T21:36:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10094","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" id val\n0 1 0.01\n1 2 0.02\n2 3 0.03\n3 4 0.04\n4 5 0.05\n5 6 0.06\n6 7 0.07\n7 8 0.08\n8 9 0.09\n"},{"type":"HTML","data":"
\n"}]}},{"text":"%md\n\nHere is the equivalent REST API call:\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:33+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-512549551","id":"20200915-183831_1624527340","dateCreated":"2020-06-06T23:29:12+0000","dateStarted":"2020-09-15T21:36:33+0000","dateFinished":"2020-09-15T21:36:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10095","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Here is the equivalent REST API call:
\n"}]}},{"text":"\n\n$ curl -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"graphicsFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/do-eval/RandomRedDots3\"","user":"CHARLIE","dateUpdated":"2020-08-31T21:49:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1895646357","id":"20200915-183831_748637936","dateCreated":"2020-08-11T22:48:21+0000","status":"READY","errorMessage":"","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10096"},{"text":"%md\n\nWe can also return only the structured contents as an OML DataFrame, which keeps the result in the database - returning a proxy object to the result. We pull the results to the notebook explicitly to display it locally.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:34+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1000180068","id":"20200915-183831_751638568","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:34+0000","dateFinished":"2020-09-15T21:36:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10097","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
We can also return only the structured contents as an OML DataFrame, which keeps the result in the database - returning a proxy object to the result. We pull the results to the notebook explicitly to display it locally.
\n"}]}},{"text":"%python\n\nimport pandas as pd\nres = oml.do_eval(func=RandomRedDots, func_value=pd.DataFrame({\"id\":[0],\"val\":[0]}))\ntype(res)\n\nres.pull()\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:34+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-466019095","id":"20200915-183831_1992812382","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:35+0000","dateFinished":"2020-09-15T21:36:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10098","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"},{"type":"HTML","data":"
\n id val\n0 1 0.01\n1 2 0.02\n2 3 0.03\n3 4 0.04\n4 5 0.05\n5 6 0.06\n6 7 0.07\n7 8 0.08\n8 9 0.09\n"}]}},{"text":"%md\n\nFinally, note that a function stored in the Python Script Repository can be loaded back in the Python client engine, we can view its source, and finally invoke the function.\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:37+0000","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_1204777208","id":"20200915-183831_886997851","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:37+0000","dateFinished":"2020-09-15T21:36:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10099","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Finally, note that a function stored in the Python Script Repository can be loaded back in the Python client engine, we can view its source, and finally invoke the function.
\n"}]}},{"text":"%python\n\nrandom_red_dots = oml.script.load('RandomRedDots2')\n\nprint(random_red_dots.get_source())\nrandom_red_dots()\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:37+0000","config":{"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"colWidth":12,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"enabled":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_-582516476","id":"20200915-183831_1658889214","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:38+0000","dateFinished":"2020-09-15T21:36:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10100","results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"def RandomRedDots2 ():\n import numpy as np\n import pandas as pd\n import matplotlib.pyplot as plt \n d = {'id': range(1,10), 'val': [x/100 for x in range(1,10)]}\n df = pd.DataFrame(data=d)\n fig = plt.figure(1)\n ax = fig.add_subplot(111)\n ax.scatter(range(0,100), np.random.rand(100),c='r')\n fig.suptitle(\"Random Red Dots\")\n fig2 = plt.figure(2)\n ax2 = fig2.add_subplot(111)\n ax2.scatter(range(0,10), np.random.rand(10),c='r')\n fig2.suptitle(\"Random Red Dots\")\n return df\n id val\n0 1 0.01\n1 2 0.02\n2 3 0.03\n3 4 0.04\n4 5 0.05\n5 6 0.06\n6 7 0.07\n7 8 0.08\n8 9 0.09\n"},{"type":"HTML","data":"
\n
\n"}]}},{"text":"%md\n\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:36:39+0000","config":{"editorSetting":{"language":"markdown","editOnDblClick":true,"completionKey":"TAB","completionSupport":false},"colWidth":12,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"enabled":true,"editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195111381_598887560","id":"20200915-183831_648604626","dateCreated":"2020-02-19T23:52:34+0000","dateStarted":"2020-09-15T21:36:39+0000","dateFinished":"2020-09-15T21:36:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:10101","results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
End of Script
\n"}]}}],"name":"OML4Py -4- Embedded Python Execution","id":"468037","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACED2F65282:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/python/OML4Py_Anomaly_Detection.json b/machine-learning/notebooks/python/OML4Py_Anomaly_Detection.json
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@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n## Anomaly Detection to Detect Unusual or Rare Occurrences\nOracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in your data using the semi-supervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a One-Class SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:38+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":152,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Anomaly Detection to Detect Unusual or Rare Occurrences
\n
Oracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in your data using the semi-supervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a One-Class SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105313_-1174724636","id":"20200915-183825_2054052957","dateCreated":"2020-03-30T14:51:39+0000","dateStarted":"2020-09-15T21:44:38+0000","dateFinished":"2020-09-15T21:44:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md \r\n
\r\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/anomalydetection-5663169.jpg\")
\r\n
","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:38+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":155.016,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105313_1780639132","id":"20200915-183825_173200103","dateCreated":"2020-06-03T17:54:59+0000","dateStarted":"2020-09-15T21:44:39+0000","dateFinished":"2020-09-15T21:44:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation
\nOML folder on Oracle Github \nOML web page: \nOML Anomaly Detection: ","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Anomaly Detection: http://www.oracle.com/goto/ml-anomaly-detection
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105313_-239626398","id":"20200915-183825_843353242","dateCreated":"2020-06-09T21:45:56+0000","dateStarted":"2020-09-15T21:44:39+0000","dateFinished":"2020-09-15T21:44:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\n\nimport pandas as pd\nimport oml\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:39+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105313_-1694018777","id":"20200915-183825_1414904342","dateCreated":"2020-04-01T19:47:46+0000","dateStarted":"2020-09-15T21:44:39+0000","dateFinished":"2020-09-15T21:44:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Create OML Data Frames for table CUSTOMERS and SUPPLEMENTARY_DEMOGRAPHICS","text":"%python\n\n\nCUSTOMERS = oml.sync(query = 'SELECT CUST_ID, CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, CUST_CREDIT_LIMIT FROM SH.CUSTOMERS')\nDEMO_DF = oml.sync(query = \"\"\"SELECT CUST_ID, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION, YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS\"\"\")\n \n","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:48+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105313_-1104805381","id":"20200915-183825_1557239925","dateCreated":"2020-04-01T19:10:06+0000","dateStarted":"2020-09-15T21:44:49+0000","dateFinished":"2020-09-15T21:44:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display a few rows from CUSTOMERS","text":"%python\n\nz.show(CUSTOMERS.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:49+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_GENDER","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\n49671\tM\tmarried\t1976\tG: 130,000 - 149,999\t1500\n3228\tM\tNone\t1964\tG: 130,000 - 149,999\t7000\n6783\tM\tsingle\t1942\tG: 130,000 - 149,999\t11000\n10338\tM\tmarried\t1977\tG: 130,000 - 149,999\t1500\n13894\tM\tNone\t1949\tG: 130,000 - 149,999\t9000\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_-113512174","id":"20200915-183825_1074310370","dateCreated":"2020-04-01T20:19:49+0000","dateStarted":"2020-09-15T21:44:49+0000","dateFinished":"2020-09-15T21:44:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Display a few rows from DEMO_DF","text":"%python\n\nz.show(DEMO_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n102547\t10th\t0\t1\tOther\t0\t1\n101050\t10th\t0\t1\tOther\t0\t1\n100040\t11th\t0\t1\tSales\t0\t1\n102117\tHS-grad\t0\t1\tFarming\t0\t1\n101074\t10th\t0\t1\tHandler\t1\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_-1404670320","id":"20200915-183825_1446955045","dateCreated":"2020-04-01T20:20:03+0000","dateStarted":"2020-09-15T21:44:50+0000","dateFinished":"2020-09-15T21:44:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Merge (join) CUSTOMERS and DEMO_DF OML data frames on CUST_ID column ","text":"%python\n\nCUST_DF = CUSTOMERS.merge(DEMO_DF, how = \"inner\", on = 'CUST_ID',suffixes = [\"\",\"\"])\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105314_2057083955","id":"20200915-183825_801267198","dateCreated":"2020-04-01T20:19:40+0000","dateStarted":"2020-09-15T21:44:51+0000","dateFinished":"2020-09-15T21:44:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display a few rows of CUST_DF","text":"%python\n\nz.show(CUST_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:51+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_-304763407","id":"20200915-183825_2139122243","dateCreated":"2020-03-24T19:05:39+0000","dateStarted":"2020-09-15T21:44:51+0000","dateFinished":"2020-09-15T21:44:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Visualize the distribution of birth date, marital status and years of residence ","text":"%python\n\nDF = CUST_DF.crosstab(['CUST_YEAR_OF_BIRTH', 'CUST_MARITAL_STATUS'], values = 'YRS_RESIDENCE', aggfunc= oml.DataFrame.sum)\nz.show(DF)\n","user":"OMLUSER","dateUpdated":"2020-09-15T21:45:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_YEAR_OF_BIRTH":"string","CUST_MARITAL_STATUS":"string","sum(YRS_RESIDENCE)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default","stacked":true}},"commonSetting":{},"keys":[{"name":"CUST_YEAR_OF_BIRTH","index":0,"aggr":"sum"}],"groups":[{"name":"CUST_MARITAL_STATUS","index":1,"aggr":"sum"}],"values":[{"name":"sum(YRS_RESIDENCE)","index":2,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_YEAR_OF_BIRTH\tCUST_MARITAL_STATUS\tsum(YRS_RESIDENCE)\n1913\tNeverM\t23\n1913\tMarried\t29\n1921\tMarried\t8\n1922\tDivorc.\t8\n1922\tWidowed\t4\n1923\tNeverM\t4\n1923\tMarried\t10\n1924\tMabsent\t4\n1924\tMarried\t20\n1925\tMarried\t40\n1925\tWidowed\t10\n1926\tNeverM\t4\n1926\tMabsent\t8\n1926\tMarried\t34\n1926\tWidowed\t8\n1927\tWidowed\t14\n1928\tMar-AF\t2\n1928\tNeverM\t8\n1928\tDivorc.\t8\n1928\tMabsent\t6\n1928\tMarried\t16\n1928\tWidowed\t24\n1929\tDivorc.\t0\n1929\tMarried\t19\n1929\tWidowed\t8\n1930\tMarried\t7\n1930\tWidowed\t14\n1931\tDivorc.\t2\n1931\tMarried\t9\n1931\tWidowed\t22\n1932\tNeverM\t8\n1932\tSepar.\t0\n1932\tMarried\t50\n1932\tWidowed\t2\n1933\tMarried\t53\n1933\tWidowed\t9\n1934\tDivorc.\t14\n1934\tMarried\t96\n1934\tWidowed\t4\n1935\tNeverM\t10\n1935\tMabsent\t10\n1935\tMarried\t69\n1935\tWidowed\t16\n1936\tNeverM\t16\n1936\tDivorc.\t14\n1936\tMarried\t80\n1936\tWidowed\t6\n1937\tMarried\t51\n1937\tWidowed\t27\n1938\tSepar.\t6\n1938\tDivorc.\t23\n1938\tMarried\t92\n1938\tWidowed\t43\n1939\tNeverM\t11\n1939\tSepar.\t6\n1939\tDivorc.\t26\n1939\tMarried\t74\n1939\tWidowed\t14\n1940\tSepar.\t6\n1940\tDivorc.\t6\n1940\tMarried\t113\n1940\tWidowed\t55\n1941\tNeverM\t29\n1941\tDivorc.\t24\n1941\tMarried\t74\n1941\tWidowed\t24\n1942\tDivorc.\t12\n1942\tMarried\t134\n1942\tWidowed\t10\n1943\tNeverM\t12\n1943\tDivorc.\t52\n1943\tMabsent\t3\n1943\tMarried\t168\n1943\tWidowed\t48\n1944\tNeverM\t30\n1944\tSepar.\t21\n1944\tDivorc.\t64\n1944\tMabsent\t12\n1944\tMarried\t158\n1944\tWidowed\t28\n1945\tNeverM\t19\n1945\tDivorc.\t77\n1945\tMarried\t191\n1945\tWidowed\t25\n1946\tSepar.\t12\n1946\tDivorc.\t73\n1946\tMabsent\t12\n1946\tMarried\t166\n1946\tWidowed\t30\n1947\tNeverM\t48\n1947\tSepar.\t20\n1947\tDivorc.\t31\n1947\tMabsent\t8\n1947\tMarried\t177\n1948\tNeverM\t18\n1948\tSepar.\t12\n1948\tDivorc.\t60\n1948\tMabsent\t12\n1948\tMarried\t214\n1948\tWidowed\t20\n1949\tNeverM\t10\n1949\tSepar.\t10\n1949\tDivorc.\t71\n1949\tMabsent\t5\n1949\tMarried\t189\n1949\tWidowed\t5\n1950\tNeverM\t25\n1950\tDivorc.\t92\n1950\tMabsent\t35\n1950\tMarried\t195\n1950\tWidowed\t10\n1951\tNeverM\t26\n1951\tSepar.\t13\n1951\tDivorc.\t13\n1951\tMabsent\t7\n1951\tMarried\t226\n1951\tWidowed\t15\n1952\tNeverM\t16\n1952\tSepar.\t30\n1952\tDivorc.\t109\n1952\tMabsent\t3\n1952\tMarried\t274\n1952\tWidowed\t18\n1953\tSepar.\t10\n1953\tDivorc.\t45\n1953\tMabsent\t21\n1953\tMarried\t263\n1953\tWidowed\t5\n1954\tNeverM\t71\n1954\tSepar.\t71\n1954\tDivorc.\t94\n1954\tMabsent\t23\n1954\tMarried\t249\n1954\tWidowed\t12\n1955\tNeverM\t42\n1955\tSepar.\t2\n1955\tDivorc.\t123\n1955\tMabsent\t13\n1955\tMarried\t327\n1955\tWidowed\t10\n1956\tNeverM\t57\n1956\tSepar.\t40\n1956\tDivorc.\t86\n1956\tMabsent\t9\n1956\tMarried\t338\n1956\tWidowed\t16\n1957\tNeverM\t73\n1957\tSepar.\t44\n1957\tDivorc.\t118\n1957\tMabsent\t25\n1957\tMarried\t375\n1957\tWidowed\t15\n1958\tNeverM\t63\n1958\tSepar.\t15\n1958\tDivorc.\t182\n1958\tMabsent\t23\n1958\tMarried\t283\n1959\tNeverM\t61\n1959\tSepar.\t14\n1959\tDivorc.\t128\n1959\tMarried\t375\n1959\tWidowed\t6\n1960\tNeverM\t34\n1960\tSepar.\t15\n1960\tDivorc.\t88\n1960\tMabsent\t12\n1960\tMarried\t265\n1961\tNeverM\t105\n1961\tDivorc.\t80\n1961\tMarried\t317\n1961\tWidowed\t16\n1962\tNeverM\t104\n1962\tSepar.\t33\n1962\tDivorc.\t79\n1962\tMarried\t233\n1962\tWidowed\t14\n1963\tNeverM\t96\n1963\tDivorc.\t88\n1963\tMarried\t242\n1964\tNeverM\t77\n1964\tSepar.\t2\n1964\tDivorc.\t107\n1964\tMabsent\t6\n1964\tMarried\t256\n1964\tWidowed\t5\n1965\tNeverM\t50\n1965\tSepar.\t10\n1965\tDivorc.\t67\n1965\tMarried\t330\n1966\tNeverM\t114\n1966\tSepar.\t16\n1966\tDivorc.\t67\n1966\tMarried\t317\n1967\tNeverM\t114\n1967\tSepar.\t14\n1967\tDivorc.\t112\n1967\tMarried\t275\n1967\tWidowed\t16\n1968\tMar-AF\t8\n1968\tNeverM\t156\n1968\tSepar.\t4\n1968\tDivorc.\t72\n1968\tMarried\t331\n1969\tNeverM\t103\n1969\tSepar.\t16\n1969\tDivorc.\t74\n1969\tMabsent\t18\n1969\tMarried\t252\n1970\tNeverM\t84\n1970\tSepar.\t3\n1970\tDivorc.\t55\n1970\tMabsent\t12\n1970\tMarried\t230\n1970\tWidowed\t9\n1971\tNeverM\t78\n1971\tSepar.\t16\n1971\tDivorc.\t95\n1971\tMabsent\t6\n1971\tMarried\t206\n1972\tNeverM\t92\n1972\tSepar.\t11\n1972\tDivorc.\t28\n1972\tMabsent\t3\n1972\tMarried\t184\n1973\tNeverM\t116\n1973\tSepar.\t11\n1973\tDivorc.\t27\n1973\tMabsent\t17\n1973\tMarried\t152\n1974\tNeverM\t135\n1974\tSepar.\t6\n1974\tDivorc.\t39\n1974\tMabsent\t8\n1974\tMarried\t164\n1975\tNeverM\t180\n1975\tSepar.\t11\n1975\tDivorc.\t25\n1975\tMabsent\t3\n1975\tMarried\t202\n1976\tNeverM\t212\n1976\tSepar.\t3\n1976\tDivorc.\t46\n1976\tMarried\t85\n1977\tNeverM\t180\n1977\tSepar.\t2\n1977\tDivorc.\t8\n1977\tMarried\t137\n1978\tNeverM\t256\n1978\tSepar.\t15\n1978\tDivorc.\t24\n1978\tMarried\t71\n1979\tNeverM\t177\n1979\tSepar.\t17\n1979\tDivorc.\t10\n1979\tMarried\t54\n1980\tNeverM\t226\n1980\tSepar.\t6\n1980\tDivorc.\t12\n1980\tMarried\t29\n1981\tNeverM\t213\n1981\tDivorc.\t2\n1981\tMabsent\t13\n1981\tMarried\t15\n1982\tNeverM\t156\n1982\tSepar.\t4\n1982\tDivorc.\t4\n1982\tMarried\t6\n1983\tNeverM\t198\n1983\tMarried\t16\n1984\tNeverM\t137\n1985\tNeverM\t73\n1986\tNeverM\t39\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_-1975581458","id":"20200915-183825_2053809901","dateCreated":"2020-03-24T19:05:50+0000","dateStarted":"2020-09-15T21:44:52+0000","dateFinished":"2020-09-15T21:44:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Build the Anomaly Detection Model","text":"%md\nAfter dropping any previous model, specify settings: the outlier rate is the proportion of the rows that should be detected as outliers. Then, create the oml.svm python object indicating this is to be an anomaly detection model with the specified settings. Finally, invoke ***fit*** on the data with 'None' specified for the target. We explicitly provide a model name for future reference and the case id to uniquely identify rows. ","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:52+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"markdown","editOnDblClick":true,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"After dropping any previous model, specify settings: the outlier rate is the proportion of the rows that should be detected as outliers. Then, create the oml.svm python object indicating this is to be an anomaly detection model with the specified settings. Finally, invoke fit on the data with 'None' specified for the target. We explicitly provide a model name for future reference and the case id to uniquely identify rows.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_1723394639","id":"20200915-183825_1513436773","dateCreated":"2020-03-30T14:54:57+0000","dateStarted":"2020-09-15T21:44:52+0000","dateFinished":"2020-09-15T21:44:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"text":"%python\n\ntry:\n oml.drop(model=\"ANOMALY_DETECTION_MODEL1\")\nexcept:\n print(\"Model does not exist\")\n\nodm_settings = {'svms_outlier_rate' : 0.01}\n\nsvm_mod = oml.svm(\"anomaly_detection\", **odm_settings)\nsvm_mod.fit(CUST_DF, None, model_name = 'ANOMALY_DETECTION_MODEL1', case_id = 'CUST_ID')","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:53+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Model does not exist\n\nModel Name: ANOMALY_DETECTION_MODEL1\n\nModel Owner: OMLUSER\n\nAlgorithm Name: Support Vector Machine\n\nMining Function: ANOMALY_DETECTION\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_SUPPORT_VECTOR_MACHINES\n1 ODMS_DETAILS ODMS_ENABLE\n2 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n3 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n4 PREP_AUTO ON\n5 SVMS_CONV_TOLERANCE .0001\n6 SVMS_KERNEL_FUNCTION SVMS_LINEAR\n7 SVMS_OUTLIER_RATE 0.01\n\nComputed Settings: \n setting name setting value\n0 SVMS_COMPLEXITY_FACTOR 10\n1 SVMS_NUM_ITERATIONS 30\n2 SVMS_SOLVER SVMS_SOLVER_IPM\n\nGlobal Statistics: \n CONVERGED ITERATIONS NUM_ROWS\n0 YES 16.0 4500.0\n\nAttributes: \nAFFINITY_CARD\nCUST_CREDIT_LIMIT\nCUST_GENDER\nCUST_INCOME_LEVEL\nCUST_MARITAL_STATUS\nCUST_YEAR_OF_BIRTH\nEDUCATION\nHOUSEHOLD_SIZE\nOCCUPATION\nYRS_RESIDENCE\nY_BOX_GAMES\n\nPartition: NO\n\nCOEFFICIENTS: \n\n TARGET_VALUE ATTRIBUTE_NAME ATTRIBUTE_SUBNAME ATTRIBUTE_VALUE COEF\n0 1 AFFINITY_CARD None None 0.5645\n1 1 CUST_CREDIT_LIMIT None None 0.9606\n2 1 CUST_GENDER None F 1.0127\n3 1 CUST_GENDER None M 1.1695\n4 1 CUST_INCOME_LEVEL None A: Below 30,000 0.0732\n5 1 CUST_INCOME_LEVEL None B: 30,000 - 49,999 0.1590\n6 1 CUST_INCOME_LEVEL None C: 50,000 - 69,999 0.1067\n7 1 CUST_INCOME_LEVEL None D: 70,000 - 89,999 0.0902\n8 1 CUST_INCOME_LEVEL None E: 90,000 - 109,999 0.1872\n9 1 CUST_INCOME_LEVEL None F: 110,000 - 129,999 0.2213\n10 1 CUST_INCOME_LEVEL None G: 130,000 - 149,999 0.1805\n11 1 CUST_INCOME_LEVEL None H: 150,000 - 169,999 0.2187\n12 1 CUST_INCOME_LEVEL None I: 170,000 - 189,999 0.2434\n13 1 CUST_INCOME_LEVEL None J: 190,000 - 249,999 0.3005\n14 1 CUST_INCOME_LEVEL None K: 250,000 - 299,999 0.1674\n15 1 CUST_INCOME_LEVEL None L: 300,000 and above 0.2339\n16 1 CUST_MARITAL_STATUS None Divorc. 0.4683\n17 1 CUST_MARITAL_STATUS None Mabsent 0.0607\n18 1 CUST_MARITAL_STATUS None Mar-AF 0.0025\n19 1 CUST_MARITAL_STATUS None Married 0.7758\n20 1 CUST_MARITAL_STATUS None NeverM 0.6492\n21 1 CUST_MARITAL_STATUS None Separ. 0.1099\n22 1 CUST_MARITAL_STATUS None Widowed 0.1158\n23 1 CUST_YEAR_OF_BIRTH None None 1.5147\n24 1 EDUCATION None 10th 0.0861\n25 1 EDUCATION None 11th 0.0894\n26 1 EDUCATION None 12th 0.0394\n27 1 EDUCATION None 1st-4th 0.0125\n28 1 EDUCATION None 5th-6th 0.0293\n29 1 EDUCATION None 7th-8th 0.0679\n30 1 EDUCATION None 9th 0.0598\n31 1 EDUCATION None < Bach. 0.4503\n32 1 EDUCATION None Assoc-A 0.1148\n33 1 EDUCATION None Assoc-V 0.1374\n34 1 EDUCATION None Bach. 0.3364\n35 1 EDUCATION None HS-grad 0.5553\n36 1 EDUCATION None Masters 0.1206\n37 1 EDUCATION None PhD 0.0291\n38 1 EDUCATION None Presch. 0.0025\n39 1 EDUCATION None Profsc 0.0515\n40 1 HOUSEHOLD_SIZE None 1 0.3351\n41 1 HOUSEHOLD_SIZE None 2 0.5915\n42 1 HOUSEHOLD_SIZE None 3 0.6005\n43 1 HOUSEHOLD_SIZE None 4-5 0.1649\n44 1 HOUSEHOLD_SIZE None 6-8 0.0999\n45 1 HOUSEHOLD_SIZE None 9+ 0.3904\n46 1 OCCUPATION None ? 0.1502\n47 1 OCCUPATION None Armed-F 0.0016\n48 1 OCCUPATION None Cleric. 0.2684\n49 1 OCCUPATION None Crafts 0.2226\n50 1 OCCUPATION None Exec. 0.2402\n51 1 OCCUPATION None Farming 0.0761\n52 1 OCCUPATION None Handler 0.0896\n53 1 OCCUPATION None House-s 0.0152\n54 1 OCCUPATION None Machine 0.1431\n55 1 OCCUPATION None Other 0.2398\n56 1 OCCUPATION None Prof. 0.2754\n57 1 OCCUPATION None Protec. 0.0420\n58 1 OCCUPATION None Sales 0.2278\n59 1 OCCUPATION None TechSup 0.1035\n60 1 OCCUPATION None Transp. 0.0866\n61 1 YRS_RESIDENCE None None 0.8047\n62 1 Y_BOX_GAMES None None 0.6311\n63 1 None None None -1.0000\n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_1823149354","id":"20200915-183825_1738915184","dateCreated":"2020-03-24T19:10:45+0000","dateStarted":"2020-09-15T21:44:53+0000","dateFinished":"2020-09-15T21:44:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"Invoke predict() to score data for anomalies","text":"%python\n\nRES_DF = svm_mod.predict(CUST_DF, supplemental_cols = CUST_DF, proba = True)","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:55+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string","PREDICTION":"string","PROBABILITY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105314_2045069799","id":"20200915-183825_462094773","dateCreated":"2020-03-24T19:46:17+0000","dateStarted":"2020-09-15T21:44:56+0000","dateFinished":"2020-09-15T21:44:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Anomalies are indicated by PREDICTION = 0, display a few rows flagged as anomalies","text":"%python\n\nz.show(RES_DF[RES_DF['PREDICTION']==0][[\"PREDICTION\",\"PROBABILITY\"] + CUST_DF.columns].head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:56+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{"columns":[{"name":"CUST_ID","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PREDICTION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PROBABILITY","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_GENDER","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_MARITAL_STATUS","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_YEAR_OF_BIRTH","visible":true,"width":196,"sort":{},"filters":[{}],"pinned":""},{"name":"CUST_INCOME_LEVEL","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_CREDIT_LIMIT","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"EDUCATION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"AFFINITY_CARD","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"HOUSEHOLD_SIZE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"OCCUPATION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"Y_BOX_GAMES","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string","PREDICTION":"string","PROBABILITY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PREDICTION\tPROBABILITY\tCUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n0\t0.6142721320960557\t103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n0\t0.5714219157764225\t102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n0\t0.626763628112712\t100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n0\t0.632541496163044\t100170\tF\tWidowed\t1943\tF: 110,000 - 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\"CUST_MARITAL_STATUS\"])\nz.show(DF.sort_values('Bin(PROBABILITY)'))","user":"OMLUSER","dateUpdated":"2020-09-15T21:45:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"Bin(PROBABILITY)":"string","CUST_MARITAL_STATUS":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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0.592]\tMarried\t3\n(0.546, 0.592]\tNeverM\t1\n(0.546, 0.592]\tSepar.\t18\n(0.546, 0.592]\tWidowed\t23\n(0.592, 0.637]\tDivorc.\t21\n(0.592, 0.637]\tMabsent\t8\n(0.592, 0.637]\tMarried\t3\n(0.592, 0.637]\tNeverM\t3\n(0.592, 0.637]\tSepar.\t13\n(0.592, 0.637]\tWidowed\t24\n(0.637, 0.683]\tDivorc.\t27\n(0.637, 0.683]\tMabsent\t11\n(0.637, 0.683]\tMarried\t13\n(0.637, 0.683]\tNeverM\t10\n(0.637, 0.683]\tSepar.\t11\n(0.637, 0.683]\tWidowed\t21\n(0.683, 0.728]\tDivorc.\t48\n(0.683, 0.728]\tMabsent\t12\n(0.683, 0.728]\tMarried\t30\n(0.683, 0.728]\tNeverM\t23\n(0.683, 0.728]\tSepar.\t13\n(0.683, 0.728]\tWidowed\t17\n(0.728, 0.774]\tDivorc.\t81\n(0.728, 0.774]\tMabsent\t10\n(0.728, 0.774]\tMarried\t66\n(0.728, 0.774]\tNeverM\t65\n(0.728, 0.774]\tSepar.\t34\n(0.728, 0.774]\tWidowed\t24\n(0.774, 0.819]\tDivorc.\t148\n(0.774, 0.819]\tMabsent\t13\n(0.774, 0.819]\tMarried\t168\n(0.774, 0.819]\tNeverM\t151\n(0.774, 0.819]\tSepar.\t21\n(0.774, 0.819]\tWidowed\t6\n(0.819, 0.865]\tDivorc.\t185\n(0.819, 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RES_DF.columns].sort_values('PROBABILITY').head(5).pull())","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:57+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PREDICTION":"string","PROBABILITY":"string","CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string","Bin(PROBABILITY)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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XMLTABLE('/Details'\n PASSING OUT.PREDICTION_DETAILS\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]') \n OUTPRED","user":"OMLUSER","dateUpdated":"2020-09-15T21:44:59+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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actualValue=\"1500\" weight=\".115\" \n103441\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".222\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".117\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".076\" \n104286\t\"EDUCATION\" actualValue=\"9th\" weight=\".165\" \t\"HOUSEHOLD_SIZE\" actualValue=\"4-5\" weight=\".146\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".112\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195105314_1681422723","id":"20200915-183825_910400661","dateCreated":"2020-04-07T18:19:00+0000","dateStarted":"2020-09-15T21:44:59+0000","dateFinished":"2020-09-15T21:45:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:164"},{"text":"%md\n# End of 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\ No newline at end of file
diff --git a/machine-learning/notebooks/python/OML4Py_Association_Rules.json b/machine-learning/notebooks/python/OML4Py_Association_Rules.json
new file mode 100644
index 00000000..e6b2d198
--- /dev/null
+++ b/machine-learning/notebooks/python/OML4Py_Association_Rules.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n\n## Association Rules (Market Basket Analysis)\n\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build association rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:00+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Association Rules (Market Basket Analysis)
\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build association rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_-2123700257","id":"20200915-183825_446952339","dateCreated":"2020-06-09T21:48:34+0000","dateStarted":"2020-09-15T21:58:00+0000","dateFinished":"2020-09-15T21:58:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md \n\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/associationrules-5663172.jpg\")
\n
","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:03+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":151.738,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_-248957249","id":"20200915-183825_251882328","dateCreated":"2020-06-03T20:15:57+0000","dateStarted":"2020-09-15T21:58:03+0000","dateFinished":"2020-09-15T21:58:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOML folder on Oracle Github \nOML web page: \nOML Association Rules: ","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Association Rules: http://www.oracle.com/goto/ml-association-rules
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_1977493560","id":"20200915-183825_1615932606","dateCreated":"2020-06-09T21:47:10+0000","dateStarted":"2020-09-15T21:58:04+0000","dateFinished":"2020-09-15T21:58:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\n\nimport oml\nimport pandas as pd\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:04+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","editorHide":false,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105561_353552113","id":"20200915-183825_1613417770","dateCreated":"2020-04-13T21:30:34+0000","dateStarted":"2020-09-15T21:58:04+0000","dateFinished":"2020-09-15T21:58:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Get SALES proxy object and display a few rows of data","text":"%python\n\nSALES_DF = oml.sync(query = \"SELECT CUST_ID, PROD_ID, QUANTITY_SOLD, AMOUNT_SOLD, CHANNEL_ID, PROMO_ID FROM SH.SALES\")\nz.show(SALES_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:13+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROD_ID":"string","QUANTITY_SOLD":"string","AMOUNT_SOLD":"string","CHANNEL_ID":"string","PROMO_ID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROD_ID\tQUANTITY_SOLD\tAMOUNT_SOLD\tCHANNEL_ID\tPROMO_ID\n524.0\t13.0\t1.0\t1205.99\t2.0\t999.0\n2128.0\t13.0\t1.0\t1250.25\t2.0\t999.0\n3212.0\t13.0\t1.0\t1250.25\t2.0\t999.0\n3375.0\t13.0\t1.0\t1250.25\t2.0\t999.0\n5204.0\t13.0\t1.0\t1250.25\t2.0\t999.0\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_-173891714","id":"20200915-183825_1703974359","dateCreated":"2020-04-10T19:44:42+0000","dateStarted":"2020-09-15T21:58:13+0000","dateFinished":"2020-09-15T21:58:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Get PRODUCTS proxy object and display a few rows of data","text":"%python\n\nPRODUCT_DF = oml.sync(query = 'SELECT PROD_ID, PROD_NAME, PROD_CATEGORY FROM SH.PRODUCTS')\nz.show(PRODUCT_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:14+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PROD_ID":"string","PROD_NAME":"string","PROD_CATEGORY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PROD_ID\tPROD_NAME\tPROD_CATEGORY\n13\t5MP Telephoto Digital Camera\tPhoto\n14\t17\" LCD w/built-in HDTV Tuner\tPeripherals and Accessories\n15\tEnvoy 256MB - 40GB\tHardware\n16\tY Box\tElectronics\n17\tMini DV Camcorder with 3.5\" Swivel LCD\tPhoto\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_1440573782","id":"20200915-183825_1910340502","dateCreated":"2020-04-10T19:43:08+0000","dateStarted":"2020-09-15T21:58:14+0000","dateFinished":"2020-09-15T21:58:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Merge SALES with PRODUCT, creating an OML Dataframe","text":"%python\n\nSALES_TRANS_CUST = PRODUCT_DF.merge(SALES_DF[(SALES_DF['CUST_ID'] >= 100001) & (SALES_DF['CUST_ID'] <= 104500)], \n how = \"inner\", on = 'PROD_ID', suffixes = [\"\", \"\"])\nSALES_TRANS_CUST = SALES_TRANS_CUST[['CUST_ID', 'PROD_NAME', 'PROD_CATEGORY']].drop_duplicates()","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:15+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105561_1074360560","id":"20200915-183825_402689487","dateCreated":"2020-04-10T19:48:29+0000","dateStarted":"2020-09-15T21:58:15+0000","dateFinished":"2020-09-15T21:58:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Materialize the OML Dataframe","text":"%python\n\ntry:\n oml.drop(table = 'SALES_TRANS_CUST_TABLE')\nexcept:\n print(\"No such table\")\nSALES_TRANS_CUST.materialize(table = 'SALES_TRANS_CUST_TABLE')\n\nSALES_TRANS_CUST = oml.sync(table = 'SALES_TRANS_CUST_TABLE')","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:15+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"No such table\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_346551646","id":"20200915-183825_779440248","dateCreated":"2020-03-31T14:34:40+0000","dateStarted":"2020-09-15T21:58:16+0000","dateFinished":"2020-09-15T21:58:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display PRODUCTS with product name and associated data for each PROD_ID","text":"%python\n\nz.show(SALES_TRANS_CUST.head())","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:17+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROD_NAME":"string","PROD_CATEGORY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROD_NAME\tPROD_CATEGORY\n100001\tY Box\tElectronics\n100100\tMouse Pad\tSoftware/Other\n100200\tMouse Pad\tSoftware/Other\n100400\tMouse Pad\tSoftware/Other\n100600\tMouse Pad\tSoftware/Other\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_583543272","id":"20200915-183825_1328170572","dateCreated":"2020-03-30T15:14:18+0000","dateStarted":"2020-09-15T21:58:17+0000","dateFinished":"2020-09-15T21:58:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Check the distribution of PROD_CATEGORY ","text":"%python\n\nz.show(SALES_TRANS_CUST.crosstab(\"PROD_CATEGORY\"))","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:28+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":324,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PROD_CATEGORY":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"PROD_CATEGORY","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"count","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PROD_CATEGORY\tcount\nElectronics\t294\nHardware\t4\nPeripherals and Accessories\t1568\nSoftware/Other\t938\n"}]},"interrupted":false,"jobName":"paragraph_1600195105561_1333207261","id":"20200915-183825_1429308916","dateCreated":"2020-03-30T15:15:40+0000","dateStarted":"2020-09-15T21:58:18+0000","dateFinished":"2020-09-15T21:58:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Define settings and create Association Rules model","text":"%python\n\nsetting = {'asso_min_support':'0.04', 'asso_min_confidence':'0.1', \n 'ASSO_MIN_CONFIDENCE':'0.1', \n 'ASSO_MAX_RULE_LENGTH': '2', \n 'ODMS_ITEM_ID_COLUMN_NAME':'PROD_NAME'}\n\nar_mod = oml.ar(**setting)\nar_mod = ar_mod.fit(SALES_TRANS_CUST, case_id = 'CUST_ID')","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:18+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105561_1566084476","id":"20200915-183825_1229132904","dateCreated":"2020-03-31T14:32:58+0000","dateStarted":"2020-09-15T21:58:19+0000","dateFinished":"2020-09-15T21:58:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Display model details","text":"%python\n\nar_mod","user":"OMLUSER","dateUpdated":"2020-09-15T21:58:20+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/python","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nAlgorithm Name: Association Rules\n\nMining Function: ASSOCIATION\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_APRIORI_ASSOCIATION_RULES\n1 ASSO_MAX_RULE_LENGTH 2\n2 ASSO_MIN_CONFIDENCE 0.1\n3 ASSO_MIN_REV_CONFIDENCE 0\n4 ASSO_MIN_SUPPORT 0.04\n5 ASSO_MIN_SUPPORT_INT 1\n6 ODMS_DETAILS ODMS_ENABLE\n7 ODMS_ITEM_ID_COLUMN_NAME PROD_NAME\n8 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n9 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n10 PREP_AUTO ON\n\nGlobal Statistics: \n ITEMSET_COUNT MAX_SUPPORT NUM_ROWS RULE_COUNT TRANSACTION_COUNT\n0 63.0 0.32234 940.0 104.0 940.0\n\nAttributes: \nPROD_NAME\n\nPartition: NO\n\nItemsets: \n\n ITEMSET_ID SUPPORT NUMBER_OF_ITEMS ITEM_NAME ITEM_VALUE\n0 1 0.310638 1 18\" Flat Panel Graphics Monitor None\n1 2 0.292553 1 CD-RW, High Speed Pack of 5 None\n2 3 0.311702 1 Extension Cable None\n3 4 0.305319 1 External 8X CD-ROM None\n4 5 0.188298 1 Keyboard Wrist Rest None\n5 6 0.217021 1 Model SM26273 Black Ink Cartridge None\n6 7 0.322340 1 Mouse Pad None\n7 8 0.195745 1 Multimedia speakers- 3\" cones None\n8 9 0.194681 1 O/S Documentation Set - English None\n9 10 0.318085 1 SIMM- 16MB PCMCIAII card None\n10 11 0.321277 1 Standard Mouse None\n11 12 0.091489 2 18\" Flat Panel Graphics Monitor None\n12 12 0.091489 2 CD-RW, High Speed Pack of 5 None\n13 13 0.090426 2 18\" Flat Panel Graphics Monitor None\n14 13 0.090426 2 Extension Cable None\n15 14 0.082979 2 18\" Flat Panel Graphics Monitor None\n16 14 0.082979 2 External 8X CD-ROM None\n17 15 0.059574 2 18\" Flat Panel Graphics Monitor None\n18 15 0.059574 2 Keyboard Wrist Rest None\n19 16 0.067021 2 18\" Flat Panel Graphics Monitor None\n20 16 0.067021 2 Model SM26273 Black Ink Cartridge None\n21 17 0.094681 2 18\" Flat Panel Graphics Monitor None\n22 17 0.094681 2 Mouse Pad None\n23 18 0.055319 2 18\" Flat Panel Graphics Monitor None\n24 18 0.055319 2 Multimedia speakers- 3\" cones None\n25 19 0.051064 2 18\" Flat Panel Graphics Monitor None\n26 19 0.051064 2 O/S Documentation Set - English None\n27 20 0.154255 2 18\" Flat Panel Graphics Monitor None\n28 20 0.154255 2 SIMM- 16MB PCMCIAII card None\n29 21 0.095745 2 18\" Flat Panel Graphics Monitor None\n30 21 0.095745 2 Standard Mouse None\n31 22 0.068085 2 CD-RW, High Speed Pack of 5 None\n32 22 0.068085 2 Extension Cable None\n33 23 0.153191 2 CD-RW, High Speed Pack of 5 None\n34 23 0.153191 2 External 8X CD-ROM None\n35 24 0.058511 2 CD-RW, High Speed Pack of 5 None\n36 24 0.058511 2 Keyboard Wrist Rest None\n37 25 0.057447 2 CD-RW, High Speed Pack of 5 None\n38 25 0.057447 2 Model SM26273 Black Ink Cartridge None\n39 26 0.075532 2 CD-RW, High Speed Pack of 5 None\n40 26 0.075532 2 Mouse Pad None\n41 27 0.055319 2 CD-RW, High Speed Pack of 5 None\n42 27 0.055319 2 Multimedia speakers- 3\" cones None\n43 28 0.056383 2 CD-RW, High Speed Pack of 5 None\n44 28 0.056383 2 O/S Documentation Set - English None\n45 29 0.087234 2 CD-RW, High Speed Pack of 5 None\n46 29 0.087234 2 SIMM- 16MB PCMCIAII card None\n47 30 0.070213 2 CD-RW, High Speed Pack of 5 None\n48 30 0.070213 2 Standard Mouse None\n49 31 0.081915 2 Extension Cable None\n50 31 0.081915 2 External 8X CD-ROM None\n51 32 0.047872 2 Extension Cable None\n52 32 0.047872 2 Keyboard Wrist Rest None\n53 33 0.063830 2 Extension Cable None\n54 33 0.063830 2 Model SM26273 Black Ink Cartridge None\n55 34 0.177660 2 Extension Cable None\n56 34 0.177660 2 Mouse Pad None\n57 35 0.047872 2 Extension Cable None\n58 35 0.047872 2 Multimedia speakers- 3\" cones None\n59 36 0.050000 2 Extension Cable None\n60 36 0.050000 2 O/S Documentation Set - English None\n61 37 0.094681 2 Extension Cable None\n62 37 0.094681 2 SIMM- 16MB PCMCIAII card None\n63 38 0.180851 2 Extension Cable None\n64 38 0.180851 2 Standard Mouse None\n65 39 0.048936 2 External 8X CD-ROM None\n66 39 0.048936 2 Keyboard Wrist Rest None\n67 40 0.057447 2 External 8X CD-ROM None\n68 40 0.057447 2 Model SM26273 Black Ink Cartridge None\n69 41 0.103191 2 External 8X CD-ROM None\n70 41 0.103191 2 Mouse Pad None\n71 42 0.063830 2 External 8X CD-ROM None\n72 42 0.063830 2 Multimedia speakers- 3\" cones None\n73 43 0.052128 2 External 8X CD-ROM None\n74 43 0.052128 2 O/S Documentation Set - English None\n75 44 0.089362 2 External 8X CD-ROM None\n76 44 0.089362 2 SIMM- 16MB PCMCIAII card None\n77 45 0.075532 2 External 8X CD-ROM None\n78 45 0.075532 2 Standard Mouse None\n79 46 0.046809 2 Keyboard Wrist Rest None\n80 46 0.046809 2 Mouse Pad None\n81 47 0.065957 2 Keyboard Wrist Rest None\n82 47 0.065957 2 SIMM- 16MB PCMCIAII card None\n83 48 0.054255 2 Keyboard Wrist Rest None\n84 48 0.054255 2 Standard Mouse None\n85 49 0.077660 2 Model SM26273 Black Ink Cartridge None\n86 49 0.077660 2 Mouse Pad None\n87 50 0.044681 2 Model SM26273 Black Ink Cartridge None\n88 50 0.044681 2 Multimedia speakers- 3\" cones None\n89 51 0.043617 2 Model SM26273 Black Ink Cartridge None\n90 51 0.043617 2 O/S Documentation Set - English None\n91 52 0.064894 2 Model SM26273 Black Ink Cartridge None\n92 52 0.064894 2 SIMM- 16MB PCMCIAII card None\n93 53 0.079787 2 Model SM26273 Black Ink Cartridge None\n94 53 0.079787 2 Standard Mouse None\n95 54 0.067021 2 Mouse Pad None\n96 54 0.067021 2 Multimedia speakers- 3\" cones None\n97 55 0.058511 2 Mouse Pad None\n98 55 0.058511 2 O/S Documentation Set - English None\n99 56 0.091489 2 Mouse Pad None\n100 56 0.091489 2 SIMM- 16MB PCMCIAII card None\n101 57 0.184043 2 Mouse Pad None\n102 57 0.184043 2 Standard Mouse None\n103 58 0.044681 2 Multimedia speakers- 3\" cones None\n104 58 0.044681 2 O/S Documentation Set - English None\n105 59 0.059574 2 Multimedia speakers- 3\" cones None\n106 59 0.059574 2 SIMM- 16MB PCMCIAII card None\n107 60 0.057447 2 Multimedia speakers- 3\" cones None\n108 60 0.057447 2 Standard Mouse None\n109 61 0.062766 2 O/S Documentation Set - English None\n110 61 0.062766 2 SIMM- 16MB PCMCIAII card None\n111 62 0.055319 2 O/S Documentation Set - English None\n112 62 0.055319 2 Standard Mouse None\n113 63 0.091489 2 SIMM- 16MB PCMCIAII card None\n114 63 0.091489 2 Standard Mouse None\n\nRules: \n\n RULE_ID NUMBER_OF_ITEMS LHS_NAME LHS_VALUE RHS_NAME RHS_VALUE SUPPORT CONFIDENCE REVCONFIDENCE LIFT\n0 1 2 CD-RW, High Speed Pack of 5 None 18\" Flat Panel Graphics Monitor None 0.091489 0.312727 0.294521 1.006725\n1 2 2 18\" Flat Panel Graphics Monitor None CD-RW, High Speed Pack of 5 None 0.091489 0.294521 0.312727 1.006725\n2 3 2 Extension Cable None 18\" Flat Panel Graphics Monitor None 0.090426 0.290102 0.291096 0.933891\n3 4 2 18\" Flat Panel Graphics Monitor None Extension Cable None 0.090426 0.291096 0.290102 0.933891\n4 5 2 External 8X CD-ROM None 18\" Flat Panel Graphics Monitor None 0.082979 0.271777 0.267123 0.874899\n5 6 2 18\" Flat Panel Graphics Monitor None External 8X CD-ROM None 0.082979 0.267123 0.271777 0.874899\n6 7 2 Keyboard Wrist Rest None 18\" Flat Panel Graphics Monitor None 0.059574 0.316384 0.191781 1.018497\n7 8 2 18\" Flat Panel Graphics Monitor None Keyboard Wrist Rest None 0.059574 0.191781 0.316384 1.018497\n8 9 2 Model SM26273 Black Ink Cartridge None 18\" Flat Panel Graphics Monitor None 0.067021 0.308824 0.215753 0.994158\n9 10 2 18\" Flat Panel Graphics Monitor None Model SM26273 Black Ink Cartridge None 0.067021 0.215753 0.308824 0.994158\n10 11 2 Mouse Pad None 18\" Flat Panel Graphics Monitor None 0.094681 0.293729 0.304795 0.945567\n11 12 2 18\" Flat Panel Graphics Monitor None Mouse Pad None 0.094681 0.304795 0.293729 0.945567\n12 13 2 Multimedia speakers- 3\" cones None 18\" Flat Panel Graphics Monitor None 0.055319 0.282609 0.178082 0.909768\n13 14 2 18\" Flat Panel Graphics Monitor None Multimedia speakers- 3\" cones None 0.055319 0.178082 0.282609 0.909768\n14 15 2 O/S Documentation Set - English None 18\" Flat Panel Graphics Monitor None 0.051064 0.262295 0.164384 0.844375\n15 16 2 18\" Flat Panel Graphics Monitor None O/S Documentation Set - English None 0.051064 0.164384 0.262295 0.844375\n16 17 2 SIMM- 16MB PCMCIAII card None 18\" Flat Panel Graphics Monitor None 0.154255 0.484950 0.496575 1.561140\n17 18 2 18\" Flat Panel Graphics Monitor None SIMM- 16MB PCMCIAII card None 0.154255 0.496575 0.484950 1.561140\n18 19 2 Standard Mouse None 18\" Flat Panel Graphics Monitor None 0.095745 0.298013 0.308219 0.959358\n19 20 2 18\" Flat Panel Graphics Monitor None Standard Mouse None 0.095745 0.308219 0.298013 0.959358\n20 21 2 Extension Cable None CD-RW, High Speed Pack of 5 None 0.068085 0.218430 0.232727 0.746634\n21 22 2 CD-RW, High Speed Pack of 5 None Extension Cable None 0.068085 0.232727 0.218430 0.746634\n22 23 2 External 8X CD-ROM None CD-RW, High Speed Pack of 5 None 0.153191 0.501742 0.523636 1.715046\n23 24 2 CD-RW, High Speed Pack of 5 None External 8X CD-ROM None 0.153191 0.523636 0.501742 1.715046\n24 25 2 Keyboard Wrist Rest None CD-RW, High Speed Pack of 5 None 0.058511 0.310734 0.200000 1.062147\n25 26 2 CD-RW, High Speed Pack of 5 None Keyboard Wrist Rest None 0.058511 0.200000 0.310734 1.062147\n26 27 2 Model SM26273 Black Ink Cartridge None CD-RW, High Speed Pack of 5 None 0.057447 0.264706 0.196364 0.904813\n27 28 2 CD-RW, High Speed Pack of 5 None Model SM26273 Black Ink Cartridge None 0.057447 0.196364 0.264706 0.904813\n28 29 2 Mouse Pad None CD-RW, High Speed Pack of 5 None 0.075532 0.234323 0.258182 0.800960\n29 30 2 CD-RW, High Speed Pack of 5 None Mouse Pad None 0.075532 0.258182 0.234323 0.800960\n30 31 2 Multimedia speakers- 3\" cones None CD-RW, High Speed Pack of 5 None 0.055319 0.282609 0.189091 0.966008\n31 32 2 CD-RW, High Speed Pack of 5 None Multimedia speakers- 3\" cones None 0.055319 0.189091 0.282609 0.966008\n32 33 2 O/S Documentation Set - English None CD-RW, High Speed Pack of 5 None 0.056383 0.289617 0.192727 0.989965\n33 34 2 CD-RW, High Speed Pack of 5 None O/S Documentation Set - English None 0.056383 0.192727 0.289617 0.989965\n34 35 2 SIMM- 16MB PCMCIAII card None CD-RW, High Speed Pack of 5 None 0.087234 0.274247 0.298182 0.937428\n35 36 2 CD-RW, High Speed Pack of 5 None SIMM- 16MB PCMCIAII card None 0.087234 0.298182 0.274247 0.937428\n36 37 2 Standard Mouse None CD-RW, High Speed Pack of 5 None 0.070213 0.218543 0.240000 0.747020\n37 38 2 CD-RW, High Speed Pack of 5 None Standard Mouse None 0.070213 0.240000 0.218543 0.747020\n38 39 2 External 8X CD-ROM None Extension Cable None 0.081915 0.268293 0.262799 0.860734\n39 40 2 Extension Cable None External 8X CD-ROM None 0.081915 0.262799 0.268293 0.860734\n40 41 2 Keyboard Wrist Rest None Extension Cable None 0.047872 0.254237 0.153584 0.815642\n41 42 2 Extension Cable None Keyboard Wrist Rest None 0.047872 0.153584 0.254237 0.815642\n42 43 2 Model SM26273 Black Ink Cartridge None Extension Cable None 0.063830 0.294118 0.204778 0.943586\n43 44 2 Extension Cable None Model SM26273 Black Ink Cartridge None 0.063830 0.204778 0.294118 0.943586\n44 45 2 Mouse Pad None Extension Cable None 0.177660 0.551155 0.569966 1.768211\n45 46 2 Extension Cable None Mouse Pad None 0.177660 0.569966 0.551155 1.768211\n46 47 2 Multimedia speakers- 3\" cones None Extension Cable None 0.047872 0.244565 0.153584 0.784612\n47 48 2 Extension Cable None Multimedia speakers- 3\" cones None 0.047872 0.153584 0.244565 0.784612\n48 49 2 O/S Documentation Set - English None Extension Cable None 0.050000 0.256831 0.160410 0.823962\n49 50 2 Extension Cable None O/S Documentation Set - English None 0.050000 0.160410 0.256831 0.823962\n50 51 2 SIMM- 16MB PCMCIAII card None Extension Cable None 0.094681 0.297659 0.303754 0.954947\n51 52 2 Extension Cable None SIMM- 16MB PCMCIAII card None 0.094681 0.303754 0.297659 0.954947\n52 53 2 Standard Mouse None Extension Cable None 0.180851 0.562914 0.580205 1.805935\n53 54 2 Extension Cable None Standard Mouse None 0.180851 0.580205 0.562914 1.805935\n54 55 2 Keyboard Wrist Rest None External 8X CD-ROM None 0.048936 0.259887 0.160279 0.851198\n55 56 2 External 8X CD-ROM None Keyboard Wrist Rest None 0.048936 0.160279 0.259887 0.851198\n56 57 2 Model SM26273 Black Ink Cartridge None External 8X CD-ROM None 0.057447 0.264706 0.188153 0.866981\n57 58 2 External 8X CD-ROM None Model SM26273 Black Ink Cartridge None 0.057447 0.188153 0.264706 0.866981\n58 59 2 Mouse Pad None External 8X CD-ROM None 0.103191 0.320132 0.337979 1.048516\n59 60 2 External 8X CD-ROM None Mouse Pad None 0.103191 0.337979 0.320132 1.048516\n60 61 2 Multimedia speakers- 3\" cones None External 8X CD-ROM None 0.063830 0.326087 0.209059 1.068020\n61 62 2 External 8X CD-ROM None Multimedia speakers- 3\" cones None 0.063830 0.209059 0.326087 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+{"paragraphs":[{"text":"%md\n## Identify key factors\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we compute Attribute Importance, which uses the Minimum Description Length algorithm, on the SH schema data. All functionality executes inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:01:37+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":131.8,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Identify key factors
\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we compute Attribute Importance, which uses the Minimum Description Length algorithm, on the SH schema data. All functionality executes inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105056_-1649025415","id":"20200915-183825_116924088","dateCreated":"2020-03-30T15:04:19+0000","dateStarted":"2020-09-15T22:01:37+0000","dateFinished":"2020-09-15T22:01:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/attributeimportance-5663163.jpg\")
\n
","user":"OMLUSER","dateUpdated":"2020-09-15T22:01:39+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":150.663,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105056_-2051756749","id":"20200915-183825_1055699314","dateCreated":"2020-06-03T20:21:17+0000","dateStarted":"2020-09-15T22:01:40+0000","dateFinished":"2020-09-15T22:01:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOML folder on Oracle Github \nOML web page: \nOML Attribute Importance: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:01:40+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Attribute Importance: http://www.oracle.com/goto/ml-feature-selection
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105056_-1387432225","id":"20200915-183825_1206441002","dateCreated":"2020-06-10T17:11:29+0000","dateStarted":"2020-09-15T22:01:40+0000","dateFinished":"2020-09-15T22:01:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\r\n\r\nimport pandas as pd\r\nimport oml\r\n\r\npd.set_option('display.max_rows', 500)\r\npd.set_option('display.max_columns', 500)\r\npd.set_option('display.width', 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+{"paragraphs":[{"text":"%md\n## Predicting Target Customers using Classification\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program. \n\nHigh Affinity Card responders (target value = 1) are defined as those customers who when given a loyalty or affinity card hyper-respond, i.e., they increase purchases more than the Affinity Card program's offered discount. \n\nThis notebook builds and applies a classification decision tree model using the Sales History (SH) schema data. All processing occurs inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:05:58+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":151.8,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Predicting Target Customers using Classification
\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program.
\nHigh Affinity Card responders (target value = 1) are defined as those customers who when given a loyalty or affinity card hyper-respond, i.e., they increase purchases more than the Affinity Card program's offered discount.
\nThis notebook builds and applies a classification decision tree model using the Sales History (SH) schema data. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105818_-151142261","id":"20200915-183825_1660203129","dateCreated":"2020-04-01T21:13:15+0000","dateStarted":"2020-09-15T22:05:59+0000","dateFinished":"2020-09-15T22:06:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/classification-5663162.jpg\")
\n
","user":"OMLUSER","dateUpdated":"2020-09-15T22:07:56+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":105.488,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105818_-1566398734","id":"20200915-183825_571105436","dateCreated":"2020-06-03T20:22:22+0000","dateStarted":"2020-09-15T22:06:01+0000","dateFinished":"2020-09-15T22:06:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information ...","text":"%md\nOracle ADW Documentation \nOML folder on Oracle Github \nOML web page: \nOML Classification: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Classification: http://www.oracle.com/goto/ml-classification
\n"}]},"interrupted":false,"jobName":"paragraph_1600195105818_-176054321","id":"20200915-183825_379820233","dateCreated":"2020-06-10T17:18:55+0000","dateStarted":"2020-09-15T22:06:02+0000","dateFinished":"2020-09-15T22:06:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\n\nimport pandas as pd\nimport oml\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105818_-1867922674","id":"20200915-183825_387854675","dateCreated":"2020-04-08T14:50:22+0000","dateStarted":"2020-09-15T22:06:02+0000","dateFinished":"2020-09-15T22:06:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display a few rows from SUPPLEMENTARY_DEMOGRAPHICS","text":"%python\n\nDEMO = oml.sync(table = \"SUPPLEMENTARY_DEMOGRAPHICS\", schema = \"SH\")\nz.show(DEMO.head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:12+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","EDUCATION":"string","OCCUPATION":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","AFFINITY_CARD":"string","BULK_PACK_DISKETTES":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","BOOKKEEPING_APPLICATION":"string","PRINTER_SUPPLIES":"string","Y_BOX_GAMES":"string","OS_DOC_SET_KANJI":"string","COMMENTS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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number of rows and columns","text":"%python\n\nDEMO.shape","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:12+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":304,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"AFFINITY_CARD":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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HOUSEHOLD_SIZE grouped by AFFINITY_CARD responders","text":"%python\n\nz.show(DEMO.crosstab(['HOUSEHOLD_SIZE', 'AFFINITY_CARD']))","user":"OMLUSER","dateUpdated":"2020-09-15T22:07:56+0000","config":{"colWidth":7,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"HOUSEHOLD_SIZE":"string","AFFINITY_CARD":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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an OML Data Frame with desired columns for analysis","text":"%python\n\nDEMO_DF = DEMO[[\"CUST_ID\", 'AFFINITY_CARD', \"BOOKKEEPING_APPLICATION\", \"BULK_PACK_DISKETTES\", \"EDUCATION\", \n \"FLAT_PANEL_MONITOR\", \"HOME_THEATER_PACKAGE\", \"HOUSEHOLD_SIZE\", \"OCCUPATION\", \"OS_DOC_SET_KANJI\", \n \"PRINTER_SUPPLIES\", \"YRS_RESIDENCE\", 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train and test data (60/40 split) ","text":"%python\n\nTRAIN, TEST = DEMO_DF.split(ratio = (0.6,0.4))\nTRAIN_X = TRAIN.drop('AFFINITY_CARD')\nTRAIN_Y = TRAIN['AFFINITY_CARD']\nTEST_X = TEST\nTEST_Y = TEST['AFFINITY_CARD']\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:16+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105818_-920376243","id":"20200915-183825_464985399","dateCreated":"2020-04-01T21:28:11+0000","dateStarted":"2020-09-15T22:06:17+0000","dateFinished":"2020-09-15T22:06:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Build a Decision Tree Model","text":"%python\n\nsetting = dict()\ndt_mod = oml.dt(**setting)\ndt_mod.fit(TRAIN_X, TRAIN_Y, case_id = 'CUST_ID')","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:18+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nAlgorithm Name: Decision Tree\n\nMining Function: CLASSIFICATION\n\nTarget: AFFINITY_CARD\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_DECISION_TREE\n1 CLAS_MAX_SUP_BINS 32\n2 CLAS_WEIGHTS_BALANCED OFF\n3 ODMS_DETAILS ODMS_ENABLE\n4 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n5 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n6 PREP_AUTO ON\n7 TREE_IMPURITY_METRIC TREE_IMPURITY_GINI\n8 TREE_TERM_MAX_DEPTH 7\n9 TREE_TERM_MINPCT_NODE .05\n10 TREE_TERM_MINPCT_SPLIT .1\n11 TREE_TERM_MINREC_NODE 10\n12 TREE_TERM_MINREC_SPLIT 20\n\nGlobal Statistics: \n NUM_ROWS\n0 2725\n\nAttributes: \nEDUCATION\nHOME_THEATER_PACKAGE\nHOUSEHOLD_SIZE\nOCCUPATION\nYRS_RESIDENCE\nY_BOX_GAMES\n\nPartition: NO\n\nDistributions: \n\n NODE_ID TARGET_VALUE TARGET_COUNT\n0 0 0 2088\n1 0 1 637\n2 1 0 676\n3 1 1 549\n4 2 0 108\n5 2 1 252\n6 3 0 568\n7 3 1 297\n8 4 0 1412\n9 4 1 88\n10 5 0 50\n11 5 1 23\n12 6 0 1362\n13 6 1 65\n14 7 0 89\n15 7 1 244\n16 8 0 19\n17 8 1 8\n18 9 0 188\n19 9 1 38\n20 10 0 380\n21 10 1 259\n22 11 0 20\n23 12 0 30\n24 12 1 23\n25 13 0 826\n26 13 1 6\n27 14 0 536\n28 14 1 59\n\nNodes: \n\n parent node.id row.count prediction split surrogate full.splits\n0 0.0 1 1225 0 (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) YRS_RESIDENCE >(3.5E+000)) (HOUSEHOLD_SIZE IN (\"3\" \"4-5\"))\n1 0.0 4 1500 0 (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) YRS_RESIDENCE <=(3.5E+000)) (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\"))\n2 1.0 2 360 1 (OCCUPATION IN (\"Armed-F\" \"Exec.\" \"Prof.\")) (EDUCATION IN( (\"Bach.\" \"Masters\" \"PhD\" \"Profs... (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n3 1.0 3 865 0 (OCCUPATION IN (\"?\" \"Cleric.\" \"Crafts\" \"Farmin... (EDUCATION IN( (\"10th\" \"11th\" \"12th\" \"1st-4th\"... (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n4 2.0 7 333 1 (Y_BOX_GAMES <=(5.0E-001)) YRS_RESIDENCE >(2.5E+000)) (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n5 2.0 8 27 0 (Y_BOX_GAMES >(5.0E-001)) YRS_RESIDENCE <=(2.5E+000)) (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n6 3.0 9 226 0 (YRS_RESIDENCE <=(3.5E+000)) HOME_THEATER_PACKAGE <=(5.0E-001)) (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n7 3.0 10 639 0 (YRS_RESIDENCE >(3.5E+000)) HOME_THEATER_PACKAGE >(5.0E-001)) (HOUSEHOLD_SIZE IN (\"3\" \"4-5\")) AND (OCCUPATIO...\n8 4.0 5 73 0 (EDUCATION IN (\"Masters\" \"PhD\" \"Profsc\")) None (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n9 4.0 6 1427 0 (EDUCATION IN (\"10th\" \"11th\" \"12th\" \"1st-4th\" ... None (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n10 5.0 11 20 0 (HOME_THEATER_PACKAGE <=(5.0E-001)) Y_BOX_GAMES >(5.0E-001)) (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n11 5.0 12 53 0 (HOME_THEATER_PACKAGE >(5.0E-001)) Y_BOX_GAMES <=(5.0E-001)) (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n12 6.0 13 832 0 (YRS_RESIDENCE <=(3.5E+000)) HOME_THEATER_PACKAGE <=(5.0E-001)) (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n13 6.0 14 595 0 (YRS_RESIDENCE >(3.5E+000)) HOME_THEATER_PACKAGE >(5.0E-001)) (HOUSEHOLD_SIZE IN (\"1\" \"2\" \"6-8\" \"9+\")) AND (...\n14 NaN 0 2725 0 None None (\n"}]},"interrupted":false,"jobName":"paragraph_1600195105818_-1861450033","id":"20200915-183825_937413574","dateCreated":"2020-04-01T21:32:31+0000","dateStarted":"2020-09-15T22:06:18+0000","dateFinished":"2020-09-15T22:06:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"Show model accuracy","text":"%python\n\ndt_mod.score(TEST_X, TEST_Y)","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:22+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"0.824789\n"}]},"interrupted":false,"jobName":"paragraph_1600195105818_-1093215745","id":"20200915-183825_1839120640","dateCreated":"2020-04-07T18:44:52+0000","dateStarted":"2020-09-15T22:06:22+0000","dateFinished":"2020-09-15T22:06:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Score test data adding supplemental columns","text":"%python\n\nRES_DF = dt_mod.predict(TEST_X, \n supplemental_cols = TEST_X,\n proba = True)","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:23+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195105818_-2021365469","id":"20200915-183825_1476835099","dateCreated":"2020-04-01T21:32:47+0000","dateStarted":"2020-09-15T22:06:23+0000","dateFinished":"2020-09-15T22:06:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Display confusion matrix, lift chart and ROC curve ","text":"%python\n\ndef pred_plot(pred, target, name, settings): \n import numpy as np\n import matplotlib\n import matplotlib.pyplot as plt\n\n from sklearn.metrics import roc_curve\n from sklearn.metrics import roc_auc_score,auc\n\n pred_new = pred.concat({\"PROBABILITY_OF_1\":(pred[\"PREDICTION\"]*\n pred[\"PROBABILITY\"]+\n (-pred[\"PREDICTION\"]+1)*\n (-pred[\"PROBABILITY\"]+1))})\n conf_matrix = pred_new.crosstab(target,'PREDICTION',pivot=True)\n \n # Statistics\n cf_local = conf_matrix.pull()\n TN = cf_local.iloc[0,1]\n TP = cf_local.iloc[1,2]\n FP = cf_local.iloc[0,2]\n FN = cf_local.iloc[1,1]\n TPR = TP/(TP+FN)\n FPR = FP/(FP+TN)\n TNR = TN/(TN+FP)\n FNR = FN/(FN+TP)\n Precision = TP/(TP+FP)\n Accuracy = (TP+TN)/(TP+TN+FP+FN)\n NPV = TN/(FN+TN)\n DetectionRate = TN/(FN+TN)\n BalancedAccuracy = (TPR+TNR)/2\n # Estimated AUC via Triangle (not very precise) could be\n # AUC = (1/2)*FPR*TPR + (1/2)*(1-FPR)*(1-TPR) + (1-FPR)*TPR\n \n # Compute real AUC using roc_curve by loading the\n # data locally\n pred_local = pred_new.sample(frac = 0.1).pull()\n fpr, tpr, _ = roc_curve(pred_local[[target]],pred_local[['PROBABILITY_OF_1']])\n AUC = auc(fpr, tpr)\n \n F1Score = 2*Precision*TPR/(Precision+TPR)\n MathewsCorrCoef = ((TP*TN)-(FP*FN))/((TP+FP)*(TP+FN)*(TN+FP)*(TN+FN))**0.5\n # Store all statistics to export\n statistics = {'Algorithm' : name,\n 'Algorithm_setting' : settings,\n 'TN' : TN,\n 'TP' : TP,\n 'FP' : FP,\n 'FN' : FN,\n 'TPR' : TPR,\n 'FPR' : FPR,\n 'TNR' : TNR,\n 'FNR' : FNR,\n 'Precision' : Precision,\n 'Accuracy' : Accuracy,\n 'NPV' : NPV,\n 'DetectionRate' : DetectionRate,\n 'BalancedAccuracy' : BalancedAccuracy,\n 'AUC' : AUC,\n 'F1Score' : F1Score,\n 'MathewsCorrCoef' : MathewsCorrCoef\n }\n # Nice round stats for printing to screen\n TOTAL = TP+TN+FP+FN\n TN_P = (TN/TOTAL*100).round(2)\n FP_P = (FP/TOTAL*100).round(2)\n FN_P = (FN/TOTAL*100).round(2)\n TP_P = (TP/TOTAL*100).round(2)\n # Print the output nicely on Zeppelin native Table\n print(\"%table CONFUSION MATRIX\\tPREDICTED 0\\tPREDICTED 1\\nACTUAL 0\\t\"+\n \"True Negative: \"+str(TN)+\" (\"+str(TN_P)+\"%)\\t\"+\n \"False Positive: \"+str(FP)+\" (\"+str(FP_P)+\"%)\\nACTUAL 1\\t\"+\n \"False Negative: \"+str(FN)+\" (\"+str(FN_P)+\"%)\\t\"+\n \"True Positive: \"+str(TP)+\" (\"+str(TP_P)+\"%)\\n\"+\n \"Accuracy: \"+str((Accuracy*100).round(4))+\"%\"\n )\n \n TARGET = target\n # Multiple Charts for Evaluation\n fig, axes = plt.subplots(nrows=1, ncols=4,figsize=[20,5])\n ax1, ax2, ax3, ax4 = axes.flatten()\n fig.suptitle('Model Evaluation for '+str(name), size=16)\n\n # Statistics\n ax1.axis('off')\n \n\n # Function to return rounded numbers if the string is float, return\n # integers otherwise and return characters if not a number\n def round_if_float(content):\n try:\n val = float(content)\n except ValueError:\n return(content)\n else:\n if val.is_integer():\n return(int(content))\n else:\n return(round(float(content),4))\n\n for num, name in enumerate(statistics):\n ax1.text(0.01, \n (-num*0.06+0.94),\n \"{0}: {1}\".format(name,round_if_float(statistics[name])),\n ha='left', \n va='bottom', \n fontsize=12)\n \n # Produce Lift Chart\n ax2.set_title('Lift Chart')\n data = pred_local.sort_values(by='PROBABILITY_OF_1', ascending=False)\n data['row_id'] = range(0,0+len(data))\n data['decile'] = ( data['row_id'] / (len(data)/10) ).astype(int)\n lift = data.groupby('decile')[TARGET].agg(['count','sum'])\n lift.columns = ['count', TARGET]\n lift['decile'] = range(1,11)\n\n data_ideal = pred_local.sort_values(by=TARGET, ascending=False)\n data_ideal['row_id'] = range(0,0+len(data))\n data_ideal['decile'] = ( data_ideal['row_id'] / (len(data_ideal)/10) ).astype(int)\n lift_ideal = data_ideal.groupby('decile')[TARGET].agg(['count','sum'])\n lift_ideal.columns = ['count', 'IDEAL']\n lift['IDEAL']=lift_ideal['IDEAL']\n\n ax2.bar(lift['decile'],lift['IDEAL']/lift['count'],color='darkorange', label='Ideal')\n ax2.bar(lift['decile'],lift[TARGET]/lift['count'],color='blue', alpha=0.6, label='Model')\n ax2.axhline((lift[TARGET]/lift['count']).mean(), color='grey', linestyle='--', label='Avg TARGET')\n ax2.set_ylim(0,1.15)\n ax2.set_xlabel('Decile', size=13)\n ax2.set_ylabel('Percent of Actual Targets', size=13)\n # Print labels.\n for dec in lift['decile']:\n ax2.text(dec, lift[lift.decile==dec][TARGET]/lift[lift.decile==dec]['count'] + 0.05, \n (\"%.0f\" % int(round((lift[(lift.decile==dec)][TARGET]/lift[lift.decile==dec]['count'])*100,0)))+\"%\",\n ha='center', va='bottom')\n\n ax2.legend(loc=\"upper right\")\n\n # Limits and Labels for RAW Data\n\n\n # Produce Gains Chart\n ax3.set_title('Distributions of Predictions')\n ax3.hist(pred_local[pred_local[TARGET]==1].PROBABILITY_OF_1, density=True, bins=25, alpha=.5, color='blue', label='1')\n ax3.hist(pred_local[pred_local[TARGET]==0].PROBABILITY_OF_1, density=True, bins=25, alpha=.5, color='darkorange', label='0')\n ax3.axvline(.5, color='grey', linestyle='--', label='Cutoff at 0.5')\n ax3.set_xlim([0,1])\n ax3.set_xlabel('Probability of 1', size=13)\n ax3.set_ylabel('Density', size=13)\n ax3.legend(loc=\"upper right\")\n\n # ROC curve Chart\n ax4.set_title('ROC Curve')\n ax4.plot(fpr, tpr, color='blue', lw=2, label='ROC curve')\n ax4.plot([0, 1], [0, 1], lw=2, linestyle='--', color='grey', label='Random guess')\n ax4.annotate('AUC ='+str((AUC).round(4)), xy=(0.5, 0.4), xycoords='axes fraction', size=13)\n ax4.annotate('Precision ='+str((Precision).round(4)), xy=(0.45, 0.35), xycoords='axes fraction', size=13)\n ax4.annotate('Recall ='+str((TPR).round(4)), xy=(0.4, 0.3), xycoords='axes fraction', size=13)\n ax4.annotate('Accuracy ='+str((Accuracy).round(4)), xy=(0.35, 0.25), xycoords='axes fraction', size=13)\n ax4.annotate('F1 Score ='+str((F1Score).round(4)), xy=(0.3, 0.2), xycoords='axes fraction', size=13)\n ax4.set_xlim([-0.02, 1.02])\n ax4.set_ylim([0.0, 1.02])\n ax4.set_xlabel('False Positive Rate', size=13)\n ax4.set_ylabel('True Positive Rate', size=13)\n ax4.legend(loc=\"lower right\")\npred_plot(RES_DF[['AFFINITY_CARD','PREDICTION','PROBABILITY']], 'AFFINITY_CARD', 'Decision Tree', settings = '')","user":"OMLUSER","dateUpdated":"2020-09-15T22:06:23+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":174,"optionOpen":false,"setting":{"table":{"tableGridState":{"columns":[{"name":"CONFUSION MATRIX","visible":true,"width":"*","sort":{"priority":0,"direction":"asc"},"filters":[{}],"pinned":""},{"name":"PREDICTED 0","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PREDICTED 1","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"CONFUSION MATRIX":"string","PREDICTED 0":"string","PREDICTED 1":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","editorHide":true,"title":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CONFUSION MATRIX\tPREDICTED 0\tPREDICTED 1\nACTUAL 0\tTrue Negative: 1288 (72.56%)\tFalse Positive: 52 (2.93%)\nACTUAL 1\tFalse Negative: 259 (14.59%)\tTrue Positive: 176 (9.92%)\nAccuracy: 82.4789%\n"},{"type":"HTML","data":"
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RES_DF.columns])","user":"OMLUSER","dateUpdated":"2020-09-15T22:07:51+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PREDICTION":"string","PROBABILITY":"string","CUST_ID":"string","AFFINITY_CARD":"string","BOOKKEEPING_APPLICATION":"string","BULK_PACK_DISKETTES":"string","EDUCATION":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","OS_DOC_SET_KANJI":"string","PRINTER_SUPPLIES":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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diff --git a/machine-learning/notebooks/python/OML4Py_Clustering.json b/machine-learning/notebooks/python/OML4Py_Clustering.json
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@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n## Identifying Customer Segments using Clustering\nOracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning execute inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:35+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":151.8,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Identifying Customer Segments using Clustering
\n
Oracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning execute inside Oracle Autonomous Database.
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_1491005955","id":"20200915-183826_1140329871","dateCreated":"2020-03-30T14:58:23+0000","dateStarted":"2020-09-15T22:10:35+0000","dateFinished":"2020-09-15T22:10:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n![tiny arrow](http://www.oracle.com/technetwork/database/options/advanced-analytics/clustering-5663171.jpg \"tiny arrow\")","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:38+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":162,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
![\"tiny](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/clustering-5663171.jpg\" "\\"tiny")
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_755149475","id":"20200915-183826_1518414416","dateCreated":"2020-06-03T20:23:47+0000","dateStarted":"2020-09-15T22:10:38+0000","dateFinished":"2020-09-15T22:10:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation
\nOML folder on Oracle Github \nOML web page: \nOML Clustering: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:38+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Clustering: http://www.oracle.com/goto/ml-clustering
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_2110392713","id":"20200915-183826_1172583681","dateCreated":"2020-06-09T21:23:21+0000","dateStarted":"2020-09-15T22:10:38+0000","dateFinished":"2020-09-15T22:10:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\r\n\r\nimport pandas as pd\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport oml\r\n\r\npd.set_option('display.max_rows', 500)\r\npd.set_option('display.max_columns', 500)\r\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:38+0000","config":{"colWidth":5,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106333_-878345877","id":"20200915-183826_199112130","dateCreated":"2020-04-10T20:05:15+0000","dateStarted":"2020-09-15T22:10:39+0000","dateFinished":"2020-09-15T22:10:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Prepare data by merging CUSTOMERS with SUPPLEMENTARY_DEMOGRAPHICS","text":"%python\n\nCUSTOMERS = oml.sync(query = \"\"\"SELECT CUST_ID, CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, \n CUST_INCOME_LEVEL, CUST_CREDIT_LIMIT \n FROM SH.CUSTOMERS\"\"\")\nDEMO_DF = oml.sync(query = \"\"\"SELECT CUST_ID, EDUCATION, AFFINITY_CARD, \n HOUSEHOLD_SIZE, OCCUPATION, YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS\"\"\")\nCUST_DF = CUSTOMERS.merge(DEMO_DF, how = \"inner\", on = 'CUST_ID',suffixes = [\"\",\"\"])","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:48+0000","config":{"colWidth":7,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106333_689552041","id":"20200915-183826_147440963","dateCreated":"2020-03-25T14:37:10+0000","dateStarted":"2020-09-15T22:10:48+0000","dateFinished":"2020-09-15T22:10:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display the first 5 rows of CUST_DF 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columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_2100331292","id":"20200915-183826_1531559328","dateCreated":"2020-03-25T15:09:55+0000","dateStarted":"2020-09-15T22:10:49+0000","dateFinished":"2020-09-15T22:10:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Build k-Means clustering model with 3 clusters","text":"%python\n\ntry:\n oml.drop(model=\"CUST_CLUSTER_MODEL\")\nexcept:\n print(\"Model does not exist\")\n\nsetting = {'kmns_iterations': 20, 'KMNS_RANDOM_SEED': 7}\nkm_mod = oml.km(n_clusters = 3, **setting).fit(CUST_DF, model_name = \"CUST_CLUSTER_MODEL\", case_id = 'CUST_ID')","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:49+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Model does not exist\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_1952546668","id":"20200915-183826_1063372789","dateCreated":"2020-03-25T15:05:47+0000","dateStarted":"2020-09-15T22:10:49+0000","dateFinished":"2020-09-15T22:10:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Display k-Means model details","text":"%python\n\nkm_mod","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:53+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nModel Name: CUST_CLUSTER_MODEL\n\nModel Owner: OMLUSER\n\nAlgorithm Name: K-Means\n\nMining Function: CLUSTERING\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_KMEANS\n1 CLUS_NUM_CLUSTERS 3\n2 KMNS_CONV_TOLERANCE .001\n3 KMNS_DETAILS KMNS_DETAILS_HIERARCHY\n4 KMNS_DISTANCE KMNS_EUCLIDEAN\n5 KMNS_ITERATIONS 20\n6 KMNS_MIN_PCT_ATTR_SUPPORT .1\n7 KMNS_NUM_BINS 11\n8 KMNS_RANDOM_SEED 7\n9 KMNS_SPLIT_CRITERION KMNS_VARIANCE\n10 ODMS_DETAILS ODMS_ENABLE\n11 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n12 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n13 PREP_AUTO ON\n\nGlobal Statistics: \n CONVERGED NUM_ROWS\n0 YES 4500.0\n\nAttributes: \nAFFINITY_CARD\nCUST_CREDIT_LIMIT\nCUST_GENDER\nCUST_INCOME_LEVEL\nCUST_MARITAL_STATUS\nCUST_YEAR_OF_BIRTH\nEDUCATION\nHOUSEHOLD_SIZE\nOCCUPATION\nYRS_RESIDENCE\nY_BOX_GAMES\n\nPartition: NO\n\nClusters: \n\n CLUSTER_ID ROW_CNT PARENT_CLUSTER_ID TREE_LEVEL DISPERSION\n0 1 4500 NaN 1 6.276772\n1 2 3123 1.0 2 6.586027\n2 3 1377 1.0 2 5.575388\n3 4 2085 2.0 3 6.938511\n4 5 1038 2.0 3 5.878003\n\nTaxonomy: \n\n PARENT_CLUSTER_ID CHILD_CLUSTER_ID\n0 1 2.0\n1 1 3.0\n2 2 4.0\n3 2 5.0\n4 3 NaN\n5 4 NaN\n6 5 NaN\n\nLeaf Cluster Counts: \n\n CLUSTER_ID CNT\n0 3 1377\n1 4 2085\n2 5 1038\n\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_1921029895","id":"20200915-183826_1164678654","dateCreated":"2020-03-26T18:35:54+0000","dateStarted":"2020-09-15T22:10:53+0000","dateFinished":"2020-09-15T22:10:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display model settings","text":"%python\n\nkm_mod.settings","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:54+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"{'kmns_iterations': 20, 'kmns_random_seed': 7, 'clus_num_clusters': 3}\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_-1940930923","id":"20200915-183826_63873997","dateCreated":"2020-03-27T15:13:27+0000","dateStarted":"2020-09-15T22:10:54+0000","dateFinished":"2020-09-15T22:10:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display cluster details for all clusters in the hierarchy with row counts and dispersion","text":"%python\n\nz.show(km_mod.clusters)","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:54+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ROW_CNT":"string","PARENT_CLUSTER_ID":"string","TREE_LEVEL":"string","DISPERSION":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tROW_CNT\tPARENT_CLUSTER_ID\tTREE_LEVEL\tDISPERSION\n1.0\t4500.0\tnan\t1.0\t6.276771678127229\n2.0\t3123.0\t1.0\t2.0\t6.5860271201254195\n3.0\t1377.0\t1.0\t2.0\t5.575388420784927\n4.0\t2085.0\t2.0\t3.0\t6.9385112173435965\n5.0\t1038.0\t2.0\t3.0\t5.878002705192953\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_557580091","id":"20200915-183826_360495785","dateCreated":"2020-03-26T18:34:42+0000","dateStarted":"2020-09-15T22:10:55+0000","dateFinished":"2020-09-15T22:10:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Apply clustering model to assign rows to clusters","text":"%python\n\npred = km_mod.predict(CUST_DF, supplemental_cols = CUST_DF)","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:55+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106333_-830561965","id":"20200915-183826_605260188","dateCreated":"2020-06-08T02:09:38+0000","dateStarted":"2020-09-15T22:10:55+0000","dateFinished":"2020-09-15T22:10:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Use matplotlib scatterplot to view cluster results","text":"%python\n\npred_df = pred[['CUST_ID', 'CLUSTER_ID', 'CUST_YEAR_OF_BIRTH', 'YRS_RESIDENCE', 'CUST_CREDIT_LIMIT']].pull()\n\nfig = plt.figure()\nax=fig.add_axes([0.1,0.1,0.8,0.8])\n\nids = pred_df['CLUSTER_ID']\nclusters = ids.drop_duplicates().values\nhandles = []\nlabs = []\ncolors = ['r', 'b', 'g']\nfor i, c in enumerate(clusters):\n xc = pred_df[pred_df['CLUSTER_ID'] == c]['YRS_RESIDENCE'].values\n yc = pred_df[pred_df['CLUSTER_ID'] == c]['CUST_YEAR_OF_BIRTH'].values\n \n h = ax.scatter(xc, yc, color= colors[i])\n handles.append(h)\n labs.append('CLUSTER' + str(c))\nax.legend(handles, labs)\nplt.title('K-Means Clustering')\n\nplt.grid(True)\n\nplt.xlabel('YRS_RESIDENCE')\nplt.ylabel('CUST_YEAR_OF_BIRTH')\nplt.show()\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:56+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_971900051","id":"20200915-183826_1036921989","dateCreated":"2020-04-13T21:08:28+0000","dateStarted":"2020-09-15T22:10:56+0000","dateFinished":"2020-09-15T22:10:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"text":"%md\n\n### Compare clusters\n\nCompare the feature distribution for year of birth in clusters 4 and 5. Cluster 4 tends to have middle aged individuals, while cluster 5 has more senior individuals. ","user":"OMLUSER","dateUpdated":"2020-09-15T22:10:59+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Compare clusters
\n
Compare the feature distribution for year of birth in clusters 4 and 5. Cluster 4 tends to have middle aged individuals, while cluster 5 has more senior individuals.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_84988673","id":"20200915-183826_1265119290","dateCreated":"2020-03-30T15:00:29+0000","dateStarted":"2020-09-15T22:10:59+0000","dateFinished":"2020-09-15T22:10:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Distribution of the year of birth for cluster 4","text":"%python\n\nfeature = 'CUST_YEAR_OF_BIRTH' \n\nDF = pred[pred['CLUSTER_ID'] == 4].crosstab([feature])\nz.show(DF.sort_values(feature))","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:06+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":275.2,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_YEAR_OF_BIRTH":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CUST_YEAR_OF_BIRTH","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"count","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_YEAR_OF_BIRTH\tcount\n1913\t5\n1921\t1\n1922\t6\n1923\t4\n1924\t2\n1925\t6\n1926\t10\n1927\t3\n1928\t14\n1929\t6\n1930\t4\n1931\t6\n1932\t9\n1933\t8\n1934\t12\n1935\t13\n1936\t12\n1937\t10\n1938\t17\n1939\t22\n1940\t22\n1941\t24\n1942\t16\n1943\t32\n1944\t31\n1945\t32\n1946\t33\n1947\t35\n1948\t34\n1949\t34\n1950\t38\n1951\t25\n1952\t49\n1953\t20\n1954\t61\n1955\t50\n1956\t63\n1957\t71\n1958\t66\n1959\t72\n1960\t50\n1961\t75\n1962\t81\n1963\t70\n1964\t83\n1965\t59\n1966\t86\n1967\t92\n1968\t93\n1969\t95\n1970\t89\n1971\t93\n1972\t78\n1973\t63\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_277175977","id":"20200915-183826_993092108","dateCreated":"2020-03-27T15:22:24+0000","dateStarted":"2020-09-15T22:11:00+0000","dateFinished":"2020-09-15T22:11:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Distribution of the year of birth for cluster 5","text":"%python\n\nDF = pred[pred['CLUSTER_ID'] == 5].crosstab([feature])\nz.show(DF.sort_values(feature))","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:06+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":318.8,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_YEAR_OF_BIRTH":"string","count":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CUST_YEAR_OF_BIRTH","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"count","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_YEAR_OF_BIRTH\tcount\n1924\t4\n1925\t2\n1926\t2\n1929\t1\n1931\t1\n1932\t4\n1933\t2\n1934\t6\n1935\t5\n1936\t10\n1937\t2\n1938\t9\n1939\t3\n1940\t8\n1941\t7\n1942\t12\n1943\t11\n1944\t21\n1945\t17\n1946\t12\n1947\t10\n1948\t18\n1949\t17\n1950\t22\n1951\t26\n1952\t34\n1953\t36\n1954\t32\n1955\t44\n1956\t33\n1957\t48\n1958\t39\n1959\t47\n1960\t50\n1961\t40\n1962\t32\n1963\t32\n1964\t22\n1965\t44\n1966\t32\n1967\t31\n1968\t44\n1969\t40\n1970\t27\n1971\t28\n1972\t12\n1973\t29\n1974\t10\n1975\t13\n1976\t2\n1977\t4\n1978\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_-378169195","id":"20200915-183826_64373663","dateCreated":"2020-03-27T15:31:08+0000","dateStarted":"2020-09-15T22:11:00+0000","dateFinished":"2020-09-15T22:11:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"text":"%md\n\n## Using SQL access prediction details\nOne feature of OML is the ability to use models from SQL as well as Python. While OML4Py v1.0 does not expose prediction details through a Python API, such details are available through the SQL API, which is illustrated here.\n\nWe first create a table from the Python proxy object CUSTOMERS360 so that SQL can reference it. This could just as easily been a database view. \n\nThen, since prediction details are provided as an XML string, we extract the elements to present them as table columns. The 'first attribute' identfies the feature and value that most influences the cluster assignment with corresponding weight. This is followed by the second and third attribute. In this example, we provide three, but additional attributes could be presented as well. ","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Using SQL access prediction details
\n
One feature of OML is the ability to use models from SQL as well as Python. While OML4Py v1.0 does not expose prediction details through a Python API, such details are available through the SQL API, which is illustrated here.
\n
We first create a table from the Python proxy object CUSTOMERS360 so that SQL can reference it. This could just as easily been a database view.
\n
Then, since prediction details are provided as an XML string, we extract the elements to present them as table columns. The 'first attribute' identfies the feature and value that most influences the cluster assignment with corresponding weight. This is followed by the second and third attribute. In this example, we provide three, but additional attributes could be presented as well.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_-24643564","id":"20200915-183826_1328606564","dateCreated":"2020-08-27T00:19:06+0000","dateStarted":"2020-09-15T22:11:01+0000","dateFinished":"2020-09-15T22:11:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"title":"Create table for use in SQL query","text":"%python\n\ntry:\n oml.drop(table = 'CUSTOMERS360')\nexcept:\n print(\"No such table\")\n_ = CUST_DF.materialize(table = 'CUSTOMERS360')","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:01+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"No such table\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_-1239627351","id":"20200915-183826_1171516760","dateCreated":"2020-04-10T20:42:04+0000","dateStarted":"2020-09-15T22:11:02+0000","dateFinished":"2020-09-15T22:11:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"title":"List 3 most relevant attributes for specific customers and likely cluster assignments","text":"%sql\n\nSELECT CUST_ID,\n CLUSTER_ID,\n ROUND(PROB*100,0) PROB_PCT,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE\nFROM (SELECT CUST_ID, S.CLUSTER_ID, PROBABILITY PROB, \n CLUSTER_DETAILS(CUST_CLUSTER_MODEL USING T.*) DETAIL\n FROM (SELECT V.*, CLUSTER_SET(CUST_CLUSTER_MODEL, NULL, 0.2 USING *) PSET\n FROM CUSTOMERS360 V\n WHERE cust_id = ${CUST_ID ='101362','101362'|'102087'| '100456'}) T,\n TABLE(T.PSET) S\n ORDER BY 2 DESC) OUT,\n XMLTABLE('/Details'\n PASSING OUT.DETAIL\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]') OUTPRED","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CLUSTER_ID":"string","PROB_PCT":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/osql","runOnSelectionChange":true,"title":true},"settings":{"params":{"CUST_ID":"'102087'"},"forms":{"CUST_ID":{"type":"Select","options":[{"value":"'101362'","$$hashKey":"object:6961"},{"value":"'102087'","$$hashKey":"object:6962"},{"value":"'100456'","$$hashKey":"object:6963"}],"name":"CUST_ID","defaultValue":"'101362'","hidden":false,"$$hashKey":"object:6952"}}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCLUSTER_ID\tPROB_PCT\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\n102087\t5\t62\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".164\" \t\"YRS_RESIDENCE\" actualValue=\"10\" weight=\".074\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".01\" \n102087\t4\t31\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".164\" \t\"YRS_RESIDENCE\" actualValue=\"10\" weight=\".074\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".01\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_1294284509","id":"20200915-183826_1975699180","dateCreated":"2020-04-07T19:37:12+0000","dateStarted":"2020-09-15T22:11:03+0000","dateFinished":"2020-09-15T22:11:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:164"},{"text":"%md\n\n# End of Script\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:11:06+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106333_1690192709","id":"20200915-183826_1153022320","dateCreated":"2020-04-07T19:37:49+0000","dateStarted":"2020-09-15T22:11:06+0000","dateFinished":"2020-09-15T22:11:06+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:165"}],"name":"OML4Py Clustering","id":"467999","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}
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diff --git a/machine-learning/notebooks/python/OML4Py_Dataset_Creation.json b/machine-learning/notebooks/python/OML4Py_Dataset_Creation.json
new file mode 100644
index 00000000..9781da6d
--- /dev/null
+++ b/machine-learning/notebooks/python/OML4Py_Dataset_Creation.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n# OML4Py Demonstration Dataset Creation Script\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:20:47+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"tableHide":false,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
OML4Py Demonstration Dataset Creation Script
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_-1858473173","id":"20200915-183826_1241328384","dateCreated":"2020-04-08T15:34:45+0000","dateStarted":"2020-09-15T22:20:48+0000","dateFinished":"2020-09-15T22:20:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"title":"Import libraries","text":"%python\n\nimport oml\n\nfrom sklearn import datasets\nimport pandas as pd","user":"OMLUSER","dateUpdated":"2020-09-15T22:20:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106074_-1049156815","id":"20200915-183826_1202103219","dateCreated":"2020-04-08T15:35:17+0000","dateStarted":"2020-09-15T22:20:50+0000","dateFinished":"2020-09-15T22:21:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Load breast cancer data and create table","text":"%python\n\nbc = datasets.load_breast_cancer()\nbc_data = bc.data.astype(float)\nX = pd.DataFrame(bc_data, columns = bc.feature_names)\ny = pd.DataFrame(bc.target, columns = ['TARGET'])\n\ntry:\n oml.drop(table='BREASTCANCER')\nexcept:\n pass\nBREASTCANCER = oml.create(pd.concat([X, y], axis=1), table = 'BREASTCANCER')\nprint(\"Shape:\",BREASTCANCER.shape)","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:00+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Shape: (569, 31)\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_1419238850","id":"20200915-183826_1997402821","dateCreated":"2020-04-08T15:35:08+0000","dateStarted":"2020-09-15T22:21:00+0000","dateFinished":"2020-09-15T22:21:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Load IRIS dataset and create table","text":"%python\n\niris = datasets.load_iris()\nX = pd.DataFrame(iris.data, \n columns = [\"SEPAL_LENGTH\", \"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\"])\ny = pd.DataFrame(list(map(lambda x: {0:'setosa', 1: 'versicolor', 2:'virginica'}[x], iris.target)), \n columns = ['SPECIES'])\n\ntry:\n oml.drop(table='IRIS')\nexcept:\n pass\nIRIS = oml.create(pd.concat([X, y], axis=1), table = 'IRIS')\nprint(\"Shape:\",IRIS.shape)","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Shape: (150, 5)\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_1948174597","id":"20200915-183826_252932885","dateCreated":"2020-04-08T15:54:16+0000","dateStarted":"2020-09-15T22:21:01+0000","dateFinished":"2020-09-15T22:21:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"text":"%md\n\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:21:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106074_-168511407","id":"20200915-183826_798420188","dateCreated":"2020-04-08T15:55:47+0000","dateStarted":"2020-09-15T22:21:02+0000","dateFinished":"2020-09-15T22:21:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"}],"name":"OML4Py Dataset Creation","id":"467997","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
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diff --git a/machine-learning/notebooks/python/OML4Py_Partitioned_Model.json b/machine-learning/notebooks/python/OML4Py_Partitioned_Model.json
new file mode 100644
index 00000000..c94f6ae9
--- /dev/null
+++ b/machine-learning/notebooks/python/OML4Py_Partitioned_Model.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n#OML4Py Partitioned Model\nOracle Machine Learning enables automatically building an ensemble model comprised of multiple sub-models, one for each data partition. Sub-models exist and are used as one model, which results in simplified scoring using the top-level model only. The proper sub-model is chosen by the system based on partition value(s) in the row of data to be scored. Partitioned models achieve potentially better accuracy through multiple targeted models. \n\nIn this notebook, we build an SVM model to predict the number of years a customer resides at their residence but partitioned on customer gender. The model is then used to predict the target, then predict the target with prediction details. \n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:22:48+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
OML4Py Partitioned Model
\n
Oracle Machine Learning enables automatically building an ensemble model comprised of multiple sub-models, one for each data partition. Sub-models exist and are used as one model, which results in simplified scoring using the top-level model only. The proper sub-model is chosen by the system based on partition value(s) in the row of data to be scored. Partitioned models achieve potentially better accuracy through multiple targeted models.
\n
In this notebook, we build an SVM model to predict the number of years a customer resides at their residence but partitioned on customer gender. The model is then used to predict the target, then predict the target with prediction details.
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_106228498","id":"20200915-183826_1437304018","dateCreated":"2020-06-05T19:16:06+0000","dateStarted":"2020-09-15T22:22:49+0000","dateFinished":"2020-09-15T22:22:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"title":"For more information ...","text":"%md\nOracle ADW Documentation
\nOML folder on Oracle Github \nOML web page: \nOML Partitioned Model: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:22:51+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Partitioned Model: https://docs.oracle.com/en/database/oracle/oracle-database/20/dmprg/partitioned-model.html
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-2100798745","id":"20200915-183826_785624137","dateCreated":"2020-06-10T17:55:05+0000","dateStarted":"2020-09-15T22:22:52+0000","dateFinished":"2020-09-15T22:22:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Import libraries and set display options","text":"%python\n\nimport oml\nimport pandas as pd\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:22:52+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106635_-1435211053","id":"20200915-183826_412097546","dateCreated":"2020-06-04T18:31:28+0000","dateStarted":"2020-09-15T22:22:52+0000","dateFinished":"2020-09-15T22:23:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Prepare CUSTOMER_DEMO dataset using data from the SH schema","text":"%python\n\nCUSTOMERS = oml.sync(query = 'SELECT CUST_ID, CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, CUST_CREDIT_LIMIT FROM SH.CUSTOMERS')\nSUPPLEMENTARY_DEMOGRAPHICS = oml.sync(query = 'SELECT CUST_ID, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION, YRS_RESIDENCE, Y_BOX_GAMES FROM SH.SUPPLEMENTARY_DEMOGRAPHICS')\nCUSTOMERS_DEMO = CUSTOMERS.merge(SUPPLEMENTARY_DEMOGRAPHICS, how = \"inner\", on = 'CUST_ID', suffixes = [\"\", \"\"])\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:01+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106635_-1069484670","id":"20200915-183826_913934652","dateCreated":"2020-06-03T20:50:23+0000","dateStarted":"2020-09-15T22:23:01+0000","dateFinished":"2020-09-15T22:23:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display number of rows and columns","text":"%python\n\nCUSTOMERS_DEMO.shape","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:01+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"(4500, 12)\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-1980372701","id":"20200915-183826_1073546805","dateCreated":"2020-06-03T20:54:15+0000","dateStarted":"2020-09-15T22:23:02+0000","dateFinished":"2020-09-15T22:23:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display a few rows of CUSTOMERS_DEMO data","text":"%python\n\nz.show(CUSTOMERS_DEMO.head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-1168245702","id":"20200915-183826_218055783","dateCreated":"2020-06-03T20:53:41+0000","dateStarted":"2020-09-15T22:23:02+0000","dateFinished":"2020-09-15T22:23:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Create data for train and test datasets and drop missing values","text":"%python\n\ndat = CUSTOMERS_DEMO.split(ratio=(0.8, 0.2), seed = 6218945)\n\ndat[0] = dat[0].dropna()\n\ntrain_x = dat[0].drop('YRS_RESIDENCE')\ntrain_y = dat[0]['YRS_RESIDENCE']\ntest_dat = dat[1]","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:03+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106635_-1946270815","id":"20200915-183826_345471422","dateCreated":"2020-06-03T20:55:39+0000","dateStarted":"2020-09-15T22:23:03+0000","dateFinished":"2020-09-15T22:23:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Build Partitioned Model using the SVM algorithm to predict YRS_RESIDENCE, partitioned by CUST_GENDER","text":"%python\n\ntry:\n oml.drop(model = 'SVM_PARTITIONED_REGRESSION_MODEL') \nexcept:\n print(\"No such model\")\n \n\nsetting = {'svms_kernel_function' :'dbms_data_mining.svms_linear',\n 'odms_partition_columns':'CUST_GENDER'}\nsvm_mod = oml.svm(\"regression\", **setting)\n \nsvm_mod.fit(train_x, train_y , model_name = 'SVM_PARTITIONED_REGRESSION_MODEL')","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:03+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"No such model\n\nModel Name: SVM_PARTITIONED_REGRESSION_MODEL\n\nModel Owner: OMLUSER\n\nAlgorithm Name: Support Vector Machine\n\nMining Function: REGRESSION\n\nTarget: YRS_RESIDENCE\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_SUPPORT_VECTOR_MACHINES\n1 ODMS_DETAILS ODMS_ENABLE\n2 ODMS_MAX_PARTITIONS 1000\n3 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n4 ODMS_PARTITION_COLUMNS CUST_GENDER\n5 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n6 PREP_AUTO ON\n7 SVMS_CONV_TOLERANCE .0001\n8 SVMS_EPSILON .1\n9 SVMS_KERNEL_FUNCTION SVMS_LINEAR\n\nComputed Settings: \n partition name setting name setting value\n0 F SVMS_COMPLEXITY_FACTOR 3\n1 F SVMS_NUM_ITERATIONS 30\n2 F SVMS_SOLVER SVMS_SOLVER_IPM\n3 M SVMS_COMPLEXITY_FACTOR 3\n4 M SVMS_NUM_ITERATIONS 30\n5 M SVMS_SOLVER SVMS_SOLVER_IPM\n\nGlobal Statistics: \n partition name CONVERGED ITERATIONS NUM_ROWS\n0 F YES 15 1213\n1 M YES 16 2381\n\nAttributes: \nAFFINITY_CARD\nCUST_CREDIT_LIMIT\nCUST_GENDER\nCUST_ID\nCUST_INCOME_LEVEL\nCUST_MARITAL_STATUS\nCUST_YEAR_OF_BIRTH\nEDUCATION\nHOUSEHOLD_SIZE\nOCCUPATION\nY_BOX_GAMES\n\nPartition: YES\n\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-2095182797","id":"20200915-183826_1859986041","dateCreated":"2020-06-03T21:10:30+0000","dateStarted":"2020-09-15T22:23:04+0000","dateFinished":"2020-09-15T22:23:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Predict on the test set and display prediction result - note the use of the top level model only","text":"%python\n\ny_pred_part = svm_mod.predict(test_dat, test_dat)\n\nz.show(y_pred_part[['PARTITION_NAME', 'PREDICTION'] + y_pred_part.columns].round(4).head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:09+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PARTITION_NAME":"string","PREDICTION":"string","CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PARTITION_NAME\tPREDICTION\tCUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\tPREDICTION\tPARTITION_NAME\nF\t4.3611\t100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\t4.3611\tF\nF\t3.4255\t102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\t3.4255\tF\nM\t3.1581\t103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\t3.1581\tM\nM\t3.6503\t104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\t3.6503\tM\nM\t1.9144\t101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\t1.9144\tM\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-158154746","id":"20200915-183826_960908601","dateCreated":"2020-06-03T21:22:07+0000","dateStarted":"2020-09-15T22:23:09+0000","dateFinished":"2020-09-15T22:23:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Show model global statistics for each partitioned sub-model","text":"%python\nz.show(svm_mod.global_stats)","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:10+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"partition name":"string","CONVERGED":"string","ITERATIONS":"string","NUM_ROWS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"partition name\tCONVERGED\tITERATIONS\tNUM_ROWS\nF\tYES\t15.0\t1213.0\nM\tYES\t16.0\t2381.0\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-1565696697","id":"20200915-183826_1332537866","dateCreated":"2020-06-03T21:22:23+0000","dateStarted":"2020-09-15T22:23:10+0000","dateFinished":"2020-09-15T22:23:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Materialize the test dataset","text":"%python\n\ntry:\n oml.drop(table = 'TEST_DATA')\nexcept:\n print(\"Table not exist\")\n_ = test_dat.materialize(table = 'TEST_DATA')","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:10+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Table not exist\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_486011304","id":"20200915-183826_1620648144","dateCreated":"2020-06-04T18:35:36+0000","dateStarted":"2020-09-15T22:23:10+0000","dateFinished":"2020-09-15T22:23:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Demonstrate using the SQL interface so score data and display prediction details","text":"%sql\n\nSELECT CUST_ID,\n round(PREDICTION_YRS_RES,3) PRED_YRS_RES,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE\nFROM (SELECT CUST_ID,\n PREDICTION(SVM_PARTITIONED_REGRESSION_MODEL USING *) PREDICTION_YRS_RES,\n PREDICTION_DETAILS(SVM_PARTITIONED_REGRESSION_MODEL USING *) PD\n FROM TEST_DATA\n WHERE CUST_ID < 100015\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PD\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]') \n OUTPRED\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:11+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED_YRS_RES":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/osql","runOnSelectionChange":true,"title":true},"settings":{"params":{"CUST_ID":"'101362'"},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPRED_YRS_RES\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\n100007\t4.092\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1963\" weight=\".319\" \t\"CUST_INCOME_LEVEL\" actualValue=\"L: 300,000 and above\" weight=\".128\" \t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".126\" \n100010\t2.978\t\"CUST_CREDIT_LIMIT\" actualValue=\"9000\" weight=\".004\" \t\"CUST_ID\" actualValue=\"100010\" weight=\"-.001\" \t\"CUST_INCOME_LEVEL\" actualValue=\"L: 300,000 and above\" weight=\"-.033\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_1226138389","id":"20200915-183826_1741686864","dateCreated":"2020-06-04T18:21:37+0000","dateStarted":"2020-09-15T22:23:11+0000","dateFinished":"2020-09-15T22:23:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"text":"%md\n# End of Script\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:23:14+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106635_-1560232700","id":"20200915-183826_1827978774","dateCreated":"2020-06-04T18:22:32+0000","dateStarted":"2020-09-15T22:23:14+0000","dateFinished":"2020-09-15T22:23:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"}],"name":"OML4Py Partitioned Model","id":"468001","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/python/OML4Py_REST_API.json b/machine-learning/notebooks/python/OML4Py_REST_API.json
new file mode 100644
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@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n\n# OMP4Py REST API for invoking embedded Python execution\n\nOML4Py contains a REST API to run user-defined Python functions saved in the script repository. The REST API is used when separation between the client and the Database server is beneficial. For example, REST APIs can be called from a web development application, improving the portability of the interface to other types of platforms, increasing project scalability, and allowing components to evolve independently. Use the OML4Py REST API to build, train, deploy, and manage scripts.\n\nTo run a script, it must reside in the OML4Py script repository. An Oracle Machine Learning cloud service account ***username*** and ***password*** must be provided for authentication.\n\n### **REST API Workflow**\n\nIn this workflow, we highlight a few of the features of the REST API:\n\n- authenticating the Database user and obtaining a token\n- loading a database table into the Database\n- saving scripts in the Database Python script repository\n- executing the saved Python scripts from the REST API using both synchronous and asynchronous modes\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:33+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/markdown","fontSize":9,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"OMP4Py REST API for invoking embedded Python execution
\nOML4Py contains a REST API to run user-defined Python functions saved in the script repository. The REST API is used when separation between the client and the Database server is beneficial. For example, REST APIs can be called from a web development application, improving the portability of the interface to other types of platforms, increasing project scalability, and allowing components to evolve independently. Use the OML4Py REST API to build, train, deploy, and manage scripts.
\nTo run a script, it must reside in the OML4Py script repository. An Oracle Machine Learning cloud service account username and password must be provided for authentication.
\nREST API Workflow
\nIn this workflow, we highlight a few of the features of the REST API:
\n\n- authenticating the Database user and obtaining a token
\n- loading a database table into the Database
\n- saving scripts in the Database Python script repository
\n- executing the saved Python scripts from the REST API using both synchronous and asynchronous modes
\n
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1730211853","id":"20200915-183826_873176663","dateCreated":"2020-06-10T19:04:55+0000","dateStarted":"2020-09-15T22:24:33+0000","dateFinished":"2020-09-15T22:24:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n\n### **REST API Authentication**\n\nTo authenticate and obtain a token, use ***cURL*** with the ***-d*** option to pass the credentials for your Oracle Machine Learning account against the Oracle Machine Learning user management cloud service REST endpoint */oauth2/v1/token*. \n\n $ curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"grant_type\":\"password\", \"username\":\"''\", \n \"password\":\"' '\"}' \"/omlusers/tenants//databases//api/oauth2/v1/token\"\n \nwhere \n\n* _-X POST_ specifies to use a POST request when communicating with the HTTP server\n* _--header_ defines the headers required for the request (application/json)\n* _-d _ sends the username and password authentication credentials as data in a POST request to the HTTP server\n* _Content-Type_ and _Accept_ define the response format (JSON)\n* _yourusername_ is the user name of a Oracle Machine Learning user with the default OML_DEVELOPER role\n* _yourpassword_ is the password for the user name\n* _oml-cloud-service-url_ is the REST server portion of the Oracle Machine Learning user management cloud service instance\n* _tenant_name_ is the name of the tenancy\n* _database_name_ is the target database\n\nFor example, Oracle Machine Learning user ***OML_USER*** with password ***OML_PASSWD*** and cloud service url ***https://123.4.56.78*** on ***port 8080***, tenant ***MYTENANT*** and Database ***MYADW*** authenticates and obtain a REST token using the following approach:\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:35+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{"oml_server":""},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"REST API Authentication
\nTo authenticate and obtain a token, use cURL with the -d option to pass the credentials for your Oracle Machine Learning account against the Oracle Machine Learning user management cloud service REST endpoint /oauth2/v1/token.
\n$ curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"grant_type\":\"password\", \"username\":\"'<yourusername>'\", \n\"password\":\"' <yourpassword>'\"}' \"<oml-cloud-service-url>/omlusers/tenants/<tenant_name>/databases/<database_name>/api/oauth2/v1/token\"\n
\nwhere
\n\n- -X POST specifies to use a POST request when communicating with the HTTP server
\n- –header defines the headers required for the request (application/json)
\n- -d sends the username and password authentication credentials as data in a POST request to the HTTP server
\n- Content-Type and Accept define the response format (JSON)
\n- yourusername is the user name of a Oracle Machine Learning user with the default OML_DEVELOPER role
\n- yourpassword is the password for the user name
\n- oml-cloud-service-url is the REST server portion of the Oracle Machine Learning user management cloud service instance
\n- tenant_name is the name of the tenancy
\n- database_name is the target database
\n
\nFor example, Oracle Machine Learning user OML_USER with password OML_PASSWD and cloud service url https://123.4.56.78 on port 8080, tenant MYTENANT and Database MYADW authenticates and obtain a REST token using the following approach:
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_698811870","id":"20200915-183826_1009007128","dateCreated":"2020-06-14T18:38:33+0000","dateStarted":"2020-09-15T22:24:36+0000","dateFinished":"2020-09-15T22:24:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"text":"%md\n\nExport the OML server URL to environment variable *oml_server* and exchange Database credentials for an access token.\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:36+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Export the OML server URL to environment variable oml_server and exchange Database credentials for an access token.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_1712986977","id":"20200915-183826_350526226","dateCreated":"2020-08-11T23:07:01+0000","dateStarted":"2020-09-15T22:24:36+0000","dateFinished":"2020-09-15T22:24:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"text":"\n$ export oml_server=https://123.4.56.78:8080\n$ export tenant_name=MYTENANT\n$ export database_name=MYADW\n$ export username=OML_USER\n$ export password=OML_PASSWD\n\ncurl -i -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"grant_type\":\"password\", \"username\":\"'${username}'\", \"password\":\"'${password}'\"}' \"${oml_server}/omlusers/tenants/${tenant_name}/databases/${database_name}/api/oauth2/v1/token\"\n\n HTTP/1.1 200 OK\n Date: Mon, 08 Jun 2020 21:59:16 GMT\n Content-Type: application/json\n Content-Length: 1027\n Connection: keep-alive\n Cache-Control: no-cache, no-store, private\n X-Frame-Options: SAMEORIGIN\n X-XSS-Protection: 1;mode=block\n Strict-Transport-Security: max-age=31536000; includeSubDomains\n X-Content-Type-Options: nosniff\n\n {\"accessToken\":\"eyJhbGciOiJ...\",\"expiresIn\":3600,\"tokenType\":\"Bearer\"}\n\n","user":"CHARLIE","dateUpdated":"2020-09-01T16:57:47+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-1107699818","id":"20200915-183826_1127485885","dateCreated":"2020-08-11T23:04:41+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:150"},{"text":"%md \n\nCopy the \"accessToken\" field from the response and assign it to variable token, surrounded by single quotes.\nA token has a lifecycle of 3600 seconds, or 1 hour, and it can be refreshed for up to 8 hours.","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:36+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Copy the “accessToken” field from the response and assign it to variable token, surrounded by single quotes.\n
A token has a lifecycle of 3600 seconds, or 1 hour, and it can be refreshed for up to 8 hours.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_127501335","id":"20200915-183826_723900074","dateCreated":"2020-08-11T23:07:51+0000","dateStarted":"2020-09-15T22:24:37+0000","dateFinished":"2020-09-15T22:24:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"text":"$ export token='eyJhbGciOiJ...'","user":"CHARLIE","dateUpdated":"2020-09-01T16:57:48+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_862593762","id":"20200915-183826_911007020","dateCreated":"2020-08-11T23:08:13+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:152"},{"text":"%md\n\n### **HTTP Status Codes**\n\nThe REST API uses the HTTP response message to inform the status of the returned results. \n\n* **200** *OK* - The request ran successfully and the response has content.\n* **201** *Created* - The resource was successfully created. The response contains a location header that points to the new resource.\n* **202** *Accepted* - The request has accepted for processing, but the processing has not been completed. This response applies to a resource that supports an asynchronous process.\n* **302** *Found* - The request has finished processing and the response contains a location header that points to the new resource.\n* **400** *Bad Request* - The request could not be processed because it contains missing or invalid information, such as a validation error on a parameter or a missing required value.\n* **401** *Unauthorized* - The request lacks valid authentication credentials for the target resource.\n* **500** *Internal Server Error* - The server encountered an unexpected condition that prevented it from fulfilling the request.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"HTTP Status Codes
\nThe REST API uses the HTTP response message to inform the status of the returned results.
\n\n- 200 OK - The request ran successfully and the response has content.
\n- 201 Created - The resource was successfully created. The response contains a location header that points to the new resource.
\n- 202 Accepted - The request has accepted for processing, but the processing has not been completed. This response applies to a resource that supports an asynchronous process.
\n- 302 Found - The request has finished processing and the response contains a location header that points to the new resource.
\n- 400 Bad Request - The request could not be processed because it contains missing or invalid information, such as a validation error on a parameter or a missing required value.
\n- 401 Unauthorized - The request lacks valid authentication credentials for the target resource.
\n- 500 Internal Server Error - The server encountered an unexpected condition that prevented it from fulfilling the request.
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_31124430","id":"20200915-183826_104922364","dateCreated":"2020-06-15T20:11:02+0000","dateStarted":"2020-09-15T22:24:37+0000","dateFinished":"2020-09-15T22:24:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"text":"%md\n\n### **Create an OML Dataframe and load it to an Oracle Database Table**\n\nIn this example, we load the **iris** data in Python and load the Dataframe into Oracle Database using the ***create*** function. \n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Create an OML Dataframe and load it to an Oracle Database Table
\nIn this example, we load the iris data in Python and load the Dataframe into Oracle Database using the create function.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_140575471","id":"20200915-183826_1704635504","dateCreated":"2020-06-14T19:55:10+0000","dateStarted":"2020-09-15T22:24:37+0000","dateFinished":"2020-09-15T22:24:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"text":"%python\n\nimport oml\nimport pandas as pd\n\nfrom sklearn import datasets\nfrom sklearn.datasets import load_iris\n\niris = datasets.load_iris()\nx = pd.DataFrame(iris.data, columns = ['SEPAL_LENGTH','SEPAL_WIDTH','PETAL_LENGTH','PETAL_WIDTH'])\ny = pd.DataFrame(list(map(lambda x: {0: 'setosa', 1: 'versicolor', 2:'virginica'}[x], iris.target)), columns = ['SPECIES'])\n\ntry:\n oml.drop(table=\"IRIS\")\nexcept:\n pass\n \noml_iris = oml.create(pd.concat([x, y], axis=1), table = 'IRIS')\nindex = oml.DataFrame(oml_iris['SPECIES'])\nz.show(oml_iris)\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:38+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SEPAL_LENGTH":"string","SEPAL_WIDTH":"string","PETAL_LENGTH":"string","PETAL_WIDTH":"string","SPECIES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SEPAL_LENGTH\tSEPAL_WIDTH\tPETAL_LENGTH\tPETAL_WIDTH\tSPECIES\n4.6\t3.6\t1.0\t0.2\tsetosa\n5.1\t2.5\t3.0\t1.1\tversicolor\n6.0\t2.2\t4.0\t1.0\tversicolor\n5.8\t2.6\t4.0\t1.2\tversicolor\n5.5\t2.3\t4.0\t1.3\tversicolor\n5.5\t2.5\t4.0\t1.3\tversicolor\n6.1\t2.8\t4.0\t1.3\tversicolor\n5.7\t2.5\t5.0\t2.0\tvirginica\n6.0\t2.2\t5.0\t1.5\tvirginica\n6.3\t2.5\t5.0\t1.9\tvirginica\n6.7\t3.0\t5.0\t1.7\tversicolor\n7.2\t3.2\t6.0\t1.8\tvirginica\n6.3\t3.3\t6.0\t2.5\tvirginica\n4.3\t3.0\t1.1\t0.1\tsetosa\n5.8\t4.0\t1.2\t0.2\tsetosa\n5.0\t3.2\t1.2\t0.2\tsetosa\n4.4\t3.0\t1.3\t0.2\tsetosa\n4.4\t3.2\t1.3\t0.2\tsetosa\n4.7\t3.2\t1.3\t0.2\tsetosa\n5.5\t3.5\t1.3\t0.2\tsetosa\n4.5\t2.3\t1.3\t0.3\tsetosa\n5.0\t3.5\t1.3\t0.3\tsetosa\n5.4\t3.9\t1.3\t0.4\tsetosa\n4.8\t3.0\t1.4\t0.1\tsetosa\n4.9\t3.6\t1.4\t0.1\tsetosa\n4.9\t3.0\t1.4\t0.2\tsetosa\n4.4\t2.9\t1.4\t0.2\tsetosa\n4.6\t3.2\t1.4\t0.2\tsetosa\n5.0\t3.3\t1.4\t0.2\tsetosa\n5.2\t3.4\t1.4\t0.2\tsetosa\n5.1\t3.5\t1.4\t0.2\tsetosa\n5.0\t3.6\t1.4\t0.2\tsetosa\n5.5\t4.2\t1.4\t0.2\tsetosa\n4.8\t3.0\t1.4\t0.3\tsetosa\n4.6\t3.4\t1.4\t0.3\tsetosa\n5.1\t3.5\t1.4\t0.3\tsetosa\n4.9\t3.1\t1.5\t0.1\tsetosa\n5.2\t4.1\t1.5\t0.1\tsetosa\n4.6\t3.1\t1.5\t0.2\tsetosa\n4.9\t3.1\t1.5\t0.2\tsetosa\n5.0\t3.4\t1.5\t0.2\tsetosa\n5.1\t3.4\t1.5\t0.2\tsetosa\n5.2\t3.5\t1.5\t0.2\tsetosa\n5.3\t3.7\t1.5\t0.2\tsetosa\n5.4\t3.7\t1.5\t0.2\tsetosa\n5.1\t3.8\t1.5\t0.3\tsetosa\n5.4\t3.4\t1.5\t0.4\tsetosa\n5.1\t3.7\t1.5\t0.4\tsetosa\n5.7\t4.4\t1.5\t0.4\tsetosa\n5.0\t3.0\t1.6\t0.2\tsetosa\n4.8\t3.1\t1.6\t0.2\tsetosa\n4.7\t3.2\t1.6\t0.2\tsetosa\n4.8\t3.4\t1.6\t0.2\tsetosa\n5.1\t3.8\t1.6\t0.2\tsetosa\n5.0\t3.4\t1.6\t0.4\tsetosa\n5.0\t3.5\t1.6\t0.6\tsetosa\n5.4\t3.4\t1.7\t0.2\tsetosa\n5.7\t3.8\t1.7\t0.3\tsetosa\n5.4\t3.9\t1.7\t0.4\tsetosa\n5.1\t3.3\t1.7\t0.5\tsetosa\n4.8\t3.4\t1.9\t0.2\tsetosa\n5.1\t3.8\t1.9\t0.4\tsetosa\n5.0\t2.3\t3.3\t1.0\tversicolor\n4.9\t2.4\t3.3\t1.0\tversicolor\n5.0\t2.0\t3.5\t1.0\tversicolor\n5.7\t2.6\t3.5\t1.0\tversicolor\n5.6\t2.9\t3.6\t1.3\tversicolor\n5.5\t2.4\t3.7\t1.0\tversicolor\n5.5\t2.4\t3.8\t1.1\tversicolor\n5.6\t2.5\t3.9\t1.1\tversicolor\n5.8\t2.7\t3.9\t1.2\tversicolor\n5.2\t2.7\t3.9\t1.4\tversicolor\n5.8\t2.7\t4.1\t1.0\tversicolor\n5.6\t3.0\t4.1\t1.3\tversicolor\n5.7\t2.8\t4.1\t1.3\tversicolor\n5.7\t3.0\t4.2\t1.2\tversicolor\n5.6\t2.7\t4.2\t1.3\tversicolor\n5.7\t2.9\t4.2\t1.3\tversicolor\n5.9\t3.0\t4.2\t1.5\tversicolor\n6.2\t2.9\t4.3\t1.3\tversicolor\n6.4\t2.9\t4.3\t1.3\tversicolor\n5.5\t2.6\t4.4\t1.2\tversicolor\n6.3\t2.3\t4.4\t1.3\tversicolor\n6.6\t3.0\t4.4\t1.4\tversicolor\n6.7\t3.1\t4.4\t1.4\tversicolor\n4.9\t2.5\t4.5\t1.7\tvirginica\n5.7\t2.8\t4.5\t1.3\tversicolor\n5.4\t3.0\t4.5\t1.5\tversicolor\n5.6\t3.0\t4.5\t1.5\tversicolor\n6.2\t2.2\t4.5\t1.5\tversicolor\n6.0\t2.9\t4.5\t1.5\tversicolor\n6.4\t3.2\t4.5\t1.5\tversicolor\n6.0\t3.4\t4.5\t1.6\tversicolor\n6.6\t2.9\t4.6\t1.3\tversicolor\n6.1\t3.0\t4.6\t1.4\tversicolor\n6.5\t2.8\t4.6\t1.5\tversicolor\n6.1\t2.8\t4.7\t1.2\tversicolor\n6.1\t2.9\t4.7\t1.4\tversicolor\n7.0\t3.2\t4.7\t1.4\tversicolor\n6.7\t3.1\t4.7\t1.5\tversicolor\n6.3\t3.3\t4.7\t1.6\tversicolor\n6.0\t3.0\t4.8\t1.8\tvirginica\n6.2\t2.8\t4.8\t1.8\tvirginica\n6.8\t2.8\t4.8\t1.4\tversicolor\n5.9\t3.2\t4.8\t1.8\tversicolor\n5.6\t2.8\t4.9\t2.0\tvirginica\n6.1\t3.0\t4.9\t1.8\tvirginica\n6.3\t2.7\t4.9\t1.8\tvirginica\n6.3\t2.5\t4.9\t1.5\tversicolor\n6.9\t3.1\t4.9\t1.5\tversicolor\n6.5\t3.2\t5.1\t2.0\tvirginica\n6.3\t2.8\t5.1\t1.5\tvirginica\n5.9\t3.0\t5.1\t1.8\tvirginica\n5.8\t2.7\t5.1\t1.9\tvirginica\n5.8\t2.7\t5.1\t1.9\tvirginica\n6.9\t3.1\t5.1\t2.3\tvirginica\n5.8\t2.8\t5.1\t2.4\tvirginica\n6.0\t2.7\t5.1\t1.6\tversicolor\n6.5\t3.0\t5.2\t2.0\tvirginica\n6.7\t3.0\t5.2\t2.3\tvirginica\n6.4\t2.7\t5.3\t1.9\tvirginica\n6.4\t3.2\t5.3\t2.3\tvirginica\n6.9\t3.1\t5.4\t2.1\tvirginica\n6.2\t3.4\t5.4\t2.3\tvirginica\n6.5\t3.0\t5.5\t1.8\tvirginica\n6.4\t3.1\t5.5\t1.8\tvirginica\n6.8\t3.0\t5.5\t2.1\tvirginica\n6.1\t2.6\t5.6\t1.4\tvirginica\n6.3\t2.9\t5.6\t1.8\tvirginica\n6.4\t2.8\t5.6\t2.1\tvirginica\n6.4\t2.8\t5.6\t2.2\tvirginica\n6.7\t3.1\t5.6\t2.4\tvirginica\n6.3\t3.4\t5.6\t2.4\tvirginica\n6.7\t3.3\t5.7\t2.1\tvirginica\n6.9\t3.2\t5.7\t2.3\tvirginica\n6.7\t3.3\t5.7\t2.5\tvirginica\n7.2\t3.0\t5.8\t1.6\tvirginica\n6.7\t2.5\t5.8\t1.8\tvirginica\n6.5\t3.0\t5.8\t2.2\tvirginica\n7.1\t3.0\t5.9\t2.1\tvirginica\n6.8\t3.2\t5.9\t2.3\tvirginica\n7.4\t2.8\t6.1\t1.9\tvirginica\n7.7\t3.0\t6.1\t2.3\tvirginica\n7.2\t3.6\t6.1\t2.5\tvirginica\n7.3\t2.9\t6.3\t1.8\tvirginica\n7.9\t3.8\t6.4\t2.0\tvirginica\n7.6\t3.0\t6.6\t2.1\tvirginica\n7.7\t2.8\t6.7\t2.0\tvirginica\n7.7\t3.8\t6.7\t2.2\tvirginica\n7.7\t2.6\t6.9\t2.3\tvirginica\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_1633697565","id":"20200915-183826_1611638511","dateCreated":"2020-06-14T19:56:19+0000","dateStarted":"2020-09-15T22:24:38+0000","dateFinished":"2020-09-15T22:24:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"text":"%md\n\n### **Create a Python script and save it to the OML4Py Script Repository**\n\nIn this script, we return the counts for each category in the **SPECIES** column and return the results sorted by the **SEPAL_LENGTH** column using ***oml.group_apply***.\nNotice the value for ***group_count*** is a string, not a Python function object, however, the results are the same. The script is invoked from the Python interface, followed by the REST API.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:48+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Create a Python script and save it to the OML4Py Script Repository
\nIn this script, we return the counts for each category in the SPECIES column and return the results sorted by the SEPAL_LENGTH column using oml.group_apply.\n
Notice the value for group_count is a string, not a Python function object, however, the results are the same. The script is invoked from the Python interface, followed by the REST API.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-808514778","id":"20200915-183826_813343359","dateCreated":"2020-06-14T18:31:13+0000","dateStarted":"2020-09-15T22:24:48+0000","dateFinished":"2020-09-15T22:24:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"text":"%python\n\ngroup_count = \"\"\"def group_count(dat):\n import oml\n import pandas as pd\n return pd.DataFrame([(dat[\"SPECIES\"][0], dat[\"SEPAL_LENGTH\"][0], dat.shape[0])], \\\n columns = [\"SPECIES\",\"SEPAL_LENGTH\", \"COUNT\"])\"\"\"\n\ntry:\n oml.script.drop(\"group_count\")\nexcept: \n pass\noml.script.create(\"group_count\", func=group_count, overwrite=True) \n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:48+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106888_-359630493","id":"20200915-183826_828120976","dateCreated":"2020-06-14T20:17:35+0000","dateStarted":"2020-09-15T22:24:48+0000","dateFinished":"2020-09-15T22:24:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"text":"%python\n\nres = oml.group_apply(oml_iris, index, func=group_count, oml_input_type=\"pandas.DataFrame\",\\\n func_value=pd.DataFrame([('a', 1, 1)], columns=[\"SPECIES\", \"SEPAL_LENGTH\",\"COUNT\"]),\\\n orderby=oml_iris[\"SEPAL_LENGTH\"])\n\nz.show(res)\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:49+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SPECIES":"string","SEPAL_LENGTH":"string","COUNT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SPECIES\tSEPAL_LENGTH\tCOUNT\nversicolor\t5.0\t2\nvirginica\t6.0\t1\nvirginica\t6.0\t1\nversicolor\t6.0\t2\nversicolor\t6.0\t2\nsetosa\t4.3\t18\nsetosa\t4.9\t1\nsetosa\t4.9\t9\nvirginica\t4.9\t1\nversicolor\t4.9\t1\nsetosa\t5.1\t8\nversicolor\t5.1\t1\nsetosa\t5.2\t2\nsetosa\t5.2\t7\nversicolor\t5.2\t1\nversicolor\t5.4\t3\nsetosa\t5.5\t2\nversicolor\t5.5\t6\nvirginica\t5.6\t1\nversicolor\t5.6\t2\nsetosa\t5.7\t2\nvirginica\t5.7\t1\nversicolor\t5.7\t5\nsetosa\t5.8\t1\nvirginica\t5.8\t1\nvirginica\t5.8\t2\nversicolor\t5.8\t1\nversicolor\t5.8\t2\nvirginica\t5.9\t1\nversicolor\t5.9\t3\nvirginica\t6.1\t2\nversicolor\t6.1\t3\nvirginica\t6.2\t1\nvirginica\t6.2\t1\nversicolor\t6.2\t1\nversicolor\t6.2\t1\nvirginica\t6.3\t1\nvirginica\t6.3\t1\nvirginica\t6.3\t4\nversicolor\t6.3\t1\nversicolor\t6.3\t1\nversicolor\t6.3\t1\nvirginica\t6.4\t2\nvirginica\t6.4\t3\nversicolor\t6.4\t1\nversicolor\t6.4\t1\nvirginica\t6.5\t2\nvirginica\t6.5\t2\nversicolor\t6.5\t1\nversicolor\t6.6\t2\nvirginica\t6.7\t1\nvirginica\t6.7\t1\nvirginica\t6.7\t5\nversicolor\t6.7\t1\nversicolor\t6.7\t2\nversicolor\t6.8\t1\nvirginica\t6.9\t3\nversicolor\t6.9\t2\nvirginica\t7.1\t12\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_28245393","id":"20200915-183826_26598631","dateCreated":"2020-06-14T21:10:59+0000","dateStarted":"2020-09-15T22:24:49+0000","dateFinished":"2020-09-15T22:24:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"text":"%md\n\n### **View the Python script in the OML4Py Script Repository**\n\nWe can check for the existence of the saved ***group_count*** script from the Python and REST interfaces. From Python, run the OML4Py function ***oml.script.dir***.","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:55+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"View the Python script in the OML4Py Script Repository
\nWe can check for the existence of the saved group_count script from the Python and REST interfaces. From Python, run the OML4Py function oml.script.dir.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-380976608","id":"20200915-183826_472918756","dateCreated":"2020-06-15T21:48:12+0000","dateStarted":"2020-09-15T22:24:55+0000","dateFinished":"2020-09-15T22:24:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"text":"%python\n\noml.script.dir(sctype='all')[['name', 'owner']]\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:55+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name owner\n0 RandomRedDots OMLUSER\n1 build_lm_1 OMLUSER\n2 group_count OMLUSER\n3 sk_svc_fit OMLUSER\n4 RandomRedDots PYQSYS\n5 RandomRedDots2 PYQSYS\n6 RandomRedDots3 PYQSYS\n7 compute_random_mean PYQSYS\n8 group_count PYQSYS\n9 my_predict PYQSYS\n10 pred_lm PYQSYS\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_1741587243","id":"20200915-183826_2042370631","dateCreated":"2020-06-15T21:50:56+0000","dateStarted":"2020-09-15T22:24:55+0000","dateFinished":"2020-09-15T22:24:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"text":"%md\n\n### **Synchronous REST API calls**\n\nNow verify the existence of the ***group_count*** function in the script repository from the REST API with the ***cURL*** command. The default REST API execution mode is *synchronous*, so code execution will wait for the REST API call to return before additional calls may be initiated. \n\nThe Linux command line JSON parser ***jq*** is used to return the script name and owner. To install jq on your Linux REST client, run the command ***sudo yum install jq***.\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:56+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{"oml_server":"","token":""},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Synchronous REST API calls
\nNow verify the existence of the group_count function in the script repository from the REST API with the cURL command. The default REST API execution mode is synchronous, so code execution will wait for the REST API call to return before additional calls may be initiated.
\nThe Linux command line JSON parser jq is used to return the script name and owner. To install jq on your Linux REST client, run the command sudo yum install jq.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1132508602","id":"20200915-183826_676149887","dateCreated":"2020-06-10T19:08:58+0000","dateStarted":"2020-09-15T22:24:56+0000","dateFinished":"2020-09-15T22:24:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"text":"\r\n\r\n$ curl -X GET --header \"Authorization: Bearer ${token}\" --header 'Accept: application/json' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/scripts\" | jq '.result[] | .name + \" \" + .owner'\r\n\r\n HTTP/1.1 200 OK\r\n Date: Tue, 16 Jun 2020 21:44:39 GMT\r\n Content-Type: application/json\r\n Transfer-Encoding: chunked\r\n Connection: keep-alive\r\n Cache-Control: no-cache, no-store, private\r\n X-Frame-Options: SAMEORIGIN\r\n X-XSS-Protection: 1;mode=block\r\n Strict-Transport-Security: max-age=31536000; includeSubDomains\r\n X-Content-Type-Options: nosniff\r\n\r\n \"group_count OWNER\"","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-1136594839","id":"20200915-183826_118536565","dateCreated":"2020-08-11T23:42:57+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:162"},{"text":"%md\n\nInvoke the ***group_count*** function in the script repository from the REST API. Set ***parallelFlag*** to true to leverage Database parallelism.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:56+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Invoke the group_count function in the script repository from the REST API. Set parallelFlag to true to leverage Database parallelism.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-2063402482","id":"20200915-183826_451593337","dateCreated":"2020-06-15T22:12:33+0000","dateStarted":"2020-09-15T22:24:56+0000","dateFinished":"2020-09-15T22:24:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"text":"\n\n$ curl -i -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"input\":\"select * from IRIS\", \"parameters\":\"{\\\"oml_input_type\\\":\\\"pandas.DataFrame\\\"}\", \"groupBy\":\"SPECIES\", \"orderBy\":\"SEPAL_LENGTH\", \"parallelFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/group-apply/group_count\"\n","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_585833848","id":"20200915-183826_60656449","dateCreated":"2020-08-07T16:40:17+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:164"},{"text":"%md\n\nThe result of the REST execution is a JSON representation of the value returned from the Python script. Dataframes, lists, and dictionaries and \nPNG images are supported. The first portion of the returned value is:\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:57+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The result of the REST execution is a JSON representation of the value returned from the Python script. Dataframes, lists, and dictionaries and\n
PNG images are supported. The first portion of the returned value is:
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1106750378","id":"20200915-183826_1120065423","dateCreated":"2020-08-11T23:46:39+0000","dateStarted":"2020-09-15T22:24:57+0000","dateFinished":"2020-09-15T22:24:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:165"},{"text":"\n\n{\"result\":{\"versicolor_8\":{\"SEPAL_LENGTH\":{\"0\":5.7},\"SPECIES\":{\"0\":\"versicolor\"},\"CNT\":{\"0\":5}},\"versicolor_7\":{\"SEPAL_LENGTH\":{\"0\":5.6},\"SPECIES\":{\"0\":\"versicolor\"},\"CNT\":{\"0\":2}},\"virginica_20\":{\"SEPAL_LENGTH\":{\"0\":6.7},\"SPECIES\":{\"0\":\"virginica\"},.....\n","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-973227765","id":"20200915-183826_1075512755","dateCreated":"2020-08-11T23:46:57+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:166"},{"text":"%md\n\n### **Asynchronous REST API calls**\n\n*Asynchronous* calls do not wait for the REST API call to return from the server. If the Python script is performing long running computations, results will not be immediate and the user may continue development on the client. The Asynchronous call's returned results are included in the response header. Display the response header by passing the ***-i*** flag to the ***cURL*** command. Asynchronous calls have a default timeout of 1800 seconds, or 30 minutes. Set the ***asyncFlag*** to ***true*** to run asynchronous calls from the REST API.\n\n ","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:57+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{"token":"","oml_server":""},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Asynchronous REST API calls
\nAsynchronous calls do not wait for the REST API call to return from the server. If the Python script is performing long running computations, results will not be immediate and the user may continue development on the client. The Asynchronous call's returned results are included in the response header. Display the response header by passing the -i flag to the cURL command. Asynchronous calls have a default timeout of 1800 seconds, or 30 minutes. Set the asyncFlag to true to run asynchronous calls from the REST API.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_1070727819","id":"20200915-183826_211736773","dateCreated":"2020-06-10T19:10:49+0000","dateStarted":"2020-09-15T22:24:57+0000","dateFinished":"2020-09-15T22:24:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:167"},{"text":"\n\n$ curl -i -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"asyncFlag\":true, \"input\":\"select * from IRIS\", \"parameter\":\"{\\\"oml_input_type\\\":\\“pandas.DataFrame\\\"}\", \"groupBy\":\"SPECIES\", \"orderBy\":\"SEPAL_LENGTH\", \"parallelFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/group-apply/group_count\"","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-1930883667","id":"20200915-183826_1672908180","dateCreated":"2020-08-11T23:48:30+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:168"},{"text":"%md\n\nThe ***timeout*** flag is used to change the default timeout setting. Here is the equivalent asynchronous REST call with a timeout of 300 seconds, or 5 minutes. \nThe output includes the HTTP 201 status code indicating the job was created and a job id location that can be polled for status and results.\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:57+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The timeout flag is used to change the default timeout setting. Here is the equivalent asynchronous REST call with a timeout of 300 seconds, or 5 minutes.\n
The output includes the HTTP 201 status code indicating the job was created and a job id location that can be polled for status and results.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-2063477581","id":"20200915-183826_924602562","dateCreated":"2020-08-11T23:49:32+0000","dateStarted":"2020-09-15T22:24:58+0000","dateFinished":"2020-09-15T22:24:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"},{"text":"\n\n$ curl -i -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"asyncFlag\":true,\"timeout\":300, \"input\":\"select * from IRIS\", \"parameter\":\"{\\\"oml_input_type\\\":\\\"pandas.DataFrame\\\"}\", \"groupBy\":\"SPECIES\", \"orderBy\":\"SEPAL_LENGTH\", \"parallelFlag\":true}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/group-apply/group_count\"\n\n HTTP/1.1 201 Created\n Location: $ {oml_server}/oml/tenants/MYTENANT/databases/MYADW/api/py-scripts/v1/\n Cache-Control: no-cache, no-store, private\n Content-Length: 0\n X-Frame-Options: SAMEORIGIN\n Proxy-Connection: Keep-Alive\n X-XSS-Protection: 1;mode=block\n X-Content-Type-Options: nosniff\n","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-2038807319","id":"20200915-183826_791866639","dateCreated":"2020-08-11T23:49:59+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:170"},{"text":"%md\n\nTo poll the job status, pass the job location to ***cURL*** using the GET method. The HTTP response status 302 indicates the currently executing job is found \nand includes a job id location for future results.\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:58+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"To poll the job status, pass the job location to cURL using the GET method. The HTTP response status 302 indicates the currently executing job is found\n
and includes a job id location for future results.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_905687829","id":"20200915-183826_1427132636","dateCreated":"2020-06-15T22:41:51+0000","dateStarted":"2020-09-15T22:24:58+0000","dateFinished":"2020-09-15T22:24:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:171"},{"text":"\n\n$ curl -i -X GET --header \"Authorization: Bearer ${token}\" --header 'Accept: application/json' ${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/jobs/\n\n HTTP/1.1 302 Found\n Date: Thu, 04 Jun 2020 13:04:04 GMT\n Server: nginx/1.18.0\n Cache-Control: no-cache, no-store, private\n Content-Length: 0\n X-Frame-Options: SAMEORIGIN\n Content-Location: http:///oml/tenants/TENANT1/databases/ADWP/api/py-scripts/v1//result\n Proxy-Connection: Keep-Alive\n X-XSS-Protection: 1;mode=block\n X-Content-Type-Options: nosniff","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:04+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_1640470743","id":"20200915-183826_35503559","dateCreated":"2020-08-11T23:55:20+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:172"},{"text":"%md\n\nPoll the job at the results location.\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:58+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Poll the job at the results location.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_1346870147","id":"20200915-183826_1473406726","dateCreated":"2020-06-15T22:43:19+0000","dateStarted":"2020-09-15T22:24:59+0000","dateFinished":"2020-09-15T22:24:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:173"},{"text":"\r\n\r\n$ curl -i -X GET --header \"Authorization: Bearer ${token}\" --header 'Accept: application/json' ${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/jobs//result\r\n\r\n\r\n HTTP/1.1 200 OK\r\n Date: Thu, 04 Jun 2020 13:06:05 GMT\r\n Server: nginx/1.18.0\r\n Content-Type: application/json\r\n Cache-Control: no-cache, no-store, private\r\n Content-Length: 1038\r\n X-Frame-Options: SAMEORIGIN\r\n Proxy-Connection: Keep-Alive\r\n X-XSS-Protection: 1;mode=block\r\n X-Content-Type-Options: nosniff","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:04+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-701764671","id":"20200915-183826_1873846886","dateCreated":"2020-08-11T23:57:32+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:174"},{"text":"%md\n\nA portion of the returned value is:\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:59+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"A portion of the returned value is:
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_761485928","id":"20200915-183826_946964988","dateCreated":"2020-08-11T23:58:58+0000","dateStarted":"2020-09-15T22:24:59+0000","dateFinished":"2020-09-15T22:24:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:175"},{"text":"\n\n{\"result\":{\"versicolor_8\":{\"SEPAL_LENGTH\":{\"0\":5.7},\"SPECIES\":{\"0\":\"versicolor\"},\"CNT\":{\"0\":5}},\"versicolor_7\":{\"SEPAL_LENGTH\":{\"0\":5.6},\"SPECIES\":{\"0\":\"versicolor\"},\"CNT\":{\"0\":2}},\"virginica_20\":{\"SEPAL_LENGTH\":{\"0\":6.7},\"SPECIES\":{\"0\":\"virginica\"},.....\n","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:05+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_74495748","id":"20200915-183826_1466824880","dateCreated":"2020-08-11T23:59:11+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:176"},{"text":"%md\n\n### **Returning Model Details from the REST API**\n\nLet's create a linear model script and run it from the REST API. First, we'll define our function, ***build_lm_rest***, that returns a dict mapping of the model attributes. Note that the model itself cannot be returned directly from REST because LinearRegression models are not JSON-serializable. \n\n\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:24:59+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Returning Model Details from the REST API
\nLet's create a linear model script and run it from the REST API. First, we'll define our function, build_lm_rest, that returns a dict mapping of the model attributes. Note that the model itself cannot be returned directly from REST because LinearRegression models are not JSON-serializable.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1474441229","id":"20200915-183826_323182348","dateCreated":"2020-08-18T21:01:09+0000","dateStarted":"2020-09-15T22:24:59+0000","dateFinished":"2020-09-15T22:24:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:177"},{"text":"%python\n\nbuild_lm_rest = \"\"\"def build_rest(dat):\n from sklearn import linear_model\n import oml\n regr = linear_model.LinearRegression()\n import pandas as pd\n dat = pd.get_dummies(dat, drop_first=True)\n X = dat[[\"SEPAL_WIDTH\", \"PETAL_LENGTH\", \"PETAL_WIDTH\", \"SPECIES_versicolor\", \"SPECIES_virginica\"]]\n y = dat[[\"SEPAL_LENGTH\"]]\n regr.fit(X, y)\n data = {}\n data[\"init_params\"] = regr.get_params()\n data[\"model_params\"] = mp = {}\n for p in (\"coef_\", \"intercept_\", \"_residues\", \"singular_\"):\n mp[p] = getattr(regr, p).tolist()\n return data\"\"\"\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:25:00+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106888_809598295","id":"20200915-183826_2030726288","dateCreated":"2020-08-18T21:26:57+0000","dateStarted":"2020-09-15T22:25:00+0000","dateFinished":"2020-09-15T22:25:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:178"},{"text":"%md\n\nSave the ***buld_lm_rest*** script to the Python script repository","user":"OMLUSER","dateUpdated":"2020-09-15T22:25:00+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Save the buld_lm_rest script to the Python script repository
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1959375837","id":"20200915-183826_1300243492","dateCreated":"2020-08-18T21:34:25+0000","dateStarted":"2020-09-15T22:25:00+0000","dateFinished":"2020-09-15T22:25:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:179"},{"text":"%python\n\ntry:\n oml.script.drop(\"build_lm_rest\")\nexcept: \n pass\noml.script.create(\"build_lm_rest\", func=build_lm_rest, overwrite=True) ","user":"OMLUSER","dateUpdated":"2020-09-15T22:25:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195106888_516471322","id":"20200915-183826_1972436316","dateCreated":"2020-08-18T20:16:08+0000","dateStarted":"2020-09-15T22:25:01+0000","dateFinished":"2020-09-15T22:25:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:180"},{"text":"%md\n\nWe invoke the ***build_lm_rest*** function in the script repository from the REST API in asynchronous mode. \n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:29:16+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"We invoke the build_lm_rest function in the script repository from the REST API in asynchronous mode.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_942502012","id":"20200915-183826_2082629597","dateCreated":"2020-08-18T21:35:47+0000","dateStarted":"2020-09-15T22:25:01+0000","dateFinished":"2020-09-15T22:25:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:181"},{"text":"\n\n$ curl -i -X POST --header \"Authorization: Bearer ${token}\" --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{\"input\":\"select * from IRIS\", \"parameters\":\"{\\\"oml_input_type\\\":\\\"pandas.DataFrame\\\"}\"}' \"${oml_server}/oml/tenants/${tenant_name}/databases/${database_name}/api/py-scripts/v1/table-apply/build_lm_rest\"","user":"OMLUSER","dateUpdated":"2020-09-15T22:29:29+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_-1793919388","id":"20200915-183826_1457977893","dateCreated":"2020-08-20T20:39:17+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:182"},{"text":"%md\n\nThe returned value is a dict containing model attributes.","user":"OMLUSER","dateUpdated":"2020-09-15T22:25:01+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The returned value is a dict containing model attributes.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-2097208149","id":"20200915-183826_436950489","dateCreated":"2020-08-18T21:38:20+0000","dateStarted":"2020-09-15T22:25:02+0000","dateFinished":"2020-09-15T22:25:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:183"},{"text":"\n{\"result\":{\"init_params\":{\"fit_intercept\":true,\"n_jobs\":null,\"normalize\":false,\"copy_X\":true},\"model_params\":{\"intercept_\":[2.1712662921550736],\"_residues\":[13.556485081974792],\"coef_\":[[0.4958889383885511,0.8292439122348054,-0.315155173326473,-0.7235619577807288,-1.0234978144908309]],\"singular_\":[23.873627650888057,7.279716799977891,4.192696791126727,2.194192042042924,0.7289542732694926]}}}","user":"CHARLIE","dateUpdated":"2020-09-01T16:58:08+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195106888_1242631652","id":"20200915-183826_1745039833","dateCreated":"2020-08-18T20:56:59+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:184"},{"text":"%md\n# End of Script","user":"OMLUSER","dateUpdated":"2020-09-15T22:25:02+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195106888_-1533930649","id":"20200915-183826_133214091","dateCreated":"2020-06-10T19:13:37+0000","dateStarted":"2020-09-15T22:25:02+0000","dateFinished":"2020-09-15T22:25:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:185"}],"name":"OML4Py REST API","id":"468003","noteParams":{},"noteForms":{"oml_server":{"type":"TextBox","name":"oml_server","defaultValue":"","hidden":false}},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
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+{"paragraphs":[{"text":"%md\n## Regression Modeling to Predict Numerical Values\n\nThis notebook shows how to predict numerical values using multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE - a continuous variable. We will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:23+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":151.8,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Regression Modeling to Predict Numerical Values
\nThis notebook shows how to predict numerical values using multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE - a continuous variable. We will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-728544046","id":"20200915-183827_1244897739","dateCreated":"2020-04-01T21:57:16+0000","dateStarted":"2020-09-15T22:37:23+0000","dateFinished":"2020-09-15T22:37:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md \n\n![\"OML](\"https://www.oracle.com/technetwork/database/options/advanced-analytics/regression-5663170.jpg\")
\n
","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:25+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":146.5,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-844580654","id":"20200915-183827_163834422","dateCreated":"2020-06-03T20:24:58+0000","dateStarted":"2020-09-15T22:37:26+0000","dateFinished":"2020-09-15T22:37:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOML folder on Oracle Github \nOML web page: \nOML Regression: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:26+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Regression: http://www.oracle.com/goto/ml-regression
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_665698779","id":"20200915-183827_1064932630","dateCreated":"2020-06-10T18:41:48+0000","dateStarted":"2020-09-15T22:37:26+0000","dateFinished":"2020-09-15T22:37:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\n\nimport pandas as pd\nimport oml\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:26+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107404_1551776868","id":"20200915-183827_339921621","dateCreated":"2020-04-08T15:04:21+0000","dateStarted":"2020-09-15T22:37:27+0000","dateFinished":"2020-09-15T22:37:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Prepare the dataset combining customer data with supplemental demographics","text":"%python\n\nCUSTOMERS = oml.sync(query = 'SELECT CUST_ID, CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, CUST_CREDIT_LIMIT FROM SH.CUSTOMERS')\nDEMO_DF = oml.sync(query = \"\"\"SELECT CUST_ID, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION, YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS\"\"\")\nCUST_DF = CUSTOMERS.merge(DEMO_DF, how = \"inner\", on = 'CUST_ID',suffixes = [\"\",\"\"])\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:36+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107404_-1401489523","id":"20200915-183827_1135086703","dateCreated":"2020-04-01T21:57:37+0000","dateStarted":"2020-09-15T22:37:36+0000","dateFinished":"2020-09-15T22:37:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display a few rows from CUST_DF","text":"%python\n\nz.show(CUST_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-2023744006","id":"20200915-183827_1437391990","dateCreated":"2020-04-01T21:59:10+0000","dateStarted":"2020-09-15T22:37:37+0000","dateFinished":"2020-09-15T22:37:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Split data into randomly selected 60% sample for train and 40% test","text":"%python\n\nTRAIN, TEST = CUST_DF.split(ratio = (0.6,0.4))\nTRAIN_X = TRAIN.drop('YRS_RESIDENCE')\nTRAIN_Y = TRAIN['YRS_RESIDENCE']\nTEST_X = TEST.drop('YRS_RESIDENCE')\nTEST_Y = TEST['YRS_RESIDENCE']","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107404_1135461139","id":"20200915-183827_638460656","dateCreated":"2020-04-01T21:59:20+0000","dateStarted":"2020-09-15T22:37:38+0000","dateFinished":"2020-09-15T22:37:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Build a GLM regression model for predicting YRS_RESIDENCE","text":"%python\n\nsettings = {'GLMS_FTR_GENERATION': 'dbms_data_mining.GLMS_FTR_GENERATION_ENABLE', \n 'GLMS_FTR_SELECTION':'dbms_data_mining.GLMS_FTR_SELECTION_ENABLE'}\n\ntry:\n oml.drop(model = 'GLM_REGRESSION_MODEL')\nexcept:\n print('No such model')\n \nglm_mod = oml.glm(\"regression\", **settings)\nglm_mod.fit(TRAIN_X, TRAIN_Y, model_name = 'GLM_REGRESSION_MODEL', case_id = 'CUST_ID')","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:38+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"No such model\n\nModel Name: GLM_REGRESSION_MODEL\n\nModel Owner: OMLUSER\n\nAlgorithm Name: Generalized Linear Model\n\nMining Function: REGRESSION\n\nTarget: YRS_RESIDENCE\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_GENERALIZED_LINEAR_MODEL\n1 GLMS_CONF_LEVEL .95\n2 GLMS_FTR_GENERATION GLMS_FTR_GENERATION_ENABLE\n3 GLMS_FTR_SELECTION GLMS_FTR_SELECTION_ENABLE\n4 GLMS_FTR_SEL_CRIT GLMS_FTR_SEL_ALPHA_INV\n5 GLMS_MAX_FEATURES 1000\n6 GLMS_PRUNE_MODEL GLMS_PRUNE_MODEL_ENABLE\n7 GLMS_SELECT_BLOCK GLMS_SELECT_BLOCK_DISABLE\n8 ODMS_DETAILS ODMS_ENABLE\n9 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n10 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n11 PREP_AUTO ON\n\nComputed Settings: \n setting name setting value\n0 GLMS_CONV_TOLERANCE .0000050000000000000004\n1 GLMS_NUM_ITERATIONS 30\n2 GLMS_RIDGE_REGRESSION GLMS_RIDGE_REG_DISABLE\n\nGlobal Statistics: \n ADJUSTED_R_SQUARE AIC COEFF_VAR CONVERGED CORRECTED_TOTAL_DF CORRECTED_TOT_SS DEPENDENT_MEAN ERROR_DF ERROR_MEAN_SQUARE ERROR_SUM_SQUARES F_VALUE GMSEP HOCKING_SP J_P MODEL_DF MODEL_F_P_VALUE MODEL_MEAN_SQUARE MODEL_SUM_SQUARES NUM_PARAMS NUM_ROWS ROOT_MEAN_SQ R_SQ SBIC VALID_COVARIANCE_MATRIX\n0 0.509374 1502.803345 32.776625 YES 2708.0 9534.730897 4.009967 2687.0 1.727468 4641.706551 134.880158 1.741617 0.000643 1.741497 21.0 0.0 233.001159 4893.024346 22.0 2709.0 1.314332 0.513179 1632.698711 YES\n\nAttributes: \nAFFINITY_CARD\nCUST_GENDER\nCUST_INCOME_LEVEL\nCUST_MARITAL_STATUS\nCUST_YEAR_OF_BIRTH\nEDUCATION\nHOUSEHOLD_SIZE\nOCCUPATION\nY_BOX_GAMES\n\nPartition: NO\n\nCoefficients: \n\n name level estimate\n0 (Intercept) None 4.620710\n1 AFFINITY_CARD None 127.971869\n2 CUST_GENDER_F None -0.402099\n3 CUST_INCOME_LEVEL_A: Below 30,000 None 0.555277\n4 CUST_INCOME_LEVEL_F: 110,000 - 129,999 None -0.267428\n5 CUST_MARITAL_STATUS_Divorc. None 124.413914\n6 CUST_MARITAL_STATUS_Widowed None 0.342010\n7 CUST_YEAR_OF_BIRTH*AFFINITY_CARD None -0.065059\n8 CUST_YEAR_OF_BIRTH*CUST_MARITAL_STATUS_Divorc. None -0.063288\n9 CUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*OCCUPATI... None 0.001535\n10 CUST_YEAR_OF_BIRTH*OCCUPATION_Exec. None -6.056116\n11 EDUCATION_< Bach. None -0.228723\n12 EDUCATION_PhD None 0.729161\n13 EDUCATION_Profsc None 0.528395\n14 HOUSEHOLD_SIZE_4-5 None -0.355725\n15 OCCUPATION_Crafts*EDUCATION_Masters None -4.353282\n16 OCCUPATION_Exec. None 5974.114331\n17 OCCUPATION_Handler None -0.506399\n18 OCCUPATION_House-s None -1.028326\n19 OCCUPATION_Other None -0.360957\n20 OCCUPATION_Transp. None 0.373321\n21 Y_BOX_GAMES None -1.946874\n\nFit Details: \n\n name value\n0 ADJUSTED_R_SQUARE 0.509374\n1 AIC 1502.803345\n2 COEFF_VAR 32.776625\n3 CORRECTED_TOTAL_DF 2708.000000\n4 CORRECTED_TOT_SS 9534.730897\n5 DEPENDENT_MEAN 4.009967\n6 ERROR_DF 2687.000000\n7 ERROR_MEAN_SQUARE 1.727468\n8 ERROR_SUM_SQUARES 4641.706551\n9 F_VALUE 134.880158\n10 GMSEP 1.741617\n11 HOCKING_SP 0.000643\n12 J_P 1.741497\n13 MODEL_CONVERGED 1.000000\n14 MODEL_DF 21.000000\n15 MODEL_F_P_VALUE 0.000000\n16 MODEL_MEAN_SQUARE 233.001159\n17 MODEL_SUM_SQUARES 4893.024346\n18 NUM_PARAMS 22.000000\n19 NUM_ROWS 2709.000000\n20 ROOT_MEAN_SQ 1.314332\n21 R_SQ 0.513179\n22 SBIC 1632.698711\n23 VALID_COVARIANCE_MATRIX 1.000000\n\nRank: \n\n22\n\nDeviance: \n\n4641.706551\n\nAIC: \n\n1503\n\nNull Deviance: \n\n9534.730897\n\nDF Residual: \n\n2687.0\n\nDF Null: \n\n2708.0\n\nConverged: \n\nTrue\n\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-1464700333","id":"20200915-183827_605573254","dateCreated":"2020-04-01T22:01:57+0000","dateStarted":"2020-09-15T22:37:39+0000","dateFinished":"2020-09-15T22:37:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display model fit details","text":"%python\n\nz.show(glm_mod.fit_details)","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:42+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"name":"string","value":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"name\tvalue\nADJUSTED_R_SQUARE\t0.5093743672999828\nAIC\t1502.8033446013962\nCOEFF_VAR\t32.77662502584026\nCORRECTED_TOTAL_DF\t2708.0\nCORRECTED_TOT_SS\t9534.730897009955\nDEPENDENT_MEAN\t4.009966777408638\nERROR_DF\t2687.0\nERROR_MEAN_SQUARE\t1.727468012913557\nERROR_SUM_SQUARES\t4641.706550698727\nF_VALUE\t134.8801584784037\nGMSEP\t1.7416165687323748\nHOCKING_SP\t0.0006431377561107807\nJ_P\t1.7414969151963544\nMODEL_CONVERGED\t1.0\nMODEL_DF\t21.0\nMODEL_F_P_VALUE\t0.0\nMODEL_MEAN_SQUARE\t233.0011593481537\nMODEL_SUM_SQUARES\t4893.024346311227\nNUM_PARAMS\t22.0\nNUM_ROWS\t2709.0\nROOT_MEAN_SQ\t1.314331774292\nR_SQ\t0.5131790712463271\nSBIC\t1632.6987111272683\nVALID_COVARIANCE_MATRIX\t1.0\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_1527983676","id":"20200915-183827_659614494","dateCreated":"2020-04-01T22:17:31+0000","dateStarted":"2020-09-15T22:37:42+0000","dateFinished":"2020-09-15T22:37:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display the coefficients","text":"%python\n\nglm_mod.coef","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:43+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":" name level estimate\n0 (Intercept) None 4.620710\n1 Y_BOX_GAMES None -1.946874\n2 AFFINITY_CARD None 127.971869\n3 CUST_GENDER_F None -0.402099\n4 EDUCATION_< Bach. None -0.228723\n5 OCCUPATION_Exec. None 5974.114331\n6 OCCUPATION_Other None -0.360957\n7 CUST_MARITAL_STATUS_Divorc. None 124.413914\n8 OCCUPATION_Handler None -0.506399\n9 EDUCATION_Profsc None 0.528395\n10 CUST_INCOME_LEVEL_F: 110,000 - 129,999 None -0.267428\n11 OCCUPATION_Transp. None 0.373321\n12 CUST_MARITAL_STATUS_Widowed None 0.342010\n13 CUST_INCOME_LEVEL_A: Below 30,000 None 0.555277\n14 HOUSEHOLD_SIZE_4-5 None -0.355725\n15 EDUCATION_PhD None 0.729161\n16 OCCUPATION_House-s None -1.028326\n17 CUST_YEAR_OF_BIRTH*AFFINITY_CARD None -0.065059\n18 CUST_YEAR_OF_BIRTH*OCCUPATION_Exec. None -6.056116\n19 CUST_YEAR_OF_BIRTH*CUST_MARITAL_STATUS_Divorc. None -0.063288\n20 OCCUPATION_Crafts*EDUCATION_Masters None -4.353282\n21 CUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*OCCUPATI... None 0.001535\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_1576169585","id":"20200915-183827_338484462","dateCreated":"2020-08-17T21:23:56+0000","dateStarted":"2020-09-15T22:37:43+0000","dateFinished":"2020-09-15T22:37:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Make predictions using test data and display results","text":"%python\n\nRES_DF = glm_mod.predict(TEST.drop('YRS_RESIDENCE'), supplemental_cols = TEST)\n\nz.show(RES_DF[['PREDICTION', 'YRS_RESIDENCE'] + RES_DF.columns])","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:43+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PREDICTION":"string","YRS_RESIDENCE":"string","CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PREDICTION\tYRS_RESIDENCE\tCUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\tPREDICTION\n4.27143563955029\t2\t100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\t4.27143563955029\n2.0841569384336807\t2\t101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\t2.0841569384336807\n5.496280188854982\t5\t103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\t5.496280188854982\n2.4451138050702506\t2\t102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\t2.4451138050702506\n4.817396005119761\t4\t100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\t4.817396005119761\n2.0937805299594032\t4\t103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\t2.0937805299594032\n6.188849878882095\t0\t102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\t6.188849878882095\n4.167230377040099\t3\t103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\t4.167230377040099\n3.2022317747854605\t3\t104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\t3.2022317747854605\n5.336590639783026\t5\t101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\t5.336590639783026\n4.39198747959714\t5\t101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\t4.39198747959714\n3.9898880518921436\t1\t101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\t3.9898880518921436\n4.735306248853703\t4\t100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\t4.735306248853703\n4.549017533704358\t5\t102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\t4.549017533704358\n4.620710275658258\t4\t104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\t4.620710275658258\n4.523623312122254\t5\t102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\t4.523623312122254\n3.590225709481263\t5\t102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\t3.590225709481263\n4.620710275658258\t3\t103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\t4.620710275658258\n4.687278710880975\t5\t101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\t4.687278710880975\n4.620710275658258\t4\t103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\t4.620710275658258\n2.6738366011313683\t4\t101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\t2.6738366011313683\n4.42704412240343\t3\t102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\t4.42704412240343\n2.271737173426372\t1\t101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\t2.271737173426372\n4.492102769522802\t3\t103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\t4.492102769522802\n4.198321326342324\t3\t101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\t4.198321326342324\n5.2728065349554925\t5\t103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\t5.2728065349554925\n4.6450993739992725\t5\t103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\t4.6450993739992725\n1.6872893498752615\t2\t102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\t1.6872893498752615\n5.2728065349554925\t5\t100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\t5.2728065349554925\n2.6738366011313683\t3\t101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\t2.6738366011313683\n4.381524184917254\t5\t103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\t4.381524184917254\n4.39198747959714\t2\t103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\t4.39198747959714\n4.620710275658258\t6\t102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\t4.620710275658258\n4.144859466996493\t4\t103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\t4.144859466996493\n4.398011812104102\t3\t103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\t4.398011812104102\n1.7755861055298254\t2\t103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\t1.7755861055298254\n4.2597534090216875\t6\t103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\t4.2597534090216875\n4.114311595632834\t5\t104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\t4.114311595632834\n4.39198747959714\t5\t103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\t4.39198747959714\n5.239259680252559\t10\t102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\t5.239259680252559\n2.3128797344947984\t1\t103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\t2.3128797344947984\n4.9139664446556\t7\t101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\t4.9139664446556\n8.733756193388217\t7\t102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\t8.733756193388217\n2.6738366011313683\t2\t102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\t2.6738366011313683\n5.594278222262773\t7\t103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\t5.594278222262773\n2.449734835758136\t4\t101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\t2.449734835758136\n3.9898880518921436\t5\t102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\t3.9898880518921436\n2.71629578498505\t3\t100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\t2.71629578498505\n5.2728065349554925\t7\t104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\t5.2728065349554925\n4.234703732005073\t4\t100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\t4.234703732005073\n4.620710275658258\t5\t100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n4.765308253166815\t4\t103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\t4.765308253166815\n2.4451138050702506\t3\t104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\t2.4451138050702506\n2.2891380338460294\t3\t101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\t2.2891380338460294\n4.557161416642202\t4\t100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\t4.557161416642202\n3.501928953826699\t3\t103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\t3.501928953826699\n2.3128797344947984\t2\t104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\t2.3128797344947984\n4.620710275658258\t6\t100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\t4.620710275658258\n4.620710275658258\t9\t104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\t4.620710275658258\n2.167437921105945\t1\t103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\t2.167437921105945\n6.019963445685235\t6\t102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\t6.019963445685235\n4.294897496722115\t4\t100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\t4.294897496722115\n4.39198747959714\t6\t101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\t4.39198747959714\n5.8247875043270625\t6\t100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\t5.8247875043270625\n2.6738366011313683\t2\t102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\t2.6738366011313683\n4.887175654444039\t2\t102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\t4.887175654444039\n4.620710275658258\t4\t101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\t4.620710275658258\n4.2597534090216875\t6\t103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\t4.2597534090216875\n2.043014377365254\t0\t101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\t2.043014377365254\n4.005980935943626\t3\t101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\t4.005980935943626\n4.144859466996493\t4\t100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\t4.144859466996493\n3.862885820463269\t7\t102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\t3.862885820463269\n4.620710275658258\t4\t104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\t4.620710275658258\n5.116551671193591\t6\t104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\t5.116551671193591\n4.218610847953261\t3\t102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\t4.218610847953261\n4.03103061296057\t4\t101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\t4.03103061296057\n5.727061623918985\t6\t100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\t5.727061623918985\n1.9107803067898017\t1\t101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\t1.9107803067898017\n4.218610847953261\t3\t100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\t4.218610847953261\n2.4451138050702506\t2\t103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\t2.4451138050702506\n1.9000096492705163\t3\t103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\t1.9000096492705163\n4.218610847953261\t4\t101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\t4.218610847953261\n3.8576539813166915\t4\t100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\t3.8576539813166915\n2.004308901590943\t3\t103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\t2.004308901590943\n5.663158417671838\t5\t101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\t5.663158417671838\n1.7755861055298254\t2\t100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\t1.7755861055298254\n2.6738366011313683\t0\t101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\t2.6738366011313683\n2.6738366011313683\t2\t103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\t2.6738366011313683\n4.620710275658258\t3\t100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\t4.620710275658258\n4.620710275658258\t3\t101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\t4.620710275658258\n2.167437921105945\t2\t102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\t2.167437921105945\n5.267704126988065\t5\t101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\t5.267704126988065\n4.39198747959714\t5\t100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\t4.39198747959714\n2.6738366011313683\t3\t103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\t2.6738366011313683\n4.752337358000361\t4\t102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\t4.752337358000361\n5.759728857207676\t6\t103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\t5.759728857207676\n4.70521916748571\t4\t102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\t4.70521916748571\n1.7653384934009486\t1\t100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\t1.7653384934009486\n5.598099770552437\t5\t101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\t5.598099770552437\n1.5550552792998091\t3\t103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\t1.5550552792998091\n4.39198747959714\t6\t102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\t4.39198747959714\n4.218610847953261\t3\t101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\t4.218610847953261\n4.851395514443539\t5\t103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\t4.851395514443539\n4.647100141957708\t3\t102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\t4.647100141957708\n5.283163195678753\t5\t100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\t5.283163195678753\n2.4451138050702506\t2\t104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\t2.4451138050702506\n1.682057510728684\t1\t102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\t1.682057510728684\n3.9511825761178327\t2\t101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\t3.9511825761178327\n2.004308901590943\t3\t100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\t2.004308901590943\n4.9940310492279325\t4\t100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\t4.9940310492279325\n4.620710275658258\t6\t101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\t4.620710275658258\n1.9107803067898017\t1\t101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\t1.9107803067898017\n2.004308901590943\t1\t102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\t2.004308901590943\n4.2597534090216875\t3\t100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\t4.2597534090216875\n1.7755861055298254\t2\t101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\t1.7755861055298254\n4.618113321060264\t5\t101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\t4.618113321060264\n6.002584879070184\t3\t101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\t6.002584879070184\n4.6921367740078495\t6\t100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\t4.6921367740078495\n6.263821706272211\t6\t100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\t6.263821706272211\n4.875260968881278\t6\t100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\t4.875260968881278\n5.3473331062575795\t6\t103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\t5.3473331062575795\n1.2333886081428602\t3\t101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\t1.2333886081428602\n2.6738366011313683\t4\t100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\t2.6738366011313683\n6.00509498660449\t5\t103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\t6.00509498660449\n4.620710275658258\t5\t100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\t4.620710275658258\n1.682057510728684\t2\t101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\t1.682057510728684\n5.735655528677853\t6\t101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\t5.735655528677853\n5.801201708609597\t7\t101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\t5.801201708609597\n4.444718281383928\t6\t101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\t4.444718281383928\n4.9940310492279325\t5\t104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\t4.9940310492279325\n4.39198747959714\t4\t103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\t4.39198747959714\n5.2395285847286175\t3\t103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\t5.2395285847286175\n4.331898393916036\t3\t101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\t4.331898393916036\n4.263379973461696\t4\t104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\t4.263379973461696\n5.841253267713\t1\t101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\t5.841253267713\n3.7342783143278098\t3\t103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\t3.7342783143278098\n4.5149820797605\t5\t101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\t4.5149820797605\n2.3128797344947984\t3\t103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\t2.3128797344947984\n4.620710275658258\t7\t101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\t4.620710275658258\n4.620710275658258\t3\t103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\t4.620710275658258\n2.6738366011313683\t3\t103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\t2.6738366011313683\n2.043014377365254\t3\t104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\t2.043014377365254\n2.167437921105945\t0\t100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\t2.167437921105945\n4.016695862526831\t4\t103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\t4.016695862526831\n2.004308901590943\t2\t102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\t2.004308901590943\n4.6921367740078495\t4\t100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\t4.6921367740078495\n1.2730940473625907\t3\t103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\t1.2730940473625907\n5.303756435059768\t4\t103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\t5.303756435059768\n4.620710275658258\t8\t101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\t4.620710275658258\n4.557161416642202\t4\t100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\t4.557161416642202\n4.218610847953261\t5\t103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\t4.218610847953261\n5.207747887836106\t5\t101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\t5.207747887836106\n4.620710275658258\t4\t103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\t4.620710275658258\n5.175987536186261\t5\t100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\t5.175987536186261\n4.022779018739698\t4\t102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\t4.022779018739698\n6.451788179803501\t7\t104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\t6.451788179803501\n4.777740329765493\t3\t103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\t4.777740329765493\n4.2597534090216875\t4\t103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\t4.2597534090216875\n3.5551798042987883\t4\t103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\t3.5551798042987883\n2.167437921105945\t2\t102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\t2.167437921105945\n5.012571946477934\t5\t103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\t5.012571946477934\n4.807541898240743\t5\t102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\t4.807541898240743\n0.8117648467660246\t4\t102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\t0.8117648467660246\n5.598099770552437\t3\t101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\t5.598099770552437\n1.2098059610856922\t2\t102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\t1.2098059610856922\n2.6738366011313683\t2\t100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\t2.6738366011313683\n4.144859466996493\t4\t100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\t4.144859466996493\n2.271737173426372\t0\t103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\t2.271737173426372\n4.620710275658258\t2\t101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\t4.620710275658258\n4.231868181045257\t4\t103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\t4.231868181045257\n1.682057510728684\t2\t103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\t1.682057510728684\n2.0841569384336807\t2\t100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\t2.0841569384336807\n4.6222200637615884\t4\t101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\t4.6222200637615884\n1.9107803067898017\t2\t101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\t1.9107803067898017\n4.620710275658258\t4\t100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\t4.620710275658258\n2.271737173426372\t2\t100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\t2.271737173426372\n4.620710275658258\t4\t100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\t4.620710275658258\n1.8946426238020138\t2\t100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\t1.8946426238020138\n1.7755861055298254\t2\t101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\t1.7755861055298254\n2.3128797344947984\t2\t103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\t2.3128797344947984\n5.779999961710928\t9\t101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\t5.779999961710928\n4.620710275658258\t5\t101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\t4.620710275658258\n4.35700064606057\t6\t101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\t4.35700064606057\n5.533041123433051\t5\t104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\t5.533041123433051\n4.687278710880975\t5\t104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\t4.687278710880975\n4.39198747959714\t3\t101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\t4.39198747959714\n3.0003910655982535\t2\t101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\t3.0003910655982535\n4.114311595632834\t3\t102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\t4.114311595632834\n4.293192918141725\t4\t100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\t4.293192918141725\n2.6738366011313683\t1\t104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\t2.6738366011313683\n2.043014377365254\t2\t102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\t2.043014377365254\n2.167437921105945\t2\t103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\t2.167437921105945\n4.775216668238059\t5\t102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\t4.775216668238059\n2.6738366011313683\t2\t100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\t2.6738366011313683\n4.334286821672109\t4\t100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\t4.334286821672109\n5.161964571723885\t6\t102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\t5.161964571723885\n5.286322718631027\t4\t100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\t5.286322718631027\n2.6738366011313683\t1\t103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\t2.6738366011313683\n2.6738366011313683\t1\t100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\t2.6738366011313683\n2.6738366011313683\t3\t102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\t2.6738366011313683\n5.611615954227972\t4\t100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\t5.611615954227972\n4.680085027523106\t6\t102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\t4.680085027523106\n4.620710275658258\t5\t100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\t4.620710275658258\n4.2597534090216875\t4\t101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\t4.2597534090216875\n5.612170267482142\t6\t102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\t5.612170267482142\n2.4451138050702506\t3\t103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\t2.4451138050702506\n1.9107803067898017\t1\t101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\t1.9107803067898017\n3.530750255252329\t3\t101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\t3.530750255252329\n4.620710275658258\t8\t103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\t4.620710275658258\n4.218610847953261\t4\t100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\t4.218610847953261\n5.716469519802573\t6\t101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\t5.716469519802573\n5.654561175927483\t4\t100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\t5.654561175927483\n4.39198747959714\t6\t104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\t4.39198747959714\n4.620710275658258\t3\t100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\t4.620710275658258\n5.33067149871701\t5\t102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\t5.33067149871701\n5.779999961710928\t7\t100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\t5.779999961710928\n2.6738366011313683\t3\t103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\t2.6738366011313683\n5.112952412174806\t6\t103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\t5.112952412174806\n5.369376974491331\t5\t102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\t5.369376974491331\n6.218435678199853\t7\t102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\t6.218435678199853\n2.271737173426372\t0\t103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\t2.271737173426372\n2.6738366011313683\t2\t103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\t2.6738366011313683\n4.331898393916036\t7\t100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\t4.331898393916036\n4.620710275658258\t3\t102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\t4.620710275658258\n5.116312797217688\t6\t102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\t5.116312797217688\n4.39198747959714\t4\t101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\t4.39198747959714\n2.4451138050702506\t3\t102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\t2.4451138050702506\n4.557161416642202\t4\t104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\t4.557161416642202\n4.970392609596232\t5\t102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\t4.970392609596232\n5.1742010331331585\t6\t104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\t5.1742010331331585\n4.218610847953261\t4\t102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\t4.218610847953261\n2.043014377365254\t1\t103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\t2.043014377365254\n2.3128797344947984\t3\t100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\t2.3128797344947984\n2.271737173426372\t2\t102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\t2.271737173426372\n5.9233930061493965\t10\t101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\t5.9233930061493965\n6.966099998746515\t8\t103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\t6.966099998746515\n4.634676530024862\t4\t101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\t4.634676530024862\n3.634163024402151\t3\t101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\t3.634163024402151\n4.620710275658258\t3\t101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\t4.620710275658258\n5.175987536186261\t3\t101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\t5.175987536186261\n5.467982476313665\t6\t103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\t5.467982476313665\n3.501928953826699\t9\t101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\t3.501928953826699\n4.965118441718914\t6\t100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\t4.965118441718914\n5.533041123433051\t8\t100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\t5.533041123433051\n4.39198747959714\t6\t102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\t4.39198747959714\n2.6738366011313683\t4\t100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\t2.6738366011313683\n7.289624595656591\t4\t103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\t7.289624595656591\n5.533041123433051\t8\t103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\t5.533041123433051\n3.8855887995717167\t4\t101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\t3.8855887995717167\n4.2597534090216875\t5\t101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\t4.2597534090216875\n4.620710275658258\t5\t101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\t2.6738366011313683\n4.39198747959714\t6\t100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\t4.39198747959714\n4.081571380719595\t4\t103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\t4.081571380719595\n2.6738366011313683\t2\t102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\t2.6738366011313683\n6.567015512726357\t7\t103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\t6.567015512726357\n4.9940310492279325\t4\t102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\t4.9940310492279325\n4.620710275658258\t4\t102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\t4.620710275658258\n1.9000096492705163\t2\t104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\t1.9000096492705163\n6.7412745937570975\t9\t100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\t6.7412745937570975\n4.245000714253365\t3\t102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\t4.245000714253365\n1.6638030514042157\t3\t101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\t1.6638030514042157\n5.012571946477934\t6\t100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\t5.012571946477934\n4.841028416042391\t5\t101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\t4.841028416042391\n4.620710275658258\t3\t100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\t4.620710275658258\n3.9294542556859824\t4\t100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\t3.9294542556859824\n4.620710275658258\t5\t104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\t4.620710275658258\n2.0841569384336807\t2\t100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\t2.0841569384336807\n4.560621189977153\t4\t103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\t4.560621189977153\n4.620710275658258\t4\t104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\t4.620710275658258\n3.959886047579033\t4\t103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\t3.959886047579033\n8.867940735848606\t9\t101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\t8.867940735848606\n4.27143563955029\t4\t100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\t4.27143563955029\n2.043014377365254\t3\t104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\t2.043014377365254\n5.533041123433051\t5\t102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\t5.533041123433051\n3.047157374701043\t4\t103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\t3.047157374701043\n4.018283294442696\t4\t104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\t4.018283294442696\n4.144765477186269\t6\t103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\t4.144765477186269\n4.620710275658258\t6\t103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\t4.620710275658258\n4.620710275658258\t4\t102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\t4.620710275658258\n1.9107803067898017\t2\t103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\t1.9107803067898017\n5.906361897002725\t6\t104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\t5.906361897002725\n4.2597534090216875\t6\t101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\t4.2597534090216875\n5.898526350753855\t7\t103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\t5.898526350753855\n5.012571946477934\t5\t102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\t5.012571946477934\n3.9511825761178327\t5\t101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\t3.9511825761178327\n4.882454652239147\t4\t100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\t4.882454652239147\n2.6738366011313683\t3\t103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\t2.6738366011313683\n4.620710275658258\t8\t100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\t4.620710275658258\n4.719768432100864\t6\t100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\t4.719768432100864\n5.402923829194265\t6\t104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\t5.402923829194265\n5.402923829194265\t6\t101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\t5.402923829194265\n4.719768432100864\t6\t103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\t4.719768432100864\n2.6738366011313683\t3\t100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\t2.6738366011313683\n1.816728666598252\t2\t101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\t1.816728666598252\n4.882454652239147\t4\t103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\t4.882454652239147\n5.179839757470489\t5\t102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\t5.179839757470489\n4.9940310492279325\t6\t100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\t4.9940310492279325\n2.0841569384336807\t2\t103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\t2.0841569384336807\n2.021709762010687\t3\t101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\t2.021709762010687\n2.6738366011313683\t2\t101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\t2.6738366011313683\n2.271737173426372\t1\t103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\t2.271737173426372\n6.118568947507569\t6\t101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\t6.118568947507569\n4.361550770931544\t3\t101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\t4.361550770931544\n3.3035721201152217\t4\t100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\t3.3035721201152217\n4.9940310492279325\t6\t100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\t4.9940310492279325\n4.39198747959714\t6\t101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\t4.39198747959714\n4.2597534090216875\t4\t103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\t4.2597534090216875\n7.3244326792294885\t10\t101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\t7.3244326792294885\n4.557161416642202\t4\t102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\t4.557161416642202\n2.3128797344947984\t0\t104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\t2.3128797344947984\n4.597113920339325\t5\t101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\t4.597113920339325\n2.271737173426372\t3\t103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\t2.271737173426372\n4.2597534090216875\t3\t102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\t4.2597534090216875\n1.6872893498752615\t3\t102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\t1.6872893498752615\n4.218610847953261\t4\t103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\t4.218610847953261\n4.384864785521714\t4\t103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\t4.384864785521714\n5.175987536186261\t6\t100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\t5.175987536186261\n2.081523652998186\t1\t101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\t2.081523652998186\n4.114311595632834\t3\t101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\t4.114311595632834\n2.271737173426372\t3\t102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\t2.271737173426372\n4.620710275658258\t4\t104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\t4.620710275658258\n2.6738366011313683\t3\t104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\t2.6738366011313683\n2.4451138050702506\t3\t102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\t2.4451138050702506\n2.2199358593989587\t4\t103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\t2.2199358593989587\n2.271737173426372\t0\t103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\t2.271737173426372\n4.167230377040099\t3\t100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\t4.167230377040099\n1.9107803067898017\t3\t103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\t1.9107803067898017\n5.175987536186261\t5\t101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\t5.175987536186261\n4.800111239809098\t4\t104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\t4.800111239809098\n4.675593706258155\t4\t103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\t4.675593706258155\n4.549017533704358\t5\t100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\t4.549017533704358\n4.933941963546828\t4\t103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\t4.933941963546828\n4.353282003822829\t4\t100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\t4.353282003822829\n3.862885820463269\t4\t103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\t3.862885820463269\n4.9940310492279325\t8\t103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\t4.9940310492279325\n4.9940310492279325\t8\t101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\t4.9940310492279325\n4.6150263804037195\t4\t103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\t4.6150263804037195\n2.271737173426372\t2\t100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\t2.271737173426372\n4.965118441718914\t6\t103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\t4.965118441718914\n4.39198747959714\t6\t101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\t4.39198747959714\n3.862885820463269\t4\t100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\t3.862885820463269\n2.271737173426372\t2\t100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\t2.271737173426372\n4.620710275658258\t7\t103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\t4.620710275658258\n2.6738366011313683\t1\t103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\t2.6738366011313683\n3.9549952081657977\t3\t101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\t3.9549952081657977\n5.552156053897306\t6\t100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\t5.552156053897306\n4.620710275658258\t3\t102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\t4.620710275658258\n5.552156053897306\t6\t103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\t5.552156053897306\n4.67729504017916\t4\t101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\t4.67729504017916\n5.779999961710928\t5\t101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\t5.779999961710928\n4.208147553273392\t4\t102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\t4.208147553273392\n2.043014377365254\t2\t104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\t2.043014377365254\n4.9139664446556\t2\t100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\t4.9139664446556\n6.218435678199853\t8\t103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\t6.218435678199853\n7.69669358479986\t10\t102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\t7.69669358479986\n4.2597534090216875\t7\t100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\t4.2597534090216875\n5.51974447550856\t5\t104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\t5.51974447550856\n4.2597534090216875\t4\t101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\t4.2597534090216875\n1.682057510728684\t1\t100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\t1.682057510728684\n4.557161416642202\t4\t103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\t4.557161416642202\n4.870707107250496\t5\t102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\t4.870707107250496\n5.304318327371945\t6\t100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\t5.304318327371945\n2.167437921105945\t2\t101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\t2.167437921105945\n5.304318327371945\t8\t101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\t5.304318327371945\n5.284045019980681\t4\t104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\t5.284045019980681\n5.012571946477934\t5\t102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\t5.012571946477934\n2.4451138050702506\t3\t100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\t2.4451138050702506\n2.6738366011313683\t3\t103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\t2.6738366011313683\n4.2597534090216875\t5\t100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\t4.2597534090216875\n1.9160121459363793\t2\t102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\t1.9160121459363793\n4.620710275658258\t3\t102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\t4.620710275658258\n5.759728857207676\t6\t100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\t5.759728857207676\n8.229604852908324\t7\t100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\t8.229604852908324\n3.9898880518921436\t5\t103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\t3.9898880518921436\n4.2585633516509915\t4\t103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\t4.2585633516509915\n4.353282003822829\t4\t100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\t4.353282003822829\n3.9511825761178327\t5\t100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\t3.9511825761178327\n7.433258073570897\t10\t102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\t7.433258073570897\n5.2395285847286175\t3\t100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\t5.2395285847286175\n2.733429381838505\t3\t101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\t2.733429381838505\n4.6222200637615884\t4\t103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\t4.6222200637615884\n4.765308253166815\t4\t102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\t4.765308253166815\n4.218610847953261\t3\t100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\t4.218610847953261\n4.818657233989711\t5\t101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\t4.818657233989711\n5.207747887836106\t5\t103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\t5.207747887836106\n4.620710275658258\t2\t102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\t4.620710275658258\n3.6268639991974965\t4\t102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\t3.6268639991974965\n6.423230572964869\t2\t102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\t6.423230572964869\n3.9945129028053685\t5\t101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\t3.9945129028053685\n2.6738366011313683\t3\t100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\t2.6738366011313683\n4.246865116608205\t4\t103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\t4.246865116608205\n3.1902845741524475\t2\t100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\t3.1902845741524475\n2.6738366011313683\t2\t103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\t2.6738366011313683\n2.271737173426372\t2\t100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\t2.271737173426372\n2.6738366011313683\t3\t103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\t2.6738366011313683\n4.818657233989711\t5\t104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\t4.818657233989711\n4.620710275658258\t7\t104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\t4.620710275658258\n2.3128797344947984\t3\t102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\t2.3128797344947984\n2.043014377365254\t2\t103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\t2.043014377365254\n3.9294542556859824\t3\t103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\t3.9294542556859824\n4.688539939750939\t6\t102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\t4.688539939750939\n2.167437921105945\t2\t102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\t2.167437921105945\n4.353282003822829\t3\t102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\t4.353282003822829\n2.271737173426372\t1\t100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\t2.271737173426372\n5.337865182074879\t6\t101557\tM\tMarried\t1956\tK: 250,000 - 299,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\t5.337865182074879\n4.042712843489156\t4\t100375\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\t< Bach.\t0\t9+\tCleric.\t4\t0\t4.042712843489156\n3.7357171131487235\t3\t102204\tM\tMarried\t1973\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tSales\t3\t0\t3.7357171131487235\n4.620710275658258\t7\t101489\tM\tMarried\t1944\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tSales\t7\t0\t4.620710275658258\n4.620710275658258\t3\t103638\tM\tNeverM\t1969\tE: 90,000 - 109,999\t10000\tBach.\t0\t9+\tCrafts\t3\t0\t4.620710275658258\n4.612827900983575\t4\t101152\tM\tNeverM\t1961\tE: 90,000 - 109,999\t5000\t< Bach.\t0\t2\tExec.\t4\t0\t4.612827900983575\n5.283163195678753\t5\t103194\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t9+\tExec.\t5\t0\t5.283163195678753\n5.663158417671838\t7\t102910\tM\tMarried\t1951\tG: 130,000 - 149,999\t10000\tBach.\t1\t3\tSales\t7\t0\t5.663158417671838\n2.6738366011313683\t3\t100204\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t3\t1\t2.6738366011313683\n4.620710275658258\t4\t103515\tM\tMarried\t1968\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t3\tCrafts\t4\t0\t4.620710275658258\n4.620710275658258\t5\t102903\tM\tMarried\t1953\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tMachine\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t102095\tM\tNeverM\t1976\tI: 170,000 - 189,999\t9000\tAssoc-V\t0\t6-8\tCrafts\t3\t1\t2.6738366011313683\n4.777740329765493\t3\t100366\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tTechSup\t3\t0\t4.777740329765493\n1.4146292388932553\t2\t102954\tF\tNeverM\t1982\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\t1.4146292388932553\n3.9549952081657977\t4\t101264\tF\tDivorc.\t1970\tJ: 190,000 - 249,999\t15000\tAssoc-A\t0\t2\tSales\t4\t0\t3.9549952081657977\n2.4451138050702506\t1\t103899\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tCrafts\t1\t1\t2.4451138050702506\n1.8946426238020138\t2\t101347\tM\tMarried\t1979\tL: 300,000 and above\t15000\tBach.\t1\t3\tProf.\t2\t1\t1.8946426238020138\n5.936909189824931\t7\t104018\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tPhD\t1\t3\tProf.\t7\t0\t5.936909189824931\n4.508100357471065\t5\t103661\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t5\t0\t4.508100357471065\n4.848907797536214\t4\t101075\tM\tMarried\t1960\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t4\t0\t4.848907797536214\n4.620710275658258\t4\t102294\tM\tMarried\t1966\tJ: 190,000 - 249,999\t15000\t5th-6th\t0\t3\tMachine\t4\t0\t4.620710275658258\n1.9107803067898017\t3\t100347\tF\tNeverM\t1974\tK: 250,000 - 299,999\t11000\t5th-6th\t0\t6-8\tOther\t3\t1\t1.9107803067898017\n2.818434578639925\t3\t101531\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t3\t1\t2.818434578639925\n4.2597534090216875\t5\t102490\tM\tMarried\t1950\tI: 170,000 - 189,999\t10000\t5th-6th\t0\t3\tOther\t5\t0\t4.2597534090216875\n2.3128797344947984\t3\t101810\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t3\t1\t2.3128797344947984\n2.6738366011313683\t2\t102921\tM\tMarried\t1979\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tSales\t2\t1\t2.6738366011313683\n4.218610847953261\t6\t103826\tF\tNeverM\t1959\tL: 300,000 and above\t7000\tBach.\t0\t2\tProf.\t6\t0\t4.218610847953261\n2.3128797344947984\t2\t102094\tM\tMabsent\t1981\tL: 300,000 and above\t9000\t9th\t0\t6-8\tOther\t2\t1\t2.3128797344947984\n1.9160121459363793\t2\t102229\tF\tMarried\t1979\tL: 300,000 and above\t9000\tHS-grad\t0\t4-5\t?\t2\t1\t1.9160121459363793\n4.865423543092476\t7\t104147\tM\tMarried\t1969\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t7\t0\t4.865423543092476\n4.2597534090216875\t4\t101534\tM\tMarried\t1965\tE: 90,000 - 109,999\t3000\tAssoc-A\t0\t3\tOther\t4\t0\t4.2597534090216875\n1.9107803067898017\t3\t102621\tF\tNeverM\t1974\tL: 300,000 and above\t11000\t5th-6th\t0\t1\tOther\t3\t1\t1.9107803067898017\n4.9940310492279325\t5\t100221\tM\tSepar.\t1967\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\tTransp.\t5\t0\t4.9940310492279325\n4.114311595632834\t3\t103013\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\t4.114311595632834\n4.719768432100864\t5\t104173\tM\tNeverM\t1965\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tExec.\t5\t0\t4.719768432100864\n4.6592591405274675\t5\t104039\tM\tDivorc.\t1961\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\t4.6592591405274675\n6.491889721077243\t6\t102062\tM\tMarried\t1944\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\t6.491889721077243\n4.557161416642202\t4\t102368\tM\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t3\tTechSup\t4\t0\t4.557161416642202\n4.39198747959714\t7\t104487\tM\tMarried\t1954\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tSales\t7\t0\t4.39198747959714\n2.024759918040786\t3\t101837\tM\tMarried\t1977\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tMachine\t3\t1\t2.024759918040786\n4.353282003822829\t5\t101406\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCleric.\t5\t0\t4.353282003822829\n2.6738366011313683\t1\t103087\tM\tNeverM\t1984\tG: 130,000 - 149,999\t3000\t12th\t0\t1\t?\t1\t1\t2.6738366011313683\n4.620710275658258\t4\t104255\tM\tMarried\t1923\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t3\tCrafts\t4\t0\t4.620710275658258\n4.952357851112538\t5\t101321\tF\tWidowed\t1957\tH: 150,000 - 169,999\t11000\tMasters\t0\t9+\tExec.\t5\t0\t4.952357851112538\n4.9940310492279325\t3\t100718\tM\tMarried\t1970\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tTransp.\t3\t0\t4.9940310492279325\n3.9898880518921436\t6\t101231\tF\tMabsent\t1948\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tCleric.\t6\t0\t3.9898880518921436\n5.33067149871701\t5\t102651\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tProf.\t5\t0\t5.33067149871701\n3.634163024402151\t0\t101271\tF\tMarried\t1969\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t4-5\t?\t0\t0\t3.634163024402151\n5.467982476313665\t5\t103251\tM\tMarried\t1954\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t3\tCrafts\t5\t0\t5.467982476313665\n1.5018168434237111\t3\t102758\tF\tDivorc.\t1978\tI: 170,000 - 189,999\t11000\tAssoc-V\t0\t9+\tCleric.\t3\t1\t1.5018168434237111\n2.6738366011313683\t3\t102005\tM\tMarried\t1974\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\t2.6738366011313683\n5.014405047686253\t5\t100328\tM\tDivorc.\t1956\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t2\tCrafts\t5\t0\t5.014405047686253\n3.634163024402151\t4\t100077\tF\tMarried\t1959\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t4-5\tCleric.\t4\t0\t3.634163024402151\n3.4383800948106398\t4\t101592\tF\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tOther\t4\t0\t3.4383800948106398\n1.6226604903357895\t3\t101924\tF\tNeverM\t1977\tI: 170,000 - 189,999\t3000\tBach.\t1\t1\tCleric.\t3\t1\t1.6226604903357895\n4.620710275658258\t6\t102017\tM\tNeverM\t1939\tC: 50,000 - 69,999\t5000\t9th\t0\t6-8\tCleric.\t6\t0\t4.620710275658258\n4.6222200637615884\t4\t100192\tM\tMarried\t1967\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tProf.\t4\t0\t4.6222200637615884\n5.467982476313665\t5\t100471\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t5\t0\t5.467982476313665\n4.114311595632834\t5\t102976\tM\tNeverM\t1968\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t1\tHandler\t5\t0\t4.114311595632834\n4.39198747959714\t8\t102183\tM\tMarried\t1956\tE: 90,000 - 109,999\t5000\t< Bach.\t0\t3\tProf.\t8\t0\t4.39198747959714\n4.293806549593896\t3\t101029\tM\tDivorc.\t1971\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tMachine\t3\t0\t4.293806549593896\n4.620710275658258\t5\t101452\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t102705\tM\tMarried\t1974\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tProtec.\t3\t1\t2.6738366011313683\n1.682057510728684\t2\t103407\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\t1.682057510728684\n4.620710275658258\t5\t103635\tM\tMarried\t1952\tL: 300,000 and above\t9000\t9th\t0\t3\tFarming\t5\t0\t4.620710275658258\n4.620710275658258\t5\t102811\tM\tMarried\t1952\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tCrafts\t5\t0\t4.620710275658258\n3.558685073507334\t3\t104376\tM\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t9+\tHandler\t3\t0\t3.558685073507334\n2.6738366011313683\t3\t102446\tM\tMarried\t1976\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t3\t1\t2.6738366011313683\n1.9107803067898017\t3\t103649\tF\tNeverM\t1974\tK: 250,000 - 299,999\t7000\t5th-6th\t0\t6-8\tOther\t3\t1\t1.9107803067898017\n2.4451138050702506\t2\t101423\tM\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\t2.4451138050702506\n2.6738366011313683\t3\t104017\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t10th\t0\t2\tSales\t3\t1\t2.6738366011313683\n4.620710275658258\t3\t100072\tM\tMabsent\t1971\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t6-8\tCrafts\t3\t0\t4.620710275658258\n2.167437921105945\t2\t100787\tM\tMarried\t1980\tE: 90,000 - 109,999\t7000\t5th-6th\t0\t3\tHandler\t2\t1\t2.167437921105945\n4.114311595632834\t6\t104052\tM\tSepar.\t1957\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tHandler\t6\t0\t4.114311595632834\n4.770750734865032\t5\t101332\tF\tNeverM\t1954\tH: 150,000 - 169,999\t10000\tAssoc-V\t0\t9+\tExec.\t5\t0\t4.770750734865032\n2.6738366011313683\t3\t104161\tM\tNeverM\t1975\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tCrafts\t3\t1\t2.6738366011313683\n2.4064083292959397\t2\t100050\tM\tNeverM\t1979\tF: 110,000 - 129,999\t1500\t12th\t0\t9+\tMachine\t2\t1\t2.4064083292959397\n4.620710275658258\t4\t103561\tM\tMarried\t1960\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tFarming\t4\t0\t4.620710275658258\n4.560621189977153\t9\t102051\tF\tWidowed\t1944\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t9\t0\t4.560621189977153\n5.142689240716706\t7\t103550\tM\tMarried\t1959\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCrafts\t7\t0\t5.142689240716706\n4.620710275658258\t2\t103775\tM\tMarried\t1934\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t3\tSales\t2\t0\t4.620710275658258\n2.271737173426372\t2\t101241\tF\tNeverM\t1983\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t2\t1\t2.271737173426372\n2.4064083292959397\t1\t102925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t6-8\tCleric.\t1\t1\t2.4064083292959397\n1.5651049297006097\t4\t101303\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\t1.5651049297006097\n4.9940310492279325\t5\t104132\tM\tNeverM\t1968\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\t4.9940310492279325\n2.4064083292959397\t1\t104079\tM\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t11th\t0\t1\tCleric.\t1\t1\t2.4064083292959397\n5.889846151446463\t9\t101607\tM\tSepar.\t1944\tG: 130,000 - 149,999\t1500\t< Bach.\t1\t2\tSales\t9\t0\t5.889846151446463\n4.353282003822829\t5\t103333\tM\tMarried\t1934\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tTechSup\t5\t0\t4.353282003822829\n4.620710275658258\t5\t100999\tM\tMarried\t1951\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t5\t0\t4.620710275658258\n4.670247601734303\t5\t100777\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\t4.670247601734303\n4.218610847953261\t4\t100539\tF\tNeverM\t1970\tH: 150,000 - 169,999\t10000\tMasters\t0\t2\tProf.\t4\t0\t4.218610847953261\n4.620710275658258\t7\t102785\tM\tMarried\t1946\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t3\tCleric.\t7\t0\t4.620710275658258\n3.501928953826699\t2\t102193\tF\tMarried\t1960\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t4-5\tOther\t2\t0\t3.501928953826699\n5.402923829194265\t5\t103722\tM\tMarried\t1955\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tMachine\t5\t0\t5.402923829194265\n5.142689240716706\t4\t100173\tM\tMarried\t1959\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tProf.\t4\t0\t5.142689240716706\n4.6969969244264576\t5\t102830\tM\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t0\t6-8\tExec.\t5\t0\t4.6969969244264576\n4.620710275658258\t3\t104413\tM\tMarried\t1944\tL: 300,000 and above\t15000\tMasters\t0\t3\t?\t3\t0\t4.620710275658258\n1.9160121459363793\t3\t104473\tF\tMarried\t1976\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tProtec.\t3\t1\t1.9160121459363793\n4.7858353130812645\t4\t100789\tM\tDivorc.\t1959\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t9+\tCrafts\t4\t0\t4.7858353130812645\n4.218610847953261\t2\t102982\tF\tNeverM\t1970\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t2\t0\t4.218610847953261\n4.484909086164933\t4\t101339\tM\tNeverM\t1965\tF: 110,000 - 129,999\t1500\tMasters\t1\t2\tProf.\t4\t0\t4.484909086164933\n5.846964018777726\t7\t101732\tF\tWidowed\t1944\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tExec.\t7\t0\t5.846964018777726\n5.799598212228275\t6\t102142\tM\tMarried\t1956\tF: 110,000 - 129,999\t10000\tPhD\t1\t3\tProf.\t6\t0\t5.799598212228275\n4.6222200637615884\t4\t100655\tM\tMarried\t1967\tL: 300,000 and above\t15000\tHS-grad\t1\t3\tSales\t4\t0\t4.6222200637615884\n5.85959558789996\t5\t104461\tM\tMarried\t1953\tA: Below 30,000\t3000\t< Bach.\t1\t3\tFarming\t5\t0\t5.85959558789996\n2.6738366011313683\t3\t100654\tM\tMarried\t1975\tD: 70,000 - 89,999\t9000\tHS-grad\t0\t3\tMachine\t3\t1\t2.6738366011313683\n4.42704412240343\t3\t100039\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\tAssoc-A\t1\t3\tProf.\t3\t0\t4.42704412240343\n2.2199358593989587\t3\t101889\tM\tMarried\t1974\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t3\t1\t2.2199358593989587\n5.779999961710928\t7\t103511\tM\tMarried\t1956\tB: 30,000 - 49,999\t5000\tBach.\t1\t3\tExec.\t7\t0\t5.779999961710928\n2.271737173426372\t1\t102807\tF\tNeverM\t1983\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\t?\t1\t1\t2.271737173426372\n5.07763059359732\t4\t104287\tM\tMarried\t1960\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tCrafts\t4\t0\t5.07763059359732\n4.678804828282409\t5\t100156\tM\tMarried\t1967\tG: 130,000 - 149,999\t10000\tHS-grad\t1\t3\tExec.\t5\t0\t4.678804828282409\n2.004308901590943\t3\t101278\tF\tNeverM\t1975\tF: 110,000 - 129,999\t5000\t11th\t0\t9+\tMachine\t3\t1\t2.004308901590943\n4.9940310492279325\t5\t103176\tM\tSepar.\t1967\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\tTransp.\t5\t0\t4.9940310492279325\n4.246865116608205\t4\t100166\tF\tMarried\t1961\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t4-5\tExec.\t4\t0\t4.246865116608205\n4.865423543092476\t7\t101042\tM\tMarried\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tTransp.\t7\t0\t4.865423543092476\n2.6738366011313683\t3\t102145\tM\tNeverM\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t3\t1\t2.6738366011313683\n2.3128797344947984\t2\t103032\tM\tNeverM\t1980\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tOther\t2\t1\t2.3128797344947984\n2.6738366011313683\t3\t103853\tM\tNeverM\t1974\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t3\t1\t2.6738366011313683\n4.620710275658258\t5\t100333\tM\tMarried\t1952\tL: 300,000 and above\t11000\t9th\t0\t3\tFarming\t5\t0\t4.620710275658258\n5.041966962557694\t5\t101214\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t5\t0\t5.041966962557694\n2.6738366011313683\t6\t104029\tM\tMarried\t1978\tL: 300,000 and above\t9000\t1st-4th\t0\t3\tFarming\t6\t1\t2.6738366011313683\n4.114311595632834\t3\t103263\tM\tMabsent\t1969\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHandler\t3\t0\t4.114311595632834\n2.4451138050702506\t1\t102973\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t1\t1\t2.4451138050702506\n2.3128797344947984\t2\t100257\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tOther\t2\t1\t2.3128797344947984\n4.620710275658258\t5\t103410\tM\tMarried\t1957\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tMachine\t5\t0\t4.620710275658258\n4.653431298233045\t4\t100900\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tExec.\t4\t0\t4.653431298233045\n4.2597534090216875\t6\t101119\tM\tMarried\t1952\tL: 300,000 and above\t11000\t1st-4th\t0\t3\tOther\t6\t0\t4.2597534090216875\n2.4064083292959397\t4\t100329\tM\tNeverM\t1979\tF: 110,000 - 129,999\t1500\t10th\t0\t9+\tCrafts\t4\t1\t2.4064083292959397\n5.564552915849504\t8\t101266\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tProf.\t8\t0\t5.564552915849504\n7.419741889895377\t8\t100679\tM\tMarried\t1924\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\t?\t8\t0\t7.419741889895377\n4.620710275658258\t1\t101860\tM\tMarried\t1946\tK: 250,000 - 299,999\t15000\t10th\t0\t3\tCrafts\t1\t0\t4.620710275658258\n4.218610847953261\t4\t100615\tF\tMabsent\t1955\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t9+\t?\t4\t0\t4.218610847953261\n2.043014377365254\t2\t100725\tF\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tSales\t2\t1\t2.043014377365254\n3.992325137186259\t5\t100394\tM\tMarried\t1954\tF: 110,000 - 129,999\t7000\t9th\t0\t3\tOther\t5\t0\t3.992325137186259\n4.610246980978388\t5\t101884\tM\tDivorc.\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t5\t0\t4.610246980978388\n4.882454652239147\t6\t101824\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t6\t0\t4.882454652239147\n4.263379973461696\t3\t103699\tM\tMarried\t1969\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProtec.\t3\t0\t4.263379973461696\n4.2597534090216875\t7\t101757\tM\tMabsent\t1951\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tOther\t7\t0\t4.2597534090216875\n1.682057510728684\t1\t103574\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t1\t1\t1.682057510728684\n4.851395514443539\t7\t101559\tM\tMarried\t1965\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\t4.851395514443539\n2.043014377365254\t2\t100820\tF\tNeverM\t1980\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t1\tMachine\t2\t1\t2.043014377365254\n4.620710275658258\t4\t104465\tM\tMarried\t1960\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tMachine\t4\t0\t4.620710275658258\n3.2022317747854605\t4\t102577\tM\tNeverM\t1974\tI: 170,000 - 189,999\t5000\tProfsc\t0\t6-8\tProf.\t4\t1\t3.2022317747854605\n4.620710275658258\t6\t102027\tM\tNeverM\t1956\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t6-8\tTechSup\t6\t0\t4.620710275658258\n4.1060009297660685\t4\t104491\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tCleric.\t4\t0\t4.1060009297660685\n4.359059285063424\t5\t102702\tF\tDivorc.\t1952\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t2\tHandler\t5\t0\t4.359059285063424\n4.620710275658258\t4\t100764\tM\tSepar.\t1966\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\t4.620710275658258\n2.6738366011313683\t1\t102339\tM\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t10th\t0\t2\tCrafts\t1\t1\t2.6738366011313683\n5.060599484450648\t6\t103004\tM\tMarried\t1966\tD: 70,000 - 89,999\t10000\t9th\t1\t3\tTransp.\t6\t0\t5.060599484450648\n5.402923829194265\t5\t100420\tM\tMarried\t1955\tG: 130,000 - 149,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\t5.402923829194265\n2.71629578498505\t3\t101293\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t3\t1\t2.71629578498505\n3.992325137186259\t4\t103947\tM\tMarried\t1962\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\t3.992325137186259\n2.6738366011313683\t3\t100877\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tSales\t3\t1\t2.6738366011313683\n5.898526350753855\t7\t104346\tM\tMarried\t1955\tC: 50,000 - 69,999\t3000\tBach.\t1\t3\tExec.\t7\t0\t5.898526350753855\n2.043014377365254\t3\t103243\tF\tNeverM\t1974\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tSales\t3\t1\t2.043014377365254\n4.610246980978388\t4\t101081\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\t4.610246980978388\n2.043014377365254\t2\t102692\tF\tNeverM\t1982\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\t2.043014377365254\n4.408102894056896\t4\t102155\tF\tNeverM\t1960\tF: 110,000 - 129,999\t10000\tHS-grad\t1\t9+\tCleric.\t4\t0\t4.408102894056896\n5.9233930061493965\t10\t104424\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\t5.9233930061493965\n5.79327571191061\t5\t101578\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\tHS-grad\t1\t3\tCrafts\t5\t0\t5.79327571191061\n4.747006021607353\t4\t101512\tF\tNeverM\t1973\tI: 170,000 - 189,999\t1500\tProfsc\t0\t2\tProf.\t4\t0\t4.747006021607353\n4.2597534090216875\t5\t101933\tM\tNeverM\t1958\tI: 170,000 - 189,999\t3000\t9th\t0\t1\tOther\t5\t0\t4.2597534090216875\n5.878067345519241\t7\t104423\tF\tDivorc.\t1936\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCleric.\t7\t0\t5.878067345519241\n4.620710275658258\t11\t101151\tM\tMabsent\t1950\tJ: 190,000 - 249,999\t9000\t9th\t0\t9+\tMachine\t11\t0\t4.620710275658258\n1.9160121459363793\t1\t101575\tF\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t4-5\t?\t1\t1\t1.9160121459363793\n4.620710275658258\t11\t104026\tM\tMabsent\t1950\tJ: 190,000 - 249,999\t9000\t9th\t0\t9+\tMachine\t11\t0\t4.620710275658258\n2.271737173426372\t1\t103454\tF\tSepar.\t1977\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tSales\t1\t1\t2.271737173426372\n5.564552915849504\t8\t103931\tM\tMarried\t1949\tI: 170,000 - 189,999\t5000\t< Bach.\t1\t3\tProf.\t8\t0\t5.564552915849504\n4.218610847953261\t2\t103542\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tSales\t2\t0\t4.218610847953261\n6.40671850511626\t5\t100404\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\t6.40671850511626\n4.660745627589677\t6\t101563\tF\tNeverM\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tExec.\t6\t0\t4.660745627589677\n4.620710275658258\t5\t102298\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCleric.\t5\t0\t4.620710275658258\n2.6738366011313683\t2\t102530\tM\tNeverM\t1980\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t2\tCrafts\t2\t1\t2.6738366011313683\n4.198321326342324\t3\t104045\tM\tMarried\t1970\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t3\t0\t4.198321326342324\n5.215673884535079\t4\t100607\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\t5.215673884535079\n4.218610847953261\t5\t103725\tF\tSepar.\t1956\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t6-8\tProf.\t5\t0\t4.218610847953261\n4.218610847953261\t3\t101619\tF\tNeverM\t1964\tJ: 190,000 - 249,999\t11000\t11th\t0\t9+\tProf.\t3\t0\t4.218610847953261\n2.6738366011313683\t1\t103592\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t1\tSales\t1\t1\t2.6738366011313683\n3.8576539813166915\t5\t102061\tF\tSepar.\t1953\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tOther\t5\t0\t3.8576539813166915\n4.1245592077617115\t4\t103520\tM\tMarried\t1945\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t3\t?\t4\t0\t4.1245592077617115\n3.3733214476912394\t3\t100940\tF\tMarried\t1969\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t4-5\tOther\t3\t0\t3.3733214476912394\n4.620710275658258\t5\t102030\tM\tMarried\t1965\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tMachine\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t103030\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tBach.\t0\t1\tCleric.\t3\t1\t2.6738366011313683\n6.457378366780048\t5\t101972\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\tPhD\t1\t3\tProf.\t5\t0\t6.457378366780048\n3.6817559768525854\t4\t102787\tF\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\t3.6817559768525854\n4.293192918141725\t4\t103597\tF\tWidowed\t1962\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tSales\t4\t0\t4.293192918141725\n4.620710275658258\t4\t102580\tM\tMarried\t1972\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t3\tMachine\t4\t0\t4.620710275658258\n4.328438620581096\t4\t102719\tM\tMarried\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tProf.\t4\t0\t4.328438620581096\n4.798873634457777\t5\t104222\tF\tNeverM\t1950\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t2\tExec.\t5\t0\t4.798873634457777\n2.6738366011313683\t3\t100175\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t3\t1\t2.6738366011313683\n1.7297485337294347\t1\t103335\tF\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t4-5\tExec.\t1\t1\t1.7297485337294347\n4.620710275658258\t3\t102936\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tCrafts\t3\t0\t4.620710275658258\n6.865061171338311\t5\t102310\tM\tNeverM\t1951\tF: 110,000 - 129,999\t7000\tPhD\t1\t2\tExec.\t5\t0\t6.865061171338311\n5.3360413912518245\t5\t104296\tM\tWidowed\t1952\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t9+\tTransp.\t5\t0\t5.3360413912518245\n2.271737173426372\t2\t103272\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\t2.271737173426372\n4.39198747959714\t4\t102125\tM\tSepar.\t1960\tL: 300,000 and above\t15000\t< Bach.\t0\t2\t?\t4\t0\t4.39198747959714\n2.043014377365254\t2\t103009\tF\tNeverM\t1983\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t2\tTechSup\t2\t1\t2.043014377365254\n2.043014377365254\t2\t100773\tF\tNeverM\t1981\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t2\t1\t2.043014377365254\n4.39198747959714\t3\t102157\tM\tNeverM\t1969\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t6-8\tSales\t3\t0\t4.39198747959714\n4.620710275658258\t5\t102960\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\tAssoc-V\t0\t3\tCrafts\t5\t0\t4.620710275658258\n3.618467890575687\t4\t102251\tF\tDivorc.\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\t3.618467890575687\n4.065083753532761\t3\t100384\tM\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t9+\tMachine\t3\t0\t4.065083753532761\n4.296926828164629\t3\t100101\tM\tMarried\t1972\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tProf.\t3\t0\t4.296926828164629\n4.620710275658258\t7\t103742\tM\tNeverM\t1961\tB: 30,000 - 49,999\t1500\tMasters\t0\t2\tProf.\t7\t0\t4.620710275658258\n2.167437921105945\t1\t101074\tM\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t10th\t0\t1\tHandler\t1\t1\t2.167437921105945\n4.620710275658258\t6\t101128\tM\tMabsent\t1946\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tFarming\t6\t0\t4.620710275658258\n2.3128797344947984\t2\t104121\tM\tMarried\t1981\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tOther\t2\t1\t2.3128797344947984\n3.862885820463269\t4\t100116\tF\tMarried\t1963\tL: 300,000 and above\t9000\tAssoc-V\t0\t4-5\tProf.\t4\t0\t3.862885820463269\n4.560621189977153\t2\t103441\tF\tWidowed\t1941\tG: 130,000 - 149,999\t5000\tBach.\t0\t9+\tTechSup\t2\t0\t4.560621189977153\n2.6738366011313683\t4\t102782\tM\tMarried\t1975\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t3\tCrafts\t4\t1\t2.6738366011313683\n4.293806549593896\t5\t101779\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t1\tSales\t5\t0\t4.293806549593896\n2.167437921105945\t1\t101597\tM\tNeverM\t1985\tI: 170,000 - 189,999\t1500\t11th\t0\t1\tHandler\t1\t1\t2.167437921105945\n2.4451138050702506\t3\t102197\tM\tMarried\t1976\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\t2.4451138050702506\n2.271737173426372\t2\t102528\tF\tNeverM\t1981\tC: 50,000 - 69,999\t3000\tBach.\t0\t1\tProf.\t2\t1\t2.271737173426372\n1.7755861055298254\t3\t103465\tF\tNeverM\t1975\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t2\tTechSup\t3\t1\t1.7755861055298254\n5.284727782061964\t6\t101089\tM\tMarried\t1958\tF: 110,000 - 129,999\t1500\tAssoc-A\t1\t3\tExec.\t6\t0\t5.284727782061964\n7.718705140026032\t6\t100068\tM\tMarried\t1942\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tExec.\t6\t0\t7.718705140026032\n4.620710275658258\t5\t101848\tM\tMarried\t1952\tC: 50,000 - 69,999\t7000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t101236\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tFarming\t3\t1\t2.6738366011313683\n4.620710275658258\t3\t100027\tM\tMarried\t1969\tL: 300,000 and above\t11000\t9th\t0\t3\tCrafts\t3\t0\t4.620710275658258\n1.9387151250448273\t2\t104205\tM\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tHandler\t2\t1\t1.9387151250448273\n2.271737173426372\t1\t102208\tF\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t10th\t0\t1\tSales\t1\t1\t2.271737173426372\n4.620710275658258\t5\t101797\tM\tMarried\t1951\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tProf.\t5\t0\t4.620710275658258\n4.9940310492279325\t4\t103170\tM\tMarried\t1959\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\t4.9940310492279325\n5.598099770552437\t5\t102573\tM\tMarried\t1952\tE: 90,000 - 109,999\t10000\tMasters\t1\t3\tProtec.\t5\t0\t5.598099770552437\n4.620710275658258\t5\t101101\tM\tMarried\t1951\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t3\tCleric.\t5\t0\t4.620710275658258\n3.9511825761178327\t2\t102574\tF\tSepar.\t1958\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t9+\tMachine\t2\t0\t3.9511825761178327\n4.7166737269607495\t4\t103527\tM\tMarried\t1960\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t3\tOther\t4\t0\t4.7166737269607495\n4.39198747959714\t5\t102686\tM\tMarried\t1955\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tProf.\t5\t0\t4.39198747959714\n2.043014377365254\t1\t101146\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\t?\t1\t1\t2.043014377365254\n4.9940310492279325\t7\t100491\tM\tMarried\t1949\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tTransp.\t7\t0\t4.9940310492279325\n2.4064083292959397\t3\t103033\tM\tSepar.\t1975\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t2\tCrafts\t3\t1\t2.4064083292959397\n1.7309784748602794\t3\t101080\tM\tMarried\t1978\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t3\tCleric.\t3\t1\t1.7309784748602794\n4.859800067067212\t5\t101322\tF\tDivorc.\t1950\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tOther\t5\t0\t4.859800067067212\n3.862885820463269\t4\t100122\tF\tMarried\t1954\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t4-5\tCleric.\t4\t0\t3.862885820463269\n4.817396005119761\t4\t102695\tM\tMarried\t1964\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tProf.\t4\t0\t4.817396005119761\n4.39128099411736\t4\t100954\tF\tMarried\t1965\tI: 170,000 - 189,999\t15000\tProfsc\t0\t4-5\tSales\t4\t0\t4.39128099411736\n4.714452243488594\t5\t102118\tF\tDivorc.\t1958\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t9+\tCleric.\t5\t0\t4.714452243488594\n1.7755861055298254\t2\t104492\tF\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\t?\t2\t1\t1.7755861055298254\n2.043014377365254\t2\t103121\tF\tNeverM\t1983\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t9+\tProf.\t2\t1\t2.043014377365254\n5.2728065349554925\t7\t100933\tM\tMarried\t1957\tL: 300,000 and above\t15000\tHS-grad\t1\t3\tSales\t7\t0\t5.2728065349554925\n4.1245592077617115\t3\t102383\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t3\tProf.\t3\t0\t4.1245592077617115\n4.9940310492279325\t6\t102929\tM\tMarried\t1955\tH: 150,000 - 169,999\t3000\tAssoc-A\t0\t3\tTransp.\t6\t0\t4.9940310492279325\n2.043014377365254\t1\t103858\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\t2.043014377365254\n5.133303719371725\t4\t102733\tM\tMarried\t1962\tL: 300,000 and above\t15000\tMasters\t1\t3\tExec.\t4\t0\t5.133303719371725\n2.0841569384336807\t2\t104096\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\t2.0841569384336807\n4.39198747959714\t4\t103496\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\t4.39198747959714\n5.898359762074506\t3\t103116\tF\tWidowed\t1941\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tExec.\t3\t0\t5.898359762074506\n2.271737173426372\t2\t103806\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tSales\t2\t1\t2.271737173426372\n4.620710275658258\t8\t104392\tM\tMarried\t1959\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t8\t0\t4.620710275658258\n5.663158417671838\t5\t102084\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t5\t0\t5.663158417671838\n4.218610847953261\t5\t103978\tF\tNeverM\t1958\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tCleric.\t5\t0\t4.218610847953261\n4.114311595632834\t5\t101346\tM\tMarried\t1958\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t3\tHandler\t5\t0\t4.114311595632834\n2.271737173426372\t2\t103473\tF\tNeverM\t1981\tL: 300,000 and above\t9000\tBach.\t0\t1\tCleric.\t2\t1\t2.271737173426372\n2.4451138050702506\t2\t102827\tM\tNeverM\t1982\tL: 300,000 and above\t11000\t< Bach.\t0\t1\t?\t2\t1\t2.4451138050702506\n4.620710275658258\t2\t100797\tM\tMabsent\t1970\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tSales\t2\t0\t4.620710275658258\n4.916449655477578\t4\t103747\tF\tDivorc.\t1961\tL: 300,000 and above\t9000\tAssoc-A\t1\t9+\tProf.\t4\t0\t4.916449655477578\n2.6738366011313683\t3\t103125\tM\tMarried\t1975\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tCrafts\t3\t1\t2.6738366011313683\n6.445423980890155\t5\t100738\tM\tMarried\t1949\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t3\tExec.\t5\t0\t6.445423980890155\n4.620710275658258\t10\t100334\tM\tMarried\t1945\tC: 50,000 - 69,999\t5000\tBach.\t0\t3\t?\t10\t0\t4.620710275658258\n6.494916794000346\t7\t102046\tM\tMarried\t1938\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t3\tExec.\t7\t0\t6.494916794000346\n2.4451138050702506\t3\t103726\tM\tMarried\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tProtec.\t3\t1\t2.4451138050702506\n4.6248299703147495\t3\t102930\tM\tNeverM\t1972\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tExec.\t3\t0\t4.6248299703147495\n2.6738366011313683\t1\t103233\tM\tNeverM\t1975\tB: 30,000 - 49,999\t1500\tBach.\t0\t1\tProf.\t1\t1\t2.6738366011313683\n2.167437921105945\t2\t101281\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t1\tHandler\t2\t1\t2.167437921105945\n5.349871577647072\t4\t104410\tM\tMarried\t1967\tL: 300,000 and above\t11000\tPhD\t0\t3\tProf.\t4\t0\t5.349871577647072\n4.620710275658258\t3\t100480\tM\tMarried\t1970\tI: 170,000 - 189,999\t9000\t10th\t0\t3\tMachine\t3\t0\t4.620710275658258\n5.239259680252559\t5\t101176\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\t5.239259680252559\n4.353282003822829\t4\t101065\tM\tNeverM\t1964\tF: 110,000 - 129,999\t10000\tAssoc-V\t0\t2\tMachine\t4\t0\t4.353282003822829\n2.5249098060576216\t2\t102630\tM\tNeverM\t1980\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t2\tExec.\t2\t1\t2.5249098060576216\n2.6738366011313683\t2\t103003\tM\tMarried\t1982\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t3\tCrafts\t2\t1\t2.6738366011313683\n4.777740329765493\t5\t101023\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t3000\tAssoc-A\t0\t2\tTechSup\t5\t0\t4.777740329765493\n4.841028416042391\t5\t102371\tF\tDivorc.\t1956\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t5\t0\t4.841028416042391\n1.9107803067898017\t1\t102974\tF\tNeverM\t1984\tE: 90,000 - 109,999\t10000\t10th\t0\t6-8\tOther\t1\t1\t1.9107803067898017\n2.004308901590943\t2\t104274\tF\tNeverM\t1981\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tCleric.\t2\t1\t2.004308901590943\n1.4146292388932553\t2\t101718\tF\tNeverM\t1984\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t6-8\tOther\t2\t1\t1.4146292388932553\n4.620710275658258\t5\t102838\tM\tNeverM\t1950\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t6-8\tCleric.\t5\t0\t4.620710275658258\n2.6738366011313683\t3\t104190\tM\tMarried\t1977\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\t2.6738366011313683\n4.620710275658258\t5\t104091\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n2.271737173426372\t3\t104175\tF\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tCleric.\t3\t1\t2.271737173426372\n2.043014377365254\t2\t101296\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t2\t1\t2.043014377365254\n2.4451138050702506\t2\t102536\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tMachine\t2\t1\t2.4451138050702506\n4.370458937064541\t4\t103072\tM\tMarried\t1971\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\t4.370458937064541\n3.6851165195348585\t3\t103503\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\t3.6851165195348585\n4.620710275658258\t5\t104236\tM\tNeverM\t1956\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\t4.620710275658258\n2.6738366011313683\t4\t102534\tM\tMarried\t1974\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tMachine\t4\t1\t2.6738366011313683\n4.620710275658258\t5\t103230\tM\tMarried\t1956\tD: 70,000 - 89,999\t1500\tBach.\t0\t3\tProf.\t5\t0\t4.620710275658258\n4.798873634457777\t5\t101102\tF\tNeverM\t1950\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tExec.\t5\t0\t4.798873634457777\n4.6222200637615884\t4\t102655\tM\tMarried\t1967\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\t4.6222200637615884\n2.6738366011313683\t1\t104169\tM\tNeverM\t1985\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t1\t1\t2.6738366011313683\n4.560621189977153\t5\t101408\tF\tWidowed\t1937\tL: 300,000 and above\t15000\tBach.\t0\t2\tProf.\t5\t0\t4.560621189977153\n4.9940310492279325\t5\t101179\tM\tNeverM\t1964\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tTransp.\t5\t0\t4.9940310492279325\n2.6738366011313683\t2\t100604\tM\tNeverM\t1981\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t1\tProf.\t2\t1\t2.6738366011313683\n2.6738366011313683\t1\t100586\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t1\t1\t2.6738366011313683\n4.5236145619392545\t5\t103814\tM\tMarried\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tSales\t5\t0\t4.5236145619392545\n2.6450579469960465\t3\t100306\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tTransp.\t3\t1\t2.6450579469960465\n4.088946208335074\t5\t100542\tF\tSepar.\t1965\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tExec.\t5\t0\t4.088946208335074\n4.2597534090216875\t5\t101910\tM\tMarried\t1950\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\t4.2597534090216875\n4.620710275658258\t4\t100705\tM\tMarried\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t3\tCrafts\t4\t0\t4.620710275658258\n4.39198747959714\t6\t102144\tM\tMabsent\t1928\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t6\t0\t4.39198747959714\n5.179839757470489\t5\t102359\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t2\tCrafts\t5\t0\t5.179839757470489\n2.39808069161046\t3\t103036\tM\tMarried\t1977\tJ: 190,000 - 249,999\t10000\tBach.\t1\t3\tTransp.\t3\t1\t2.39808069161046\n4.037054945467531\t2\t103417\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t3000\t11th\t0\t6-8\tOther\t2\t0\t4.037054945467531\n4.169289016042967\t4\t102609\tF\tDivorc.\t1963\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tCleric.\t4\t0\t4.169289016042967\n3.9945129028053685\t5\t100376\tF\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tBach.\t1\t4-5\tCleric.\t5\t0\t3.9945129028053685\n3.3733214476912394\t3\t104285\tF\tMarried\t1969\tE: 90,000 - 109,999\t7000\tHS-grad\t1\t4-5\tOther\t3\t0\t3.3733214476912394\n2.6738366011313683\t4\t102966\tM\tNeverM\t1976\tH: 150,000 - 169,999\t15000\tAssoc-V\t0\t2\tProtec.\t4\t1\t2.6738366011313683\n2.6738366011313683\t1\t103612\tM\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-A\t0\t1\t?\t1\t1\t2.6738366011313683\n4.560621189977153\t6\t102252\tF\tWidowed\t1946\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\t4.560621189977153\n3.590225709481263\t5\t104398\tF\tSepar.\t1952\tF: 110,000 - 129,999\t9000\t9th\t0\t6-8\tOther\t5\t0\t3.590225709481263\n3.938507580978964\t3\t102800\tM\tDivorc.\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tMachine\t3\t0\t3.938507580978964\n4.516886767137294\t5\t100357\tM\tNeverM\t1964\tL: 300,000 and above\t11000\t< Bach.\t0\t2\tExec.\t5\t0\t4.516886767137294\n4.620710275658258\t4\t100650\tM\tMarried\t1945\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tFarming\t4\t0\t4.620710275658258\n1.949289582422736\t3\t100083\tF\tDivorc.\t1974\tA: Below 30,000\t1500\tBach.\t0\t9+\tOther\t3\t1\t1.949289582422736\n4.152954450312265\t3\t103937\tM\tDivorc.\t1969\tF: 110,000 - 129,999\t7000\tAssoc-A\t0\t2\tMachine\t3\t0\t4.152954450312265\n5.533041123433051\t6\t101208\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tMasters\t1\t3\tProf.\t6\t0\t5.533041123433051\n2.6738366011313683\t3\t102505\tM\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tMachine\t3\t1\t2.6738366011313683\n4.620710275658258\t7\t104323\tM\tNeverM\t1944\tL: 300,000 and above\t9000\tBach.\t0\t2\tCrafts\t7\t0\t4.620710275658258\n4.700176316760761\t5\t102052\tF\tDivorc.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tCleric.\t5\t0\t4.700176316760761\n1.9107803067898017\t2\t104106\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tOther\t2\t1\t1.9107803067898017\n4.537309308351723\t4\t100719\tF\tMarried\t1952\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tExec.\t4\t0\t4.537309308351723\n2.043014377365254\t1\t101199\tF\tNeverM\t1982\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tSales\t1\t1\t2.043014377365254\n2.6912374615512817\t3\t101936\tM\tNeverM\t1976\tH: 150,000 - 169,999\t11000\tBach.\t0\t2\tExec.\t3\t1\t2.6912374615512817\n2.4451138050702506\t2\t104467\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tMachine\t2\t1\t2.4451138050702506\n5.336590639783026\t5\t103020\tM\tMarried\t1960\tI: 170,000 - 189,999\t1500\tMasters\t1\t3\tExec.\t5\t0\t5.336590639783026\n5.0560049860005165\t5\t101600\tM\tMarried\t1958\tF: 110,000 - 129,999\t3000\t< Bach.\t1\t3\tExec.\t5\t0\t5.0560049860005165\n2.6738366011313683\t4\t100937\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t1\t2.6738366011313683\n4.557161416642202\t4\t101203\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t4\t0\t4.557161416642202\n2.6738366011313683\t3\t103257\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-V\t0\t3\tProf.\t3\t1\t2.6738366011313683\n4.42704412240343\t3\t102250\tM\tMarried\t1970\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tProf.\t3\t0\t4.42704412240343\n2.6738366011313683\t2\t101634\tM\tMarried\t1979\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tSales\t2\t1\t2.6738366011313683\n4.687278710880975\t1\t100042\tM\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t1\t0\t4.687278710880975\n3.9898880518921436\t5\t101340\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tCleric.\t5\t0\t3.9898880518921436\n4.218610847953261\t3\t100143\tF\tNeverM\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tProf.\t3\t0\t4.218610847953261\n3.846883323797406\t3\t100124\tM\tMarried\t1939\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t3\t0\t3.846883323797406\n2.4451138050702506\t2\t102724\tM\tNeverM\t1981\tL: 300,000 and above\t11000\t< Bach.\t0\t1\t?\t2\t1\t2.4451138050702506\n2.271737173426372\t3\t103359\tF\tNeverM\t1978\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t6-8\tCrafts\t3\t1\t2.271737173426372\n4.620710275658258\t3\t100783\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tCrafts\t3\t0\t4.620710275658258\n4.752337358000361\t4\t102307\tM\tMarried\t1965\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tCleric.\t4\t0\t4.752337358000361\n5.012571946477934\t4\t102380\tM\tMarried\t1961\tH: 150,000 - 169,999\t3000\tMasters\t1\t3\tProf.\t4\t0\t5.012571946477934\n4.03103061296057\t2\t100776\tM\tMarried\t1966\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tOther\t2\t0\t4.03103061296057\n4.597113920339325\t4\t102406\tM\tMarried\t1968\tI: 170,000 - 189,999\t10000\tHS-grad\t1\t3\tExec.\t4\t0\t4.597113920339325\n4.9940310492279325\t4\t103504\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tTransp.\t4\t0\t4.9940310492279325\n6.880664899802468\t6\t103214\tM\tDivorc.\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t2\tExec.\t6\t0\t6.880664899802468\n2.271737173426372\t1\t103028\tF\tNeverM\t1978\tK: 250,000 - 299,999\t9000\tBach.\t0\t2\tCleric.\t1\t1\t2.271737173426372\n4.620710275658258\t9\t103800\tM\tMarried\t1950\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t3\tCrafts\t9\t0\t4.620710275658258\n2.6738366011313683\t3\t101502\tM\tNeverM\t1976\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tSales\t3\t1\t2.6738366011313683\n2.0937805299594032\t4\t100121\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t1\t2.0937805299594032\n4.236206594032943\t3\t101967\tF\tMarried\t1940\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t4-5\tTransp.\t3\t0\t4.236206594032943\n4.765308253166815\t5\t101387\tM\tMarried\t1966\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tTransp.\t5\t0\t4.765308253166815\n3.8576539813166915\t5\t101931\tF\tSepar.\t1952\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t2\tOther\t5\t0\t3.8576539813166915\n4.39198747959714\t3\t103715\tM\tMarried\t1972\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\t4.39198747959714\n4.05422250995173\t3\t103364\tF\tWidowed\t1967\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t9+\tHandler\t3\t0\t4.05422250995173\n5.070436910239451\t7\t104093\tM\tMarried\t1956\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t7\t0\t5.070436910239451\n4.620710275658258\t4\t104273\tM\tMarried\t1966\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCleric.\t4\t0\t4.620710275658258\n4.9940310492279325\t4\t101632\tM\tSepar.\t1968\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tTransp.\t4\t0\t4.9940310492279325\n4.39198747959714\t5\t101808\tM\tMarried\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tFarming\t5\t0\t4.39198747959714\n3.9898880518921436\t4\t100222\tF\tNeverM\t1972\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\t3.9898880518921436\n5.24255597140899\t4\t101270\tM\tMarried\t1966\tA: Below 30,000\t1500\tHS-grad\t1\t3\tMachine\t4\t0\t5.24255597140899\n5.2207569337037825\t5\t100948\tF\tDivorc.\t1950\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t2\tMachine\t5\t0\t5.2207569337037825\n1.926154416218452\t4\t100071\tM\tMarried\t1975\tG: 130,000 - 149,999\t9000\t< Bach.\t1\t3\tSales\t4\t1\t1.926154416218452\n2.4451138050702506\t2\t101379\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tMachine\t2\t1\t2.4451138050702506\n2.6738366011313683\t3\t103199\tM\tNeverM\t1982\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t6-8\t?\t3\t1\t2.6738366011313683\n5.064846272795393\t6\t103697\tF\tMarried\t1943\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t4-5\tOther\t6\t0\t5.064846272795393\n4.557161416642202\t4\t104292\tM\tMarried\t1968\tI: 170,000 - 189,999\t1500\tBach.\t1\t1\tSales\t4\t0\t4.557161416642202\n4.114311595632834\t4\t103486\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tHandler\t4\t0\t4.114311595632834\n5.190202349786276\t1\t100822\tM\tDivorc.\t1962\tL: 300,000 and above\t9000\tMasters\t1\t9+\tSales\t1\t0\t5.190202349786276\n2.271737173426372\t1\t100830\tF\tNeverM\t1986\tL: 300,000 and above\t11000\t11th\t0\t1\tCleric.\t1\t1\t2.271737173426372\n2.6738366011313683\t2\t104004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t1\tCleric.\t2\t1\t2.6738366011313683\n4.39198747959714\t3\t101880\tM\tMarried\t1969\tL: 300,000 and above\t7000\t< Bach.\t0\t3\tCrafts\t3\t0\t4.39198747959714\n4.620710275658258\t3\t101111\tM\tNeverM\t1972\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t1\tCrafts\t3\t0\t4.620710275658258\n4.2547474912829415\t4\t100405\tF\tMarried\t1961\tE: 90,000 - 109,999\t9000\tHS-grad\t1\t4-5\tMachine\t4\t0\t4.2547474912829415\n4.620710275658258\t6\t101174\tM\tMarried\t1947\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t6\t0\t4.620710275658258\n6.281317355886131\t5\t103261\tM\tSepar.\t1958\tJ: 190,000 - 249,999\t15000\tPhD\t1\t9+\tExec.\t5\t0\t6.281317355886131\n5.175987536186261\t11\t102557\tM\tMarried\t1933\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t11\t0\t5.175987536186261\n3.8292522293404545\t4\t100209\tF\tDivorc.\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t1\t2\tExec.\t4\t0\t3.8292522293404545\n4.39198747959714\t4\t104016\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t2\tProtec.\t4\t0\t4.39198747959714\n4.03103061296057\t3\t103557\tM\tMarried\t1971\tE: 90,000 - 109,999\t9000\t< Bach.\t0\t3\tOther\t3\t0\t4.03103061296057\n1.9160121459363793\t3\t102279\tF\tMarried\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t4-5\tCleric.\t3\t1\t1.9160121459363793\n4.620710275658258\t5\t103344\tM\tMarried\t1950\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t3\tMachine\t5\t0\t4.620710275658258\n4.620710275658258\t6\t103748\tM\tMabsent\t1946\tI: 170,000 - 189,999\t10000\tAssoc-A\t0\t9+\tFarming\t6\t0\t4.620710275658258\n2.004308901590943\t2\t102638\tF\tNeverM\t1981\tF: 110,000 - 129,999\t10000\tBach.\t0\t1\tCleric.\t2\t1\t2.004308901590943\n5.533041123433051\t8\t100809\tM\tMarried\t1953\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t8\t0\t5.533041123433051\n5.996377649967769\t11\t102326\tM\tMarried\t1954\tH: 150,000 - 169,999\t11000\tProfsc\t1\t3\tProf.\t11\t0\t5.996377649967769\n2.043014377365254\t2\t101903\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tSales\t2\t1\t2.043014377365254\n4.620710275658258\t5\t103367\tM\tNeverM\t1970\tD: 70,000 - 89,999\t1500\tBach.\t0\t2\tProf.\t5\t0\t4.620710275658258\n5.533041123433051\t6\t103873\tM\tMarried\t1953\tH: 150,000 - 169,999\t1500\tMasters\t1\t3\tProf.\t6\t0\t5.533041123433051\n5.33067149871701\t9\t103031\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\t5.33067149871701\n2.6738366011313683\t1\t100186\tM\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\t?\t1\t1\t2.6738366011313683\n4.620710275658258\t8\t103172\tM\tMabsent\t1957\tG: 130,000 - 149,999\t1500\tHS-grad\t0\t2\tFarming\t8\t0\t4.620710275658258\n4.39198747959714\t4\t102531\tM\tMarried\t1971\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tSales\t4\t0\t4.39198747959714\n4.636607127984462\t5\t103590\tM\tMarried\t1970\tL: 300,000 and above\t11000\tBach.\t0\t1\tExec.\t5\t0\t4.636607127984462\n2.4451138050702506\t3\t101169\tM\tNeverM\t1976\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tSales\t3\t1\t2.4451138050702506\n4.218610847953261\t6\t101774\tF\tNeverM\t1956\tG: 130,000 - 149,999\t7000\tMasters\t0\t2\tProf.\t6\t0\t4.218610847953261\n5.432992102578083\t8\t100517\tM\tDivorc.\t1953\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t2\tCrafts\t8\t0\t5.432992102578083\n2.4451138050702506\t1\t101153\tM\tNeverM\t1983\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\t?\t1\t1\t2.4451138050702506\n5.306415930024286\t8\t103753\tM\tDivorc.\t1955\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tProtec.\t8\t0\t5.306415930024286\n5.646127308525166\t5\t100818\tM\tMarried\t1957\tK: 250,000 - 299,999\t7000\tBach.\t1\t3\tTransp.\t5\t0\t5.646127308525166\n1.643352034954373\t1\t104432\tF\tNeverM\t1986\tF: 110,000 - 129,999\t10000\t10th\t0\t1\tOther\t1\t1\t1.643352034954373\n4.39198747959714\t5\t102320\tM\tMarried\t1966\tC: 50,000 - 69,999\t7000\t< Bach.\t0\t3\tCrafts\t5\t0\t4.39198747959714\n4.393497267700482\t4\t102167\tM\tMarried\t1967\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t3\tProtec.\t4\t0\t4.393497267700482\n5.875391844385376\t4\t103532\tM\tDivorc.\t1959\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t2\tExec.\t4\t0\t5.875391844385376\n3.68756693633037\t3\t101336\tF\tDivorc.\t1970\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t9+\tCleric.\t3\t0\t3.68756693633037\n4.199664323340584\t6\t103711\tF\tWidowed\t1954\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\t4.199664323340584\n4.9139664446556\t8\t102494\tM\tMarried\t1959\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tSales\t8\t0\t4.9139664446556\n4.714452243488594\t5\t103695\tF\tDivorc.\t1958\tJ: 190,000 - 249,999\t9000\tMasters\t0\t2\tProf.\t5\t0\t4.714452243488594\n4.39198747959714\t5\t101630\tM\tMarried\t1963\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\t4.39198747959714\n2.6738366011313683\t4\t100960\tM\tNeverM\t1975\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t2\tSales\t4\t1\t2.6738366011313683\n3.9511825761178327\t5\t101843\tF\tNeverM\t1950\tF: 110,000 - 129,999\t3000\tBach.\t0\t2\tProf.\t5\t0\t3.9511825761178327\n4.587876070934797\t5\t102055\tF\tDivorc.\t1960\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t9+\tCleric.\t5\t0\t4.587876070934797\n2.6738366011313683\t3\t102072\tM\tMarried\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCleric.\t3\t1\t2.6738366011313683\n4.620710275658258\t3\t103588\tM\tMarried\t1969\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t3\t0\t4.620710275658258\n1.7755861055298254\t2\t102884\tF\tSepar.\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t9+\tCleric.\t2\t1\t1.7755861055298254\n1.682057510728684\t1\t100568\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\t1.682057510728684\n2.043014377365254\t3\t104417\tF\tNeverM\t1974\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t1\t2.043014377365254\n4.39198747959714\t7\t100093\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tSales\t7\t0\t4.39198747959714\n2.3128797344947984\t1\t101886\tM\tNeverM\t1986\tE: 90,000 - 109,999\t9000\t10th\t0\t1\tOther\t1\t1\t2.3128797344947984\n4.587876070934797\t2\t103027\tF\tDivorc.\t1960\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\t4.587876070934797\n4.2597534090216875\t2\t102185\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t3\tOther\t2\t0\t4.2597534090216875\n5.07763059359732\t2\t101448\tM\tMarried\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tTechSup\t2\t0\t5.07763059359732\n4.620710275658258\t4\t100482\tM\tMarried\t1959\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tCrafts\t4\t0\t4.620710275658258\n5.110143927101873\t4\t100914\tM\tDivorc.\t1964\tL: 300,000 and above\t9000\t11th\t0\t1\tTransp.\t4\t0\t5.110143927101873\n5.502790559886549\t4\t102266\tM\tMarried\t1962\tA: Below 30,000\t1500\tMasters\t1\t3\tProf.\t4\t0\t5.502790559886549\n4.419850439045547\t5\t102851\tM\tMarried\t1966\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t5\t0\t4.419850439045547\n4.620710275658258\t5\t102912\tM\tNeverM\t1960\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tCrafts\t5\t0\t4.620710275658258\n2.2812133072684446\t3\t104118\tF\tNeverM\t1975\tI: 170,000 - 189,999\t15000\tHS-grad\t0\t1\tExec.\t3\t1\t2.2812133072684446\n4.620710275658258\t5\t103647\tM\tMarried\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t0\t3\tMachine\t5\t0\t4.620710275658258\n4.620710275658258\t6\t104049\tM\tMarried\t1947\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t6\t0\t4.620710275658258\n4.3125782006187166\t4\t100434\tM\tDivorc.\t1965\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tOther\t4\t0\t4.3125782006187166\n1.3996702199163877\t3\t103513\tF\tDivorc.\t1976\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t9+\tCrafts\t3\t1\t1.3996702199163877\n4.39198747959714\t4\t103985\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\t4.39198747959714\n2.271737173426372\t0\t101135\tF\tNeverM\t1986\tH: 150,000 - 169,999\t7000\t10th\t0\t9+\tSales\t0\t1\t2.271737173426372\n5.446895816578845\t4\t102077\tM\tDivorc.\t1960\tC: 50,000 - 69,999\t3000\tBach.\t1\t9+\tSales\t4\t0\t5.446895816578845\n4.218610847953261\t5\t100062\tF\tNeverM\t1963\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tTechSup\t5\t0\t4.218610847953261\n5.267704126988065\t5\t104338\tF\tNeverM\t1955\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t2\tExec.\t5\t0\t5.267704126988065\n4.353282003822829\t5\t100911\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\t4.353282003822829\n1.9387151250448273\t2\t100957\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tHandler\t2\t1\t1.9387151250448273\n4.39198747959714\t6\t100058\tM\tMarried\t1961\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t3\tFarming\t6\t0\t4.39198747959714\n4.54695889470149\t5\t102415\tM\tDivorc.\t1967\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tProf.\t5\t0\t4.54695889470149\n5.6865300558553145\t7\t103536\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t9+\tProf.\t7\t0\t5.6865300558553145\n4.1060009297660685\t4\t100262\tF\tDivorc.\t1964\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tCleric.\t4\t0\t4.1060009297660685\n5.142689240716706\t4\t100322\tM\tMarried\t1959\tK: 250,000 - 299,999\t9000\tHS-grad\t1\t3\tSales\t4\t0\t5.142689240716706\n2.3128797344947984\t3\t102860\tM\tMarried\t1975\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t3\tOther\t3\t1\t2.3128797344947984\n4.726602777392504\t4\t101017\tM\tMarried\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\t4.726602777392504\n2.043014377365254\t2\t100810\tF\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\t2.043014377365254\n2.6738366011313683\t2\t102092\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tProf.\t2\t1\t2.6738366011313683\n6.661917434700385\t0\t101693\tF\tMarried\t1924\tE: 90,000 - 109,999\t7000\tAssoc-A\t1\t4-5\t?\t0\t0\t6.661917434700385\n5.598099770552437\t5\t100778\tM\tMarried\t1952\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tProf.\t5\t0\t5.598099770552437\n4.620710275658258\t7\t101918\tM\tMarried\t1945\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t7\t0\t4.620710275658258\n4.36198547528403\t3\t101422\tM\tMarried\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t1\t3\tTechSup\t3\t0\t4.36198547528403\n2.678457631819583\t3\t102081\tM\tNeverM\t1974\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tExec.\t3\t1\t2.678457631819583\n5.284045019980681\t4\t101185\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\t?\t4\t0\t5.284045019980681\n3.846883323797406\t6\t102540\tM\tNeverM\t1948\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tHandler\t6\t0\t3.846883323797406\n3.59545754862784\t2\t103506\tF\tMarried\t1971\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t4-5\tCleric.\t2\t0\t3.59545754862784\n2.4451138050702506\t1\t101234\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tCrafts\t1\t1\t2.4451138050702506\n4.967604588596188\t5\t100014\tF\tDivorc.\t1954\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t5\t0\t4.967604588596188\n4.218610847953261\t3\t102600\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t3\t0\t4.218610847953261\n2.4451138050702506\t3\t104452\tM\tNeverM\t1982\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\t?\t3\t1\t2.4451138050702506\n4.0249446946984335\t4\t101535\tF\tNeverM\t1970\tL: 300,000 and above\t9000\tBach.\t1\t2\tProf.\t4\t0\t4.0249446946984335\n4.9940310492279325\t4\t101211\tM\tMarried\t1965\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tTransp.\t4\t0\t4.9940310492279325\n2.177685533234822\t2\t102265\tM\tNeverM\t1981\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\t?\t2\t1\t2.177685533234822\n4.620710275658258\t4\t100067\tM\tNeverM\t1962\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tTechSup\t4\t0\t4.620710275658258\n3.871620235683295\t2\t102043\tF\tDivorc.\t1962\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tOther\t2\t0\t3.871620235683295\n4.2597534090216875\t4\t103539\tM\tMarried\t1965\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\t4.2597534090216875\n4.620710275658258\t5\t101006\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tSales\t5\t0\t4.620710275658258\n4.353282003822829\t6\t104138\tM\tMarried\t1939\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tCrafts\t6\t0\t4.353282003822829\n1.4146292388932553\t1\t102586\tF\tNeverM\t1983\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tOther\t1\t1\t1.4146292388932553\n4.933941963546828\t4\t100379\tF\tWidowed\t1961\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t9+\tTransp.\t4\t0\t4.933941963546828\n5.308474569027155\t7\t103091\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t9+\tCleric.\t7\t0\t5.308474569027155\n4.817396005119761\t4\t104325\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\t9th\t1\t3\tMachine\t4\t0\t4.817396005119761\n4.218610847953261\t5\t102701\tF\tSepar.\t1953\tE: 90,000 - 109,999\t10000\t1st-4th\t0\t9+\tProf.\t5\t0\t4.218610847953261\n2.603937207445597\t3\t102502\tM\tNeverM\t1983\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tExec.\t3\t1\t2.603937207445597\n4.620710275658258\t6\t103971\tM\tMabsent\t1944\tG: 130,000 - 149,999\t1500\t10th\t0\t2\tProtec.\t6\t0\t4.620710275658258\n5.7762446027639385\t7\t104345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tHS-grad\t1\t3\tTransp.\t7\t0\t5.7762446027639385\n4.620710275658258\t5\t103802\tM\tSepar.\t1962\tH: 150,000 - 169,999\t3000\tAssoc-A\t0\t2\tCrafts\t5\t0\t4.620710275658258\n4.39198747959714\t7\t101324\tM\tMarried\t1954\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t3\tSales\t7\t0\t4.39198747959714\n4.7858353130812645\t4\t103810\tM\tDivorc.\t1959\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\t4.7858353130812645\n4.1245592077617115\t4\t100710\tM\tMarried\t1945\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t3\t?\t4\t0\t4.1245592077617115\n4.39198747959714\t4\t104264\tM\tNeverM\t1962\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\t4.39198747959714\n2.4451138050702506\t2\t100873\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tMachine\t2\t1\t2.4451138050702506\n4.293806549593896\t3\t104134\tM\tDivorc.\t1971\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tMachine\t3\t0\t4.293806549593896\n4.620710275658258\t1\t102450\tM\tMarried\t1961\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tSales\t1\t0\t4.620710275658258\n4.620710275658258\t6\t101235\tM\tMarried\t1960\tK: 250,000 - 299,999\t9000\tAssoc-A\t0\t3\tSales\t6\t0\t4.620710275658258\n1.9107803067898017\t2\t104327\tF\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tOther\t2\t1\t1.9107803067898017\n5.2728065349554925\t6\t101361\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tCrafts\t6\t0\t5.2728065349554925\n2.043014377365254\t1\t100242\tF\tNeverM\t1982\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\tProf.\t1\t1\t2.043014377365254\n2.6738366011313683\t2\t100240\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t1\t?\t2\t1\t2.6738366011313683\n2.4451138050702506\t4\t103390\tM\tMarried\t1975\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tFarming\t4\t1\t2.4451138050702506\n6.248686241746341\t8\t102765\tM\tMarried\t1942\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tCrafts\t8\t0\t6.248686241746341\n2.6738366011313683\t2\t102968\tM\tMarried\t1979\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t3\tCrafts\t2\t1\t2.6738366011313683\n3.474043725850265\t4\t100035\tF\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t4-5\tProf.\t4\t0\t3.474043725850265\n2.224556890087115\t3\t101096\tM\tMarried\t1974\tC: 50,000 - 69,999\t1500\tBach.\t1\t3\tExec.\t3\t1\t2.224556890087115\n3.592384001857444\t4\t102460\tM\tNeverM\t1954\tE: 90,000 - 109,999\t3000\tBach.\t0\t2\tHouse-s\t4\t0\t3.592384001857444\n7.167433298116791\t2\t104032\tM\tMarried\t1936\tH: 150,000 - 169,999\t10000\tProfsc\t1\t3\t?\t2\t0\t7.167433298116791\n2.6738366011313683\t2\t103054\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t2\t1\t2.6738366011313683\n4.422441361150561\t4\t101879\tF\tDivorc.\t1959\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t9+\tCleric.\t4\t0\t4.422441361150561\n4.39198747959714\t4\t100798\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tProtec.\t4\t0\t4.39198747959714\n4.620710275658258\t6\t103392\tM\tMarried\t1942\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tMachine\t6\t0\t4.620710275658258\n4.2597534090216875\t4\t101506\tM\tMarried\t1965\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t4\t0\t4.2597534090216875\n2.043014377365254\t2\t103976\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\t?\t2\t1\t2.043014377365254\n2.6738366011313683\t3\t101299\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\t?\t3\t1\t2.6738366011313683\n5.51974447550856\t5\t101365\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t15000\tAssoc-A\t0\t2\tExec.\t5\t0\t5.51974447550856\n4.218610847953261\t5\t100854\tF\tSepar.\t1956\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t5\t0\t4.218610847953261\n2.043014377365254\t3\t103741\tF\tNeverM\t1976\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\t?\t3\t1\t2.043014377365254\n3.8576539813166915\t3\t101287\tF\tSepar.\t1969\tH: 150,000 - 169,999\t1500\tAssoc-A\t0\t9+\tOther\t3\t0\t3.8576539813166915\n4.620710275658258\t4\t100095\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tTechSup\t4\t0\t4.620710275658258\n2.271737173426372\t1\t103207\tF\tNeverM\t1984\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t2\tCleric.\t1\t1\t2.271737173426372\n6.619124347591423\t3\t104197\tM\tMarried\t1942\tG: 130,000 - 149,999\t5000\tProfsc\t0\t3\tExec.\t3\t0\t6.619124347591423\n4.851395514443539\t5\t100022\tM\tMarried\t1965\tI: 170,000 - 189,999\t5000\tAssoc-V\t1\t3\tExec.\t5\t0\t4.851395514443539\n4.620710275658258\t5\t102227\tM\tMarried\t1952\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n4.587876070934797\t4\t102863\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\t4.587876070934797\n4.42704412240343\t4\t101161\tM\tMarried\t1970\tI: 170,000 - 189,999\t11000\tBach.\t1\t3\tCleric.\t4\t0\t4.42704412240343\n1.9107803067898017\t2\t101643\tF\tNeverM\t1982\tL: 300,000 and above\t11000\t10th\t0\t2\tOther\t2\t1\t1.9107803067898017\n4.442940974729936\t4\t100616\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tExec.\t4\t0\t4.442940974729936\n4.39198747959714\t4\t102812\tM\tMarried\t1961\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t3\tMachine\t4\t0\t4.39198747959714\n2.0604152377854916\t3\t103587\tF\tNeverM\t1976\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t3\t1\t2.0604152377854916\n4.459623013367491\t4\t104212\tF\tDivorc.\t1964\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t4\t0\t4.459623013367491\n4.251348753344686\t6\t103961\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t2\tOther\t6\t0\t4.251348753344686\n4.114311595632834\t3\t102704\tM\tNeverM\t1966\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tHandler\t3\t0\t4.114311595632834\n5.858334359029996\t6\t100532\tM\tMarried\t1948\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\tFarming\t6\t0\t5.858334359029996\n3.2022317747854605\t1\t103954\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t2\tProf.\t1\t1\t3.2022317747854605\n4.765308253166815\t5\t104475\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tTransp.\t5\t0\t4.765308253166815\n4.39198747959714\t7\t101840\tM\tMarried\t1937\tE: 90,000 - 109,999\t10000\t< Bach.\t0\t3\t?\t7\t0\t4.39198747959714\n2.6738366011313683\t0\t102117\tM\tNeverM\t1984\tB: 30,000 - 49,999\t7000\tHS-grad\t0\t1\tFarming\t0\t1\t2.6738366011313683\n2.167437921105945\t2\t102485\tM\tNeverM\t1982\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tHandler\t2\t1\t2.167437921105945\n4.620710275658258\t2\t102562\tM\tNeverM\t1970\tD: 70,000 - 89,999\t9000\tHS-grad\t0\t2\tFarming\t2\t0\t4.620710275658258\n4.218610847953261\t4\t100002\tF\tNeverM\t1962\tL: 300,000 and above\t7000\tBach.\t0\t2\tProf.\t4\t0\t4.218610847953261\n1.682057510728684\t2\t104471\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\t1.682057510728684\n4.620710275658258\t6\t104356\tM\tMarried\t1948\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t3\tCrafts\t6\t0\t4.620710275658258\n2.6738366011313683\t3\t100687\tM\tMarried\t1975\tE: 90,000 - 109,999\t9000\tBach.\t0\t3\tProf.\t3\t1\t2.6738366011313683\n6.403328141184829\t8\t103099\tM\tMarried\t1951\tI: 170,000 - 189,999\t15000\tAssoc-A\t1\t3\tExec.\t8\t0\t6.403328141184829\n2.271737173426372\t3\t102132\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\t2.271737173426372\n2.043014377365254\t1\t100642\tF\tNeverM\t1979\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tSales\t1\t1\t2.043014377365254\n6.019963445685235\t6\t103562\tM\tMarried\t1942\tB: 30,000 - 49,999\t7000\t< Bach.\t1\t3\tSales\t6\t0\t6.019963445685235\n4.218610847953261\t3\t102658\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\t4.218610847953261\n9.828927492093499\t7\t102417\tM\tMarried\t1929\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t3\tExec.\t7\t0\t9.828927492093499\n5.36087999917072\t5\t100620\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\t5.36087999917072\n2.818434578639925\t3\t104479\tM\tMarried\t1974\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tTransp.\t3\t1\t2.818434578639925\n4.418367522333028\t4\t102001\tF\tDivorc.\t1962\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tExec.\t4\t0\t4.418367522333028\n5.663158417671838\t5\t100980\tM\tMarried\t1951\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tTechSup\t5\t0\t5.663158417671838\n5.349871577647072\t7\t102080\tM\tMarried\t1954\tC: 50,000 - 69,999\t1500\tPhD\t0\t3\tProf.\t7\t0\t5.349871577647072\n4.6979646163017605\t4\t103242\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tCrafts\t4\t0\t4.6979646163017605\n2.4451138050702506\t4\t102028\tM\tNeverM\t1975\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tCrafts\t4\t1\t2.4451138050702506\n4.218610847953261\t4\t101787\tF\tNeverM\t1966\tG: 130,000 - 149,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t0\t4.218610847953261\n2.043014377365254\t2\t103074\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\t?\t2\t1\t2.043014377365254\n2.6738366011313683\t3\t104339\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tBach.\t0\t2\tSales\t3\t1\t2.6738366011313683\n4.620710275658258\t4\t102264\tM\tMarried\t1967\tJ: 190,000 - 249,999\t15000\tBach.\t0\t3\tCleric.\t4\t0\t4.620710275658258\n2.6738366011313683\t2\t103280\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t1\t2.6738366011313683\n4.620710275658258\t4\t101646\tM\tMarried\t1962\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t4\t0\t4.620710275658258\n4.9940310492279325\t5\t103811\tM\tMarried\t1942\tG: 130,000 - 149,999\t1500\t7th-8th\t0\t3\tTransp.\t5\t0\t4.9940310492279325\n2.3128797344947984\t2\t100821\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tBach.\t0\t2\tOther\t2\t1\t2.3128797344947984\n1.926154416218452\t3\t102215\tM\tMarried\t1975\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tMachine\t3\t1\t1.926154416218452\n5.728217064791224\t5\t103343\tM\tMarried\t1950\tE: 90,000 - 109,999\t5000\tHS-grad\t1\t3\tTechSup\t5\t0\t5.728217064791224\n2.6738366011313683\t2\t103180\tM\tMarried\t1979\tL: 300,000 and above\t15000\tBach.\t0\t3\tProf.\t2\t1\t2.6738366011313683\n4.39198747959714\t3\t102666\tM\tNeverM\t1970\tE: 90,000 - 109,999\t9000\t< Bach.\t0\t1\t?\t3\t0\t4.39198747959714\n4.620710275658258\t5\t103400\tM\tMarried\t1962\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t5\t0\t4.620710275658258\n1.9387151250448273\t2\t102206\tM\tMarried\t1981\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t3\tHandler\t2\t1\t1.9387151250448273\n3.5364081532739675\t3\t104130\tF\tDivorc.\t1973\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t9+\tSales\t3\t0\t3.5364081532739675\n4.48572944742746\t5\t104035\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t7000\t< Bach.\t0\t9+\tSales\t5\t0\t4.48572944742746\n2.733429381838505\t2\t103644\tM\tNeverM\t1979\tD: 70,000 - 89,999\t1500\tBach.\t0\t2\tExec.\t2\t1\t2.733429381838505\n4.169289016042967\t2\t100326\tF\tDivorc.\t1963\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t9+\tCleric.\t2\t0\t4.169289016042967\n4.51849263582244\t4\t100254\tM\tMarried\t1969\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tExec.\t4\t0\t4.51849263582244\n2.043014377365254\t2\t104140\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t2\t1\t2.043014377365254\n1.9107803067898017\t2\t101465\tF\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\t1.9107803067898017\n2.271737173426372\t0\t100040\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tSales\t0\t1\t2.271737173426372\n1.397052757084566\t3\t102606\tF\tMarried\t1975\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t4-5\tCleric.\t3\t1\t1.397052757084566\n2.043014377365254\t2\t100284\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\t?\t2\t1\t2.043014377365254\n4.218610847953261\t2\t102837\tF\tSepar.\t1955\tC: 50,000 - 69,999\t3000\t9th\t0\t2\t?\t2\t0\t4.218610847953261\n2.6738366011313683\t4\t101758\tM\tMarried\t1977\tK: 250,000 - 299,999\t7000\tAssoc-V\t0\t3\tFarming\t4\t1\t2.6738366011313683\n1.926154416218452\t4\t103904\tM\tMarried\t1975\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t3\tCrafts\t4\t1\t1.926154416218452\n4.114311595632834\t5\t100908\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tHandler\t5\t0\t4.114311595632834\n4.610246980978388\t6\t102663\tM\tDivorc.\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t2\tCrafts\t6\t0\t4.610246980978388\n4.560621189977153\t7\t100913\tF\tWidowed\t1937\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t6-8\tSales\t7\t0\t4.560621189977153\n4.353282003822829\t6\t101033\tM\tMarried\t1939\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t6\t0\t4.353282003822829\n4.620710275658258\t6\t100602\tM\tNeverM\t1941\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\t4.620710275658258\n4.39198747959714\t3\t104056\tM\tMarried\t1972\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tCleric.\t3\t0\t4.39198747959714\n4.620710275658258\t4\t103894\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tMasters\t0\t3\tProf.\t4\t0\t4.620710275658258\n2.6738366011313683\t2\t104395\tM\tNeverM\t1980\tL: 300,000 and above\t11000\tBach.\t0\t2\tSales\t2\t1\t2.6738366011313683\n2.4451138050702506\t3\t102904\tM\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tProf.\t3\t1\t2.4451138050702506\n4.620710275658258\t9\t103744\tM\tMarried\t1967\tK: 250,000 - 299,999\t11000\tAssoc-V\t0\t3\tFarming\t9\t0\t4.620710275658258\n4.51849263582244\t4\t101246\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tExec.\t4\t0\t4.51849263582244\n4.620710275658258\t4\t100697\tM\tMarried\t1960\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t3\tCrafts\t4\t0\t4.620710275658258\n4.6969969244264576\t5\t101684\tM\tNeverM\t1966\tB: 30,000 - 49,999\t3000\tBach.\t0\t2\tExec.\t5\t0\t4.6969969244264576\n4.620710275658258\t5\t100178\tM\tMarried\t1954\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t5\t0\t4.620710275658258\n4.199664323340584\t3\t103403\tF\tWidowed\t1938\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tOther\t3\t0\t4.199664323340584\n5.801201708609597\t6\t100037\tM\tSepar.\t1957\tJ: 190,000 - 249,999\t9000\tProfsc\t1\t2\tProf.\t6\t0\t5.801201708609597\n5.898526350753855\t5\t100406\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t5\t0\t5.898526350753855\n4.508100357471065\t5\t100359\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t5\t0\t4.508100357471065\n5.07763059359732\t4\t103062\tM\tMarried\t1960\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tProf.\t4\t0\t5.07763059359732\n4.620710275658258\t10\t103636\tM\tMarried\t1945\tC: 50,000 - 69,999\t5000\tBach.\t0\t3\t?\t10\t0\t4.620710275658258\n4.2597534090216875\t4\t101989\tM\tNeverM\t1944\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t6-8\tOther\t4\t0\t4.2597534090216875\n4.765308253166815\t2\t102231\tM\tSepar.\t1973\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tTransp.\t2\t0\t4.765308253166815\n3.63567281250549\t4\t103781\tF\tMarried\t1967\tL: 300,000 and above\t9000\t< Bach.\t1\t4-5\tCleric.\t4\t0\t3.63567281250549\n5.306415930024286\t7\t103886\tM\tDivorc.\t1955\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tSales\t7\t0\t5.306415930024286\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_1677183508","id":"20200915-183827_1130526009","dateCreated":"2020-04-01T22:13:04+0000","dateStarted":"2020-09-15T22:37:44+0000","dateFinished":"2020-09-15T22:37:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Plot the predicted and actual years of residence ","text":"%python\n\nz.show(RES_DF[['PREDICTION', 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matplotlib, plot the predicted and actual years of residence","text":"%python\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nplt.style.use('seaborn')\nplt.figure(figsize=[9,7])\n\n\nx = RES_DF[['PREDICTION']].pull()\ny = RES_DF[['YRS_RESIDENCE']].pull()\nn = len(x)\nrefx = np.linspace(0, 15,n)\nplt.plot(refx, refx, '.')\nplt.plot(x, y, '.')\n\nplt.xlabel('PREDICTION')\nplt.ylabel('YRS_RESIDENCE')\nplt.title('The prediction and actual value for years of residence')\nplt.grid(True)\nplt.show()\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:45+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-1916241067","id":"20200915-183827_87066133","dateCreated":"2020-04-07T19:21:43+0000","dateStarted":"2020-09-15T22:37:45+0000","dateFinished":"2020-09-15T22:37:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Using matplotlib, plot the residuals","text":"%python\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nplt.style.use('seaborn')\nplt.figure(figsize=[9,7])\n\nx = np.matrix(RES_DF[['PREDICTION']].pull())\ny = np.matrix(RES_DF[['YRS_RESIDENCE']].pull())\nplt.plot(x, y-x, '.')\n\nplt.hlines(y=0, xmin=0, xmax=15, \n colors='black', linestyles='solid', alpha=0.8)\nplt.xlabel('PREDICTION')\nplt.ylabel('RESIDUAL')\nplt.title('Prediction vs. residuals')\nplt.grid(True)\nplt.show()\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:47+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_2020156021","id":"20200915-183827_1997136369","dateCreated":"2020-08-16T21:06:22+0000","dateStarted":"2020-09-15T22:37:47+0000","dateFinished":"2020-09-15T22:37:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Materialize TEST_DATA for use in query below","text":"%python\n\ntry:\n oml.drop(table = 'TEST_DATA')\nexcept:\n print(\"Table not exist\")\n_ = TEST.materialize(table = 'TEST_DATA')","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:49+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true,"tableHide":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107404_-1534674219","id":"20200915-183827_655526292","dateCreated":"2020-04-07T19:02:11+0000","dateStarted":"2020-09-15T22:37:49+0000","dateFinished":"2020-09-15T22:37:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"title":"Display predictions with explanatory prediction details","text":"%sql\n\nSELECT CUST_ID,\n round(PREDICTION_YRS_RES,3) PRED_YRS_RES,\n round(PRED_LOWER_LIMIT,1) LOWER_BOUND,\n round(PRED_UPPER_LIMIT,1) UPPER_BOUND,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE\n FROM (SELECT CUST_ID,\n PREDICTION(GLM_REGRESSION_MODEL USING *) PREDICTION_YRS_RES,\n PREDICTION_BOUNDS(GLM_REGRESSION_MODEL USING *).LOWER PRED_LOWER_LIMIT,\n PREDICTION_BOUNDS(GLM_REGRESSION_MODEL USING *).UPPER PRED_UPPER_LIMIT,\n PREDICTION_DETAILS(GLM_REGRESSION_MODEL USING *) PD\n FROM TEST_DATA\n WHERE CUST_ID < 100015\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PD\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]') \n OUTPRED","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED_YRS_RES":"string","LOWER_BOUND":"string","UPPER_BOUND":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPRED_YRS_RES\tLOWER_BOUND\tUPPER_BOUND\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\n100002\t4.219\t4.1\t4.4\t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".031\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1962\" weight=\".013\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\"-.956\" \n100003\t4.392\t4.3\t4.5\t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".026\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1969\" weight=\".007\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\"-.967\" \n100005\t5.273\t5.2\t5.4\t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-.047\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1957\" weight=\"-.151\" \t\"AFFINITY_CARD\" actualValue=\"1\" weight=\"-.157\" \n100009\t2.22\t2\t2.4\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".419\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1974\" weight=\".365\" \t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".216\" \n100010\t2.674\t2.6\t2.8\t\"OCCUPATION\" actualValue=\"Crafts\" weight=\".058\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1975\" weight=\".058\" \t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".018\" \n100012\t5.286\t4.7\t5.8\t\"EDUCATION\" actualValue=\"PhD\" weight=\".037\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-.035\" \t\"AFFINITY_CARD\" actualValue=\"1\" weight=\"-.415\" \n100014\t4.968\t4.8\t5.1\t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".012\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1954\" weight=\".01\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".008\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195107404_-875323806","id":"20200915-183827_1181094348","dateCreated":"2020-04-07T19:00:40+0000","dateStarted":"2020-09-15T22:37:50+0000","dateFinished":"2020-09-15T22:37:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"text":"%md\n# End of Script","user":"OMLUSER","dateUpdated":"2020-09-15T22:37:53+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
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diff --git a/machine-learning/notebooks/python/OML4Py_Statistical_Functions.json b/machine-learning/notebooks/python/OML4Py_Statistical_Functions.json
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+{"paragraphs":[{"text":"%md\n# OML4Py Statistical Functions\n\nIn this notebook, you will use the SH schema data to to explore descriptive statistics performed through the OML4Py transparency layer. \n\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:19+0000","config":{"colWidth":9,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
OML4Py Statistical Functions
\n
In this notebook, you will use the SH schema data to to explore descriptive statistics performed through the OML4Py transparency layer.
\n
Copyright (c) 2020 Oracle Corporation
\n
\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107137_-1841964792","id":"20200915-183827_200347075","dateCreated":"2020-04-13T21:46:21+0000","dateStarted":"2020-09-15T22:45:19+0000","dateFinished":"2020-09-15T22:45:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n
\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/statistics-5663173.jpg\")
\n
","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:22+0000","config":{"colWidth":3,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107137_1426492845","id":"20200915-183827_213959730","dateCreated":"2020-08-10T16:42:53+0000","dateStarted":"2020-09-15T22:45:22+0000","dateFinished":"2020-09-15T22:45:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation
\nOML folder on Oracle Github \nOML web page: \nFor more statistical functions in the Documentation, start here: \n","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:22+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
For more statistical functions in the Documentation, start here: https://docs.oracle.com/en/database/oracle/oracle-database/20/sqlrf/STATS_T_TEST_.html
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107137_2110271309","id":"20200915-183827_914430700","dateCreated":"2020-04-13T21:46:44+0000","dateStarted":"2020-09-15T22:45:23+0000","dateFinished":"2020-09-15T22:45:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Import libraries and set display options","text":"%python\n\nimport oml\nimport pandas as pd\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:23+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107137_-818439092","id":"20200915-183827_1319785607","dateCreated":"2020-04-28T16:30:53+0000","dateStarted":"2020-09-15T22:45:23+0000","dateFinished":"2020-09-15T22:45:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display a few rows of the dataset","text":"%python\n\nCUST_DF = oml.sync(query = 'SELECT CUST_ID, CUST_FIRST_NAME, CUST_LAST_NAME, CUST_MARITAL_STATUS, CUST_CREDIT_LIMIT, CUST_INCOME_LEVEL, CUST_GENDER FROM SH.CUSTOMERS')\nz.show(CUST_DF.head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:32+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_MARITAL_STATUS":"string","CUST_CREDIT_LIMIT":"string","CUST_INCOME_LEVEL":"string","CUST_GENDER":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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149,999\tM\n"}]},"interrupted":false,"jobName":"paragraph_1600195107137_436870782","id":"20200915-183827_1295439748","dateCreated":"2020-04-13T21:47:02+0000","dateStarted":"2020-09-15T22:45:32+0000","dateFinished":"2020-09-15T22:45:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display median CUST_CREDIT_LIMIT grouped by CUST_MARITAL_STATUS","text":"%python\n\nz.show(CUST_DF.crosstab(index = ['CUST_MARITAL_STATUS'], values = 'CUST_CREDIT_LIMIT', aggfunc = oml.DataFrame.median))","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:33+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":262,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","median(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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CUST_MARITAL_STATUS in descending order","text":"%python\n\nz.show(CUST_DF.crosstab(index = ['CUST_MARITAL_STATUS'], values = 'CUST_CREDIT_LIMIT', aggfunc = oml.DataFrame.median).sort_values('median(CUST_CREDIT_LIMIT)', ascending = False))","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:34+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":308,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","median(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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CUST_CREDIT_LIMIT","text":"%python\n\nCUST_DF['CUST_CREDIT_LIMIT'].median()","user":"OMLUSER","dateUpdated":"2020-09-15T22:45:35+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"python","editOnDblClick":false,"completionSupport":true},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"7000.0\n"}]},"interrupted":false,"jobName":"paragraph_1600195107137_-1214571089","id":"20200915-183827_1697067748","dateCreated":"2020-04-13T21:49:01+0000","dateStarted":"2020-09-15T22:45:35+0000","dateFinished":"2020-09-15T22:45:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display kurtosis of 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diff --git a/machine-learning/notebooks/python/OML4Py_Text_Mining.json b/machine-learning/notebooks/python/OML4Py_Text_Mining.json
new file mode 100644
index 00000000..1632e342
--- /dev/null
+++ b/machine-learning/notebooks/python/OML4Py_Text_Mining.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n## Building Model using Text Mining Capability in Oracle Machine Learning \nOracle Machine Learning not only handles structured data, but also enables automatically building an model based on unstructured data like text. By leveraging Oracle Text functionality, useful features can be automatically extracted from the text column and then picked up to build the model automatically. \n\nIn this notebook, we build an SVM model to predict customers most likely to be positive responders to an Affinity Card loyalty program. The data comes with a text column that contains user comments. With a few extra queries, the model automatically utilizes the text column in the dataset and build model on both structured and unstructured columns from the table. \n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:36+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Building Model using Text Mining Capability in Oracle Machine Learning
\nOracle Machine Learning not only handles structured data, but also enables automatically building an model based on unstructured data like text. By leveraging Oracle Text functionality, useful features can be automatically extracted from the text column and then picked up to build the model automatically.
\nIn this notebook, we build an SVM model to predict customers most likely to be positive responders to an Affinity Card loyalty program. The data comes with a text column that contains user comments. With a few extra queries, the model automatically utilizes the text column in the dataset and build model on both structured and unstructured columns from the table.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_1139180534","id":"20200915-183827_279588098","dateCreated":"2020-06-05T23:39:29+0000","dateStarted":"2020-09-15T22:59:36+0000","dateFinished":"2020-09-15T22:59:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md\r\nOracle ADW Documentation \r\nOML folder on Oracle Github \r\nOML web page: \r\nOML Text Mining: ","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Text Mining: https://docs.oracle.com/en/database/oracle/oracle-database/19/dmapi/mining-unstructured-text.html
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_-1235045701","id":"20200915-183827_1871760577","dateCreated":"2020-06-10T19:10:42+0000","dateStarted":"2020-09-15T22:59:39+0000","dateFinished":"2020-09-15T22:59:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Import libraries and set display options","text":"%python\n\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport oml\n\npd.set_option('display.max_rows', 500)\npd.set_option('display.max_columns', 500)\npd.set_option('display.width', 1000)","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107656_-2032591803","id":"20200915-183827_1383288087","dateCreated":"2020-06-05T23:57:14+0000","dateStarted":"2020-09-15T22:59:39+0000","dateFinished":"2020-09-15T22:59:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Prepare data","text":"%python\n\nCUSTOMERS = oml.sync( query = 'SELECT CUST_ID, COUNTRY_ID, CUST_GENDER, 2003-CUST_YEAR_OF_BIRTH AGE, CUST_MARITAL_STATUS, CUST_INCOME_LEVEL FROM sh.customers WHERE cust_id between 100001 and 104500')\nSUPP_DEMO = oml.sync(query = '''SELECT CUST_ID, EDUCATION, OCCUPATION, HOUSEHOLD_SIZE, YRS_RESIDENCE, AFFINITY_CARD,\n BULK_PACK_DISKETTES, FLAT_PANEL_MONITOR, HOME_THEATER_PACKAGE, BOOKKEEPING_APPLICATION, PRINTER_SUPPLIES, Y_BOX_GAMES,os_doc_set_kanji, comments FROM sh.supplementary_demographics''')\n \nCOUNTRIES = oml.sync(query = 'SELECT COUNTRY_NAME, COUNTRY_ID FROM SH.COUNTRIES')\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:48+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/undefined","fontSize":9,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107656_2083003051","id":"20200915-183827_511994349","dateCreated":"2020-06-05T23:39:19+0000","dateStarted":"2020-09-15T22:59:49+0000","dateFinished":"2020-09-15T22:59:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Generate dataset by joining tables of customer details","text":"%python\n\nMINING_DATA = CUSTOMERS.merge(SUPP_DEMO, how = \"inner\", on = 'CUST_ID',suffixes = [\"\",\"\"])\nMINING_DATA = MINING_DATA.merge(COUNTRIES, how = \"inner\", on = 'COUNTRY_ID', suffixes = [\"\", \"\"])\nMINING_DATA = MINING_DATA[[ 'CUST_ID', 'CUST_GENDER', 'AGE', 'CUST_MARITAL_STATUS', 'COUNTRY_NAME', 'CUST_INCOME_LEVEL', 'EDUCATION', 'OCCUPATION', 'HOUSEHOLD_SIZE', 'YRS_RESIDENCE', 'AFFINITY_CARD', 'BULK_PACK_DISKETTES', 'FLAT_PANEL_MONITOR', 'HOME_THEATER_PACKAGE',\n 'BOOKKEEPING_APPLICATION', 'PRINTER_SUPPLIES', 'Y_BOX_GAMES', 'OS_DOC_SET_KANJI', 'COMMENTS']]","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:49+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107656_196656043","id":"20200915-183827_1602721026","dateCreated":"2020-06-08T00:57:54+0000","dateStarted":"2020-09-15T22:59:49+0000","dateFinished":"2020-09-15T22:59:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display a few rows of the dataset","text":"%python\n\nz.show(MINING_DATA.head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{"columns":[{"name":"CUST_ID","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_GENDER","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"AGE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"COUNTRY_NAME","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_MARITAL_STATUS","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CUST_INCOME_LEVEL","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"EDUCATION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"OCCUPATION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"HOUSEHOLD_SIZE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"AFFINITY_CARD","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"BULK_PACK_DISKETTES","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"FLAT_PANEL_MONITOR","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"HOME_THEATER_PACKAGE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"BOOKKEEPING_APPLICATION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PRINTER_SUPPLIES","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"Y_BOX_GAMES","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"OS_DOC_SET_KANJI","visible":true,"width":223,"sort":{},"filters":[{}],"pinned":""},{"name":"COMMENTS","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","AGE":"string","CUST_MARITAL_STATUS":"string","COUNTRY_NAME":"string","CUST_INCOME_LEVEL":"string","EDUCATION":"string","OCCUPATION":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","AFFINITY_CARD":"string","BULK_PACK_DISKETTES":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","BOOKKEEPING_APPLICATION":"string","PRINTER_SUPPLIES":"string","Y_BOX_GAMES":"string","OS_DOC_SET_KANJI":"string","COMMENTS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tAGE\tCUST_MARITAL_STATUS\tCOUNTRY_NAME\tCUST_INCOME_LEVEL\tEDUCATION\tOCCUPATION\tHOUSEHOLD_SIZE\tYRS_RESIDENCE\tAFFINITY_CARD\tBULK_PACK_DISKETTES\tFLAT_PANEL_MONITOR\tHOME_THEATER_PACKAGE\tBOOKKEEPING_APPLICATION\tPRINTER_SUPPLIES\tY_BOX_GAMES\tOS_DOC_SET_KANJI\tCOMMENTS\n102547\tF\t17\tNeverM\tUnited States of America\tI: 170,000 - 189,999\t10th\tOther\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tNone\n101050\tM\t17\tNeverM\tUnited States of America\tL: 300,000 and above\t10th\tOther\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tNone\n100040\tF\t17\tNeverM\tUnited States of America\tJ: 190,000 - 249,999\t11th\tSales\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tNone\n102117\tM\t19\tNeverM\tUnited States of America\tB: 30,000 - 49,999\tHS-grad\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tNone\n101074\tM\t17\tNeverM\tUnited States of America\tJ: 190,000 - 249,999\t10th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tNone\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_1134888078","id":"20200915-183827_915979511","dateCreated":"2020-06-05T23:39:49+0000","dateStarted":"2020-09-15T22:59:50+0000","dateFinished":"2020-09-15T22:59:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Notice the text column 'COMMENTS'","text":"%python\n\nz.show(MINING_DATA[MINING_DATA['COMMENTS'].isnull() == False][['CUST_ID', 'COMMENTS']].head())","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:50+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","COMMENTS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCOMMENTS\n103476\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102624\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n103693\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n101639\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102847\tAffinity card makese sense only for bulk purchases. For all others, driving so far is not worth the discount. Either offer free shipping or build a store close by.\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_-1854156923","id":"20200915-183827_2127254726","dateCreated":"2020-06-08T01:02:02+0000","dateStarted":"2020-09-15T22:59:51+0000","dateFinished":"2020-09-15T22:59:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Filter out rows with no comments","text":"%python\n\nMINING_TEXT = MINING_DATA[MINING_DATA['COMMENTS'].isnull() == False]\ntry:\n oml.drop(table = 'MINING_TEXT')\nexcept:\n print(\"No such table\")\nMINING_TEXT.materialize(table = 'MINING_TEXT')\nMINING_TEXT = oml.sync(table = 'MINING_TEXT')","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:51+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"No such table\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_-1783898858","id":"20200915-183827_1128108531","dateCreated":"2020-06-06T00:45:19+0000","dateStarted":"2020-09-15T22:59:52+0000","dateFinished":"2020-09-15T22:59:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Prepare the train and test datasets","text":"%python\n\ndat = MINING_TEXT.split(ratio=(0.8, 0.2), seed = 6218945)\ntrain_x = dat[0].drop('AFFINITY_CARD')\ntrain_y = dat[0]['AFFINITY_CARD']\ntest_dat = dat[1]","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:53+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107656_-2094165044","id":"20200915-183827_552678163","dateCreated":"2020-06-06T00:04:27+0000","dateStarted":"2020-09-15T22:59:53+0000","dateFinished":"2020-09-15T22:59:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Drop and create Oracle Text policy object","text":"%python\n\nfrom oml import cursor\ncur = cursor()\ncur.execute(\"BEGIN ctx_ddl.drop_policy('DM_SVM_POLICY'); EXCEPTION WHEN OTHERS THEN NULL; END;\")\ncur.execute(\"BEGIN ctx_ddl.create_policy('DM_SVM_POLICY'); END;\")\ncur.close()","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:54+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107656_-1979777003","id":"20200915-183827_1400724734","dateCreated":"2020-06-06T00:50:22+0000","dateStarted":"2020-09-15T22:59:54+0000","dateFinished":"2020-09-15T22:59:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Alternatively, drop and create Oracle Text policy in PL/SQL","text":"%script\n\nBEGIN \n ctx_ddl.drop_policy('DM_SVM_POLICY'); \nEXCEPTION WHEN OTHERS THEN NULL; \nEND;\nBEGIN \n ctx_ddl.create_policy('DM_SVM_POLICY'); \nEND;","user":"OMLUSER","dateUpdated":"2020-08-20T20:42:55+0000","config":{"colWidth":12,"fontSize":9,"enabled":false,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"interrupted":false,"jobName":"paragraph_1600195107656_1273723911","id":"20200915-183827_1999920947","dateCreated":"2020-06-10T17:09:52+0000","status":"READY","progressUpdateIntervalMs":500,"commited":false,"$$hashKey":"object:157"},{"title":"Build the model combining structured data with unstructured text column","text":"%python\n\nodm_settings = {'odms_text_policy_name': 'DM_SVM_POLICY', '\"ODMS_TEXT_MIN_DOCUMENTS\"': 1,'\"ODMS_TEXT_MAX_FEATURES\"': 3000}\nctx_settings = {'COMMENTS': 'TEXT(POLICY_NAME:DM_SVM_POLICY)(TOKEN_TYPE:STEM)'}\nsvm_mod = oml.svm(\"classification\", **odm_settings)\nsvm_mod.fit(x = train_x, y = train_y, case_id = 'CUST_ID', ctx_settings = ctx_settings)\n","user":"OMLUSER","dateUpdated":"2020-09-15T22:59:57+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nAlgorithm Name: Support Vector Machine\n\nMining Function: CLASSIFICATION\n\nTarget: AFFINITY_CARD\n\nSettings: \n setting name setting value\n0 ALGO_NAME ALGO_SUPPORT_VECTOR_MACHINES\n1 CLAS_WEIGHTS_BALANCED OFF\n2 ODMS_DETAILS ODMS_ENABLE\n3 ODMS_MISSING_VALUE_TREATMENT ODMS_MISSING_VALUE_AUTO\n4 ODMS_SAMPLING ODMS_SAMPLING_DISABLE\n5 ODMS_TEXT_MAX_FEATURES 3000\n6 ODMS_TEXT_MIN_DOCUMENTS 1\n7 ODMS_TEXT_POLICY_NAME DM_SVM_POLICY\n8 PREP_AUTO ON\n9 SVMS_CONV_TOLERANCE .0001\n10 SVMS_KERNEL_FUNCTION SVMS_LINEAR\n\nComputed Settings: \n setting name setting value\n0 SVMS_COMPLEXITY_FACTOR 10\n1 SVMS_NUM_ITERATIONS 30\n2 SVMS_SOLVER SVMS_SOLVER_IPM\n\nGlobal Statistics: \n CONVERGED ITERATIONS NUM_ROWS\n0 YES 18.0 3437.0\n\nAttributes: \nAGE\nBOOKKEEPING_APPLICATION\nBULK_PACK_DISKETTES\nCOMMENTS\nCOUNTRY_NAME\nCUST_GENDER\nCUST_INCOME_LEVEL\nCUST_MARITAL_STATUS\nEDUCATION\nFLAT_PANEL_MONITOR\nHOME_THEATER_PACKAGE\nHOUSEHOLD_SIZE\nOCCUPATION\nOS_DOC_SET_KANJI\nPRINTER_SUPPLIES\nYRS_RESIDENCE\nY_BOX_GAMES\n\nPartition: NO\n\nCOEFFICIENTS: \n\n TARGET_VALUE ATTRIBUTE_NAME ATTRIBUTE_SUBNAME ATTRIBUTE_VALUE COEF\n0 1 AGE None None -0.1460\n1 1 BOOKKEEPING_APPLICATION None None 0.2734\n2 1 BULK_PACK_DISKETTES None None -0.0126\n3 1 COMMENTS 10 None 1.7737\n4 1 COMMENTS ABOUT None 1.3772\n5 1 COMMENTS ACCOUNT None -0.2607\n6 1 COMMENTS ADDRESS None 1.5673\n7 1 COMMENTS ADVERTISED None -0.9846\n8 1 COMMENTS AFFINITY None 0.5514\n9 1 COMMENTS AFTER None -0.7498\n10 1 COMMENTS AGAIN None 1.2237\n11 1 COMMENTS ALREADY None -1.2259\n12 1 COMMENTS AM None 1.1270\n13 1 COMMENTS AMAZING None -1.2203\n14 1 COMMENTS ANYTHING None -0.7776\n15 1 COMMENTS APPLY None 1.8730\n16 1 COMMENTS ARIZONA None -0.0093\n17 1 COMMENTS ASK None -0.5609\n18 1 COMMENTS ATTRACT None -0.7498\n19 1 COMMENTS AUSTRALIA None 1.0206\n20 1 COMMENTS AWAY None -1.4821\n21 1 COMMENTS BEFORE None -0.0131\n22 1 COMMENTS BETTER None -0.2705\n23 1 COMMENTS BIT None -0.5609\n24 1 COMMENTS BRING None -0.5781\n25 1 COMMENTS BROTHER None -0.2529\n26 1 COMMENTS BUILD None -0.7813\n27 1 COMMENTS BULK None -0.1135\n28 1 COMMENTS BUY None -1.1282\n29 1 COMMENTS CARD None 0.3741\n30 1 COMMENTS CARDS None -0.5629\n31 1 COMMENTS CHANCE None 0.8088\n32 1 COMMENTS CHANGE None -0.7776\n33 1 COMMENTS CHILDREN None -0.5609\n34 1 COMMENTS CLOSE None -0.7813\n35 1 COMMENTS COMPETITOR None 0.8666\n36 1 COMMENTS COMPLAIN None -0.5609\n37 1 COMMENTS COMPUTER None -2.2205\n38 1 COMMENTS CONSIDER None -1.2218\n39 1 COMMENTS CONSIDERED None 1.0206\n40 1 COMMENTS CONVENIENCE None 0.8088\n41 1 COMMENTS COST None -0.9846\n42 1 COMMENTS CUSTOMER None -3.9367\n43 1 COMMENTS DEAL None -0.8351\n44 1 COMMENTS DEAR None -0.5629\n45 1 COMMENTS DELIGHTED None 1.4059\n46 1 COMMENTS DIDN None -1.3821\n47 1 COMMENTS DIRECTLY None -0.0849\n48 1 COMMENTS DISCOUNT None -0.6005\n49 1 COMMENTS DISCOUNTS None -0.4308\n50 1 COMMENTS DOCUMENTATION None -1.3332\n51 1 COMMENTS DON None -0.8389\n52 1 COMMENTS DRIVING None -0.7813\n53 1 COMMENTS ELECTRONIC None -0.8351\n54 1 COMMENTS ELIGIBLE None 0.8088\n55 1 COMMENTS ELSE None -0.0131\n56 1 COMMENTS ELSEWHERE None -1.4821\n57 1 COMMENTS END None -1.0305\n58 1 COMMENTS ENOUGH None -0.7498\n59 1 COMMENTS ETC None -0.5609\n60 1 COMMENTS EVEN None 0.7237\n61 1 COMMENTS EVER None 1.0206\n62 1 COMMENTS EVERY None 0.7270\n63 1 COMMENTS EVERYONE None -0.0131\n64 1 COMMENTS EVERYTHING None 0.0360\n65 1 COMMENTS EXCELLENT None 1.8730\n66 1 COMMENTS EXPENSIVE None 0.0181\n67 1 COMMENTS FAR None -0.7813\n68 1 COMMENTS FEEL None -0.5629\n69 1 COMMENTS FEW None 1.0206\n70 1 COMMENTS FILLING None -0.0983\n71 1 COMMENTS FLAT None -0.1792\n72 1 COMMENTS FORGET None 2.5360\n73 1 COMMENTS FORM None -0.0983\n74 1 COMMENTS FRANCE None 1.5673\n75 1 COMMENTS FREE None -0.0095\n76 1 COMMENTS GET None 1.6563\n77 1 COMMENTS GETTING None 0.0873\n78 1 COMMENTS GIFTS None 1.0206\n79 1 COMMENTS GIMMICKS None 1.7737\n80 1 COMMENTS GIVE None -0.3487\n81 1 COMMENTS GIVING None 0.0936\n82 1 COMMENTS GOING None -0.0983\n83 1 COMMENTS GOOD None -0.0115\n84 1 COMMENTS GREAT None -0.7743\n85 1 COMMENTS HAPPY None 0.4941\n86 1 COMMENTS HASSLE None -0.5781\n87 1 COMMENTS HENCE None -0.2607\n88 1 COMMENTS IDEA None 1.0730\n89 1 COMMENTS IMMEDIATELY None 1.4059\n90 1 COMMENTS IMPOSES None -0.5629\n91 1 COMMENTS IMPRESSED None 0.6668\n92 1 COMMENTS INCLUDED None 0.9186\n93 1 COMMENTS INFORMATION None 0.0936\n94 1 COMMENTS INVASION None -0.5629\n95 1 COMMENTS ITEMS None -0.3482\n96 1 COMMENTS JUNK None -0.0012\n97 1 COMMENTS KEEP None 1.1660\n98 1 COMMENTS KNOW None -0.0454\n99 1 COMMENTS LARGE None 0.8088\n100 1 COMMENTS LARGER None 0.8088\n101 1 COMMENTS LAST None -0.1949\n102 1 COMMENTS LATE None 1.6133\n103 1 COMMENTS LATEST None -0.9846\n104 1 COMMENTS LET None 2.1793\n105 1 COMMENTS LIKE None 1.8466\n106 1 COMMENTS LINE None -1.2537\n107 1 COMMENTS LIST None -1.2284\n108 1 COMMENTS LITTLE None 1.6133\n109 1 COMMENTS LIVE None 1.0206\n110 1 COMMENTS LOOK None -0.2607\n111 1 COMMENTS LOT None -0.7348\n112 1 COMMENTS LOUSY None -2.1280\n113 1 COMMENTS LOVE None -2.7158\n114 1 COMMENTS LOYAL None -1.2218\n115 1 COMMENTS LOYALTY None -0.2607\n116 1 COMMENTS M None 0.0936\n117 1 COMMENTS MADE None 1.8730\n118 1 COMMENTS MAIL None -0.0012\n119 1 COMMENTS MAKESE None -0.7813\n120 1 COMMENTS MANAGER None -0.9364\n121 1 COMMENTS MANUALS None -0.0849\n122 1 COMMENTS MANY None -0.8890\n123 1 COMMENTS MEMBERSHIP None 0.0873\n124 1 COMMENTS MODEL None -0.9846\n125 1 COMMENTS MONITOR None -0.1792\n126 1 COMMENTS MONTH None -0.7395\n127 1 COMMENTS MORE None -2.3602\n128 1 COMMENTS MOSTLY None -1.0305\n129 1 COMMENTS MOTHER None 1.0480\n130 1 COMMENTS MOUSE None -0.0444\n131 1 COMMENTS MOVE None -0.7498\n132 1 COMMENTS MOVED None 1.0206\n133 1 COMMENTS MUCH None -1.7869\n134 1 COMMENTS NAME None -1.2284\n135 1 COMMENTS NEED None -1.2865\n136 1 COMMENTS NEVER None 2.2015\n137 1 COMMENTS NEW None -0.5416\n138 1 COMMENTS NOW None 0.5726\n139 1 COMMENTS OFFER None -1.9714\n140 1 COMMENTS OFFERING None 0.7309\n141 1 COMMENTS OFTEN None -0.5629\n142 1 COMMENTS ONCE None 1.4059\n143 1 COMMENTS OTHER None 3.5844\n144 1 COMMENTS OTHERS None -0.7813\n145 1 COMMENTS PADS None -0.0444\n146 1 COMMENTS PAGE None -0.0983\n147 1 COMMENTS PAIN None -0.8351\n148 1 COMMENTS PANEL None -0.1792\n149 1 COMMENTS PAST None 0.0873\n150 1 COMMENTS PERSONAL None -0.3487\n151 1 COMMENTS PLEASE None -1.4484\n152 1 COMMENTS PLEASED None 1.4059\n153 1 COMMENTS PRICE None -0.2607\n154 1 COMMENTS PRICES None 0.9670\n155 1 COMMENTS PRIVACY None -0.3538\n156 1 COMMENTS PRODUCTS None -0.5602\n157 1 COMMENTS PROGRAM None -0.9562\n158 1 COMMENTS PROMOTIONS None -1.2259\n159 1 COMMENTS PURCHASE None 1.3183\n160 1 COMMENTS PURCHASED None 0.1025\n161 1 COMMENTS PURCHASES None 0.0224\n162 1 COMMENTS QUANTITY None 0.8088\n163 1 COMMENTS QUESTIONS None -0.5609\n164 1 COMMENTS RARELY None -0.2607\n165 1 COMMENTS READY None -0.7498\n166 1 COMMENTS RECEIVED None 0.0873\n167 1 COMMENTS RECENTLY None 0.5143\n168 1 COMMENTS RECORD None -1.5181\n169 1 COMMENTS REMEMBER None -0.4717\n170 1 COMMENTS REMOVE None -1.2284\n171 1 COMMENTS RESPECT None 0.0936\n172 1 COMMENTS RETURN None -0.8351\n173 1 COMMENTS RUN None 0.8088\n174 1 COMMENTS SALE None -1.3791\n175 1 COMMENTS SATISFIED None 0.9602\n176 1 COMMENTS SAY None -1.5181\n177 1 COMMENTS SEND None 0.1220\n178 1 COMMENTS SENDING None 2.7815\n179 1 COMMENTS SENSE None -0.7813\n180 1 COMMENTS SENT None 1.4059\n181 1 COMMENTS SERVICE None -1.2218\n182 1 COMMENTS SEVERAL None 0.9602\n183 1 COMMENTS SHIP None -0.0736\n184 1 COMMENTS SHIPPING None -0.0095\n185 1 COMMENTS SHOP None -0.4012\n186 1 COMMENTS SHOPPED None 1.4059\n187 1 COMMENTS SHOPPERS None -0.7498\n188 1 COMMENTS SHOPPING None -0.6983\n189 1 COMMENTS SHOPS None 3.5844\n190 1 COMMENTS SIGNED None -0.6687\n191 1 COMMENTS SISTER None 1.2445\n192 1 COMMENTS SMALL None 0.8088\n193 1 COMMENTS SORRY None -0.5602\n194 1 COMMENTS SPEAK None 0.0873\n195 1 COMMENTS SPECIALS None -0.9240\n196 1 COMMENTS START None -0.0131\n197 1 COMMENTS STARTED None 0.0360\n198 1 COMMENTS STOPPED None -0.8351\n199 1 COMMENTS STORE None -1.8061\n200 1 COMMENTS STORES None 1.6133\n201 1 COMMENTS TEXAS None 5.2929\n202 1 COMMENTS THANK None 0.7704\n203 1 COMMENTS THANKS None 0.5745\n204 1 COMMENTS THINGS None -1.0305\n205 1 COMMENTS THINK None 0.3873\n206 1 COMMENTS THREE None -0.0983\n207 1 COMMENTS THREW None -1.4821\n208 1 COMMENTS TIME None 0.5125\n209 1 COMMENTS TIMES None -1.2325\n210 1 COMMENTS TIRED None 0.5423\n211 1 COMMENTS TOLD None 1.9473\n212 1 COMMENTS TRIED None -0.8351\n213 1 COMMENTS UNHAPPY None 0.7908\n214 1 COMMENTS UP None 0.2474\n215 1 COMMENTS UPBUYING None -1.0305\n216 1 COMMENTS UPGRADE None -0.9846\n217 1 COMMENTS US None -0.5609\n218 1 COMMENTS USE None 0.1590\n219 1 COMMENTS USED None -1.6557\n220 1 COMMENTS USES None -0.2705\n221 1 COMMENTS USUALLY None -0.2607\n222 1 COMMENTS VARIETY None -0.7498\n223 1 COMMENTS WANT None -0.6921\n224 1 COMMENTS WANTED None 0.9602\n225 1 COMMENTS WASTE None -0.0983\n226 1 COMMENTS WAY None -0.7498\n227 1 COMMENTS WEEK None -0.9846\n228 1 COMMENTS WEEKLY None -0.9240\n229 1 COMMENTS WEREN None -0.0849\n230 1 COMMENTS WISH None 0.0936\n231 1 COMMENTS WITHOUT None -0.2705\n232 1 COMMENTS WORK None 1.7099\n233 1 COMMENTS WORTH None -0.7813\n234 1 COMMENTS WRITE None 0.9602\n235 1 COMMENTS YEARS None -0.0131\n236 1 COUNTRY_NAME None Argentina -0.3938\n237 1 COUNTRY_NAME None Australia -0.4916\n238 1 COUNTRY_NAME None Brazil -0.1988\n239 1 COUNTRY_NAME None Canada 1.5125\n240 1 COUNTRY_NAME None China 0.0000\n241 1 COUNTRY_NAME None Denmark 0.0000\n242 1 COUNTRY_NAME None France 0.0000\n243 1 COUNTRY_NAME None Germany 0.0895\n244 1 COUNTRY_NAME None Italy -0.3943\n245 1 COUNTRY_NAME None Japan 0.0000\n246 1 COUNTRY_NAME None New Zealand 0.0000\n247 1 COUNTRY_NAME None Poland -1.1204\n248 1 COUNTRY_NAME None Saudi Arabia 1.3478\n249 1 COUNTRY_NAME None Singapore -0.5296\n250 1 COUNTRY_NAME None South Africa 0.0000\n251 1 COUNTRY_NAME None Spain 0.0000\n252 1 COUNTRY_NAME None Turkey -0.1481\n253 1 COUNTRY_NAME None United Kingdom 0.4888\n254 1 COUNTRY_NAME None United States of America -0.1620\n255 1 CUST_GENDER None F -0.2174\n256 1 CUST_GENDER None M 0.2174\n257 1 CUST_INCOME_LEVEL None A: Below 30,000 -0.0821\n258 1 CUST_INCOME_LEVEL None B: 30,000 - 49,999 -0.1808\n259 1 CUST_INCOME_LEVEL None C: 50,000 - 69,999 0.0073\n260 1 CUST_INCOME_LEVEL None D: 70,000 - 89,999 0.0688\n261 1 CUST_INCOME_LEVEL None E: 90,000 - 109,999 0.1965\n262 1 CUST_INCOME_LEVEL None F: 110,000 - 129,999 0.0137\n263 1 CUST_INCOME_LEVEL None G: 130,000 - 149,999 -0.0173\n264 1 CUST_INCOME_LEVEL None H: 150,000 - 169,999 0.2057\n265 1 CUST_INCOME_LEVEL None I: 170,000 - 189,999 0.1104\n266 1 CUST_INCOME_LEVEL None J: 190,000 - 249,999 0.1593\n267 1 CUST_INCOME_LEVEL None K: 250,000 - 299,999 -0.2608\n268 1 CUST_INCOME_LEVEL None L: 300,000 and above -0.2206\n269 1 CUST_MARITAL_STATUS None Divorc. -0.0064\n270 1 CUST_MARITAL_STATUS None Mabsent 0.0984\n271 1 CUST_MARITAL_STATUS None Mar-AF -1.0121\n272 1 CUST_MARITAL_STATUS None Married 0.7690\n273 1 CUST_MARITAL_STATUS None NeverM 0.0973\n274 1 CUST_MARITAL_STATUS None Separ. 0.4189\n275 1 CUST_MARITAL_STATUS None Widowed -0.3652\n276 1 EDUCATION None 10th -0.0207\n277 1 EDUCATION None 11th -0.2618\n278 1 EDUCATION None 12th -0.2562\n279 1 EDUCATION None 1st-4th 0.0000\n280 1 EDUCATION None 5th-6th 0.0000\n281 1 EDUCATION None 7th-8th 0.1083\n282 1 EDUCATION None 9th 0.3439\n283 1 EDUCATION None < Bach. -0.4278\n284 1 EDUCATION None Assoc-A 0.1106\n285 1 EDUCATION None Assoc-V -0.5395\n286 1 EDUCATION None Bach. -0.0281\n287 1 EDUCATION None HS-grad -0.4022\n288 1 EDUCATION None Masters 0.0464\n289 1 EDUCATION None PhD 0.9167\n290 1 EDUCATION None Presch. 0.0000\n291 1 EDUCATION None Profsc 0.4104\n292 1 FLAT_PANEL_MONITOR None None 0.0248\n293 1 HOME_THEATER_PACKAGE None None 0.1701\n294 1 HOUSEHOLD_SIZE None 1 -0.2043\n295 1 HOUSEHOLD_SIZE None 2 -0.2494\n296 1 HOUSEHOLD_SIZE None 3 0.5076\n297 1 HOUSEHOLD_SIZE None 4-5 1.2811\n298 1 HOUSEHOLD_SIZE None 6-8 -1.2076\n299 1 HOUSEHOLD_SIZE None 9+ -0.1275\n300 1 OCCUPATION None ? -0.2533\n301 1 OCCUPATION None Armed-F 0.6799\n302 1 OCCUPATION None Cleric. 0.5313\n303 1 OCCUPATION None Crafts -0.7328\n304 1 OCCUPATION None Exec. 0.7023\n305 1 OCCUPATION None Farming -0.7966\n306 1 OCCUPATION None Handler -0.6069\n307 1 OCCUPATION None House-s 0.0000\n308 1 OCCUPATION None Machine 0.1041\n309 1 OCCUPATION None Other -0.7376\n310 1 OCCUPATION None Prof. 0.6200\n311 1 OCCUPATION None Protec. 0.3349\n312 1 OCCUPATION None Sales 0.5465\n313 1 OCCUPATION None TechSup 0.3110\n314 1 OCCUPATION None Transp. -0.7027\n315 1 OS_DOC_SET_KANJI None None 0.0000\n316 1 YRS_RESIDENCE None None 0.2141\n317 1 Y_BOX_GAMES None None -0.3805\n318 1 None None None -1.4056\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_-956115219","id":"20200915-183827_1479141935","dateCreated":"2020-06-06T00:30:42+0000","dateStarted":"2020-09-15T22:59:58+0000","dateFinished":"2020-09-15T23:00:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"Make predictions on test dataset","text":"%python\n\npred = svm_mod.predict(test_dat, test_dat, proba=True)\nz.show(pred.head())\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:00:03+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","AGE":"string","CUST_MARITAL_STATUS":"string","COUNTRY_NAME":"string","CUST_INCOME_LEVEL":"string","EDUCATION":"string","OCCUPATION":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","AFFINITY_CARD":"string","BULK_PACK_DISKETTES":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","BOOKKEEPING_APPLICATION":"string","PRINTER_SUPPLIES":"string","Y_BOX_GAMES":"string","OS_DOC_SET_KANJI":"string","COMMENTS":"string","PREDICTION":"string","PROBABILITY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tAGE\tCUST_MARITAL_STATUS\tCOUNTRY_NAME\tCUST_INCOME_LEVEL\tEDUCATION\tOCCUPATION\tHOUSEHOLD_SIZE\tYRS_RESIDENCE\tAFFINITY_CARD\tBULK_PACK_DISKETTES\tFLAT_PANEL_MONITOR\tHOME_THEATER_PACKAGE\tBOOKKEEPING_APPLICATION\tPRINTER_SUPPLIES\tY_BOX_GAMES\tOS_DOC_SET_KANJI\tCOMMENTS\tPREDICTION\tPROBABILITY\n102456\tM\t45\tMarried\tUnited States of America\tK: 250,000 - 299,999\tHS-grad\tExec.\t3\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\t0\t0.9997224703390015\n102313\tM\t58\tWidowed\tUnited States of America\tJ: 190,000 - 249,999\tHS-grad\tExec.\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\t0\t0.9999951368700065\n100076\tM\t21\tNeverM\tUnited States of America\tK: 250,000 - 299,999\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\t0\t0.9999999996291746\n103870\tF\t34\tMarried\tUnited States of America\tG: 130,000 - 149,999\tHS-grad\tOther\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\t0\t0.9999942287661877\n101624\tM\t37\tNeverM\tJapan\tB: 30,000 - 49,999\t< Bach.\tOther\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\t0\t0.99999994419833\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_-2089094570","id":"20200915-183827_1902719890","dateCreated":"2020-06-06T00:37:21+0000","dateStarted":"2020-09-15T23:00:03+0000","dateFinished":"2020-09-15T23:00:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Display confusion matrix and ROC curve","text":"%python\n\ndef pred_plot(pred, target, name, settings): \n import numpy as np\n import matplotlib\n import matplotlib.pyplot as plt\n\n from sklearn.metrics import roc_curve\n from sklearn.metrics import roc_auc_score,auc\n\n pred_new = pred.concat({\"PROBABILITY_OF_1\":(pred[\"PREDICTION\"]*\n pred[\"PROBABILITY\"]+\n (-pred[\"PREDICTION\"]+1)*\n (-pred[\"PROBABILITY\"]+1))})\n conf_matrix = pred_new.crosstab(target,'PREDICTION',pivot=True)\n \n # Statistics\n cf_local = conf_matrix.pull()\n TN = cf_local.iloc[0,1]\n TP = cf_local.iloc[1,2]\n FP = cf_local.iloc[0,2]\n FN = cf_local.iloc[1,1]\n TPR = TP/(TP+FN)\n FPR = FP/(FP+TN)\n TNR = TN/(TN+FP)\n FNR = FN/(FN+TP)\n Precision = TP/(TP+FP)\n Accuracy = (TP+TN)/(TP+TN+FP+FN)\n NPV = TN/(FN+TN)\n DetectionRate = TN/(FN+TN)\n BalancedAccuracy = (TPR+TNR)/2\n # Estimated AUC via Triangle (not very precise) could be\n # AUC = (1/2)*FPR*TPR + (1/2)*(1-FPR)*(1-TPR) + (1-FPR)*TPR\n \n # Compute real AUC using roc_curve by loading the\n # data locally\n pred_local = pred_new.pull().sample(frac = 0.1)\n fpr, tpr, _ = roc_curve(pred_local[[target]],pred_local[['PROBABILITY_OF_1']])\n AUC = auc(fpr, tpr)\n \n F1Score = 2*Precision*TPR/(Precision+TPR)\n MathewsCorrCoef = ((TP*TN)-(FP*FN))/((TP+FP)*(TP+FN)*(TN+FP)*(TN+FN))**0.5\n # Store all statistics to export\n statistics = {'Algorithm' : name,\n 'Algorithm_setting' : settings,\n 'TN' : TN,\n 'TP' : TP,\n 'FP' : FP,\n 'FN' : FN,\n 'TPR' : TPR,\n 'FPR' : FPR,\n 'TNR' : TNR,\n 'FNR' : FNR,\n 'Precision' : Precision,\n 'Accuracy' : Accuracy,\n 'NPV' : NPV,\n 'DetectionRate' : DetectionRate,\n 'BalancedAccuracy' : BalancedAccuracy,\n 'AUC' : AUC,\n 'F1Score' : F1Score,\n 'MathewsCorrCoef' : MathewsCorrCoef\n }\n # Nice round stats for printing to screen\n TOTAL = TP+TN+FP+FN\n TN_P = (TN/TOTAL*100).round(2)\n FP_P = (FP/TOTAL*100).round(2)\n FN_P = (FN/TOTAL*100).round(2)\n TP_P = (TP/TOTAL*100).round(2)\n # Print the output nicely on Zeppelin native Table\n print(\"%table CONFUSION MATRIX\\tPREDICTED 0\\tPREDICTED 1\\nACTUAL 0\\t\"+\n \"True Negative: \"+str(TN)+\" (\"+str(TN_P)+\"%)\\t\"+\n \"False Positive: \"+str(FP)+\" (\"+str(FP_P)+\"%)\\nACTUAL 1\\t\"+\n \"False Negative: \"+str(FN)+\" (\"+str(FN_P)+\"%)\\t\"+\n \"True Positive: \"+str(TP)+\" (\"+str(TP_P)+\"%)\\n\"+\n \"Accuracy: \"+str((Accuracy*100).round(4))+\"%\"\n )\n \n TARGET = target\n # Multiple Charts for Evaluation\n fig, axes = plt.subplots(nrows=1, ncols=4,figsize=[20,5])\n ax1, ax2, ax3, ax4 = axes.flatten()\n fig.suptitle('Model Evaluation for '+str(name), size=16)\n\n # Statistics\n ax1.axis('off')\n \n\n # Function to return rounded numbers if the string is float, return\n # integers otherwise and return characters if not a number\n def round_if_float(content):\n try:\n val = float(content)\n except ValueError:\n return(content)\n else:\n if val.is_integer():\n return(int(content))\n else:\n return(round(float(content),4))\n\n for num, name in enumerate(statistics):\n ax1.text(0.01, \n (-num*0.06+0.94),\n \"{0}: {1}\".format(name,round_if_float(statistics[name])),\n ha='left', \n va='bottom', \n fontsize=12)\n \n # Produce Lift Chart\n ax2.set_title('Lift Chart')\n data = pred_local.sort_values(by='PROBABILITY_OF_1', ascending=False)\n data['row_id'] = range(0,0+len(data))\n data['decile'] = ( data['row_id'] / (len(data)/10) ).astype(int)\n lift = data.groupby('decile')[TARGET].agg(['count','sum'])\n lift.columns = ['count', TARGET]\n lift['decile'] = range(1,11)\n\n data_ideal = pred_local.sort_values(by=TARGET, ascending=False)\n data_ideal['row_id'] = range(0,0+len(data))\n data_ideal['decile'] = ( data_ideal['row_id'] / (len(data_ideal)/10) ).astype(int)\n lift_ideal = data_ideal.groupby('decile')[TARGET].agg(['count','sum'])\n lift_ideal.columns = ['count', 'IDEAL']\n lift['IDEAL']=lift_ideal['IDEAL']\n\n ax2.bar(lift['decile'],lift['IDEAL']/lift['count'],color='darkorange', label='Ideal')\n ax2.bar(lift['decile'],lift[TARGET]/lift['count'],color='blue', alpha=0.6, label='Model')\n ax2.axhline((lift[TARGET]/lift['count']).mean(), color='grey', linestyle='--', label='Avg TARGET')\n ax2.set_ylim(0,1.15)\n ax2.set_xlabel('Decile', size=13)\n ax2.set_ylabel('Percent of Actual Targets', size=13)\n # Print labels.\n for dec in lift['decile']:\n ax2.text(dec, lift[lift.decile==dec][TARGET]/lift[lift.decile==dec]['count'] + 0.05, \n (\"%.0f\" % int(round((lift[(lift.decile==dec)][TARGET]/lift[lift.decile==dec]['count'])*100,0)))+\"%\",\n ha='center', va='bottom')\n\n ax2.legend(loc=\"upper right\")\n\n \n # Produce Gains Chart\n ax3.set_title('Distributions of Predictions')\n ax3.hist(pred_local[pred_local[TARGET]==1].PROBABILITY_OF_1, density=True, bins=25, alpha=.5, color='blue', label='1')\n ax3.hist(pred_local[pred_local[TARGET]==0].PROBABILITY_OF_1, density=True, bins=25, alpha=.5, color='darkorange', label='0')\n ax3.axvline(.5, color='grey', linestyle='--', label='Cutoff at 0.5')\n ax3.set_xlim([0,1])\n ax3.set_xlabel('Probability of 1', size=13)\n ax3.set_ylabel('Density', size=13)\n ax3.legend(loc=\"upper right\")\n\n # ROC curve Chart\n ax4.set_title('ROC Curve')\n ax4.plot(fpr, tpr, color='blue', lw=2, label='ROC curve')\n\n ax4.plot([0, 1], [0, 1], lw=2, linestyle='--', color='grey', label='Random guess')\n\n ax4.annotate('AUC ='+str((AUC).round(4)), xy=(0.5, 0.4), xycoords='axes fraction', size=13)\n ax4.annotate('Precision ='+str((Precision).round(4)), xy=(0.45, 0.35), xycoords='axes fraction', size=13)\n ax4.annotate('Recall ='+str((TPR).round(4)), xy=(0.4, 0.3), xycoords='axes fraction', size=13)\n ax4.annotate('Accuracy ='+str((Accuracy).round(4)), xy=(0.35, 0.25), xycoords='axes fraction', size=13)\n ax4.annotate('F1 Score ='+str((F1Score).round(4)), xy=(0.3, 0.2), xycoords='axes fraction', size=13)\n ax4.set_xlim([-0.02, 1.02])\n ax4.set_ylim([0.0, 1.02])\n ax4.set_xlabel('False Positive Rate', size=13)\n ax4.set_ylabel('True Positive Rate', size=13)\n ax4.legend(loc=\"lower right\")\npred_plot(pred[['AFFINITY_CARD','PREDICTION','PROBABILITY']], 'AFFINITY_CARD', 'SVM', settings = 'Text')","user":"OMLUSER","dateUpdated":"2020-09-15T23:00:04+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":196,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CONFUSION MATRIX":"string","PREDICTED 0":"string","PREDICTED 1":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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\n"}]},"interrupted":false,"jobName":"paragraph_1600195107656_832063607","id":"20200915-183827_1212816365","dateCreated":"2020-06-09T18:55:48+0000","dateStarted":"2020-09-15T23:00:04+0000","dateFinished":"2020-09-15T23:01:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Display the coefficient for the various attributes - notice the text features extracted from COMMENTS column","text":"%python\ndf = svm_mod.coef.pull()\ndf['COEF_ABS'] = np.abs(df['COEF'])\nz.show(df.sort_values(by = 'COEF_ABS', ascending = False)[['TARGET_VALUE', 'ATTRIBUTE_NAME', \"ATTRIBUTE_SUBNAME\", \"ATTRIBUTE_VALUE\", \"COEF\"]])","user":"OMLUSER","dateUpdated":"2020-09-15T23:01:40+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"TARGET_VALUE":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_VALUE":"string","COEF":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/undefined","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"TARGET_VALUE\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tATTRIBUTE_VALUE\tCOEF\n1\tCOMMENTS\tTEXAS\tNone\t5.2929\n1\tCOMMENTS\tCUSTOMER\tNone\t-3.9367\n1\tCOMMENTS\tOTHER\tNone\t3.5844\n1\tCOMMENTS\tSHOPS\tNone\t3.5844\n1\tCOMMENTS\tSENDING\tNone\t2.7815\n1\tCOMMENTS\tLOVE\tNone\t-2.7158\n1\tCOMMENTS\tFORGET\tNone\t2.536\n1\tCOMMENTS\tMORE\tNone\t-2.3602\n1\tCOMMENTS\tCOMPUTER\tNone\t-2.2205\n1\tCOMMENTS\tNEVER\tNone\t2.2015\n1\tCOMMENTS\tLET\tNone\t2.1793\n1\tCOMMENTS\tLOUSY\tNone\t-2.128\n1\tCOMMENTS\tOFFER\tNone\t-1.9714\n1\tCOMMENTS\tTOLD\tNone\t1.9473\n1\tCOMMENTS\tMADE\tNone\t1.873\n1\tCOMMENTS\tEXCELLENT\tNone\t1.873\n1\tCOMMENTS\tAPPLY\tNone\t1.873\n1\tCOMMENTS\tLIKE\tNone\t1.8466\n1\tCOMMENTS\tSTORE\tNone\t-1.8061\n1\tCOMMENTS\tMUCH\tNone\t-1.7869\n1\tCOMMENTS\tGIMMICKS\tNone\t1.7737\n1\tCOMMENTS\t10\tNone\t1.7737\n1\tCOMMENTS\tWORK\tNone\t1.7099\n1\tCOMMENTS\tGET\tNone\t1.6563\n1\tCOMMENTS\tUSED\tNone\t-1.6557\n1\tCOMMENTS\tLATE\tNone\t1.6133\n1\tCOMMENTS\tSTORES\tNone\t1.6133\n1\tCOMMENTS\tLITTLE\tNone\t1.6133\n1\tCOMMENTS\tFRANCE\tNone\t1.5673\n1\tCOMMENTS\tADDRESS\tNone\t1.5673\n1\tCOMMENTS\tRECORD\tNone\t-1.5181\n1\tCOMMENTS\tSAY\tNone\t-1.5181\n1\tCOUNTRY_NAME\tNone\tCanada\t1.5125\n1\tCOMMENTS\tELSEWHERE\tNone\t-1.4821\n1\tCOMMENTS\tTHREW\tNone\t-1.4821\n1\tCOMMENTS\tAWAY\tNone\t-1.4821\n1\tCOMMENTS\tPLEASE\tNone\t-1.4484\n1\tCOMMENTS\tDELIGHTED\tNone\t1.4059\n1\tCOMMENTS\tSHOPPED\tNone\t1.4059\n1\tCOMMENTS\tONCE\tNone\t1.4059\n1\tCOMMENTS\tSENT\tNone\t1.4059\n1\tCOMMENTS\tPLEASED\tNone\t1.4059\n1\tCOMMENTS\tIMMEDIATELY\tNone\t1.4059\n1\tNone\tNone\tNone\t-1.4056\n1\tCOMMENTS\tDIDN\tNone\t-1.3821\n1\tCOMMENTS\tSALE\tNone\t-1.3791\n1\tCOMMENTS\tABOUT\tNone\t1.3772\n1\tCOUNTRY_NAME\tNone\tSaudi Arabia\t1.3478\n1\tCOMMENTS\tDOCUMENTATION\tNone\t-1.3332\n1\tCOMMENTS\tPURCHASE\tNone\t1.3183\n1\tCOMMENTS\tNEED\tNone\t-1.2865\n1\tHOUSEHOLD_SIZE\tNone\t4-5\t1.2811\n1\tCOMMENTS\tLINE\tNone\t-1.2537\n1\tCOMMENTS\tSISTER\tNone\t1.2445\n1\tCOMMENTS\tTIMES\tNone\t-1.2325\n1\tCOMMENTS\tREMOVE\tNone\t-1.2284\n1\tCOMMENTS\tLIST\tNone\t-1.2284\n1\tCOMMENTS\tNAME\tNone\t-1.2284\n1\tCOMMENTS\tALREADY\tNone\t-1.2259\n1\tCOMMENTS\tPROMOTIONS\tNone\t-1.2259\n1\tCOMMENTS\tAGAIN\tNone\t1.2237\n1\tCOMMENTS\tCONSIDER\tNone\t-1.2218\n1\tCOMMENTS\tSERVICE\tNone\t-1.2218\n1\tCOMMENTS\tLOYAL\tNone\t-1.2218\n1\tCOMMENTS\tAMAZING\tNone\t-1.2203\n1\tHOUSEHOLD_SIZE\tNone\t6-8\t-1.2076\n1\tCOMMENTS\tKEEP\tNone\t1.166\n1\tCOMMENTS\tBUY\tNone\t-1.1282\n1\tCOMMENTS\tAM\tNone\t1.127\n1\tCOUNTRY_NAME\tNone\tPoland\t-1.1204\n1\tCOMMENTS\tIDEA\tNone\t1.073\n1\tCOMMENTS\tMOTHER\tNone\t1.048\n1\tCOMMENTS\tMOSTLY\tNone\t-1.0305\n1\tCOMMENTS\tTHINGS\tNone\t-1.0305\n1\tCOMMENTS\tUPBUYING\tNone\t-1.0305\n1\tCOMMENTS\tEND\tNone\t-1.0305\n1\tCOMMENTS\tFEW\tNone\t1.0206\n1\tCOMMENTS\tAUSTRALIA\tNone\t1.0206\n1\tCOMMENTS\tLIVE\tNone\t1.0206\n1\tCOMMENTS\tMOVED\tNone\t1.0206\n1\tCOMMENTS\tCONSIDERED\tNone\t1.0206\n1\tCOMMENTS\tEVER\tNone\t1.0206\n1\tCOMMENTS\tGIFTS\tNone\t1.0206\n1\tCUST_MARITAL_STATUS\tNone\tMar-AF\t-1.0121\n1\tCOMMENTS\tADVERTISED\tNone\t-0.9846\n1\tCOMMENTS\tLATEST\tNone\t-0.9846\n1\tCOMMENTS\tMODEL\tNone\t-0.9846\n1\tCOMMENTS\tCOST\tNone\t-0.9846\n1\tCOMMENTS\tWEEK\tNone\t-0.9846\n1\tCOMMENTS\tUPGRADE\tNone\t-0.9846\n1\tCOMMENTS\tPRICES\tNone\t0.967\n1\tCOMMENTS\tWRITE\tNone\t0.9602\n1\tCOMMENTS\tSEVERAL\tNone\t0.9602\n1\tCOMMENTS\tWANTED\tNone\t0.9602\n1\tCOMMENTS\tSATISFIED\tNone\t0.9602\n1\tCOMMENTS\tPROGRAM\tNone\t-0.9562\n1\tCOMMENTS\tMANAGER\tNone\t-0.9364\n1\tCOMMENTS\tWEEKLY\tNone\t-0.924\n1\tCOMMENTS\tSPECIALS\tNone\t-0.924\n1\tCOMMENTS\tINCLUDED\tNone\t0.9186\n1\tEDUCATION\tNone\tPhD\t0.9167\n1\tCOMMENTS\tMANY\tNone\t-0.889\n1\tCOMMENTS\tCOMPETITOR\tNone\t0.8666\n1\tCOMMENTS\tDON\tNone\t-0.8389\n1\tCOMMENTS\tSTOPPED\tNone\t-0.8351\n1\tCOMMENTS\tPAIN\tNone\t-0.8351\n1\tCOMMENTS\tDEAL\tNone\t-0.8351\n1\tCOMMENTS\tELECTRONIC\tNone\t-0.8351\n1\tCOMMENTS\tTRIED\tNone\t-0.8351\n1\tCOMMENTS\tRETURN\tNone\t-0.8351\n1\tCOMMENTS\tRUN\tNone\t0.8088\n1\tCOMMENTS\tCONVENIENCE\tNone\t0.8088\n1\tCOMMENTS\tELIGIBLE\tNone\t0.8088\n1\tCOMMENTS\tSMALL\tNone\t0.8088\n1\tCOMMENTS\tLARGER\tNone\t0.8088\n1\tCOMMENTS\tCHANCE\tNone\t0.8088\n1\tCOMMENTS\tLARGE\tNone\t0.8088\n1\tCOMMENTS\tQUANTITY\tNone\t0.8088\n1\tOCCUPATION\tNone\tFarming\t-0.7966\n1\tCOMMENTS\tUNHAPPY\tNone\t0.7908\n1\tCOMMENTS\tCLOSE\tNone\t-0.7813\n1\tCOMMENTS\tWORTH\tNone\t-0.7813\n1\tCOMMENTS\tSENSE\tNone\t-0.7813\n1\tCOMMENTS\tMAKESE\tNone\t-0.7813\n1\tCOMMENTS\tBUILD\tNone\t-0.7813\n1\tCOMMENTS\tDRIVING\tNone\t-0.7813\n1\tCOMMENTS\tOTHERS\tNone\t-0.7813\n1\tCOMMENTS\tFAR\tNone\t-0.7813\n1\tCOMMENTS\tCHANGE\tNone\t-0.7776\n1\tCOMMENTS\tANYTHING\tNone\t-0.7776\n1\tCOMMENTS\tGREAT\tNone\t-0.7743\n1\tCOMMENTS\tTHANK\tNone\t0.7704\n1\tCUST_MARITAL_STATUS\tNone\tMarried\t0.769\n1\tCOMMENTS\tVARIETY\tNone\t-0.7498\n1\tCOMMENTS\tSHOPPERS\tNone\t-0.7498\n1\tCOMMENTS\tENOUGH\tNone\t-0.7498\n1\tCOMMENTS\tAFTER\tNone\t-0.7498\n1\tCOMMENTS\tMOVE\tNone\t-0.7498\n1\tCOMMENTS\tATTRACT\tNone\t-0.7498\n1\tCOMMENTS\tWAY\tNone\t-0.7498\n1\tCOMMENTS\tREADY\tNone\t-0.7498\n1\tCOMMENTS\tMONTH\tNone\t-0.7395\n1\tOCCUPATION\tNone\tOther\t-0.7376\n1\tCOMMENTS\tLOT\tNone\t-0.7348\n1\tOCCUPATION\tNone\tCrafts\t-0.7328\n1\tCOMMENTS\tOFFERING\tNone\t0.7309\n1\tCOMMENTS\tEVERY\tNone\t0.727\n1\tCOMMENTS\tEVEN\tNone\t0.7237\n1\tOCCUPATION\tNone\tTransp.\t-0.7027\n1\tOCCUPATION\tNone\tExec.\t0.7023\n1\tCOMMENTS\tSHOPPING\tNone\t-0.6983\n1\tCOMMENTS\tWANT\tNone\t-0.6921\n1\tOCCUPATION\tNone\tArmed-F\t0.6799\n1\tCOMMENTS\tSIGNED\tNone\t-0.6687\n1\tCOMMENTS\tIMPRESSED\tNone\t0.6668\n1\tOCCUPATION\tNone\tProf.\t0.62\n1\tOCCUPATION\tNone\tHandler\t-0.6069\n1\tCOMMENTS\tDISCOUNT\tNone\t-0.6005\n1\tCOMMENTS\tHASSLE\tNone\t-0.5781\n1\tCOMMENTS\tBRING\tNone\t-0.5781\n1\tCOMMENTS\tTHANKS\tNone\t0.5745\n1\tCOMMENTS\tNOW\tNone\t0.5726\n1\tCOMMENTS\tOFTEN\tNone\t-0.5629\n1\tCOMMENTS\tFEEL\tNone\t-0.5629\n1\tCOMMENTS\tINVASION\tNone\t-0.5629\n1\tCOMMENTS\tDEAR\tNone\t-0.5629\n1\tCOMMENTS\tIMPOSES\tNone\t-0.5629\n1\tCOMMENTS\tCARDS\tNone\t-0.5629\n1\tCOMMENTS\tQUESTIONS\tNone\t-0.5609\n1\tCOMMENTS\tUS\tNone\t-0.5609\n1\tCOMMENTS\tASK\tNone\t-0.5609\n1\tCOMMENTS\tETC\tNone\t-0.5609\n1\tCOMMENTS\tCOMPLAIN\tNone\t-0.5609\n1\tCOMMENTS\tCHILDREN\tNone\t-0.5609\n1\tCOMMENTS\tBIT\tNone\t-0.5609\n1\tCOMMENTS\tSORRY\tNone\t-0.5602\n1\tCOMMENTS\tPRODUCTS\tNone\t-0.5602\n1\tCOMMENTS\tAFFINITY\tNone\t0.5514\n1\tOCCUPATION\tNone\tSales\t0.5465\n1\tCOMMENTS\tTIRED\tNone\t0.5423\n1\tCOMMENTS\tNEW\tNone\t-0.5416\n1\tEDUCATION\tNone\tAssoc-V\t-0.5395\n1\tOCCUPATION\tNone\tCleric.\t0.5313\n1\tCOUNTRY_NAME\tNone\tSingapore\t-0.5296\n1\tCOMMENTS\tRECENTLY\tNone\t0.5143\n1\tCOMMENTS\tTIME\tNone\t0.5125\n1\tHOUSEHOLD_SIZE\tNone\t3\t0.5076\n1\tCOMMENTS\tHAPPY\tNone\t0.4941\n1\tCOUNTRY_NAME\tNone\tAustralia\t-0.4916\n1\tCOUNTRY_NAME\tNone\tUnited Kingdom\t0.4888\n1\tCOMMENTS\tREMEMBER\tNone\t-0.4717\n1\tCOMMENTS\tDISCOUNTS\tNone\t-0.4308\n1\tEDUCATION\tNone\t< Bach.\t-0.4278\n1\tCUST_MARITAL_STATUS\tNone\tSepar.\t0.4189\n1\tEDUCATION\tNone\tProfsc\t0.4104\n1\tEDUCATION\tNone\tHS-grad\t-0.4022\n1\tCOMMENTS\tSHOP\tNone\t-0.4012\n1\tCOUNTRY_NAME\tNone\tItaly\t-0.3943\n1\tCOUNTRY_NAME\tNone\tArgentina\t-0.3938\n1\tCOMMENTS\tTHINK\tNone\t0.3873\n1\tY_BOX_GAMES\tNone\tNone\t-0.3805\n1\tCOMMENTS\tCARD\tNone\t0.3741\n1\tCUST_MARITAL_STATUS\tNone\tWidowed\t-0.3652\n1\tCOMMENTS\tPRIVACY\tNone\t-0.3538\n1\tCOMMENTS\tPERSONAL\tNone\t-0.3487\n1\tCOMMENTS\tGIVE\tNone\t-0.3487\n1\tCOMMENTS\tITEMS\tNone\t-0.3482\n1\tEDUCATION\tNone\t9th\t0.3439\n1\tOCCUPATION\tNone\tProtec.\t0.3349\n1\tOCCUPATION\tNone\tTechSup\t0.311\n1\tBOOKKEEPING_APPLICATION\tNone\tNone\t0.2734\n1\tCOMMENTS\tWITHOUT\tNone\t-0.2705\n1\tCOMMENTS\tBETTER\tNone\t-0.2705\n1\tCOMMENTS\tUSES\tNone\t-0.2705\n1\tEDUCATION\tNone\t11th\t-0.2618\n1\tCUST_INCOME_LEVEL\tNone\tK: 250,000 - 299,999\t-0.2608\n1\tCOMMENTS\tRARELY\tNone\t-0.2607\n1\tCOMMENTS\tPRICE\tNone\t-0.2607\n1\tCOMMENTS\tACCOUNT\tNone\t-0.2607\n1\tCOMMENTS\tLOOK\tNone\t-0.2607\n1\tCOMMENTS\tHENCE\tNone\t-0.2607\n1\tCOMMENTS\tLOYALTY\tNone\t-0.2607\n1\tCOMMENTS\tUSUALLY\tNone\t-0.2607\n1\tEDUCATION\tNone\t12th\t-0.2562\n1\tOCCUPATION\tNone\t?\t-0.2533\n1\tCOMMENTS\tBROTHER\tNone\t-0.2529\n1\tHOUSEHOLD_SIZE\tNone\t2\t-0.2494\n1\tCOMMENTS\tUP\tNone\t0.2474\n1\tCUST_INCOME_LEVEL\tNone\tL: 300,000 and above\t-0.2206\n1\tCUST_GENDER\tNone\tF\t-0.2174\n1\tCUST_GENDER\tNone\tM\t0.2174\n1\tYRS_RESIDENCE\tNone\tNone\t0.2141\n1\tCUST_INCOME_LEVEL\tNone\tH: 150,000 - 169,999\t0.2057\n1\tHOUSEHOLD_SIZE\tNone\t1\t-0.2043\n1\tCOUNTRY_NAME\tNone\tBrazil\t-0.1988\n1\tCUST_INCOME_LEVEL\tNone\tE: 90,000 - 109,999\t0.1965\n1\tCOMMENTS\tLAST\tNone\t-0.1949\n1\tCUST_INCOME_LEVEL\tNone\tB: 30,000 - 49,999\t-0.1808\n1\tCOMMENTS\tFLAT\tNone\t-0.1792\n1\tCOMMENTS\tPANEL\tNone\t-0.1792\n1\tCOMMENTS\tMONITOR\tNone\t-0.1792\n1\tHOME_THEATER_PACKAGE\tNone\tNone\t0.1701\n1\tCOUNTRY_NAME\tNone\tUnited States of America\t-0.162\n1\tCUST_INCOME_LEVEL\tNone\tJ: 190,000 - 249,999\t0.1593\n1\tCOMMENTS\tUSE\tNone\t0.159\n1\tCOUNTRY_NAME\tNone\tTurkey\t-0.1481\n1\tAGE\tNone\tNone\t-0.146\n1\tHOUSEHOLD_SIZE\tNone\t9+\t-0.1275\n1\tCOMMENTS\tSEND\tNone\t0.122\n1\tCOMMENTS\tBULK\tNone\t-0.1135\n1\tEDUCATION\tNone\tAssoc-A\t0.1106\n1\tCUST_INCOME_LEVEL\tNone\tI: 170,000 - 189,999\t0.1104\n1\tEDUCATION\tNone\t7th-8th\t0.1083\n1\tOCCUPATION\tNone\tMachine\t0.1041\n1\tCOMMENTS\tPURCHASED\tNone\t0.1025\n1\tCUST_MARITAL_STATUS\tNone\tMabsent\t0.0984\n1\tCOMMENTS\tFORM\tNone\t-0.0983\n1\tCOMMENTS\tWASTE\tNone\t-0.0983\n1\tCOMMENTS\tTHREE\tNone\t-0.0983\n1\tCOMMENTS\tGOING\tNone\t-0.0983\n1\tCOMMENTS\tFILLING\tNone\t-0.0983\n1\tCOMMENTS\tPAGE\tNone\t-0.0983\n1\tCUST_MARITAL_STATUS\tNone\tNeverM\t0.0973\n1\tCOMMENTS\tWISH\tNone\t0.0936\n1\tCOMMENTS\tINFORMATION\tNone\t0.0936\n1\tCOMMENTS\tM\tNone\t0.0936\n1\tCOMMENTS\tRESPECT\tNone\t0.0936\n1\tCOMMENTS\tGIVING\tNone\t0.0936\n1\tCOUNTRY_NAME\tNone\tGermany\t0.0895\n1\tCOMMENTS\tSPEAK\tNone\t0.0873\n1\tCOMMENTS\tRECEIVED\tNone\t0.0873\n1\tCOMMENTS\tGETTING\tNone\t0.0873\n1\tCOMMENTS\tMEMBERSHIP\tNone\t0.0873\n1\tCOMMENTS\tPAST\tNone\t0.0873\n1\tCOMMENTS\tDIRECTLY\tNone\t-0.0849\n1\tCOMMENTS\tWEREN\tNone\t-0.0849\n1\tCOMMENTS\tMANUALS\tNone\t-0.0849\n1\tCUST_INCOME_LEVEL\tNone\tA: Below 30,000\t-0.0821\n1\tCOMMENTS\tSHIP\tNone\t-0.0736\n1\tCUST_INCOME_LEVEL\tNone\tD: 70,000 - 89,999\t0.0688\n1\tEDUCATION\tNone\tMasters\t0.0464\n1\tCOMMENTS\tKNOW\tNone\t-0.0454\n1\tCOMMENTS\tMOUSE\tNone\t-0.0444\n1\tCOMMENTS\tPADS\tNone\t-0.0444\n1\tCOMMENTS\tEVERYTHING\tNone\t0.036\n1\tCOMMENTS\tSTARTED\tNone\t0.036\n1\tEDUCATION\tNone\tBach.\t-0.0281\n1\tFLAT_PANEL_MONITOR\tNone\tNone\t0.0248\n1\tCOMMENTS\tPURCHASES\tNone\t0.0224\n1\tEDUCATION\tNone\t10th\t-0.0207\n1\tCOMMENTS\tEXPENSIVE\tNone\t0.0181\n1\tCUST_INCOME_LEVEL\tNone\tG: 130,000 - 149,999\t-0.0173\n1\tCUST_INCOME_LEVEL\tNone\tF: 110,000 - 129,999\t0.0137\n1\tCOMMENTS\tYEARS\tNone\t-0.0131\n1\tCOMMENTS\tBEFORE\tNone\t-0.0131\n1\tCOMMENTS\tSTART\tNone\t-0.0131\n1\tCOMMENTS\tELSE\tNone\t-0.0131\n1\tCOMMENTS\tEVERYONE\tNone\t-0.0131\n1\tBULK_PACK_DISKETTES\tNone\tNone\t-0.0126\n1\tCOMMENTS\tGOOD\tNone\t-0.0115\n1\tCOMMENTS\tFREE\tNone\t-0.0095\n1\tCOMMENTS\tSHIPPING\tNone\t-0.0095\n1\tCOMMENTS\tARIZONA\tNone\t-0.0093\n1\tCUST_INCOME_LEVEL\tNone\tC: 50,000 - 69,999\t0.0073\n1\tCUST_MARITAL_STATUS\tNone\tDivorc.\t-0.0064\n1\tCOMMENTS\tJUNK\tNone\t-0.0012\n1\tCOMMENTS\tMAIL\tNone\t-0.0012\n1\tCOUNTRY_NAME\tNone\tChina\t0.0\n1\tOS_DOC_SET_KANJI\tNone\tNone\t0.0\n1\tEDUCATION\tNone\tPresch.\t0.0\n1\tCOUNTRY_NAME\tNone\tSouth Africa\t0.0\n1\tCOUNTRY_NAME\tNone\tDenmark\t0.0\n1\tCOUNTRY_NAME\tNone\tFrance\t0.0\n1\tCOUNTRY_NAME\tNone\tJapan\t0.0\n1\tCOUNTRY_NAME\tNone\tNew 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diff --git a/machine-learning/notebooks/sql/OML4SQL_Anomaly_Detection.json b/machine-learning/notebooks/sql/OML4SQL_Anomaly_Detection.json
index 614c2393..79996e32 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Anomaly_Detection.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Anomaly_Detection.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n## Anomaly Detection to Detect Unusual or Rare Occurrences\n\nOracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in the data using the unsupervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a 1Class-SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:25:04+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
Anomaly Detection to Detect Unusual or Rare Occurrences
\n
Oracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in the data using the unsupervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a 1Class-SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).
\n
Copyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580854815485_161822783","id":"20200204-222015_1210882082","dateCreated":"2018-02-05T23:20:46+0000","dateStarted":"2020-02-07T20:25:05+0000","dateFinished":"2020-02-07T20:25:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md \n
\n\n
","user":"MARK","dateUpdated":"2020-02-07T20:25:07+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
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\nOracle Machine Learning folder on Github \nOracle Machine Learning web page: \n","user":"MARK","dateUpdated":"2020-02-07T20:25:08+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
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SH.SUPPLEMENTARY_DEMOGRAPHICS;\n","user":"MARK","dateUpdated":"2020-02-07T20:25:09+0000","config":{"colWidth":7,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"jobName":"paragraph_1580854815485_-262279673","id":"20200204-222015_2091831404","dateCreated":"2018-02-05T23:29:40+0000","dateStarted":"2020-02-07T20:25:10+0000","dateFinished":"2020-02-07T20:25:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display DEMOGRAPHICS_V data","text":"%sql\n\nSELECT * FROM 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Bach.\t0\t3\tCrafts\t1\t0\t0\t0\t0\t1\t1\n102920\t3\tAssoc-V\t0\t3\tCleric.\t1\t0\t0\t0\t0\t1\t1\n102631\t3\tHS-grad\t0\t3\tExec.\t1\t1\t1\t0\t0\t1\t0\n103855\t3\tHS-grad\t0\t3\tCrafts\t1\t1\t1\t0\t0\t1\t0\n103998\t3\tHS-grad\t0\t3\tCleric.\t1\t1\t1\t0\t0\t1\t0\n103404\t3\tHS-grad\t0\t3\tHandler\t1\t0\t0\t1\t0\t1\t0\n101955\t3\tHS-grad\t0\t3\tTransp.\t1\t1\t1\t0\t0\t1\t0\n100445\t4\t9th\t0\t3\tOther\t0\t1\t1\t1\t0\t1\t0\n101159\t4\t11th\t0\t3\tCrafts\t0\t1\t1\t1\t0\t1\t0\n101646\t4\tBach.\t0\t3\tTechSup\t1\t0\t0\t1\t0\t1\t0\n100746\t4\t7th-8th\t0\t3\tCrafts\t0\t1\t1\t1\t0\t1\t0\n101516\t4\t< Bach.\t0\t3\tExec.\t1\t0\t0\t0\t0\t1\t0\n102531\t4\t< Bach.\t0\t3\tSales\t1\t1\t1\t0\t0\t1\t0\n104393\t4\t< Bach.\t0\t3\tCleric.\t1\t1\t1\t1\t0\t1\t0\n100928\t4\tHS-grad\t0\t3\tCleric.\t1\t1\t1\t1\t0\t1\t0\n101318\t4\tHS-grad\t0\t3\tTransp.\t1\t0\t0\t0\t0\t1\t1\n100344\t5\tBach.\t0\t3\tProf.\t1\t1\t0\t1\t0\t1\t0\n103303\t5\tBach.\t0\t3\tTechSup\t1\t1\t1\t1\t0\t1\t0\n103410\t5\t5th-6th\t0\t3\tMachine\t0\t1\t1\t1\t0\t1\t0\n100999\t5\t7th-8th\t0\t3\tCrafts\t0\t1\t1\t1\t0\t1\t0\n103191\t5\tHS-grad\t0\t3\t?\t1\t1\t0\t1\t0\t1\t0\n102071\t6\tBach.\t0\t3\tExec.\t1\t1\t1\t1\t0\t1\t0\n101403\t6\t7th-8th\t0\t3\tMachine\t0\t1\t1\t1\t0\t1\t0\n102492\t6\t< Bach.\t0\t3\tCrafts\t1\t1\t1\t1\t0\t1\t0\n102675\t6\t< Bach.\t0\t3\tCrafts\t1\t1\t1\t1\t0\t1\t0\n104141\t6\t< Bach.\t0\t3\tTechSup\t1\t0\t0\t1\t0\t1\t0\n100450\t6\tHS-grad\t0\t3\tOther\t1\t1\t1\t1\t0\t1\t0\n102170\t6\tHS-grad\t0\t3\tMachine\t1\t1\t1\t1\t0\t1\t0\n102152\t7\tHS-grad\t0\t3\t?\t1\t1\t1\t1\t0\t1\t0\n104076\t8\t< Bach.\t0\t3\tExec.\t1\t1\t1\t1\t0\t1\t0\n102964\t9\t< Bach.\t0\t3\tExec.\t1\t1\t1\t1\t0\t1\t0\n"}]},"jobName":"paragraph_1580854815485_909650987","id":"20200204-222015_1349499475","dateCreated":"2018-02-06T13:14:22+0000","dateStarted":"2020-02-07T20:25:13+0000","dateFinished":"2020-02-07T20:25:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display CUSTOMERS table","text":"%sql\n\nSELECT * FROM SH.CUSTOMERS SAMPLE(10) ORDER BY CUST_ID;","user":"MARK","dateUpdated":"2020-02-07T20:25:13+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_GENDER":"string","CUST_YEAR_OF_BIRTH":"string","CUST_MARITAL_STATUS":"string","CUST_STREET_ADDRESS":"string","CUST_POSTAL_CODE":"string","CUST_CITY":"string","CUST_CITY_ID":"string","CUST_STATE_PROVINCE":"string","CUST_STATE_PROVINCE_ID":"string","COUNTRY_ID":"string","CUST_MAIN_PHONE_NUMBER":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","CUST_EMAIL":"string","CUST_TOTAL":"string","CUST_TOTAL_ID":"string","CUST_SRC_ID":"string","CUST_EFF_FROM":"string","CUST_EFF_TO":"string","CUST_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_GENDER\tCUST_YEAR_OF_BIRTH\tCUST_MARITAL_STATUS\tCUST_STREET_ADDRESS\tCUST_POSTAL_CODE\tCUST_CITY\tCUST_CITY_ID\tCUST_STATE_PROVINCE\tCUST_STATE_PROVINCE_ID\tCOUNTRY_ID\tCUST_MAIN_PHONE_NUMBER\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tCUST_EMAIL\tCUST_TOTAL\tCUST_TOTAL_ID\tCUST_SRC_ID\tCUST_EFF_FROM\tCUST_EFF_TO\tCUST_VALID\n26\tErica\tVandermark\tF\t1947\tsingle\t5932 Birdies Street\t30331\tForestville\t51512\tOH\t52688\t52790\t(304) 963-8636\tI: 170,000 - 189,999\t10000\terica.vandermark@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n66\tOriena\tRigsby\tF\t1927\tdivorced\t2225 Pressings Drive\t67042\tCranford\t51345\tNJ\t52670\t52790\t(317) 690-5212\tE: 90,000 - 109,999\t5000\toriena.rigsby@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n83\tFaith\tMccracken\tF\t1952\tdivorced\t7538 Shelf Street\t80149\tAtalissa\t51076\tIA\t52618\t52790\t(463) 646-6589\tL: 300,000 and above\t11000\tfaith.mccracken@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n90\tBillie\tAlbans\tF\t1985\tsingle\t244 Idaho Street\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t(477) 565-7465\tD: 70,000 - 89,999\t3000\tbillie.albans@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n92\tSherry\tHouse\tF\t1946\tmarried\t10554 Jolt Street\t31813\tAline\t51052\tOK\t52689\t52790\t(655) 335-9268\tE: 90,000 - 109,999\t5000\tsherry.house@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n94\tCecilia\tLinden\tF\t1954\t\t4962 Familiarization Street\t41218\tFarmington\t51501\tUT\t52748\t52790\t(790) 375-4266\tE: 90,000 - 109,999\t5000\tcecilia.linden@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n126\tMarlena\tStarkey\tF\t1978\tsingle\t922 Interchangeability Lane\t80149\tAtalissa\t51076\tIA\t52618\t52790\t(515) 958-3995\tG: 130,000 - 149,999\t7000\tmarlena.starkey@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n143\tNeda\tClatterbuck\tF\t1950\tdivorced\t7715 Fifties Street\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(697) 507-8307\tD: 70,000 - 89,999\t3000\tneda.clatterbuck@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n147\tAshley\tGlassman\tF\t1956\tsingle\t4291 Viscount Lane\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t(451) 405-8262\tE: 90,000 - 109,999\t5000\tashley.glassman@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n171\tMallory\tGrace\tM\t1937\t\t37 Bryan Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t222-502-7272\tE: 90,000 - 109,999\t7000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n182\tManda\tPardue\tF\t1969\tmarried\t37 Bucks Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t556-259-9548\tD: 70,000 - 89,999\t5000\tPardue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n183\tMichelle\tEarly\tF\t1990\tsingle\t6105 Tardiness Turnpike\t82203\tColmar\t51338\tAlsace\t52546\t52779\t(407) 454-8772\tH: 150,000 - 169,999\t9000\tmichelle.early@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n186\tLaurice\tLongerbeam\tF\t1938\tmarried\t2264 Disarms Street\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t(325) 308-8211\tI: 170,000 - 189,999\t10000\tl.longerbeam@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n204\tManus\tPinkston\tM\t1942\t\t37 Bullitt Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t303-777-9329\tF: 110,000 - 129,999\t10000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n227\tManvil\tAustin\tM\t1949\tsingle\t37 Butterfly Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t613-405-3254\tG: 130,000 - 149,999\t5000\tAustin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n255\tTobey\tNutter\tF\t1948\tmarried\t7017 Milked Turnpike\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t(590) 874-3059\tF: 110,000 - 129,999\t7000\ttobey.nutter@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n263\tWinifred\tWensel\tF\t1966\twidow\t2930 Sequoia Avenue\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t(771) 430-2077\tH: 150,000 - 169,999\t9000\twinifred.wensel@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n278\tNan\tLamay\tF\t1948\twidow\t9669 Reigns Turnpike\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(783) 575-4841\tE: 90,000 - 109,999\t5000\tnan.lamay@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n288\tErna\tBarajas\tF\t1984\tsingle\t9678 Kidnapper Turnpike\t70577\tPaterna\t52105\tValencia\t52755\t52778\t(751) 289-6610\tG: 130,000 - 149,999\t7000\terna.barajas@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n306\tLenore\tBirch\tF\t1965\tmarried\t7078 Picnicking Street\t62706\tAntony\t51067\tIle-de-France\t52623\t52779\t(409) 624-1244\tE: 90,000 - 109,999\t5000\tlenore.birch@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n312\tEmerald\tElliott\tF\t1926\tdivorced\t10130 Revolving Avenue\t56047\tAccomac\t51044\tVA\t52751\t52790\t(348) 343-1350\tG: 130,000 - 149,999\t7000\temerald.elliott@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n313\tNeda\tDunkin\tF\t1952\t\t10815 Mending Street\t77448\tFranklin\t51518\tGE\t52604\t52790\t(367) 833-6688\tG: 130,000 - 149,999\t7000\tneda.dunkin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n340\tGail\tJansen\tF\t1963\tmarried\t4919 Hidden Street\t56047\tAccomac\t51044\tVA\t52751\t52790\t(354) 914-6613\tG: 130,000 - 149,999\t7000\tgail.jansen@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n343\tAtalie\tMarkin\tF\t1968\tsingle\t1905 Precondition Lane\t70006\tAugsburg\t51082\tBayern\t52561\t52776\t(619) 952-2530\tH: 150,000 - 169,999\t9000\tatalie.markin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n345\tChristine\tSands\tF\t1944\t\t6146 Courses Drive\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t(217) 733-4283\tI: 170,000 - 189,999\t10000\tchristine.sands@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n351\tJessie\tKing\tF\t1972\twidow\t6220 Vetoes Turnpike\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t(695) 917-9879\t\t1500\tjessie.king@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n352\tPearl\tSchmit\tF\t1938\t\t5924 Winners Street\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t(282) 805-6376\tA: Below 30,000\t1500\tpearl.schmit@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n353\tRenita\tPruitt\tF\t1944\tsingle\t10720 Carload Boulevard\t59272\tSan Carlos de Bariloche\t52288\tRio Negro\t52712\t52773\t(632) 854-6433\tB: 30,000 - 49,999\t1500\trenita.pruitt@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n356\tKendra\tSeluna\tF\t1989\tsingle\t8724 Teleology Boulevard\t81319\tBarre\t51165\tMA\t52649\t52790\t(337) 389-4762\tD: 70,000 - 89,999\t3000\tkendra.seluna@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n368\tHortense\tWiley\tF\t1932\tmarried\t5957 Chromium Street\t66798\tAllport\t51055\tAR\t52540\t52790\t(611) 268-2026\tG: 130,000 - 149,999\t7000\thortense.wiley@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n371\tMarwin\tLloyd\tM\t1977\t\t37 Calhoun Street\t67272\tCloverdale\t51334\tCA\t52567\t52790\t356-485-5410\tF: 110,000 - 129,999\t7000\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n379\tCherie\tPerez\tF\t1980\t\t9937 Shots Drive\t89000\tWadsworth\t52491\tNV\t52678\t52790\t(574) 446-4979\tB: 30,000 - 49,999\t1500\tcherie.perez@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n390\tSylvana\tHinkle\tF\t1970\tmarried\t5019 Pseudoinstructions Street\t67968\tChimney Rock\t51326\tNC\t52664\t52790\t(534) 974-6733\tF: 110,000 - 129,999\t7000\tsylvana.hinkle@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n392\tAlyssa\tEubank\tF\t1947\twidow\t9249 Irrevocable Avenue\t41218\tFarmington\t51501\tUT\t52748\t52790\t(453) 691-2122\tG: 130,000 - 149,999\t7000\talyssa.eubank@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n395\tCarin\tMarkland\tF\t1986\tsingle\t9578 Filibuster Lane\t85388\tArtas\t51072\tSD\t52725\t52790\t(642) 763-5965\tG: 130,000 - 149,999\t7000\tcarin.markland@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n396\tBridget\tForeman\tF\t1946\tsingle\t1714 Auschwitz Street\t87100\tCuritiba\t51347\tParana\t52698\t52775\t(756) 837-2424\tH: 150,000 - 169,999\t9000\tbridget.foreman@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n400\tClematis\tGarner\tF\t1951\t\t11266 Housekeepers Boulevard\t48557\tAladdin\t51048\tWY\t52763\t52790\t(309) 974-9486\tJ: 190,000 - 249,999\t10000\tclematis.garner@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n417\tHeather\tSchooler\tF\t1927\tdivorced\t10076 Lambda Lane\t91105\tForest Heights\t51511\tMD\t52652\t52790\t(366) 405-3427\tF: 110,000 - 129,999\t7000\theather.schooler@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n424\tGertrude\tGates\tF\t1960\tmarried\t3449 Hegelianize Street\t89000\tWadsworth\t52491\tNV\t52678\t52790\t(257) 985-7503\tI: 170,000 - 189,999\t10000\tgertrude.gates@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n430\tCaryn\tNielley\tF\t1965\tsingle\t8767 Peasants Street\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t(752) 473-3870\t\t1500\tcaryn.nielley@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n432\tMaureen\tRobbinette\tF\t1962\tdivorced\t1205 Knighting Turnpike\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t(610) 213-6380\tB: 30,000 - 49,999\t1500\tm.robbinette@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n445\tAdalia\tAbbey\tF\t1933\tdivorced\t11535 Apprehensively Lane\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t(289) 512-2661\tG: 130,000 - 149,999\t7000\tadalia.abbey@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n458\tRita\tDobson\tF\t1978\tsingle\t7821 Dipole Street\t91105\tForest Heights\t51511\tMD\t52652\t52790\t(540) 304-8500\tA: Below 30,000\t1500\trita.dobson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n464\tTalia\tGottlieb\tF\t1925\tmarried\t1667 Proliferated Turnpike\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t(710) 433-2618\tD: 70,000 - 89,999\t3000\ttalia.gottlieb@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n484\tDana\tDwyer\tF\t1956\twidow\t153 Maurice Turnpike\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t(414) 775-4627\t\t1500\tdana.dwyer@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n485\tIdette\tGibb\tF\t1984\tsingle\t6060 Supervised Turnpike\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(675) 636-9050\tA: Below 30,000\t1500\tidette.gibb@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n490\tMarice\tAktug\tF\t1958\tdivorced\t7025 Vague Drive\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t(320) 670-9731\tD: 70,000 - 89,999\t3000\tmarice.aktug@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n506\tStaphany\tMartin\tF\t1953\t\t11853 Offended Avenue\t68975\tBuckley\t51222\tWA\t52757\t52790\t(268) 880-9026\tI: 170,000 - 189,999\t10000\tstaphany.martin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n515\tMike\tMotion\tM\t1940\tmarried\t37 Cass Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t699-189-8323\tE: 90,000 - 109,999\t5000\tMotion@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n517\tRebecca\tMcdonald\tF\t1949\tmarried\t9225 Fleece Drive\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t(708) 826-3227\tD: 70,000 - 89,999\t3000\trebecca.mcdonald@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n522\tYvette\tGerman\tF\t1960\tmarried\t8485 Petition Circle\t30331\tForestville\t51512\tOH\t52688\t52790\t(253) 224-8658\tF: 110,000 - 129,999\t7000\tyvette.german@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n525\tWinona\tDaniels\tF\t1934\tmarried\t664 Grappling Street\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t(722) 715-7408\tG: 130,000 - 149,999\t7000\twinona.daniels@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n534\tCarol\tPugh\tF\t1923\tsingle\t2886 Ottomanize Lane\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t(284) 572-1675\tK: 250,000 - 299,999\t11000\tcarol.pugh@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n589\tSinclair\tWang\tM\t1984\tsingle\t552 Marvin Street\t35559\tCanberra\t51309\tAustralian Capital Territory\t52550\t52774\t(711) 415-8443\tL: 300,000 and above\t11000\tsinclair.wang@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n590\tWadswworth\tWhite\tM\t1980\tsingle\t7060 Incompetent Street\t73071\tAlleppey\t51054\tKerala\t52636\t52771\t(681) 661-4301\t\t1500\twadswworth.white@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n600\tPearce\tGallows\tM\t1923\t\t8890 Enticing Turnpike\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t(744) 930-6870\tE: 90,000 - 109,999\t5000\tpearce.gallows@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n604\tMontague\tCoe\tM\t1945\t\t37 Ceiba Street\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t185-323-4827\tE: 90,000 - 109,999\t10000\tCoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n616\tKane\tSpeer\tM\t1976\t\t10143 Enters Street\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t(589) 992-6073\tL: 300,000 and above\t11000\tkane.speer@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n620\tLane\tOrm\tM\t1957\t\t7050 Merriest Circle\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t(592) 602-7964\tC: 50,000 - 69,999\t3000\tlane.orm@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n621\tSylvanus\tHagan\tM\t1965\tsingle\t11509 Attuning Turnpike\t90074\tBremen\t51215\tBremen\t52564\t52776\t(725) 376-6822\tC: 50,000 - 69,999\t3000\tsylvanus.hagan@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n646\tClinton\tFleming\tM\t1986\tsingle\t5773 Opaque Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t(216) 942-1777\tC: 50,000 - 69,999\t3000\tclinton.fleming@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n658\tLester\tMitchell\tM\t1947\tsingle\t5294 Greenhouse Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t(535) 375-4899\tG: 130,000 - 149,999\t7000\tlester.mitchell@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n670\tFredie\tElgin\tM\t1949\tsingle\t17 Breckinridge Court\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t109-795-1699\tI: 170,000 - 189,999\t15000\tElgin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n680\tBlair\tSkinner\tM\t1986\tsingle\t1727 Gogh Street\t30331\tForestville\t51512\tOH\t52688\t52790\t(417) 497-5435\tE: 90,000 - 109,999\t5000\tblair.skinner@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n708\tGeoffrey\tDoor\tM\t1975\twidow\t7167 Colonized Circle\t66098\tRiyadh\t52168\tRiyadh\t52714\t52787\t(683) 829-9657\tF: 110,000 - 129,999\t7000\tgeoffrey.door@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n715\tMurry\tIvy\tM\t1943\tmarried\t37 Chester Street\t48557\tAladdin\t51048\tWY\t52763\t52790\t319-398-9730\tE: 90,000 - 109,999\t5000\tIvy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n725\tMarvin\tRoberts\tM\t1989\tsingle\t6539 Impugn Turnpike\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t(515) 989-3868\tB: 30,000 - 49,999\t1500\tmarvin.roberts@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n727\tAlfred\tFerris\tM\t1939\tmarried\t4023 Solvent Avenue\t59272\tSan Carlos de Bariloche\t52288\tRio Negro\t52712\t52773\t(770) 499-3186\tC: 50,000 - 69,999\t3000\talfred.ferris@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n729\tGavin\tSilverman\tM\t1963\t\t628 Dimple Lane\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t(756) 250-7887\tD: 70,000 - 89,999\t3000\tgavin.silverman@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n737\tMyron\tFaulk\tM\t1967\tsingle\t37 Cheyenne Street\t43329\tAttica\t51078\tNY\t52679\t52790\t224-361-9991\tH: 150,000 - 169,999\t10000\tFaulk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n751\tSloan\tRusk\tM\t1978\tdivorced\t10560 Firefly Street\t66798\tAllport\t51055\tAR\t52540\t52790\t(384) 293-3973\tA: Below 30,000\t1500\tsloan.rusk@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n755\tEvan\tNappier\tM\t1953\tsingle\t5282 Galahad Turnpike\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t(334) 348-6921\tD: 70,000 - 89,999\t3000\tevan.nappier@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n757\tMark\tAchesson\tM\t1925\tdivorced\t3259 Aggressiveness Street\t62706\tAntony\t51067\tIle-de-France\t52623\t52779\t(648) 666-9569\tE: 90,000 - 109,999\t5000\tmark.achesson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n798\tEmmett\tEverley\tM\t1974\tmarried\t5263 Hankel Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t(769) 202-4702\tI: 170,000 - 189,999\t10000\temmett.everley@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n822\tZel\tPollard\tM\t1970\tsingle\t6356 Rebellious Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t(604) 401-1210\tH: 150,000 - 169,999\t9000\tzel.pollard@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n823\tLindsay\tRoberts\tM\t1925\tmarried\t10787 Gout Turnpike\t69084\tAtkinson\t51077\tNE\t52666\t52790\t(736) 619-5389\tH: 150,000 - 169,999\t9000\tlindsay.roberts@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n830\tPercival\tColven\tM\t1975\tdivorced\t10114 Potentiating Street\t43209\tAix-en-Provence\t51046\tProvence-Alpes-Cote d'Azur\t52701\t52779\t(255) 514-6665\t\t1500\tpercival.colven@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n847\tOliver\tLightfoot\tM\t1941\tsingle\t10448 Defendants Boulevard\t85388\tArtas\t51072\tSD\t52725\t52790\t(231) 762-8633\tG: 130,000 - 149,999\t7000\toliver.lightfoot@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n857\tCarey\tKrider\tM\t1922\tsingle\t7059 Playmates Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t(288) 397-8047\tA: Below 30,000\t1500\tcarey.krider@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n863\tDirk\tEverrett\tM\t1978\tmarried\t6033 Lavish Drive\t78618\tBerea\t51180\tKY\t52632\t52790\t(645) 760-3996\tD: 70,000 - 89,999\t3000\tdirk.everrett@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n865\tGary\tAhlemann\tM\t1969\tsingle\t9108 Baggage Turnpike\t53814\tFukuoka\t51524\tFukuoka\t52601\t52782\t(441) 571-6328\tE: 90,000 - 109,999\t5000\tgary.ahlemann@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n871\tThatcher\tYan\tM\t1988\tsingle\t10936 Spinoff Street\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t(299) 626-3864\tF: 110,000 - 129,999\t7000\tthatcher.yan@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n879\tHubert\tSaddler\tM\t1938\tmarried\t7867 Sojourners Circle\t30331\tForestville\t51512\tOH\t52688\t52790\t(397) 806-3753\tJ: 190,000 - 249,999\t10000\thubert.saddler@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n899\tElijah\tFellows\tM\t1937\tdivorced\t3367 Notices Drive\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t(319) 234-8278\tG: 130,000 - 149,999\t7000\telijah.fellows@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n904\tOprah\tRuddy\tF\t1946\t\t37 Clearfield Street\t43919\tBacknang\t51152\tBaden-Wuerttemberg\t52559\t52776\t543-285-7451\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n905\tGordon\tSpence\tM\t1932\tdivorced\t9567 Donated Boulevard\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t(665) 610-1481\tI: 170,000 - 189,999\t10000\tgordon.spence@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n907\tTravers\tEdwards\tM\t1932\tsingle\t2417 Copier Drive\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t(223) 242-4163\tJ: 190,000 - 249,999\t10000\ttravers.edwards@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n920\tRolph\tRohrback\tM\t1982\tmarried\t3707 Engineer Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t(554) 834-4352\tE: 90,000 - 109,999\t5000\trolph.rohrback@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n922\tSherlock\tLein\tM\t1986\tsingle\t7962 Earmark Circle\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t(355) 519-7443\tF: 110,000 - 129,999\t7000\tsherlock.lein@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n925\tSumner\tSawyer\tM\t1927\tmarried\t1934 Oresteia Turnpike\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(767) 742-5056\tG: 130,000 - 149,999\t7000\tsumner.sawyer@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n931\tKelby\tKrebs\tM\t1957\twidow\t5028 Hermann Street\t36598\tBaltimore\t51161\tCork\t52575\t52772\t(371) 646-9050\tI: 170,000 - 189,999\t10000\tkelby.krebs@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n936\tPearson\tSeven\tM\t1924\t\t767 Cisterns Boulevard\t34386\tEunice\t51458\tNM\t52671\t52790\t(751) 283-6799\t\t1500\tpearson.seven@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n942\tVernon\tHouse\tM\t1973\tsingle\t3045 Multiplying Street\t90304\tHolden\t51665\tWV\t52762\t52790\t(597) 454-1149\tD: 70,000 - 89,999\t3000\tvernon.house@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n977\tBlaine\tHole\tM\t1950\twidow\t9146 Daffodils Street\t58488\tDolores\t51391\tCO\t52569\t52790\t(734) 391-3659\tF: 110,000 - 129,999\t7000\tblaine.hole@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n978\tTrent\tHubbard\tM\t1953\t\t7888 Brett Street\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(689) 679-3655\tG: 130,000 - 149,999\t7000\ttrent.hubbard@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n979\tTroy\tLeigh\tM\t1974\tsingle\t11245 Eyes Street\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t(755) 486-9330\tG: 130,000 - 149,999\t7000\ttroy.leigh@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n992\tOzelle\tRowley\tM\t1965\tsingle\t37 Cole Street\t48346\tNoma\t51985\tFL\t52595\t52790\t365-208-2720\tA: Below 30,000\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1007\tPrince\tHanson\tM\t1982\twidow\t2152 Styler Boulevard\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t(446) 715-2107\tG: 130,000 - 149,999\t7000\tprince.hanson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1012\tTimothy\tVaughn\tM\t1928\t\t6332 Insuperable Street\t36598\tBaltimore\t51161\tCork\t52575\t52772\t(203) 541-5008\tI: 170,000 - 189,999\t10000\ttimothy.vaughn@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1013\tCanute\tRust\tM\t1956\tsingle\t2121 Enjoins Drive\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t(617) 549-2463\tJ: 190,000 - 249,999\t10000\tcanute.rust@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1034\tWinfred\tHenry\tM\t1929\tdivorced\t6131 Reactionaries Lane\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t(780) 385-2993\tG: 130,000 - 149,999\t7000\twinfred.henry@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1038\tJonah\tNutter\tM\t1960\tsingle\t7814 Retransmits Circle\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t(457) 398-4527\tI: 170,000 - 189,999\t10000\tjonah.nutter@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1041\tJackson\tGregg\tM\t1990\tsingle\t11575 Principal Circle\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t(250) 299-2382\tK: 250,000 - 299,999\t11000\tgregory.jackson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1042\tClarence\tStark\tM\t1923\tdivorced\t7628 Pearce Turnpike\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t(705) 336-2276\tL: 300,000 and above\t11000\tclarence.stark@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1051\tKermit\tCox\tM\t1989\tsingle\t7318 Disagreements Boulevard\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t(670) 727-3562\tE: 90,000 - 109,999\t5000\tkermit.cox@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1058\tOlin\tWiley\tM\t1926\t\t3671 Alfonso Street\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t(615) 857-9694\tG: 130,000 - 149,999\t7000\tolin.wiley@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1061\tAdelbert\tAbramowitz\tM\t1938\tmarried\t10151 Rapids Circle\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t(282) 244-4432\tG: 130,000 - 149,999\t7000\ta.abramowitz@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1065\tJake\tLauers\tM\t1986\tsingle\t10597 Adding Lane\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(303) 429-7977\tI: 170,000 - 189,999\t10000\tjake.lauers@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1076\tHenry\tStarr\tM\t1983\tmarried\t10938 Sobering Circle\t90304\tHolden\t51665\tWV\t52762\t52790\t(727) 298-8077\tD: 70,000 - 89,999\t3000\thenry.starr@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1078\tArmand\tBrown\tM\t1929\tsingle\t4836 Partridges Boulevard\t34646\tGirona\t51582\tGirona\t52611\t52778\t(447) 901-1491\tE: 90,000 - 109,999\t5000\tarmand.brown@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1080\tJonah\tFaulk\tM\t1975\tdivorced\t5489 Approaching Lane\t80040\tAlsen\t51060\tND\t52665\t52790\t(311) 509-8583\tF: 110,000 - 129,999\t7000\tjonah.faulk@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1102\tGaylord\tGrimshaw\tM\t1929\tmarried\t4734 Paler Drive\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t(351) 807-2991\tD: 70,000 - 89,999\t3000\tgaylord.grimshaw@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1105\tHiram\tGroup\tM\t1950\tsingle\t4444 Marshaling Street\t43209\tAix-en-Provence\t51046\tProvence-Alpes-Cote d'Azur\t52701\t52779\t(469) 796-4071\tE: 90,000 - 109,999\t5000\thiram.group@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1116\tPaulette\tReady\tF\t1936\tmarried\t37 Corson Street\t34800\tCochin Kochi\t51337\tKerala\t52636\t52771\t282-104-1218\tB: 30,000 - 49,999\t5000\tReady@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1132\tPia\tGrubb\tM\t1963\tmarried\t37 Dale Street\t87791\tMarbella\t51900\tMalaga\t52661\t52778\t116-461-1240\tE: 90,000 - 109,999\t1500\tGrubb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1133\tPolly\tIngram\tF\t1980\tsingle\t37 Dallas Street\t43505\tValencia\t52430\tValencia\t52755\t52778\t528-555-3063\tD: 70,000 - 89,999\t3000\tIngram@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1140\tPriscilla\tGraham\tM\t1944\tsingle\t37 De Baca Street\t67843\tArbuckle\t51069\tCA\t52567\t52790\t150-687-2056\tD: 70,000 - 89,999\t3000\tGraham@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1151\tRalston\tGatewood\tM\t1960\t\t37 Denver Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t351-140-1840\tE: 90,000 - 109,999\t10000\tGatewood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1159\tGarrett\tNappier\tM\t1945\tsingle\t17 Brunswick Court\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t519-651-2422\tG: 130,000 - 149,999\t5000\tNappier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1160\tRandall\tRust\tM\t1938\t\t37 Divide Street\t50509\tReichelsheim\t52161\tHessen\t52617\t52776\t344-529-6746\tC: 50,000 - 69,999\t3000\tRust@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1168\tRayburn\tBarden\tM\t1972\tmarried\t37 Dooly Street\t55787\tMontara\t51919\tCA\t52567\t52790\t598-438-3940\tB: 30,000 - 49,999\t5000\tBarden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1194\tRita\tJames\tF\t1935\t\t37 Fairfax Street\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t149-579-6248\tE: 90,000 - 109,999\t7000\tJames@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1202\tRochelle\tPaintor\tM\t1986\tsingle\t37 Feliciana Street\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t139-354-6820\tJ: 190,000 - 249,999\t11000\tPaintor@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1221\tRosalind\tFerrin\tF\t1951\tmarried\t37 Garfield Street\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t101-531-1356\tG: 130,000 - 149,999\t5000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1222\tRosamond\tGermonds\tF\t1944\t\t37 Garland Street\t47283\tOpp\t52034\tAL\t52534\t52790\t379-278-7229\tE: 90,000 - 109,999\t9000\tGermonds@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1243\tRue\tBasket\tM\t1969\t\t37 Gratiot Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t499-160-6764\tE: 90,000 - 109,999\t9000\tBasket@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1252\tSabrina\tBarnett\tF\t1958\tsingle\t37 Guayama Street\t37842\tStockport\t52327\tEngland - Greater Manchester\t52590\t52789\t562-435-4921\tI: 170,000 - 189,999\t1500\tBarnett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1253\tSada\tBallenger\tM\t1950\tsingle\t37 Guayanilla Street\t83805\tNorth Druid Hills\t51990\tGE\t52604\t52790\t487-737-4308\tI: 170,000 - 189,999\t3000\tBallenger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1269\tTanya\tCattlett\tF\t1971\tmarried\t37 Hardy Street\t43866\tPerry\t52107\tIL\t52619\t52790\t482-374-1704\tK: 250,000 - 299,999\t11000\tCattlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1272\tTeri\tKessel\tF\t1959\tmarried\t37 Harnett Street\t80999\tWestminster\t52506\tEngland - Greater London\t52589\t52789\t663-191-2571\tA: Below 30,000\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1287\tThayer\tLing\tM\t1968\tsingle\t37 Hidalgo Street\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t472-297-3464\tI: 170,000 - 189,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1288\tTheodora\tGrey\tF\t1932\tmarried\t37 Hillsborough Street\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t670-577-1499\tC: 50,000 - 69,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1290\tTheodorick\tLillis\tM\t1959\t\t37 Hinds Street\t66241\tJerome\t51697\tAR\t52540\t52790\t322-113-9633\tD: 70,000 - 89,999\t10000\tLillis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1295\tTherese\tLaycock\tF\t1978\tmarried\t37 Hollywood Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t417-275-3836\tF: 110,000 - 129,999\t5000\tLaycock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1311\tTobey\tMaddox\tM\t1981\tmarried\t37 Iberville Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t194-773-6601\tF: 110,000 - 129,999\t1500\tMaddox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1354\tUraih\tRosser\tM\t1972\t\t37 Kit Carson Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t215-356-5686\tE: 90,000 - 109,999\t7000\tRosser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1361\tVal\tSmith\tF\t1962\t\t37 La Jolla Street\t70126\tAldridge\t51050\tEngland - West Midlands\t52593\t52789\t102-741-4606\tG: 130,000 - 149,999\t7000\tSmith@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1369\tVan\tLeary\tM\t1935\tsingle\t37 Lagrange Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t315-377-7394\tB: 30,000 - 49,999\t1500\tLeary@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1374\tVarden\tDunbar\tM\t1942\t\t37 Lamoille Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t457-569-9579\tF: 110,000 - 129,999\t7000\tDunbar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1381\tGladys\tRoberts\tM\t1948\tsingle\t17 Cambria Court\t58748\tBlaubeuren\t51198\tBaden-Wuerttemberg\t52559\t52776\t233-448-5410\tH: 150,000 - 169,999\t7000\tRoberts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1388\tWendy\tCox\tF\t1967\tmarried\t37 Lawrence Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t209-167-7778\tE: 90,000 - 109,999\t5000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1390\tWilhelmina\tLongerbeam\tM\t1973\t\t37 Lee Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t342-582-6009\tB: 30,000 - 49,999\t1500\tLongerbeam@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1403\tGlenn\tWong\tM\t1947\tsingle\t17 Campbell Court\t41847\tEdgewood\t51443\tKY\t52632\t52790\t349-145-6264\tH: 150,000 - 169,999\t15000\tWong@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1408\tWorthington\tKann\tM\t1952\tmarried\t37 Los Robles Street\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t643-313-3521\tE: 90,000 - 109,999\t5000\tKann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1422\tYates\tNance\tM\t1958\tsingle\t37 Mahaska Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t610-135-1113\tF: 110,000 - 129,999\t9000\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1441\tZenia\tLandolt\tF\t1966\tmarried\t37 Matanuska Susitna Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t411-484-8768\tA: Below 30,000\t1500\tLandolt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1456\tAngie\tPlayer\tF\t1958\tsingle\t37 Meade Street\t84381\tOffenbach\t52031\tHessen\t52617\t52776\t310-299-8174\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1459\tGordon\tLittlefield\tM\t1961\tsingle\t17 Caroline Court\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t694-729-1177\tA: Below 30,000\t1500\tLittlefield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1464\tArmand\tEdison\tM\t1960\t\t37 Merrick Street\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t477-393-4546\tG: 130,000 - 149,999\t10000\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1466\tArno\tLinks\tM\t1939\tsingle\t37 Middlesex Street\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t401-746-7520\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1467\tArnold\tSampler\tM\t1951\tsingle\t37 Midland Street\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t332-732-5342\tH: 150,000 - 169,999\t7000\tSampler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1469\tAshley\tTien\tF\t1974\tsingle\t37 Milam Street\t75566\tPotsdam\t52112\tBrandenburg\t52563\t52776\t130-392-8216\tF: 110,000 - 129,999\t9000\tTien@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1478\tBabetta\tFelt\tM\t1952\tmarried\t37 Moca Street\t51969\tTrafford\t52378\tAL\t52534\t52790\t674-799-6740\tE: 90,000 - 109,999\t1500\tFelt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1495\tBecky\tHagan\tF\t1945\tmarried\t37 Morgan Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t636-483-8314\tF: 110,000 - 129,999\t5000\tHagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1496\tBee\tAbbey\tF\t1947\tsingle\t37 Morovis Street\t59742\tBethel Acres\t51184\tOK\t52689\t52790\t312-280-1076\tG: 130,000 - 149,999\t11000\tAbbey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1509\tBessie\tKruger\tF\t1956\tsingle\t37 Nassau Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t277-358-5215\tI: 170,000 - 189,999\t9000\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1528\tBo\tLinden\tM\t1970\tsingle\t37 Ocean Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t306-149-5869\tH: 150,000 - 169,999\t5000\tLinden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1535\tBoris\tKnox\tM\t1957\tsingle\t37 Oklahoma Street\t91105\tForest Heights\t51511\tMD\t52652\t52790\t140-522-4411\tJ: 190,000 - 249,999\t11000\tKnox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1542\tBrant\tGeralt\tM\t1961\t\t37 Ontario Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t671-270-1770\tE: 90,000 - 109,999\t9000\tGeralt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1552\tBruce\tGilroy\tM\t1977\tsingle\t37 Otsego Street\t74342\tLisburn\t51799\tNorthern Ireland - County Antr\t52686\t52789\t565-538-6616\tA: Below 30,000\t1500\tGilroy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1577\tCara\tFay\tF\t1954\t\t37 Pemiscot Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t106-340-1503\tD: 70,000 - 89,999\t10000\tFay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1594\tChester\tMurphy\tM\t1953\t\t37 Plymouth Street\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t333-444-1491\tE: 90,000 - 109,999\t7000\tMurphy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1596\tDeanna\tLamay\tF\t1960\tsingle\t37 Poinsett Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t278-562-9274\tF: 110,000 - 129,999\t9000\tLamay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1615\tDesma\tNiu\tM\t1955\tmarried\t37 Preston Street\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t525-152-9945\tJ: 190,000 - 249,999\t7000\tNiu@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1628\tDonella\tRossellett\tF\t1947\tmarried\t37 Ralston Street\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t186-507-7290\tF: 110,000 - 129,999\t5000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1633\tEmil\tLauderdale\tF\t1971\t\t37 Ravalli Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t470-587-8662\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1660\tFinlay\tHurst\tM\t1963\tsingle\t37 Ross Street\t58488\tDolores\t51391\tCO\t52569\t52790\t593-420-4849\tL: 300,000 and above\t9000\tHurst@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1665\tForrest\tCook\tM\t1961\tsingle\t37 Rusk Street\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t246-632-9930\tG: 130,000 - 149,999\t3000\tCook@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1666\tFran\tKeeting\tF\t1966\t\t37 Rutherford Street\t66692\tHonomu\t51668\tHI\t52615\t52790\t474-205-5627\tE: 90,000 - 109,999\t7000\tKeeting@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1674\tFred\tHamilton\tM\t1962\tsingle\t37 Saint Charles Street\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t660-434-7349\tI: 170,000 - 189,999\t7000\tHamilton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1675\tFreddy\tDamato\tM\t1951\tmarried\t37 Saint Clair Street\t60874\tElche\t51448\tAlicante\t52544\t52778\t242-458-8000\tG: 130,000 - 149,999\t5000\tDamato@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1683\tGarland\tKuehler\tM\t1959\t\t37 Salt Lake Street\t47425\tChambery\t51322\tRhtne-Alpes\t52711\t52779\t230-176-2234\tC: 50,000 - 69,999\t9000\tKuehler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1686\tGarrett\tNappier\tM\t1945\tsingle\t37 San Diego Street\t79889\tKrefeld\t51738\tNordrhein-Westfalen\t52684\t52776\t222-302-4097\tG: 130,000 - 149,999\t5000\tNappier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1691\tGaylord\tKraft\tM\t1964\tmarried\t37 San Juan Street\t88352\tMouzillon\t51927\tPays de la Loire\t52699\t52779\t613-188-8211\tF: 110,000 - 129,999\t1500\tKraft@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1694\tGeoffrey\tWan\tM\t1949\t\t37 San Sebastian Street\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t628-387-4671\tG: 130,000 - 149,999\t9000\tWan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1698\tGertrude\tTrimmer\tM\t1946\tmarried\t37 Sanilac Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t694-478-8730\tE: 90,000 - 109,999\t1500\tTrimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1700\tGilbert\tLiang\tM\t1978\t\t37 Santa Cruz Street\t48151\tLevallois-Perret\t51794\tIle-de-France\t52623\t52779\t229-549-5144\tE: 90,000 - 109,999\t7000\tLiang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1701\tGilchrist\tLease\tM\t1975\tmarried\t37 Santa Fe Street\t33529\tLondrina\t51804\tParana\t52698\t52775\t257-255-5933\tF: 110,000 - 129,999\t5000\tLease@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1702\tGilda\tZiluca\tF\t1954\tsingle\t37 Santa Monica Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t516-273-6836\tB: 30,000 - 49,999\t1500\tZiluca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1744\tHarrie\tRider\tM\t1942\tmarried\t37 Steuben Street\t57579\tDingle\t51389\tKerry\t52637\t52772\t290-580-8529\tD: 70,000 - 89,999\t1500\tRider@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1746\tHarrison\tLamb\tM\t1949\t\t37 Story Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t605-473-7382\tF: 110,000 - 129,999\t7000\tLamb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1747\tHarrie\tRider\tM\t1950\tmarried\t17 Chicago Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t112-445-9991\tD: 70,000 - 89,999\t1500\tRider@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1751\tHatty\tLloyd\tM\t1928\tmarried\t37 Sullivan Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t542-309-8555\tC: 50,000 - 69,999\t3000\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1755\tHector\tColven\tM\t1942\tsingle\t37 Sunset Street\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t345-585-8581\tF: 110,000 - 129,999\t9000\tColven@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1766\tHerman\tNutter\tM\t1946\t\t37 Taney Street\t73216\tFrederick\t51519\tCO\t52569\t52790\t432-578-1422\tF: 110,000 - 129,999\t7000\tNutter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1774\tHiram\tCoe\tM\t1935\tmarried\t37 Tensas Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t105-232-8861\tA: Below 30,000\t1500\tCoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1783\tHoney\tFairfax\tF\t1946\tsingle\t37 Toa Alta Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t212-269-3566\tG: 130,000 - 149,999\t11000\tFairfax@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1793\tIda\tJanssen\tF\t1986\tsingle\t37 Trinity Street\t48346\tNoma\t51985\tFL\t52595\t52790\t494-666-2931\tI: 170,000 - 189,999\t3000\tJanssen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1811\tJackie\tGrover\tF\t1954\tmarried\t37 Vegas Street\t45612\tGuiderock\t51594\tNE\t52666\t52790\t211-227-9143\tE: 90,000 - 109,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1831\tLeslie\tKish\tF\t1964\tmarried\t37 Walworth Street\t56047\tAccomac\t51044\tVA\t52751\t52790\t657-721-9244\tF: 110,000 - 129,999\t1500\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1850\tLisa\tGraham\tF\t1961\t\t37 Wheeler Street\t55787\tMontara\t51919\tCA\t52567\t52790\t395-252-4583\tF: 110,000 - 129,999\t10000\tGraham@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1904\tMae\tKindrid\tF\t1953\tsingle\t37 East Airway Street\t90074\tBremen\t51215\tBremen\t52564\t52776\t305-173-4325\tI: 170,000 - 189,999\t10000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1905\tMagda\tJames\tM\t1947\tmarried\t37 East Aitkin Street\t62826\tRyder\t52178\tND\t52665\t52790\t170-287-6023\tC: 50,000 - 69,999\t1500\tJames@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1917\tMarc\tElliott\tM\t1963\t\t37 East Alpine Street\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t562-687-1625\tD: 70,000 - 89,999\t10000\tElliott@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1930\tMason\tMumm\tM\t1946\tsingle\t37 East Ascension Street\t40926\tCork\t51340\tCork\t52575\t52772\t678-448-8613\tH: 150,000 - 169,999\t15000\tMumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1938\tMead\tLamar\tM\t1971\tmarried\t37 East Austin Street\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t686-729-8479\tA: Below 30,000\t1500\tLamar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1951\tMitchel\tPainter\tM\t1952\tmarried\t37 East Barton Street\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t200-614-7214\tC: 50,000 - 69,999\t1500\tPainter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1970\tNora\tEdmondson\tF\t1946\t\t37 East Bell Street\t76155\tIdar-Oberstein\t51678\tRheinland-Pfalz\t52710\t52776\t649-778-1324\tE: 90,000 - 109,999\t10000\tEdmondson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1972\tNelson\tTavener\tM\t1984\tsingle\t37 East Beltrami Street\t59272\tSan Carlos de Bariloche\t52288\tRio Negro\t52712\t52773\t205-553-3581\tH: 150,000 - 169,999\t3000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1999\tPatricia\tCarr\tF\t1937\t\t37 East Bourbon Street\t53500\tMagdeburg\t51892\tSachsen-Anhalt\t52732\t52776\t255-278-4969\tE: 90,000 - 109,999\t7000\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2001\tPaula\tKayden\tF\t1982\t\t37 East Box Elder Street\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t479-210-7739\tE: 90,000 - 109,999\t9000\tKayden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2015\tPetula\tLucy\tM\t1975\tsingle\t37 East Bronx Street\t56851\tBeemster\t51174\tNoord-Holland\t52683\t52770\t368-146-6104\tI: 170,000 - 189,999\t5000\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2024\tPortia\tCapp\tF\t1948\tmarried\t37 East Buncombe Street\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t581-442-4082\tF: 110,000 - 129,999\t1500\tCapp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2025\tHill\tDutton\tM\t1942\t\t17 Colorado Court\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t313-371-8136\tE: 90,000 - 109,999\t3000\tDutton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2054\tRawdon\tRoche\tM\t1943\tmarried\t37 East Cass Street\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t241-316-2091\tE: 90,000 - 109,999\t5000\tRoche@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2059\tReagan\tBuckett\tM\t1956\tsingle\t37 East Catawba Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t591-524-2548\tJ: 190,000 - 249,999\t11000\tBuckett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2067\tReginald\tRemler\tM\t1950\tmarried\t37 East Chautauqua Street\t38312\tForrestcity\t51513\tAR\t52540\t52790\t548-113-5310\tD: 70,000 - 89,999\t5000\tRemler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2078\tRichard\tWiseman\tM\t1941\tsingle\t37 East Chickasaw Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t357-423-1463\tF: 110,000 - 129,999\t3000\tWiseman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2079\tRichmond\tLeary\tM\t1957\t\t37 East Chippewa Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t164-416-4688\tF: 110,000 - 129,999\t7000\tLeary@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2083\tRitchie\tYates\tM\t1956\tsingle\t37 East Cibola Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t455-246-3817\tH: 150,000 - 169,999\t10000\tYates@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2088\tRobiaaa\tGreenley\tM\t1944\tsingle\t37 East Clark Street\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t121-773-1856\tF: 110,000 - 129,999\t9000\tGreenley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2101\tRomeo\tRubens\tM\t1957\tsingle\t37 East Cole Street\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t103-536-8384\tA: Below 30,000\t1500\tRubens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2102\tHomer\tRuddle\tM\t1935\t\t17 Coosa Court\t59742\tBethel Acres\t51184\tOK\t52689\t52790\t220-210-9646\tE: 90,000 - 109,999\t7000\tRuddle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2108\tRosalie\tChan\tF\t1966\tsingle\t37 East Concordia Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t485-222-5470\tF: 110,000 - 129,999\t9000\tChan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2117\tRose\tLehman\tF\t1981\tsingle\t37 East Coshocton Street\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t652-613-6150\tG: 130,000 - 149,999\t9000\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2137\tHope\tVickers\tM\t1968\tsingle\t17 Covington Court\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t235-711-7794\tK: 250,000 - 299,999\t15000\tVickers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2141\tSabrina\tPack\tF\t1949\tsingle\t37 East De Kalb Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t386-122-7299\tI: 170,000 - 189,999\t9000\tPack@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2142\tSada\tSalem\tM\t1974\tsingle\t37 East De Las Pul Ges Street\t35348\tFoxborough\t51516\tMA\t52649\t52790\t183-184-9655\tI: 170,000 - 189,999\t5000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2147\tSalomon\tPoindexter\tM\t1921\t\t37 East Dekalb Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t143-377-9061\tB: 30,000 - 49,999\t1500\tPoindexter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2155\tTamara\tBaum\tM\t1974\tsingle\t37 East Dickenson Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t196-447-4446\tH: 150,000 - 169,999\t5000\tBaum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2168\tTesia\tGentile\tF\t1947\tmarried\t37 East Dooly Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t400-582-9326\tB: 30,000 - 49,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2170\tHortense\tEaton\tM\t1937\t\t17 Crawford Court\t47545\tSmyrna\t52317\tNY\t52679\t52790\t378-253-6260\tB: 30,000 - 49,999\t1500\tEaton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2183\tTheresa\tCurr\tF\t1985\tsingle\t37 East Ellizabeth Street\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t651-542-7283\tI: 170,000 - 189,999\t9000\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2190\tThurston\tCartwright\tM\t1979\t\t37 East Essex Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t687-754-7135\tF: 110,000 - 129,999\t10000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2193\tTilden\tRogers\tM\t1957\t\t37 East Evans Street\t46567\tUnion City\t52407\tIN\t52621\t52790\t202-543-7370\tE: 90,000 - 109,999\t3000\tRogers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2199\tTitus\tLauder\tM\t1938\tsingle\t37 East Faulkner Street\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t165-707-7927\tD: 70,000 - 89,999\t3000\tLauder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2201\tTobias\tKrebs\tM\t1949\tmarried\t37 East Federated States Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t140-784-2883\tF: 110,000 - 129,999\t5000\tKrebs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2203\tHumphrey\tBanfield\tM\t1951\tsingle\t17 Cross Court\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t331-427-5962\tH: 150,000 - 169,999\t10000\tBanfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2207\tTonia\tAbbey\tF\t1956\t\t37 East Foothill Street\t45943\tLuebeck\t51811\tSchleswig-Holstein\t52736\t52776\t547-378-7462\tF: 110,000 - 129,999\t7000\tAbbey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2208\tTony\tOrm\tM\t1950\tmarried\t37 East Forrest Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t671-272-3259\tD: 70,000 - 89,999\t5000\tOrm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2221\tTrina\tBarbee\tF\t1982\tmarried\t37 East Garfield Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t619-428-8422\tG: 130,000 - 149,999\t5000\tBarbee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2225\tCamille\tFairman\tF\t1943\t\t7 South Brookings Circle\t37161\tMulhouse\t51930\tAlsace\t52546\t52779\t199-176-2967\tC: 50,000 - 69,999\t9000\tFairman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2241\tUndine\tLondon\tM\t1973\t\t37 East Grand View Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t550-441-6963\tJ: 190,000 - 249,999\t9000\tLondon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2243\tUraih\tKonur\tM\t1961\t\t37 East Gratiot Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t106-118-4655\tE: 90,000 - 109,999\t9000\tKonur@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2246\tUrian\tBarajas\tM\t1942\tsingle\t37 East Greene Street\t45704\tMackville\t51890\tKY\t52632\t52790\t336-705-1423\tF: 110,000 - 129,999\t3000\tBarajas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2248\tIdola\tPearson\tF\t1947\tmarried\t17 Curry Court\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t648-702-4130\tF: 110,000 - 129,999\t5000\tPearson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2264\tVeda\tGilroy\tM\t1975\tsingle\t37 East Hancock Street\t47195\tShipman\t52310\tIL\t52619\t52790\t210-219-8535\tH: 150,000 - 169,999\t10000\tGilroy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2271\tVida\tBane\tF\t1958\t\t37 East Harlan Street\t82654\tBonn\t51207\tNordrhein-Westfalen\t52684\t52776\t546-344-6374\tC: 50,000 - 69,999\t3000\tBane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2274\tVirginia\tGroves\tF\t1949\t\t37 East Harrison Street\t36480\tMount Morris\t51926\tIL\t52619\t52790\t146-280-1496\tG: 130,000 - 149,999\t9000\tGroves@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2280\tWilla\tKotch\tF\t1940\t\t37 East Hendricks Street\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t525-147-2355\tF: 110,000 - 129,999\t7000\tKotch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2287\tWinona\tRodrick\tM\t1949\tsingle\t37 East Hidalgo Street\t47684\tDudley\t51399\tEngland - West Midlands\t52593\t52789\t435-358-2785\tI: 170,000 - 189,999\t9000\tRodrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2289\tWinthrop\tGerber\tM\t1949\tsingle\t37 East Hillside Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t539-414-9802\tH: 150,000 - 169,999\t11000\tGerber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2296\tWorth\tRosenblum\tM\t1956\tsingle\t37 East Honolulu Street\t43134\tFreiburg\t51521\tBaden-Wuerttemberg\t52559\t52776\t449-395-3216\tB: 30,000 - 49,999\t1500\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2309\tXylon\tGrier\tM\t1974\tsingle\t37 East Huntingdon Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t316-363-7076\tF: 110,000 - 129,999\t9000\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2329\tZenda\tChambliss\tF\t1946\t\t37 East Jefferson Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t481-503-5591\tE: 90,000 - 109,999\t9000\tChambliss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2346\tAngela\tEppling\tF\t1986\tsingle\t37 East Kenton Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t536-595-7156\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2363\tAugustus\tAldridge\tM\t1973\tsingle\t37 East La Plata Street\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t688-764-2532\tI: 170,000 - 189,999\t9000\tAldridge@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2377\tBarry\tCook\tM\t1951\tsingle\t37 East Larimer Street\t79889\tKrefeld\t51738\tNordrhein-Westfalen\t52684\t52776\t346-571-7043\tH: 150,000 - 169,999\t10000\tCook@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2380\tBaxter\tBarlow\tM\t1974\tsingle\t37 East Las Piedras Street\t43660\tSabadell\t52278\tBarcelona\t52560\t52778\t329-157-9648\tK: 250,000 - 299,999\t9000\tBarlow@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2397\tBeryl\tNappier\tM\t1944\t\t37 East Lewis Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t572-800-9760\tE: 90,000 - 109,999\t10000\tNappier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2413\tBlenda\tZiluca\tM\t1946\t\t37 East Luzerne Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t174-537-2190\tF: 110,000 - 129,999\t7000\tZiluca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2418\tBob\tMahood\tM\t1949\tmarried\t37 East Macon Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t320-472-5493\tC: 50,000 - 69,999\t1500\tMahood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2421\tBonnibelle\tWong\tM\t1969\tmarried\t37 East Madison Street\t52092\tGrand Pressigny\t51589\tCentre\t52573\t52779\t345-713-5813\tD: 70,000 - 89,999\t5000\tWong@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2422\tBonnie\tOgletree\tF\t1983\tsingle\t37 East Mahaska Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t406-606-4758\tF: 110,000 - 129,999\t9000\tOgletree@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2426\tBoyd\tGowen\tM\t1954\tsingle\t37 East Manatee Street\t62476\tSheldon\t52308\tWI\t52760\t52790\t599-668-8130\tL: 300,000 and above\t11000\tGowen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2428\tBrady\tLadd\tM\t1977\tmarried\t37 East Marathon Street\t34646\tGirona\t51582\tGirona\t52611\t52778\t220-417-8240\tG: 130,000 - 149,999\t5000\tLadd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2452\tCaesar\tGutierrez\tM\t1952\tsingle\t37 East Mckinley Street\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t469-434-1064\tI: 170,000 - 189,999\t1500\tGutierrez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2453\tCal\tGentle\tM\t1963\tsingle\t37 East Mclean Street\t75023\tAlbion\t51049\tIN\t52621\t52790\t133-458-3872\tG: 130,000 - 149,999\t3000\tGentle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2466\tCara\tBaltimore\tF\t1978\tsingle\t37 East Middlesex Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t441-690-5041\tD: 70,000 - 89,999\t3000\tBaltimore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2494\tDelilah\tFairfax\tF\t1922\t\t37 East Morehouse Street\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t280-368-3700\tA: Below 30,000\t1500\tFairfax@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2503\tJuan\tRoss\tM\t1946\t\t17 Dewey Court\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t118-607-8674\tG: 130,000 - 149,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2505\tDevona\tStokley\tF\t1970\tmarried\t37 East Muskogee Street\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t279-102-4053\tD: 70,000 - 89,999\t1500\tStokley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2510\tDiona\tBallanger\tF\t1974\t\t37 East Natchitoches Street\t40365\tTralee\t52379\tKerry\t52637\t52772\t158-433-5068\tC: 50,000 - 69,999\t3000\tBallanger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2516\tDolores\tRuddy\tF\t1954\tsingle\t37 East New York Street\t87791\tMarbella\t51900\tMalaga\t52661\t52778\t395-641-7836\tI: 170,000 - 189,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2537\tErik\tReady\tM\t1958\t\t37 East Okmulgee Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t270-788-4593\tL: 300,000 and above\t15000\tReady@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2542\tEva\tKish\tF\t1957\t\t37 East Ontario Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t153-120-1682\tE: 90,000 - 109,999\t9000\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2544\tEve\tSalvadore\tF\t1945\tmarried\t37 East Orange Street\t55787\tMontara\t51919\tCA\t52567\t52790\t503-578-9089\tF: 110,000 - 129,999\t1500\tSalvadore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2553\tFlorence\tGrubb\tF\t1946\t\t37 East Ottawa Street\t55787\tMontara\t51919\tCA\t52567\t52790\t379-604-7207\tF: 110,000 - 129,999\t7000\tGrubb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2562\tFranklin\tGraham\tM\t1976\tmarried\t37 East Page Street\t52602\tBlountstown\t51200\tFL\t52595\t52790\t327-204-1215\tK: 250,000 - 299,999\t7000\tGraham@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2563\tFred\tWestman\tM\t1986\tsingle\t37 East Palm Beach Street\t52602\tBlountstown\t51200\tFL\t52595\t52790\t399-357-8894\tI: 170,000 - 189,999\t9000\tWestman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2567\tGabriel\tBarker\tF\t1929\t\t37 East Park Street\t84606\tBlack River\t51194\tMI\t52654\t52790\t340-455-7488\tD: 70,000 - 89,999\t9000\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2571\tGalen\tKaden\tM\t1960\tsingle\t37 East Pasco Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t170-666-9586\tI: 170,000 - 189,999\t10000\tKaden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2578\tGaston\tLuo\tM\t1970\tsingle\t37 East Pennington Street\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t659-425-6756\tH: 150,000 - 169,999\t1500\tLuo@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2603\tLesley\tDwyer\tF\t1959\t\t17 Dona Ana Court\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t384-156-4830\tK: 250,000 - 299,999\t15000\tDwyer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2615\tGump\tKindrid\tM\t1953\tmarried\t37 East Preston Street\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t587-168-4495\tJ: 190,000 - 249,999\t7000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2617\tGuthrey\tDowling\tM\t1960\t\t37 East Prince Georges Street\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t200-681-8920\tA: Below 30,000\t1500\tDowling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2627\tHalrlan\tJohn\tM\t1959\tsingle\t37 East Raleigh Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t602-332-3712\tI: 170,000 - 189,999\t7000\tJohn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2640\tHatty\tBartlett\tM\t1954\t\t37 East Republic Street\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t505-296-9711\tC: 50,000 - 69,999\t7000\tBartlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2646\tHeidi\tJessup\tF\t1971\t\t37 East Rincon Street\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t216-779-1284\tJ: 190,000 - 249,999\t9000\tJessup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2668\tHomer\tValentino\tM\t1965\t\t37 East Sabine Street\t60543\tTijeras\t52367\tNM\t52671\t52790\t697-400-6048\tE: 90,000 - 109,999\t9000\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2671\tHonda\tLittleton\tM\t1937\t\t37 East Sacramento Street\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t178-104-8033\tB: 30,000 - 49,999\t1500\tLittleton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2681\tLewis\tLife\tM\t1953\tmarried\t17 Douglas Court\t45704\tMackville\t51890\tKY\t52632\t52790\t429-343-7845\tD: 70,000 - 89,999\t1500\tLife@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2690\tInes\tLovett\tM\t1961\t\t37 East San Joaquin Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t581-527-5476\tF: 110,000 - 129,999\t10000\tLovett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2693\tInga\tAaron\tM\t1946\tsingle\t37 East San Miguel Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t658-738-3670\tG: 130,000 - 149,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2699\tJack\tRhodes\tM\t1953\tsingle\t37 East Santa Clara Street\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t693-318-8173\tH: 150,000 - 169,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2708\tJoshie\tHurd\tM\t1978\tsingle\t37 East Schuylkill Street\t76505\tEsslingen\t51457\tBaden-Wuerttemberg\t52559\t52776\t580-448-6659\tH: 150,000 - 169,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2713\tLenore\tKayden\tM\t1959\t\t37 East Seneca Street\t45036\tVanderbilt, MI\t52433\tMI\t52654\t52790\t419-671-7887\tK: 250,000 - 299,999\t9000\tKayden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2720\tLeslie\tTannenbaum\tF\t1977\t\t37 East Shell Street\t72740\tToxey\t52377\tAL\t52534\t52790\t241-397-1838\tF: 110,000 - 129,999\t7000\tTannenbaum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2722\tLeta\tLent\tM\t1938\tsingle\t37 East Sherburne Street\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t601-669-1079\tF: 110,000 - 129,999\t9000\tLent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2724\tLetty\tParkburg\tM\t1948\tmarried\t37 East Shoshone Street\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t591-565-5796\tF: 110,000 - 129,999\t1500\tParkburg@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2737\tLinette\tJacobs\tF\t1960\t\t37 East St. Martin Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t604-111-2987\tC: 50,000 - 69,999\t3000\tJacobs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2741\tLisette\tBeiers\tF\t1963\tmarried\t37 East Starr Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t667-743-3774\tE: 90,000 - 109,999\t5000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2742\tLloyd\tLowers\tM\t1982\tsingle\t37 East Stearns Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t269-418-1245\tF: 110,000 - 129,999\t9000\tLowers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2754\tLotus\tMozzes\tM\t1941\tmarried\t37 East Sumter Street\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t121-106-6262\tD: 70,000 - 89,999\t5000\tMozzes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2755\tLou\tGreene\tM\t1946\tsingle\t37 East Sunset Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t181-765-2951\tF: 110,000 - 129,999\t9000\tGreene@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2760\tLuana\tCrisp\tF\t1962\t\t37 East Sweetwater Street\t38312\tForrestcity\t51513\tAR\t52540\t52790\t425-359-6861\tG: 130,000 - 149,999\t7000\tCrisp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2765\tLucinda\tRoche\tF\t1982\tsingle\t37 East Tallapoosa Street\t42408\tZeist\t52530\tUtrecht\t52750\t52770\t325-745-5693\tD: 70,000 - 89,999\t3000\tRoche@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2766\tLucretia\tHammer\tF\t1956\t\t37 East Taney Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t317-453-4773\tF: 110,000 - 129,999\t7000\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2805\tMara\tSandoval\tF\t1946\tmarried\t37 East Upshur Street\t59061\tSanibel\t52292\tFL\t52595\t52790\t271-266-8956\tG: 130,000 - 149,999\t3000\tSandoval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2808\tMarcella\tKipp\tM\t1956\tsingle\t37 East Valley Street\t58748\tBlaubeuren\t51198\tBaden-Wuerttemberg\t52559\t52776\t276-737-3224\tI: 170,000 - 189,999\t5000\tKipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2822\tMax\tOrr\tM\t1958\tsingle\t37 East Wabash Street\t49027\tOzan\t52043\tAR\t52540\t52790\t182-470-8832\tF: 110,000 - 129,999\t9000\tOrr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2875\tOriena\tBaley\tF\t1939\t\t37 East Wythe Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t364-265-6566\tE: 90,000 - 109,999\t9000\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2885\tPansy\tEdison\tF\t1975\tsingle\t37 East Yellowstone Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t308-180-8243\tA: Below 30,000\t1500\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2887\tPatrick\tLinks\tM\t1948\tmarried\t37 East York Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t614-796-5173\tG: 130,000 - 149,999\t7000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2896\tPenelope\tCalahan\tM\t1949\tsingle\t37 West 42nd Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t111-628-8888\tI: 170,000 - 189,999\t11000\tCalahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2898\tPepita\tDunford\tM\t1929\tmarried\t37 West Adair Street\t84434\tBourges\t51210\tCentre\t52573\t52779\t262-254-4729\tB: 30,000 - 49,999\t3000\tDunford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2917\tPriscilla\tHagan\tM\t1929\t\t37 West Alpine Street\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t453-346-8803\tD: 70,000 - 89,999\t15000\tHagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2918\tPrudence\tAbbey\tM\t1979\tsingle\t37 West Amite Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t162-122-1902\tI: 170,000 - 189,999\t1500\tAbbey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2922\tRadley\tZhang\tM\t1969\t\t37 West Anson Street\t74800\tLakeside\t51783\tOR\t52690\t52790\t422-695-4586\tE: 90,000 - 109,999\t9000\tZhang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2932\tRamsay\tBarbee\tM\t1946\tsingle\t37 West Atchison Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t476-447-3293\tH: 150,000 - 169,999\t5000\tBarbee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2937\tRandall\tFelix\tM\t1946\t\t37 West Augusta Street\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t427-185-9872\tC: 50,000 - 69,999\t3000\tFelix@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2940\tRanier\tClipp\tM\t1970\t\t37 West Avoyelles Street\t90953\tHolyrood\t51667\tKS\t52630\t52790\t594-618-5085\tG: 130,000 - 149,999\t7000\tClipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2942\tRaphaela\tBradley\tM\t1962\tsingle\t37 West Bacon Street\t31813\tAline\t51052\tOK\t52689\t52790\t404-574-4416\tF: 110,000 - 129,999\t9000\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2959\tRene\tManning\tM\t1942\t\t37 West Bayside Street\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t186-456-2949\tC: 50,000 - 69,999\t3000\tManning@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2975\tRobert\tFarmer\tM\t1984\tsingle\t37 West Benzie Street\t32144\tGeorgetown\t51579\tPenang\t52700\t52769\t621-283-2044\tF: 110,000 - 129,999\t9000\tFarmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2997\tRosalie\tRodrick\tF\t1968\tmarried\t37 West Boston Street\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t474-282-3598\tF: 110,000 - 129,999\t1500\tRodrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3013\tRoyce\tCarson\tF\t1947\tsingle\t37 West Britnay Street\t89000\tWadsworth\t52491\tNV\t52678\t52790\t230-291-9238\tH: 150,000 - 169,999\t9000\tCarson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3015\tRoyd\tZimmer\tM\t1952\tsingle\t37 West Bronx Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t169-116-2514\tI: 170,000 - 189,999\t5000\tZimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3029\tSabrina\tBurnns\tF\t1954\tsingle\t37 West Butler Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t694-535-7808\tI: 170,000 - 189,999\t9000\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3031\tSadie\tHanrahan\tM\t1974\tmarried\t37 West Cabo Rojo Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t229-353-6299\tE: 90,000 - 109,999\t1500\tHanrahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3044\tTammy\tTillman\tM\t1978\tmarried\t37 West Carbon Street\t77501\tLowndesville\t51807\tSC\t52722\t52790\t184-360-8322\tF: 110,000 - 129,999\t1500\tTillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3050\tTerry\tRossellett\tF\t1940\t\t37 West Carroll Street\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t377-483-9573\tF: 110,000 - 129,999\t10000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3051\tTerrie\tRoland\tF\t1972\tmarried\t37 West Carson Street\t66692\tHonomu\t51668\tHI\t52615\t52790\t699-280-6436\tG: 130,000 - 149,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3073\tTheron\tAldridge\tM\t1955\t\t37 West Cheshire Street\t43660\tSabadell\t52278\tBarcelona\t52560\t52778\t224-395-3418\tB: 30,000 - 49,999\t1500\tAldridge@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3079\tTiffany\tHatcher\tF\t1969\t\t37 West Chippewa Street\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t566-558-3853\tF: 110,000 - 129,999\t7000\tHatcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3086\tTitania\tEssex\tF\t1963\t\t37 West Clarendon Street\t33529\tLondrina\t51804\tParana\t52698\t52775\t345-363-8451\tF: 110,000 - 129,999\t7000\tEssex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3112\tTristan\tKraft\tM\t1943\t\t37 West Coosa Street\t52092\tGrand Pressigny\t51589\tCentre\t52573\t52779\t212-175-6852\tE: 90,000 - 109,999\t7000\tKraft@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3116\tTroy\tWan\tM\t1985\tsingle\t37 West Coshocton Street\t74903\tArnhem\t51071\tGelderland\t52610\t52770\t557-379-8430\tG: 130,000 - 149,999\t9000\tWan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3120\tTyrone\tTrimmer\tM\t1928\t\t37 West Crawford Street\t34646\tGirona\t51582\tGirona\t52611\t52778\t586-644-1250\tB: 30,000 - 49,999\t1500\tTrimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3130\tUpton\tRoberts\tM\t1958\t\t37 West Cuyahoga Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t450-490-1468\tG: 130,000 - 149,999\t10000\tRoberts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3138\tVal\tLittlefield\tF\t1969\tmarried\t37 West Day Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t286-459-6492\tG: 130,000 - 149,999\t1500\tLittlefield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3143\tValeria\tFelton\tF\t1961\tsingle\t37 West Dearborn Street\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t384-431-4850\tH: 150,000 - 169,999\t10000\tFelton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3145\tValerie\tBraun\tF\t1945\tsingle\t37 West Deer Lodge Street\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t430-656-1148\tF: 110,000 - 129,999\t3000\tBraun@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3148\tVance\tHackett\tM\t1946\tmarried\t37 West Delaware Street\t73216\tFrederick\t51519\tCO\t52569\t52790\t508-675-6958\tA: Below 30,000\t1500\tHackett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3153\tVelma\tGrace\tF\t1943\t\t37 West Dewey Street\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t238-110-1197\tG: 130,000 - 149,999\t9000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3156\tVicky\tPinkston\tF\t1965\tsingle\t37 West Dickson Street\t30000\tRio de Janeiro\t52167\tRio de Janeiro\t52713\t52775\t573-187-3465\tH: 150,000 - 169,999\t10000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3160\tViola\tWeatherford\tF\t1934\t\t37 West Dixon Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t506-756-7871\tA: Below 30,000\t1500\tWeatherford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3180\tLynn\tGoode\tM\t1972\tmarried\t17 Garfield Court\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t625-796-5766\tG: 130,000 - 149,999\t5000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3192\tWynnee\tCarpenter\tM\t1982\t\t37 West Evans Street\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t289-200-2612\tE: 90,000 - 109,999\t3000\tCarpenter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3196\tXerxes\tCoe\tM\t1925\t\t37 West Fannin Street\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t691-670-1795\tC: 50,000 - 69,999\t3000\tCoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3209\tZandra\tFaulk\tF\t1975\t\t37 West Foster City Street\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t503-797-5697\tD: 70,000 - 89,999\t10000\tFaulk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3211\tZebedee\tBanfield\tM\t1930\tsingle\t37 West Frederick Street\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t213-758-1508\tD: 70,000 - 89,999\t3000\tBanfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3245\tArnold\tPhillips\tM\t1949\tsingle\t37 West Grayson Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t675-243-5069\tH: 150,000 - 169,999\t3000\tPhillips@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3248\tMadallyn\tBakker\tF\t1981\tmarried\t17 Gloucester Court\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t153-349-5506\tK: 250,000 - 299,999\t7000\tBakker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3257\tBabs\tRobinson\tM\t1956\t\t37 West Gurabo Street\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t495-255-7997\tF: 110,000 - 129,999\t10000\tRobinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3260\tBaird\tPatrick\tM\t1932\tsingle\t37 West Gwinnett Street\t35402\tHamburg\t51648\tHamburg\t52616\t52776\t166-479-9442\tA: Below 30,000\t1500\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3266\tBarry\tIngram\tM\t1950\tsingle\t37 West Harbor Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t482-375-4121\tH: 150,000 - 169,999\t3000\tIngram@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3272\tBeatrice\tRittenour\tF\t1976\tmarried\t37 West Harnett Street\t61555\tBath\t51168\tEngland - Avon\t52588\t52789\t383-368-2724\tA: Below 30,000\t1500\tRittenour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3274\tBee\tWestman\tF\t1955\t\t37 West Harrison Street\t55526\tAlma\t51056\tAR\t52540\t52790\t615-413-3312\tG: 130,000 - 149,999\t7000\tWestman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3288\tBetsy\tAlden\tF\t1948\tmarried\t37 West Hillsborough Street\t90074\tBremen\t51215\tBremen\t52564\t52776\t489-433-7034\tC: 50,000 - 69,999\t5000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3294\tBeverly\tLucas\tF\t1951\tsingle\t37 West Holly Street\t82774\tKent\t51724\tCT\t52572\t52790\t338-641-4370\tI: 170,000 - 189,999\t7000\tLucas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3319\tBrandy\tWelk\tM\t1938\tsingle\t37 West Iroquois Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t243-591-5797\tD: 70,000 - 89,999\t3000\tWelk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3329\tBrooke\tKindred\tM\t1944\t\t37 West Jefferson Street\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t626-567-2855\tE: 90,000 - 109,999\t9000\tKindred@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3338\tBuick\tLavin\tM\t1921\t\t37 West Juniata Street\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t673-667-9162\tB: 30,000 - 49,999\t1500\tLavin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3339\tByron\tJohn\tM\t1977\tmarried\t37 West Kanabec Street\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t545-269-7031\tG: 130,000 - 149,999\t1500\tJohn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3369\tCharli\tKeith\tM\t1962\tsingle\t37 West Lagrange Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t698-734-5918\tB: 30,000 - 49,999\t1500\tKeith@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3394\tDevona\tBerry\tF\t1940\t\t37 West Lenawee Street\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t578-288-3454\tD: 70,000 - 89,999\t7000\tBerry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3396\tDiana\tMann\tF\t1981\t\t37 West Levy Street\t85268\tWellington\t52503\tWellington\t52766\t52785\t214-759-3548\tC: 50,000 - 69,999\t9000\tMann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3407\tDonna\tOdenwalld\tF\t1921\t\t37 West Los Angeles Street\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t667-130-9282\tB: 30,000 - 49,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3434\tEzra\tDurby\tM\t1937\tmarried\t37 West Marsh Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t544-128-5181\tD: 70,000 - 89,999\t5000\tDurby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3437\tFillmore\tLucy\tM\t1966\tsingle\t37 West Marshland Street\t70126\tAldridge\t51050\tEngland - West Midlands\t52593\t52789\t218-636-2242\tI: 170,000 - 189,999\t10000\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3439\tFlint\tPetrella\tM\t1965\t\t37 West Mason Street\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t369-726-4198\tE: 90,000 - 109,999\t3000\tPetrella@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3450\tFrankie\tUtterback\tM\t1950\tsingle\t37 West Mcintosh Street\t34427\tGalway City\t51571\tGalway\t52608\t52772\t623-207-9009\tG: 130,000 - 149,999\t9000\tUtterback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3455\tFredie\tZhao\tM\t1951\tsingle\t37 West Mcpherson Street\t42408\tZeist\t52530\tUtrecht\t52750\t52770\t288-795-5347\tI: 170,000 - 189,999\t5000\tZhao@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3466\tGary\tMozzes\tM\t1982\tsingle\t37 West Middlesex Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t130-555-5595\tD: 70,000 - 89,999\t3000\tMozzes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3467\tGaston\tGreene\tM\t1958\tsingle\t37 West Midland Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t398-380-4014\tH: 150,000 - 169,999\t7000\tGreene@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3472\tGeoffrey\tCrisp\tM\t1972\tmarried\t37 West Mills Street\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t386-518-4684\tG: 130,000 - 149,999\t1500\tCrisp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3478\tGilbert\tHammer\tM\t1975\tmarried\t37 West Moca Street\t67042\tCranford\t51345\tNJ\t52670\t52790\t143-382-8401\tE: 90,000 - 109,999\t1500\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3482\tGiles\tBuckett\tM\t1976\tmarried\t37 West Mono Street\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t446-165-3899\tA: Below 30,000\t1500\tBuckett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3522\tHarrie\tCrabtree\tM\t1956\tsingle\t37 West Norfolk Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t415-445-4889\tD: 70,000 - 89,999\t9000\tCrabtree@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3539\tHelga\tBacon\tM\t1950\tsingle\t37 West Oneida Street\t84256\tStrang\t52329\tNE\t52666\t52790\t671-722-9608\tG: 130,000 - 149,999\t3000\tBacon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3555\tHolmes\tNance\tM\t1959\t\t37 West Oxford Street\t51969\tTrafford\t52378\tAL\t52534\t52790\t497-278-1027\tE: 90,000 - 109,999\t9000\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3578\tIna\tCummins\tF\t1955\tsingle\t37 West Pennington Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t359-525-9675\tH: 150,000 - 169,999\t1500\tCummins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3582\tInga\tEmbrey\tM\t1965\tmarried\t37 West Phelps Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t341-672-2620\tG: 130,000 - 149,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3589\tJackie\tPlayer\tF\t1946\t\t37 West Pittsburg Street\t84434\tBourges\t51210\tCentre\t52573\t52779\t137-492-9234\tE: 90,000 - 109,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3590\tJacob\tGentile\tM\t1979\t\t37 West Pittsylvania Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t333-496-7747\tF: 110,000 - 129,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3591\tJacqueline\tDrumm\tF\t1971\tmarried\t37 West Placer Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t531-603-8836\tB: 30,000 - 49,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3599\tLeah\tLinks\tM\t1950\tsingle\t37 West Pontotoc Street\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t253-293-3456\tH: 150,000 - 169,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3605\tLeonore\tCurr\tM\t1973\tmarried\t37 West Pottawatomie Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t146-191-8137\tA: Below 30,000\t1500\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3607\tLeora\tCalahan\tF\t1957\t\t37 West Potter Street\t50032\tDecatur\t51382\tTX\t52745\t52790\t564-451-9805\tG: 130,000 - 149,999\t7000\tCalahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3608\tLesley\tLyles\tF\t1957\tmarried\t37 West Power Street\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t404-156-4761\tK: 250,000 - 299,999\t7000\tLyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3612\tLetitia\tCartwright\tF\t1979\tsingle\t37 West Preble Street\t32701\tFreising\t51522\tBayern\t52561\t52776\t622-621-8386\tB: 30,000 - 49,999\t3000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3619\tLibby\tMancini\tF\t1937\t\t37 West Providence Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t239-560-1476\tE: 90,000 - 109,999\t3000\tMancini@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3622\tLincoln\tGreeley\tM\t1972\tsingle\t37 West Putnam Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t496-704-8262\tH: 150,000 - 169,999\t9000\tGreeley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3625\tMaurice\tFerrin\tM\t1982\tsingle\t17 Harbor Court\t70577\tPaterna\t52105\tValencia\t52755\t52778\t444-447-3510\tH: 150,000 - 169,999\t3000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3630\tLisette\tOrm\tF\t1976\t\t37 West Randolph Street\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t470-775-8936\tE: 90,000 - 109,999\t10000\tOrm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3657\tLuke\tVale\tM\t1942\tmarried\t37 West Rooks Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t423-536-2001\tA: Below 30,000\t1500\tVale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3658\tMaxwell\tJessup\tM\t1958\tsingle\t17 Hardy Court\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t487-421-6602\tK: 250,000 - 299,999\t11000\tJessup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3659\tLuna\tHammill\tF\t1954\tsingle\t37 West Roosevelt Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t416-664-4641\tI: 170,000 - 189,999\t3000\tHammill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3671\tMacklin\tManning\tM\t1957\t\t37 West Sacramento Street\t32144\tGeorgetown\t51579\tPenang\t52700\t52769\t660-233-6455\tB: 30,000 - 49,999\t1500\tManning@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3684\tMaggie\tLesley\tF\t1942\t\t37 West Saluda Street\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t556-516-5035\tF: 110,000 - 129,999\t10000\tLesley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3689\tMandisa\tCooper\tF\t1949\tsingle\t37 West San Jacinto Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t349-568-1981\tH: 150,000 - 169,999\t11000\tCooper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3703\tMerrell\tBarnes\tM\t1974\t\t17 Harrison Court\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t187-618-2037\tG: 130,000 - 149,999\t7000\tBarnes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3707\tMarwin\tDaily\tM\t1949\t\t37 West Schuyler Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t388-569-9437\tF: 110,000 - 129,999\t7000\tDaily@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3734\tMorris\tLinsicome\tM\t1941\tmarried\t37 West Spokane Street\t81319\tBarre\t51165\tMA\t52649\t52790\t582-174-9277\tD: 70,000 - 89,999\t5000\tLinsicome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3755\tOliver\tTillman\tM\t1948\tsingle\t37 West Sunset Street\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t543-135-1335\tF: 110,000 - 129,999\t9000\tTillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3775\tPatience\tLeopard\tM\t1945\tsingle\t37 West Teton Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t484-282-7959\tF: 110,000 - 129,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3778\tPatty\tPoe\tF\t1978\tsingle\t37 West Tillamook Street\t33529\tLondrina\t51804\tParana\t52698\t52775\t212-532-8223\tJ: 190,000 - 249,999\t11000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3793\tPetula\tSagan\tM\t1985\tsingle\t37 West Trinity Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t291-116-2602\tI: 170,000 - 189,999\t3000\tSagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3802\tPortia\tBarlow\tF\t1958\tsingle\t37 West Union Street\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t437-392-6160\tF: 110,000 - 129,999\t9000\tBarlow@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3815\tRaleigh\tFaimon\tM\t1973\tmarried\t37 West Vieques Street\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t219-763-1654\tA: Below 30,000\t1500\tFaimon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3831\tRaphaela\tTrimmer\tM\t1981\tmarried\t37 West Walworth Street\t33065\tBlackduck\t51195\tMN\t52656\t52790\t147-366-3289\tF: 110,000 - 129,999\t1500\tTrimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3835\tRaymond\tZiluca\tM\t1960\tsingle\t37 West Wasco Street\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t279-147-6195\tF: 110,000 - 129,999\t9000\tZiluca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3854\tReyburn\tFelton\tM\t1949\tsingle\t37 West Whitley Street\t46394\tPassau\t52104\tBayern\t52561\t52776\t281-592-8249\tH: 150,000 - 169,999\t7000\tFelton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3856\tRichard\tBraun\tM\t1963\t\t37 West Wichita Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t654-268-4824\tF: 110,000 - 129,999\t10000\tBraun@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3863\tRob\tIngersoll\tM\t1941\t\t37 West Windmill Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t522-289-9268\tC: 50,000 - 69,999\t3000\tIngersoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3873\tRoger\tGutierrez\tM\t1973\t\t37 West Wright Street\t62980\tMalakoff\t51895\tIle-de-France\t52623\t52779\t153-742-4377\tF: 110,000 - 129,999\t7000\tGutierrez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3880\tMortimer\tValentino\tM\t1968\tmarried\t17 Hocking Court\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t383-566-9633\tC: 50,000 - 69,999\t1500\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3885\tRosa\tMurray\tF\t1979\tsingle\t37 West Yellowstone Street\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t248-538-9836\tA: Below 30,000\t1500\tMurray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3898\tRoswald\tGressett\tM\t1972\tmarried\t37 North Adair Street\t70669\tAneta\t51065\tND\t52665\t52790\t340-644-8975\tB: 30,000 - 49,999\t1500\tGressett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3919\tSada\tIvy\tM\t1977\tsingle\t37 North Amphethetre Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t187-709-9702\tI: 170,000 - 189,999\t3000\tIvy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3951\tThatcher\tRodgers\tM\t1943\tmarried\t37 North Barton Street\t38643\tKitakyushu\t51731\tFukuoka\t52601\t52782\t606-132-6725\tC: 50,000 - 69,999\t1500\tRodgers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3954\tTheodora\tHartzog\tF\t1975\tmarried\t37 North Baton Rouge Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t668-782-5126\tC: 50,000 - 69,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3968\tTiffany\tCassidy\tF\t1941\tsingle\t37 North Bee Street\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t205-537-6290\tF: 110,000 - 129,999\t9000\tCassidy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3970\tTilden\tPatrick\tM\t1956\t\t37 North Bell Street\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t134-200-6027\tE: 90,000 - 109,999\t10000\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3971\tTilford\tLife\tM\t1980\tmarried\t37 North Belmont Street\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t505-757-5726\tE: 90,000 - 109,999\t1500\tLife@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3974\tTirrell\tKeiner\tM\t1969\tmarried\t37 North Benton Street\t71750\tSalthill\t52287\tGalway\t52608\t52772\t434-670-6341\tC: 50,000 - 69,999\t5000\tKeiner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3979\tTobin\tColter\tM\t1981\t\t37 North Bertie Street\t56778\tBirch Run\t51190\tMI\t52654\t52790\t115-489-8392\tJ: 190,000 - 249,999\t9000\tColter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3981\tTom\tOppy\tM\t1961\tmarried\t37 North Bexar Street\t62826\tRyder\t52178\tND\t52665\t52790\t249-668-2497\tL: 300,000 and above\t7000\tOppy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3982\tToland\tRittenour\tM\t1942\tsingle\t37 North Bienville Street\t80371\tHalle\t51647\tSachsen-Anhalt\t52732\t52776\t302-159-2485\tG: 130,000 - 149,999\t11000\tRittenour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3986\tTorrance\tGilmore\tM\t1948\t\t37 North Black Hawk Street\t75214\tMar del Plata\t51899\tBuenos Aires\t52566\t52773\t188-739-7636\tE: 90,000 - 109,999\t7000\tGilmore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3991\tNona\tPerez\tF\t1970\tsingle\t17 Howard Court\t79889\tKrefeld\t51738\tNordrhein-Westfalen\t52684\t52776\t200-192-6730\tF: 110,000 - 129,999\t9000\tPerez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4004\tTrixy\tRust\tM\t1939\t\t37 North Boyd Street\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t545-509-7204\tB: 30,000 - 49,999\t1500\tRust@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4006\tTrudy\tGilboy\tM\t1985\t\t37 North Braxton Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t375-716-4212\tK: 250,000 - 299,999\t11000\tGilboy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4021\tUrania\tGoode\tF\t1945\tmarried\t37 North Bucks Street\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t581-690-2235\tD: 70,000 - 89,999\t5000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4029\tVale\tZanth\tF\t1956\tsingle\t37 North Butler Street\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t179-198-6434\tI: 170,000 - 189,999\t9000\tZanth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4034\tValerie\tGimes\tF\t1943\tmarried\t37 North Caguas Street\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t698-255-3891\tF: 110,000 - 129,999\t5000\tGimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4037\tVance\tKindrid\tM\t1917\t\t37 North Caldwell Street\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t468-479-6897\tA: Below 30,000\t1500\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4054\tWendy\tLu\tF\t1945\tmarried\t37 North Cass Street\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t637-326-3620\tE: 90,000 - 109,999\t5000\tLu@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4068\tWoodley\tJessup\tM\t1963\t\t37 North Chelsea Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t465-315-8842\tC: 50,000 - 69,999\t9000\tJessup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4075\tWrght\tVail\tM\t1980\tsingle\t37 North Chesterfield Street\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t357-785-1481\tF: 110,000 - 129,999\t9000\tVail@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4078\tWyman\tUnderhill\tM\t1948\tsingle\t37 North Chickasaw Street\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t217-510-5353\tF: 110,000 - 129,999\t3000\tUnderhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4080\tOliver\tValdez\tM\t1955\tmarried\t17 Iberville Court\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t417-135-3068\tF: 110,000 - 129,999\t1500\tValdez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4106\tZenda\tMann\tF\t1933\t\t37 North Columbia Street\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t561-567-2771\tE: 90,000 - 109,999\t7000\tMann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4112\tZylina\tCattlett\tF\t1953\t\t37 North Coosa Street\t36029\tBethelpark\t51185\tPA\t52693\t52790\t261-753-1339\tE: 90,000 - 109,999\t7000\tCattlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4115\tAbel\tAaron\tM\t1968\tmarried\t37 North Corson Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t623-667-6791\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4127\tAnnie\tGilmour\tF\t1946\t\t37 North Currituck Street\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t347-610-6477\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4148\tBaird\tLucy\tM\t1942\tmarried\t37 North Delaware Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t285-411-9396\tA: Below 30,000\t1500\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4169\tOriena\tNenninger\tF\t1968\t\t17 Isabela Court\t33529\tLondrina\t51804\tParana\t52698\t52775\t460-665-2645\tE: 90,000 - 109,999\t7000\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4184\tBiddy\tTitus\tM\t1968\tmarried\t37 North Emanuel Street\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t171-130-8977\tB: 30,000 - 49,999\t1500\tTitus@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4185\tBillie\tWiser\tM\t1959\t\t37 North Embarcadero Street\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t518-398-8151\tE: 90,000 - 109,999\t3000\tWiser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4192\tBlossom\tBuckett\tF\t1934\t\t37 North Evans Street\t58748\tBlaubeuren\t51198\tBaden-Wuerttemberg\t52559\t52776\t382-276-2075\tE: 90,000 - 109,999\t3000\tBuckett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4226\tBuick\tEmmerson\tM\t1942\tsingle\t37 North Genesee Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t223-104-5001\tB: 30,000 - 49,999\t3000\tEmmerson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4236\tPam\tGilmour\tF\t1969\tsingle\t17 Jackson Court\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t509-724-9186\tL: 300,000 and above\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4248\tCarlos\tBarone\tM\t1977\tmarried\t37 North Greenwood Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t453-738-8468\tG: 130,000 - 149,999\t5000\tBarone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4249\tCarlyle\tLehman\tM\t1945\tsingle\t37 North Griggs Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t162-518-7987\tG: 130,000 - 149,999\t11000\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4253\tCaspar\tDahl\tM\t1953\t\t37 North Guaynabo Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t422-306-7841\tE: 90,000 - 109,999\t7000\tDahl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4257\tCharli\tHandsome\tM\t1964\tmarried\t37 North Guthrie Street\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t278-584-7695\tB: 30,000 - 49,999\t1500\tHandsome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4274\tDelores\tSalem\tF\t1958\tmarried\t37 North Hartford Street\t47545\tSmyrna\t52317\tNY\t52679\t52790\t160-394-8432\tK: 250,000 - 299,999\t7000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4285\tDina\tLandolt\tF\t1979\t\t37 North Hilly Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t539-228-9641\tE: 90,000 - 109,999\t3000\tLandolt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4295\tDonna\tSadworth\tF\t1942\tsingle\t37 North Honolulu Street\t89153\tCelle\t51320\tNiedersachsen\t52681\t52776\t470-262-1278\tB: 30,000 - 49,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4296\tDora\tRice\tF\t1964\t\t37 North Hopkins Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t412-743-5808\tE: 90,000 - 109,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4305\tEmmett\tOsborne\tM\t1986\tsingle\t37 North Humacao Street\t73071\tAlleppey\t51054\tKerala\t52636\t52771\t316-553-2854\tH: 150,000 - 169,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4313\tPatty\tLillis\tF\t1954\tmarried\t17 Juana Diaz Court\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t115-532-4996\tJ: 190,000 - 249,999\t7000\tLillis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4344\tFredie\tDunhill\tM\t1951\tsingle\t37 North Kenedey Street\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t664-409-7697\tI: 170,000 - 189,999\t10000\tDunhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4349\tGalen\tKatz\tM\t1956\tsingle\t37 North Ketchikan Gateway Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t222-146-1440\tI: 170,000 - 189,999\t5000\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4353\tGarrett\tYan\tM\t1983\tsingle\t37 North Kiowa Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t233-404-2409\tG: 130,000 - 149,999\t3000\tYan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4380\tGodfrey\tKnox\tM\t1955\t\t37 North Las Piedras Street\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t629-374-1986\tK: 250,000 - 299,999\t9000\tKnox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4401\tHal\tSmyth\tM\t1953\tmarried\t37 North Litchfield Street\t52893\tBamberg\t51162\tBayern\t52561\t52776\t381-113-8618\tD: 70,000 - 89,999\t5000\tSmyth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4404\tHali\tBane\tM\t1956\t\t37 North Logan Street\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t661-108-4176\tC: 50,000 - 69,999\t3000\tBane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4407\tHannah\tGroves\tF\t1945\t\t37 North Los Angeles Street\t30662\tQuimper\t52119\tBrittany\t52565\t52779\t290-493-5792\tB: 30,000 - 49,999\t1500\tGroves@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4414\tPersis\tLent\tM\t1941\tmarried\t17 Kent Court\t53924\tGardanne\t51572\tProvence-Alpes-Cote d'Azur\t52701\t52779\t462-299-3460\tD: 70,000 - 89,999\t1500\tLent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4416\tHarvey\tKohler\tM\t1939\t\t37 North Lyman Street\t92117\tOranjewoud\t52037\tFriesland\t52600\t52770\t372-454-1982\tE: 90,000 - 109,999\t9000\tKohler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4420\tHeath\tRodrick\tF\t1949\t\t37 North Madera Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t192-563-8077\tF: 110,000 - 129,999\t7000\tRodrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4431\tHenry\tLincoln\tM\t1974\tmarried\t37 North Marine World Street\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t378-265-6402\tE: 90,000 - 109,999\t1500\tLincoln@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4433\tHerman\tKidwell\tM\t1973\t\t37 North Marion Street\t58488\tDolores\t51391\tCO\t52569\t52790\t665-304-4437\tF: 110,000 - 129,999\t7000\tKidwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4442\tHolly\tGrier\tM\t1945\tsingle\t37 North Mayaguez Street\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t282-222-9667\tF: 110,000 - 129,999\t9000\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4450\tHoney\tSager\tF\t1950\tsingle\t37 North Mcintosh Street\t66572\tKawasaki\t51721\tKanagawa\t52634\t52782\t133-613-5111\tG: 130,000 - 149,999\t9000\tSager@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4459\tPhil\tArdena\tM\t1935\t\t17 King Court\t62476\tSheldon\t52308\tWI\t52760\t52790\t626-528-7513\tC: 50,000 - 69,999\t9000\tArdena@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4483\tJason\tBarr\tM\t1961\t\t37 North Monongalia Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t429-736-8830\tE: 90,000 - 109,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4490\tLenora\tPoe\tF\t1955\tsingle\t37 North Moody Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t280-112-7441\tH: 150,000 - 169,999\t10000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4496\tLeora\tAldridge\tF\t1981\tsingle\t37 North Morovis Street\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t598-618-7325\tG: 130,000 - 149,999\t9000\tAldridge@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4505\tLewis\tHurst\tM\t1941\tmarried\t37 North Muskogee Street\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t443-661-1498\tD: 70,000 - 89,999\t1500\tHurst@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4507\tLiane\tWilmoth\tF\t1962\t\t37 North Narrow Isle Street\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t158-390-2558\tC: 50,000 - 69,999\t7000\tWilmoth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4517\tLisa\tGerman\tF\t1956\t\t37 North Newaygo Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t144-320-5415\tF: 110,000 - 129,999\t10000\tGerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4524\tLoleta\tLockhard\tF\t1943\tmarried\t37 North Nye Street\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t363-192-9638\tF: 110,000 - 129,999\t1500\tLockhard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4528\tLoris\tOrrson\tM\t1978\tsingle\t37 North Ocean Street\t70788\tEmmen\t51451\tDrenthe\t52579\t52770\t691-295-4417\tH: 150,000 - 169,999\t5000\tOrrson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4534\tLoui\tParkinson\tM\t1972\tmarried\t37 North Okanogan Street\t73216\tFrederick\t51519\tCO\t52569\t52790\t107-784-6683\tF: 110,000 - 129,999\t5000\tParkinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4552\tLyman\tRoberts\tM\t1957\tsingle\t37 North Otsego Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t540-484-5880\tA: Below 30,000\t1500\tRoberts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4578\tMandisa\tGrandy\tF\t1947\tsingle\t37 North Pennington Street\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t221-732-9128\tH: 150,000 - 169,999\t3000\tGrandy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4597\tMason\tMurray\tM\t1945\tsingle\t37 North Polk Street\t58801\tSkagen\t52313\tNorth Jutland\t52685\t52777\t482-219-4032\tH: 150,000 - 169,999\t15000\tMurray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4599\tMaurice\tBaltimore\tM\t1949\tsingle\t37 North Pontotoc Street\t67843\tArbuckle\t51069\tCA\t52567\t52790\t663-429-6970\tH: 150,000 - 169,999\t5000\tBaltimore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4622\tMorley\tRokus\tM\t1964\tsingle\t37 North Putnam Street\t55787\tMontara\t51919\tCA\t52567\t52790\t417-414-3983\tH: 150,000 - 169,999\t9000\tRokus@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4625\tRachelle\tZhao\tF\t1950\tsingle\t17 Lac Qui Court\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t368-211-8502\tH: 150,000 - 169,999\t3000\tZhao@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4636\tRadley\tBarber\tM\t1933\t\t17 Lafayette Court\t47996\tOran\t52035\tMO\t52657\t52790\t206-799-8863\tE: 90,000 - 109,999\t7000\tBarber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4638\tNorma\tStokley\tM\t1946\tmarried\t37 North Redwood Shores Street\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t509-281-6437\tE: 90,000 - 109,999\t1500\tStokley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4658\tRaina\tVaughn\tF\t1925\tsingle\t17 Lagrange Court\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t653-634-4858\tB: 30,000 - 49,999\t1500\tVaughn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4668\tPaula\tRush\tF\t1937\t\t37 North Sabine Street\t73872\tErfurt\t51455\tThueringen\t52746\t52776\t545-175-8087\tE: 90,000 - 109,999\t9000\tRush@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4704\tRaleigh\tKaden\tM\t1937\t\t37 North Sarasota Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t514-675-9450\tA: Below 30,000\t1500\tKaden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4706\tRalston\tGatewood\tM\t1979\t\t37 North Schoharie Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t510-221-7433\tE: 90,000 - 109,999\t3000\tGatewood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4710\tRamsay\tAlden\tM\t1981\tsingle\t37 North Scott Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t419-571-2900\tH: 150,000 - 169,999\t10000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4711\tRamsey\tLuo\tM\t1975\tmarried\t37 North Scotts Bluff Street\t67533\tNorth Hills\t51992\tWV\t52762\t52790\t309-339-8159\tF: 110,000 - 129,999\t1500\tLuo@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4727\tReba\tLuke\tF\t1954\t\t37 North Siskiyou Street\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t214-482-7650\tD: 70,000 - 89,999\t7000\tLuke@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4734\tReginald\tNettles\tM\t1935\tmarried\t37 North Spokane Street\t34197\tSkagway\t52314\tAK\t52533\t52790\t465-136-3173\tD: 70,000 - 89,999\t5000\tNettles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4739\tRenita\tBakker\tF\t1941\tsingle\t37 North Stanislaus Street\t72409\tOosterhout\t52033\tNoord-Brabant\t52682\t52770\t269-507-9639\tF: 110,000 - 129,999\t3000\tBakker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4746\tRichmond\tNovak\tM\t1967\t\t37 North Story Street\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t263-537-6500\tF: 110,000 - 129,999\t7000\tNovak@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4753\tRobert\tLawson\tM\t1959\t\t37 North Sumner Street\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t501-717-5186\tF: 110,000 - 129,999\t7000\tLawson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4762\tRoger\tFeldman\tM\t1962\tsingle\t37 North Tahoe Street\t52562\tDuson\t51404\tLA\t52641\t52790\t325-760-5951\tF: 110,000 - 129,999\t9000\tFeldman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4768\tRomeo\tKahn\tM\t1961\tsingle\t37 North Tate Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t411-620-9397\tA: Below 30,000\t1500\tKahn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4800\tRufus\tGlassman\tM\t1946\tsingle\t37 North Tyler Street\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t361-243-6162\tH: 150,000 - 169,999\t9000\tGlassman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4827\tTeri\tKessel\tF\t1944\t\t37 North Wakulla Street\t66098\tRiyadh\t52168\tRiyadh\t52714\t52787\t552-368-1953\tA: Below 30,000\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4837\tThacher\tKoch\tM\t1967\t\t37 North Washakie Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t277-581-3540\tJ: 190,000 - 249,999\t15000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4844\tTheodore\tCarr\tF\t1952\tsingle\t37 North Weld Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t651-179-2169\tH: 150,000 - 169,999\t1500\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4867\tTobias\tHamrick\tM\t1952\tmarried\t37 North Winnebago Street\t89623\tHaaren\t51643\tNoord-Brabant\t52682\t52770\t145-209-1331\tF: 110,000 - 129,999\t5000\tHamrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4868\tTobin\tCapp\tM\t1959\tsingle\t37 North Wood Street\t60768\tValbone\t52429\tProvence-Alpes-Cote d'Azur\t52701\t52779\t547-241-3053\tJ: 190,000 - 249,999\t11000\tCapp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4874\tTony\tBeiers\tM\t1935\tmarried\t37 North Wyoming Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t394-591-4029\tD: 70,000 - 89,999\t5000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4879\tTrahern\tVaughn\tM\t1952\t\t37 North Yamhill Street\t59061\tSanibel\t52292\tFL\t52595\t52790\t565-214-8609\tA: Below 30,000\t1500\tVaughn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4884\tTrent\tRoman\tM\t1971\tmarried\t37 North Yell Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t614-567-4829\tE: 90,000 - 109,999\t1500\tRoman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4891\tDebbie\tSullivan\tF\t1971\tsingle\t7 South Camden Circle\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t251-148-8448\tG: 130,000 - 149,999\t9000\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4900\tUdo\tHammer\tM\t1967\t\t37 South Aguadilla Street\t49027\tOzan\t52043\tAR\t52540\t52790\t553-455-8637\tD: 70,000 - 89,999\t7000\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4913\tUrsula\tVankirk\tM\t1947\t\t37 South Allamakee Street\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t453-300-3073\tF: 110,000 - 129,999\t7000\tVankirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4939\tViolet\tCleveland\tF\t1947\tsingle\t37 South Automobile Street\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t404-740-3650\tF: 110,000 - 129,999\t3000\tCleveland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4945\tWilhelmina\tLongerbeam\tM\t1944\tsingle\t37 South Bannock Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t672-155-2653\tB: 30,000 - 49,999\t3000\tLongerbeam@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4960\tWoodward\tLehman\tM\t1980\tsingle\t37 South Bayview Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t293-332-8585\tI: 170,000 - 189,999\t7000\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4962\tWorth\tBlankenship\tM\t1922\tsingle\t37 South Beachfront Street\t47545\tSmyrna\t52317\tNY\t52679\t52790\t412-130-9895\tB: 30,000 - 49,999\t1500\tBlankenship@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4965\tWyatt\tLake\tM\t1951\tsingle\t37 South Beaver Street\t47545\tSmyrna\t52317\tNY\t52679\t52790\t191-361-8573\tH: 150,000 - 169,999\t3000\tLake@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4993\tZel\tLivesay\tM\t1979\tsingle\t37 South Bolivar Street\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t246-312-7308\tL: 300,000 and above\t9000\tLivesay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4995\tZenda\tSaintclair\tF\t1945\t\t37 South Boone Street\t32701\tFreising\t51522\tBayern\t52561\t52776\t519-197-8879\tE: 90,000 - 109,999\t9000\tSaintclair@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5007\tAbraham\tSadworth\tM\t1959\tsingle\t37 South Brazoria Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t512-609-7904\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5029\tAugustus\tCalahan\tM\t1956\tsingle\t37 South Butler Street\t88997\tGdansk\t51576\tGdansk\t52609\t52786\t257-415-8224\tI: 170,000 - 189,999\t9000\tCalahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5030\tAustin\tLyles\tM\t1980\tsingle\t37 South Butte Street\t58260\tLewisburg\t51795\tOH\t52688\t52790\t516-202-4055\tI: 170,000 - 189,999\t10000\tLyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5059\tBert\tKatz\tM\t1956\tsingle\t37 South Catawba Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t572-683-2008\tJ: 190,000 - 249,999\t11000\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5060\tBertha\tLucca\tF\t1977\t\t37 South Catoosa Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t618-308-1659\tD: 70,000 - 89,999\t7000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5075\tBing\tBradley\tM\t1984\tsingle\t37 South Chesterfield Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t174-418-2919\tF: 110,000 - 129,999\t9000\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5084\tBob\tLondon\tM\t1931\tmarried\t37 South Cidra Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t406-362-3143\tC: 50,000 - 69,999\t1500\tLondon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5098\tBrenda\tTyler\tM\t1936\tsingle\t37 South Coamo Street\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t665-745-3961\tD: 70,000 - 89,999\t3000\tTyler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5107\tBruce\tGilroy\tM\t1946\tmarried\t37 South Columbiana Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t282-137-7266\tA: Below 30,000\t1500\tGilroy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5135\tCarlisle\tNewkirk\tM\t1946\tsingle\t37 South Davidson Street\t60874\tElche\t51448\tAlicante\t52544\t52778\t535-442-2267\tF: 110,000 - 129,999\t9000\tNewkirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5147\tRiva\tDunbar\tF\t1932\tmarried\t17 Macon Court\t48346\tNoma\t51985\tFL\t52595\t52790\t403-654-9146\tC: 50,000 - 69,999\t1500\tDunbar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5162\tDelora\tBurnns\tF\t1971\tsingle\t37 South Dolphin Street\t89783\tDortmund\t51394\tNordrhein-Westfalen\t52684\t52776\t147-451-3504\tG: 130,000 - 149,999\t9000\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5176\tDiona\tEagle\tF\t1946\t\t37 South Dutchess Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t201-577-3305\tC: 50,000 - 69,999\t3000\tEagle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5200\tEric\tPoe\tM\t1975\tmarried\t37 South Federated States Street\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t127-193-9209\tF: 110,000 - 129,999\t5000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5240\tGarnett\tLauers\tM\t1981\t\t37 South Grand View Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t659-129-5175\tJ: 190,000 - 249,999\t9000\tLauers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5245\tGavin\tParkinson\tM\t1945\tsingle\t37 South Greene Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t487-511-3952\tF: 110,000 - 129,999\t3000\tParkinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5252\tGerhard\tLein\tM\t1965\tsingle\t37 South Guayanilla Street\t34386\tEunice\t51458\tNM\t52671\t52790\t464-184-9986\tI: 170,000 - 189,999\t3000\tLein@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5268\tGodfrey\tRockwell\tM\t1958\tsingle\t37 South Hardy Street\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t355-421-9614\tK: 250,000 - 299,999\t11000\tRockwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5271\tGordon\tLittlefield\tM\t1970\tmarried\t37 South Harnett Street\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t507-608-9789\tA: Below 30,000\t1500\tLittlefield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5275\tGregory\tCole\tM\t1946\tsingle\t37 South Harvey Street\t63507\tErding\t51454\tBayern\t52561\t52776\t684-574-7141\tF: 110,000 - 129,999\t9000\tCole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5277\tGriffith\tLi\tM\t1941\tmarried\t37 South Hawaii Street\t40365\tTralee\t52379\tKerry\t52637\t52772\t537-631-4668\tF: 110,000 - 129,999\t1500\tLi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5280\tRolfe\tLindegreen\tM\t1970\tmarried\t17 Marine World Court\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t164-270-2155\tE: 90,000 - 109,999\t1500\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5310\tHector\tColven\tM\t1955\tmarried\t37 South Iberville Street\t55787\tMontara\t51919\tCA\t52567\t52790\t115-135-9714\tF: 110,000 - 129,999\t1500\tColven@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5314\tHelen\tTanney\tF\t1966\tmarried\t37 South Information Street\t56100\tJena\t51696\tThueringen\t52746\t52776\t690-432-6359\tL: 300,000 and above\t7000\tTanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5316\tHelga\tKane\tM\t1950\t\t37 South Iredell Street\t76764\tAubervilliers\t51080\tIle-de-France\t52623\t52779\t646-365-3137\tG: 130,000 - 149,999\t10000\tKane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5319\tHenry\tGressett\tM\t1968\t\t37 South Isabela Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t387-665-1376\tE: 90,000 - 109,999\t7000\tGressett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5325\tHetty\tCarpenter\tM\t1951\tsingle\t37 South Izard Street\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t626-486-2386\tI: 170,000 - 189,999\t3000\tCarpenter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5350\tIdola\tPearson\tF\t1961\t\t37 South King And Street\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t251-450-4104\tF: 110,000 - 129,999\t10000\tPearson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5368\tJacqueline\tRowley\tF\t1925\tsingle\t37 South Lagrange Street\t82774\tKent\t51724\tCT\t52572\t52790\t514-634-1310\tB: 30,000 - 49,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5389\tLetitia\tRobinson\tF\t1965\t\t37 South Lee Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t578-598-5774\tB: 30,000 - 49,999\t1500\tRobinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5394\tLiana\tOliver\tF\t1928\tmarried\t37 South Leslie Street\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t403-267-1430\tA: Below 30,000\t1500\tOliver@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5410\tLois\tBarker\tM\t1973\tmarried\t37 South Lunenburg Street\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t455-144-2315\tD: 70,000 - 89,999\t1500\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5420\tLotus\tAlden\tM\t1945\tmarried\t37 South Madison Street\t43866\tPerry\t52107\tIL\t52619\t52790\t259-682-7970\tD: 70,000 - 89,999\t5000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5424\tRosanna\tBartok\tF\t1964\tsingle\t17 Mccurtain Court\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t425-480-7780\tJ: 190,000 - 249,999\t11000\tBartok@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5446\tArmand\tHurd\tM\t1969\tmarried\t7 South Albany Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t379-490-3398\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5461\tMagda\tJames\tM\t1966\t\t37 South Mellette Street\t53500\tMagdeburg\t51892\tSachsen-Anhalt\t52732\t52776\t332-399-5213\tC: 50,000 - 69,999\t7000\tJames@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5479\tMarshal\tMansfield\tM\t1948\tsingle\t37 South Modoc Street\t60073\tKlang\t51732\tSelangor\t52738\t52769\t285-656-5072\tF: 110,000 - 129,999\t3000\tMansfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5480\tMarshall\tKahn\tM\t1975\t\t37 South Monmouth Street\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t256-659-2312\tB: 30,000 - 49,999\t1500\tKahn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5520\tMyreon\tRowls\tM\t1977\t\t37 South Nobles Street\t34427\tGalway City\t51571\tGalway\t52608\t52772\t202-301-7958\tF: 110,000 - 129,999\t7000\tRowls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5537\tOpal\tAaron\tM\t1969\tsingle\t37 South Okmulgee Street\t40245\tLake City\t51782\tSD\t52725\t52790\t529-668-5339\tL: 300,000 and above\t15000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5545\tOriole\tWiley\tF\t1978\tsingle\t37 South Oregon Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t565-758-2311\tD: 70,000 - 89,999\t3000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5553\tPatience\tLing\tM\t1973\t\t37 South Ottawa Street\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t334-649-7404\tF: 110,000 - 129,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5555\tPatricia\tCarr\tF\t1945\t\t37 South Oxford Street\t67042\tCranford\t51345\tNJ\t52670\t52790\t244-205-3180\tE: 90,000 - 109,999\t9000\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5562\tPearl\tLaycock\tF\t1959\tmarried\t37 South Page Street\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t418-716-1158\tK: 250,000 - 299,999\t7000\tLaycock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5571\tPetula\tLucy\tM\t1949\tsingle\t37 South Pasco Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t106-216-9181\tI: 170,000 - 189,999\t15000\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5579\tPoppy\tHamrick\tF\t1941\tsingle\t37 South Perkins Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t453-646-1553\tF: 110,000 - 129,999\t3000\tHamrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5581\tRuby\tEverley\tF\t1940\tmarried\t17 Mercer Court\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t561-783-6090\tF: 110,000 - 129,999\t5000\tEverley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5587\tRachel\tLowers\tF\t1966\t\t37 South Pike Street\t75603\tPalmdale\t52102\tFL\t52595\t52790\t333-478-6121\tE: 90,000 - 109,999\t7000\tLowers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5591\tRaina\tVaughn\tF\t1951\tmarried\t37 South Placer Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t210-273-7691\tB: 30,000 - 49,999\t1500\tVaughn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5605\tRandolph\tCrisp\tM\t1928\tmarried\t37 South Pottawatomie Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t404-368-3913\tA: Below 30,000\t3000\tCrisp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5611\tRay\tHammer\tM\t1964\tmarried\t37 South Pratt Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t672-596-7813\tF: 110,000 - 129,999\t1500\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5655\tRollo\tCrabtree\tM\t1960\tsingle\t37 South Rock Island Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t416-578-1809\tF: 110,000 - 129,999\t9000\tCrabtree@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5661\tRonald\tGeiss\tM\t1954\tmarried\t37 South Routt Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t519-548-3432\tE: 90,000 - 109,999\t5000\tGeiss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5676\tRoswald\tDahl\tM\t1930\tsingle\t37 South Saint Francis Street\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t230-491-4453\tB: 30,000 - 49,999\t1500\tDahl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5690\tRupert\tMulligan\tM\t1979\t\t37 South San Joaquin Street\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t688-777-3405\tF: 110,000 - 129,999\t10000\tMulligan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5693\tRutherford\tChang\tM\t1959\tsingle\t37 South San Miguel Street\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t350-405-2600\tG: 130,000 - 149,999\t3000\tChang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5719\tTasha\tRice\tF\t1961\tmarried\t37 South Shelby Street\t81973\tGolden's Bridge\t51586\tNY\t52679\t52790\t624-623-5950\tK: 250,000 - 299,999\t11000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5721\tTerrence\tRyan\tM\t1980\tmarried\t37 South Shenandoah Street\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t421-189-5479\tE: 90,000 - 109,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5734\tTheodorick\tEvans\tM\t1942\tmarried\t37 South Spokane Street\t36480\tMount Morris\t51926\tIL\t52619\t52790\t661-477-7184\tD: 70,000 - 89,999\t5000\tEvans@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5735\tTheodosia\tTien\tF\t1936\t\t37 South St. Lucia Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t224-347-8458\tC: 50,000 - 69,999\t9000\tTien@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5737\tTheodric\tFiggens\tM\t1946\t\t37 South St. Martin Street\t85145\tSchoonoord\t52299\tDrenthe\t52579\t52770\t390-401-8318\tC: 50,000 - 69,999\t3000\tFiggens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5748\tTilden\tRogers\tM\t1952\tmarried\t37 South Strafford Street\t39788\tNorth Bellmore\t51987\tNY\t52679\t52790\t313-276-1410\tE: 90,000 - 109,999\t5000\tRogers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5752\tTirrell\tMancini\tM\t1979\t\t37 South Summit Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t543-298-2630\tC: 50,000 - 69,999\t3000\tMancini@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5754\tTitus\tLauder\tM\t1948\tmarried\t37 South Sumter Street\t76331\tManresa\t51898\tBarcelona\t52560\t52778\t295-410-6599\tD: 70,000 - 89,999\t5000\tLauder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5765\tTorrey\tDunhill\tM\t1944\tsingle\t37 South Tallapoosa Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t331-182-2435\tD: 70,000 - 89,999\t3000\tDunhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5771\tTravis\tLucca\tM\t1961\tmarried\t37 South Technology Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t633-312-7301\tL: 300,000 and above\t9000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5793\tUlrick\tHammill\tM\t1973\tsingle\t37 South Trinity Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t450-173-7039\tI: 170,000 - 189,999\t3000\tHammill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5795\tUna\tLinden\tM\t1972\tmarried\t37 South Trumbull Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t393-533-3062\tF: 110,000 - 129,999\t5000\tLinden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5801\tUrian\tBarajas\tM\t1955\tmarried\t37 South Ulster Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t535-527-6070\tF: 110,000 - 129,999\t5000\tBarajas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5807\tVale\tKing\tF\t1952\tsingle\t37 South Utah Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t634-415-3294\tI: 170,000 - 189,999\t7000\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5811\tValeriana\tGrailing\tF\t1936\tmarried\t37 South Vegas Street\t81319\tBarre\t51165\tMA\t52649\t52790\t219-382-3286\tE: 90,000 - 109,999\t1500\tGrailing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5812\tValerie\tGravel\tF\t1962\tsingle\t37 South Vernon Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t559-467-3388\tF: 110,000 - 129,999\t3000\tGravel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5814\tTaffy\tSaintclair\tM\t1945\tmarried\t17 Montague Court\t52602\tBlountstown\t51200\tFL\t52595\t52790\t252-562-6190\tF: 110,000 - 129,999\t1500\tSaintclair@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5842\tWinona\tRodrick\tM\t1948\tsingle\t37 South Weber Street\t85407\tKenmare\t51723\tKerry\t52637\t52772\t201-497-9013\tI: 170,000 - 189,999\t11000\tRodrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5851\tWorth\tRosenblum\tM\t1967\tmarried\t37 South Whipple Street\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t281-262-8966\tB: 30,000 - 49,999\t1500\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5858\tTammy\tCummins\tM\t1944\tsingle\t17 Montour Court\t77306\tBerkley\t51182\tIA\t52618\t52790\t361-339-3572\tF: 110,000 - 129,999\t9000\tCummins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5864\tXylon\tGrier\tM\t1972\tmarried\t37 South Windy City Street\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t270-534-1444\tF: 110,000 - 129,999\t1500\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5886\tZillah\tKnalls\tF\t1963\t\t37 South Yolo Street\t67272\tCloverdale\t51334\tCA\t52567\t52790\t590-333-8751\tF: 110,000 - 129,999\t7000\tKnalls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5889\tZylia\tLegard\tF\t1961\t\t37 South Yuba Street\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t399-321-5637\tJ: 190,000 - 249,999\t15000\tLegard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5902\tAnand\tDuval\tM\t1960\tsingle\t47 Aiken Road\t47996\tOran\t52035\tMO\t52657\t52790\t431-523-6158\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5939\tBecky\tGerman\tF\t1944\tsingle\t47 Automobile Road\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t513-264-2524\tF: 110,000 - 129,999\t3000\tGerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5940\tBee\tHamilton\tF\t1978\t\t47 Avoyelles Road\t43919\tBacknang\t51152\tBaden-Wuerttemberg\t52559\t52776\t301-451-2592\tG: 130,000 - 149,999\t7000\tHamilton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5944\tBenita\tWhitehead\tF\t1948\tmarried\t47 Baltimore City Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t200-789-2823\tF: 110,000 - 129,999\t1500\tWhitehead@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5953\tBessie\tBarry\tF\t1951\tsingle\t47 Bath Road\t48346\tNoma\t51985\tFL\t52595\t52790\t417-297-5287\tI: 170,000 - 189,999\t7000\tBarry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5965\tBlaine\tFernandez\tM\t1982\tsingle\t47 Beaver Road\t63507\tErding\t51454\tBayern\t52561\t52776\t205-109-4464\tH: 150,000 - 169,999\t3000\tFernandez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5971\tBlythe\tOddell\tM\t1974\tmarried\t47 Belmont Road\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t434-454-8236\tE: 90,000 - 109,999\t1500\tOddell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5983\tBrady\tLadd\tM\t1949\t\t47 Big Horn Road\t56047\tAccomac\t51044\tVA\t52751\t52790\t188-660-8196\tG: 130,000 - 149,999\t15000\tLadd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5984\tBrand\tKelleher\tM\t1978\tmarried\t47 Bingham Road\t56047\tAccomac\t51044\tVA\t52751\t52790\t436-242-8700\tF: 110,000 - 129,999\t1500\tKelleher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5986\tBrant\tCole\tM\t1955\t\t47 Black Hawk Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t462-265-1296\tE: 90,000 - 109,999\t7000\tCole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5990\tBrenna\tResnick\tF\t1966\tmarried\t47 Blount Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t626-536-4859\tA: Below 30,000\t1500\tResnick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5996\tBruce\tIngersoll\tM\t1917\t\t47 Bossier Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t697-180-9974\tA: Below 30,000\t1500\tIngersoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6003\tThacher\tRudder\tM\t1958\t\t17 Muskingum Court\t39914\tSan Francisco\t52289\tCA\t52567\t52790\t256-152-9340\tJ: 190,000 - 249,999\t15000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6004\tBuick\tAustin\tM\t1950\t\t47 Boyd Road\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t141-233-4735\tB: 30,000 - 49,999\t1500\tAustin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6021\tCara\tBaltimore\tF\t1932\tmarried\t47 Bucks Road\t52602\tBlountstown\t51200\tFL\t52595\t52790\t396-655-4626\tD: 70,000 - 89,999\t5000\tBaltimore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6029\tCarter\tFepoi\tM\t1969\tsingle\t47 Butler Road\t57339\tAuckland\t51081\tAuckland\t52549\t52785\t554-122-4946\tI: 170,000 - 189,999\t9000\tFepoi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6051\tDelora\tWalker\tF\t1951\tmarried\t47 Carson Road\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t637-618-5384\tG: 130,000 - 149,999\t1500\tWalker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6069\tTheodora\tLinks\tF\t1954\t\t17 Natchitoches Court\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t208-782-5215\tC: 50,000 - 69,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6087\tEphraim\tHartzog\tM\t1949\tmarried\t47 Clarion Road\t40696\tAtwood\t51079\tKS\t52630\t52790\t425-707-6645\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6103\tFillmore\tPatrick\tM\t1953\tsingle\t47 Coleman Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t561-486-8838\tI: 170,000 - 189,999\t10000\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6106\tFloyd\tHaley\tM\t1944\t\t47 Columbia Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t131-633-6045\tE: 90,000 - 109,999\t7000\tHaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6111\tFrancis\tWolf\tF\t1962\tsingle\t47 Coos Road\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t189-532-3141\tJ: 190,000 - 249,999\t11000\tWolf@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6117\tFranklin\tGraham\tM\t1970\tsingle\t47 Covington Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t288-226-8419\tK: 250,000 - 299,999\t15000\tGraham@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6126\tGalen\tKaden\tM\t1987\tsingle\t47 Cupertino Road\t37631\tCandler\t51310\tFL\t52595\t52790\t332-116-3490\tI: 170,000 - 189,999\t3000\tKaden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6132\tGary\tAlden\tM\t1981\tsingle\t47 Dallas Road\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t271-746-1949\tD: 70,000 - 89,999\t3000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6133\tGaston\tLuo\tM\t1950\tsingle\t47 Dare Road\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t386-732-6614\tH: 150,000 - 169,999\t7000\tLuo@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6136\tTherese\tJeffreys\tF\t1967\t\t17 Newaygo Court\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t402-507-5490\tF: 110,000 - 129,999\t10000\tJeffreys@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6144\tGilbert\tLitefoote\tM\t1971\tmarried\t47 Decatur Road\t91436\tErlangen\t51456\tBayern\t52561\t52776\t285-799-7740\tE: 90,000 - 109,999\t1500\tLitefoote@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6155\tGlenna\tBaker\tF\t1945\tsingle\t47 Dickinson Road\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t197-360-9401\tF: 110,000 - 129,999\t9000\tBaker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6166\tGriffith\tLefevre\tM\t1963\t\t47 Doniphan Road\t56851\tBeemster\t51174\tNoord-Holland\t52683\t52770\t258-117-5759\tF: 110,000 - 129,999\t7000\tLefevre@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6175\tGwendolyn\tLawson\tM\t1983\tsingle\t47 Dunn Road\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t651-358-5013\tI: 170,000 - 189,999\t9000\tLawson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6215\tHilda\tBarrett\tF\t1966\tmarried\t47 Fresno Road\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t614-761-9661\tL: 300,000 and above\t11000\tBarrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6259\tJamilah\tKoch\tF\t1929\tsingle\t47 Gwinnett Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t236-675-8171\tA: Below 30,000\t1500\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6266\tLeandra\tCarr\tM\t1956\t\t47 Hardee Road\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t146-339-6550\tF: 110,000 - 129,999\t7000\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6267\tLenora\tLillis\tF\t1954\tsingle\t47 Hardin Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t594-187-7428\tH: 150,000 - 169,999\t5000\tLillis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6279\tLetty\tParkburg\tM\t1957\t\t47 Hendricks Road\t75603\tPalmdale\t52102\tFL\t52595\t52790\t435-498-4147\tF: 110,000 - 129,999\t7000\tParkburg@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6302\tTobey\tGreeley\tM\t1939\t\t17 Ohio Court\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t651-606-6201\tF: 110,000 - 129,999\t7000\tGreeley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6303\tLolita\tBarkley\tF\t1935\t\t47 Howell Road\t33396\tSchwerin\t52302\tMecklenburg-Vorpommern\t52662\t52776\t621-200-3372\tE: 90,000 - 109,999\t10000\tBarkley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6313\tTobias\tKrebs\tM\t1943\tmarried\t17 Okanogan Court\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t461-322-1968\tF: 110,000 - 129,999\t5000\tKrebs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6314\tLouise\tOakfield\tM\t1956\tmarried\t47 Information Road\t75566\tPotsdam\t52112\tBrandenburg\t52563\t52776\t314-668-6321\tL: 300,000 and above\t7000\tOakfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6325\tLuna\tBuckett\tF\t1949\tsingle\t47 Izard Road\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t474-376-2276\tI: 170,000 - 189,999\t5000\tBuckett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6330\tLyndon\tRosser\tM\t1949\tmarried\t47 Johnson Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t583-649-2084\tF: 110,000 - 129,999\t1500\tRosser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6331\tLynn\tKendall\tM\t1946\tsingle\t47 Johnston Road\t83335\tPurmerend\t52115\tNoord-Holland\t52683\t52770\t660-632-7149\tG: 130,000 - 149,999\t5000\tKendall@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6352\tMalcom\tChalmers\tM\t1971\tsingle\t47 Kiowa Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t628-302-9556\tG: 130,000 - 149,999\t3000\tChalmers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6353\tMallory\tBaer\tM\t1953\t\t47 Kit Carson Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t551-735-5998\tE: 90,000 - 109,999\t7000\tBaer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6363\tMarcella\tKipp\tM\t1962\tsingle\t47 La Porte Road\t35085\tRock Creek\t52169\tOH\t52688\t52790\t119-199-7250\tI: 170,000 - 189,999\t10000\tKipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6381\tMaynard\tBarone\tM\t1961\tmarried\t47 Las Vegas Road\t91105\tForest Heights\t51511\tMD\t52652\t52790\t569-154-2445\tC: 50,000 - 69,999\t5000\tBarone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6390\tMilton\tHandsome\tM\t1975\tmarried\t47 Lehigh Road\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t618-250-1922\tF: 110,000 - 129,999\t1500\tHandsome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6400\tMorris\tMulligan\tM\t1945\tmarried\t47 Litchfield Road\t90953\tHolyrood\t51667\tKS\t52630\t52790\t224-693-5925\tD: 70,000 - 89,999\t5000\tMulligan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6407\tMurry\tSalem\tM\t1951\tmarried\t47 Los Robles Road\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t566-468-3943\tE: 90,000 - 109,999\t5000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6411\tNolita\tMulholland\tF\t1983\tsingle\t47 Luquillo Road\t77915\tFlorianopolis\t51507\tSanta Catarina\t52734\t52775\t372-510-1961\tF: 110,000 - 129,999\t3000\tMulholland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6423\tOna\tDally\tM\t1976\tmarried\t47 Major Road\t82654\tBonn\t51207\tNordrhein-Westfalen\t52684\t52776\t235-241-4240\tJ: 190,000 - 249,999\t9000\tDally@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6432\tOrilla\tPlayer\tF\t1959\t\t47 Marion Road\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t105-578-7461\tF: 110,000 - 129,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6441\tPatience\tRobey\tM\t1962\tsingle\t47 Mayaguez Road\t34216\tMurnau\t51934\tBayern\t52561\t52776\t532-604-2333\tF: 110,000 - 129,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6457\tPeter\tThompson\tM\t1949\tsingle\t47 Medina Road\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t450-172-8435\tH: 150,000 - 169,999\t3000\tThompson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6458\tTravis\tLucca\tM\t1960\tsingle\t17 Oswego Court\t63736\tKillarney\t51728\tKerry\t52637\t52772\t584-420-4193\tL: 300,000 and above\t11000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6471\tPrimrose\tHandkins\tM\t1951\tmarried\t47 Mills Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t384-439-2667\tG: 130,000 - 149,999\t1500\tHandkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6481\tRaleigh\tKatz\tM\t1966\tmarried\t47 Mono Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t238-411-5422\tA: Below 30,000\t1500\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6487\tRamsay\tBarbee\tM\t1978\tsingle\t47 Montgomery Road\t75917\tMolino\t51917\tFL\t52595\t52790\t506-725-6447\tH: 150,000 - 169,999\t5000\tBarbee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6495\tRanier\tClipp\tM\t1961\tsingle\t47 Morovis Road\t88252\tCrownpoint\t51346\tIN\t52621\t52790\t408-261-2655\tG: 130,000 - 149,999\t9000\tClipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6497\tRaphaela\tBradley\tM\t1968\tmarried\t47 Morrow Road\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t279-721-6470\tF: 110,000 - 129,999\t1500\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6501\tRaymond\tVale\tM\t1938\tsingle\t47 Mountain View Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t414-310-6138\tF: 110,000 - 129,999\t9000\tVale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6515\tRenfred\tJohnson\tM\t1951\tsingle\t47 New York Road\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t558-332-6473\tI: 170,000 - 189,999\t9000\tJohnson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6550\tRonni\tDaily\tM\t1970\tmarried\t47 Otoe Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t526-197-6578\tE: 90,000 - 109,999\t1500\tDaily@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6552\tRosalie\tRodrick\tF\t1942\t\t47 Ottawa Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t595-703-7198\tF: 110,000 - 129,999\t7000\tRodrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6554\tRosamond\tGerber\tF\t1947\t\t47 Oxford Road\t87082\tEmden\t51450\tNiedersachsen\t52681\t52776\t399-402-1441\tE: 90,000 - 109,999\t9000\tGerber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6563\tRosetta\tRosenblum\tF\t1973\tsingle\t47 Palm Beach Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t305-609-8560\tI: 170,000 - 189,999\t9000\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6576\tRue\tGrier\tM\t1942\t\t47 Pembina Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t562-461-7446\tE: 90,000 - 109,999\t9000\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6587\tSadie\tHanrahan\tM\t1962\t\t47 Pike Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t166-306-1124\tE: 90,000 - 109,999\t7000\tHanrahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6590\tSalisbury\tWelsh\tF\t1949\t\t47 Pittsylvania Road\t79119\tKerkrade\t51726\tLimburg\t52646\t52770\t689-467-5447\tF: 110,000 - 129,999\t10000\tWelsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6597\tTalia\tKlebe\tF\t1950\tsingle\t47 Polk Road\t47996\tOran\t52035\tMO\t52657\t52790\t686-448-1467\tH: 150,000 - 169,999\t10000\tKlebe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6602\tTanya\tParks\tF\t1963\tmarried\t47 Porter Road\t70457\tNorman\t51986\tOK\t52689\t52790\t507-671-8204\tK: 250,000 - 299,999\t11000\tParks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6609\tTeresa\tMaine\tF\t1944\tsingle\t47 Poweshiek Road\t65320\tPuako\t52113\tHI\t52615\t52790\t537-397-1554\tF: 110,000 - 129,999\t9000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6642\tTitania\tEssex\tF\t1938\tsingle\t47 Rice Road\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t115-534-1313\tF: 110,000 - 129,999\t9000\tEssex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6697\tValentina\tGottlieb\tF\t1949\tsingle\t47 Sangamon Road\t50509\tReichelsheim\t52161\tHessen\t52617\t52776\t698-737-8648\tI: 170,000 - 189,999\t15000\tGottlieb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6717\tViolet\tAlexander\tF\t1949\t\t47 Shawano Road\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t637-264-8118\tF: 110,000 - 129,999\t10000\tAlexander@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6723\tWilhelmina\tLassiter\tM\t1923\t\t47 Sheridan Road\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t214-621-5798\tB: 30,000 - 49,999\t1500\tLassiter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6727\tWilmet\tLickey\tM\t1961\t\t47 Siskiyou Road\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t548-343-2467\tD: 70,000 - 89,999\t7000\tLickey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6730\tWinni\tMurray\tM\t1946\t\t47 Snyder Road\t53086\tSan Mateo\t52290\tCA\t52567\t52790\t604-560-4625\tE: 90,000 - 109,999\t10000\tMurray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6740\tWorth\tFepoi\tM\t1975\t\t47 Stark Road\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t491-493-8761\tB: 30,000 - 49,999\t1500\tFepoi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6745\tWyman\tTazelar\tM\t1946\tsingle\t47 Stone Road\t57790\tKerkdriel\t51725\tGelderland\t52610\t52770\t666-423-1131\tF: 110,000 - 129,999\t3000\tTazelar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6750\tXaver\tDutton\tM\t1963\tsingle\t47 Suffolk Road\t80563\tDiemen\t51387\tNoord-Holland\t52683\t52770\t501-246-8843\tH: 150,000 - 169,999\t10000\tDutton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6758\tUrian\tBarajas\tM\t1941\tsingle\t17 Perkins Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t244-646-3364\tF: 110,000 - 129,999\t3000\tBarajas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6775\tZillah\tIreland\tF\t1960\tsingle\t47 Teton Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t261-222-5701\tF: 110,000 - 129,999\t9000\tIreland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6781\tUwe\tManning\tM\t1982\tmarried\t17 Phelps Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t111-436-2011\tG: 130,000 - 149,999\t5000\tManning@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6782\tAbel\tWalsh\tM\t1951\tmarried\t47 Tioga Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t168-233-8162\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6802\tAshley\tRush\tF\t1982\tsingle\t47 Union Road\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t674-752-5224\tF: 110,000 - 129,999\t9000\tRush@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6819\tBarney\tKeiner\tM\t1950\tsingle\t47 Villalba Road\t60635\tCentral City\t51321\tIA\t52618\t52790\t636-790-5777\tH: 150,000 - 169,999\t3000\tKeiner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6833\tBenita\tBarker\tF\t1942\t\t47 Warren Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t277-631-5359\tF: 110,000 - 129,999\t7000\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6835\tBernard\tLazar\tM\t1948\tsingle\t47 Wasco Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t530-381-7728\tF: 110,000 - 129,999\t9000\tLazar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6846\tBetty\tSmeed\tF\t1964\t\t47 Wetland Road\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t171-566-6710\tC: 50,000 - 69,999\t7000\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6847\tValeria\tTyler\tF\t1970\tsingle\t17 Pima Court\t72409\tOosterhout\t52033\tNoord-Brabant\t52682\t52770\t579-626-3447\tH: 150,000 - 169,999\t5000\tTyler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6852\tBillie\tDowney\tM\t1934\t\t47 White Road\t85268\tWellington\t52503\tWellington\t52766\t52785\t306-313-4534\tE: 90,000 - 109,999\t3000\tDowney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6862\tBob\tMacdonald\tM\t1959\t\t47 Windham Road\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t448-708-4266\tC: 50,000 - 69,999\t9000\tMacdonald@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6873\tBrand\tZanth\tM\t1947\t\t47 Wright Road\t72740\tToxey\t52377\tAL\t52534\t52790\t225-378-5753\tF: 110,000 - 129,999\t7000\tZanth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6881\tBrett\tKindrid\tM\t1978\tsingle\t47 Yankton Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t614-486-4860\tI: 170,000 - 189,999\t5000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6899\tCalandra\tLu\tM\t1956\tsingle\t47 East Adams Road\t41616\tRuinen\t52177\tDrenthe\t52579\t52770\t550-494-8150\tI: 170,000 - 189,999\t3000\tLu@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6907\tCandice\tBartlett\tM\t1953\t\t47 East Alameda Road\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t337-441-2439\tJ: 190,000 - 249,999\t9000\tBartlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6914\tVania\tLesley\tF\t1945\tmarried\t17 Pocahontas Court\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t647-178-1491\tE: 90,000 - 109,999\t5000\tLesley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6937\tDelia\tLittleton\tF\t1960\t\t47 East Augusta Road\t90135\tBad Neustadt\t51155\tBayern\t52561\t52776\t160-344-4367\tC: 50,000 - 69,999\t3000\tLittleton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6942\tDeloris\tRowls\tF\t1982\tsingle\t47 East Bacon Road\t75824\tRhineland\t52165\tMO\t52657\t52790\t672-366-8685\tF: 110,000 - 129,999\t9000\tRowls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6943\tDemetria\tFilbert\tM\t1945\t\t47 East Baltimore Road\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t266-657-1805\tE: 90,000 - 109,999\t10000\tFilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6964\tDorcas\tNenninger\tF\t1978\tmarried\t47 East Bear Lake Road\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t451-373-7986\tF: 110,000 - 129,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6997\tFlorence\tBrooks\tF\t1951\tmarried\t47 East Boston Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t660-213-9246\tF: 110,000 - 129,999\t1500\tBrooks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7011\tGabriel\tBarber\tF\t1962\tmarried\t47 East Brevard Road\t82034\tWaycross\t52499\tGE\t52604\t52790\t556-590-9737\tD: 70,000 - 89,999\t1500\tBarber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7030\tGerhard\tWiser\tM\t1964\tsingle\t47 East Butte Road\t43496\tCap d'Antibes, Le\t51313\tProvence-Alpes-Cote d'Azur\t52701\t52779\t356-709-3028\tI: 170,000 - 189,999\t10000\tWiser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7056\tGrover\tWiseman\tM\t1963\t\t47 East Caswell Road\t51080\tStein\t52325\tLimburg\t52646\t52770\t618-689-8525\tB: 30,000 - 49,999\t1500\tWiseman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7061\tGuthrey\tYates\tM\t1950\tmarried\t47 East Cayey Road\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t631-733-6021\tA: Below 30,000\t1500\tYates@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7063\tGwen\tChalmers\tM\t1958\t\t47 East Ceiba Road\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t381-800-9916\tE: 90,000 - 109,999\t10000\tChalmers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7066\tGwynne\tGreenley\tM\t1951\tsingle\t47 East Charleston Road\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t224-686-8277\tH: 150,000 - 169,999\t7000\tGreenley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7073\tHannah\tLee\tF\t1923\t\t47 East Cheshire Road\t91105\tForest Heights\t51511\tMD\t52652\t52790\t566-645-4235\tB: 30,000 - 49,999\t1500\tLee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7076\tHarold\tCox\tM\t1965\tsingle\t47 East Cheyenne Road\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t320-684-7343\tH: 150,000 - 169,999\t10000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7082\tHarvey\tFairman\tM\t1981\t\t47 East Choctaw Road\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t192-757-6808\tE: 90,000 - 109,999\t9000\tFairman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7091\tWilhelmina\tOwens\tM\t1978\tsingle\t17 Preble Court\t78618\tBerea\t51180\tKY\t52632\t52790\t278-251-5876\tB: 30,000 - 49,999\t3000\tOwens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7092\tHelen\tBarone\tF\t1964\tmarried\t47 East Clayton Road\t90953\tHolyrood\t51667\tKS\t52630\t52790\t365-668-5620\tL: 300,000 and above\t11000\tBarone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7099\tHerman\tStockman\tM\t1961\t\t47 East Coffee Road\t45704\tMackville\t51890\tKY\t52632\t52790\t486-338-2582\tF: 110,000 - 129,999\t7000\tStockman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7110\tHolmes\tNance\tM\t1970\tmarried\t47 East Cook Road\t54725\tBochum\t51202\tNordrhein-Westfalen\t52684\t52776\t133-205-3623\tE: 90,000 - 109,999\t1500\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7133\tIna\tCummins\tF\t1961\tsingle\t47 East Dare Road\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t385-243-9850\tH: 150,000 - 169,999\t7000\tCummins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7152\tJoshie\tEdison\tM\t1984\tsingle\t47 East Desha Road\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t280-545-1281\tH: 150,000 - 169,999\t3000\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7153\tJuan\tRobey\tM\t1949\t\t47 East Dewey Road\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t506-148-4708\tG: 130,000 - 149,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7176\tLillian\tLauder\tF\t1953\t\t47 East Dutchess Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t373-433-2064\tC: 50,000 - 69,999\t3000\tLauder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7190\tLoleta\tWright\tF\t1981\tmarried\t47 East Etowah Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t522-473-1200\tF: 110,000 - 129,999\t1500\tWright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7207\tLucia\tWipple\tF\t1949\tmarried\t47 East Forrest Road\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t680-591-4637\tD: 70,000 - 89,999\t5000\tWipple@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7209\tLucinda\tGroup\tF\t1967\t\t47 East Foster City Road\t36230\tSao Paulo City\t52295\tSao Paulo\t52735\t52775\t175-635-7851\tD: 70,000 - 89,999\t10000\tGroup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7217\tLylybel\tLondon\tM\t1952\tmarried\t47 East Gage Road\t44931\tBad Homburg\t51153\tHessen\t52617\t52776\t590-567-9129\tE: 90,000 - 109,999\t1500\tLondon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7220\tLynn\tHardesty\tM\t1965\tmarried\t47 East Garfield Road\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t399-465-3765\tG: 130,000 - 149,999\t5000\tHardesty@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7222\tMabel\tBarajas\tF\t1955\t\t47 East Garvin Road\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t490-247-8748\tJ: 190,000 - 249,999\t15000\tBarajas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7223\tMackenzie\tKnox\tF\t1949\tmarried\t47 East Gaston Road\t67493\tFlint\t51506\tMI\t52654\t52790\t307-753-8726\tE: 90,000 - 109,999\t1500\tKnox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7248\tManvil\tBane\tM\t1953\tmarried\t47 East Greenwood Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t157-405-5558\tG: 130,000 - 149,999\t5000\tBane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7250\tMarc\tSaddler\tM\t1934\t\t47 East Grundy Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t495-231-7902\tD: 70,000 - 89,999\t10000\tSaddler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7253\tMarcus\tCowl\tM\t1938\t\t47 East Guaynabo Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t352-103-6229\tE: 90,000 - 109,999\t7000\tCowl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7273\tMerrell\tRosenblum\tM\t1960\t\t47 East Harrison Road\t34646\tGirona\t51582\tGirona\t52611\t52778\t587-261-3218\tG: 130,000 - 149,999\t7000\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7288\tMorley\tKillman\tM\t1968\tsingle\t47 East Hillside Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t376-463-9412\tH: 150,000 - 169,999\t9000\tKillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7310\tOliver\tTillman\tM\t1949\tmarried\t47 East Iberville Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t690-575-1261\tF: 110,000 - 129,999\t1500\tTillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7312\tOna\tParks\tM\t1958\t\t47 East Indiana Road\t46394\tPassau\t52104\tBayern\t52561\t52776\t646-779-6458\tJ: 190,000 - 249,999\t9000\tParks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7322\tOriole\tEppling\tF\t1934\t\t47 East Isle Of Road\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t549-128-3251\tD: 70,000 - 89,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7323\tOzelle\tDuval\tM\t1923\tmarried\t47 East Itasca Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t255-208-9550\tA: Below 30,000\t3000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7325\tPage\tAtkins\tM\t1951\tsingle\t47 East Izard Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t273-636-8198\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7332\tPatricia\tWhite\tF\t1953\t\t47 East Jones Road\t62980\tMalakoff\t51895\tIle-de-France\t52623\t52779\t375-402-3018\tE: 90,000 - 109,999\t7000\tWhite@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7335\tDione\tCummins\tF\t1965\t\t7 South Charleston Circle\t67843\tArbuckle\t51069\tCA\t52567\t52790\t640-179-7241\tH: 150,000 - 169,999\t7000\tCummins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7342\tPepita\tJanney\tM\t1922\tsingle\t47 East Kennebec Road\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t653-258-6179\tB: 30,000 - 49,999\t1500\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7344\tPersis\tJewell\tM\t1942\tmarried\t47 East Kent Road\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t326-277-9501\tD: 70,000 - 89,999\t1500\tJewell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7348\tPetula\tSagan\tM\t1954\tsingle\t47 East Ketchikan Gateway Road\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t250-173-3643\tI: 170,000 - 189,999\t5000\tSagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7385\tRansom\tLein\tM\t1989\t\t47 East Laurens Road\t73370\tLamar\t51785\tNE\t52666\t52790\t635-394-1884\tK: 250,000 - 299,999\t11000\tLein@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7400\tReginald\tLevi\tM\t1979\tmarried\t47 East Litchfield Road\t61852\tWoodstock\t52515\tMN\t52656\t52790\t269-244-4094\tD: 70,000 - 89,999\t5000\tLevi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7417\tRiva\tNary\tF\t1948\tmarried\t47 East Macon Road\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t259-362-1822\tC: 50,000 - 69,999\t1500\tNary@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7423\tRochelle\tWelch\tM\t1955\tmarried\t47 East Major Road\t59918\tCleveland\t51330\tWI\t52760\t52790\t325-354-5771\tJ: 190,000 - 249,999\t9000\tWelch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7425\tRoderica\tAustin\tM\t1960\tsingle\t47 East Manatee Road\t55526\tAlma\t51056\tAR\t52540\t52790\t317-336-6194\tL: 300,000 and above\t11000\tAustin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7427\tRodney\tAlexander\tM\t1954\tmarried\t47 East Marathon Road\t55526\tAlma\t51056\tAR\t52540\t52790\t544-722-1418\tG: 130,000 - 149,999\t5000\tAlexander@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7443\tRosamond\tColven\tF\t1943\tmarried\t47 East Mccone Road\t62619\tWinter Springs\t52512\tFL\t52595\t52790\t155-278-2463\tE: 90,000 - 109,999\t1500\tColven@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7452\tRoss\tYoung\tM\t1946\tsingle\t47 East Mclean Road\t47283\tOpp\t52034\tAL\t52534\t52790\t463-476-1433\tG: 130,000 - 149,999\t5000\tYoung@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7458\tYvette\tSager\tM\t1945\tsingle\t17 Riverside Court\t86870\tLudwigshafen\t51810\tRheinland-Pfalz\t52710\t52776\t293-342-9068\tG: 130,000 - 149,999\t11000\tSager@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7471\tRyan\tFairfax\tM\t1982\tmarried\t47 East Mills Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t143-266-6324\tG: 130,000 - 149,999\t1500\tFairfax@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7473\tSabrina\tWalker\tF\t1957\tsingle\t47 East Miner Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t575-435-4750\tI: 170,000 - 189,999\t7000\tWalker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7482\tSammy\tStokley\tF\t1934\t\t47 East Monongalia Road\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t128-720-7167\tE: 90,000 - 109,999\t9000\tStokley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7485\tTalia\tKirk\tF\t1951\tsingle\t47 East Montcalm Road\t74050\tGlennie\t51584\tMI\t52654\t52790\t312-449-3551\tH: 150,000 - 169,999\t3000\tKirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7500\tTesia\tLessman\tF\t1960\tmarried\t47 East Mountain Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t530-621-4925\tB: 30,000 - 49,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7513\tZandra\tBarron\tF\t1970\tmarried\t17 Robeson Court\t78247\tVelp\t52438\tGelderland\t52610\t52770\t191-635-3274\tD: 70,000 - 89,999\t5000\tBarron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7519\tThomas\tKish\tM\t1961\t\t47 East Nobles Road\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t382-751-5167\tF: 110,000 - 129,999\t7000\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7525\tTilden\tPatrick\tM\t1983\t\t47 East Oakland Road\t81733\tSainte-Croix-du-Mont\t52285\tAquitaine\t52548\t52779\t140-481-1403\tE: 90,000 - 109,999\t3000\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7546\tZebulon\tTrent\tM\t1963\tmarried\t17 Rooks Court\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t156-214-6508\tA: Below 30,000\t1500\tTrent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7552\tTricia\tLlyles\tF\t1959\t\t47 East Ottawa Road\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t223-222-9516\tF: 110,000 - 129,999\t7000\tLlyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7569\tZel\tYork\tM\t1983\tsingle\t17 Ross Court\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t316-403-3000\tL: 300,000 and above\t9000\tYork@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7571\tUlysses\tLuke\tM\t1961\tmarried\t47 East Passaic Road\t48486\tNorth Enid\t51991\tOK\t52689\t52790\t359-257-7960\tC: 50,000 - 69,999\t1500\tLuke@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7574\tUpton\tGray\tM\t1951\tmarried\t47 East Payne Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t341-119-6003\tG: 130,000 - 149,999\t5000\tGray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7576\tUrania\tGoode\tF\t1942\t\t47 East Pemiscot Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t162-655-1603\tD: 70,000 - 89,999\t10000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7597\tVelma\tLawson\tF\t1953\tmarried\t47 East Ponce Road\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t146-311-1273\tG: 130,000 - 149,999\t1500\tLawson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7598\tVerna\tJackson\tF\t1953\tsingle\t47 East Pontotoc Road\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t594-447-1993\tH: 150,000 - 169,999\t3000\tJackson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7604\tViola\tJohn\tF\t1923\tmarried\t47 East Pottawatomie Road\t82985\tHeywood\t51660\tEngland - Greater Manchester\t52590\t52789\t525-608-6204\tA: Below 30,000\t3000\tJohn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7610\tWileen\tGibb\tM\t1981\tmarried\t47 East Pratt Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t435-631-4422\tF: 110,000 - 129,999\t1500\tGibb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7612\tWilla\tKahn\tF\t1954\t\t47 East Prentiss Road\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t539-381-6959\tF: 110,000 - 129,999\t7000\tKahn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7618\tWinni\tMumm\tM\t1940\t\t47 East Providence Road\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t541-290-7373\tE: 90,000 - 109,999\t3000\tMumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7620\tWinston\tFerrin\tM\t1952\tmarried\t47 East Pulaski Road\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t607-605-7787\tC: 50,000 - 69,999\t5000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7625\tWoodrow\tLengel\tM\t1936\t\t47 East Racine Road\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t374-456-3087\tC: 50,000 - 69,999\t3000\tLengel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7627\tWorden\tBrown\tM\t1951\tmarried\t47 East Ralston Road\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t191-320-5842\tF: 110,000 - 129,999\t5000\tBrown@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7635\tZuri\tTillman\tM\t1948\t\t17 Rutherford Court\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t560-643-9930\tE: 90,000 - 109,999\t7000\tTillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7638\tXaver\tFerris\tM\t1968\tsingle\t47 East Rensselaer Road\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t294-295-3487\tH: 150,000 - 169,999\t3000\tFerris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7644\tYola\tJoseph\tF\t1980\tsingle\t47 East Riley Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t314-784-7895\tF: 110,000 - 129,999\t3000\tJoseph@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7656\tZebulon\tPerez\tM\t1926\tmarried\t47 East Rooks Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t519-105-1583\tA: Below 30,000\t3000\tPerez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7664\tZoe\tIsaacs\tM\t1985\tsingle\t47 East Rusk Road\t49528\tMumbai Bombay\t51932\tMaharashtra\t52660\t52771\t367-428-5536\tG: 130,000 - 149,999\t3000\tIsaacs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7671\tAbel\tAaron\tM\t1928\t\t47 East Sacramento Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t536-469-7806\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7709\tBarrett\tBrooks\tM\t1967\tsingle\t47 East Scioto Road\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t377-559-2895\tG: 130,000 - 149,999\t9000\tBrooks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7741\tBillie\tWiser\tM\t1970\tmarried\t47 East Starr Road\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t542-676-1698\tE: 90,000 - 109,999\t5000\tWiser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7747\tAngie\tLauderdale\tF\t1951\tmarried\t17 Saint Louis Court\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t423-455-4908\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7749\tBlythe\tLamm\tM\t1937\t\t47 East Stratford Road\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t543-281-9020\tE: 90,000 - 109,999\t9000\tLamm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7768\tBrenna\tLeary\tF\t1969\tsingle\t47 East Tate Road\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t484-234-2291\tA: Below 30,000\t1500\tLeary@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7793\tCamilla\tOsgode\tF\t1961\tsingle\t47 East Trinity Road\t45704\tMackville\t51890\tKY\t52632\t52790\t118-327-8411\tI: 170,000 - 189,999\t3000\tOsgode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7811\tChadwick\tStockman\tM\t1970\tmarried\t47 East Vegas Road\t36480\tMount Morris\t51926\tIL\t52619\t52790\t360-630-1921\tE: 90,000 - 109,999\t1500\tStockman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7820\tDebbie\tSullivan\tF\t1958\t\t47 East Vinton Road\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t366-110-6163\tG: 130,000 - 149,999\t7000\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7860\tEmmet\tKotzman\tM\t1978\t\t47 East Williams Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t625-757-4283\tE: 90,000 - 109,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7869\tArthur\tPoe\tM\t1979\t\t17 San Joaquin Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t660-777-6429\tF: 110,000 - 129,999\t10000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7884\tFloyd\tMalone\tM\t1939\tmarried\t47 East Yell Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t595-685-7847\tE: 90,000 - 109,999\t1500\tMalone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7897\tFreddy\tOrm\tM\t1968\t\t47 West Accomack Road\t66692\tHonomu\t51668\tHI\t52615\t52790\t370-458-8694\tG: 130,000 - 149,999\t10000\tOrm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7909\tGarth\tKruger\tM\t1973\t\t47 West Albemarle Road\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t110-735-2371\tE: 90,000 - 109,999\t9000\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7921\tGideon\tGroup\tM\t1966\tsingle\t47 West Angelina Road\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t689-626-2605\tH: 150,000 - 169,999\t5000\tGroup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7932\tGlenn\tHardesty\tM\t1960\tsingle\t47 West Atchison Road\t61189\tEvinston\t51459\tFL\t52595\t52790\t615-375-4838\tH: 150,000 - 169,999\t3000\tHardesty@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7947\tAzalea\tJanney\tM\t1938\tmarried\t17 Sanilac Court\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t664-103-1674\tE: 90,000 - 109,999\t1500\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7952\tGwen\tGilroy\tM\t1982\t\t47 West Bartow Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t338-521-2135\tE: 90,000 - 109,999\t3000\tGilroy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7956\tHal\tSmyth\tM\t1929\t\t47 West Bayamon Road\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t588-693-1119\tD: 70,000 - 89,999\t15000\tSmyth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7965\tHarold\tHaole\tM\t1962\tsingle\t47 West Beaver Road\t34646\tGirona\t51582\tGirona\t52611\t52778\t509-514-2482\tH: 150,000 - 169,999\t3000\tHaole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7968\tHarrison\tKotch\tM\t1944\tsingle\t47 West Bee Road\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t458-473-2984\tF: 110,000 - 129,999\t9000\tKotch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7970\tHarry\tRohrback\tM\t1976\t\t47 West Bell Road\t86539\tPlains\t52111\tMT\t52659\t52790\t616-240-7380\tE: 90,000 - 109,999\t10000\tRohrback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7974\tHaywood\tWade\tM\t1939\tmarried\t47 West Benton Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t249-762-1713\tC: 50,000 - 69,999\t5000\tWade@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7982\tHelena\tGlad\tF\t1963\tsingle\t47 West Bienville Road\t47996\tOran\t52035\tMO\t52657\t52790\t387-342-8140\tG: 130,000 - 149,999\t9000\tGlad@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7988\tHerman\tKidwell\tM\t1966\tsingle\t47 West Blaine Road\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t549-578-2395\tF: 110,000 - 129,999\t9000\tKidwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7993\tHilda\tMurphy\tF\t1959\t\t47 West Bolivar Road\t73216\tFrederick\t51519\tCO\t52569\t52790\t697-403-9963\tL: 300,000 and above\t9000\tMurphy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8002\tDonna\tSadworth\tF\t1939\t\t7 South Cheshire Circle\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t209-457-6445\tB: 30,000 - 49,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8011\tHugo\tOrson\tM\t1945\tmarried\t47 West Brevard Road\t46394\tPassau\t52104\tBayern\t52561\t52776\t596-455-7353\tD: 70,000 - 89,999\t1500\tOrson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8013\tHyman\tTrent\tM\t1952\tsingle\t47 West Britnay Road\t37161\tMulhouse\t51930\tAlsace\t52546\t52779\t250-172-4644\tH: 150,000 - 169,999\t7000\tTrent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8018\tIdona\tChambliss\tF\t1956\tmarried\t47 West Brown Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t396-181-2935\tJ: 190,000 - 249,999\t9000\tChambliss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8020\tImogen\tKnalls\tM\t1937\t\t47 West Bryan Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t515-502-9028\tE: 90,000 - 109,999\t7000\tKnalls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8037\tJamilah\tAtkins\tF\t1962\t\t47 West Caldwell Road\t79359\tLindau\t51798\tBayern\t52561\t52776\t640-411-9084\tA: Below 30,000\t1500\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8039\tJonathan\tWolsey\tM\t1940\t\t47 West California Road\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t309-369-8521\tE: 90,000 - 109,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8062\tLiane\tWilmoth\tF\t1979\t\t47 West Cedar Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t465-759-1945\tC: 50,000 - 69,999\t9000\tWilmoth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8068\tLindsay\tBarlow\tF\t1942\t\t47 West Chelsea Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t357-347-7193\tC: 50,000 - 69,999\t9000\tBarlow@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8070\tLinette\tHardy\tF\t1976\t\t47 West Chenango Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t164-401-5158\tC: 50,000 - 69,999\t3000\tHardy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8073\tLise\tHamilton\tF\t1969\t\t47 West Cheshire Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t455-130-2434\tB: 30,000 - 49,999\t1500\tHamilton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8116\tMacy\tLittlefield\tF\t1948\tsingle\t47 West Coshocton Road\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t323-207-1930\tG: 130,000 - 149,999\t11000\tLittlefield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8128\tMaggie\tCain\tF\t1953\tmarried\t47 West Curry Road\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t361-533-4995\tF: 110,000 - 129,999\t5000\tCain@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8141\tMarcella\tGentle\tM\t1978\tsingle\t47 West De Las Pul Ges Road\t44665\tOberammergau\t52029\tBayern\t52561\t52776\t285-202-9275\tI: 170,000 - 189,999\t5000\tGentle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8151\tMarwin\tLloyd\tM\t1949\tmarried\t47 West Deschutes Road\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t312-161-1256\tF: 110,000 - 129,999\t1500\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8183\tMurdock\tVickers\tM\t1959\t\t47 West Ellis Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t306-719-4136\tF: 110,000 - 129,999\t10000\tVickers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8186\tMyreon\tEaton\tM\t1949\t\t47 West Emerson Road\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t467-418-1752\tF: 110,000 - 129,999\t7000\tEaton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8195\tNason\tMarkerman\tM\t1933\t\t47 West Falls Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t145-362-7383\tC: 50,000 - 69,999\t9000\tMarkerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8208\tOriena\tKitchens\tF\t1946\t\t47 West Forsyth Road\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t683-341-8779\tE: 90,000 - 109,999\t9000\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8221\tPatricia\tPhillips\tF\t1944\t\t47 West Garland Road\t70006\tAugsburg\t51082\tBayern\t52561\t52776\t262-278-2297\tE: 90,000 - 109,999\t9000\tPhillips@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8239\tPhilana\tOliver\tM\t1941\tsingle\t47 West Grand Forks Road\t85268\tWellington\t52503\tWellington\t52766\t52785\t638-702-3221\tF: 110,000 - 129,999\t3000\tOliver@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8247\tBertilde\tOrrson\tM\t1963\tmarried\t17 Skagway Yakutat Court\t80601\tSao Jose dos Campos\t52294\tSao Paulo\t52735\t52775\t346-681-6777\tA: Below 30,000\t1500\tOrrson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8255\tRadley\tBarker\tM\t1942\t\t47 West Guilford Road\t56418\tSaint-Jean-Saverne\t52283\tAlsace\t52546\t52779\t236-492-3770\tE: 90,000 - 109,999\t9000\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8257\tRaina\tLazar\tF\t1947\tmarried\t47 West Guthrie Road\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t253-603-2718\tB: 30,000 - 49,999\t1500\tLazar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8265\tRamsay\tAlden\tM\t1948\tsingle\t47 West Harbor Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t564-293-4568\tH: 150,000 - 169,999\t5000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8273\tRanier\tLauper\tM\t1949\t\t47 West Harrison Road\t36710\tMougins\t51925\tProvence-Alpes-Cote d'Azur\t52701\t52779\t672-451-5323\tG: 130,000 - 149,999\t9000\tLauper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8275\tRaphaela\tNewsome\tM\t1980\tsingle\t47 West Harvey Road\t85388\tArtas\t51072\tSD\t52725\t52790\t452-589-1109\tF: 110,000 - 129,999\t9000\tNewsome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8280\tBessie\tBarry\tF\t1958\tsingle\t17 Somerset Court\t41847\tEdgewood\t51443\tKY\t52632\t52790\t329-768-4253\tI: 170,000 - 189,999\t1500\tBarry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8284\tRebecca\tMacdonald\tF\t1939\tmarried\t47 West Hill Road\t72513\tManchester\t51896\tEngland - Greater Manchester\t52590\t52789\t541-749-1937\tC: 50,000 - 69,999\t1500\tMacdonald@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8289\tReginald\tNettles\tM\t1959\t\t47 West Hinds Road\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t412-113-4933\tD: 70,000 - 89,999\t10000\tNettles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8308\tRobert\tLawson\tM\t1941\tsingle\t47 West Huntingdon Road\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t113-563-7185\tF: 110,000 - 129,999\t9000\tLawson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8322\tRolph\tMansfield\tM\t1957\t\t47 West Isle Of Road\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t519-512-2915\tD: 70,000 - 89,999\t10000\tMansfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8399\tTheodore\tCarr\tF\t1971\tsingle\t47 West Linn Road\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t290-744-3882\tH: 150,000 - 169,999\t7000\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8409\tThorpe\tUmstatt\tM\t1955\tsingle\t47 West Louisa Road\t75704\tSaint-Emilion\t52282\tAquitaine\t52548\t52779\t313-406-2654\tH: 150,000 - 169,999\t10000\tUmstatt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8421\tTobey\tMaddox\tM\t1958\tsingle\t47 West Mahaska Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t432-135-4491\tF: 110,000 - 129,999\t9000\tMaddox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8423\tTobin\tCapp\tM\t1953\tmarried\t47 West Major Road\t47545\tSmyrna\t52317\tNY\t52679\t52790\t378-235-3801\tJ: 190,000 - 249,999\t9000\tCapp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8424\tBlanche\tLease\tM\t1942\tsingle\t17 Stone Court\t85618\tLochem\t51802\tGelderland\t52610\t52770\t185-386-8529\tF: 110,000 - 129,999\t3000\tLease@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8448\tTrixy\tOakfield\tM\t1972\tmarried\t47 West McHenry Road\t83786\tNagoya\t51971\tAichi\t52543\t52782\t494-469-2106\tB: 30,000 - 49,999\t5000\tOakfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8479\tVan\tLeary\tM\t1937\t\t47 West Monmouth Road\t45704\tMackville\t51890\tKY\t52632\t52790\t344-634-7809\tB: 30,000 - 49,999\t1500\tLeary@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8496\tVivian\tKipp\tF\t1970\tsingle\t47 West Morris Road\t66798\tAllport\t51055\tAR\t52540\t52790\t358-506-6660\tK: 250,000 - 299,999\t15000\tKipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8497\tWanda\tLindegreen\tF\t1941\tmarried\t47 West Morrow Road\t66798\tAllport\t51055\tAR\t52540\t52790\t443-366-3787\tF: 110,000 - 129,999\t1500\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8521\tWylie\tStockman\tM\t1968\tsingle\t47 West Norfolk Road\t34216\tMurnau\t51934\tBayern\t52561\t52776\t522-144-9935\tD: 70,000 - 89,999\t9000\tStockman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8540\tZachariah\tSalem\tM\t1932\tmarried\t47 West Onslow Road\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t175-625-7186\tD: 70,000 - 89,999\t5000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8542\tZandra\tLightfoot\tF\t1931\t\t47 West Ontonagon Road\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t379-107-5906\tD: 70,000 - 89,999\t10000\tLightfoot@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8545\tZebulon\tPoindexter\tM\t1958\t\t47 West Orleans Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t644-234-6663\tA: Below 30,000\t1500\tPoindexter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8550\tZenda\tSaintclair\tF\t1963\tmarried\t47 West Otoe Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t327-503-8195\tE: 90,000 - 109,999\t1500\tSaintclair@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8566\tAngie\tPlayer\tF\t1963\t\t47 West Park Road\t88021\tSully\t52333\tIA\t52618\t52790\t656-590-4200\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8589\tBabs\tCartwright\tM\t1957\t\t47 West Pittsylvania Road\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t482-656-2867\tF: 110,000 - 129,999\t10000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8601\tBaxter\tLegg\tM\t1958\tsingle\t47 West Porter Road\t50960\tFive Points\t51504\tTN\t52744\t52790\t301-157-2531\tK: 250,000 - 299,999\t11000\tLegg@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8610\tBenita\tZhang\tF\t1940\tmarried\t47 West Pratt Road\t85407\tKenmare\t51723\tKerry\t52637\t52772\t322-678-9387\tF: 110,000 - 129,999\t1500\tZhang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8623\tBetty\tZoldos\tF\t1947\tmarried\t47 West Queens Road\t61189\tEvinston\t51459\tFL\t52595\t52790\t460-383-2191\tC: 50,000 - 69,999\t1500\tZoldos@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8638\tBo\tLinden\tM\t1950\tsingle\t47 West Rensselaer Road\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t115-774-7246\tH: 150,000 - 169,999\t3000\tLinden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8640\tBobby\tIrving\tM\t1943\tmarried\t47 West Rhea Road\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t302-670-3595\tC: 50,000 - 69,999\t5000\tIrving@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8643\tBonnie\tEverrett\tF\t1978\tmarried\t47 West Richmond Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t646-606-2286\tF: 110,000 - 129,999\t1500\tEverrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8650\tBrand\tKing\tM\t1971\tmarried\t47 West Roane Road\t52092\tGrand Pressigny\t51589\tCentre\t52573\t52779\t199-760-4657\tF: 110,000 - 129,999\t1500\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8652\tBrant\tGeralt\tM\t1938\t\t47 West Robertson Road\t74903\tArnhem\t51071\tGelderland\t52610\t52770\t626-739-3745\tE: 90,000 - 109,999\t7000\tGeralt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8664\tBryant\tElkin\tM\t1961\tsingle\t47 West Rusk Road\t79119\tKerkrade\t51726\tLimburg\t52646\t52770\t141-632-9341\tG: 130,000 - 149,999\t3000\tElkin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8674\tCal\tYang\tM\t1951\tmarried\t47 West Saint Clair Road\t47996\tOran\t52035\tMO\t52657\t52790\t215-458-5588\tG: 130,000 - 149,999\t5000\tYang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8675\tCaland\tCowl\tM\t1933\tsingle\t47 West Saint Francis Road\t47996\tOran\t52035\tMO\t52657\t52790\t326-616-3245\tB: 30,000 - 49,999\t1500\tCowl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8679\tCameron\tKotch\tM\t1971\tsingle\t47 West Salinas Road\t63277\tHousatonic\t51670\tMA\t52649\t52790\t581-755-5776\tH: 150,000 - 169,999\t7000\tKotch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8692\tCarlos\tCase\tM\t1983\tsingle\t47 West San Miguel Road\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t641-436-3854\tG: 130,000 - 149,999\t3000\tCase@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8694\tCarrol\tNickols\tF\t1948\tmarried\t47 West Sanborn Road\t30000\tRio de Janeiro\t52167\tRio de Janeiro\t52713\t52775\t457-462-1484\tD: 70,000 - 89,999\t5000\tNickols@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8698\tCecil\tPackerman\tF\t1952\tsingle\t47 West Santa Clara Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t510-626-5609\tH: 150,000 - 169,999\t3000\tPackerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8721\tDenice\tOrson\tM\t1983\tsingle\t47 West Sherburne Road\t48346\tNoma\t51985\tFL\t52595\t52790\t403-596-3931\tF: 110,000 - 129,999\t9000\tOrson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8729\tDina\tKlebe\tF\t1956\t\t47 West Snyder Road\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t247-521-5631\tE: 90,000 - 109,999\t10000\tKlebe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8737\tDolores\tGrimes\tF\t1971\tsingle\t47 West St Joseph Road\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t217-641-8218\tI: 170,000 - 189,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8748\tEmmet\tBarr\tM\t1973\t\t47 West Stratford Road\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t259-640-5377\tE: 90,000 - 109,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8760\tEthan\tNielley\tM\t1965\tmarried\t47 West Swisher Road\t34547\tHatfield\t51652\tWI\t52760\t52790\t218-601-2730\tG: 130,000 - 149,999\t5000\tNielley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8768\tBuddy\tWelch\tM\t1937\t\t17 Timberland Court\t91887\tStockdale\t52326\tPA\t52693\t52790\t283-400-4672\tE: 90,000 - 109,999\t7000\tWelch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8800\tGaston\tWebber\tM\t1959\tsingle\t47 West Tyler Road\t57339\tAuckland\t51081\tAuckland\t52549\t52785\t296-425-4048\tH: 150,000 - 169,999\t7000\tWebber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8806\tGerald\tNeila\tM\t1958\tsingle\t47 West Upton Road\t53086\tSan Mateo\t52290\tCA\t52567\t52790\t446-231-4646\tD: 70,000 - 89,999\t3000\tNeila@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8809\tGertrude\tTrimmer\tM\t1940\t\t47 West Vega Alta Road\t39914\tSan Francisco\t52289\tCA\t52567\t52790\t237-103-4409\tE: 90,000 - 109,999\t9000\tTrimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8810\tGideon\tFernandez\tM\t1979\tsingle\t47 West Vega Baja Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t196-544-5244\tH: 150,000 - 169,999\t10000\tFernandez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8818\tGinger\tMahood\tF\t1951\tmarried\t47 West Vilas Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t197-485-1661\tF: 110,000 - 129,999\t1500\tMahood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8819\tGladys\tRoberts\tM\t1976\tsingle\t47 West Villalba Road\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t330-561-2137\tH: 150,000 - 169,999\t3000\tRoberts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8856\tHarriett\tLassiter\tM\t1956\t\t47 West Wichita Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t140-386-3243\tF: 110,000 - 129,999\t10000\tLassiter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8864\tHeath\tParker\tF\t1943\tmarried\t47 West Windy City Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t529-143-8163\tF: 110,000 - 129,999\t1500\tParker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8869\tCalvert\tLassiter\tM\t1959\tsingle\t17 Trego Court\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t475-597-6306\tH: 150,000 - 169,999\t10000\tLassiter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8874\tHenrietta\tYoung\tF\t1970\tmarried\t47 West Wyoming Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t683-196-3847\tD: 70,000 - 89,999\t5000\tYoung@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8876\tHerbert\tMotion\tM\t1965\t\t47 West Yabucoa Road\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t619-182-9926\tD: 70,000 - 89,999\t10000\tMotion@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8879\tHester\tEddisson\tM\t1972\t\t47 West Yamhill Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t497-208-7183\tA: Below 30,000\t1500\tEddisson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8896\tHorace\tWalker\tM\t1951\tsingle\t47 North 42nd Road\t37631\tCandler\t51310\tFL\t52595\t52790\t550-609-7630\tI: 170,000 - 189,999\t9000\tWalker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8913\tInez\tLattimer\tM\t1973\t\t47 North Allamakee Road\t91436\tErlangen\t51456\tBayern\t52561\t52776\t137-171-8457\tF: 110,000 - 129,999\t7000\tLattimer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8914\tCandace\tEubank\tM\t1972\tmarried\t17 Trumbull Court\t83335\tPurmerend\t52115\tNoord-Holland\t52683\t52770\t633-533-3845\tF: 110,000 - 129,999\t5000\tEubank@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8923\tJacob\tLessman\tM\t1946\t\t47 North Apache Road\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t253-467-2856\tF: 110,000 - 129,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8925\tCandice\tLloyd\tM\t1964\tsingle\t17 Tulare Court\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t484-617-1897\tJ: 190,000 - 249,999\t11000\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8935\tLenore\tRush\tM\t1953\tsingle\t47 North Atlantic Road\t90755\tTioga\t52371\tND\t52665\t52790\t525-671-9939\tK: 250,000 - 299,999\t11000\tRush@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8945\tLetitia\tRobinson\tF\t1956\tsingle\t47 North Bannock Road\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t492-438-8276\tB: 30,000 - 49,999\t3000\tRobinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8966\tLois\tBarker\tM\t1961\t\t47 North Becker Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t163-445-7259\tD: 70,000 - 89,999\t7000\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8969\tCarey\tColven\tM\t1979\tsingle\t17 Tyler Court\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t532-380-7495\tH: 150,000 - 169,999\t7000\tColven@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8973\tLorna\tThomas\tF\t1941\t\t47 North Bennington Road\t70126\tAldridge\t51050\tEngland - West Midlands\t52593\t52789\t577-362-6881\tC: 50,000 - 69,999\t7000\tThomas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8980\tCarl\tZanis\tM\t1955\tmarried\t17 Ulster Court\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t557-527-1166\tF: 110,000 - 129,999\t5000\tZanis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8993\tLupe\tLuke\tF\t1964\tsingle\t47 North Bolivar Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t583-195-2898\tL: 300,000 and above\t9000\tLuke@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8994\tLyle\tKirwin\tM\t1977\tmarried\t47 North Bollinger Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t660-371-2221\tE: 90,000 - 109,999\t5000\tKirwin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9003\tCarlos\tTanney\tM\t1960\t\t17 University Court\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t133-738-4855\tG: 130,000 - 149,999\t10000\tTanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9028\tMarc\tElliott\tM\t1949\tmarried\t47 North Bush Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t655-452-9307\tD: 70,000 - 89,999\t5000\tElliott@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9042\tMatthew\tKuehen\tM\t1983\tsingle\t47 North Camden Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t391-607-4292\tG: 130,000 - 149,999\t9000\tKuehen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9044\tMax\tGermonds\tM\t1950\tmarried\t47 North Carbon Road\t39895\tDarmstadt\t51380\tHessen\t52617\t52776\t311-470-3627\tF: 110,000 - 129,999\t1500\tGermonds@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9059\tMiranda\tRicketts\tF\t1956\tsingle\t47 North Catawba Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t582-524-2224\tJ: 190,000 - 249,999\t11000\tRicketts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9060\tMisha\tBarrett\tM\t1959\t\t47 North Catoosa Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t381-343-2515\tD: 70,000 - 89,999\t7000\tBarrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9068\tMortimer\tValentino\tM\t1938\t\t47 North Chelsea Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t174-700-7432\tC: 50,000 - 69,999\t9000\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9081\tNora\tEdmondson\tF\t1980\tmarried\t47 North Chisago Road\t73421\tBondy\t51206\tIle-de-France\t52623\t52779\t599-481-3165\tE: 90,000 - 109,999\t5000\tEdmondson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9092\tOpal\tAaron\tM\t1962\tmarried\t47 North Clayton Road\t51969\tTrafford\t52378\tAL\t52534\t52790\t665-731-5987\tL: 300,000 and above\t11000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9103\tPage\tKoch\tM\t1951\tsingle\t47 North Coleman Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t212-664-1185\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9108\tPatience\tLing\tM\t1966\tsingle\t47 North Concordia Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t226-222-5601\tF: 110,000 - 129,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9131\tPia\tBrooks\tM\t1947\tmarried\t47 North Dale Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t353-356-5530\tE: 90,000 - 109,999\t1500\tBrooks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9133\tPollyanna\tMaddox\tF\t1952\tsingle\t47 North Dare Road\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t384-568-1642\tH: 150,000 - 169,999\t7000\tMaddox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9136\tDeann\tDutton\tM\t1962\t\t17 Vigo Court\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t441-140-1581\tE: 90,000 - 109,999\t10000\tDutton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9139\tPriscilla\tVoss\tM\t1941\tsingle\t47 North De Baca Road\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t219-346-7717\tD: 70,000 - 89,999\t3000\tVoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9150\tRalston\tJansen\tM\t1956\t\t47 North Denver Road\t32701\tFreising\t51522\tBayern\t52561\t52776\t506-391-3247\tE: 90,000 - 109,999\t10000\tJansen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9165\tRawdon\tRoche\tM\t1942\t\t47 North Donna Pass Road\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t158-167-7988\tE: 90,000 - 109,999\t3000\tRoche@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9175\tReece\tRosser\tM\t1951\tsingle\t47 North Dunn Road\t45704\tMackville\t51890\tKY\t52632\t52790\t144-642-2010\tI: 170,000 - 189,999\t9000\tRosser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9182\tRenfred\tSmith\tM\t1985\tsingle\t47 North Ellizabeth Road\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t289-542-5444\tI: 170,000 - 189,999\t9000\tSmith@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9197\tRobert\tBaer\tM\t1941\tmarried\t47 North Faulk Road\t85145\tSchoonoord\t52299\tDrenthe\t52579\t52770\t153-283-9932\tF: 110,000 - 129,999\t1500\tBaer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9206\tRoger\tLee\tM\t1956\t\t47 North Foothill Road\t71939\tMeppen\t51909\tNiedersachsen\t52681\t52776\t175-378-7458\tF: 110,000 - 129,999\t7000\tLee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9213\tDeirdre\tRuddle\tM\t1955\tmarried\t17 Wadena Court\t78889\tOrlinda\t52038\tTN\t52744\t52790\t535-671-8332\tK: 250,000 - 299,999\t9000\tRuddle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9221\tRosamond\tOrr\tF\t1969\t\t47 North Garland Road\t84020\tSykesville\t52335\tMD\t52652\t52790\t340-212-4459\tE: 90,000 - 109,999\t9000\tOrr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9243\tRuford\tKlesser\tM\t1931\t\t47 North Grays Harbor Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t187-746-8400\tD: 70,000 - 89,999\t10000\tKlesser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9257\tSalomon\tPoindexter\tM\t1943\tmarried\t47 North Guthrie Road\t75917\tMolino\t51917\tFL\t52595\t52790\t663-634-4281\tB: 30,000 - 49,999\t1500\tPoindexter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9260\tSammy\tLivesay\tF\t1978\t\t47 North Hamilton Road\t75917\tMolino\t51917\tFL\t52595\t52790\t136-430-6886\tE: 90,000 - 109,999\t7000\tLivesay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9269\tDelores\tIvy\tF\t1984\tsingle\t17 Walsh Court\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t634-394-8013\tK: 250,000 - 299,999\t15000\tIvy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9272\tTerry\tRobbinette\tF\t1945\tsingle\t47 North Harney Road\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t200-483-5454\tF: 110,000 - 129,999\t3000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9274\tTasha\tRice\tF\t1983\tmarried\t47 North Hartford Road\t77501\tLowndesville\t51807\tSC\t52722\t52790\t670-506-3235\tK: 250,000 - 299,999\t7000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9283\tThalia\tOsborne\tF\t1922\t\t47 North Hewlet Road\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t338-267-9498\tA: Below 30,000\t1500\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9313\tDenise\tBanfield\tM\t1937\tmarried\t17 Warrick Court\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t219-438-7742\tB: 30,000 - 49,999\t5000\tBanfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9330\tTricia\tKruger\tF\t1975\tmarried\t47 North Johnson Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t141-213-2144\tF: 110,000 - 129,999\t1500\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9336\tDesma\tJanssen\tM\t1969\t\t17 Washakie Court\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t429-683-5839\tJ: 190,000 - 249,999\t15000\tJanssen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9358\tDiamond\tPearson\tM\t1929\tsingle\t17 Washoe Court\t83786\tNagoya\t51971\tAichi\t52543\t52782\t238-619-9254\tA: Below 30,000\t1500\tPearson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9362\tVale\tKing\tF\t1973\tsingle\t47 North La Plata Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t514-764-4490\tI: 170,000 - 189,999\t9000\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9376\tVerna\tElkin\tF\t1951\tsingle\t47 North Larimer Road\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t342-571-9782\tH: 150,000 - 169,999\t10000\tElkin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9384\tVirginia\tGroves\tF\t1946\tmarried\t47 North Laurel Road\t43329\tAttica\t51078\tNY\t52679\t52790\t274-324-9290\tG: 130,000 - 149,999\t3000\tGroves@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9401\tWoodley\tNewkirk\tM\t1955\t\t47 North Livingston Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t491-383-6279\tC: 50,000 - 69,999\t9000\tNewkirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9414\tWynnee\tZimmer\tM\t1977\tmarried\t47 North Lycoming Road\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t259-200-8034\tE: 90,000 - 109,999\t5000\tZimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9431\tZandra\tBarron\tF\t1968\tsingle\t47 North Marinette Road\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t576-797-7570\tD: 70,000 - 89,999\t3000\tBarron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9439\tZenda\tChambliss\tF\t1976\t\t47 North Matagorda Road\t43505\tValencia\t52430\tValencia\t52755\t52778\t189-685-9894\tE: 90,000 - 109,999\t7000\tChambliss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9451\tAbraham\tRoland\tM\t1952\tsingle\t47 North Mckinley Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t347-434-3981\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9472\tAugust\tNielley\tF\t1956\tsingle\t47 North Milwaukee Road\t55787\tMontara\t51919\tCA\t52567\t52790\t285-462-7005\tD: 70,000 - 89,999\t3000\tNielley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9477\tBabetta\tJewell\tM\t1938\tmarried\t47 North Moca Road\t61852\tWoodstock\t52515\tMN\t52656\t52790\t182-549-4878\tE: 90,000 - 109,999\t1500\tJewell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9481\tBaird\tSagan\tM\t1939\tmarried\t47 North Mono Road\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t636-479-3045\tA: Below 30,000\t1500\tSagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9492\tBaylen\tHardy\tM\t1980\t\t47 North Mora Road\t62282\tSevery\t52305\tKS\t52630\t52790\t692-154-3309\tC: 50,000 - 69,999\t3000\tHardy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9498\tBenedict\tElgin\tM\t1937\t\t47 North Mount Shasta Road\t53086\tSan Mateo\t52290\tCA\t52567\t52790\t173-326-3414\tE: 90,000 - 109,999\t3000\tElgin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9534\tBoris\tRockwell\tM\t1984\tsingle\t47 North Oklahoma Road\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t225-241-2369\tJ: 190,000 - 249,999\t11000\tRockwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9535\tEmily\tLessman\tF\t1937\t\t17 Wichita Court\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t600-500-2444\tF: 110,000 - 129,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9539\tBrand\tKelleher\tM\t1979\t\t47 North Onondaga Road\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t683-637-1073\tF: 110,000 - 129,999\t7000\tKelleher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9548\tBriana\tRothman\tF\t1962\tmarried\t47 North Oswego Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t244-403-9910\tL: 300,000 and above\t11000\tRothman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9555\tBud\tPinkston\tM\t1960\t\t47 North Ozark Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t500-247-4051\tJ: 190,000 - 249,999\t15000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9556\tBuddy\tWelch\tM\t1951\tmarried\t47 North Ozaukee Road\t83805\tNorth Druid Hills\t51990\tGE\t52604\t52790\t579-753-3084\tE: 90,000 - 109,999\t1500\tWelch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9578\tCarl\tZanis\tM\t1944\tsingle\t47 North Perkins Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t137-777-6323\tF: 110,000 - 129,999\t3000\tZanis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9596\tDeb\tCoe\tF\t1965\tsingle\t47 North Polk Road\t66241\tJerome\t51697\tAR\t52540\t52790\t564-561-1262\tH: 150,000 - 169,999\t10000\tCoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9600\tDeedee\tIvey\tF\t1966\tsingle\t47 North Portage Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t525-407-6679\tH: 150,000 - 169,999\t5000\tIvey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9604\tDelilah\tFairfax\tF\t1945\tmarried\t47 North Pottawatomie Road\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t672-652-5272\tA: Below 30,000\t1500\tFairfax@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9652\tEva\tKish\tF\t1958\t\t47 North Robertson Road\t78247\tVelp\t52438\tGelderland\t52610\t52770\t474-650-5570\tE: 90,000 - 109,999\t7000\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9662\tFord\tKeiner\tM\t1919\t\t47 North Runnels Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t265-330-7720\tA: Below 30,000\t1500\tKeiner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9684\tGarnett\tThomas\tM\t1953\tmarried\t47 North San Bernardino Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t694-617-9718\tJ: 190,000 - 249,999\t9000\tThomas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9687\tGary\tAlden\tM\t1935\tmarried\t47 North San German Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t257-555-3920\tD: 70,000 - 89,999\t5000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9707\tGladys\tGray\tM\t1978\tsingle\t47 North Schuylkill Road\t67042\tCranford\t51345\tNJ\t52670\t52790\t391-448-3716\tH: 150,000 - 169,999\t5000\tGray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9736\tHali\tLavin\tM\t1960\t\t47 North St. Martin Road\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t456-111-6111\tC: 50,000 - 69,999\t3000\tLavin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9738\tHamilton\tElliott\tM\t1966\tsingle\t47 North Stanislaus Road\t75603\tPalmdale\t52102\tFL\t52595\t52790\t320-719-1446\tF: 110,000 - 129,999\t3000\tElliott@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9740\tHardy\tIngold\tM\t1963\tmarried\t47 North Starr Road\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t313-743-3502\tE: 90,000 - 109,999\t5000\tIngold@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9746\tEve\tSalvadore\tF\t1951\tmarried\t17 Yadkin Court\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t289-453-3129\tF: 110,000 - 129,999\t1500\tSalvadore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9754\tHector\tGermonds\tM\t1946\tsingle\t47 North Sunset Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t378-765-9811\tF: 110,000 - 129,999\t9000\tGermonds@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9762\tHenrietta\tRoisston\tF\t1940\t\t47 North Talbot Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t648-638-7746\tD: 70,000 - 89,999\t10000\tRoisston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9778\tHomer\tValentino\tM\t1956\t\t47 North Timberland Road\t82034\tWaycross\t52499\tGE\t52604\t52790\t299-210-9296\tE: 90,000 - 109,999\t7000\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9781\tHonda\tLittleton\tM\t1977\tmarried\t47 North Tioga Road\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t126-520-4597\tB: 30,000 - 49,999\t5000\tLittleton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9791\tFinlay\tLife\tM\t1968\tmarried\t17 Yates Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t691-195-9220\tL: 300,000 and above\t11000\tLife@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9795\tIdona\tMann\tF\t1957\tsingle\t47 North Tulare Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t385-564-4960\tJ: 190,000 - 249,999\t11000\tMann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9797\tImogen\tDriscoll\tM\t1950\tmarried\t47 North Tuscarawas Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t211-160-8084\tE: 90,000 - 109,999\t1500\tDriscoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9804\tIngrid\tKessel\tF\t1946\tmarried\t47 North Upshur Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t219-266-2356\tG: 130,000 - 149,999\t3000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9805\tIrene\tEverett\tF\t1936\tsingle\t47 North Upton Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t559-452-4150\tD: 70,000 - 89,999\t3000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9820\tLeah\tGrey\tM\t1977\tsingle\t47 North Vista Point Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t147-293-5845\tH: 150,000 - 169,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9842\tLillian\tLindsey\tF\t1930\t\t47 North Webster Road\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t558-577-2148\tC: 50,000 - 69,999\t3000\tLindsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9896\tMaddox\tDade\tM\t1949\tsingle\t47 South 42nd Road\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t431-628-2601\tI: 170,000 - 189,999\t11000\tDade@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9899\tMadelene\tMarkman\tF\t1953\tsingle\t47 South Adams Road\t32144\tGeorgetown\t51579\tPenang\t52700\t52769\t659-688-7978\tI: 170,000 - 189,999\t3000\tMarkman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9911\tMandisa\tGreenley\tF\t1973\tsingle\t47 South Alexandra Road\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t464-568-7178\tH: 150,000 - 169,999\t1500\tGreenley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9912\tManus\tZheng\tM\t1983\tsingle\t47 South Alexandria City Road\t34216\tMurnau\t51934\tBayern\t52561\t52776\t495-511-5547\tF: 110,000 - 129,999\t3000\tZheng@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9925\tFred\tWestman\tM\t1983\tsingle\t17 East 42nd Court\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t503-727-2740\tI: 170,000 - 189,999\t9000\tWestman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9931\tMatthew\tChan\tM\t1956\tmarried\t47 South Ashley Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t645-311-1904\tG: 130,000 - 149,999\t1500\tChan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9941\tMerrill\tKann\tF\t1960\tmarried\t47 South Baca Road\t91086\tHusum\t51671\tSchleswig-Holstein\t52736\t52776\t606-335-9295\tK: 250,000 - 299,999\t7000\tKann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9942\tMichael\tDahl\tM\t1962\tsingle\t47 South Bacon Road\t59392\tHeidenheim\t51655\tBaden-Wuerttemberg\t52559\t52776\t322-574-1628\tF: 110,000 - 129,999\t9000\tDahl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9947\tFrederick\tGilmore\tM\t1943\tmarried\t17 East Adair Court\t32945\tEl Campello\t51445\tAlicante\t52544\t52778\t213-253-4030\tB: 30,000 - 49,999\t1500\tGilmore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9954\tMorgan\tKlesser\tM\t1947\tmarried\t47 South Baton Rouge Road\t70577\tPaterna\t52105\tValencia\t52755\t52778\t685-605-1295\tC: 50,000 - 69,999\t5000\tKlesser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9964\tMyreon\tWarner\tM\t1945\tmarried\t47 South Bear Lake Road\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t434-345-6711\tF: 110,000 - 129,999\t1500\tWarner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9967\tNolita\tMulholland\tF\t1941\tmarried\t47 South Bedford Road\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t216-754-8659\tF: 110,000 - 129,999\t5000\tMulholland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9993\tPam\tKotzman\tF\t1960\t\t47 South Bolivar Road\t79889\tKrefeld\t51738\tNordrhein-Westfalen\t52684\t52776\t545-724-2908\tL: 300,000 and above\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10036\tGarnett\tThomas\tM\t1969\t\t17 East Alameda Court\t34216\tMurnau\t51934\tBayern\t52561\t52776\t540-564-3857\tJ: 190,000 - 249,999\t9000\tThomas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10037\tRaleigh\tKatz\tM\t1960\t\t47 South Caldwell Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t151-763-7774\tA: Below 30,000\t1500\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10046\tRandal\tZoldos\tM\t1961\tsingle\t47 South Carmell Road\t86539\tPlains\t52111\tMT\t52659\t52790\t120-260-8596\tK: 250,000 - 299,999\t9000\tZoldos@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10118\tRosetta\tRosenblum\tF\t1955\tsingle\t47 South Cowlitz Road\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t401-540-5436\tI: 170,000 - 189,999\t1500\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10125\tGeoffrey\tLucas\tM\t1985\tsingle\t17 East Allen Court\t34216\tMurnau\t51934\tBayern\t52561\t52776\t490-266-1598\tG: 130,000 - 149,999\t9000\tLucas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10131\tRue\tGrier\tM\t1980\tmarried\t47 South Dale Road\t43505\tValencia\t52430\tValencia\t52755\t52778\t296-307-4023\tE: 90,000 - 109,999\t1500\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10150\tSampson\tJustice\tM\t1968\t\t47 South Denver Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t330-221-9849\tE: 90,000 - 109,999\t10000\tJustice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10152\tTalia\tKlebe\tF\t1964\tsingle\t47 South Desha Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t402-487-6575\tH: 150,000 - 169,999\t3000\tKlebe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10161\tTerry\tRossellett\tF\t1964\tmarried\t47 South Dodge Road\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t277-495-9631\tF: 110,000 - 129,999\t5000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10162\tTerrie\tRoland\tF\t1983\tsingle\t47 South Dolphin Road\t76764\tAubervilliers\t51080\tIle-de-France\t52623\t52779\t597-324-8519\tG: 130,000 - 149,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10195\tTina\tWilmoth\tF\t1945\t\t47 South Falls Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t529-472-6286\tC: 50,000 - 69,999\t9000\tWilmoth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10198\tTitus\tCook\tM\t1933\tsingle\t47 South Faulkner Road\t53243\tTonkawa\t52373\tOK\t52689\t52790\t394-713-1757\tD: 70,000 - 89,999\t3000\tCook@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10201\tTobin\tBarlow\tM\t1974\tsingle\t47 South Feliciana Road\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t669-489-2243\tJ: 190,000 - 249,999\t11000\tBarlow@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n"}]},"jobName":"paragraph_1580854815485_488950611","id":"20200204-222015_337638396","dateCreated":"2018-02-06T13:15:54+0000","dateStarted":"2020-02-07T20:25:14+0000","dateFinished":"2020-02-07T20:25:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Create view joining CUSTOMERS and DEMOGRAPHICS_V ","text":"%script\n\nCREATE OR REPLACE VIEW CUSTOMERS360_V AS\n SELECT a.CUST_ID, a.CUST_GENDER, a.CUST_MARITAL_STATUS, a.CUST_YEAR_OF_BIRTH, \n a.CUST_INCOME_LEVEL, a.CUST_CREDIT_LIMIT, b.EDUCATION, b.AFFINITY_CARD, \n b.HOUSEHOLD_SIZE, b.OCCUPATION, b.YRS_RESIDENCE, b.Y_BOX_GAMES\n FROM SH.CUSTOMERS a, DEMOGRAPHICS_V b\n WHERE a.CUST_ID = b.CUST_ID;\n","user":"MARK","dateUpdated":"2020-02-07T20:25:14+0000","config":{"colWidth":5,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView CUSTOMERS360_V created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580857277376_-1784384538","id":"20200204-230117_591565689","dateCreated":"2020-02-04T23:01:17+0000","dateStarted":"2020-02-07T20:25:15+0000","dateFinished":"2020-02-07T20:25:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Display CUSTOMERS360_V","text":"%sql\n\nSELECT * FROM CUSTOMERS360_V;","user":"MARK","dateUpdated":"2020-02-07T20:25:15+0000","config":{"colWidth":7,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"jobName":"paragraph_1580854815485_-1744809523","id":"20200204-222015_1506072547","dateCreated":"2018-02-06T13:30:31+0000","dateStarted":"2020-02-07T20:25:18+0000","dateFinished":"2020-02-07T20:25:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Evaluate distribution of CUST_YEAR_BIRTH vs. CUST_MARITAL_STATUS from CUSTOMERS360_V","text":"%sql\n\n-- Click the bar chart icon and expand settings. Drag CUST_YEAR_OF_BIRTH to Keys, YRS_RESIDENCE to Values, and CUST_MARITAL_STATUS to Groups. \n\nSELECT * FROM CUSTOMERS360_V;","user":"MARK","dateUpdated":"2020-02-07T20:25:29+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"CUST_YEAR_OF_BIRTH","index":3,"aggr":"sum"}],"values":[{"name":"YRS_RESIDENCE","index":10,"aggr":"sum"}],"scatter":{"yAxis":{"name":"YRS_RESIDENCE","index":10,"aggr":"sum"},"xAxis":{"name":"CUST_YEAR_OF_BIRTH","index":3,"aggr":"sum"},"group":{"name":"CUST_MARITAL_STATUS","index":2,"aggr":"sum"}},"groups":[{"name":"CUST_MARITAL_STATUS","index":2,"aggr":"sum"}],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default","stacked":true}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"jobName":"paragraph_1580854815485_-280230060","id":"20200204-222015_1951679402","dateCreated":"2018-02-06T13:44:53+0000","dateStarted":"2020-02-07T20:25:19+0000","dateFinished":"2020-02-07T20:25:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Drop, then build Anomaly Detection model (1-Class SVM)","text":"%script\nBEGIN DBMS_DATA_MINING.DROP_MODEL('CUSTOMERS360MODEL');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_SUPPORT_VECTOR_MACHINES';\n V_setlst('PREP_AUTO') := 'ON';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'CUSTOMERS360MODEL',\n MINING_FUNCTION => 'CLASSIFICATION',\n DATA_QUERY => 'select * from CUSTOMERS360_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => NULL);\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:25:20+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580854815485_-929196267","id":"20200204-222015_697555661","dateCreated":"2018-02-05T23:20:57+0000","dateStarted":"2020-02-07T20:25:20+0000","dateFinished":"2020-02-07T20:25:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display customers in descending order of anomaly probability","text":"%sql\n\n-- Hint: In anomaly detection, known amomalies should be removed from the training dataset\n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, \n YRS_RESIDENCE, HOUSEHOLD_SIZE, CUST_GENDER,\n CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, \n CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nORDER BY prob_anomalous DESC;","user":"MARK","dateUpdated":"2020-02-07T20:25:22+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":194,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB_ANOMALOUS":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","RNK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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Customers with PROB_ANOMALOUS vs. YRS_RESIDENCE grouped by CUST_MARITAL_STATUS","text":"%sql\n\n-- Click the bar chart icon and expand settings. Drag PROB_ANOMALOUS to values, YRS_RESIDENCE to keys, CUST_MARITAL_STATUS to groups. \n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, HOUSEHOLD_SIZE, \n YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nORDER BY prob_anomalous DESC;","user":"MARK","dateUpdated":"2020-02-07T20:25:29+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"YRS_RESIDENCE","index":3,"aggr":"sum"}],"values":[{"name":"PROB_ANOMALOUS","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[{"name":"CUST_MARITAL_STATUS","index":5,"aggr":"sum"}],"height":300,"setting":{"stackedAreaChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default","stacked":true}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROB_ANOMALOUS\tHOUSEHOLD_SIZE\tYRS_RESIDENCE\tCUST_GENDER\tCUST_MARITAL_STATUS\tRNK\n103154\t0.76\t2\t2\tF\tWidowed\t1\n100199\t0.76\t2\t2\tF\tWidowed\t1\n102948\t0.73\t9+\t2\tF\tWidowed\t3\n101137\t0.67\t9+\t3\tF\tWidowed\t4\n104359\t0.66\t2\t6\tF\tWidowed\t5\n100170\t0.63\t9+\t3\tF\tWidowed\t6\n101434\t0.63\t2\t6\tF\tWidowed\t7\n100646\t0.63\t9+\t2\tF\tWidowed\t8\n104275\t0.62\t2\t0\tF\tWidowed\t9\n103702\t0.61\t6-8\t6\tM\tDivorc.\t10\n103132\t0.59\t9+\t5\tF\tMabsent\t11\n100373\t0.58\t2\t6\tF\tSepar.\t12\n103675\t0.58\t2\t6\tF\tSepar.\t12\n103313\t0.58\t9+\t6\tF\tWidowed\t14\n101128\t0.58\t9+\t6\tM\tMabsent\t15\n102419\t0.57\t9+\t2\tF\tWidowed\t16\n102329\t0.57\t2\t4\tF\tWidowed\t17\n101539\t0.57\t2\t2\tF\tWidowed\t18\n102837\t0.56\t2\t2\tF\tSepar.\t19\n103971\t0.56\t2\t6\tM\tMabsent\t20\n100382\t0.56\t2\t4\tM\tMabsent\t21\n103441\t0.56\t9+\t2\tF\tWidowed\t22\n100661\t0.56\t2\t7\tF\tWidowed\t23\n100930\t0.56\t2\t0\tF\tWidowed\t24\n100132\t0.55\t2\t4\tF\tWidowed\t25\n100289\t0.55\t9+\t5\tM\tSepar.\t26\n103079\t0.55\t9+\t5\tM\tSepar.\t26\n101491\t0.55\t2\t2\tF\tWidowed\t28\n102922\t0.54\t2\t4\tF\tWidowed\t29\n102544\t0.54\t9+\t4\tF\tWidowed\t30\n102926\t0.54\t4-5\t2\tF\tMarried\t31\n103210\t0.53\t9+\t3\tF\tWidowed\t32\n101473\t0.53\t6-8\t5\tF\tSepar.\t33\n104398\t0.53\t6-8\t5\tF\tSepar.\t33\n104237\t0.53\t9+\t3\tF\tWidowed\t35\n102287\t0.53\t4-5\t2\tF\tMar-AF\t36\n102020\t0.52\t9+\t2\tM\tWidowed\t37\n100518\t0.52\t9+\t6\tF\tWidowed\t38\n103832\t0.51\t2\t3\tF\tWidowed\t39\n100969\t0.51\t9+\t2\tF\tMabsent\t40\n104314\t0.51\t9+\t2\tF\tMabsent\t40\n102802\t0.51\t6-8\t5\tF\tNeverM\t42\n100566\t0.51\t9+\t6\tF\tDivorc.\t43\n103417\t0.5\t6-8\t2\tF\tDivorc.\t44\n104286\t0.5\t4-5\t3\tF\tMarried\t45\n100735\t0.5\t9+\t5\tF\tDivorc.\t46\n103545\t0.5\t9+\t5\tF\tDivorc.\t46\n103684\t0.5\t2\t4\tM\tMabsent\t48\n100706\t0.5\t2\t0\tM\tDivorc.\t49\n101287\t0.49\t9+\t3\tF\tSepar.\t50\n101931\t0.49\t2\t5\tF\tSepar.\t51\n104201\t0.49\t9+\t5\tF\tWidowed\t52\n100400\t0.49\t6-8\t6\tM\tDivorc.\t53\n101693\t0.48\t4-5\t0\tF\tMarried\t54\n100708\t0.48\t2\t6\tF\tWidowed\t55\n103518\t0.48\t2\t6\tF\tWidowed\t55\n101556\t0.48\t9+\t2\tF\tWidowed\t57\n104416\t0.48\t2\t2\tF\tWidowed\t58\n102209\t0.48\t9+\t3\tF\tMabsent\t59\n101812\t0.47\t6-8\t4\tF\tNeverM\t60\n104254\t0.47\t9+\t2\tF\tWidowed\t61\n100148\t0.46\t2\t3\tF\tWidowed\t62\n103967\t0.46\t9+\t3\tF\tSepar.\t63\n103494\t0.46\t2\t3\tF\tWidowed\t64\n100699\t0.46\t2\t3\tF\tWidowed\t64\n100856\t0.46\t9+\t5\tF\tWidowed\t66\n103456\t0.46\t2\t7\tF\tWidowed\t67\n103516\t0.46\t2\t0\tM\tDivorc.\t68\n100001\t0.46\t2\t3\tF\tWidowed\t69\n102856\t0.46\t9+\t3\tF\tWidowed\t70\n101913\t0.46\t9+\t0\tM\tSepar.\t71\n100912\t0.45\t4-5\t4\tF\tMar-AF\t72\n101850\t0.45\t9+\t5\tF\tSepar.\t73\n100615\t0.45\t9+\t4\tF\tMabsent\t74\n101265\t0.45\t9+\t5\tM\tDivorc.\t75\n104177\t0.45\t1\t6\tF\tDivorc.\t76\n103296\t0.45\t2\t6\tF\tWidowed\t77\n100546\t0.45\t2\t6\tF\tWidowed\t77\n101297\t0.45\t9+\t1\tF\tSepar.\t79\n102017\t0.44\t6-8\t6\tM\tNeverM\t80\n101847\t0.44\t9+\t3\tF\tSepar.\t81\n100017\t0.44\t9+\t5\tF\tMabsent\t82\n103412\t0.44\t2\t4\tF\tWidowed\t83\n101472\t0.44\t6-8\t6\tF\tWidowed\t84\n104397\t0.44\t6-8\t6\tF\tWidowed\t84\n102857\t0.44\t9+\t4\tF\tSepar.\t86\n103188\t0.44\t2\t3\tF\tWidowed\t87\n100909\t0.44\t9+\t2\tF\tWidowed\t88\n104174\t0.44\t9+\t3\tF\tDivorc.\t89\n102590\t0.44\t2\t2\tF\tWidowed\t90\n103748\t0.43\t9+\t6\tM\tMabsent\t91\n100941\t0.43\t4-5\t3\tF\tMarried\t92\n102701\t0.43\t9+\t5\tF\tSepar.\t93\n101392\t0.43\t9+\t6\tF\tDivorc.\t94\n104257\t0.43\t4-5\t4\tF\tMar-AF\t95\n102194\t0.43\t2\t2\tF\tDivorc.\t96\n103403\t0.43\t9+\t3\tF\tWidowed\t97\n100811\t0.43\t2\t3\tF\tWidowed\t98\n103352\t0.43\t6-8\t3\tM\tMabsent\t99\n100072\t0.43\t6-8\t3\tM\tMabsent\t99\n101967\t0.42\t4-5\t3\tF\tMarried\t101\n101784\t0.42\t9+\t3\tF\tSepar.\t102\n100529\t0.42\t9+\t5\tF\tSepar.\t103\n102561\t0.42\t9+\t5\tF\tSepar.\t104\n101072\t0.42\t1\t6\tF\tDivorc.\t105\n102504\t0.42\t9+\t3\tF\tSepar.\t106\n102637\t0.42\t9+\t4\tF\tSepar.\t107\n103621\t0.41\t9+\t4\tF\tMabsent\t108\n102274\t0.41\t2\t6\tF\tWidowed\t109\n101283\t0.41\t9+\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the top 5 most anomalous customers","text":"%sql\n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, \n YRS_RESIDENCE, CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nWHERE rnk <= 5\nORDER BY prob_anomalous DESC;","user":"MARK","dateUpdated":"2020-02-07T20:25:24+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"}],"scatter":{"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":242,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB_ANOMALOUS":"string","YRS_RESIDENCE":"string","CUST_MARITAL_STATUS":"string","RNK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROB_ANOMALOUS\tYRS_RESIDENCE\tCUST_MARITAL_STATUS\tRNK\n100199\t0.76\t2\tWidowed\t1\n103154\t0.76\t2\tWidowed\t1\n102948\t0.73\t2\tWidowed\t3\n101137\t0.67\t3\tWidowed\t4\n104359\t0.66\t6\tWidowed\t5\n"}]},"jobName":"paragraph_1580854815485_-1285805167","id":"20200204-222015_1946102981","dateCreated":"2018-02-05T23:20:59+0000","dateStarted":"2020-02-07T20:25:24+0000","dateFinished":"2020-02-07T20:25:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"View Prediction Details of top 3 attributes to explain prediction","text":"%sql\n-- Select customers with OCCUPATION 'TechSup' and more than 50% probability of being anomalous \n\nSELECT CUST_ID, \n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\n FROM (SELECT CUST_ID, PREDICTION_DETAILS(CUSTOMERS360MODEL, '0' USING *) PREDICTION_DETAILS FROM CUSTOMERS360_V\n WHERE PREDICTION_PROBABILITY(CUSTOMERS360MODEL, '0' USING *) > 0.50\n AND OCCUPATION = 'TechSup'\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PREDICTION_DETAILS\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') \n OUTPRED;","user":"MARK","dateUpdated":"2020-02-07T20:25:25+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n100646\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".226\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".118\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".115\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".074\" \n102922\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".222\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1931\" weight=\".169\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".115\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".055\" \n103441\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".222\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".117\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".076\" \t\"HOUSEHOLD_SIZE\" actualValue=\"9+\" weight=\".072\" \n104286\t\"EDUCATION\" actualValue=\"9th\" weight=\".165\" \t\"HOUSEHOLD_SIZE\" actualValue=\"4-5\" weight=\".146\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".112\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1948\" weight=\".08\" 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\ No newline at end of file
+{"paragraphs":[{"text":"%md\n## Anomaly Detection to Detect Unusual or Rare Occurrences\n\nOracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in the data using the unsupervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a 1Class-SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:08:58+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Anomaly Detection to Detect Unusual or Rare Occurrences
\nOracle Machine Learning supports anomaly detection to identify rare or unusual records (customers, transactions, etc.) in the data using the unsupervised learning algorithm One-Class Support Vector Machine. In this notebook, you will build a 1Class-SVM model and then use it to flag unusual or suspicious records. The data used in this example is from the SH schema. The entire machine learning methodology runs inside Oracle Autonomous Database (ADB).
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_121960636","id":"20200915-183828_1595355677","dateCreated":"2018-02-05T23:20:46+0000","dateStarted":"2020-09-15T23:08:58+0000","dateFinished":"2020-09-15T23:09:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md \n\n\n
","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:01+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-97457075","id":"20200915-183828_365544009","dateCreated":"2018-02-05T23:20:54+0000","dateStarted":"2020-09-15T23:09:01+0000","dateFinished":"2020-09-15T23:09:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md \nOracle ADW Documentation \nOML folder on Github \nOML web page: \nOML Anomaly Detection ","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:02+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Anomaly Detection https://www.oracle.com/goto/ml-anomaly-detection
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_2115922776","id":"20200915-183828_474454288","dateCreated":"2018-02-06T14:12:12+0000","dateStarted":"2020-09-15T23:09:02+0000","dateFinished":"2020-09-15T23:09:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Create view DEMOGRAPHICS_V with columns of interest","text":"%sql\n\nCREATE OR REPLACE VIEW DEMOGRAPHICS_V AS\n SELECT CUST_ID, YRS_RESIDENCE, EDUCATION, AFFINITY_CARD, \n HOUSEHOLD_SIZE, OCCUPATION, BOOKKEEPING_APPLICATION, \n BULK_PACK_DISKETTES, FLAT_PANEL_MONITOR, HOME_THEATER_PACKAGE,\n OS_DOC_SET_KANJI, PRINTER_SUPPLIES, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:02+0000","config":{"colWidth":7,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195108482_32935465","id":"20200915-183828_904618396","dateCreated":"2018-02-05T23:29:40+0000","dateStarted":"2020-09-15T23:09:02+0000","dateFinished":"2020-09-15T23:09:08+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display DEMOGRAPHICS_V data","text":"%sql\n\nSELECT * FROM DEMOGRAPHICS_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:08+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}],"values":[{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"},"xAxis":{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"AFFINITY_CARD":"string","BOOKKEEPING_APPLICATION":"string","BULK_PACK_DISKETTES":"string","CUST_ID":"string","EDUCATION":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","OS_DOC_SET_KANJI":"string","PRINTER_SUPPLIES":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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Bach.\t0\t3\tExec.\t1\t1\t1\t1\t0\t1\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_1991426951","id":"20200915-183828_1393175270","dateCreated":"2018-02-06T13:14:22+0000","dateStarted":"2020-09-15T23:09:08+0000","dateFinished":"2020-09-15T23:09:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display CUSTOMERS table","text":"%sql\n\nSELECT * FROM SH.CUSTOMERS SAMPLE(10) ORDER BY CUST_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:09+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_GENDER":"string","CUST_YEAR_OF_BIRTH":"string","CUST_MARITAL_STATUS":"string","CUST_STREET_ADDRESS":"string","CUST_POSTAL_CODE":"string","CUST_CITY":"string","CUST_CITY_ID":"string","CUST_STATE_PROVINCE":"string","CUST_STATE_PROVINCE_ID":"string","COUNTRY_ID":"string","CUST_MAIN_PHONE_NUMBER":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","CUST_EMAIL":"string","CUST_TOTAL":"string","CUST_TOTAL_ID":"string","CUST_SRC_ID":"string","CUST_EFF_FROM":"string","CUST_EFF_TO":"string","CUST_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_GENDER\tCUST_YEAR_OF_BIRTH\tCUST_MARITAL_STATUS\tCUST_STREET_ADDRESS\tCUST_POSTAL_CODE\tCUST_CITY\tCUST_CITY_ID\tCUST_STATE_PROVINCE\tCUST_STATE_PROVINCE_ID\tCOUNTRY_ID\tCUST_MAIN_PHONE_NUMBER\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tCUST_EMAIL\tCUST_TOTAL\tCUST_TOTAL_ID\tCUST_SRC_ID\tCUST_EFF_FROM\tCUST_EFF_TO\tCUST_VALID\n1\tAbigail\tKessel\tM\t1946\t\t7 South 3rd Circle\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t127-379-8954\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8\tVida\tPuleo\tF\t1964\tmarried\t5541 Brutalized Street\t58488\tDolores\t51391\tCO\t52569\t52790\t(234) 693-8728\tC: 50,000 - 69,999\t3000\tvida.puleo@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n28\tDora\tHales\tF\t1945\tmarried\t10090 Loyally Street\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t(272) 719-6049\tJ: 190,000 - 249,999\t10000\tdora.hales@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n48\tCara\tReagan\tF\t1953\tmarried\t11047 Usurper Turnpike\t85388\tArtas\t51072\tSD\t52725\t52790\t(398) 948-1718\tG: 130,000 - 149,999\t7000\tcara.reagan@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n51\tAlyce\tGray\tF\t1959\tsingle\t3778 Irritations Street\t36598\tBaltimore\t51161\tCork\t52575\t52772\t(236) 832-8156\tH: 150,000 - 169,999\t9000\talyce.gray@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n55\tVelma\tMassey\tF\t1958\t\t6275 Toughly Street\t80371\tHalle\t51647\tSachsen-Anhalt\t52732\t52776\t(749) 594-5716\tK: 250,000 - 299,999\t11000\tvelma.massey@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n61\tLeora\tAbell\tF\t1957\tsingle\t9994 Converts Turnpike\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t(480) 268-9133\tC: 50,000 - 69,999\t3000\tleora.abell@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n93\tMadge\tBraun\tM\t1947\tsingle\t37 Brewster Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t304-263-2584\tH: 150,000 - 169,999\t5000\tBraun@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n97\tGerry\tRapp\tF\t1982\tsingle\t1430 Hereby Avenue\t39113\tLancaster\t51786\tNH\t52668\t52790\t(537) 646-5263\tF: 110,000 - 129,999\t7000\tgerry.rapp@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n98\tMargery\tDobson\tF\t1968\tmarried\t8368 Eigenstate Street\t90304\tHolden\t51665\tWV\t52762\t52790\t(286) 544-5324\tF: 110,000 - 129,999\t7000\tmargery.dobson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n119\tAgna\tNickols\tF\t1989\tsingle\t10397 Acquaints Street\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t(528) 885-2458\tE: 90,000 - 109,999\t5000\tagna.nickols@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n138\tMaggie\tCain\tF\t1956\t\t37 Broome Street\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t230-121-4071\tF: 110,000 - 129,999\t10000\tCain@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n143\tNeda\tClatterbuck\tF\t1950\tdivorced\t7715 Fifties Street\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(697) 507-8307\tD: 70,000 - 89,999\t3000\tneda.clatterbuck@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n148\tRiva\tAustin\tF\t1971\tmarried\t1847 Such Boulevard\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t(546) 476-8524\tF: 110,000 - 129,999\t7000\triva.austin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n150\tLeah\tSnodgrass\tF\t1930\tdivorced\t9899 Stockpile Street\t34646\tGirona\t51582\tGirona\t52611\t52778\t(628) 622-7305\tF: 110,000 - 129,999\t7000\tleah.snodgrass@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n151\tSabina\tNaber\tF\t1977\t\t3914 Acting Lane\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(630) 829-1505\tF: 110,000 - 129,999\t7000\tsabina.naber@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n155\tMarjery\tZiluca\tF\t1958\tsingle\t2463 Groans Lane\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t(611) 912-4302\tG: 130,000 - 149,999\t7000\tmarjery.ziluca@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n160\tMalcom\tIngersoll\tM\t1950\tsingle\t37 Brunswick Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t180-501-9971\tG: 130,000 - 149,999\t3000\tIngersoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n171\tMallory\tGrace\tM\t1937\t\t37 Bryan Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t222-502-7272\tE: 90,000 - 109,999\t7000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n184\tEliana\tZanth\tF\t1962\t\t9258 Paralleling Street\t90304\tHolden\t51665\tWV\t52762\t52790\t(280) 616-1165\tH: 150,000 - 169,999\t9000\teliana.zanth@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n190\tRosemary\tTannenbaum\tF\t1961\tsingle\t11321 Disasters Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t(662) 620-3961\t\t1500\tr.tannenbaum@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n196\tKatherine\tLipp\tF\t1986\tsingle\t4976 Countermeasures Avenue\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t(426) 778-8057\tD: 70,000 - 89,999\t3000\tkatherine.lipp@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n207\tIdette\tForster\tF\t1933\tdivorced\t2034 Maddest Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t(407) 716-9734\tG: 130,000 - 149,999\t7000\tidette.forster@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n221\tFaustine\tFleming\tF\t1938\tsingle\t2975 Attractiveness Street\t81319\tBarre\t51165\tMA\t52649\t52790\t(708) 842-4432\tC: 50,000 - 69,999\t3000\tfaustine.fleming@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n228\tRobin\tHowel\tF\t1978\tsingle\t6428 Contour Turnpike\t74673\tDuncan\t51402\tSC\t52722\t52790\t(318) 875-9208\tE: 90,000 - 109,999\t5000\trobin.howel@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n229\tElsie\tNaber\tF\t1960\tmarried\t11122 Partnership Turnpike\t91105\tForest Heights\t51511\tMD\t52652\t52790\t(348) 277-8244\tF: 110,000 - 129,999\t7000\telsie.naber@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n250\tHoney\tRattcliffe\tF\t1982\tsingle\t7895 Antagonist Street\t67111\tSzczecin\t52337\tSzczecin\t52742\t52786\t(430) 489-1565\tD: 70,000 - 89,999\t3000\thoney.rattcliffe@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n253\tCollette\tWeaver\tF\t1941\t\t11679 Apportion Street\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(714) 253-4881\tE: 90,000 - 109,999\t5000\tcollette.weaver@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n287\tYvonne\tLauderdale\tF\t1923\tmarried\t4699 Albrecht Boulevard\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t(207) 348-4062\tG: 130,000 - 149,999\t7000\tyvonne.lauderdale@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n299\tOlive\tSink\tF\t1924\tdivorced\t6671 Confess Lane\t90304\tHolden\t51665\tWV\t52762\t52790\t(245) 619-5566\tB: 30,000 - 49,999\t1500\tolive.sink@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n324\tBrooke\tSanford\tF\t1927\tmarried\t7512 Politic Street\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t(308) 263-6310\tA: Below 30,000\t1500\tbrooke.sanford@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n326\tMarshall\tLamb\tM\t1956\tsingle\t37 Calaveras Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t257-734-6745\tB: 30,000 - 49,999\t1500\tLamb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n330\tMara\tBaer\tF\t1966\tmarried\t2205 Bailing Boulevard\t89000\tWadsworth\t52491\tNV\t52678\t52790\t(375) 465-8583\tD: 70,000 - 89,999\t3000\tmara.baer@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n339\tLotus\tWipple\tF\t1973\tsingle\t7822 Taiwan Street\t36029\tBethelpark\t51185\tPA\t52693\t52790\t(296) 467-5542\tF: 110,000 - 129,999\t7000\tlotus.wipple@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n350\tWilhelmina\tHanrahan\tF\t1953\tdivorced\t4446 Fitch Street\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t(559) 585-3646\tL: 300,000 and above\t11000\tw.hanrahan@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n352\tPearl\tSchmit\tF\t1938\t\t5924 Winners Street\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t(282) 805-6376\tA: Below 30,000\t1500\tpearl.schmit@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n366\tAldercy\tSpriggs\tF\t1943\t\t10413 Disturber Drive\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t(636) 537-1300\tG: 130,000 - 149,999\t7000\taldercy.spriggs@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n370\tRoxana\tDodds\tF\t1973\t\t11701 Lapses Street\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(601) 449-1259\tH: 150,000 - 169,999\t9000\troxana.dodds@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n375\tFleur\tWade\tF\t1922\tsingle\t923 Darned Turnpike\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t(325) 750-9189\tK: 250,000 - 299,999\t11000\tfleur.wade@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n379\tCherie\tPerez\tF\t1980\t\t9937 Shots Drive\t89000\tWadsworth\t52491\tNV\t52678\t52790\t(574) 446-4979\tB: 30,000 - 49,999\t1500\tcherie.perez@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n383\tAileen\tEast\tF\t1943\tdivorced\t6465 Alcestis Street\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t(721) 597-5255\tD: 70,000 - 89,999\t3000\taileen.east@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n388\tRebba\tWagner\tF\t1969\t\t3993 Homo Street\t65891\tAalen\t51042\tBaden-Wuerttemberg\t52559\t52776\t(521) 220-1916\tF: 110,000 - 129,999\t7000\trebba.wagner@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n397\tShela\tNewcomer\tF\t1978\tmarried\t5587 Disbursing Street\t61555\tBath\t51168\tEngland - Avon\t52588\t52789\t(498) 349-2494\tH: 150,000 - 169,999\t9000\tshela.newcomer@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n398\tCaresse\tPuleo\tF\t1987\tsingle\t2409 Stromberg Drive\t30662\tQuimper\t52119\tBrittany\t52565\t52779\t(664) 684-3580\tI: 170,000 - 189,999\t10000\tcaresse.puleo@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n408\tStphanie\tSellers\tF\t1930\tdivorced\t5027 Resourceful Circle\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t(541) 896-4661\tC: 50,000 - 69,999\t3000\tstphanie.sellers@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n409\tTammy\tWade\tF\t1985\tsingle\t6552 Gun Circle\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(352) 843-6731\tD: 70,000 - 89,999\t3000\ttammy.wade@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n414\tMay\tFelton\tF\t1955\tmarried\t11970 Referencer Street\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t(347) 975-9777\tF: 110,000 - 129,999\t7000\tmay.felton@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n433\tAmber\tMason\tF\t1928\t\t10734 Pegboard Lane\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t(754) 273-1221\tC: 50,000 - 69,999\t3000\tamber.mason@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n448\tFreddy\tDamato\tM\t1953\tmarried\t17 Brazos Court\t32614\tLaluz\t51784\tNM\t52671\t52790\t275-766-7148\tG: 130,000 - 149,999\t5000\tDamato@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n473\tGala\tLockhard\tF\t1939\tsingle\t3502 Regina Street\t90074\tBremen\t51215\tBremen\t52564\t52776\t(376) 308-5541\tG: 130,000 - 149,999\t7000\tgala.lockhard@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n475\tTabitha\tCapps\tF\t1948\tdivorced\t6202 Sepulcher Street\t82850\tBowen\t51211\tIL\t52619\t52790\t(326) 380-5655\tG: 130,000 - 149,999\t7000\ttabitha.capps@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n477\tAmaris\tGarvin\tF\t1958\tsingle\t1599 Paunchy Lane\t70577\tPaterna\t52105\tValencia\t52755\t52778\t(636) 761-9792\tH: 150,000 - 169,999\t9000\tamaris.garvin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n478\tElise\tKatz\tF\t1961\tmarried\t5676 Royalty Drive\t57579\tDingle\t51389\tKerry\t52637\t52772\t(566) 641-6477\tI: 170,000 - 189,999\t10000\telise.katz@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n493\tMerrill\tYoung\tF\t1967\tmarried\t37 Carson City Street\t79783\tVass\t52435\tNC\t52664\t52790\t629-623-6097\tK: 250,000 - 299,999\t11000\tYoung@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n494\tLola\tHermanson\tF\t1922\tsingle\t11049 Accosts Street\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t(499) 325-3554\tE: 90,000 - 109,999\t5000\tlola.hermanson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n498\tDara\tHowel\tF\t1969\tmarried\t9374 Truism Turnpike\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t(461) 581-3108\tF: 110,000 - 129,999\t7000\tdara.howel@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n502\tAlyssa\tVoss\tF\t1934\tsingle\t6760 Converting Lane\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t(200) 909-8116\tH: 150,000 - 169,999\t9000\talyssa.voss@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n510\tChristine\tBirch\tF\t1923\tsingle\t6329 Anaphorically Turnpike\t40453\tNorth Carrollton\t51989\tMS\t52658\t52790\t(668) 930-8307\t\t1500\tchristine.birch@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n523\tLinda\tMann\tF\t1961\t\t4567 Clipped Street\t52602\tBlountstown\t51200\tFL\t52595\t52790\t(715) 321-6654\tF: 110,000 - 129,999\t7000\tlinda.mann@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n545\tGertrude\tAlbers\tF\t1982\tdivorced\t4453 Jolt Street\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t(404) 469-7419\tE: 90,000 - 109,999\t5000\tgertrude.albers@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n547\tMarion\tYoung\tF\t1981\tsingle\t4357 Raptly Street\t78618\tBerea\t51180\tKY\t52632\t52790\t(628) 293-8304\tF: 110,000 - 129,999\t7000\tmarion.young@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n566\tDain\tAcherman\tM\t1935\tsingle\t4353 Mulberries Turnpike\t51761\tBay City\t51170\tWI\t52760\t52790\t(485) 348-8298\tB: 30,000 - 49,999\t1500\tdain.acherman@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n570\tPaine\tBanfield\tM\t1954\t\t8200 Doubtful Street\t43209\tAix-en-Provence\t51046\tProvence-Alpes-Cote d'Azur\t52701\t52779\t(259) 479-4988\tD: 70,000 - 89,999\t3000\tpaine.banfield@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n572\tDion\tBartlett\tM\t1925\tsingle\t1701 Shorten Drive\t77448\tFranklin\t51518\tGE\t52604\t52790\t(701) 646-1800\tE: 90,000 - 109,999\t5000\tdion.bartlett@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n580\tAddison\tHurd\tM\t1981\tmarried\t10498 Incenses Street\t37281\tDanville\t51379\tMO\t52657\t52790\t(666) 910-6909\tG: 130,000 - 149,999\t7000\taddison.hurd@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n581\tKit\tStephneson\tM\t1947\tdivorced\t6486 Phantom Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t(443) 732-6251\tG: 130,000 - 149,999\t7000\tkit.stephneson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n614\tKane\tBane\tM\t1964\twidow\t3870 Interrelationships Street\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t(624) 291-9045\tK: 250,000 - 299,999\t11000\tkane.bane@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n627\tWendell\tLazar\tM\t1937\tdivorced\t2513 Atwater Circle\t80371\tHalle\t51647\tSachsen-Anhalt\t52732\t52776\t(462) 980-9861\tE: 90,000 - 109,999\t5000\twendell.lazar@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n639\tTracy\tSavage\tM\t1955\tsingle\t9878 Collects Drive\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t(607) 528-2971\tI: 170,000 - 189,999\t10000\ttracy.savage@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n645\tSinclair\tMinnever\tM\t1931\t\t9101 Pyle Lane\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t(478) 996-1170\tB: 30,000 - 49,999\t1500\tsinclair.minnever@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n650\tUlrick\tAlden\tM\t1940\tmarried\t7685 Incapable Turnpike\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(780) 835-9468\tD: 70,000 - 89,999\t3000\tulrick.alden@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n667\tSheridan\tWiser\tM\t1985\tsingle\t6734 Sordidly Turnpike\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t(414) 789-8704\tK: 250,000 - 299,999\t11000\tsheridan.wiser@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n709\tGideon\tDuke\tM\t1975\t\t3932 Multibyte Street\t84937\tCottbus\t51342\tBrandenburg\t52563\t52776\t(774) 416-6429\tF: 110,000 - 129,999\t7000\tgideon.duke@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n721\tRichard\tLovett\tM\t1969\tdivorced\t3845 Vanessa Lane\t36029\tBethelpark\t51185\tPA\t52693\t52790\t(723) 304-1775\tK: 250,000 - 299,999\t11000\trichard.lovett@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n735\tHoratio\tMinsky\tM\t1983\tdivorced\t5816 Sausage Drive\t37281\tDanville\t51379\tMO\t52657\t52790\t(667) 213-1466\tF: 110,000 - 129,999\t7000\thoratio.minsky@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n738\tPaige\tFiddler\tM\t1990\tsingle\t11389 Neutrally Drive\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t(790) 995-7627\tF: 110,000 - 129,999\t7000\tpaige.fiddler@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n742\tKirk\tMancini\tM\t1929\tdivorced\t4602 Anesthetizes Turnpike\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t(582) 451-7652\tH: 150,000 - 169,999\t9000\tkirk.mancini@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n753\tVirgil\tHaole\tM\t1959\t\t415 Valid Lane\t91105\tForest Heights\t51511\tMD\t52652\t52790\t(370) 673-3314\tC: 50,000 - 69,999\t3000\tvirgil.haole@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n764\tRussell\tJohn\tM\t1948\tmarried\t9050 Uttered Boulevard\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t(674) 914-9794\tF: 110,000 - 129,999\t7000\trussell.john@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n765\tPercy\tFixx\tM\t1965\tdivorced\t7960 Yorktown Street\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t(556) 745-5796\tG: 130,000 - 149,999\t7000\tpercy.fixx@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n767\tFlint\tJeffreys\tM\t1961\t\t3813 Avoidably Drive\t49708\tBaziege\t51172\tMidi-Pyrenees\t52663\t52779\t(660) 359-4652\tG: 130,000 - 149,999\t7000\tflint.jeffreys@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n773\tYork\tBeiers\tM\t1931\tsingle\t9209 Renaults Turnpike\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t(553) 962-3941\tJ: 190,000 - 249,999\t10000\tyork.beiers@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n777\tMurray\tCain\tM\t1981\tmarried\t10379 Nanosecond Drive\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(667) 635-8966\tA: Below 30,000\t1500\tmurray.cain@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n778\tCharles\tJacobs\tM\t1964\tdivorced\t8333 Simulations Boulevard\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t(539) 892-2528\tB: 30,000 - 49,999\t1500\tcharles.jacobs@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n779\tRamon\tStickle\tM\t1938\twidow\t6518 Kneed Street\t37962\tFort William\t51515\tScotland - Highlands and Islands\t52737\t52789\t(669) 733-9186\tC: 50,000 - 69,999\t3000\tramon.stickle@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n791\tAlgernon\tRand\tM\t1960\tsingle\t8616 Library Turnpike\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t(324) 217-7389\tF: 110,000 - 129,999\t7000\talgernon.rand@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n792\tNeal\tWelch\tM\t1973\tmarried\t8296 Shear Street\t71467\tRostock\t52175\tMecklenburg-Vorpommern\t52662\t52776\t(701) 375-1739\tG: 130,000 - 149,999\t7000\tneal.welch@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n808\tProsper\tLittlefield\tM\t1978\tmarried\t10145 Hypodermics Street\t80202\tBirchwood\t51191\tTN\t52744\t52790\t(301) 242-7279\tC: 50,000 - 69,999\t3000\tp.littlefield@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n813\tNelson\tBarker\tM\t1955\tsingle\t735 Thinking Drive\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t(646) 429-8820\tE: 90,000 - 109,999\t5000\tnelson.barker@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n822\tZel\tPollard\tM\t1970\tsingle\t6356 Rebellious Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t(604) 401-1210\tH: 150,000 - 169,999\t9000\tzel.pollard@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n827\tMaddox\tShort\tM\t1946\t\t6986 Goody Avenue\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t(482) 441-7676\tJ: 190,000 - 249,999\t10000\tmaddox.short@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n866\tStirling\tHillard\tM\t1964\tmarried\t3747 Counterpoint Drive\t78088\tAlicante\t51051\tAlicante\t52544\t52778\t(221) 493-6051\tE: 90,000 - 109,999\t5000\tstirling.hillard@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n887\tSam\tWood\tM\t1929\t\t5446 Predicate Circle\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t(457) 216-6036\tC: 50,000 - 69,999\t3000\tsam.wood@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n919\tDouglas\tAgey\tM\t1985\tsingle\t5212 Gesture Street\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t(472) 425-3774\tE: 90,000 - 109,999\t5000\tdouglas.agey@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n924\tJeffrey\tFay\tM\t1941\tsingle\t410 Exacerbate Turnpike\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(388) 466-6199\tF: 110,000 - 129,999\t7000\tjeffrey.fay@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n933\tCarlyle\tDeaver\tM\t1968\tsingle\t4097 Respecter Boulevard\t69084\tAtkinson\t51077\tNE\t52666\t52790\t(546) 690-3461\tJ: 190,000 - 249,999\t10000\tcarlyle.deaver@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n941\tColburn\tLawson\tM\t1946\t\t3727 Schedule Turnpike\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t(687) 547-4290\tC: 50,000 - 69,999\t3000\tcolburn.lawson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n948\tOriena\tKitchens\tF\t1975\tmarried\t37 Coal Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t283-650-5351\tE: 90,000 - 109,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n958\tReuben\tDevereaux\tM\t1971\tdivorced\t10304 Unification Street\t57579\tDingle\t51389\tKerry\t52637\t52772\t(332) 669-8705\tI: 170,000 - 189,999\t10000\treuben.devereaux@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n965\tNorbert\tDilly\tM\t1966\tmarried\t1994 Bass Turnpike\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t(489) 264-8983\tB: 30,000 - 49,999\t1500\tnorbert.dilly@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n984\tRichmond\tHerd\tM\t1947\tsingle\t9008 Believed Street\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t(782) 486-2389\tI: 170,000 - 189,999\t10000\trichmond.herd@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n988\tKelly\tSean\tM\t1931\tmarried\t10339 Conjunctions Street\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t(261) 618-4069\tL: 300,000 and above\t11000\tkelly.sean@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1001\tAntony\tPierce\tM\t1939\t\t10003 Aliasing Turnpike\t40696\tAtwood\t51079\tKS\t52630\t52790\t(635) 514-5716\tF: 110,000 - 129,999\t7000\tantony.pierce@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1012\tTimothy\tVaughn\tM\t1928\t\t6332 Insuperable Street\t36598\tBaltimore\t51161\tCork\t52575\t52772\t(203) 541-5008\tI: 170,000 - 189,999\t10000\ttimothy.vaughn@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1027\tOgden\tFerrin\tM\t1935\t\t10025 Ewen Boulevard\t57631\tBalk\t51160\tFriesland\t52600\t52770\t(496) 511-8611\tE: 90,000 - 109,999\t5000\togden.ferrin@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1039\tCraig\tLazar\tM\t1988\tsingle\t1594 Gutsy Street\t77448\tFranklin\t51518\tGE\t52604\t52790\t(231) 656-1016\tI: 170,000 - 189,999\t10000\tcraig.lazar@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1075\tClinton\tEddisson\tM\t1956\tsingle\t8760 Weiner Lane\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t(714) 361-6485\tD: 70,000 - 89,999\t3000\tclinton.eddisson@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1078\tArmand\tBrown\tM\t1929\tsingle\t4836 Partridges Boulevard\t34646\tGirona\t51582\tGirona\t52611\t52778\t(447) 901-1491\tE: 90,000 - 109,999\t5000\tarmand.brown@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1083\tPembroke\tKenney\tM\t1943\t\t11215 Canary Drive\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t(592) 629-5949\tF: 110,000 - 129,999\t7000\tpembroke.kenney@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1091\tRomney\tFlug\tM\t1964\tsingle\t3357 Disconnected Drive\t39113\tLancaster\t51786\tNH\t52668\t52790\t(292) 317-9810\tI: 170,000 - 189,999\t10000\tromney.flug@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1097\tBarry\tFeldman\tM\t1960\tsingle\t1312 Interferences Street\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t(421) 500-8375\tA: Below 30,000\t1500\tbarry.feldman@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1106\tDewey\tEastwood\tM\t1956\tmarried\t6744 Influences Turnpike\t38763\tHaiku-Pauwela\t51645\tHI\t52615\t52790\t(386) 553-3189\tE: 90,000 - 109,999\t5000\tdewey.eastwood@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1108\tStirling\tStein\tM\t1952\twidow\t9598 Burgess Street\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t(655) 970-6878\tF: 110,000 - 129,999\t7000\tstirling.stein@company2.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1117\tPauline\tKiker\tF\t1948\tsingle\t37 Coshocton Street\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t428-207-7794\tG: 130,000 - 149,999\t11000\tKiker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1119\tPenelope\tTate\tM\t1954\tsingle\t37 Cowlitz Street\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t532-609-3169\tI: 170,000 - 189,999\t1500\tTate@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1121\tPepita\tKish\tM\t1965\t\t37 Crawford Street\t63507\tErding\t51454\tBayern\t52561\t52776\t469-258-7020\tB: 30,000 - 49,999\t1500\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1135\tPoppy\tWolf\tF\t1950\tmarried\t37 Dauphin Street\t43505\tValencia\t52430\tValencia\t52755\t52778\t441-527-4765\tF: 110,000 - 129,999\t5000\tWolf@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1136\tPortia\tColter\tF\t1980\tsingle\t37 Davidson Street\t58801\tSkagen\t52313\tNorth Jutland\t52685\t52777\t393-171-1466\tF: 110,000 - 129,999\t9000\tColter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1141\tPrudence\tWestman\tM\t1982\tsingle\t37 De Kalb Street\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t437-415-4073\tI: 170,000 - 189,999\t7000\tWestman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1147\tRaina\tLazar\tF\t1961\t\t37 Dekalb Street\t67843\tArbuckle\t51069\tCA\t52567\t52790\t384-584-3645\tB: 30,000 - 49,999\t1500\tLazar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1158\tRandal\tSmeed\tM\t1957\tmarried\t37 District Street\t34878\tTours\t52376\tCentre\t52573\t52779\t260-671-6752\tK: 250,000 - 299,999\t9000\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1159\tGarrett\tNappier\tM\t1945\tsingle\t17 Brunswick Court\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t519-651-2422\tG: 130,000 - 149,999\t5000\tNappier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1164\tRansom\tDowney\tM\t1962\tsingle\t37 Dona Ana Street\t76764\tAubervilliers\t51080\tIle-de-France\t52623\t52779\t506-394-4318\tK: 250,000 - 299,999\t15000\tDowney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1178\tRegina\tBaker\tF\t1970\tsingle\t37 Edge Water Street\t52602\tBlountstown\t51200\tFL\t52595\t52790\t414-426-1097\tH: 150,000 - 169,999\t1500\tBaker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1185\tReuben\tZanth\tM\t1936\tmarried\t37 Emanuel Street\t55176\tMadison\t51891\tVA\t52751\t52790\t395-262-5522\tB: 30,000 - 49,999\t1500\tZanth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1193\tRiley\tKindrid\tM\t1961\t\t37 Evans Street\t79690\tChieflake\t51325\tWI\t52760\t52790\t281-778-7281\tE: 90,000 - 109,999\t3000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1201\tRobin\tDunkin\tM\t1964\tmarried\t37 Federated States Street\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t522-647-8080\tF: 110,000 - 129,999\t5000\tDunkin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1221\tRosalind\tFerrin\tF\t1951\tmarried\t37 Garfield Street\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t101-531-1356\tG: 130,000 - 149,999\t5000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1246\tRupert\tJoseph\tM\t1960\tsingle\t37 Greene Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t656-622-8865\tF: 110,000 - 129,999\t3000\tJoseph@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1257\tSalisbury\tBanas\tF\t1949\t\t37 Gurabo Street\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t187-496-9758\tF: 110,000 - 129,999\t10000\tBanas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1259\tGerard\tRothrock\tM\t1956\tsingle\t17 Butler Court\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t304-415-4580\tI: 170,000 - 189,999\t9000\tRothrock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1261\tSammy\tBerry\tF\t1968\t\t37 Hamilton Street\t54845\tHaswell\t51651\tCO\t52569\t52790\t495-720-9551\tE: 90,000 - 109,999\t7000\tBerry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1275\tTasha\tSampson\tF\t1955\tmarried\t37 Hartford Street\t42528\tKnowles\t51733\tOK\t52689\t52790\t383-156-1253\tK: 250,000 - 299,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1280\tTess\tHanes\tF\t1979\t\t37 Hendricks Street\t37631\tCandler\t51310\tFL\t52595\t52790\t513-163-1560\tF: 110,000 - 129,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1291\tTheodosia\tKayden\tF\t1943\tmarried\t37 Hocking Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t489-700-4450\tC: 50,000 - 69,999\t1500\tKayden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1300\tThurlow\tLent\tM\t1934\t\t37 Hot Springs Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t420-593-8899\tD: 70,000 - 89,999\t7000\tLent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1309\tTitania\tBrooks\tF\t1941\tsingle\t37 Huntingdon Street\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t505-563-6198\tF: 110,000 - 129,999\t9000\tBrooks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1346\tUla\tLuna\tM\t1982\tsingle\t37 Kenton Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t440-350-6319\tH: 150,000 - 169,999\t3000\tLuna@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1383\tViola\tSandoval\tF\t1965\tsingle\t37 Lassen Street\t42408\tZeist\t52530\tUtrecht\t52750\t52770\t419-608-7243\tA: Below 30,000\t1500\tSandoval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1387\tWanda\tLindegreen\tF\t1967\t\t37 Lavaca Street\t41915\tLyngby\t51813\tCopenhagen\t52574\t52777\t585-574-3365\tF: 110,000 - 129,999\t7000\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1388\tWendy\tCox\tF\t1967\tmarried\t37 Lawrence Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t209-167-7778\tE: 90,000 - 109,999\t5000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1427\tYvette\tWagner\tM\t1966\t\t37 Manati Street\t85551\tGoodhope\t51587\tIL\t52619\t52790\t502-770-7307\tG: 130,000 - 149,999\t7000\tWagner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1439\tZenas\tElmore\tM\t1944\t\t37 Mason Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t227-648-9424\tE: 90,000 - 109,999\t3000\tElmore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1461\tAnnie\tKotzman\tF\t1974\t\t37 Mellette Street\t30211\tLyon\t51814\tRhtne-Alpes\t52711\t52779\t323-528-6090\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1463\tArchibald\tPatterson\tM\t1954\tsingle\t37 Meriwether Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t463-441-6758\tJ: 190,000 - 249,999\t11000\tPatterson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1464\tArmand\tEdison\tM\t1960\t\t37 Merrick Street\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t477-393-4546\tG: 130,000 - 149,999\t10000\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1466\tArno\tLinks\tM\t1939\tsingle\t37 Middlesex Street\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t401-746-7520\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1485\tBarnaby\tMalone\tM\t1950\tmarried\t37 Montague Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t446-508-9337\tF: 110,000 - 129,999\t1500\tMalone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1488\tBarry\tLauder\tM\t1949\tsingle\t37 Montgomery Street\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t237-429-3572\tH: 150,000 - 169,999\t7000\tLauder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1509\tBessie\tKruger\tF\t1956\tsingle\t37 Nassau Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t277-358-5215\tI: 170,000 - 189,999\t9000\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1510\tBetsy\tBarbee\tF\t1931\t\t37 Natchitoches Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t597-443-6585\tC: 50,000 - 69,999\t3000\tBarbee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1516\tBeverly\tRowe\tF\t1951\tsingle\t37 New York Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t617-679-5490\tI: 170,000 - 189,999\t9000\tRowe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1520\tBing\tBradley\tM\t1957\t\t37 Nobles Street\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t380-373-9352\tF: 110,000 - 129,999\t7000\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1523\tBlanche\tGladden\tM\t1954\t\t37 Nowata Street\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t518-268-3207\tF: 110,000 - 129,999\t10000\tGladden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1536\tGrover\tBraun\tM\t1938\t\t17 Caswell Court\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t356-438-7783\tB: 30,000 - 49,999\t1500\tBraun@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1558\tCaland\tLindegreen\tM\t1940\tsingle\t7 South Breathitt Circle\t46394\tPassau\t52104\tBayern\t52561\t52776\t646-616-8270\tB: 30,000 - 49,999\t1500\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1561\tByron\tDaley\tM\t1980\t\t37 Packard Street\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t334-379-3695\tG: 130,000 - 149,999\t7000\tDaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1566\tCalandra\tHaole\tM\t1949\tsingle\t37 Panola Street\t35909\tDordrecht\t51392\tZuid-Holland\t52771\t52770\t142-526-7172\tI: 170,000 - 189,999\t5000\tHaole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1581\tGuthrey\tCain\tM\t1970\tmarried\t17 Cayey Court\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t388-619-9417\tA: Below 30,000\t1500\tCain@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1586\tCary\tSnodgrass\tM\t1951\tsingle\t37 Pierce Street\t86721\tGaastra\t51570\tMI\t52654\t52790\t453-709-9754\tI: 170,000 - 189,999\t3000\tSnodgrass@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1591\tCharli\tCarson\tM\t1977\tmarried\t37 Placer Street\t38103\tRatingen\t52158\tNordrhein-Westfalen\t52684\t52776\t422-659-6335\tB: 30,000 - 49,999\t1500\tCarson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1597\tDeb\tCummings\tF\t1969\tsingle\t37 Polk Street\t60279\tCourneuve La\t51344\tIle-de-France\t52623\t52779\t321-487-9328\tH: 150,000 - 169,999\t10000\tCummings@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1598\tDebbie\tGrier\tF\t1969\tmarried\t37 Ponce Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t210-110-9542\tG: 130,000 - 149,999\t1500\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1603\tGwen\tIngersoll\tM\t1972\t\t17 Ceiba Court\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t122-228-7203\tE: 90,000 - 109,999\t10000\tIngersoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1620\tDinah\tKnalls\tF\t1958\tsingle\t37 Pueblo Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t452-663-8460\tI: 170,000 - 189,999\t7000\tKnalls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1640\tElmo\tFellows\tM\t1958\t\t37 Republic Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t451-472-8292\tC: 50,000 - 69,999\t7000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1647\tHal\tPinkston\tM\t1935\tmarried\t17 Chautauqua Court\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t695-244-6623\tD: 70,000 - 89,999\t5000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1649\tErrol\tOverman\tM\t1950\tsingle\t37 Riverside Street\t37281\tDanville\t51379\tMO\t52657\t52790\t294-159-8141\tG: 130,000 - 149,999\t9000\tOverman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1672\tFrankie\tNewman\tM\t1956\tmarried\t37 Sagadahoc Street\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t193-194-8900\tG: 130,000 - 149,999\t1500\tNewman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1681\tHalrlan\tWeatherford\tM\t1955\tsingle\t17 Cherokee Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t699-142-2275\tI: 170,000 - 189,999\t1500\tWeatherford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1694\tGeoffrey\tWan\tM\t1949\t\t37 San Sebastian Street\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t628-387-4671\tG: 130,000 - 149,999\t9000\tWan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1696\tGerard\tRothrock\tM\t1983\tsingle\t37 Sandoval Street\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t254-198-6875\tI: 170,000 - 189,999\t9000\tRothrock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1697\tGerhard\tLein\tM\t1952\tsingle\t37 Sangamon Street\t38763\tHaiku-Pauwela\t51645\tHI\t52615\t52790\t688-199-1674\tI: 170,000 - 189,999\t10000\tLein@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1709\tGlen\tChristian\tM\t1947\tsingle\t37 Scioto Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t511-148-6694\tG: 130,000 - 149,999\t11000\tChristian@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1745\tHarriett\tLassiter\tM\t1945\tsingle\t37 Stone Street\t60332\tEde\t51442\tGelderland\t52610\t52770\t642-510-8970\tF: 110,000 - 129,999\t3000\tLassiter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1777\tHolmes\tRokus\tM\t1938\tmarried\t37 Theatre Street\t46394\tPassau\t52104\tBayern\t52561\t52776\t633-643-3610\tE: 90,000 - 109,999\t1500\tRokus@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1778\tHolt\tIvey\tM\t1956\tsingle\t37 Tillamook Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t484-247-4672\tJ: 190,000 - 249,999\t11000\tIvey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1780\tCalbert\tCrabtree\tM\t1973\tmarried\t7 South Brevard Circle\t46394\tPassau\t52104\tBayern\t52561\t52776\t436-793-6222\tD: 70,000 - 89,999\t1500\tCrabtree@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1808\tIrma\tZiegler\tF\t1971\tsingle\t37 Valley Street\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t535-317-2755\tI: 170,000 - 189,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1810\tJack\tPeebles\tM\t1979\tsingle\t37 Vega Baja Street\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t353-544-5954\tH: 150,000 - 169,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1816\tJason\tLanston\tM\t1942\t\t37 Viginia Street\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t351-723-1581\tE: 90,000 - 109,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1820\tJuan\tRoss\tM\t1970\t\t37 Vinton Street\t40365\tTralee\t52379\tKerry\t52637\t52772\t429-576-1555\tG: 130,000 - 149,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1840\tLiane\tHaley\tF\t1976\t\t37 Watauga Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t600-759-3641\tC: 50,000 - 69,999\t7000\tHaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1845\tLinda\tWolf\tF\t1944\tsingle\t37 Wells Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t138-477-9298\tD: 70,000 - 89,999\t3000\tWolf@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1853\tLloyd\tGilmore\tM\t1946\t\t37 Whiteside Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t592-504-5297\tF: 110,000 - 129,999\t7000\tGilmore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1856\tLola\tEdwards\tM\t1956\t\t37 Wichita Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t558-386-5240\tF: 110,000 - 129,999\t10000\tEdwards@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1899\tMadelene\tBatterton\tF\t1969\tsingle\t37 East Adams Street\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t490-795-9756\tI: 170,000 - 189,999\t3000\tBatterton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1905\tMagda\tJames\tM\t1947\tmarried\t37 East Aitkin Street\t62826\tRyder\t52178\tND\t52665\t52790\t170-287-6023\tC: 50,000 - 69,999\t1500\tJames@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1913\tManvel\tPaintor\tM\t1973\t\t37 East Allamakee Street\t44811\tThomasville\t52366\tAL\t52534\t52790\t675-171-9568\tF: 110,000 - 129,999\t7000\tPaintor@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1920\tMarcus\tPettit\tM\t1960\t\t37 East Anderson Street\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t571-306-2674\tE: 90,000 - 109,999\t7000\tPettit@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1945\tMiles\tUnderhill\tM\t1956\tsingle\t37 East Bannock Street\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t513-438-2628\tB: 30,000 - 49,999\t3000\tUnderhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1953\tMorel\tBasket\tM\t1962\tsingle\t37 East Bath Street\t54845\tHaswell\t51651\tCO\t52569\t52790\t670-497-2159\tI: 170,000 - 189,999\t7000\tBasket@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1955\tMorley\tGlassman\tM\t1951\tsingle\t37 East Bay Street\t54845\tHaswell\t51651\tCO\t52569\t52790\t322-426-4226\tH: 150,000 - 169,999\t9000\tGlassman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1962\tMurray\tBarnett\tM\t1958\tsingle\t37 East Beachfront Street\t34197\tSkagway\t52314\tAK\t52533\t52790\t338-262-3186\tB: 30,000 - 49,999\t1500\tBarnett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1971\tNorma\tBerry\tM\t1963\tmarried\t37 East Belmont Street\t46150\tZandvoort\t52529\tNoord-Holland\t52683\t52770\t632-579-2284\tE: 90,000 - 109,999\t1500\tBerry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1974\tOctavia\tObrien\tM\t1947\tmarried\t37 East Benton Street\t71839\tKing's Lynn\t51729\tEngland - Norfolk\t52591\t52789\t505-550-4427\tC: 50,000 - 69,999\t5000\tObrien@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1986\tOriena\tNenninger\tF\t1964\t\t37 East Black Hawk Street\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t690-341-5030\tE: 90,000 - 109,999\t7000\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1993\tPam\tGilmour\tF\t1964\tsingle\t37 East Bolivar Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t462-195-8725\tL: 300,000 and above\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n1994\tPammie\tLusk\tF\t1977\tmarried\t37 East Bollinger Street\t78618\tBerea\t51180\tKY\t52632\t52790\t198-371-1167\tE: 90,000 - 109,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2010\tPersephone\tUmstatt\tM\t1960\tsingle\t37 East Breckinridge Street\t85268\tWellington\t52503\tWellington\t52766\t52785\t141-409-3020\tI: 170,000 - 189,999\t10000\tUmstatt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2015\tPetula\tLucy\tM\t1975\tsingle\t37 East Bronx Street\t56851\tBeemster\t51174\tNoord-Holland\t52683\t52770\t368-146-6104\tI: 170,000 - 189,999\t5000\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2030\tPsyche\tBeiers\tM\t1972\tsingle\t37 East Butte Street\t79032\tMolsheim\t51918\tAlsace\t52546\t52779\t515-737-8088\tI: 170,000 - 189,999\t10000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2060\tReba\tLamm\tF\t1959\t\t37 East Catoosa Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t120-343-3799\tD: 70,000 - 89,999\t7000\tLamm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2073\tReuben\tDade\tM\t1926\t\t37 East Cheshire Street\t88472\tTucumcari\t52381\tNM\t52671\t52790\t643-493-9116\tB: 30,000 - 49,999\t1500\tDade@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2074\tRex\tBardwell\tM\t1939\tmarried\t37 East Chester Street\t42408\tZeist\t52530\tUtrecht\t52750\t52770\t247-775-9957\tE: 90,000 - 109,999\t5000\tBardwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2075\tRexford\tMannings\tM\t1948\tsingle\t37 East Chesterfield Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t667-751-5734\tF: 110,000 - 129,999\t9000\tMannings@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2088\tRobiaaa\tGreenley\tM\t1944\tsingle\t37 East Clark Street\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t121-773-1856\tF: 110,000 - 129,999\t9000\tGreenley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2098\tRollin\tCox\tM\t1972\tsingle\t37 East Coamo Street\t83264\tSchiphol\t52298\tNoord-Holland\t52683\t52770\t231-730-8049\tD: 70,000 - 89,999\t3000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2125\tRoyce\tHandsome\tF\t1949\tsingle\t37 East Cumberland Street\t84136\tGarenne-Colombes La\t51573\tIle-de-France\t52623\t52779\t681-229-2157\tH: 150,000 - 169,999\t3000\tHandsome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2132\tRue\tSullivan\tM\t1947\tmarried\t37 East Dale Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t401-356-2088\tE: 90,000 - 109,999\t1500\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2134\tRufus\tNance\tM\t1952\tsingle\t37 East Dare Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t252-568-9796\tH: 150,000 - 169,999\t7000\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2140\tSabina\tHaarper\tF\t1941\tsingle\t37 East De Baca Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t271-346-7680\tD: 70,000 - 89,999\t3000\tHaarper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2141\tSabrina\tPack\tF\t1949\tsingle\t37 East De Kalb Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t386-122-7299\tI: 170,000 - 189,999\t9000\tPack@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2142\tSada\tSalem\tM\t1974\tsingle\t37 East De Las Pul Ges Street\t35348\tFoxborough\t51516\tMA\t52649\t52790\t183-184-9655\tI: 170,000 - 189,999\t5000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2146\tSalisbury\tMulholland\tF\t1948\tsingle\t37 East Deer Lodge Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t298-629-1765\tF: 110,000 - 129,999\t3000\tMulholland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2155\tTamara\tBaum\tM\t1974\tsingle\t37 East Dickenson Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t196-447-4446\tH: 150,000 - 169,999\t5000\tBaum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2171\tThacher\tRudder\tM\t1973\t\t37 East Dorchester Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t207-319-6872\tJ: 190,000 - 249,999\t15000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2176\tThayer\tRobey\tM\t1951\tsingle\t37 East Dunn Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t597-642-5612\tI: 170,000 - 189,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2185\tTheron\tCalahan\tM\t1946\tmarried\t37 East Emanuel Street\t43496\tCap d'Antibes, Le\t51313\tProvence-Alpes-Cote d'Azur\t52701\t52779\t555-372-9008\tB: 30,000 - 49,999\t1500\tCalahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2198\tTitania\tFeathers\tF\t1941\tmarried\t37 East Faulk Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t584-283-9014\tF: 110,000 - 129,999\t1500\tFeathers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2199\tTitus\tLauder\tM\t1938\tsingle\t37 East Faulkner Street\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t165-707-7927\tD: 70,000 - 89,999\t3000\tLauder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2206\tTolman\tHagan\tM\t1985\tsingle\t37 East Floyd Street\t84434\tBourges\t51210\tCentre\t52573\t52779\t145-365-8242\tG: 130,000 - 149,999\t3000\tHagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2251\tValdis\tFinch\tM\t1943\t\t37 East Grundy Street\t45704\tMackville\t51890\tKY\t52632\t52790\t341-286-5061\tD: 70,000 - 89,999\t10000\tFinch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2266\tVerna\tElkin\tF\t1948\tsingle\t37 East Harbor Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t236-429-7252\tH: 150,000 - 169,999\t5000\tElkin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2269\tVictoria\tChen\tF\t1959\tsingle\t37 East Hardy Street\t66798\tAllport\t51055\tAR\t52540\t52790\t409-260-4133\tK: 250,000 - 299,999\t11000\tChen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2270\tIlka\tKirk\tM\t1980\t\t17 Cuyahoga Court\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t484-404-8866\tG: 130,000 - 149,999\t10000\tKirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2271\tVida\tBane\tF\t1958\t\t37 East Harlan Street\t82654\tBonn\t51207\tNordrhein-Westfalen\t52684\t52776\t546-344-6374\tC: 50,000 - 69,999\t3000\tBane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2289\tWinthrop\tGerber\tM\t1949\tsingle\t37 East Hillside Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t539-414-9802\tH: 150,000 - 169,999\t11000\tGerber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2305\tXanthe\tMurphy\tM\t1945\tmarried\t37 East Hudson Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t264-281-1853\tE: 90,000 - 109,999\t1500\tMurphy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2312\tYola\tLinsicome\tF\t1962\tsingle\t37 East Idaho Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t524-691-8756\tF: 110,000 - 129,999\t3000\tLinsicome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2315\tYuri\tCallihan\tM\t1961\tmarried\t37 East Information Street\t87836\tChesterfield\t51324\tIL\t52619\t52790\t294-794-3809\tL: 300,000 and above\t7000\tCallihan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2321\tZandra\tBarron\tF\t1962\tmarried\t37 East Isabella Street\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t314-107-3408\tD: 70,000 - 89,999\t5000\tBarron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2324\tZebulon\tTrent\tM\t1945\tmarried\t37 East Itasca Street\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t109-234-3751\tA: Below 30,000\t1500\tTrent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2342\tAbsolom\tEastwood\tM\t1951\tmarried\t37 East Kendall Street\t37281\tDanville\t51379\tMO\t52657\t52790\t367-771-6232\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2361\tAuburn\tOverman\tM\t1958\t\t37 East La Jolla Street\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t551-459-2177\tG: 130,000 - 149,999\t7000\tOverman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2365\tAzalea\tJanney\tM\t1971\tmarried\t37 East La Salle Street\t86990\tVictoria\t52440\tKS\t52630\t52790\t350-499-4703\tE: 90,000 - 109,999\t1500\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2368\tBabs\tWoodman\tM\t1968\tmarried\t37 East Lagoon Street\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t516-656-2176\tF: 110,000 - 129,999\t5000\tWoodman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2381\tIrma\tZiegler\tF\t1955\tsingle\t17 De Las Pul Ges Court\t31685\tSyracuse\t52336\tNE\t52666\t52790\t488-737-4073\tI: 170,000 - 189,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2383\tBeatrice\tNewman\tF\t1957\tsingle\t37 East Lassen Street\t54148\tMaastricht\t51889\tLimburg\t52646\t52770\t695-756-8813\tA: Below 30,000\t1500\tNewman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2390\tBenjamin\tYarborough\tM\t1937\t\t37 East Lee Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t447-689-1511\tB: 30,000 - 49,999\t1500\tYarborough@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2412\tBlanche\tLease\tM\t1945\tsingle\t37 East Luquillo Street\t77862\tMarum\t51903\tGroningen\t52612\t52770\t605-767-2476\tF: 110,000 - 129,999\t3000\tLease@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2425\tJacob\tLessman\tM\t1984\tsingle\t17 Deer Lodge Court\t83786\tNagoya\t51971\tAichi\t52543\t52782\t126-496-6383\tF: 110,000 - 129,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2428\tBrady\tLadd\tM\t1977\tmarried\t37 East Marathon Street\t34646\tGirona\t51582\tGirona\t52611\t52778\t220-417-8240\tG: 130,000 - 149,999\t5000\tLadd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2452\tCaesar\tGutierrez\tM\t1952\tsingle\t37 East Mckinley Street\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t469-434-1064\tI: 170,000 - 189,999\t1500\tGutierrez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2455\tCalandra\tAllis\tM\t1952\tsingle\t37 East Mcpherson Street\t89834\tBeverwijk\t51186\tNoord-Holland\t52683\t52770\t586-786-9797\tI: 170,000 - 189,999\t5000\tAllis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2462\tCandace\tEubank\tM\t1964\tmarried\t37 East Mercer Street\t88666\tMiddelburg\t51912\tZeeland\t52770\t52770\t291-115-7419\tF: 110,000 - 129,999\t5000\tEubank@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2519\tDora\tZiegler\tF\t1973\t\t37 East Noble Street\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t592-468-5668\tE: 90,000 - 109,999\t3000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2527\tEmmet\tLanston\tM\t1962\t\t37 East Obion Street\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t289-640-5231\tE: 90,000 - 109,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2533\tErasmus\tPhillips\tM\t1947\t\t37 East Ohio Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t139-585-7608\tF: 110,000 - 129,999\t7000\tPhillips@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2557\tFrancisco\tColter\tM\t1951\tmarried\t37 East Ozaukee Street\t68975\tBuckley\t51222\tWA\t52757\t52790\t526-753-3047\tE: 90,000 - 109,999\t1500\tColter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2562\tFranklin\tGraham\tM\t1976\tmarried\t37 East Page Street\t52602\tBlountstown\t51200\tFL\t52595\t52790\t327-204-1215\tK: 250,000 - 299,999\t7000\tGraham@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2566\tFredie\tWensel\tM\t1951\tsingle\t37 East Panola Street\t43095\tRenesse\t52163\tZeeland\t52770\t52770\t307-217-6004\tI: 170,000 - 189,999\t3000\tWensel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2581\tLeona\tHales\tF\t1981\tmarried\t17 Dodge Court\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t353-264-8946\tF: 110,000 - 129,999\t5000\tHales@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2613\tGuido\tNovak\tM\t1973\t\t37 East Prentiss Street\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t684-310-4220\tF: 110,000 - 129,999\t7000\tNovak@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2615\tGump\tKindrid\tM\t1953\tmarried\t37 East Preston Street\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t587-168-4495\tJ: 190,000 - 249,999\t7000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2624\tHaland\tPaintor\tM\t1975\tmarried\t37 East Queens Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t159-347-5827\tC: 50,000 - 69,999\t1500\tPaintor@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2629\tHannah\tFeldman\tF\t1935\tsingle\t37 East Ramsey Street\t40696\tAtwood\t51079\tKS\t52630\t52790\t620-130-2617\tB: 30,000 - 49,999\t1500\tFeldman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2632\tHarold\tLu\tM\t1985\tsingle\t37 East Rappahannock Street\t48677\tDornstadt\t51393\tBaden-Wuerttemberg\t52559\t52776\t588-361-8229\tH: 150,000 - 169,999\t3000\tLu@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2633\tHarrie\tGibb\tM\t1934\t\t37 East Ravalli Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t685-271-8893\tD: 70,000 - 89,999\t7000\tGibb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2641\tHaywood\tMumm\tM\t1978\tmarried\t37 East Rhea Street\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t509-298-5871\tC: 50,000 - 69,999\t5000\tMumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2643\tHeather\tFerrin\tF\t1952\t\t37 East Richland Street\t74050\tGlennie\t51584\tMI\t52654\t52790\t434-410-3036\tD: 70,000 - 89,999\t10000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2653\tHenry\tVail\tM\t1958\t\t37 East Robertson Street\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t243-650-4439\tE: 90,000 - 109,999\t7000\tVail@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2684\tIdola\tTavener\tF\t1973\t\t37 East Saluda Street\t32099\tClifden\t51331\tGalway\t52608\t52772\t653-533-2927\tF: 110,000 - 129,999\t10000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2689\tIna\tValdez\tF\t1950\tsingle\t37 East San Jacinto Street\t87100\tCuritiba\t51347\tParana\t52698\t52775\t250-380-8302\tH: 150,000 - 169,999\t9000\tValdez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2693\tInga\tAaron\tM\t1946\tsingle\t37 East San Miguel Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t658-738-3670\tG: 130,000 - 149,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2701\tJacob\tWiley\tM\t1971\tmarried\t37 East Santa Fe Street\t85268\tWellington\t52503\tWellington\t52766\t52785\t554-467-6417\tF: 110,000 - 129,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2704\tJamilah\tKoch\tF\t1922\t\t37 East Sarasota Street\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t698-165-2669\tA: Below 30,000\t1500\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2711\tLeandra\tCarr\tM\t1981\tmarried\t37 East Scotts Bluff Street\t35679\tCoburg\t51335\tBayern\t52561\t52776\t240-547-8819\tF: 110,000 - 129,999\t1500\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2714\tLibby\tKeiner\tF\t1945\tmarried\t17 Dubuque Court\t45704\tMackville\t51890\tKY\t52632\t52790\t260-560-2682\tE: 90,000 - 109,999\t5000\tKeiner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2735\tLindsay\tCapp\tF\t1933\t\t37 East St. Lucia Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t232-223-3933\tC: 50,000 - 69,999\t9000\tCapp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2755\tLou\tGreene\tM\t1946\tsingle\t37 East Sunset Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t181-765-2951\tF: 110,000 - 129,999\t9000\tGreene@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2767\tLucy\tLuna\tF\t1950\tmarried\t37 East Tangipahoa Street\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t103-714-5204\tD: 70,000 - 89,999\t5000\tLuna@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2780\tCara\tTucker\tF\t1945\tmarried\t7 South Bucks Circle\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t273-690-4699\tD: 70,000 - 89,999\t5000\tTucker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2797\tMalcom\tChalmers\tM\t1950\t\t37 East Tuscaloosa Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t401-404-9091\tG: 130,000 - 149,999\t10000\tChalmers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2798\tMallory\tBaer\tM\t1950\tmarried\t37 East Tuscarawas Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t332-160-6379\tE: 90,000 - 109,999\t1500\tBaer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2805\tMara\tSandoval\tF\t1946\tmarried\t37 East Upshur Street\t59061\tSanibel\t52292\tFL\t52595\t52790\t271-266-8956\tG: 130,000 - 149,999\t3000\tSandoval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2809\tMarcus\tLindegreen\tM\t1965\t\t37 East Vega Alta Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t674-239-9443\tE: 90,000 - 109,999\t9000\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2824\tMaxwell\tKelley\tM\t1955\tmarried\t37 East Wadena Street\t62706\tAntony\t51067\tIle-de-France\t52623\t52779\t208-374-2216\tK: 250,000 - 299,999\t9000\tKelley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2844\tMorley\tNance\tM\t1951\tsingle\t37 East Weld Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t287-704-7724\tH: 150,000 - 169,999\t1500\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2848\tMorton\tChang\tM\t1973\tmarried\t37 East Wharton Street\t50840\tWarsaw\t52496\tWarsaw\t52765\t52786\t651-108-7718\tC: 50,000 - 69,999\t5000\tChang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2888\tPatricia\tSampler\tF\t1946\t\t37 East Yosemite Street\t47545\tSmyrna\t52317\tNY\t52679\t52790\t228-556-1971\tE: 90,000 - 109,999\t9000\tSampler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2890\tPaula\tTien\tF\t1974\tmarried\t37 East Yukon Koyukuk Street\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t334-303-6851\tE: 90,000 - 109,999\t1500\tTien@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2892\tLolita\tKaden\tF\t1981\t\t17 Evans Court\t66798\tAllport\t51055\tAR\t52540\t52790\t358-481-6887\tE: 90,000 - 109,999\t3000\tKaden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2893\tPaulette\tFiggens\tF\t1954\tsingle\t37 East Zapata Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t426-233-9636\tB: 30,000 - 49,999\t3000\tFiggens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2894\tPauline\tCurr\tF\t1974\t\t37 West 3rd Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t244-613-3350\tG: 130,000 - 149,999\t7000\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2897\tPeony\tLyles\tM\t1966\t\t37 West Accomack Street\t84434\tBourges\t51210\tCentre\t52573\t52779\t142-551-4092\tG: 130,000 - 149,999\t10000\tLyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2901\tPete\tCartwright\tM\t1953\tsingle\t37 West Aibonito Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t500-350-1333\tH: 150,000 - 169,999\t5000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2905\tPhil\tBall\tM\t1975\tmarried\t37 West Aitkin Street\t69084\tAtkinson\t51077\tNE\t52666\t52790\t362-257-9402\tC: 50,000 - 69,999\t1500\tBall@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2918\tPrudence\tAbbey\tM\t1979\tsingle\t37 West Amite Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t162-122-1902\tI: 170,000 - 189,999\t1500\tAbbey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2934\tRana\tStock\tF\t1954\tsingle\t37 West Atlanta Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t409-112-7581\tH: 150,000 - 169,999\t5000\tStock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2948\tReagan\tHammill\tM\t1957\tmarried\t37 West Barceloneta Street\t45704\tMackville\t51890\tKY\t52632\t52790\t442-319-8482\tJ: 190,000 - 249,999\t7000\tHammill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n2968\tRichmond\tBarren\tM\t1944\tsingle\t37 West Bee Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t191-192-4063\tF: 110,000 - 129,999\t9000\tBarren@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2976\tRoberta\tElkin\tM\t1954\t\t37 West Bergen Street\t71939\tMeppen\t51909\tNiedersachsen\t52681\t52776\t163-707-8473\tD: 70,000 - 89,999\t10000\tElkin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3006\tRosemary\tNickols\tF\t1960\tsingle\t37 West Braxton Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t242-226-2493\tK: 250,000 - 299,999\t11000\tNickols@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3011\tRoy\tKidwell\tM\t1932\tmarried\t37 West Brevard Street\t89000\tWadsworth\t52491\tNV\t52678\t52790\t536-299-1565\tD: 70,000 - 89,999\t1500\tKidwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3014\tLuana\tLucas\tF\t1947\tmarried\t17 Florida Court\t32945\tEl Campello\t51445\tAlicante\t52544\t52778\t592-583-8498\tG: 130,000 - 149,999\t3000\tLucas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3017\tRuby\tVesper\tF\t1963\t\t37 West Broome Street\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t222-450-6397\tF: 110,000 - 129,999\t10000\tVesper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3026\tRutherford\tCallihan\tM\t1981\tsingle\t37 West Butterfly Street\t75917\tMolino\t51917\tFL\t52595\t52790\t551-150-6396\tG: 130,000 - 149,999\t3000\tCallihan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3075\tThomas\tJanney\tM\t1945\tsingle\t37 West Chesterfield Street\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t290-373-6936\tF: 110,000 - 129,999\t9000\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3078\tThurston\tWoodman\tM\t1974\tsingle\t37 West Chickasaw Street\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t174-268-4058\tF: 110,000 - 129,999\t3000\tWoodman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3079\tTiffany\tHatcher\tF\t1969\t\t37 West Chippewa Street\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t566-558-3853\tF: 110,000 - 129,999\t7000\tHatcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3084\tTina\tWilmoth\tF\t1934\tmarried\t37 West Cidra Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t372-654-4288\tC: 50,000 - 69,999\t1500\tWilmoth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3085\tTirrell\tButtler\tM\t1933\t\t37 West Clackamas Street\t61189\tEvinston\t51459\tFL\t52595\t52790\t313-289-6247\tC: 50,000 - 69,999\t3000\tButtler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3099\tTownsend\tWhitehead\tM\t1979\t\t37 West Coffee Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t378-127-6915\tF: 110,000 - 129,999\t7000\tWhitehead@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3103\tTravers\tFaimon\tM\t1976\tsingle\t37 West Coleman Street\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t331-153-2061\tI: 170,000 - 189,999\t10000\tFaimon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3106\tTrent\tLauers\tM\t1964\t\t37 West Columbia Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t486-503-7012\tE: 90,000 - 109,999\t7000\tLauers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3108\tTricia\tBarry\tF\t1944\tsingle\t37 West Concordia Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t633-213-5603\tF: 110,000 - 129,999\t9000\tBarry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3127\tUlysses\tOddell\tM\t1925\t\t37 West Currituck Street\t74673\tDuncan\t51402\tSC\t52722\t52790\t291-399-2100\tC: 50,000 - 69,999\t9000\tOddell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3141\tValentina\tGottlieb\tF\t1958\tsingle\t37 West De Las Pul Ges Street\t70457\tNorman\t51986\tOK\t52689\t52790\t353-709-4598\tI: 170,000 - 189,999\t5000\tGottlieb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3152\tVeda\tIngersoll\tM\t1964\tsingle\t37 West Desha Street\t45397\tBielefeld\t51188\tNordrhein-Westfalen\t52684\t52776\t360-487-2203\tH: 150,000 - 169,999\t3000\tIngersoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3156\tVicky\tPinkston\tF\t1965\tsingle\t37 West Dickson Street\t30000\tRio de Janeiro\t52167\tRio de Janeiro\t52713\t52775\t573-187-3465\tH: 150,000 - 169,999\t10000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3165\tWendy\tAllis\tF\t1979\t\t37 West Donna Pass Street\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t147-787-9217\tE: 90,000 - 109,999\t3000\tAllis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3172\tWilson\tEubank\tM\t1953\tsingle\t37 West Drew Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t358-733-3515\tA: Below 30,000\t1500\tEubank@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3180\tLynn\tGoode\tM\t1972\tmarried\t17 Garfield Court\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t625-796-5766\tG: 130,000 - 149,999\t5000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3181\tWoodrow\tTanney\tM\t1943\tmarried\t37 West Elkhart Street\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t395-355-4742\tC: 50,000 - 69,999\t5000\tTanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3182\tWoodward\tEmit\tM\t1948\tsingle\t37 West Ellizabeth Street\t48346\tNoma\t51985\tFL\t52595\t52790\t676-615-3228\tI: 170,000 - 189,999\t11000\tEmit@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3183\tWorden\tKane\tM\t1946\t\t37 West Ellis Street\t48346\tNoma\t51985\tFL\t52595\t52790\t373-507-1305\tF: 110,000 - 129,999\t10000\tKane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3192\tWynnee\tCarpenter\tM\t1982\t\t37 West Evans Street\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t289-200-2612\tE: 90,000 - 109,999\t3000\tCarpenter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3197\tXylon\tGregory\tM\t1976\tmarried\t37 West Faulk Street\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t522-717-9710\tF: 110,000 - 129,999\t1500\tGregory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3198\tYardley\tEdmond\tM\t1933\tsingle\t37 West Faulkner Street\t63507\tErding\t51454\tBayern\t52561\t52776\t139-713-2902\tD: 70,000 - 89,999\t3000\tEdmond@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3210\tZaneta\tMullins\tM\t1955\tmarried\t37 West Franklin Street\t43505\tValencia\t52430\tValencia\t52755\t52778\t538-338-6642\tF: 110,000 - 129,999\t1500\tMullins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3211\tZebedee\tBanfield\tM\t1930\tsingle\t37 West Frederick Street\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t213-758-1508\tD: 70,000 - 89,999\t3000\tBanfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3223\tZylina\tLattimer\tF\t1940\tmarried\t37 West Gaston Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t590-505-6274\tE: 90,000 - 109,999\t1500\tLattimer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3260\tBaird\tPatrick\tM\t1932\tsingle\t37 West Gwinnett Street\t35402\tHamburg\t51648\tHamburg\t52616\t52776\t166-479-9442\tA: Below 30,000\t1500\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3261\tBaldwin\tLife\tM\t1937\t\t37 West Hamilton Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t352-697-7770\tE: 90,000 - 109,999\t7000\tLife@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3266\tBarry\tIngram\tM\t1950\tsingle\t37 West Harbor Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t482-375-4121\tH: 150,000 - 169,999\t3000\tIngram@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3275\tBelinda\tDunlop\tF\t1977\tmarried\t37 West Hartford Street\t55526\tAlma\t51056\tAR\t52540\t52790\t507-653-4681\tK: 250,000 - 299,999\t7000\tDunlop@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3290\tBette\tXie\tF\t1967\t\t37 West Hinds Street\t80371\tHalle\t51647\tSachsen-Anhalt\t52732\t52776\t159-693-9092\tD: 70,000 - 89,999\t10000\tXie@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3291\tBetty\tSmeed\tF\t1928\tmarried\t37 West Hocking Street\t33415\tPala\t52101\tCA\t52567\t52790\t417-315-9348\tC: 50,000 - 69,999\t3000\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3301\tBlanche\tBarden\tM\t1964\tmarried\t37 West Houston Street\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t649-510-4539\tF: 110,000 - 129,999\t5000\tBarden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3310\tBonnibelle\tGoode\tM\t1977\t\t37 West Huron Street\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t458-203-5862\tD: 70,000 - 89,999\t10000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3325\tMadra\tNovak\tM\t1962\tsingle\t17 Grady Court\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t480-229-9093\tH: 150,000 - 169,999\t9000\tNovak@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3376\tDebbie\tBasket\tF\t1981\tsingle\t37 West Lancaster Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t473-576-3823\tG: 130,000 - 149,999\t9000\tBasket@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3377\tDeborah\tStocks\tF\t1950\tsingle\t37 West Larimer Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t240-725-6628\tH: 150,000 - 169,999\t10000\tStocks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3382\tDelia\tLittleton\tF\t1972\tmarried\t37 West Las Vegas Street\t32264\tCorwith\t51341\tIA\t52618\t52790\t151-677-3648\tC: 50,000 - 69,999\t5000\tLittleton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3385\tDelora\tBarnett\tF\t1947\tmarried\t37 West Laurel Street\t53500\tMagdeburg\t51892\tSachsen-Anhalt\t52732\t52776\t209-261-7516\tG: 130,000 - 149,999\t3000\tBarnett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3389\tDenice\tAlex\tM\t1944\tsingle\t37 West Lebanon Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t637-715-5218\tF: 110,000 - 129,999\t9000\tAlex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3394\tDevona\tBerry\tF\t1940\t\t37 West Lenawee Street\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t578-288-3454\tD: 70,000 - 89,999\t7000\tBerry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3400\tDione\tValdez\tF\t1946\tsingle\t37 West Linn Street\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t567-463-4652\tH: 150,000 - 169,999\t9000\tValdez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3401\tDisa\tLovett\tF\t1969\tmarried\t37 West Litchfield Street\t49828\tOxford, NJ\t52042\tNJ\t52670\t52790\t232-477-6207\tD: 70,000 - 89,999\t5000\tLovett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3414\tMandisa\tManuel\tF\t1954\tsingle\t17 Grayson Court\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t590-568-2346\tH: 150,000 - 169,999\t1500\tManuel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3416\tEmmet\tGilmour\tM\t1959\t\t37 West Lyman Street\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t263-772-8142\tE: 90,000 - 109,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3432\tEvan\tUmstatt\tF\t1960\tsingle\t37 West Marinette Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t317-182-4689\tD: 70,000 - 89,999\t3000\tUmstatt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3436\tManvel\tPaintor\tM\t1949\t\t17 Greenup Court\t36598\tBaltimore\t51161\tCork\t52575\t52772\t327-752-8865\tF: 110,000 - 129,999\t7000\tPaintor@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3446\tFrancisco\tCapp\tM\t1944\t\t37 West Mcdowell Street\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t652-400-9067\tE: 90,000 - 109,999\t7000\tCapp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3447\tCarrol\tBacon\tF\t1950\tmarried\t7 South Bush Circle\t48346\tNoma\t51985\tFL\t52595\t52790\t148-462-5799\tD: 70,000 - 89,999\t5000\tBacon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3448\tManvil\tLavin\tM\t1952\tmarried\t17 Greenwood Court\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t399-388-5854\tG: 130,000 - 149,999\t5000\tLavin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3450\tFrankie\tUtterback\tM\t1950\tsingle\t37 West Mcintosh Street\t34427\tGalway City\t51571\tGalway\t52608\t52772\t623-207-9009\tG: 130,000 - 149,999\t9000\tUtterback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3464\tGarrett\tManson\tM\t1949\t\t37 West Merrick Street\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t332-651-2747\tG: 130,000 - 149,999\t15000\tManson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3473\tGerald\tLiue\tM\t1981\tsingle\t37 West Milwaukee Street\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t183-687-1145\tD: 70,000 - 89,999\t3000\tLiue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3488\tGlenn\tKendall\tM\t1970\tsingle\t37 West Montgomery Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t182-145-7810\tH: 150,000 - 169,999\t5000\tKendall@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3506\tGuthrey\tYates\tM\t1927\tsingle\t37 West Naguabo Street\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t277-619-7618\tA: Below 30,000\t1500\tYates@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3513\tHaland\tVue\tM\t1941\t\t37 West New Haven Street\t64078\tCap-d'Agde, Le\t51314\tLanguedoc-Roussillon\t52645\t52779\t651-223-4101\tC: 50,000 - 69,999\t7000\tVue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3518\tHannah\tLee\tF\t1943\tmarried\t37 West Newton Street\t68382\tMarseille\t51901\tProvence-Alpes-Cote d'Azur\t52701\t52779\t527-262-2101\tB: 30,000 - 49,999\t1500\tLee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3554\tHolman\tKlesser\tM\t1973\tmarried\t37 West Owen Street\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t228-531-1755\tG: 130,000 - 149,999\t5000\tKlesser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3562\tHope\tHaarper\tM\t1960\tmarried\t37 West Page Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t111-711-6795\tK: 250,000 - 299,999\t7000\tHaarper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3571\tIda\tMarker\tF\t1972\tsingle\t37 West Pasco Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t362-146-1607\tI: 170,000 - 189,999\t10000\tMarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3579\tInes\tReid\tM\t1966\tsingle\t37 West Perkins Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t337-622-9064\tF: 110,000 - 129,999\t3000\tReid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3581\tMarvin\tRitch\tM\t1963\tmarried\t17 Hampden Court\t75917\tMolino\t51917\tFL\t52595\t52790\t630-391-9551\tE: 90,000 - 109,999\t5000\tRitch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3587\tIsabel\tBaley\tF\t1944\t\t37 West Pike Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t371-239-8462\tE: 90,000 - 109,999\t7000\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3594\tJason\tKotzman\tM\t1972\t\t37 West Plymouth Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t321-720-7399\tE: 90,000 - 109,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3597\tJoshie\tEdison\tM\t1967\tsingle\t37 West Polk Street\t69084\tAtkinson\t51077\tNE\t52666\t52790\t236-449-9445\tH: 150,000 - 169,999\t10000\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3605\tLeonore\tCurr\tM\t1973\tmarried\t37 West Pottawatomie Street\t83786\tNagoya\t51971\tAichi\t52543\t52782\t146-191-8137\tA: Below 30,000\t1500\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3613\tLetty\tThompson\tM\t1942\t\t37 West Prentiss Street\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t442-163-4697\tF: 110,000 - 129,999\t7000\tThompson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3645\tLoui\tStock\tM\t1942\tsingle\t37 West Riley Street\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t294-193-8727\tF: 110,000 - 129,999\t3000\tStock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3649\tLuana\tRowe\tF\t1967\tsingle\t37 West Riverside Street\t54725\tBochum\t51202\tNordrhein-Westfalen\t52684\t52776\t577-583-6580\tG: 130,000 - 149,999\t9000\tRowe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3658\tMaxwell\tJessup\tM\t1958\tsingle\t17 Hardy Court\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t487-421-6602\tK: 250,000 - 299,999\t11000\tJessup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3662\tLylybel\tLondon\tM\t1957\t\t37 West Rowan Street\t90517\tMuenster\t51929\tNordrhein-Westfalen\t52684\t52776\t246-169-4956\tE: 90,000 - 109,999\t9000\tLondon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3680\tMadra\tBarren\tM\t1946\tsingle\t37 West Salinas Street\t43134\tFreiburg\t51521\tBaden-Wuerttemberg\t52559\t52776\t169-229-1018\tH: 150,000 - 169,999\t9000\tBarren@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3683\tMagda\tPierce\tM\t1980\t\t37 West Salt Lake Street\t64639\tNice\t51982\tProvence-Alpes-Cote d'Azur\t52701\t52779\t222-257-9313\tC: 50,000 - 69,999\t9000\tPierce@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3694\tMara\tDaley\tF\t1955\t\t37 West San Sebastian Street\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t688-741-4656\tG: 130,000 - 149,999\t7000\tDaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3705\tMarvel\tKohler\tM\t1945\tmarried\t37 West Saratoga Street\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t568-736-2080\tE: 90,000 - 109,999\t1500\tKohler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3723\tMiles\tNess\tM\t1939\t\t37 West Sheridan Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t112-582-5973\tB: 30,000 - 49,999\t1500\tNess@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3732\tMorgan\tHale\tM\t1955\t\t37 West Sonoma Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t167-605-6843\tC: 50,000 - 69,999\t3000\tHale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3734\tMorris\tLinsicome\tM\t1941\tmarried\t37 West Spokane Street\t81319\tBarre\t51165\tMA\t52649\t52790\t582-174-9277\tD: 70,000 - 89,999\t5000\tLinsicome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3735\tMortimer\tReed\tM\t1943\t\t37 West St. Lucia Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t381-566-8228\tC: 50,000 - 69,999\t9000\tReed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3740\tMurray\tBurnns\tM\t1957\t\t37 West Stark Street\t77501\tLowndesville\t51807\tSC\t52722\t52790\t390-372-3395\tB: 30,000 - 49,999\t1500\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3767\tOriole\tEppling\tF\t1966\tmarried\t37 West Tangipahoa Street\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t665-798-1217\tD: 70,000 - 89,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3770\tPage\tAtkins\tM\t1980\tsingle\t37 West Tazewell Street\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t475-486-9487\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3785\tPenelope\tAldridge\tM\t1952\tsingle\t37 West Tom Green Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t226-586-5003\tI: 170,000 - 189,999\t1500\tAldridge@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3788\tPersephone\tHaske\tM\t1956\tsingle\t37 West Towner Street\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t389-494-9384\tI: 170,000 - 189,999\t5000\tHaske@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3791\tPeter\tHatcher\tM\t1966\tsingle\t37 West Trigg Street\t49913\tDresden\t51397\tSachsen\t52731\t52776\t126-291-2433\tH: 150,000 - 169,999\t1500\tHatcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3793\tPetula\tSagan\tM\t1985\tsingle\t37 West Trinity Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t291-116-2602\tI: 170,000 - 189,999\t3000\tSagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3803\tMitch\tFerris\tM\t1931\t\t17 Hewlet Court\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t498-224-6116\tA: Below 30,000\t1500\tFerris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3832\tRawdon\tFernandez\tM\t1969\t\t37 West Ware Street\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t517-657-2288\tE: 90,000 - 109,999\t3000\tFernandez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3837\tReagan\tEllis\tM\t1971\t\t37 West Washakie Street\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t600-517-4168\tJ: 190,000 - 249,999\t15000\tEllis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3840\tRebecca\tMahood\tF\t1974\t\t37 West Watauga Street\t48557\tAladdin\t51048\tWY\t52763\t52790\t414-279-7142\tC: 50,000 - 69,999\t7000\tMahood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3869\tMorris\tJoseph\tM\t1934\t\t17 Hinds Court\t60874\tElche\t51448\tAlicante\t52544\t52778\t136-174-1495\tD: 70,000 - 89,999\t10000\tJoseph@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3870\tRoderica\tAustin\tM\t1985\tsingle\t37 West Woodside Street\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t127-794-9787\tL: 300,000 and above\t15000\tAustin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3899\tRoxanne\tMotion\tM\t1953\tsingle\t37 North Adams Street\t57631\tBalk\t51160\tFriesland\t52600\t52770\t466-526-2213\tI: 170,000 - 189,999\t3000\tMotion@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3907\tRudolph\tPaige\tM\t1971\t\t37 North Alameda Street\t67843\tArbuckle\t51069\tCA\t52567\t52790\t630-284-2063\tJ: 190,000 - 249,999\t9000\tPaige@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3923\tSalisbury\tBanfield\tF\t1939\t\t37 North Apache Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t324-656-9724\tF: 110,000 - 129,999\t10000\tBanfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3935\tTanya\tLattimer\tF\t1985\t\t37 North Atlantic Street\t88512\tBlackrock\t51196\tDublin\t52580\t52772\t136-157-8285\tK: 250,000 - 299,999\t11000\tLattimer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3955\tTheodore\tPhillips\tF\t1986\tsingle\t37 North Bay Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t159-686-2526\tH: 150,000 - 169,999\t9000\tPhillips@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3959\tTheodric\tReady\tM\t1938\t\t37 North Bayside Street\t33626\tIstanbul\t51683\tIstanbul\t52624\t52788\t338-355-6176\tC: 50,000 - 69,999\t3000\tReady@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3997\tTricia\tLlyles\tF\t1953\tmarried\t37 North Boston Street\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t273-649-1730\tF: 110,000 - 129,999\t1500\tLlyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n3998\tTrina\tAlden\tF\t1967\tsingle\t37 North Boulder Street\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t479-632-6858\tG: 130,000 - 149,999\t3000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3999\tTrista\tLuo\tM\t1946\t\t37 North Bourbon Street\t54044\tChurchville\t51327\tNY\t52679\t52790\t697-205-1236\tE: 90,000 - 109,999\t7000\tLuo@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4002\tChadwick\tStockman\tM\t1938\t\t7 South Caddo Circle\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t154-549-2881\tE: 90,000 - 109,999\t7000\tStockman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4012\tUla\tBarden\tM\t1960\tsingle\t37 North Brewster Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t206-728-2767\tH: 150,000 - 169,999\t3000\tBarden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4024\tUrsula\tLevy\tM\t1978\tmarried\t37 North Buncombe Street\t74050\tGlennie\t51584\tMI\t52654\t52790\t396-188-5989\tF: 110,000 - 129,999\t1500\tLevy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4025\tNelson\tTavener\tM\t1962\tsingle\t17 Humacao Court\t54148\tMaastricht\t51889\tLimburg\t52646\t52770\t606-295-4579\tH: 150,000 - 169,999\t3000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4029\tVale\tZanth\tF\t1956\tsingle\t37 North Butler Street\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t179-198-6434\tI: 170,000 - 189,999\t9000\tZanth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4065\tWinston\tFerrin\tM\t1933\t\t37 North Charles Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t567-433-3892\tC: 50,000 - 69,999\t3000\tFerrin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4070\tWoodrow\tLengel\tM\t1940\t\t37 North Chenango Street\t32099\tClifden\t51331\tGalway\t52608\t52772\t643-554-7616\tC: 50,000 - 69,999\t3000\tLengel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4074\tWorthington\tRoisston\tM\t1949\tmarried\t37 North Chester Street\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t204-468-9632\tE: 90,000 - 109,999\t5000\tRoisston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4090\tYolanda\tValentino\tF\t1957\tmarried\t37 North Clay Street\t90755\tTioga\t52371\tND\t52665\t52790\t425-241-2264\tJ: 190,000 - 249,999\t9000\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4094\tYvonne\tNapper\tF\t1979\tmarried\t37 North Clearwater Street\t68174\tOrtley\t52039\tSD\t52725\t52790\t439-601-2120\tG: 130,000 - 149,999\t5000\tNapper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4102\tOna\tCattlett\tM\t1963\t\t17 Indiana Court\t38763\tHaiku-Pauwela\t51645\tHI\t52615\t52790\t338-235-8742\tJ: 190,000 - 249,999\t9000\tCattlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4106\tZenda\tMann\tF\t1933\t\t37 North Columbia Street\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t561-567-2771\tE: 90,000 - 109,999\t7000\tMann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4108\tZillah\tDriscoll\tF\t1941\tsingle\t37 North Concordia Street\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t407-604-6672\tF: 110,000 - 129,999\t9000\tDriscoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4115\tAbel\tAaron\tM\t1968\tmarried\t37 North Corson Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t623-667-6791\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4135\tAshley\tKayden\tF\t1942\tsingle\t37 North Davidson Street\t81680\tWuerzburg\t52518\tBayern\t52561\t52776\t271-300-6039\tF: 110,000 - 129,999\t9000\tKayden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4139\tAugust\tLaycock\tF\t1964\tsingle\t37 North De Baca Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t276-231-8124\tD: 70,000 - 89,999\t3000\tLaycock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4148\tBaird\tLucy\tM\t1942\tmarried\t37 North Delaware Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t285-411-9396\tA: Below 30,000\t1500\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4149\tBaldwin\tArdena\tM\t1946\t\t37 North Del Mar Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t256-723-1287\tE: 90,000 - 109,999\t9000\tArdena@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4170\tBert\tBarkley\tM\t1952\t\t37 North Dorchester Street\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t258-168-8213\tJ: 190,000 - 249,999\t15000\tBarkley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4183\tBianca\tLiue\tF\t1954\t\t37 North Ellis Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t527-252-9466\tF: 110,000 - 129,999\t10000\tLiue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4185\tBillie\tWiser\tM\t1959\t\t37 North Embarcadero Street\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t518-398-8151\tE: 90,000 - 109,999\t3000\tWiser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4187\tBlaine\tRoche\tM\t1970\tsingle\t37 North Emmet Street\t82203\tColmar\t51338\tAlsace\t52546\t52779\t415-361-2928\tH: 150,000 - 169,999\t5000\tRoche@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4215\tBriana\tRoseberry\tF\t1986\t\t37 North Fresno Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t683-312-5458\tL: 300,000 and above\t11000\tRoseberry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4216\tBridget\tYates\tM\t1944\t\t37 North Fulton Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t308-726-7548\tE: 90,000 - 109,999\t10000\tYates@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4231\tCaland\tLindegreen\tM\t1941\tmarried\t37 North Gonzales Street\t84256\tStrang\t52329\tNE\t52666\t52790\t445-258-7285\tB: 30,000 - 49,999\t1500\tLindegreen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4235\tCameron\tRubens\tM\t1986\tsingle\t37 North Grady Street\t73421\tBondy\t51206\tIle-de-France\t52623\t52779\t362-530-6949\tH: 150,000 - 169,999\t9000\tRubens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4249\tCarlyle\tLehman\tM\t1945\tsingle\t37 North Griggs Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t162-518-7987\tG: 130,000 - 149,999\t11000\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4262\tDeanna\tPolk\tF\t1938\tsingle\t37 North Hampshire Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t236-161-8579\tF: 110,000 - 129,999\t9000\tPolk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4264\tDebbie\tSullivan\tF\t1951\tmarried\t37 North Hanson Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t253-328-7124\tG: 130,000 - 149,999\t1500\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4266\tDecima\tNance\tM\t1949\t\t37 North Hardee Street\t71083\tLozanne\t51808\tRhtne-Alpes\t52711\t52779\t546-547-6553\tF: 110,000 - 129,999\t7000\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4271\tDelilah\tWagner\tF\t1920\tmarried\t37 North Harnett Street\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t594-729-4527\tA: Below 30,000\t3000\tWagner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4278\tDenise\tMulholland\tM\t1962\tsingle\t37 North Henderson Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t442-438-8092\tB: 30,000 - 49,999\t3000\tMulholland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4298\tEmery\tRyan\tM\t1950\tsingle\t37 North Hospital Street\t50032\tDecatur\t51382\tTX\t52745\t52790\t292-750-6612\tH: 150,000 - 169,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4304\tEmmet\tKotzman\tM\t1977\tmarried\t37 North Hudson Street\t45142\tDelhi\t51384\tDelhi\t52578\t52771\t589-579-6144\tE: 90,000 - 109,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4350\tGarland\tLucca\tM\t1963\t\t37 North King Street\t82654\tBonn\t51207\tNordrhein-Westfalen\t52684\t52776\t556-594-6450\tC: 50,000 - 69,999\t9000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4352\tGarnett\tPilcher\tM\t1968\tmarried\t37 North Kingman Street\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t303-564-5190\tJ: 190,000 - 249,999\t9000\tPilcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4375\tGladys\tIrving\tM\t1980\tsingle\t37 North Lampasas Street\t64639\tNice\t51982\tProvence-Alpes-Cote d'Azur\t52701\t52779\t122-449-2225\tH: 150,000 - 169,999\t5000\tIrving@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4378\tGlenna\tEverrett\tF\t1952\tmarried\t37 North Larue Street\t45593\tBagneux\t51159\tIle-de-France\t52623\t52779\t424-470-7083\tF: 110,000 - 129,999\t1500\tEverrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4387\tGregory\tGeralt\tM\t1937\t\t37 North Lavaca Street\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t447-589-3337\tF: 110,000 - 129,999\t7000\tGeralt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4388\tGreta\tTyler\tF\t1975\tmarried\t37 North Lawrence Street\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t624-316-4702\tE: 90,000 - 109,999\t5000\tTyler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4415\tHarry\tRohrback\tM\t1940\tmarried\t37 North Lycoming Street\t88021\tSully\t52333\tIA\t52618\t52790\t320-481-8075\tE: 90,000 - 109,999\t5000\tRohrback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4416\tHarvey\tKohler\tM\t1939\t\t37 North Lyman Street\t92117\tOranjewoud\t52037\tFriesland\t52600\t52770\t372-454-1982\tE: 90,000 - 109,999\t9000\tKohler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4424\tHeidi\tNewkirk\tF\t1954\tmarried\t37 North Major Street\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t220-747-4484\tJ: 190,000 - 249,999\t9000\tNewkirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4427\tHelena\tGlad\tF\t1948\t\t37 North Manati Street\t81319\tBarre\t51165\tMA\t52649\t52790\t135-583-2236\tG: 130,000 - 149,999\t9000\tGlad@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4433\tHerman\tKidwell\tM\t1973\t\t37 North Marion Street\t58488\tDolores\t51391\tCO\t52569\t52790\t665-304-4437\tF: 110,000 - 129,999\t7000\tKidwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4436\tPeter\tParkburg\tM\t1967\tsingle\t17 Kershaw Court\t73541\tHardy\t51650\tNE\t52666\t52790\t199-291-6319\tH: 150,000 - 169,999\t7000\tParkburg@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4458\tHyman\tTrent\tM\t1978\tsingle\t37 North Medina Street\t43660\tSabadell\t52278\tBarcelona\t52560\t52778\t291-229-3651\tH: 150,000 - 169,999\t1500\tTrent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4484\tJonathan\tWolsey\tM\t1935\t\t37 North Monroe Street\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t360-391-2009\tE: 90,000 - 109,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4491\tLenore\tOxford\tM\t1969\tmarried\t37 North Moore Street\t86419\tSaint-Briac-sur-Mer\t52280\tBrittany\t52565\t52779\t506-421-8593\tK: 250,000 - 299,999\t9000\tOxford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4496\tLeora\tAldridge\tF\t1981\tsingle\t37 North Morovis Street\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t598-618-7325\tG: 130,000 - 149,999\t9000\tAldridge@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4516\tLionel\tNewman\tM\t1987\tsingle\t37 North New York Street\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t592-542-5855\tI: 170,000 - 189,999\t9000\tNewman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4545\tLucy\tLease\tF\t1939\tsingle\t37 North Oregon Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t680-798-5748\tD: 70,000 - 89,999\t3000\tLease@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4555\tLynna\tOgletree\tF\t1939\t\t37 North Oxford Street\t43919\tBacknang\t51152\tBaden-Wuerttemberg\t52559\t52776\t590-212-7506\tE: 90,000 - 109,999\t9000\tOgletree@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4556\tMabel\tLevi\tF\t1967\t\t37 North Ozark Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t595-532-3804\tJ: 190,000 - 249,999\t15000\tLevi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4558\tDeann\tEverley\tM\t1937\t\t7 South California Circle\t79359\tLindau\t51798\tBayern\t52561\t52776\t215-178-7774\tE: 90,000 - 109,999\t3000\tEverley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4565\tMadelena\tCole\tF\t1946\tmarried\t37 North Palo Pinto Street\t62980\tMalakoff\t51895\tIle-de-France\t52623\t52779\t466-389-3713\tB: 30,000 - 49,999\t1500\tCole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4568\tMadge\tBraun\tM\t1949\tsingle\t37 North Parke Street\t48346\tNoma\t51985\tFL\t52595\t52790\t459-126-8073\tH: 150,000 - 169,999\t7000\tBraun@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4576\tMallory\tGrace\tM\t1945\t\t37 North Pembina Street\t79359\tLindau\t51798\tBayern\t52561\t52776\t675-118-1209\tE: 90,000 - 109,999\t9000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4587\tMarcus\tMaccarthy\tM\t1955\t\t37 North Pike Street\t40365\tTralee\t52379\tKerry\t52637\t52772\t464-353-6755\tE: 90,000 - 109,999\t7000\tMaccarthy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4603\tPsyche\tBeiers\tM\t1954\tsingle\t17 La Porte Court\t80202\tBirchwood\t51191\tTN\t52744\t52790\t114-385-5209\tI: 170,000 - 189,999\t10000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4639\tNelson\tPearson\tM\t1952\tsingle\t37 North Rensselaer Street\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t194-149-2162\tH: 150,000 - 169,999\t3000\tPearson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4645\tOlivia\tHanson\tM\t1946\tsingle\t37 North Riley Street\t35799\tHalifax\t51646\tEngland - West Yorkshire\t52594\t52789\t115-691-4287\tF: 110,000 - 129,999\t3000\tHanson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4673\tPearl\tHales\tF\t1975\tmarried\t37 North Saguache Street\t90074\tBremen\t51215\tBremen\t52564\t52776\t141-248-6205\tK: 250,000 - 299,999\t11000\tHales@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4676\tPepita\tKish\tM\t1956\tsingle\t37 North Saint Francis Street\t62619\tWinter Springs\t52512\tFL\t52595\t52790\t154-644-1972\tB: 30,000 - 49,999\t1500\tKish@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4691\tPortia\tColter\tF\t1940\tmarried\t37 North San Juan Street\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t521-791-6067\tF: 110,000 - 129,999\t1500\tColter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4699\tRachelle\tWensel\tF\t1968\tsingle\t37 North Santa Clara Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t641-431-1959\tH: 150,000 - 169,999\t3000\tWensel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4709\tRamona\tLlyles\tF\t1950\tsingle\t37 North Scioto Street\t63736\tKillarney\t51728\tKerry\t52637\t52772\t640-110-3724\tG: 130,000 - 149,999\t9000\tLlyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4722\tRay\tLitefoote\tM\t1945\tsingle\t37 North Sherburne Street\t54845\tHaswell\t51651\tCO\t52569\t52790\t120-678-7757\tF: 110,000 - 129,999\t9000\tLitefoote@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4732\tRegan\tGoode\tM\t1980\t\t37 North Sonoma Street\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t232-782-4328\tC: 50,000 - 69,999\t3000\tGoode@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4739\tRenita\tBakker\tF\t1941\tsingle\t37 North Stanislaus Street\t72409\tOosterhout\t52033\tNoord-Brabant\t52682\t52770\t269-507-9639\tF: 110,000 - 129,999\t3000\tBakker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4752\tRob\tRutherford\tM\t1926\t\t37 North Summit Street\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t181-670-3602\tC: 50,000 - 69,999\t5000\tRutherford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4759\tRoderica\tLavin\tM\t1980\tmarried\t37 North Suwannee Street\t92237\tOrangeville\t52036\tIL\t52619\t52790\t405-668-2711\tL: 300,000 and above\t11000\tLavin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4760\tRoderick\tJohn\tM\t1970\t\t37 North Sweetwater Street\t91436\tErlangen\t51456\tBayern\t52561\t52776\t439-159-7410\tG: 130,000 - 149,999\t7000\tJohn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4766\tRollo\tGibb\tM\t1963\t\t37 North Taney Street\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t227-338-9190\tF: 110,000 - 129,999\t7000\tGibb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4775\tRosalie\tKuehen\tF\t1980\tsingle\t37 North Teton Street\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t131-649-3421\tF: 110,000 - 129,999\t9000\tKuehen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4780\tDeb\tAbbassi\tF\t1983\tmarried\t7 South Cambria Circle\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t596-545-7275\tH: 150,000 - 169,999\t7000\tAbbassi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4795\tRuby\tFerris\tF\t1978\tmarried\t37 North Trumbull Street\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t332-115-4470\tF: 110,000 - 129,999\t5000\tFerris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4797\tRudyard\tGilbert\tM\t1957\t\t37 North Tuscaloosa Street\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t130-302-9113\tG: 130,000 - 149,999\t10000\tGilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4800\tRufus\tGlassman\tM\t1946\tsingle\t37 North Tyler Street\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t361-243-6162\tH: 150,000 - 169,999\t9000\tGlassman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4802\tRussell\tValentino\tM\t1983\tsingle\t37 North Union Street\t48486\tNorth Enid\t51991\tOK\t52689\t52790\t386-188-9989\tF: 110,000 - 129,999\t9000\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4806\tSabina\tNapper\tF\t1946\tsingle\t37 North Upton Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t674-462-9703\tD: 70,000 - 89,999\t3000\tNapper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4817\tSampson\tTavener\tM\t1966\t\t37 North Vigo Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t196-178-9060\tE: 90,000 - 109,999\t10000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4829\tTerrie\tOdenwalld\tF\t1975\tsingle\t37 North Walla Walla Street\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t611-413-2487\tG: 130,000 - 149,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4832\tTerrence\tRhodes\tM\t1961\t\t37 North Ware Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t207-326-2437\tE: 90,000 - 109,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4835\tTess\tHanes\tF\t1942\tsingle\t37 North Wasco Street\t61344\tPescadero\t52108\tCA\t52567\t52790\t258-250-7907\tF: 110,000 - 129,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4838\tThaddeus\tGilmour\tM\t1951\tmarried\t37 North Washington Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t597-102-6989\tD: 70,000 - 89,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4842\tThayer\tLing\tM\t1985\tsingle\t37 North Weber Street\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t533-515-5040\tI: 170,000 - 189,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4851\tTheron\tRumfeldt\tM\t1971\tmarried\t37 North Whipple Street\t41915\tLyngby\t51813\tCopenhagen\t52574\t52777\t518-457-1026\tB: 30,000 - 49,999\t1500\tRumfeldt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4872\tTolman\tVoss\tM\t1984\tsingle\t37 North Worth Street\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t364-601-2560\tG: 130,000 - 149,999\t3000\tVoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4885\tTrevor\tManson\tM\t1955\tsingle\t37 North Yellowstone Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t228-232-1349\tA: Below 30,000\t1500\tManson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4890\tTristan\tRellis\tM\t1954\tmarried\t37 North Yukon Koyukuk Street\t39895\tDarmstadt\t51380\tHessen\t52617\t52776\t223-753-4537\tE: 90,000 - 109,999\t1500\tRellis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4895\tTrudy\tLiue\tM\t1963\tmarried\t37 South 5th Street\t75603\tPalmdale\t52102\tFL\t52595\t52790\t262-204-8328\tK: 250,000 - 299,999\t7000\tLiue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4902\tUland\tTiffany\tM\t1964\tsingle\t37 South Aiken Street\t68382\tMarseille\t51901\tProvence-Alpes-Cote d'Azur\t52701\t52779\t550-172-7225\tH: 150,000 - 169,999\t9000\tTiffany@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4912\tUrian\tRemler\tM\t1982\tsingle\t37 South Alexandria City Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t341-777-1149\tF: 110,000 - 129,999\t3000\tRemler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4929\tVarden\tDunbar\tM\t1944\tsingle\t37 South Aroostook Street\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t476-485-6525\tF: 110,000 - 129,999\t9000\tDunbar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4943\tWendy\tCox\tF\t1938\t\t37 South Baltimore Street\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t622-189-7894\tE: 90,000 - 109,999\t10000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4947\tReece\tRosser\tM\t1956\tsingle\t17 Licking Court\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t640-358-5027\tI: 170,000 - 189,999\t1500\tRosser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4954\tWinston\tTucker\tM\t1969\tmarried\t37 South Baton Rouge Street\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t603-123-6029\tC: 50,000 - 69,999\t5000\tTucker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4969\tRegina\tLandon\tF\t1955\tsingle\t17 Linn Court\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t309-414-7840\tH: 150,000 - 169,999\t7000\tLandon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n4975\tXylon\tSullivan\tM\t1942\tsingle\t37 South Benzie Street\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t343-143-7091\tF: 110,000 - 129,999\t9000\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4983\tYvonne\tHaarper\tF\t1949\t\t37 South Big Horn Street\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t314-256-7732\tG: 130,000 - 149,999\t15000\tHaarper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5008\tAbsolom\tRice\tM\t1953\tmarried\t37 South Brazos Street\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t536-766-4640\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5013\tAnand\tDrumm\tM\t1950\tsingle\t37 South Britnay Street\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t222-530-3358\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5038\tBaldwin\tBall\tM\t1950\tmarried\t37 South Caledonia Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t388-639-4435\tE: 90,000 - 109,999\t1500\tBall@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5039\tBarlow\tCharron\tM\t1973\t\t37 South California Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t346-140-2382\tE: 90,000 - 109,999\t3000\tCharron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5049\tBeatrice\tHandkins\tF\t1961\tsingle\t37 South Caroline Street\t32144\tGeorgetown\t51579\tPenang\t52700\t52769\t391-729-6689\tA: Below 30,000\t1500\tHandkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5060\tBertha\tLucca\tF\t1977\t\t37 South Catoosa Street\t34216\tMurnau\t51934\tBayern\t52561\t52776\t618-308-1659\tD: 70,000 - 89,999\t7000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5061\tBertilde\tPark\tM\t1970\tmarried\t37 South Cayey Street\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t335-619-6206\tA: Below 30,000\t1500\tPark@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5069\tReyburn\tMarkman\tM\t1981\tsingle\t17 Louisa Court\t35228\tBad Schwartau\t51156\tSchleswig-Holstein\t52736\t52776\t591-592-2802\tH: 150,000 - 169,999\t10000\tMarkman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5075\tBing\tBradley\tM\t1984\tsingle\t37 South Chesterfield Street\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t174-418-2919\tF: 110,000 - 129,999\t9000\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5076\tBlaine\tGroup\tM\t1958\tsingle\t37 South Cheyenne Street\t90900\tMendham\t51908\tNJ\t52670\t52790\t566-750-4528\tH: 150,000 - 169,999\t10000\tGroup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5085\tBobby\tIrving\tM\t1945\t\t37 South Clackamas Street\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t192-550-9122\tC: 50,000 - 69,999\t3000\tIrving@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5089\tBonny\tBarajas\tF\t1957\t\t37 South Clarke Street\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t220-647-6930\tF: 110,000 - 129,999\t10000\tBarajas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5090\tBoris\tKnox\tM\t1985\t\t37 South Clay Street\t36598\tBaltimore\t51161\tCork\t52575\t52772\t283-354-4857\tJ: 190,000 - 249,999\t9000\tKnox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5095\tBrand\tKing\tM\t1960\tsingle\t37 South Clinton Street\t91086\tHusum\t51671\tSchleswig-Holstein\t52736\t52776\t365-337-6571\tF: 110,000 - 129,999\t9000\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5104\tBriana\tPierce\tF\t1966\tmarried\t37 South Colfax Street\t75917\tMolino\t51917\tFL\t52595\t52790\t648-195-9413\tL: 300,000 and above\t9000\tPierce@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5110\tBuck\tCooper\tM\t1936\tmarried\t37 South Cook Street\t88252\tCrownpoint\t51346\tIN\t52621\t52790\t532-278-7984\tE: 90,000 - 109,999\t1500\tCooper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5126\tCamilla\tRohrback\tF\t1983\tsingle\t37 South Cupertino Street\t58488\tDolores\t51391\tCO\t52569\t52790\t528-146-4570\tI: 170,000 - 189,999\t3000\tRohrback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5142\tCaspar\tLincoln\tM\t1944\t\t37 South De Soto Street\t44931\tBad Homburg\t51153\tHessen\t52617\t52776\t430-239-2572\tE: 90,000 - 109,999\t9000\tLincoln@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5162\tDelora\tBurnns\tF\t1971\tsingle\t37 South Dolphin Street\t89783\tDortmund\t51394\tNordrhein-Westfalen\t52684\t52776\t147-451-3504\tG: 130,000 - 149,999\t9000\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5164\tDeloris\tHanrahan\tF\t1972\tmarried\t37 South Donna Lake Street\t60193\tLittle Port\t51800\tIA\t52618\t52790\t408-589-5257\tF: 110,000 - 129,999\t1500\tHanrahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5209\tEvan\tHaske\tF\t1959\t\t37 South Foster City Street\t60332\tEde\t51442\tGelderland\t52610\t52770\t348-730-3079\tD: 70,000 - 89,999\t10000\tHaske@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5219\tFlorence\tEssex\tF\t1940\t\t37 South Gardena Street\t49147\tAlmeria\t51058\tAlmeria\t52545\t52778\t526-222-4714\tF: 110,000 - 129,999\t7000\tEssex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5224\tDeedee\tMulligan\tF\t1962\tsingle\t7 South Carlmont Circle\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t102-440-2760\tH: 150,000 - 169,999\t3000\tMulligan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5231\tFrederick\tNaber\tM\t1977\tmarried\t37 South Gonzales Street\t43329\tAttica\t51078\tNY\t52679\t52790\t305-254-8513\tB: 30,000 - 49,999\t1500\tNaber@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5251\tGerard\tRothrock\tM\t1952\tsingle\t37 South Guayama Street\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t157-122-7289\tI: 170,000 - 189,999\t1500\tRothrock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5262\tGinger\tMahood\tF\t1982\tsingle\t37 South Hampshire Street\t48346\tNoma\t51985\tFL\t52595\t52790\t482-569-2048\tF: 110,000 - 129,999\t9000\tMahood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5265\tGlenn\tWong\tM\t1982\tsingle\t37 South Harbor Street\t79359\tLindau\t51798\tBayern\t52561\t52776\t686-447-3702\tH: 150,000 - 169,999\t3000\tWong@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5274\tGranville\tGottlieb\tM\t1955\tmarried\t37 South Hartford Street\t63507\tErding\t51454\tBayern\t52561\t52776\t301-335-8161\tK: 250,000 - 299,999\t7000\tGottlieb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5277\tGriffith\tLi\tM\t1941\tmarried\t37 South Hawaii Street\t40365\tTralee\t52379\tKerry\t52637\t52772\t537-631-4668\tF: 110,000 - 129,999\t1500\tLi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5286\tGwendolyn\tGrace\tM\t1959\tsingle\t37 South Hidalgo Street\t43505\tValencia\t52430\tValencia\t52755\t52778\t159-642-8587\tI: 170,000 - 189,999\t7000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5289\tHal\tPinkston\tM\t1934\t\t37 South Hinds Street\t48098\tBitburg\t51193\tRheinland-Pfalz\t52710\t52776\t338-174-5566\tD: 70,000 - 89,999\t10000\tPinkston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5291\tRollin\tCox\tM\t1981\tsingle\t17 Marinette Court\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t491-107-7801\tD: 70,000 - 89,999\t3000\tCox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5359\tInga\tWalsh\tM\t1950\tsingle\t37 South La Crosse Street\t71750\tSalthill\t52287\tGalway\t52608\t52772\t433-150-2968\tG: 130,000 - 149,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5369\tRonni\tLotto\tM\t1956\t\t17 Matagorda Court\t87791\tMarbella\t51900\tMalaga\t52661\t52778\t121-503-9424\tE: 90,000 - 109,999\t7000\tLotto@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5385\tLesley\tDwyer\tF\t1960\tsingle\t37 South Laurens Street\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t637-506-3407\tK: 250,000 - 299,999\t11000\tDwyer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5402\tRosalind\tTucker\tF\t1955\t\t17 Mcclain Court\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t502-348-8064\tG: 130,000 - 149,999\t10000\tTucker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5411\tLola\tEdwards\tM\t1958\tsingle\t37 South Luquillo Street\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t263-268-2505\tF: 110,000 - 129,999\t3000\tEdwards@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5419\tLorrel\tLlyles\tF\t1961\t\t37 South Madera Street\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t502-363-7622\tF: 110,000 - 129,999\t7000\tLlyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5423\tLouis\tSmeed\tM\t1982\tmarried\t37 South Major Street\t34197\tSkagway\t52314\tAK\t52533\t52790\t405-522-8696\tJ: 190,000 - 249,999\t9000\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5429\tLucia\tDowney\tF\t1934\t\t37 South Marin Street\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t103-625-4270\tD: 70,000 - 89,999\t10000\tDowney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5434\tLuke\tEarly\tM\t1943\tsingle\t37 South Marshall Street\t71839\tKing's Lynn\t51729\tEngland - Norfolk\t52591\t52789\t369-234-4163\tA: Below 30,000\t1500\tEarly@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5453\tMadelaine\tWelk\tF\t1942\tsingle\t37 South Mclean Street\t91436\tErlangen\t51456\tBayern\t52561\t52776\t681-771-6961\tG: 130,000 - 149,999\t5000\tWelk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5459\tRose\tLehman\tF\t1948\tsingle\t17 Mcintosh Court\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t439-379-9161\tG: 130,000 - 149,999\t11000\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5467\tMandisa\tManuel\tF\t1965\tsingle\t37 South Midland Street\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t271-466-3526\tH: 150,000 - 169,999\t7000\tManuel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5469\tManvel\tPaintor\tM\t1966\tsingle\t37 South Milam Street\t69499\tMidland\t51913\tAR\t52540\t52790\t183-791-6779\tF: 110,000 - 129,999\t9000\tPaintor@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5478\tMario\tGibb\tM\t1946\tmarried\t37 South Moca Street\t49828\tOxford, NJ\t52042\tNJ\t52670\t52790\t446-630-9977\tE: 90,000 - 109,999\t1500\tGibb@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5489\tMax\tGermonds\tM\t1944\tsingle\t37 South Montour Street\t72740\tToxey\t52377\tAL\t52534\t52790\t312-339-2455\tF: 110,000 - 129,999\t9000\tGermonds@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5493\tMaynard\tLengel\tM\t1942\t\t37 South Mora Street\t86870\tLudwigshafen\t51810\tRheinland-Pfalz\t52710\t52776\t552-464-1935\tC: 50,000 - 69,999\t3000\tLengel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5510\tMorgan\tStocks\tM\t1954\t\t37 South Natchitoches Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t651-782-3743\tC: 50,000 - 69,999\t3000\tStocks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5517\tMurdock\tNapper\tM\t1967\t\t37 South Newaygo Street\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t518-507-7065\tF: 110,000 - 129,999\t10000\tNapper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5522\tNola\tAlex\tF\t1930\tsingle\t37 South Norfolk Street\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t318-587-5525\tD: 70,000 - 89,999\t9000\tAlex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5528\tNelson\tTavener\tM\t1953\tsingle\t37 South Ocean Street\t82985\tHeywood\t51660\tEngland - Greater Manchester\t52590\t52789\t639-774-9952\tH: 150,000 - 169,999\t5000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5550\tPammie\tLusk\tF\t1978\t\t37 South Otero Street\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t614-588-6631\tE: 90,000 - 109,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5571\tPetula\tLucy\tM\t1949\tsingle\t37 South Pasco Street\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t106-216-9181\tI: 170,000 - 189,999\t15000\tLucy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5577\tPolly\tLindsey\tF\t1929\t\t37 South Pemiscot Street\t41847\tEdgewood\t51443\tKY\t52632\t52790\t638-690-6866\tD: 70,000 - 89,999\t15000\tLindsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5592\tRudolph\tPolk\tM\t1966\tsingle\t17 Meriwether Court\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t576-284-2640\tJ: 190,000 - 249,999\t11000\tPolk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5600\tRamsey\tGreene\tM\t1969\t\t37 South Pope Street\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t523-141-2715\tF: 110,000 - 129,999\t7000\tGreene@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5601\tRana\tVandermark\tF\t1948\tsingle\t37 South Portage Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t146-440-9279\tH: 150,000 - 169,999\t7000\tVandermark@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5605\tRandolph\tCrisp\tM\t1928\tmarried\t37 South Pottawatomie Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t404-368-3913\tA: Below 30,000\t3000\tCrisp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5611\tRay\tHammer\tM\t1964\tmarried\t37 South Pratt Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t672-596-7813\tF: 110,000 - 129,999\t1500\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5623\tReginald\tRemler\tM\t1971\t\t37 South Quay Street\t91887\tStockdale\t52326\tPA\t52693\t52790\t449-693-3830\tD: 70,000 - 89,999\t10000\tRemler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5630\tRex\tBardwell\tM\t1960\t\t37 South Randolph Street\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t292-468-3445\tE: 90,000 - 109,999\t10000\tBardwell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5643\tRoberta\tEverhard\tM\t1934\t\t37 South Richland Street\t88199\tMurdock\t51933\tNE\t52666\t52790\t560-203-8156\tD: 70,000 - 89,999\t10000\tEverhard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5661\tRonald\tGeiss\tM\t1954\tmarried\t37 South Routt Street\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t519-548-3432\tE: 90,000 - 109,999\t5000\tGeiss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5676\tRoswald\tDahl\tM\t1930\tsingle\t37 South Saint Francis Street\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t230-491-4453\tB: 30,000 - 49,999\t1500\tDahl@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5681\tRyan\tWagner\tM\t1965\tmarried\t17 Mills Court\t55787\tMontara\t51919\tCA\t52567\t52790\t155-459-4594\tG: 130,000 - 149,999\t1500\tWagner@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5692\tSabina\tHaarper\tF\t1980\tsingle\t17 Milwaukee Court\t55787\tMontara\t51919\tCA\t52567\t52790\t310-370-4124\tD: 70,000 - 89,999\t3000\tHaarper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5696\tSabrina\tPack\tF\t1949\tsingle\t37 South Sandoval Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t516-325-6086\tI: 170,000 - 189,999\t11000\tPack@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5699\tSally\tLightfoot\tF\t1950\tsingle\t37 South Santa Clara Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t356-544-8040\tH: 150,000 - 169,999\t3000\tLightfoot@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5729\tThatcher\tPatterson\tM\t1932\t\t37 South Smith Street\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t167-759-9941\tC: 50,000 - 69,999\t9000\tPatterson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5730\tThaxter\tEdison\tM\t1976\t\t37 South Snyder Street\t69776\tHiseville\t51663\tKY\t52632\t52790\t631-323-8265\tE: 90,000 - 109,999\t10000\tEdison@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5741\tThom\tLyles\tF\t1936\tmarried\t37 South Starr Street\t32144\tGeorgetown\t51579\tPenang\t52700\t52769\t174-398-8371\tE: 90,000 - 109,999\t5000\tLyles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5770\tTravers\tKatz\tM\t1964\tsingle\t37 South Tazewell Street\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t648-636-6705\tI: 170,000 - 189,999\t10000\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5794\tUlysses\tBallard\tM\t1951\t\t37 South Trujillo Alto Street\t57217\tNew Market\t51980\tVA\t52751\t52790\t441-287-8254\tC: 50,000 - 69,999\t7000\tBallard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5804\tUwe\tManning\tM\t1960\t\t37 South University Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t353-738-6734\tG: 130,000 - 149,999\t10000\tManning@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5808\tValentina\tCheng\tF\t1954\tsingle\t37 South Valley Street\t30414\tOilton\t52032\tOK\t52689\t52790\t430-202-7126\tI: 170,000 - 189,999\t5000\tCheng@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5814\tTaffy\tSaintclair\tM\t1945\tmarried\t17 Montague Court\t52602\tBlountstown\t51200\tFL\t52595\t52790\t252-562-6190\tF: 110,000 - 129,999\t1500\tSaintclair@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5825\tTalia\tLandolt\tF\t1948\tsingle\t17 Montcalm Court\t68766\tRevel\t52164\tMidi-Pyrenees\t52663\t52779\t130-487-9337\tH: 150,000 - 169,999\t5000\tLandolt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5845\tWirt\tRill\tM\t1982\tsingle\t37 South Wells Street\t35816\tBatesland\t51167\tSD\t52725\t52790\t373-244-4300\tD: 70,000 - 89,999\t3000\tRill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5852\tWorthington\tSnodgrass\tM\t1982\t\t37 South White Street\t33529\tLondrina\t51804\tParana\t52698\t52775\t149-743-5513\tE: 90,000 - 109,999\t3000\tSnodgrass@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5861\tXaver\tVesper\tM\t1983\tsingle\t37 South Williamson Street\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t139-553-5972\tH: 150,000 - 169,999\t5000\tVesper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5864\tXylon\tGrier\tM\t1972\tmarried\t37 South Windy City Street\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t270-534-1444\tF: 110,000 - 129,999\t1500\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5879\tZebulon\tTrent\tM\t1964\t\t37 South Yamhill Street\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t101-162-8874\tA: Below 30,000\t1500\tTrent@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5884\tZenda\tChambliss\tF\t1940\tmarried\t37 South Yell Street\t53363\tMontreuil\t51922\tIle-de-France\t52623\t52779\t644-422-9117\tE: 90,000 - 109,999\t1500\tChambliss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5897\tAbsolom\tEastwood\tM\t1948\t\t47 Accomack Road\t74673\tDuncan\t51402\tSC\t52722\t52790\t305-476-1865\tG: 130,000 - 149,999\t15000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5910\tArno\tMallory\tM\t1959\t\t47 Alexander Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t562-696-7684\tD: 70,000 - 89,999\t10000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5920\tAzalea\tJanney\tM\t1937\t\t47 Anderson Road\t73216\tFrederick\t51519\tCO\t52569\t52790\t324-239-9046\tE: 90,000 - 109,999\t7000\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5922\tBabetta\tJewell\tM\t1982\t\t47 Anson Road\t43329\tAttica\t51078\tNY\t52679\t52790\t352-492-4314\tE: 90,000 - 109,999\t9000\tJewell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5938\tBeatrice\tNewman\tF\t1963\tmarried\t47 Austin Road\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t645-191-9147\tA: Below 30,000\t1500\tNewman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5956\tBette\tParkinson\tF\t1961\t\t47 Bayamon Road\t82850\tBowen\t51211\tIL\t52619\t52790\t620-113-6572\tD: 70,000 - 89,999\t10000\tParkinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5975\tBonnibel\tChristian\tM\t1946\tsingle\t47 Benzie Road\t57631\tBalk\t51160\tFriesland\t52600\t52770\t176-563-2975\tF: 110,000 - 129,999\t9000\tChristian@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5978\tBonny\tLevi\tF\t1944\tsingle\t47 Berks Road\t43505\tValencia\t52430\tValencia\t52755\t52778\t302-193-3117\tF: 110,000 - 129,999\t3000\tLevi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5984\tBrand\tKelleher\tM\t1978\tmarried\t47 Bingham Road\t56047\tAccomac\t51044\tVA\t52751\t52790\t436-242-8700\tF: 110,000 - 129,999\t1500\tKelleher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5990\tBrenna\tResnick\tF\t1966\tmarried\t47 Blount Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t626-536-4859\tA: Below 30,000\t1500\tResnick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6004\tBuick\tAustin\tM\t1950\t\t47 Boyd Road\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t141-233-4735\tB: 30,000 - 49,999\t1500\tAustin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6009\tCaland\tMaccarthy\tM\t1928\tsingle\t47 Breathitt Road\t76764\tAubervilliers\t51080\tIle-de-France\t52623\t52779\t206-254-8753\tB: 30,000 - 49,999\t1500\tMaccarthy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6014\tThaddeus\tKotzman\tM\t1935\tmarried\t17 Muskogee Court\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t237-482-5142\tD: 70,000 - 89,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6019\tCandida\tMurray\tM\t1975\tsingle\t47 Brunswick Road\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t102-119-5262\tG: 130,000 - 149,999\t3000\tMurray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6035\tCharli\tEddisson\tM\t1976\tsingle\t47 Calaveras Road\t53086\tSan Mateo\t52290\tCA\t52567\t52790\t580-377-6354\tB: 30,000 - 49,999\t1500\tEddisson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6062\tDiana\tMarkerman\tF\t1980\t\t47 Cedar Road\t75214\tMar del Plata\t51899\tBuenos Aires\t52566\t52773\t567-390-6565\tC: 50,000 - 69,999\t9000\tMarkerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6065\tDiona\tBallanger\tF\t1945\t\t47 Charles Road\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t465-605-2616\tC: 50,000 - 69,999\t3000\tBallanger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6091\tTheodorick\tEvans\tM\t1968\tsingle\t17 New Castle Court\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t312-136-1266\tD: 70,000 - 89,999\t3000\tEvans@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6101\tFabian\tCassidy\tM\t1977\tsingle\t47 Cole Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t485-105-3726\tA: Below 30,000\t1500\tCassidy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6111\tFrancis\tWolf\tF\t1962\tsingle\t47 Coos Road\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t189-532-3141\tJ: 190,000 - 249,999\t11000\tWolf@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6114\tTheodric\tFiggens\tM\t1969\tmarried\t17 New London Court\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t330-355-9539\tC: 50,000 - 69,999\t5000\tFiggens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6118\tFred\tWestman\tM\t1950\tsingle\t47 Cowlitz Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t681-586-2604\tI: 170,000 - 189,999\t1500\tWestman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6127\tGarland\tKenyon\tM\t1953\t\t47 Currituck Road\t60635\tCentral City\t51321\tIA\t52618\t52790\t252-528-8644\tC: 50,000 - 69,999\t7000\tKenyon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6155\tGlenna\tBaker\tF\t1945\tsingle\t47 Dickinson Road\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t197-360-9401\tF: 110,000 - 129,999\t9000\tBaker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6170\tGump\tKindrid\tM\t1961\t\t47 Dorchester Road\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t530-517-9121\tJ: 190,000 - 249,999\t15000\tKindrid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6203\tHelen\tLengel\tF\t1966\tsingle\t47 Fleming Road\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t364-794-3189\tL: 300,000 and above\t15000\tLengel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6208\tHenry\tVail\tM\t1937\t\t47 Forsyth Road\t66098\tRiyadh\t52168\tRiyadh\t52714\t52787\t669-270-9761\tE: 90,000 - 109,999\t9000\tVail@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6221\tHolmes\tGlassman\tM\t1934\t\t47 Garland Road\t38312\tForrestcity\t51513\tAR\t52540\t52790\t223-680-7086\tE: 90,000 - 109,999\t9000\tGlassman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6230\tHoratio\tBallenger\tM\t1970\t\t47 Golden Gate Road\t41915\tLyngby\t51813\tCopenhagen\t52574\t52777\t579-771-5763\tG: 130,000 - 149,999\t10000\tBallenger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6249\tIngrid\tKessel\tF\t1950\tsingle\t47 Griggs Road\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t371-459-2222\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6309\tLotus\tMozzes\tM\t1943\t\t47 Huron Road\t32303\tFords Prairie\t51509\tWA\t52757\t52790\t297-713-4494\tD: 70,000 - 89,999\t10000\tMozzes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6328\tLylybel\tZimmerman\tM\t1941\t\t47 Jefferson Road\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t125-685-3505\tE: 90,000 - 109,999\t9000\tZimmerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6345\tMadge\tWiseman\tM\t1950\tsingle\t47 Kenton Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t556-728-8504\tH: 150,000 - 169,999\t3000\tWiseman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6356\tManus\tZheng\tM\t1967\t\t47 Knox Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t694-646-7202\tF: 110,000 - 129,999\t10000\tZheng@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6373\tMarwin\tLotto\tM\t1939\t\t47 Lamoille Road\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t329-673-4607\tF: 110,000 - 129,999\t7000\tLotto@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6382\tMead\tLehman\tM\t1977\tsingle\t47 Lassen Road\t73071\tAlleppey\t51054\tKerala\t52636\t52771\t311-368-8209\tA: Below 30,000\t1500\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6387\tMike\tLake\tM\t1946\tmarried\t47 Lawrence Road\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t185-326-7358\tE: 90,000 - 109,999\t5000\tLake@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6400\tMorris\tMulligan\tM\t1945\tmarried\t47 Litchfield Road\t90953\tHolyrood\t51667\tKS\t52630\t52790\t224-693-5925\tD: 70,000 - 89,999\t5000\tMulligan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6413\tTownsend\tZhang\tM\t1950\tmarried\t17 Orange Court\t63736\tKillarney\t51728\tKerry\t52637\t52772\t306-338-5534\tF: 110,000 - 129,999\t1500\tZhang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6429\tOriel\tRice\tF\t1975\t\t47 Marin Road\t40804\tBadalona\t51158\tBarcelona\t52560\t52778\t665-591-5917\tD: 70,000 - 89,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6449\tPauline\tCurr\tF\t1967\tsingle\t47 Mcintosh Road\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t488-269-5267\tG: 130,000 - 149,999\t9000\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6455\tPersis\tFelt\tM\t1978\tsingle\t47 Meade Road\t54516\tPelham\t52106\tNY\t52679\t52790\t116-455-5765\tD: 70,000 - 89,999\t9000\tFelt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6457\tPeter\tThompson\tM\t1949\tsingle\t47 Medina Road\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t450-172-8435\tH: 150,000 - 169,999\t3000\tThompson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6458\tTravis\tLucca\tM\t1960\tsingle\t17 Oswego Court\t63736\tKillarney\t51728\tKerry\t52637\t52772\t584-420-4193\tL: 300,000 and above\t11000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6474\tPsyche\tOrm\tM\t1981\tsingle\t47 Mineral Road\t89000\tWadsworth\t52491\tNV\t52678\t52790\t351-317-2759\tI: 170,000 - 189,999\t5000\tOrm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6476\tRachelle\tDunhill\tF\t1958\tsingle\t47 Mobile Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t219-544-1130\tH: 150,000 - 169,999\t10000\tDunhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6480\tTrent\tPilcher\tM\t1974\tmarried\t17 Otoe Court\t63736\tKillarney\t51728\tKerry\t52637\t52772\t639-685-2937\tE: 90,000 - 109,999\t1500\tPilcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6525\tRiley\tKugel\tM\t1979\t\t47 Oakland Road\t50960\tFive Points\t51504\tTN\t52744\t52790\t522-276-5391\tE: 90,000 - 109,999\t3000\tKugel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6575\tRudyard\tCummings\tM\t1951\tmarried\t47 Payne Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t221-651-2621\tG: 130,000 - 149,999\t5000\tCummings@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6579\tRupert\tLinsicome\tM\t1974\tsingle\t47 Perkins Road\t67272\tCloverdale\t51334\tCA\t52567\t52790\t571-527-8306\tF: 110,000 - 129,999\t3000\tLinsicome@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6584\tSabina\tBarnhouse\tF\t1931\t\t47 Pickaway Road\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t464-687-7347\tD: 70,000 - 89,999\t10000\tBarnhouse@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6585\tSabrina\tBurnns\tF\t1952\tsingle\t47 Pickens Road\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t495-415-2062\tI: 170,000 - 189,999\t1500\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6606\tTerry\tRossellett\tF\t1946\tsingle\t47 Pottawattamie Road\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t301-364-1434\tF: 110,000 - 129,999\t3000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6633\tThurlow\tJewell\tM\t1952\t\t47 Ravalli Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t505-445-4219\tD: 70,000 - 89,999\t7000\tJewell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6659\tTravers\tFaimon\tM\t1969\tsingle\t47 Roosevelt Road\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t255-245-4007\tI: 170,000 - 189,999\t3000\tFaimon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6693\tUwe\tGowen\tM\t1984\tsingle\t47 San Miguel Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t693-672-7344\tG: 130,000 - 149,999\t3000\tGowen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6704\tVance\tHackett\tM\t1949\t\t47 Sarasota Road\t55787\tMontara\t51919\tCA\t52567\t52790\t473-186-7529\tA: Below 30,000\t1500\tHackett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6709\tVelma\tGrace\tF\t1948\tsingle\t47 Scioto Road\t42648\tSevilla\t52306\tSevilla\t52739\t52778\t151-607-3190\tG: 130,000 - 149,999\t11000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6718\tVirginia\tGutierrez\tF\t1952\tmarried\t47 Shawnee Road\t77306\tBerkley\t51182\tIA\t52618\t52790\t591-451-9565\tG: 130,000 - 149,999\t1500\tGutierrez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6725\tUraih\tKonur\tM\t1947\t\t17 Pembina Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t497-735-7729\tE: 90,000 - 109,999\t9000\tKonur@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6736\tUrania\tHardesty\tF\t1929\t\t17 Pemiscot Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t334-690-5429\tD: 70,000 - 89,999\t15000\tHardesty@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6737\tWoodrow\tTanney\tM\t1940\t\t47 St. Martin Road\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t204-108-5960\tC: 50,000 - 69,999\t3000\tTanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6744\tWylie\tNutter\tM\t1941\tmarried\t47 Steuben Road\t71750\tSalthill\t52287\tGalway\t52608\t52772\t172-593-2810\tD: 70,000 - 89,999\t1500\tNutter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6747\tUrban\tEverrett\tM\t1978\tsingle\t17 Pennington Court\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t426-243-1503\tH: 150,000 - 169,999\t1500\tEverrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6757\tYolanda\tRuddle\tF\t1956\tmarried\t47 Sussex Road\t44811\tThomasville\t52366\tAL\t52534\t52790\t231-747-3146\tJ: 190,000 - 249,999\t9000\tRuddle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6780\tDiamond\tElmore\tM\t1920\tmarried\t7 South Cayey Circle\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t514-658-7054\tA: Below 30,000\t1500\tElmore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6782\tAbel\tWalsh\tM\t1951\tmarried\t47 Tioga Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t168-233-8162\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6788\tAdel\tPeebles\tF\t1954\tsingle\t47 Towner Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t477-688-1056\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6790\tAngela\tLessman\tF\t1971\tsingle\t47 Trego Road\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t401-350-3513\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6806\tAugust\tHales\tF\t1978\tsingle\t47 Upton Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t143-346-1196\tD: 70,000 - 89,999\t3000\tHales@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6812\tBabs\tRobinson\tM\t1958\tsingle\t47 Vernon Road\t80999\tWestminster\t52506\tEngland - Greater London\t52589\t52789\t237-629-9868\tF: 110,000 - 129,999\t3000\tRobinson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6817\tBarlow\tOliver\tM\t1964\t\t47 Vigo Road\t72409\tOosterhout\t52033\tNoord-Brabant\t52682\t52770\t128-391-7211\tE: 90,000 - 109,999\t10000\tOliver@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6834\tBenjamin\tEdwards\tM\t1927\tmarried\t47 Warrick Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t597-582-3820\tB: 30,000 - 49,999\t7000\tEdwards@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6844\tBett\tLuo\tF\t1974\tsingle\t47 Weld Road\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t380-744-7424\tH: 150,000 - 169,999\t1500\tLuo@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6856\tBlanche\tBarden\tM\t1949\t\t47 Wichita Road\t85268\tWellington\t52503\tWellington\t52766\t52785\t584-754-2358\tF: 110,000 - 129,999\t10000\tBarden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6859\tBlossom\tReilly\tF\t1973\t\t47 Will Road\t90755\tTioga\t52371\tND\t52665\t52790\t639-543-8544\tE: 90,000 - 109,999\t3000\tReilly@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6864\tBonnibel\tBaltzer\tM\t1943\tmarried\t47 Windy City Road\t60073\tKlang\t51732\tSelangor\t52738\t52769\t145-283-5953\tF: 110,000 - 129,999\t1500\tBaltzer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6870\tBoyd\tLeigh\tM\t1967\tsingle\t47 Woodside Road\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t177-432-8878\tL: 300,000 and above\t15000\tLeigh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6875\tBrant\tKitts\tM\t1979\t\t47 Wythe Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t438-665-2893\tE: 90,000 - 109,999\t9000\tKitts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6887\tBryant\tJackson\tM\t1944\tmarried\t47 York Road\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t223-428-8559\tG: 130,000 - 149,999\t7000\tJackson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6905\tCamille\tBakerman\tF\t1931\tmarried\t47 East Aitkin Road\t81680\tWuerzburg\t52518\tBayern\t52561\t52776\t336-528-6384\tC: 50,000 - 69,999\t1500\tBakerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6927\tChester\tBarrett\tM\t1948\t\t47 East Arecibo Road\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t253-430-3394\tE: 90,000 - 109,999\t7000\tBarrett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6928\tDeann\tFerris\tM\t1950\tmarried\t47 East Armstrong Road\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t409-351-3816\tE: 90,000 - 109,999\t5000\tFerris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6930\tDeb\tGilbert\tF\t1971\tsingle\t47 East Ascension Road\t32614\tLaluz\t51784\tNM\t52671\t52790\t427-219-7284\tH: 150,000 - 169,999\t10000\tGilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6934\tDeedee\tJoseph\tF\t1949\tsingle\t47 East Atlanta Road\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t564-238-3528\tH: 150,000 - 169,999\t7000\tJoseph@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6936\tVeda\tGilroy\tM\t1951\tsingle\t17 Polk Court\t50279\tNorth Branch\t51988\tMI\t52654\t52790\t336-545-9274\tH: 150,000 - 169,999\t10000\tGilroy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6943\tDemetria\tFilbert\tM\t1945\t\t47 East Baltimore Road\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t266-657-1805\tE: 90,000 - 109,999\t10000\tFilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6945\tDenise\tBanas\tM\t1976\tsingle\t47 East Bannock Road\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t435-598-2996\tB: 30,000 - 49,999\t3000\tBanas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6956\tDisa\tLovett\tF\t1963\t\t47 East Bayamon Road\t82203\tColmar\t51338\tAlsace\t52546\t52779\t293-158-1678\tD: 70,000 - 89,999\t10000\tLovett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6973\tElmo\tGrigsby\tM\t1930\t\t47 East Bennington Road\t77188\tMuenchen\t51928\tBayern\t52561\t52776\t294-654-8426\tC: 50,000 - 69,999\t7000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6980\tVicky\tSmyth\tF\t1948\tsingle\t17 Portage Court\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t341-440-6558\tH: 150,000 - 169,999\t7000\tSmyth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6994\tFlint\tPetrella\tM\t1945\tmarried\t47 East Bollinger Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t125-662-7785\tE: 90,000 - 109,999\t5000\tPetrella@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7008\tFreddy\tBeiers\tM\t1954\tmarried\t47 East Brazos Road\t91887\tStockdale\t52326\tPA\t52693\t52790\t169-771-4268\tG: 130,000 - 149,999\t5000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7023\tGavin\tVandermark\tM\t1973\t\t47 East Bullitt Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t350-305-7829\tF: 110,000 - 129,999\t10000\tVandermark@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7033\tGilbert\tHammer\tM\t1943\t\t47 East Caddo Road\t59742\tBethel Acres\t51184\tOK\t52689\t52790\t511-630-5295\tE: 90,000 - 109,999\t7000\tHammer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7034\tGilchrist\tLuna\tM\t1978\tmarried\t47 East Caguas Road\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t388-656-3937\tF: 110,000 - 129,999\t5000\tLuna@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7042\tGlen\tRosser\tM\t1984\tsingle\t47 East Camden Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t629-110-9920\tG: 130,000 - 149,999\t9000\tRosser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7043\tGlenn\tKendall\tM\t1950\tsingle\t47 East Campbell Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t377-571-5958\tH: 150,000 - 169,999\t10000\tKendall@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7109\tHolman\tKlesser\tM\t1943\t\t47 East Conecuh Road\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t469-632-6151\tG: 130,000 - 149,999\t15000\tKlesser@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7115\tHonda\tChang\tM\t1927\tmarried\t47 East Corson Road\t91316\tDarwin\t51381\tNorthern Territory\t52687\t52774\t488-509-8011\tB: 30,000 - 49,999\t7000\tChang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7118\tHorace\tPack\tM\t1979\tsingle\t47 East Cowlitz Road\t69776\tHiseville\t51663\tKY\t52632\t52790\t299-434-6537\tI: 170,000 - 189,999\t1500\tPack@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7144\tJackie\tPlayer\tF\t1940\tmarried\t47 East Decatur Road\t84020\tSykesville\t52335\tMD\t52652\t52790\t429-549-3946\tE: 90,000 - 109,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7147\tWinifred\tDaily\tM\t1944\tmarried\t17 Prince William Court\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t476-396-6560\tC: 50,000 - 69,999\t1500\tDaily@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7153\tJuan\tRobey\tM\t1949\t\t47 East Dewey Road\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t506-148-4708\tG: 130,000 - 149,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7172\tLiana\tCharron\tF\t1940\tsingle\t47 East Drew Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t679-658-8205\tA: Below 30,000\t1500\tCharron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7173\tLiane\tMalone\tF\t1937\t\t47 East Du Page Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t201-396-7686\tC: 50,000 - 69,999\t7000\tMalone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7182\tLionel\tHandkins\tM\t1986\tsingle\t47 East Ellizabeth Road\t75917\tMolino\t51917\tFL\t52595\t52790\t281-641-5135\tI: 170,000 - 189,999\t9000\tHandkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7187\tLogan\tDunhill\tM\t1978\tsingle\t47 East Emmet Road\t88252\tCrownpoint\t51346\tIN\t52621\t52790\t682-514-6395\tH: 150,000 - 169,999\t5000\tDunhill@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7188\tLois\tZhang\tM\t1933\tsingle\t47 East Erie Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t471-580-7555\tD: 70,000 - 89,999\t9000\tZhang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7193\tLona\tLucca\tF\t1953\t\t47 East Fairfax Road\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t124-640-9975\tE: 90,000 - 109,999\t7000\tLucca@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7197\tLorrel\tKruger\tF\t1968\tmarried\t47 East Faulk Road\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t127-151-2999\tF: 110,000 - 129,999\t1500\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7200\tLoui\tStock\tM\t1955\tmarried\t47 East Federated States Road\t58488\tDolores\t51391\tCO\t52569\t52790\t153-209-4798\tF: 110,000 - 129,999\t5000\tStock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7208\tLucille\tBradley\tF\t1973\t\t47 East Forsyth Road\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t480-120-1700\tE: 90,000 - 109,999\t9000\tBradley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7220\tLynn\tHardesty\tM\t1965\tmarried\t47 East Garfield Road\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t399-465-3765\tG: 130,000 - 149,999\t5000\tHardesty@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7224\tDiona\tBaum\tF\t1933\t\t7 South Charles Circle\t67843\tArbuckle\t51069\tCA\t52567\t52790\t240-433-7251\tC: 50,000 - 69,999\t3000\tBaum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7226\tMacklin\tManning\tM\t1976\tsingle\t47 East Genesee Road\t54148\tMaastricht\t51889\tLimburg\t52646\t52770\t340-667-3450\tB: 30,000 - 49,999\t3000\tManning@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7233\tMadeline\tGrailing\tF\t1971\t\t47 East Goshen Road\t65440\tWuppertal\t52519\tNordrhein-Westfalen\t52684\t52776\t431-455-1773\tD: 70,000 - 89,999\t7000\tGrailing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7236\tWoodward\tGlad\tM\t1968\tsingle\t17 Raleigh Court\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t564-641-4513\tI: 170,000 - 189,999\t7000\tGlad@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7237\tMae\tKugel\tF\t1968\tsingle\t47 East Grafton Road\t61189\tEvinston\t51459\tFL\t52595\t52790\t659-666-2494\tI: 170,000 - 189,999\t10000\tKugel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7244\tMandisa\tCooper\tF\t1980\tsingle\t47 East Grayson Road\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t571-425-2367\tH: 150,000 - 169,999\t1500\tCooper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7257\tMarshall\tKotch\tM\t1972\tmarried\t47 East Guthrie Road\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t152-734-6900\tB: 30,000 - 49,999\t1500\tKotch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7259\tMartin\tRohrback\tM\t1921\tsingle\t47 East Gwinnett Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t482-411-5850\tA: Below 30,000\t1500\tRohrback@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7261\tMarvin\tAdams\tM\t1980\tmarried\t47 East Hampden Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t663-369-1244\tE: 90,000 - 109,999\t5000\tAdams@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7271\tMead\tGlad\tM\t1950\tmarried\t47 East Harnett Road\t69812\tMerton\t51911\tEngland - Greater London\t52589\t52789\t301-652-5147\tA: Below 30,000\t1500\tGlad@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7272\tMeredith\tNickols\tM\t1938\tsingle\t47 East Harney Road\t69812\tMerton\t51911\tEngland - Greater London\t52589\t52789\t684-740-4833\tF: 110,000 - 129,999\t3000\tNickols@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7273\tMerrell\tRosenblum\tM\t1960\t\t47 East Harrison Road\t34646\tGirona\t51582\tGirona\t52611\t52778\t587-261-3218\tG: 130,000 - 149,999\t7000\tRosenblum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7276\tMike\tPackerman\tM\t1948\t\t47 East Hatillo Road\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t472-189-4523\tE: 90,000 - 109,999\t10000\tPackerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7284\tMitchel\tLamay\tM\t1934\tmarried\t47 East Hill Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t417-759-7874\tC: 50,000 - 69,999\t1500\tLamay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7286\tMorel\tGrier\tM\t1966\tsingle\t47 East Hidalgo Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t338-768-6759\tI: 170,000 - 189,999\t7000\tGrier@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7288\tMorley\tKillman\tM\t1968\tsingle\t47 East Hillside Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t376-463-9412\tH: 150,000 - 169,999\t9000\tKillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7305\tNelson\tJustice\tM\t1948\tsingle\t47 East Humacao Road\t88666\tMiddelburg\t51912\tZeeland\t52770\t52770\t216-674-9271\tH: 150,000 - 169,999\t5000\tJustice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7307\tOctavia\tKlebe\tM\t1932\tmarried\t47 East Hunterdon Road\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t115-298-8791\tC: 50,000 - 69,999\t5000\tKlebe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7309\tOlive\tEagle\tM\t1959\t\t47 East Huron Road\t45704\tMackville\t51890\tKY\t52632\t52790\t302-410-1627\tD: 70,000 - 89,999\t10000\tEagle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7312\tOna\tParks\tM\t1958\t\t47 East Indiana Road\t46394\tPassau\t52104\tBayern\t52561\t52776\t646-779-6458\tJ: 190,000 - 249,999\t9000\tParks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7314\tOpal\tVance\tM\t1984\t\t47 East Information Road\t46394\tPassau\t52104\tBayern\t52561\t52776\t188-701-4469\tL: 300,000 and above\t7000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7321\tOrilla\tLauderdale\tF\t1983\tsingle\t47 East Island Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t626-780-3532\tF: 110,000 - 129,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7331\tPatrick\tMallory\tM\t1971\tsingle\t47 East Johnston Road\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t148-552-6653\tG: 130,000 - 149,999\t3000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7350\tPhilana\tLibby\tM\t1969\t\t47 East King And Road\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t102-533-5775\tF: 110,000 - 129,999\t10000\tLibby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7373\tRama\tLauers\tM\t1973\t\t47 East Lamoille Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t309-161-7304\tF: 110,000 - 129,999\t7000\tLauers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7375\tRamona\tBarry\tF\t1947\tsingle\t47 East Lancaster Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t203-328-3696\tG: 130,000 - 149,999\t11000\tBarry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7379\tRandal\tKraft\tM\t1966\tsingle\t47 East Las Piedras Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t342-671-7569\tK: 250,000 - 299,999\t9000\tKraft@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7389\tRayburn\tLease\tM\t1928\t\t47 East Lee Road\t55787\tMontara\t51919\tCA\t52567\t52790\t627-438-3050\tB: 30,000 - 49,999\t1500\tLease@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7429\tRolf\tGentle\tM\t1943\t\t47 East Marin Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t218-638-7249\tD: 70,000 - 89,999\t10000\tGentle@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7432\tRollo\tRider\tM\t1947\t\t47 East Marion Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t485-453-5841\tF: 110,000 - 129,999\t7000\tRider@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7435\tYolanda\tReed\tF\t1953\t\t17 Rincon Court\t79032\tMolsheim\t51918\tAlsace\t52546\t52779\t449-241-4246\tJ: 190,000 - 249,999\t9000\tReed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7439\tRonni\tLloyd\tM\t1978\t\t47 East Matagorda Road\t90074\tBremen\t51215\tBremen\t52564\t52776\t652-422-9656\tE: 90,000 - 109,999\t7000\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7441\tRosalie\tParker\tF\t1958\tsingle\t47 East Mayaguez Road\t86222\tAmsterdam\t51064\tNoord-Holland\t52683\t52770\t623-333-9172\tF: 110,000 - 129,999\t9000\tParker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7483\tSampson\tPearson\tM\t1958\t\t47 East Monroe Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t208-541-8020\tE: 90,000 - 109,999\t10000\tPearson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7485\tTalia\tKirk\tF\t1951\tsingle\t47 East Montcalm Road\t74050\tGlennie\t51584\tMI\t52654\t52790\t312-449-3551\tH: 150,000 - 169,999\t3000\tKirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7487\tTamara\tBallanger\tM\t1953\tsingle\t47 East Montgomery Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t330-293-6650\tH: 150,000 - 169,999\t5000\tBallanger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7518\tThom\tDwyer\tF\t1941\t\t47 East Noble Road\t63838\tGouda\t51588\tZuid-Holland\t52771\t52770\t318-775-4109\tE: 90,000 - 109,999\t3000\tDwyer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7543\tTownsend\tBarker\tM\t1972\tmarried\t47 East Orange Road\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t308-304-7804\tF: 110,000 - 129,999\t1500\tBarker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7556\tTristan\tSmeed\tM\t1950\tmarried\t47 East Ozaukee Road\t35679\tCoburg\t51335\tBayern\t52561\t52776\t418-303-3859\tE: 90,000 - 109,999\t1500\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7567\tUla\tBarden\tM\t1955\tsingle\t47 East Parke Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t647-350-8620\tH: 150,000 - 169,999\t5000\tBarden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7570\tUlrick\tReilly\tM\t1958\tsingle\t47 East Pasco Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t336-776-7713\tI: 170,000 - 189,999\t10000\tReilly@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7572\tUna\tKirwin\tM\t1982\tsingle\t47 East Patrick Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t337-516-3113\tF: 110,000 - 129,999\t3000\tKirwin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7574\tUpton\tGray\tM\t1951\tmarried\t47 East Payne Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t341-119-6003\tG: 130,000 - 149,999\t5000\tGray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7583\tValdis\tBakker\tM\t1971\t\t47 East Pickaway Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t333-346-7656\tD: 70,000 - 89,999\t10000\tBakker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7584\tVale\tZanth\tF\t1951\tsingle\t47 East Pickens Road\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t531-122-8846\tI: 170,000 - 189,999\t1500\tZanth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7586\tValentine\tKitts\tF\t1964\t\t47 East Pike Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t321-329-5346\tE: 90,000 - 109,999\t7000\tKitts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7588\tValeriana\tLefevre\tF\t1941\t\t47 East Pittsburg Road\t36830\tLocust Valley\t51803\tNY\t52679\t52790\t520-695-3392\tE: 90,000 - 109,999\t9000\tLefevre@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7639\tXavier\tPainter\tM\t1940\t\t47 East Republic Road\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t560-708-9744\tC: 50,000 - 69,999\t7000\tPainter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7646\tZylia\tLegard\tF\t1955\tmarried\t17 Rutland Court\t91767\tRotterdam\t52176\tZuid-Holland\t52771\t52770\t297-247-5627\tJ: 190,000 - 249,999\t7000\tLegard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7648\tYvette\tWaddell\tM\t1950\tsingle\t47 East Riverside Road\t82203\tColmar\t51338\tAlsace\t52546\t52779\t109-770-7219\tG: 130,000 - 149,999\t9000\tWaddell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7652\tZachary\tRowls\tM\t1972\t\t47 East Robertson Road\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t481-665-1317\tE: 90,000 - 109,999\t7000\tRowls@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7663\tZillah\tDriscoll\tF\t1978\tmarried\t47 East Rush Road\t75603\tPalmdale\t52102\tFL\t52595\t52790\t242-282-7756\tF: 110,000 - 129,999\t1500\tDriscoll@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7672\tAbigail\tKessel\tM\t1972\tmarried\t47 East Sagadahoc Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t664-133-3881\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7676\tAda\tNenninger\tF\t1944\tsingle\t47 East Saint Francis Road\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t222-389-1879\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7678\tAngie\tRiffken\tF\t1974\tmarried\t47 East Saint Louis Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t190-299-1668\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7680\tAnand\tHanes\tM\t1959\tsingle\t47 East Salinas Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t233-291-5959\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7693\tAubrey\tWeston\tM\t1942\tsingle\t47 East San Miguel Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t516-150-5640\tG: 130,000 - 149,999\t5000\tWeston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7695\tAugust\tLaycock\tF\t1942\tmarried\t47 East Sanborn Road\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t119-286-9080\tD: 70,000 - 89,999\t5000\tLaycock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7719\tBelinda\tBeiers\tF\t1958\tsingle\t47 East Shelby Road\t75704\tSaint-Emilion\t52282\tAquitaine\t52548\t52779\t185-506-2407\tK: 250,000 - 299,999\t11000\tBeiers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7720\tBelle\tLowers\tF\t1979\t\t47 East Shell Road\t88199\tMurdock\t51933\tNE\t52666\t52790\t608-366-5464\tF: 110,000 - 129,999\t7000\tLowers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7731\tBessie\tSandburg\tF\t1955\tsingle\t47 East Somerset Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t661-358-7058\tI: 170,000 - 189,999\t1500\tSandburg@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7747\tAngie\tLauderdale\tF\t1951\tmarried\t17 Saint Louis Court\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t423-455-4908\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7760\tBradley\tSmith\tM\t1978\t\t47 East Sweetwater Road\t50032\tDecatur\t51382\tTX\t52745\t52790\t272-139-6807\tG: 130,000 - 149,999\t7000\tSmith@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7771\tBriana\tRoseberry\tF\t1964\tmarried\t47 East Technology Road\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t428-761-5146\tL: 300,000 and above\t9000\tRoseberry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7783\tByron\tSandoval\tM\t1983\tsingle\t47 East Toa Alta Road\t52383\tLublin\t51809\tLublin\t52648\t52786\t494-379-7482\tG: 130,000 - 149,999\t9000\tSandoval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7792\tAnnie\tBarr\tF\t1979\t\t17 Salt Lake Court\t80491\tVidalia\t52441\tLA\t52641\t52790\t246-610-1779\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7795\tCandace\tGeiss\tM\t1945\tmarried\t47 East Trumbull Road\t31794\tBilthoven\t51189\tUtrecht\t52750\t52770\t150-783-9592\tF: 110,000 - 129,999\t5000\tGeiss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7842\tDinah\tGrimshaw\tF\t1965\tsingle\t47 East Weber Road\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t373-663-6474\tI: 170,000 - 189,999\t9000\tGrimshaw@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7845\tDisa\tReid\tF\t1936\tsingle\t47 East Wells Road\t90900\tMendham\t51908\tNJ\t52670\t52790\t268-136-4457\tD: 70,000 - 89,999\t3000\tReid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7862\tElmo\tPatterson\tM\t1955\t\t47 East Windham Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t107-472-4474\tC: 50,000 - 69,999\t9000\tPatterson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7867\tEric\tEvans\tM\t1941\tmarried\t47 East Winnebago Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t662-322-9441\tF: 110,000 - 129,999\t5000\tEvans@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7875\tEva\tDunford\tF\t1983\t\t47 East Wythe Road\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t175-739-5716\tE: 90,000 - 109,999\t9000\tDunford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7878\tEzra\tCartwright\tM\t1941\tsingle\t47 East Yakima Road\t92117\tOranjewoud\t52037\tFriesland\t52600\t52770\t248-758-7435\tD: 70,000 - 89,999\t3000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7904\tGalen\tKatz\tM\t1962\tsingle\t47 West Airway Road\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t675-216-9954\tI: 170,000 - 189,999\t10000\tKatz@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7909\tGarth\tKruger\tM\t1973\t\t47 West Albemarle Road\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t110-735-2371\tE: 90,000 - 109,999\t9000\tKruger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7913\tGaylord\tZoldos\tM\t1939\t\t47 West Allamakee Road\t47425\tChambery\t51322\tRhtne-Alpes\t52711\t52779\t157-188-7915\tF: 110,000 - 129,999\t7000\tZoldos@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7930\tGladys\tIrving\tM\t1981\tsingle\t47 West Ascension Road\t48151\tLevallois-Perret\t51794\tIle-de-France\t52623\t52779\t383-545-2959\tH: 150,000 - 169,999\t10000\tIrving@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7935\tGodfrey\tKnox\tM\t1951\tsingle\t47 West Atlantic Road\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t513-114-7421\tK: 250,000 - 299,999\t11000\tKnox@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7940\tGrant\tKing\tM\t1962\t\t47 West Avoyelles Road\t87082\tEmden\t51450\tNiedersachsen\t52681\t52776\t537-413-1876\tG: 130,000 - 149,999\t7000\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7958\tAzalie\tHaske\tM\t1950\tsingle\t17 Santa Clara Court\t65910\tGreat Yarmouth\t51590\tEngland - Norfolk\t52591\t52789\t230-544-8730\tH: 150,000 - 169,999\t3000\tHaske@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7981\tHelen\tCase\tF\t1964\tmarried\t47 West Bexar Road\t47996\tOran\t52035\tMO\t52657\t52790\t436-788-6075\tL: 300,000 and above\t7000\tCase@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7985\tHenrietta\tSnodgrass\tF\t1936\tsingle\t47 West Bird Island Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t199-591-9860\tD: 70,000 - 89,999\t3000\tSnodgrass@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7987\tHerbert\tPackerman\tM\t1951\tmarried\t47 West Black Sand Beach Road\t91213\tSecunderabad\t52303\tAndhra Pradesh\t52547\t52771\t626-635-3316\tD: 70,000 - 89,999\t5000\tPackerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8007\tHorace\tBurnns\tM\t1968\tsingle\t47 West Brazoria Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t413-357-9106\tI: 170,000 - 189,999\t7000\tBurnns@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8009\tHortense\tHanrahan\tM\t1932\tsingle\t47 West Breathitt Road\t46394\tPassau\t52104\tBayern\t52561\t52776\t215-491-6828\tB: 30,000 - 49,999\t1500\tHanrahan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8037\tJamilah\tAtkins\tF\t1962\t\t47 West Caldwell Road\t79359\tLindau\t51798\tBayern\t52561\t52776\t640-411-9084\tA: Below 30,000\t1500\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8039\tJonathan\tWolsey\tM\t1940\t\t47 West California Road\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t309-369-8521\tE: 90,000 - 109,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8076\tLogan\tElgin\tM\t1967\tsingle\t47 West Cheyenne Road\t73370\tLamar\t51785\tNE\t52666\t52790\t666-361-2231\tH: 150,000 - 169,999\t10000\tElgin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8078\tLola\tYarborough\tM\t1944\tsingle\t47 West Chickasaw Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t121-386-7457\tF: 110,000 - 129,999\t3000\tYarborough@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8092\tLouise\tBurgess\tM\t1989\t\t47 West Clayton Road\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t103-701-6019\tL: 300,000 and above\t11000\tBurgess@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8095\tLucette\tRothrock\tM\t1948\tsingle\t47 West Clinton Road\t68975\tBuckley\t51222\tWA\t52757\t52790\t218-237-8994\tF: 110,000 - 129,999\t9000\tRothrock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8118\tMaddox\tKelleher\tM\t1954\tsingle\t47 West Cowlitz Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t463-609-6025\tI: 170,000 - 189,999\t1500\tKelleher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8131\tMallory\tGrace\tM\t1963\tmarried\t47 West Dale Road\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t183-461-4255\tE: 90,000 - 109,999\t1500\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8132\tManda\tPardue\tF\t1980\tsingle\t47 West Dallas Road\t90074\tBremen\t51215\tBremen\t52564\t52776\t276-555-8340\tD: 70,000 - 89,999\t3000\tPardue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8138\tMara\tWeatherford\tF\t1948\tmarried\t47 West Day Road\t82774\tKent\t51724\tCT\t52572\t52790\t410-518-6765\tG: 130,000 - 149,999\t3000\tWeatherford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8145\tMarshal\tLassiter\tM\t1946\tsingle\t47 West Deer Lodge Road\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t650-467-9979\tF: 110,000 - 129,999\t3000\tLassiter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8167\tMiles\tTazelar\tM\t1972\tmarried\t47 West Dooly Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t173-438-9369\tB: 30,000 - 49,999\t5000\tTazelar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8172\tMitch\tDutton\tM\t1965\tsingle\t47 West Drew Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t651-619-1322\tA: Below 30,000\t1500\tDutton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8184\tMurray\tWalker\tM\t1936\tmarried\t47 West Emanuel Road\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t318-262-5274\tB: 30,000 - 49,999\t1500\tWalker@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8187\tMyron\tFaulk\tM\t1953\tsingle\t47 West Emmet Road\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t584-750-2127\tH: 150,000 - 169,999\t5000\tFaulk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8188\tNola\tMullins\tF\t1972\tsingle\t47 West Erie Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t165-445-4725\tD: 70,000 - 89,999\t9000\tMullins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8196\tOctavia\tKirk\tM\t1960\t\t47 West Fannin Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t547-550-8876\tC: 50,000 - 69,999\t3000\tKirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8208\tOriena\tKitchens\tF\t1946\t\t47 West Forsyth Road\t45815\tBatu Ferringhi\t51169\tPenang\t52700\t52769\t683-341-8779\tE: 90,000 - 109,999\t9000\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8217\tPamela\tRodgers\tF\t1938\tmarried\t47 West Gage Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t244-422-9395\tE: 90,000 - 109,999\t1500\tRodgers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8236\tBertha\tKuehler\tF\t1965\t\t17 Siskiyou Court\t59061\tSanibel\t52292\tFL\t52595\t52790\t388-288-9472\tD: 70,000 - 89,999\t7000\tKuehler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8246\tPortia\tColter\tF\t1967\t\t47 West Greenup Road\t49828\tOxford, NJ\t52042\tNJ\t52670\t52790\t422-442-5733\tF: 110,000 - 129,999\t7000\tColter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8248\tPrane\tOppy\tM\t1969\tmarried\t47 West Greenwood Road\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t137-672-3449\tG: 130,000 - 149,999\t5000\tOppy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8252\tPsyche\tDunlop\tM\t1950\tsingle\t47 West Guayanilla Road\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t321-737-3170\tI: 170,000 - 189,999\t3000\tDunlop@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8260\tRalph\tKenyon\tM\t1968\t\t47 West Hamilton Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t546-720-9188\tE: 90,000 - 109,999\t7000\tKenyon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8265\tRamsay\tAlden\tM\t1948\tsingle\t47 West Harbor Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t564-293-4568\tH: 150,000 - 169,999\t5000\tAlden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8285\tRedmond\tGray\tM\t1945\t\t47 West Hilly Road\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t449-560-1007\tE: 90,000 - 109,999\t3000\tGray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8339\tRosemary\tBrown\tF\t1971\tmarried\t47 West Kaufman Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t169-349-9902\tK: 250,000 - 299,999\t11000\tBrown@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8351\tRudolph\tPainter\tM\t1979\tmarried\t47 West Kingman Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t254-129-8947\tJ: 190,000 - 249,999\t9000\tPainter@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8352\tRudyard\tGilbert\tM\t1959\tsingle\t47 West Kiowa Road\t75603\tPalmdale\t52102\tFL\t52595\t52790\t688-119-9144\tG: 130,000 - 149,999\t3000\tGilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8357\tRussell\tValentino\tM\t1941\tmarried\t47 West Kootenai Road\t73992\tSt Charles\t52322\tMD\t52652\t52790\t516-752-1425\tF: 110,000 - 129,999\t1500\tValentino@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8362\tSabrina\tBarnett\tF\t1948\tsingle\t47 West La Plata Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t655-122-3910\tI: 170,000 - 189,999\t11000\tBarnett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8365\tSally\tFilbert\tF\t1986\tsingle\t47 West Lac Qui Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t388-424-2870\tH: 150,000 - 169,999\t3000\tFilbert@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8374\tTalia\tObrien\tF\t1951\tsingle\t47 West Lampasas Road\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t377-790-4976\tH: 150,000 - 169,999\t5000\tObrien@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8380\tBillie\tLein\tM\t1936\tmarried\t17 Starr Court\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t447-398-6209\tE: 90,000 - 109,999\t5000\tLein@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8402\tBlaine\tFernandez\tM\t1947\tsingle\t17 Steele Court\t70807\tBridgeport\t51216\tIL\t52619\t52790\t112-361-3342\tH: 150,000 - 169,999\t15000\tFernandez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8403\tTheodric\tWeston\tM\t1927\t\t47 West Logan Road\t63033\tGroningen\t51593\tGroningen\t52612\t52770\t174-456-9936\tC: 50,000 - 69,999\t3000\tWeston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8411\tThurston\tDurby\tM\t1982\tsingle\t47 West Luquillo Road\t83335\tPurmerend\t52115\tNoord-Holland\t52683\t52770\t406-754-7676\tF: 110,000 - 129,999\t3000\tDurby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8437\tTravis\tKimball\tM\t1958\tmarried\t47 West Martin Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t212-724-3558\tL: 300,000 and above\t9000\tKimball@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8442\tTrina\tMozzes\tF\t1946\t\t47 West Mcclain Road\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t226-428-6253\tG: 130,000 - 149,999\t15000\tMozzes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8445\tTristan\tRellis\tM\t1933\t\t47 West Mcdowell Road\t31685\tSyracuse\t52336\tNE\t52666\t52790\t389-557-8948\tE: 90,000 - 109,999\t7000\tRellis@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8453\tTyrone\tWilliamson\tM\t1950\t\t47 West Mclennan Road\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t528-389-8590\tB: 30,000 - 49,999\t1500\tWilliamson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8492\tVida\tEmmerson\tF\t1955\t\t47 West Mora Road\t83004\tMineral\t51914\tVA\t52751\t52790\t408-344-3099\tC: 50,000 - 69,999\t3000\tEmmerson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8493\tViola\tSandoval\tF\t1968\t\t47 West Morehouse Road\t38931\tCape Town\t51315\tSouth Africa\t52740\t52791\t267-573-8577\tA: Below 30,000\t1500\tSandoval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8495\tVirginia\tLee\tF\t1947\tsingle\t47 West Morovis Road\t54725\tBochum\t51202\tNordrhein-Westfalen\t52684\t52776\t600-280-9536\tG: 130,000 - 149,999\t11000\tLee@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8513\tBonnibelle\tWong\tM\t1948\tmarried\t17 Sumter Court\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t582-410-6047\tD: 70,000 - 89,999\t5000\tWong@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8530\tXylon\tSullivan\tM\t1955\tmarried\t47 West Oconee Road\t74553\tVoorburg\t52443\tZuid-Holland\t52771\t52770\t234-363-1057\tF: 110,000 - 129,999\t1500\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8532\tYates\tNance\tM\t1959\t\t47 West Ohio Road\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t662-471-8774\tF: 110,000 - 129,999\t7000\tNance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8543\tZaneta\tLipp\tM\t1943\tmarried\t47 West Orange Road\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t248-127-6729\tF: 110,000 - 129,999\t1500\tLipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8544\tZebedee\tMulholland\tM\t1936\tsingle\t47 West Oregon Road\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t540-570-8508\tD: 70,000 - 89,999\t3000\tMulholland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8553\tZoe\tBaum\tM\t1951\tmarried\t47 West Owen Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t490-348-4420\tG: 130,000 - 149,999\t5000\tBaum@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8558\tBoyd\tGowen\tM\t1960\tsingle\t17 Suwannee Court\t35348\tFoxborough\t51516\tMA\t52649\t52790\t224-701-4712\tL: 300,000 and above\t11000\tGowen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8563\tAbsolom\tRice\tM\t1974\t\t47 West Palm Springs Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t499-771-7264\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8564\tAda\tBaley\tF\t1937\tmarried\t47 West Palo Pinto Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t431-644-5810\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8566\tAngie\tPlayer\tF\t1963\t\t47 West Park Road\t88021\tSully\t52333\tIA\t52618\t52790\t656-590-4200\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8578\tArthur\tEvans\tM\t1947\tsingle\t47 West Perkins Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t157-305-6060\tF: 110,000 - 129,999\t3000\tEvans@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8586\tAzalea\tDunford\tM\t1933\t\t47 West Pike Road\t58488\tDolores\t51391\tCO\t52569\t52790\t689-499-6581\tE: 90,000 - 109,999\t7000\tDunford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8589\tBabs\tCartwright\tM\t1957\t\t47 West Pittsylvania Road\t36360\tBolsward\t51204\tFriesland\t52600\t52770\t482-656-2867\tF: 110,000 - 129,999\t10000\tCartwright@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8590\tBailey\tThompson\tM\t1977\tmarried\t47 West Placer Road\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t132-659-3541\tB: 30,000 - 49,999\t1500\tThompson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8600\tBasil\tKrebs\tF\t1957\tsingle\t47 West Portage Road\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t513-187-5523\tH: 150,000 - 169,999\t5000\tKrebs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8617\tBertram\tPilcher\tM\t1950\tmarried\t47 West Prince William Road\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t338-132-1820\tC: 50,000 - 69,999\t1500\tPilcher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8618\tBeryl\tYan\tM\t1965\t\t47 West Providence Road\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t620-800-3879\tE: 90,000 - 109,999\t3000\tYan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8621\tBett\tUram\tF\t1984\tsingle\t47 West Putnam Road\t61189\tEvinston\t51459\tFL\t52595\t52790\t588-686-4260\tH: 150,000 - 169,999\t9000\tUram@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8631\tBlaine\tGroup\tM\t1960\tsingle\t47 West Rappahannock Road\t87082\tEmden\t51450\tNiedersachsen\t52681\t52776\t194-684-4239\tH: 150,000 - 169,999\t3000\tGroup@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8634\tBlenda\tVale\tM\t1946\tsingle\t47 West Redwood Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t616-537-3870\tF: 110,000 - 129,999\t9000\tVale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8653\tBrenda\tTyler\tM\t1935\tmarried\t47 West Robeson Road\t69812\tMerton\t51911\tEngland - Greater London\t52589\t52789\t549-797-5207\tD: 70,000 - 89,999\t5000\tTyler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8657\tBrenna\tResnick\tF\t1929\tsingle\t17 Tate Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t320-208-3043\tA: Below 30,000\t1500\tResnick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8659\tBriana\tPierce\tF\t1963\tsingle\t47 West Ross Road\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t178-420-3071\tL: 300,000 and above\t9000\tPierce@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8670\tBuick\tBane\tM\t1973\t\t47 West Sacramento Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t368-509-5604\tB: 30,000 - 49,999\t1500\tBane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8706\tDeanna\tLamay\tF\t1965\t\t47 West Schuyler Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t203-673-3267\tF: 110,000 - 129,999\t7000\tLamay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8728\tDiana\tChambliss\tF\t1929\t\t47 West Smith Road\t34800\tCochin Kochi\t51337\tKerala\t52636\t52771\t643-396-1888\tC: 50,000 - 69,999\t11000\tChambliss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8732\tDione\tTillman\tF\t1956\tsingle\t47 West Spink Road\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t204-179-2570\tH: 150,000 - 169,999\t7000\tTillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8755\tEric\tPoe\tM\t1963\t\t47 West Surry Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t317-209-4382\tF: 110,000 - 129,999\t10000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8763\tEva\tJanney\tF\t1949\tmarried\t47 West Tallahatchie Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t485-120-1871\tE: 90,000 - 109,999\t1500\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8776\tFran\tKeeting\tF\t1938\tmarried\t47 West Theatre Road\t76764\tAubervilliers\t51080\tIle-de-France\t52623\t52779\t168-643-7055\tE: 90,000 - 109,999\t1500\tKeeting@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8780\tEmmanuel\tRudder\tM\t1974\tmarried\t7 South Chisago Circle\t73370\tLamar\t51785\tNE\t52666\t52790\t635-240-4944\tE: 90,000 - 109,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8790\tGail\tYarborough\tF\t1946\tsingle\t47 West Trego Road\t52602\tBlountstown\t51200\tFL\t52595\t52790\t130-263-7760\tH: 150,000 - 169,999\t15000\tYarborough@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8805\tGeoffrey\tWan\tM\t1973\tmarried\t47 West Upshur Road\t53086\tSan Mateo\t52290\tCA\t52567\t52790\t575-439-5848\tG: 130,000 - 149,999\t1500\tWan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8816\tGina\tOddell\tF\t1942\t\t47 West Viginia Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t636-723-9405\tE: 90,000 - 109,999\t9000\tOddell@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8818\tGinger\tMahood\tF\t1951\tmarried\t47 West Vilas Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t197-485-1661\tF: 110,000 - 129,999\t1500\tMahood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8842\tGwendolyn\tGrace\tM\t1961\tsingle\t47 West Weber Road\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t527-768-2954\tI: 170,000 - 189,999\t9000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8844\tGwynne\tGrandy\tM\t1949\tsingle\t47 West Weld Road\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t518-463-6128\tH: 150,000 - 169,999\t3000\tGrandy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8849\tHalrlan\tWeatherford\tM\t1953\tsingle\t47 West Whatcom Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t306-332-1592\tI: 170,000 - 189,999\t9000\tWeatherford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8863\tHaywood\tMurray\tM\t1930\t\t47 West Windmill Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t671-298-4865\tC: 50,000 - 69,999\t3000\tMurray@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8865\tHeather\tBaltimore\tF\t1946\tsingle\t47 West Windy trail Road\t83805\tNorth Druid Hills\t51990\tGE\t52604\t52790\t364-410-3072\tD: 70,000 - 89,999\t3000\tBaltimore@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8870\tHelen\tTanney\tF\t1963\tsingle\t47 West Woodside Road\t74050\tGlennie\t51584\tMI\t52654\t52790\t225-701-4356\tL: 300,000 and above\t15000\tTanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8895\tHope\tVickers\tM\t1958\tmarried\t47 North 5th Road\t37631\tCandler\t51310\tFL\t52595\t52790\t362-692-2220\tK: 250,000 - 299,999\t7000\tVickers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8898\tHortense\tEaton\tM\t1949\tmarried\t47 North Adair Road\t76956\tOtway\t52040\tOH\t52688\t52790\t106-258-6189\tB: 30,000 - 49,999\t1500\tEaton@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8904\tIda\tJanssen\tF\t1953\tsingle\t47 North Airway Road\t42298\tWitney\t52513\tEngland - Oxfordshire\t52592\t52789\t337-173-4180\tI: 170,000 - 189,999\t10000\tJanssen@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8905\tIdette\tStokley\tF\t1947\tmarried\t47 North Aitkin Road\t66241\tJerome\t51697\tAR\t52540\t52790\t638-287-5819\tC: 50,000 - 69,999\t1500\tStokley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8909\tImogen\tIreland\tM\t1946\t\t47 North Albemarle Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t245-461-5270\tE: 90,000 - 109,999\t9000\tIreland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8914\tCandace\tEubank\tM\t1972\tmarried\t17 Trumbull Court\t83335\tPurmerend\t52115\tNoord-Holland\t52683\t52770\t633-533-3845\tF: 110,000 - 129,999\t5000\tEubank@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9000\tMabel\tNettles\tF\t1975\tmarried\t47 North Bowie Road\t87551\tSoest\t52318\tUtrecht\t52750\t52770\t536-321-4371\tJ: 190,000 - 249,999\t7000\tNettles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9011\tMadeline\tLefevre\tF\t1979\tmarried\t47 North Brevard Road\t90304\tHolden\t51665\tWV\t52762\t52790\t233-546-7643\tD: 70,000 - 89,999\t1500\tLefevre@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9012\tMadge\tGimes\tM\t1972\tsingle\t47 North Brewster Road\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t613-427-5149\tH: 150,000 - 169,999\t3000\tGimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9018\tMaisie\tKindred\tF\t1972\tmarried\t47 North Brown Road\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t688-564-1243\tJ: 190,000 - 249,999\t9000\tKindred@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9025\tCarrol\tKane\tF\t1939\tsingle\t17 Upton Court\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t586-687-5125\tD: 70,000 - 89,999\t3000\tKane@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9026\tManvil\tLavin\tM\t1948\tsingle\t47 North Butterfly Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t119-672-8452\tG: 130,000 - 149,999\t5000\tLavin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9027\tMara\tJohn\tF\t1950\t\t47 North Bureau Road\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t356-266-6463\tG: 130,000 - 149,999\t7000\tJohn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9035\tMarshall\tKahn\tM\t1930\tsingle\t47 North Calaveras Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t329-603-3527\tB: 30,000 - 49,999\t1500\tKahn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9040\tMarwin\tBartlett\tM\t1949\t\t47 North Calhoun Road\t41847\tEdgewood\t51443\tKY\t52632\t52790\t377-792-9826\tF: 110,000 - 129,999\t7000\tBartlett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9041\tMason\tMumm\tM\t1966\tsingle\t47 North Cambria Road\t85551\tGoodhope\t51587\tIL\t52619\t52790\t699-449-7068\tH: 150,000 - 169,999\t5000\tMumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9059\tMiranda\tRicketts\tF\t1956\tsingle\t47 North Catawba Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t582-524-2224\tJ: 190,000 - 249,999\t11000\tRicketts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9069\tCecil\tMotion\tF\t1971\tsingle\t17 Vega Baja Court\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t299-318-7955\tH: 150,000 - 169,999\t10000\tMotion@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9072\tMurdock\tNapper\tM\t1983\tsingle\t47 North Cherry country Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t542-275-1832\tF: 110,000 - 129,999\t3000\tNapper@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9078\tNolita\tBanas\tF\t1941\tsingle\t47 North Chickasaw Road\t50840\tWarsaw\t52496\tWarsaw\t52765\t52786\t192-423-8115\tF: 110,000 - 129,999\t3000\tBanas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9082\tNorma\tBerry\tM\t1969\t\t47 North Choctaw Road\t47075\tApeldoorn\t51068\tGelderland\t52610\t52770\t295-454-4391\tE: 90,000 - 109,999\t9000\tBerry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9088\tOliver\tValdez\tM\t1944\tsingle\t47 North Clark Road\t74793\tLunel\t51812\tLanguedoc-Roussillon\t52645\t52779\t365-773-3912\tF: 110,000 - 129,999\t9000\tValdez@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9103\tPage\tKoch\tM\t1951\tsingle\t47 North Coleman Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t212-664-1185\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9106\tPamela\tGrigsby\tF\t1962\t\t47 North Columbia Road\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t469-169-3444\tE: 90,000 - 109,999\t7000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9110\tPatricia\tCarr\tF\t1963\tmarried\t47 North Cook Road\t59742\tBethel Acres\t51184\tOK\t52689\t52790\t488-556-6079\tE: 90,000 - 109,999\t1500\tCarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9121\tPersephone\tUmstatt\tM\t1978\tsingle\t47 North Crittenden Road\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t441-688-5216\tI: 170,000 - 189,999\t5000\tUmstatt@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9127\tPhil\tArdena\tM\t1962\t\t47 North Currituck Road\t84434\tBourges\t51210\tCentre\t52573\t52779\t437-257-7514\tC: 50,000 - 69,999\t7000\tArdena@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9146\tRaina\tVaughn\tF\t1921\t\t47 North Dekalb Road\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t573-377-1821\tB: 30,000 - 49,999\t1500\tVaughn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9173\tRebecca\tZimmerman\tF\t1927\t\t47 North Du Page Road\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t373-390-1580\tC: 50,000 - 69,999\t9000\tZimmerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9238\tRoyden\tEverline\tM\t1948\tmarried\t47 North Grand Canyon Road\t87836\tChesterfield\t51324\tIL\t52619\t52790\t562-528-5411\tC: 50,000 - 69,999\t1500\tEverline@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9242\tRue\tSullivan\tM\t1961\t\t47 North Gratiot Road\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t339-118-3709\tE: 90,000 - 109,999\t9000\tSullivan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9248\tRutherford\tChang\tM\t1954\tmarried\t47 North Greenwood Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t324-150-8697\tG: 130,000 - 149,999\t5000\tChang@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9252\tSada\tSalem\tM\t1985\tsingle\t47 North Guayanilla Road\t30662\tQuimper\t52119\tBrittany\t52565\t52779\t689-385-4020\tI: 170,000 - 189,999\t3000\tSalem@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9267\tTania\tReid\tF\t1947\tsingle\t47 North Hardin Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t301-238-4883\tH: 150,000 - 169,999\t7000\tReid@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9293\tTheresa\tCurr\tF\t1957\tsingle\t47 North Holly Road\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t205-679-4759\tI: 170,000 - 189,999\t7000\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9297\tThomas\tDunford\tM\t1968\tmarried\t47 North Hormigueros Road\t52229\tKyoto\t51740\tKyoto\t52640\t52782\t194-373-5009\tF: 110,000 - 129,999\t1500\tDunford@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9311\tTobias\tKrebs\tM\t1962\tsingle\t47 North Idaho Road\t61189\tEvinston\t51459\tFL\t52595\t52790\t436-691-6386\tF: 110,000 - 129,999\t3000\tKrebs@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9315\tToland\tHandkins\tM\t1945\tsingle\t47 North Iowa Road\t89783\tDortmund\t51394\tNordrhein-Westfalen\t52684\t52776\t198-139-1372\tG: 130,000 - 149,999\t11000\tHandkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9338\tTroy\tRowe\tM\t1944\tmarried\t47 North Kanabec Road\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t413-379-2027\tG: 130,000 - 149,999\t3000\tRowe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9340\tTudor\tClipp\tM\t1964\tsingle\t47 North Kearney Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t215-540-3306\tI: 170,000 - 189,999\t7000\tClipp@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9346\tUland\tVale\tM\t1958\tsingle\t47 North Kershaw Road\t62476\tSheldon\t52308\tWI\t52760\t52790\t102-712-9145\tH: 150,000 - 169,999\t7000\tVale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9352\tUpton\tIrving\tM\t1984\tsingle\t47 North Kiowa Road\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t433-490-9108\tG: 130,000 - 149,999\t3000\tIrving@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9362\tVale\tKing\tF\t1973\tsingle\t47 North La Plata Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t514-764-4490\tI: 170,000 - 189,999\t9000\tKing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9366\tValeriana\tGrailing\tF\t1966\t\t47 North Lafayette Road\t47996\tOran\t52035\tMO\t52657\t52790\t240-630-1939\tE: 90,000 - 109,999\t7000\tGrailing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9370\tVance\tKugel\tM\t1972\t\t47 North Lake Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t309-675-6349\tA: Below 30,000\t1500\tKugel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9371\tVanessa\tPierce\tF\t1954\tmarried\t47 North Lake Tahoe Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t151-444-1072\tE: 90,000 - 109,999\t1500\tPierce@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9384\tVirginia\tGroves\tF\t1946\tmarried\t47 North Laurel Road\t43329\tAttica\t51078\tNY\t52679\t52790\t274-324-9290\tG: 130,000 - 149,999\t3000\tGroves@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9389\tWilhelmina\tOwens\tM\t1937\t\t47 North Lee Road\t38082\tGreenwich\t51591\tEngland - Greater London\t52589\t52789\t567-689-7305\tB: 30,000 - 49,999\t1500\tOwens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9403\tWoodrow\tCase\tM\t1970\t\t47 North Logan Road\t59622\tNieuwegein\t51983\tUtrecht\t52750\t52770\t217-355-3389\tC: 50,000 - 69,999\t3000\tCase@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9407\tWorthington\tSnodgrass\tM\t1938\tmarried\t47 North Los Robles Road\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t666-513-8057\tE: 90,000 - 109,999\t5000\tSnodgrass@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9414\tWynnee\tZimmer\tM\t1977\tmarried\t47 North Lycoming Road\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t259-200-8034\tE: 90,000 - 109,999\t5000\tZimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9421\tYates\tKillman\tM\t1983\tsingle\t47 North Mahaska Road\t92070\tBradford\t51212\tEngland - West Yorkshire\t52594\t52789\t317-606-9898\tF: 110,000 - 129,999\t9000\tKillman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9433\tZebedee\tWelsh\tM\t1970\tmarried\t47 North Marsh Road\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t131-758-3124\tD: 70,000 - 89,999\t5000\tWelsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9437\tZel\tYork\tM\t1974\tmarried\t47 North Martin Road\t87791\tMarbella\t51900\tMalaga\t52661\t52778\t261-420-6801\tL: 300,000 and above\t9000\tYork@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9440\tZenia\tKlebe\tF\t1950\tmarried\t47 North Matanuska Susitna Road\t43505\tValencia\t52430\tValencia\t52755\t52778\t155-460-8820\tA: Below 30,000\t1500\tKlebe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9455\tAngie\tLauderdale\tF\t1936\tsingle\t47 North Meade Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t130-793-1868\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9457\tAnand\tDuval\tM\t1955\tsingle\t47 North Medina Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t504-755-4927\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9463\tArmand\tLance\tM\t1949\t\t47 North Merrick Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t276-302-8822\tG: 130,000 - 149,999\t15000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9486\tBarrett\tEssex\tM\t1957\t\t47 North Monterey Bay Road\t52602\tBlountstown\t51200\tFL\t52595\t52790\t402-148-2204\tG: 130,000 - 149,999\t7000\tEssex@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9504\tBertha\tKuehler\tF\t1970\tmarried\t47 North Muskogee Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t461-102-4682\tD: 70,000 - 89,999\t1500\tKuehler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9527\tBo\tLyon\tM\t1955\tsingle\t47 North Ocean Road\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t547-419-1766\tH: 150,000 - 169,999\t5000\tLyon@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9539\tBrand\tKelleher\tM\t1979\t\t47 North Onondaga Road\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t683-637-1073\tF: 110,000 - 129,999\t7000\tKelleher@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9552\tBryan\tGrace\tM\t1946\t\t47 North Ottawa Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t262-604-2013\tF: 110,000 - 129,999\t7000\tGrace@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9573\tCandice\tLloyd\tM\t1958\t\t47 North Pawnee Road\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t162-181-4396\tJ: 190,000 - 249,999\t9000\tLloyd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9577\tCarey\tColven\tM\t1970\tsingle\t47 North Pennington Road\t80999\tWestminster\t52506\tEngland - Greater London\t52589\t52789\t422-425-1595\tH: 150,000 - 169,999\t1500\tColven@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9579\tCarlisle\tReagan\tM\t1977\t\t47 North Perry Road\t34197\tSkagway\t52314\tAK\t52533\t52790\t333-300-3934\tF: 110,000 - 129,999\t7000\tReagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9584\tCarter\tFepoi\tM\t1957\tsingle\t47 North Pickens Road\t46150\tZandvoort\t52529\tNoord-Holland\t52683\t52770\t210-325-1193\tI: 170,000 - 189,999\t1500\tFepoi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9589\tCharles\tTazelar\tM\t1969\t\t47 North Pittsylvania Road\t44280\tUtrecht\t52409\tUtrecht\t52750\t52770\t409-218-5852\tF: 110,000 - 129,999\t10000\tTazelar@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9593\tChester\tCharles\tM\t1935\t\t47 North Plymouth Road\t83575\tPaderborn\t52099\tNordrhein-Westfalen\t52684\t52776\t523-723-4565\tE: 90,000 - 109,999\t7000\tCharles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9600\tDeedee\tIvey\tF\t1966\tsingle\t47 North Portage Road\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t525-407-6679\tH: 150,000 - 169,999\t5000\tIvey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9615\tDevona\tStokley\tF\t1944\tsingle\t47 North Price Road\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t541-288-1669\tD: 70,000 - 89,999\t9000\tStokley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9621\tDione\tCherry\tF\t1947\tsingle\t47 North Putnam Road\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t374-463-1032\tH: 150,000 - 169,999\t11000\tCherry@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9639\tElmo\tRodgers\tM\t1954\t\t47 North Republic Road\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t113-296-6026\tC: 50,000 - 69,999\t7000\tRodgers@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9651\tEustace\tDwyer\tM\t1930\tsingle\t47 North Roberts Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t246-196-9448\tD: 70,000 - 89,999\t3000\tDwyer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9684\tGarnett\tThomas\tM\t1953\tmarried\t47 North San Bernardino Road\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t694-617-9718\tJ: 190,000 - 249,999\t9000\tThomas@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9690\tGaylord\tSmeed\tM\t1949\tmarried\t47 North San Juan Road\t41915\tLyngby\t51813\tCopenhagen\t52574\t52777\t119-171-1776\tF: 110,000 - 129,999\t1500\tSmeed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9702\tEugene\tTate\tM\t1959\t\t17 Wright Court\t77757\tRockyhill\t52170\tNJ\t52670\t52790\t558-337-6054\tF: 110,000 - 129,999\t7000\tTate@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9723\tGuido\tNovak\tM\t1948\tmarried\t47 North Shoshone Road\t59061\tSanibel\t52292\tFL\t52595\t52790\t582-565-4786\tF: 110,000 - 129,999\t1500\tNovak@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9754\tHector\tGermonds\tM\t1946\tsingle\t47 North Sunset Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t378-765-9811\tF: 110,000 - 129,999\t9000\tGermonds@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9769\tHetty\tRicketts\tM\t1949\tsingle\t47 North Tazewell Road\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t532-245-2280\tI: 170,000 - 189,999\t15000\tRicketts@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9776\tHolmes\tGlassman\tM\t1975\tmarried\t47 North Theatre Road\t91887\tStockdale\t52326\tPA\t52693\t52790\t389-278-6632\tE: 90,000 - 109,999\t1500\tGlassman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9780\tFillmore\tPatrick\tM\t1952\tsingle\t17 Yankton Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t471-245-6254\tI: 170,000 - 189,999\t5000\tPatrick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9794\tIdola\tTavener\tF\t1948\tmarried\t47 North Trumbull Road\t83335\tPurmerend\t52115\tNoord-Holland\t52683\t52770\t535-702-4992\tF: 110,000 - 129,999\t5000\tTavener@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9795\tIdona\tMann\tF\t1957\tsingle\t47 North Tulare Road\t61795\tEindhoven\t51444\tNoord-Brabant\t52682\t52770\t385-564-4960\tJ: 190,000 - 249,999\t11000\tMann@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9810\tJackie\tRiffken\tF\t1963\tmarried\t47 North Vegas Road\t47545\tSmyrna\t52317\tNY\t52679\t52790\t344-492-9950\tE: 90,000 - 109,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9815\tJason\tGilmour\tM\t1979\t\t47 North Viginia Road\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t506-720-7537\tE: 90,000 - 109,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9827\tLeona\tLaycock\tF\t1941\tmarried\t47 North Wale Road\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t358-264-1142\tF: 110,000 - 129,999\t5000\tLaycock@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9869\tLouise\tOakfield\tM\t1975\tsingle\t47 North Woodside Road\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t680-731-4651\tL: 300,000 and above\t15000\tOakfield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9871\tLucas\tLiue\tM\t1963\tsingle\t47 North Worth Road\t81973\tGolden's Bridge\t51586\tNY\t52679\t52790\t175-660-3862\tG: 130,000 - 149,999\t3000\tLiue@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9883\tLylybel\tZimmerman\tM\t1949\tmarried\t47 North Yell Road\t69776\tHiseville\t51663\tKY\t52632\t52790\t284-169-6838\tE: 90,000 - 109,999\t1500\tZimmerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9889\tMackenzie\tVankirk\tF\t1974\tmarried\t47 North Yukon Koyukuk Road\t71608\tNew Auburn\t51976\tMN\t52656\t52790\t170-303-8954\tE: 90,000 - 109,999\t1500\tVankirk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9904\tMae\tLim\tF\t1955\tsingle\t47 South Airway Road\t34216\tMurnau\t51934\tBayern\t52561\t52776\t562-776-6043\tI: 170,000 - 189,999\t10000\tLim@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9938\tMead\tLehman\tM\t1946\tmarried\t47 South Austin Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t200-608-5373\tA: Below 30,000\t1500\tLehman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9943\tMike\tLake\tM\t1935\t\t47 South Baltimore Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t489-167-4230\tE: 90,000 - 109,999\t10000\tLake@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9949\tMisha\tEverline\tM\t1964\tsingle\t47 South Barnstable Road\t75917\tMolino\t51917\tFL\t52595\t52790\t338-661-7477\tD: 70,000 - 89,999\t9000\tEverline@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9957\tMortimer\tLeach\tM\t1944\tmarried\t47 South Bayfront Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t632-566-8755\tC: 50,000 - 69,999\t1500\tLeach@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9965\tMyron\tLightfoot\tM\t1948\tsingle\t47 South Beaver Road\t81319\tBarre\t51165\tMA\t52649\t52790\t458-406-5101\tH: 150,000 - 169,999\t5000\tLightfoot@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9982\tOprah\tHusky\tF\t1984\tsingle\t47 South Bienville Road\t60874\tElche\t51448\tAlicante\t52544\t52778\t199-770-1732\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9992\tPage\tRudder\tM\t1973\tsingle\t47 South Blue Angel Road\t79889\tKrefeld\t51738\tNordrhein-Westfalen\t52684\t52776\t673-486-7654\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10002\tErrol\tCurr\tM\t1949\t\t7 South Clearfield Circle\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t643-342-3734\tG: 130,000 - 149,999\t9000\tCurr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10003\tGalen\tKaden\tM\t1976\tsingle\t17 East Airway Court\t47684\tDudley\t51399\tEngland - West Midlands\t52593\t52789\t101-146-5767\tI: 170,000 - 189,999\t10000\tKaden@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10013\tPeter\tThompson\tM\t1947\tsingle\t47 South Britnay Road\t58941\tKoblenz\t51734\tRheinland-Pfalz\t52710\t52776\t658-291-2967\tH: 150,000 - 169,999\t9000\tThompson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10018\tPhilippa\tMalone\tM\t1957\tmarried\t47 South Brown Road\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t433-441-4365\tJ: 190,000 - 249,999\t9000\tMalone@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10028\tPriscilla\tHagan\tM\t1945\tmarried\t47 South Bush Road\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t514-286-7459\tD: 70,000 - 89,999\t5000\tHagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10048\tRandall\tFelix\tM\t1949\tmarried\t47 South Carolina Road\t72200\tHitchita\t51664\tOK\t52689\t52790\t635-344-7753\tC: 50,000 - 69,999\t5000\tFelix@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10049\tRandolph\tRowe\tM\t1932\tsingle\t47 South Caroline Road\t79119\tKerkrade\t51726\tLimburg\t52646\t52770\t578-573-6636\tA: Below 30,000\t1500\tRowe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10064\tReece\tKonur\tM\t1975\tsingle\t47 South Champaign Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t204-358-7241\tI: 170,000 - 189,999\t1500\tKonur@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10076\tReyburn\tTyler\tM\t1951\tsingle\t47 South Cheyenne Road\t43329\tAttica\t51078\tNY\t52679\t52790\t181-592-2175\tH: 150,000 - 169,999\t10000\tTyler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10098\tRollin\tHaole\tM\t1944\tsingle\t47 South Coamo Road\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t407-107-9905\tD: 70,000 - 89,999\t3000\tHaole@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10119\tRoss\tSnodgrass\tM\t1950\tsingle\t47 South Craven Road\t63507\tErding\t51454\tBayern\t52561\t52776\t332-771-2272\tG: 130,000 - 149,999\t3000\tSnodgrass@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10121\tRoxanne\tPackerman\tM\t1974\tsingle\t47 South Crittenden Road\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t130-526-8046\tI: 170,000 - 189,999\t5000\tPackerman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10126\tRoyd\tZimmer\tM\t1951\tsingle\t47 South Cupertino Road\t40365\tTralee\t52379\tKerry\t52637\t52772\t271-327-8510\tI: 170,000 - 189,999\t3000\tZimmer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10129\tRudolph\tLamay\tM\t1957\tsingle\t47 South Custer Road\t87791\tMarbella\t51900\tMalaga\t52661\t52778\t276-284-4741\tJ: 190,000 - 249,999\t11000\tLamay@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10135\tRussell\tReed\tM\t1960\tsingle\t47 South Davidson Road\t48098\tBitburg\t51193\tRheinland-Pfalz\t52710\t52776\t575-791-9748\tF: 110,000 - 129,999\t9000\tReed@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10136\tGerald\tGilboy\tM\t1954\t\t17 East Alpine Court\t34216\tMurnau\t51934\tBayern\t52561\t52776\t307-452-5223\tD: 70,000 - 89,999\t10000\tGilboy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10148\tSam\tNiu\tM\t1946\tmarried\t47 South Delaware Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t312-675-6577\tA: Below 30,000\t1500\tNiu@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10157\tTanya\tParks\tF\t1958\tmarried\t47 South District Road\t50509\tReichelsheim\t52161\tHessen\t52617\t52776\t692-157-1909\tK: 250,000 - 299,999\t9000\tParks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10171\tThaddeus\tBarr\tM\t1973\tmarried\t47 South Douglas Road\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t555-482-5502\tD: 70,000 - 89,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10172\tThalia\tWolsey\tF\t1953\tsingle\t47 South Drew Road\t67111\tSzczecin\t52337\tSzczecin\t52742\t52786\t380-733-8093\tA: Below 30,000\t1500\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10178\tTheodorick\tPoe\tM\t1938\tsingle\t47 South Edmunds Road\t77306\tBerkley\t51182\tIA\t52618\t52790\t202-136-6799\tD: 70,000 - 89,999\t3000\tPoe@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10186\tThomas\tJanney\tM\t1956\t\t47 South Emerson Road\t57339\tAuckland\t51081\tAuckland\t52549\t52785\t639-301-8503\tF: 110,000 - 129,999\t7000\tJanney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10192\tTilden\tSagan\tM\t1982\t\t47 South Evans Road\t79690\tChieflake\t51325\tWI\t52760\t52790\t145-200-2391\tE: 90,000 - 109,999\t3000\tSagan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10199\tTobey\tKeeting\tM\t1957\t\t47 South Fayette Road\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t397-606-6965\tF: 110,000 - 129,999\t7000\tKeeting@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10227\tTroy\tWan\tM\t1964\t\t47 South Geneva Road\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t550-194-2907\tG: 130,000 - 149,999\t7000\tWan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10245\tUrian\tLevi\tM\t1946\tsingle\t47 South Greene Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t333-646-8734\tF: 110,000 - 129,999\t3000\tLevi@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10247\tGinna\tKirwin\tF\t1975\tmarried\t17 East Armstrong Court\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t656-541-2170\tE: 90,000 - 109,999\t5000\tKirwin@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10249\tVal\tLittlefield\tF\t1947\tsingle\t47 South Griggs Road\t50629\tLegrand\t51791\tCA\t52567\t52790\t321-387-5343\tG: 130,000 - 149,999\t11000\tLittlefield@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10257\tVan\tResnick\tM\t1948\tmarried\t47 South Guthrie Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t427-273-2529\tB: 30,000 - 49,999\t1500\tResnick@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10258\tGinger\tMacdonald\tF\t1941\tsingle\t17 East Aroostook Court\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t659-792-2301\tF: 110,000 - 129,999\t9000\tMacdonald@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10280\tGlen\tBaltzer\tM\t1982\tmarried\t17 East Ashley Court\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t444-607-8613\tG: 130,000 - 149,999\t1500\tBaltzer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10296\tWorthington\tYoung\tM\t1962\t\t47 South Hopkins Road\t46274\tAdelaide\t51045\tSouth Australia\t52741\t52774\t621-468-4866\tE: 90,000 - 109,999\t10000\tYoung@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10297\tWrght\tGressett\tM\t1953\tmarried\t47 South Hormigueros Road\t32099\tClifden\t51331\tGalway\t52608\t52772\t163-785-1125\tF: 110,000 - 129,999\t1500\tGressett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10301\tWynne\tEddisson\tM\t1982\tsingle\t47 South Howard Road\t78618\tBerea\t51180\tKY\t52632\t52790\t560-473-1514\tF: 110,000 - 129,999\t9000\tEddisson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_979119701","id":"20200915-183828_143286596","dateCreated":"2018-02-06T13:15:54+0000","dateStarted":"2020-09-15T23:09:09+0000","dateFinished":"2020-09-15T23:09:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Create view joining CUSTOMERS and DEMOGRAPHICS_V ","text":"%script\n\nCREATE OR REPLACE VIEW CUSTOMERS360_V AS\n SELECT a.CUST_ID, a.CUST_GENDER, a.CUST_MARITAL_STATUS, a.CUST_YEAR_OF_BIRTH, \n a.CUST_INCOME_LEVEL, a.CUST_CREDIT_LIMIT, b.EDUCATION, b.AFFINITY_CARD, \n b.HOUSEHOLD_SIZE, b.OCCUPATION, b.YRS_RESIDENCE, b.Y_BOX_GAMES\n FROM SH.CUSTOMERS a, DEMOGRAPHICS_V b\n WHERE a.CUST_ID = b.CUST_ID;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:10+0000","config":{"colWidth":5,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView CUSTOMERS360_V created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-275877898","id":"20200915-183828_673572444","dateCreated":"2020-02-04T23:01:17+0000","dateStarted":"2020-09-15T23:09:10+0000","dateFinished":"2020-09-15T23:09:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Display CUSTOMERS360_V","text":"%sql\n\nSELECT * FROM CUSTOMERS360_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:11+0000","config":{"colWidth":7,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_305835394","id":"20200915-183828_1177326917","dateCreated":"2018-02-06T13:30:31+0000","dateStarted":"2020-09-15T23:09:11+0000","dateFinished":"2020-09-15T23:09:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Evaluate distribution of CUST_YEAR_BIRTH vs. CUST_MARITAL_STATUS from CUSTOMERS360_V","text":"%sql\n\n-- Click the bar chart icon and expand settings. Drag CUST_YEAR_OF_BIRTH to Keys, YRS_RESIDENCE to Values, and CUST_MARITAL_STATUS to Groups. \n\nSELECT * FROM CUSTOMERS360_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:20+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"CUST_YEAR_OF_BIRTH","index":3,"aggr":"sum"}],"values":[{"name":"YRS_RESIDENCE","index":10,"aggr":"sum"}],"scatter":{"yAxis":{"name":"YRS_RESIDENCE","index":10,"aggr":"sum"},"xAxis":{"name":"CUST_YEAR_OF_BIRTH","index":3,"aggr":"sum"},"group":{"name":"CUST_MARITAL_STATUS","index":2,"aggr":"sum"}},"groups":[{"name":"CUST_MARITAL_STATUS","index":2,"aggr":"sum"}],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default","stacked":true}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-1566900625","id":"20200915-183828_1156831868","dateCreated":"2018-02-06T13:44:53+0000","dateStarted":"2020-09-15T23:09:12+0000","dateFinished":"2020-09-15T23:09:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Build anomaly detection model using the 1-Class SVM algorithm","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('CUSTOMERS360MODEL');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_SUPPORT_VECTOR_MACHINES';\n V_setlst('PREP_AUTO') := 'ON';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'CUSTOMERS360MODEL',\n MINING_FUNCTION => 'CLASSIFICATION',\n DATA_QUERY => 'select * from CUSTOMERS360_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => NULL);\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:13+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-1999256646","id":"20200915-183828_531104743","dateCreated":"2018-02-05T23:20:57+0000","dateStarted":"2020-09-15T23:09:13+0000","dateFinished":"2020-09-15T23:09:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Display customers in descending order of anomaly probability","text":"%sql\n\n-- Hint: In anomaly detection, known amomalies should be removed from the training dataset\n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, \n YRS_RESIDENCE, HOUSEHOLD_SIZE, CUST_GENDER,\n CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, \n CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nORDER BY prob_anomalous DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:16+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":194,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB_ANOMALOUS":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","RNK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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Customers with PROB_ANOMALOUS vs. YRS_RESIDENCE grouped by CUST_MARITAL_STATUS","text":"%sql\n\n-- Click the bar chart icon and expand settings. Drag PROB_ANOMALOUS to values, YRS_RESIDENCE to keys, CUST_MARITAL_STATUS to groups. \n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, HOUSEHOLD_SIZE, \n YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nORDER BY prob_anomalous 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the top 5 most anomalous customers","text":"%sql\n\nSELECT * \nFROM (SELECT CUST_ID, round(prob_anomalous,2) prob_anomalous, \n YRS_RESIDENCE, CUST_MARITAL_STATUS, \n rank() over (ORDER BY prob_anomalous DESC) rnk \n FROM (SELECT CUST_ID, HOUSEHOLD_SIZE, YRS_RESIDENCE, CUST_GENDER, CUST_MARITAL_STATUS, \n prediction_probability(CUSTOMERS360MODEL, '0' using *) prob_anomalous\n FROM CUSTOMERS360_V))\nWHERE rnk <= 5\nORDER BY prob_anomalous DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:18+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"HOUSEHOLD_SIZE","index":1,"aggr":"sum"}],"scatter":{"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":242,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB_ANOMALOUS":"string","YRS_RESIDENCE":"string","CUST_MARITAL_STATUS":"string","RNK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROB_ANOMALOUS\tYRS_RESIDENCE\tCUST_MARITAL_STATUS\tRNK\n100199\t0.76\t2\tWidowed\t1\n103154\t0.76\t2\tWidowed\t1\n102948\t0.73\t2\tWidowed\t3\n101137\t0.67\t3\tWidowed\t4\n104359\t0.66\t6\tWidowed\t5\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-1272265334","id":"20200915-183828_1625699490","dateCreated":"2018-02-05T23:20:59+0000","dateStarted":"2020-09-15T23:09:18+0000","dateFinished":"2020-09-15T23:09:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"View Prediction Details of top 3 attributes to explain prediction","text":"%sql\n-- Select customers with OCCUPATION 'TechSup' and more than 50% probability of being anomalous \n\nSELECT CUST_ID, \n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE\n FROM (SELECT CUST_ID, PREDICTION_DETAILS(CUSTOMERS360MODEL, '0' USING *) PREDICTION_DETAILS FROM CUSTOMERS360_V\n WHERE PREDICTION_PROBABILITY(CUSTOMERS360MODEL, '0' USING *) > 0.50\n AND OCCUPATION = 'TechSup'\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PREDICTION_DETAILS\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]') \n OUTPRED;","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:19+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\n100646\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".226\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".118\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".115\" \n102922\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".222\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1931\" weight=\".169\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".115\" \n103441\t\"CUST_MARITAL_STATUS\" actualValue=\"Widowed\" weight=\".222\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".117\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".076\" \n104286\t\"EDUCATION\" actualValue=\"9th\" weight=\".165\" \t\"HOUSEHOLD_SIZE\" actualValue=\"4-5\" weight=\".146\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".112\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_946532315","id":"20200915-183828_1057924194","dateCreated":"2019-08-10T01:00:44+0000","dateStarted":"2020-09-15T23:09:19+0000","dateFinished":"2020-09-15T23:09:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"text":"%md\n# End of Script","user":"OMLUSER","dateUpdated":"2020-09-15T23:09:19+0000","config":{"colWidth":12,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/markdown","results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108482_-280809059","id":"20200915-183828_1743016090","dateCreated":"2018-02-05T23:21:02+0000","dateStarted":"2020-09-15T23:09:20+0000","dateFinished":"2020-09-15T23:09:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"}],"name":"OML4SQL Anomaly Detection","id":"468015","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACED2F65282:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/sql/OML4SQL_Association_Rules.json b/machine-learning/notebooks/sql/OML4SQL_Association_Rules.json
index 5050c01c..07c69b87 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Association_Rules.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Association_Rules.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n\n## Association Rules (Market Basket Analysis)\n\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can also be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build associations rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:26:00+0000","config":{"tableHide":false,"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Association Rules (Market Basket Analysis)
\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can also be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build associations rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580935510718_-1597906896","id":"20200205-204510_1815003289","dateCreated":"2018-02-04T23:26:46+0000","dateStarted":"2020-02-07T20:26:02+0000","dateFinished":"2020-02-07T20:26:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md \n\n\n
\n","user":"MARK","dateUpdated":"2020-02-07T20:26:02+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":126.68799999999999,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"tableHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"jobName":"paragraph_1580935510718_1707702708","id":"20200205-204510_1025918349","dateCreated":"2018-02-05T22:38:27+0000","dateStarted":"2020-02-07T20:26:03+0000","dateFinished":"2020-02-07T20:26:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md\n\nOracle ADW Documentation \nOracle Machine Learning folder on Oracle on Github \nOracle Machine Learning web page: ","user":"MARK","dateUpdated":"2020-02-07T20:26:03+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Oracle on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
\n"}]},"jobName":"paragraph_1580935510718_785634237","id":"20200205-204510_2058167887","dateCreated":"2018-02-04T23:28:40+0000","dateStarted":"2020-02-07T20:26:07+0000","dateFinished":"2020-02-07T20:26:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Display SALES data","text":"%sql\n\n-- Note that a transaction is defined by a set of products purchased for a given customer at a given time. \n\nSELECT CUST_ID, TIME_ID, PROD_ID, QUANTITY_SOLD, AMOUNT_SOLD, CHANNEL_ID, PROMO_ID FROM SH.SALES\nORDER BY CUST_ID, TIME_ID, PROD_ID;","user":"MARK","dateUpdated":"2020-02-07T20:26:07+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","TIME_ID":"string","PROD_ID":"string","QUANTITY_SOLD":"string","AMOUNT_SOLD":"string","CHANNEL_ID":"string","PROMO_ID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tTIME_ID\tPROD_ID\tQUANTITY_SOLD\tAMOUNT_SOLD\tCHANNEL_ID\tPROMO_ID\n2\t1998-01-02 00:00:00\t31\t1\t9.71\t3\t999\n2\t1998-01-02 00:00:00\t140\t1\t41.99\t3\t999\n2\t1998-01-02 00:00:00\t146\t1\t16.79\t3\t999\n2\t1998-01-02 00:00:00\t148\t1\t29.39\t3\t999\n2\t1998-01-04 00:00:00\t130\t1\t125.99\t3\t999\n2\t1998-01-05 00:00:00\t14\t1\t1259.99\t2\t999\n2\t1998-01-05 00:00:00\t14\t1\t1259.99\t3\t999\n2\t1998-01-05 00:00:00\t123\t1\t64.99\t3\t999\n2\t1998-01-05 00:00:00\t125\t1\t16.63\t3\t999\n2\t1998-01-05 00:00:00\t126\t1\t30.15\t3\t999\n2\t1998-01-05 00:00:00\t127\t1\t51.79\t3\t999\n2\t1998-01-05 00:00:00\t128\t1\t39.19\t3\t999\n2\t1998-01-30 00:00:00\t13\t1\t1232.16\t3\t999\n2\t1998-01-30 00:00:00\t20\t1\t599.99\t3\t999\n2\t1998-01-30 00:00:00\t30\t1\t10.79\t3\t999\n2\t1998-01-30 00:00:00\t31\t1\t9.71\t3\t999\n2\t1998-01-30 00:00:00\t32\t1\t73.43\t3\t999\n2\t1998-01-30 00:00:00\t40\t1\t49.49\t3\t999\n2\t1998-01-30 00:00:00\t46\t1\t24.83\t3\t999\n2\t1998-01-30 00:00:00\t48\t1\t12.95\t3\t999\n2\t1998-01-31 00:00:00\t114\t1\t22.79\t3\t999\n2\t1998-01-31 00:00:00\t116\t1\t14.39\t3\t999\n2\t1998-01-31 00:00:00\t117\t1\t10.79\t3\t999\n2\t1998-01-31 00:00:00\t119\t1\t8.39\t3\t999\n2\t1998-01-31 00:00:00\t123\t1\t64.99\t3\t999\n2\t1998-01-31 00:00:00\t125\t1\t16.63\t3\t999\n2\t1998-01-31 00:00:00\t126\t1\t30.15\t3\t999\n2\t1998-01-31 00:00:00\t127\t1\t51.79\t3\t999\n2\t1998-01-31 00:00:00\t128\t1\t39.19\t3\t999\n2\t1998-03-02 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00:00:00\t137\t1\t56.13\t3\t999\n4\t2000-08-03 00:00:00\t139\t1\t21.18\t3\t999\n4\t2000-08-03 00:00:00\t148\t1\t22.24\t3\t999\n4\t2000-08-05 00:00:00\t114\t1\t20.3\t3\t999\n4\t2000-08-05 00:00:00\t116\t1\t12.82\t3\t999\n4\t2000-08-29 00:00:00\t123\t1\t56.42\t3\t999\n4\t2000-08-29 00:00:00\t124\t1\t21.43\t3\t999\n4\t2000-08-29 00:00:00\t124\t1\t21.22\t2\t999\n4\t2000-08-29 00:00:00\t126\t1\t29.55\t3\t999\n4\t2000-08-29 00:00:00\t128\t1\t29.65\t3\t999\n4\t2000-08-29 00:00:00\t128\t1\t29.65\t2\t999\n4\t2000-08-31 00:00:00\t37\t1\t59.34\t3\t999\n4\t2000-08-31 00:00:00\t48\t1\t12.58\t3\t999\n4\t2000-08-31 00:00:00\t113\t1\t24.58\t3\t999\n4\t2000-08-31 00:00:00\t120\t1\t7.89\t3\t999\n4\t2000-08-31 00:00:00\t130\t1\t95.33\t2\t999\n4\t2000-08-31 00:00:00\t133\t1\t32.83\t3\t999\n4\t2000-09-04 00:00:00\t116\t1\t11.28\t3\t999\n4\t2000-09-04 00:00:00\t119\t1\t6.57\t3\t999\n4\t2000-09-29 00:00:00\t127\t1\t34.48\t3\t999\n4\t2000-09-29 00:00:00\t128\t1\t26.09\t3\t999\n4\t2000-09-29 00:00:00\t129\t1\t179.91\t3\t999\n4\t2000-10-03 00:00:00\t30\t1\t10.48\t3\t999\n4\t2000-10-03 00:00:00\t31\t1\t9.43\t3\t999\n4\t2000-10-03 00:00:00\t33\t1\t45.97\t3\t999\n4\t2000-10-03 00:00:00\t137\t1\t56.13\t3\t999\n4\t2000-10-03 00:00:00\t139\t1\t21.18\t3\t999\n4\t2000-10-03 00:00:00\t140\t1\t31.77\t3\t999\n4\t2000-10-03 00:00:00\t141\t1\t31.77\t3\t999\n4\t2000-10-03 00:00:00\t142\t1\t21.18\t3\t999\n4\t2000-10-03 00:00:00\t146\t1\t12.7\t3\t999\n6\t1998-07-22 00:00:00\t125\t1\t16.36\t4\t999\n6\t1998-07-22 00:00:00\t125\t1\t16.36\t2\t999\n6\t1998-07-22 00:00:00\t125\t1\t16.36\t3\t999\n6\t1998-07-22 00:00:00\t126\t1\t29.66\t3\t999\n6\t1998-07-22 00:00:00\t126\t1\t29.66\t2\t999\n6\t1998-07-22 00:00:00\t126\t1\t29.66\t4\t999\n6\t1998-07-22 00:00:00\t127\t1\t38.14\t2\t999\n6\t1998-07-22 00:00:00\t127\t1\t38.14\t3\t999\n6\t1998-07-22 00:00:00\t127\t1\t38.14\t4\t999\n6\t1998-07-24 00:00:00\t40\t1\t46.79\t3\t999\n6\t1998-07-24 00:00:00\t40\t1\t46.79\t2\t999\n6\t1998-07-24 00:00:00\t40\t1\t46.79\t4\t999\n6\t1998-07-24 00:00:00\t42\t1\t46.79\t3\t999\n6\t1998-07-24 00:00:00\t42\t1\t46.79\t2\t999\n6\t1998-07-24 00:00:00\t42\t1\t46.79\t4\t999\n6\t1998-07-24 00:00:00\t43\t1\t46.79\t2\t999\n6\t1998-07-24 00:00:00\t43\t1\t46.79\t3\t999\n6\t1998-07-24 00:00:00\t44\t1\t46.79\t3\t999\n6\t1998-07-24 00:00:00\t45\t1\t46.79\t4\t999\n6\t1998-07-24 00:00:00\t45\t1\t46.79\t3\t999\n6\t1998-07-24 00:00:00\t45\t1\t46.79\t2\t999\n6\t1998-08-22 00:00:00\t125\t1\t16.36\t4\t350\n6\t1998-08-22 00:00:00\t125\t1\t16.36\t2\t350\n6\t1998-08-22 00:00:00\t125\t1\t16.36\t3\t350\n6\t1998-08-22 00:00:00\t126\t1\t29.66\t3\t350\n6\t1998-08-22 00:00:00\t126\t1\t29.66\t4\t350\n6\t1998-08-22 00:00:00\t126\t1\t29.66\t2\t350\n6\t1998-08-22 00:00:00\t127\t1\t38.14\t4\t350\n6\t1998-08-22 00:00:00\t127\t1\t38.14\t3\t350\n6\t1998-08-22 00:00:00\t127\t1\t38.14\t2\t350\n6\t1998-08-24 00:00:00\t40\t1\t46.79\t3\t350\n6\t1998-08-24 00:00:00\t40\t1\t46.79\t2\t350\n6\t1998-08-24 00:00:00\t40\t1\t46.79\t4\t350\n6\t1998-08-24 00:00:00\t42\t1\t46.79\t2\t350\n6\t1998-08-24 00:00:00\t42\t1\t46.79\t4\t350\n6\t1998-08-24 00:00:00\t43\t1\t46.79\t3\t350\n6\t1998-08-24 00:00:00\t43\t1\t46.79\t2\t350\n6\t1998-08-24 00:00:00\t43\t1\t46.79\t4\t350\n6\t1998-08-24 00:00:00\t44\t1\t46.79\t3\t350\n6\t1998-08-24 00:00:00\t44\t1\t46.79\t4\t350\n6\t1998-08-24 00:00:00\t45\t1\t46.79\t2\t350\n6\t1998-08-24 00:00:00\t45\t1\t46.79\t4\t350\n6\t1998-08-24 00:00:00\t45\t1\t46.79\t3\t350\n6\t1999-06-22 00:00:00\t36\t1\t51.18\t3\t999\n6\t1999-06-22 00:00:00\t36\t1\t45.71\t2\t999\n6\t1999-06-22 00:00:00\t37\t1\t51.46\t4\t999\n6\t1999-06-22 00:00:00\t37\t1\t62.56\t3\t999\n6\t1999-06-22 00:00:00\t37\t1\t55.87\t2\t999\n6\t1999-06-22 00:00:00\t39\t1\t39.81\t3\t999\n6\t1999-06-22 00:00:00\t39\t1\t35.55\t2\t999\n6\t1999-06-22 00:00:00\t39\t1\t32.75\t4\t999\n6\t1999-06-22 00:00:00\t47\t1\t29.27\t2\t999\n6\t1999-06-22 00:00:00\t47\t1\t26.04\t4\t999\n6\t1999-07-24 00:00:00\t36\t1\t50.75\t3\t999\n6\t1999-07-24 00:00:00\t37\t1\t51.46\t4\t999\n6\t1999-07-24 00:00:00\t37\t1\t55.87\t2\t999\n6\t1999-07-24 00:00:00\t37\t1\t62.03\t3\t999\n6\t1999-07-24 00:00:00\t39\t1\t35.55\t2\t999\n6\t1999-07-24 00:00:00\t39\t1\t39.47\t3\t999\n6\t1999-07-24 00:00:00\t39\t1\t32.75\t4\t999\n6\t1999-07-24 00:00:00\t47\t1\t29.27\t2\t999\n6\t1999-07-24 00:00:00\t47\t1\t26.04\t4\t999\n6\t1999-07-24 00:00:00\t47\t1\t31.9\t3\t999\n6\t1999-08-24 00:00:00\t36\t1\t42.09\t4\t999\n6\t1999-08-24 00:00:00\t36\t1\t50.75\t3\t999\n6\t1999-08-24 00:00:00\t36\t1\t45.71\t2\t999\n6\t1999-08-24 00:00:00\t37\t1\t62.03\t3\t999\n6\t1999-08-24 00:00:00\t37\t1\t51.46\t4\t999\n6\t1999-08-24 00:00:00\t37\t1\t55.87\t2\t999\n6\t1999-08-24 00:00:00\t39\t1\t35.55\t2\t999\n6\t1999-08-24 00:00:00\t39\t1\t39.47\t3\t999\n6\t1999-08-24 00:00:00\t39\t1\t32.75\t4\t999\n6\t1999-08-24 00:00:00\t47\t1\t31.9\t3\t999\n6\t1999-08-24 00:00:00\t47\t1\t26.04\t4\t999\n6\t1999-08-24 00:00:00\t47\t1\t29.27\t2\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t3\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t4\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t2\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t2\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t4\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t3\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t3\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t2\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t4\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t3\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t2\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t4\t999\n6\t2001-06-07 00:00:00\t121\t1\t10.72\t4\t999\n6\t2001-06-07 00:00:00\t121\t1\t11.05\t3\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.77\t2\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.32\t3\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.1\t4\t999\n6\t2001-06-20 00:00:00\t23\t1\t23.03\t3\t999\n6\t2001-06-20 00:00:00\t23\t1\t23.03\t2\t999\n6\t2001-06-20 00:00:00\t23\t1\t21.42\t4\t999\n6\t2001-06-20 00:00:00\t24\t1\t62.64\t3\t999\n6\t2001-06-20 00:00:00\t24\t1\t63.64\t4\t999\n6\t2001-06-20 00:00:00\t24\t1\t63.02\t2\t999\n6\t2001-06-20 00:00:00\t25\t1\t117.24\t3\t999\n6\t2001-06-20 00:00:00\t25\t1\t114.9\t4\t999\n6\t2001-06-20 00:00:00\t25\t1\t117.94\t2\t999\n6\t2001-06-20 00:00:00\t26\t1\t155.78\t3\t999\n6\t2001-06-20 00:00:00\t26\t1\t152.66\t4\t999\n6\t2001-06-20 00:00:00\t26\t1\t156.71\t2\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.74\t4\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.56\t2\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.28\t3\t999\n6\t2001-06-20 00:00:00\t28\t1\t205.89\t4\t999\n6\t2001-06-20 00:00:00\t28\t1\t210.09\t3\t999\n6\t2001-06-20 00:00:00\t28\t1\t211.35\t2\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.19\t4\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.12\t2\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.02\t3\t999\n6\t2001-06-22 00:00:00\t38\t1\t32.24\t3\t999\n6\t2001-06-22 00:00:00\t38\t1\t32.24\t2\t999\n6\t2001-06-22 00:00:00\t38\t1\t31.6\t4\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t4\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t2\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t3\t999\n6\t2001-06-22 00:00:00\t42\t1\t47.6\t4\t999\n6\t2001-06-22 00:00:00\t42\t1\t47.6\t3\t999\n6\t2001-06-22 00:00:00\t43\t1\t47.63\t4\t999\n6\t2001-06-22 00:00:00\t44\t1\t47.42\t2\t999\n6\t2001-06-22 00:00:00\t45\t1\t46.6\t4\t999\n6\t2001-06-22 00:00:00\t45\t1\t46.6\t2\t999\n6\t2001-06-22 00:00:00\t48\t1\t12.29\t2\t999\n6\t2001-06-22 00:00:00\t48\t1\t12.04\t4\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t2\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t3\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t4\t999\n6\t2001-06-22 00:00:00\t130\t1\t98.8\t3\t999\n6\t2001-06-22 00:00:00\t130\t1\t100.78\t2\t999\n6\t2001-06-22 00:00:00\t130\t1\t97.81\t4\t999\n6\t2001-06-22 00:00:00\t131\t1\t21.35\t2\t999\n6\t2001-06-22 00:00:00\t131\t1\t20.72\t4\t999\n6\t2001-06-22 00:00:00\t131\t1\t20.93\t3\t999\n6\t2001-06-22 00:00:00\t132\t1\t27.59\t3\t999\n6\t2001-06-22 00:00:00\t132\t1\t27.31\t4\t999\n6\t2001-06-22 00:00:00\t132\t1\t28.14\t2\t999\n6\t2001-06-22 00:00:00\t133\t1\t33.07\t4\t999\n6\t2001-06-22 00:00:00\t133\t1\t33.4\t3\t999\n6\t2001-06-22 00:00:00\t133\t1\t34.07\t2\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.97\t4\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.14\t3\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.45\t2\t999\n6\t2001-06-26 00:00:00\t15\t1\t951.29\t2\t999\n6\t2001-06-26 00:00:00\t15\t1\t909.63\t4\t999\n6\t2001-06-26 00:00:00\t15\t1\t947.42\t3\t999\n6\t2001-06-26 00:00:00\t16\t1\t288.34\t4\t999\n6\t2001-06-26 00:00:00\t16\t1\t303.52\t3\t999\n6\t2001-06-26 00:00:00\t16\t1\t306.56\t2\t999\n6\t2001-06-26 00:00:00\t144\t1\t7.96\t2\t999\n6\t2001-06-26 00:00:00\t144\t1\t8.04\t3\t999\n6\t2001-06-26 00:00:00\t144\t1\t7.8\t4\t999\n6\t2001-06-26 00:00:00\t147\t1\t8.18\t2\t999\n6\t2001-06-26 00:00:00\t147\t1\t8.18\t3\t999\n6\t2001-06-26 00:00:00\t147\t1\t7.61\t4\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.86\t2\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.23\t4\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.86\t3\t999\n6\t2001-07-22 00:00:00\t123\t1\t57.86\t3\t999\n6\t2001-07-22 00:00:00\t123\t1\t57.86\t2\t999\n6\t2001-07-22 00:00:00\t123\t1\t56.12\t4\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.15\t4\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.52\t2\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.71\t3\t999\n6\t2001-07-22 00:00:00\t128\t1\t30.73\t3\t999\n6\t2001-07-22 00:00:00\t128\t1\t30.42\t4\t999\n6\t2001-07-22 00:00:00\t128\t1\t31.34\t2\t999\n6\t2001-07-22 00:00:00\t129\t1\t190.67\t4\t999\n6\t2001-07-22 00:00:00\t129\t1\t196.45\t2\t999\n6\t2001-07-22 00:00:00\t129\t1\t192.6\t3\t999\n6\t2001-07-24 00:00:00\t38\t1\t32.14\t3\t999\n6\t2001-07-24 00:00:00\t38\t1\t31.5\t4\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.25\t2\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.25\t3\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.01\t4\t999\n6\t2001-07-24 00:00:00\t113\t1\t24.32\t3\t999\n6\t2001-07-24 00:00:00\t113\t1\t24.32\t4\t999\n6\t2001-07-24 00:00:00\t120\t1\t52.72\t3\t999\n6\t2001-07-24 00:00:00\t120\t1\t52.72\t4\t999\n6\t2001-07-24 00:00:00\t121\t1\t10.69\t4\t999\n6\t2001-07-24 00:00:00\t121\t1\t11.02\t3\t999\n6\t2001-07-24 00:00:00\t130\t1\t98.49\t3\t999\n6\t2001-07-24 00:00:00\t130\t1\t97.51\t4\t999\n6\t2001-07-24 00:00:00\t130\t1\t100.46\t2\t999\n6\t2001-07-24 00:00:00\t131\t1\t20.66\t4\t999\n6\t2001-07-24 00:00:00\t131\t1\t20.87\t3\t999\n6\t2001-07-24 00:00:00\t131\t1\t21.29\t2\t999\n6\t2001-07-24 00:00:00\t132\t1\t27.23\t4\t999\n6\t2001-07-24 00:00:00\t132\t1\t27.5\t3\t999\n6\t2001-07-24 00:00:00\t132\t1\t28.05\t2\t999\n6\t2001-07-24 00:00:00\t133\t1\t32.97\t4\t999\n6\t2001-07-24 00:00:00\t133\t1\t33.3\t3\t999\n6\t2001-07-24 00:00:00\t133\t1\t33.97\t2\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.25\t3\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.03\t4\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.7\t2\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.05\t3\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.88\t4\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.36\t2\t999\n6\t2001-07-28 00:00:00\t15\t1\t937.08\t3\t999\n6\t2001-07-28 00:00:00\t15\t1\t940.9\t2\t999\n6\t2001-07-28 00:00:00\t15\t1\t899.68\t4\t999\n6\t2001-07-28 00:00:00\t19\t1\t58.17\t2\t999\n6\t2001-07-28 00:00:00\t19\t1\t57.01\t4\t999\n6\t2001-07-28 00:00:00\t19\t1\t58.17\t3\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.86\t3\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.86\t2\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.23\t4\t999\n6\t2001-08-22 00:00:00\t123\t1\t56.12\t4\t999\n6\t2001-08-22 00:00:00\t123\t1\t57.86\t2\t999\n6\t2001-08-22 00:00:00\t123\t1\t57.86\t3\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.08\t4\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.45\t2\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.64\t3\t999\n6\t2001-08-22 00:00:00\t128\t1\t30.23\t4\t999\n6\t2001-08-22 00:00:00\t128\t1\t31.15\t2\t999\n6\t2001-08-22 00:00:00\t128\t1\t30.54\t3\t999\n6\t2001-08-22 00:00:00\t129\t1\t191.39\t3\t999\n6\t2001-08-22 00:00:00\t129\t1\t195.22\t2\t999\n6\t2001-08-22 00:00:00\t129\t1\t189.48\t4\t999\n6\t2001-08-24 00:00:00\t38\t1\t31.94\t3\t999\n6\t2001-08-24 00:00:00\t38\t1\t31.3\t4\t999\n6\t2001-08-24 00:00:00\t48\t1\t12.18\t3\t999\n6\t2001-08-24 00:00:00\t48\t1\t12.18\t2\t999\n6\t2001-08-24 00:00:00\t48\t1\t11.94\t4\t999\n6\t2001-08-24 00:00:00\t113\t1\t24.22\t2\t999\n6\t2001-08-24 00:00:00\t113\t1\t24.22\t4\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t4\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t3\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t2\t999\n6\t2001-08-24 00:00:00\t121\t1\t10.66\t4\t999\n6\t2001-08-24 00:00:00\t121\t1\t10.99\t3\t999\n6\t2001-08-24 00:00:00\t130\t1\t99.84\t2\t999\n6\t2001-08-24 00:00:00\t130\t1\t97.88\t3\t999\n6\t2001-08-24 00:00:00\t130\t1\t96.9\t4\t999\n6\t2001-08-24 00:00:00\t131\t1\t20.52\t4\t999\n6\t2001-08-24 00:00:00\t131\t1\t20.73\t3\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.33\t3\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.88\t2\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.06\t4\t999\n6\t2001-08-24 00:00:00\t133\t1\t33.75\t2\t999\n6\t2001-08-24 00:00:00\t133\t1\t33.09\t3\t999\n6\t2001-08-24 00:00:00\t133\t1\t32.76\t4\t999\n6\t2001-08-24 00:00:00\t134\t1\t21.89\t4\t999\n6\t2001-08-24 00:00:00\t134\t1\t22.11\t3\t999\n6\t2001-08-24 00:00:00\t134\t1\t22.55\t2\t999\n6\t2001-08-24 00:00:00\t135\t1\t51.84\t3\t999\n6\t2001-08-24 00:00:00\t135\t1\t52.15\t2\t999\n6\t2001-08-24 00:00:00\t135\t1\t52.67\t4\t999\n6\t2001-08-28 00:00:00\t15\t1\t940.8\t2\t999\n6\t2001-08-28 00:00:00\t19\t1\t57.81\t3\t999\n6\t2001-08-28 00:00:00\t19\t1\t56.65\t4\t999\n6\t2001-08-28 00:00:00\t19\t1\t57.81\t2\t999\n7\t1998-03-19 00:00:00\t41\t1\t48.36\t3\t999\n7\t1998-03-19 00:00:00\t42\t1\t48.36\t3\t999\n7\t1998-03-19 00:00:00\t45\t1\t48.36\t3\t999\n7\t1998-04-18 00:00:00\t125\t1\t16.65\t2\t999\n7\t1998-04-18 00:00:00\t125\t1\t16.65\t3\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t4\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t2\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t3\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t3\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t2\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t4\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t2\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t3\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t4\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t3\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t4\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t2\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t2\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t3\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t4\t999\n7\t1998-05-19 00:00:00\t35\t1\t54.92\t3\t999\n7\t1998-05-30 00:00:00\t35\t1\t54.92\t2\t999\n7\t1998-06-18 00:00:00\t125\t1\t16.65\t3\t999\n7\t1998-06-18 00:00:00\t126\t1\t30.19\t3\t999\n7\t1998-06-18 00:00:00\t127\t1\t39.38\t3\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t2\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t4\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t3\t999\n7\t1998-06-18 00:00:00\t129\t1\t205.48\t3\t999\n7\t1998-06-18 00:00:00\t130\t1\t95.81\t3\t999\n7\t1999-02-19 00:00:00\t24\t1\t50.98\t3\t999\n7\t1999-02-19 00:00:00\t33\t1\t49.38\t3\t999\n7\t1999-02-19 00:00:00\t113\t1\t24.71\t3\t999\n7\t1999-02-19 00:00:00\t114\t1\t20.41\t3\t999\n7\t1999-02-19 00:00:00\t116\t1\t12.88\t3\t999\n7\t1999-02-19 00:00:00\t117\t1\t9.66\t3\t999\n7\t1999-02-19 00:00:00\t118\t1\t8.59\t3\t999\n7\t1999-02-19 00:00:00\t119\t1\t7.52\t3\t999\n7\t1999-02-19 00:00:00\t120\t1\t8.19\t3\t999\n7\t1999-03-19 00:00:00\t23\t1\t25.05\t3\t999\n7\t1999-03-19 00:00:00\t30\t1\t11.38\t3\t999\n7\t1999-03-19 00:00:00\t31\t1\t10.24\t3\t999\n7\t1999-03-19 00:00:00\t35\t1\t59.88\t3\t999\n7\t1999-03-19 00:00:00\t36\t1\t53.89\t3\t999\n7\t1999-03-19 00:00:00\t37\t1\t65.87\t3\t999\n7\t1999-03-19 00:00:00\t38\t1\t35.92\t3\t999\n7\t1999-03-19 00:00:00\t48\t1\t13.66\t3\t999\n7\t1999-05-19 00:00:00\t47\t1\t32.41\t3\t999\n7\t1999-05-30 00:00:00\t47\t1\t29.27\t2\t999\n7\t1999-05-30 00:00:00\t47\t1\t26.04\t4\t999\n7\t2000-03-18 00:00:00\t114\t1\t21.35\t3\t999\n7\t2000-03-18 00:00:00\t120\t1\t8.14\t3\t999\n7\t2000-03-18 00:00:00\t121\t1\t12.8\t3\t999\n7\t2000-03-18 00:00:00\t122\t1\t22.12\t3\t999\n7\t2000-05-18 00:00:00\t114\t1\t21.35\t3\t999\n7\t2000-05-18 00:00:00\t121\t1\t12.8\t3\t999\n7\t2000-05-19 00:00:00\t31\t1\t9.47\t3\t999\n7\t2000-05-30 00:00:00\t31\t1\t9.47\t2\t999\n7\t2001-04-18 00:00:00\t36\t1\t48.41\t3\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t4\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t3\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t2\t999\n7\t2001-04-18 00:00:00\t114\t1\t20.38\t3\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.22\t4\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.44\t2\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.43\t3\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.42\t4\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.7\t3\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.71\t2\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.58\t3\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.53\t4\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.58\t2\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.39\t4\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.32\t2\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.22\t3\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.44\t2\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.44\t3\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.37\t4\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t4\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t3\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t2\t999\n7\t2001-04-18 00:00:00\t121\t1\t10.78\t4\t999\n7\t2001-04-18 00:00:00\t121\t1\t11.11\t2\t999\n7\t2001-04-18 00:00:00\t121\t1\t11.11\t3\t999\n7\t2001-04-18 00:00:00\t122\t1\t20.86\t3\t999\n7\t2001-04-18 00:00:00\t123\t1\t57.86\t3\t999\n7\t2001-04-18 00:00:00\t123\t1\t57.86\t2\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.86\t3\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.29\t4\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.67\t2\t999\n7\t2001-04-18 00:00:00\t131\t1\t21.13\t3\t999\n7\t2001-04-18 00:00:00\t131\t1\t21.55\t2\t999\n7\t2001-04-18 00:00:00\t131\t1\t20.92\t4\t999\n7\t2001-04-18 00:00:00\t132\t1\t27.85\t3\t999\n7\t2001-04-18 00:00:00\t132\t1\t28.41\t2\t999\n7\t2001-04-18 00:00:00\t133\t1\t33.38\t4\t999\n7\t2001-04-18 00:00:00\t133\t1\t33.72\t3\t999\n7\t2001-04-18 00:00:00\t133\t1\t34.39\t2\t999\n7\t2001-04-18 00:00:00\t134\t1\t22.53\t3\t999\n7\t2001-04-18 00:00:00\t135\t1\t53.58\t4\t999\n7\t2001-04-18 00:00:00\t135\t1\t52.74\t3\t999\n7\t2001-04-18 00:00:00\t135\t1\t53.06\t2\t999\n7\t2001-04-18 00:00:00\t137\t1\t52.78\t4\t999\n7\t2001-04-18 00:00:00\t137\t1\t53.86\t3\t999\n7\t2001-04-18 00:00:00\t137\t1\t53.33\t2\t999\n7\t2001-04-18 00:00:00\t138\t1\t142.41\t2\t999\n7\t2001-04-18 00:00:00\t139\t1\t20.89\t4\t999\n7\t2001-04-18 00:00:00\t139\t1\t21.1\t3\t999\n7\t2001-04-18 00:00:00\t139\t1\t21.1\t2\t999\n7\t2001-04-18 00:00:00\t140\t1\t33.5\t2\t999\n7\t2001-04-18 00:00:00\t140\t1\t33.17\t4\t999\n7\t2001-04-18 00:00:00\t141\t1\t32.63\t3\t999\n7\t2001-04-18 00:00:00\t141\t1\t31.98\t4\t999\n7\t2001-04-18 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00:00:00\t129\t1\t198.97\t2\t999\n9\t1998-01-18 00:00:00\t129\t1\t198.97\t4\t999\n9\t1998-10-17 00:00:00\t40\t1\t46.79\t2\t999\n9\t1998-10-17 00:00:00\t40\t1\t46.79\t4\t999\n9\t1998-10-17 00:00:00\t41\t1\t46.79\t4\t999\n9\t1998-10-17 00:00:00\t47\t1\t29.47\t4\t999\n"}]},"jobName":"paragraph_1580935510718_345071791","id":"20200205-204510_383850165","dateCreated":"2018-02-04T23:30:09+0000","dateStarted":"2020-02-07T20:26:08+0000","dateFinished":"2020-02-07T20:26:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display PRODUCTS with product name and associated data for each PROD_ID","text":"%sql\n\nSELECT * FROM SH.PRODUCTS;","user":"MARK","dateUpdated":"2020-02-07T20:26:09+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"PROD_ID","index":0,"aggr":"sum"}],"values":[{"name":"PROD_NAME","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"PROD_NAME","index":1,"aggr":"sum"},"xAxis":{"name":"PROD_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PROD_ID":"string","PROD_NAME":"string","PROD_DESC":"string","PROD_SUBCATEGORY":"string","PROD_SUBCATEGORY_ID":"string","PROD_SUBCATEGORY_DESC":"string","PROD_CATEGORY":"string","PROD_CATEGORY_ID":"string","PROD_CATEGORY_DESC":"string","PROD_WEIGHT_CLASS":"string","PROD_UNIT_OF_MEASURE":"string","PROD_PACK_SIZE":"string","SUPPLIER_ID":"string","PROD_STATUS":"string","PROD_LIST_PRICE":"string","PROD_MIN_PRICE":"string","PROD_TOTAL":"string","PROD_TOTAL_ID":"string","PROD_SRC_ID":"string","PROD_EFF_FROM":"string","PROD_EFF_TO":"string","PROD_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PROD_ID\tPROD_NAME\tPROD_DESC\tPROD_SUBCATEGORY\tPROD_SUBCATEGORY_ID\tPROD_SUBCATEGORY_DESC\tPROD_CATEGORY\tPROD_CATEGORY_ID\tPROD_CATEGORY_DESC\tPROD_WEIGHT_CLASS\tPROD_UNIT_OF_MEASURE\tPROD_PACK_SIZE\tSUPPLIER_ID\tPROD_STATUS\tPROD_LIST_PRICE\tPROD_MIN_PRICE\tPROD_TOTAL\tPROD_TOTAL_ID\tPROD_SRC_ID\tPROD_EFF_FROM\tPROD_EFF_TO\tPROD_VALID\n13\t5MP Telephoto Digital Camera\t5MP Telephoto Digital Camera\tCameras\t2044\tCameras\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t899.99\t899.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n14\t17\" LCD w/built-in HDTV Tuner\t17\" LCD w/built-in HDTV Tuner\tMonitors\t2035\tMonitors\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t999.99\t999.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n15\tEnvoy 256MB - 40GB\tEnvoy 256MB - 40Gb\tDesktop PCs\t2021\tDesktop PCs\tHardware\t202\tHardware\t1\tU\tP\t1\tSTATUS\t999.99\t999.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n16\tY Box\tY Box\tGame Consoles\t2011\tGame Consoles\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t299.99\t299.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n17\tMini DV Camcorder with 3.5\" Swivel LCD\tMini DV Camcorder with 3.5\" Swivel LCD\tCamcorders\t2041\tCamcorders\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t1099.99\t1099.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n18\tEnvoy Ambassador\tEnvoy Ambassador\tPortable PCs\t2022\tPortable PCs\tHardware\t202\tHardware\t1\tU\tP\t1\tSTATUS\t1299.99\t1299.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n19\tLaptop carrying case\tLaptop carrying case\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t55.99\t55.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n20\tHome Theatre Package with DVD-Audio/Video Play\tHome Theatre Package with DVD-Audio/Video Play\tHome Audio\t2012\tHome Audio\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t599.99\t599.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n21\t18\" Flat Panel Graphics Monitor\t18\" Flat Panel Graphics Monitor\tMonitors\t2035\tMonitors\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t899.99\t899.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n22\tEnvoy External Keyboard\tEnvoy External Keyboard\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t24.99\t24.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n23\tExternal 101-key keyboard\tExternal 101-key keyboard\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t21.99\t21.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n24\tPCMCIA modem/fax 28800 baud\tPCMCIA modem/fax 28800 baud\tModems/Fax\t2034\tModems/Fax\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t45.99\t45.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n25\tSIMM- 8MB PCMCIAII card\tSIMM- 8MB PCMCIAII card\tMemory\t2033\tMemory\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t112.99\t112.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n26\tSIMM- 16MB PCMCIAII card\tSIMM- 16MB PCMCIAII card\tMemory\t2033\tMemory\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t149.99\t149.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n27\tMultimedia speakers- 3\" cones\tMultimedia speakers- 3\" cones\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n28\tUnix/Windows 1-user pack\tUnix/Windows 1-user pack\tOperating Systems\t2052\tOperating Systems\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t199.99\t199.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n29\t8.3 Minitower Speaker\t8.3 Minitower Speaker\tHome Audio\t2012\tHome Audio\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t499.99\t499.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n30\tMouse Pad\tMouse Pad\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t9.99\t9.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n31\t1.44MB External 3.5\" Diskette\t1.44MB External 3.5\" Diskette\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n32\tMultimedia speakers- 5\" cones\tMultimedia speakers- 5\" cones\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t67.99\t67.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n33\tPCMCIA modem/fax 19200 baud\tPCMCIA modem/fax 19200 baud\tModems/Fax\t2034\tModems/Fax\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n34\tExternal 6X CD-ROM\tExternal 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t39.99\t39.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n35\tExternal 8X CD-ROM\tExternal 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n36\tEnvoy External 6X CD-ROM\tEnvoy External 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n37\tEnvoy External 8X CD-ROM\tEnvoy External 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t54.99\t54.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n38\tInternal 6X CD-ROM\tInternal 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n39\tInternal 8X CD-ROM\tInternal 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t34.99\t34.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n40\tO/S Documentation Set - English\tO/S Documentation Set - English\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n41\tO/S Documentation Set - German\tO/S Documentation Set - German\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n42\tO/S Documentation Set - French\tO/S Documentation Set - French\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n43\tO/S Documentation Set - Spanish\tO/S Documentation Set - Spanish\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n44\tO/S Documentation Set - Italian\tO/S Documentation Set - Italian\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n45\tO/S Documentation Set - Kanji\tO/S Documentation Set - Kanji\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n46\tStandard Mouse\tStandard Mouse\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t22.99\t22.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n47\tDeluxe Mouse\tDeluxe Mouse\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t28.99\t28.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n48\tKeyboard Wrist Rest\tKeyboard Wrist Rest\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n113\tCD-R Mini Discs\tCD-R Mini Discs with Jewel Case, 185MB, Pack of 5\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t22.99\t22.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n114\tMusic CD-R\tMusic CD-R with Spindle, 700MB, Pack of 30\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n115\tCD-RW, High Speed, Pack of 10\tCD-RW, High Speed, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n116\tCD-RW, High Speed Pack of 5\tCD-RW, High Speed 650MB/74 Minutes, Pack of 5\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n117\tCD-R, Professional Grade, Pack of 10\tCD-R, Professional Grade, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n118\tOraMusic CD-R, Pack of 10\tOraMusic CD-R, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n119\tCD-R with Jewel Cases, pACK OF 12\tCD-R with Jewel Cases, 700MB/80 Minutes, Pack of 12\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t6.99\t6.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n120\tDVD-R Disc with Jewel Case, 4.7 GB\tDVD-R Disc with Jewel Case, 4.7 GB\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t6.99\t6.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n121\tDVD-RAM Jewel Case, Double-Sided, 9.4G\tDVD-RAM Media, with Jewel Case, Double-Sided, 9.4GB\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t10.99\t10.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n122\tDVD-R Discs, 4.7GB, Pack of 5\tDVD-R Discs, 4.7GB, Pack of 5\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n123\tDVD-R Discs, 4.7GB, Pack of 5\tDVD-R Discs, 4.7GB, Pack of 5\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n124\tDVD-RW Discs, 4.7GB, Pack of 3\tDVD-RW Discs, 4.7GB, Pack of 3\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n125\t3 1/2\" Bulk diskettes, Box of 50\t3 1/2\" Bulk diskettes, Box of 50\tBulk Pack Diskettes\t2053\tBulk Pack Diskettes\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t15.99\t15.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n126\t3 1/2\" Bulk diskettes, Box of 100\t3 1/2\" Bulk diskettes, Box of 100\tBulk Pack Diskettes\t2053\tBulk Pack Diskettes\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t28.99\t28.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n127\tModel CD13272 Tricolor Ink Cartridge\tModel CD13272 Tricolor Ink Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t36.99\t36.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n128\tModel SM26273 Black Ink Cartridge\tModel SM26273 Black Ink Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t27.99\t27.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n129\tModel NM500X High Yield Toner Cartridge\tModel NM500X High Yield Toner Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t192.99\t192.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n130\tModel A3827H Black Image Cartridge\tModel A3827H Black Image Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t89.99\t89.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n131\tModel K3822L Cordless Phone Battery\tModel K3822L Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n132\tModel C9827B Cordless Phone Battery\tModel C9827B Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t24.99\t24.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n133\tModel K8822S Cordless Phone Battery\tModel K8822S Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t30.99\t30.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n134\tModel C93822D Wireless Phone Battery\tModel C93822D Wireless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t20.99\t20.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n135\tS27273M Extended Use w/l Phone Batt.\tModel S27273M Extended Use Wireless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n136\t64MB Memory Card\t64MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t32.99\t32.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n137\t128MB Memory Card\t128MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t52.99\t52.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n138\t256MB Memory Card\t256MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t69.99\t69.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n139\tBounce\tBounce\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t4\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n140\tEndurance Racing\tEndurance Racing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n141\tSmash up Boxing\tSmash up Boxing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n142\tMartial Arts Champions\tMartial Arts Champions\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n143\tComic Book Heroes\tComic Book Heroes\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n144\tFly Fishing\tFly Fishing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n145\tFinding Fido\tFinding Fido\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t12.99\t12.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n146\tAdventures with Numbers\tAdventures with Numbers\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n147\tExtension Cable\tExtension Cable\tY Box Accessories\t2013\tY Box Accessories\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n148\tXtend Memory\tXtend Memory\tY Box Accessories\t2013\tY Box Accessories\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t20.99\t20.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n"}]},"jobName":"paragraph_1580935510718_2138740823","id":"20200205-204510_215037688","dateCreated":"2018-02-04T23:31:50+0000","dateStarted":"2020-02-07T20:26:09+0000","dateFinished":"2020-02-07T20:26:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Prepare Sales transactional data for market basket analysis and create a SALES_TRANS_CUST view ","text":"%script\n\n-- Join data from the SH.SALES and SH.PRODUCTS tables to provide the product names and categories purchased by each customer\n\nCREATE OR REPLACE VIEW SALES_TRANS_CUST AS\n SELECT DISTINCT CUST_ID, PROD_NAME, PROD_CATEGORY\n FROM (SELECT A.CUST_ID, B.PROD_NAME, B.PROD_CATEGORY\n FROM SH.SALES A, SH.PRODUCTS B\n WHERE A.PROD_ID = B.PROD_ID AND\n A.CUST_ID BETWEEN 100001 AND 104500);","user":"MARK","dateUpdated":"2020-02-07T20:26:10+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9,"tableHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView SALES_TRANS_CUST created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580935510718_2137755618","id":"20200205-204510_274256297","dateCreated":"2018-02-04T23:32:12+0000","dateStarted":"2020-02-07T20:26:10+0000","dateFinished":"2020-02-07T20:26:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display view SALES_TRANS_CUST","text":"%sql\n\n-- Display data from Sales Transactional Data view created above\n\nSELECT * FROM SALES_TRANS_CUST;","user":"MARK","dateUpdated":"2020-02-07T20:26:10+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"pieChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROD_NAME":"string","PROD_CATEGORY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"PROD_CATEGORY","index":2,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROD_NAME\tPROD_CATEGORY\n100091\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100113\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100114\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100096\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100096\tMouse Pad\tSoftware/Other\n100100\tExternal 8X CD-ROM\tPeripherals and Accessories\n100099\tO/S Documentation Set - English\tSoftware/Other\n100099\tStandard Mouse\tPeripherals and Accessories\n100105\tStandard Mouse\tPeripherals and Accessories\n100096\tKeyboard Wrist Rest\tSoftware/Other\n100097\tKeyboard Wrist Rest\tSoftware/Other\n100112\tExtension Cable\tElectronics\n100122\tExtension Cable\tElectronics\n100138\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100144\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100156\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100132\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100124\tMouse Pad\tSoftware/Other\n100125\tMouse Pad\tSoftware/Other\n100128\tExternal 8X CD-ROM\tPeripherals and Accessories\n100147\tExternal 8X CD-ROM\tPeripherals and Accessories\n100125\tStandard Mouse\tPeripherals and Accessories\n100133\tKeyboard Wrist Rest\tSoftware/Other\n100155\tKeyboard Wrist Rest\tSoftware/Other\n100124\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100128\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100151\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100125\tExtension Cable\tElectronics\n100131\tExtension Cable\tElectronics\n100139\tExtension Cable\tElectronics\n100154\tExtension Cable\tElectronics\n100232\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tMouse Pad\tSoftware/Other\n100262\tMouse Pad\tSoftware/Other\n100242\tExternal 8X CD-ROM\tPeripherals and Accessories\n100156\tO/S Documentation Set - English\tSoftware/Other\n100245\tO/S Documentation Set - English\tSoftware/Other\n100263\tO/S Documentation Set - English\tSoftware/Other\n100160\tStandard Mouse\tPeripherals and Accessories\n100264\tStandard Mouse\tPeripherals and Accessories\n100232\tKeyboard Wrist Rest\tSoftware/Other\n100234\tKeyboard Wrist Rest\tSoftware/Other\n100235\tKeyboard Wrist Rest\tSoftware/Other\n100230\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100231\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100158\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100240\tExtension Cable\tElectronics\n100268\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100292\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100274\tMouse Pad\tSoftware/Other\n100279\tMouse Pad\tSoftware/Other\n100268\tExternal 8X CD-ROM\tPeripherals and Accessories\n100290\tKeyboard Wrist Rest\tSoftware/Other\n100271\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100273\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100286\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100288\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100282\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100269\tExtension Cable\tElectronics\n100276\tExtension Cable\tElectronics\n100300\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100317\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100318\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100300\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100301\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100302\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100319\tMouse Pad\tSoftware/Other\n100317\tO/S Documentation Set - English\tSoftware/Other\n100328\tStandard Mouse\tPeripherals and Accessories\n100336\tKeyboard Wrist Rest\tSoftware/Other\n100326\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100331\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100308\tExtension Cable\tElectronics\n100319\tExtension Cable\tElectronics\n100367\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100359\tMouse Pad\tSoftware/Other\n100361\tMouse Pad\tSoftware/Other\n100369\tExternal 8X CD-ROM\tPeripherals and Accessories\n100356\tO/S Documentation Set - English\tSoftware/Other\n100357\tO/S Documentation Set - English\tSoftware/Other\n100342\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100343\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100351\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100358\tExtension Cable\tElectronics\n100368\tExtension Cable\tElectronics\n100375\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100384\tStandard Mouse\tPeripherals and Accessories\n100168\tStandard Mouse\tPeripherals and Accessories\n100180\tKeyboard Wrist Rest\tSoftware/Other\n100163\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100163\tExtension Cable\tElectronics\n100175\tExtension Cable\tElectronics\n100181\tExtension Cable\tElectronics\n100184\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100190\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100214\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100185\tMouse Pad\tSoftware/Other\n100202\tMouse Pad\tSoftware/Other\n100204\tMouse Pad\tSoftware/Other\n100198\tExternal 8X CD-ROM\tPeripherals and Accessories\n100209\tExternal 8X CD-ROM\tPeripherals and Accessories\n100196\tStandard Mouse\tPeripherals and Accessories\n100204\tStandard Mouse\tPeripherals and Accessories\n100185\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100189\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100205\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100207\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100203\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100212\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100214\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100215\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100191\tExtension Cable\tElectronics\n100205\tExtension Cable\tElectronics\n100013\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100021\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100224\tStandard Mouse\tPeripherals and Accessories\n100218\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100222\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100219\tExtension Cable\tElectronics\n100059\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100044\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100024\tMouse Pad\tSoftware/Other\n100058\tMouse Pad\tSoftware/Other\n100031\tExternal 8X CD-ROM\tPeripherals and Accessories\n100059\tExternal 8X CD-ROM\tPeripherals and Accessories\n100041\tO/S Documentation Set - English\tSoftware/Other\n100053\tO/S Documentation Set - English\tSoftware/Other\n100054\tStandard Mouse\tPeripherals and Accessories\n100039\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100059\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100025\tExtension Cable\tElectronics\n100052\tExtension Cable\tElectronics\n100071\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100071\tExternal 8X CD-ROM\tPeripherals and Accessories\n100074\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100538\tExtension Cable\tElectronics\n100586\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100560\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100584\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100547\tMouse Pad\tSoftware/Other\n100547\tExternal 8X CD-ROM\tPeripherals and Accessories\n100551\tStandard Mouse\tPeripherals and Accessories\n100555\tStandard Mouse\tPeripherals and Accessories\n100573\tStandard Mouse\tPeripherals and Accessories\n100584\tKeyboard Wrist Rest\tSoftware/Other\n100553\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100563\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100584\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100586\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100576\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100565\tExtension Cable\tElectronics\n100614\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100620\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100617\tMouse Pad\tSoftware/Other\n100587\tStandard Mouse\tPeripherals and Accessories\n100598\tStandard Mouse\tPeripherals and Accessories\n100607\tStandard Mouse\tPeripherals and Accessories\n100620\tStandard Mouse\tPeripherals and Accessories\n100590\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100617\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100601\tExtension Cable\tElectronics\n100607\tExtension Cable\tElectronics\n100617\tExtension Cable\tElectronics\n100624\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100636\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tMouse Pad\tSoftware/Other\n100645\tMouse Pad\tSoftware/Other\n100638\tExternal 8X CD-ROM\tPeripherals and Accessories\n100632\tO/S Documentation Set - English\tSoftware/Other\n100642\tStandard Mouse\tPeripherals and Accessories\n100649\tStandard Mouse\tPeripherals and Accessories\n100642\tKeyboard Wrist Rest\tSoftware/Other\n100631\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100633\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100640\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100664\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100679\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100681\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100672\tMouse Pad\tSoftware/Other\n100675\tExternal 8X CD-ROM\tPeripherals and Accessories\n100662\tO/S Documentation Set - English\tSoftware/Other\n100669\tO/S Documentation Set - English\tSoftware/Other\n100837\tO/S Documentation Set - English\tSoftware/Other\n100840\tStandard Mouse\tPeripherals and Accessories\n100665\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100842\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100679\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100682\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100840\tExtension Cable\tElectronics\n100872\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100874\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100845\tMouse Pad\tSoftware/Other\n100848\tMouse Pad\tSoftware/Other\n100852\tMouse Pad\tSoftware/Other\n100860\tMouse Pad\tSoftware/Other\n100864\tMouse Pad\tSoftware/Other\n100878\tMouse Pad\tSoftware/Other\n100847\tExternal 8X CD-ROM\tPeripherals and Accessories\n100866\tExternal 8X CD-ROM\tPeripherals and Accessories\n100857\tO/S Documentation Set - English\tSoftware/Other\n100856\tStandard Mouse\tPeripherals and Accessories\n100845\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100871\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100858\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100894\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100905\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100881\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100891\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100894\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100880\tMouse Pad\tSoftware/Other\n100896\tExternal 8X CD-ROM\tPeripherals and Accessories\n100885\tStandard Mouse\tPeripherals and Accessories\n100882\tKeyboard Wrist Rest\tSoftware/Other\n100900\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100909\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100880\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100899\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100911\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100880\tExtension Cable\tElectronics\n100894\tExtension Cable\tElectronics\n100929\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100931\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100918\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100929\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100934\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100924\tMouse Pad\tSoftware/Other\n100934\tStandard Mouse\tPeripherals and Accessories\n100944\tStandard Mouse\tPeripherals and Accessories\n100915\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100939\tExtension Cable\tElectronics\n100962\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100692\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100949\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMouse Pad\tSoftware/Other\n100686\tMouse Pad\tSoftware/Other\n100959\tExternal 8X CD-ROM\tPeripherals and Accessories\n100958\tO/S Documentation Set - English\tSoftware/Other\n100945\tStandard Mouse\tPeripherals and Accessories\n100948\tStandard Mouse\tPeripherals and Accessories\n100691\tStandard Mouse\tPeripherals and Accessories\n100955\tKeyboard Wrist Rest\tSoftware/Other\n100945\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100965\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100692\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100946\tExtension Cable\tElectronics\n100950\tExtension Cable\tElectronics\n100959\tExtension Cable\tElectronics\n100728\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100727\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tStandard Mouse\tPeripherals and Accessories\n100721\tStandard Mouse\tPeripherals and Accessories\n100701\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100693\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100710\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100712\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100699\tExtension Cable\tElectronics\n100719\tExtension Cable\tElectronics\n100744\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100751\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100743\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100738\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100736\tMouse Pad\tSoftware/Other\n100753\tMouse Pad\tSoftware/Other\n100740\tExternal 8X CD-ROM\tPeripherals and Accessories\n100742\tO/S Documentation Set - English\tSoftware/Other\n100733\tStandard Mouse\tPeripherals and Accessories\n100741\tStandard Mouse\tPeripherals and Accessories\n100752\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100736\tExtension Cable\tElectronics\n100741\tExtension Cable\tElectronics\n100760\tExtension Cable\tElectronics\n100784\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100776\tMouse Pad\tSoftware/Other\n100781\tExternal 8X CD-ROM\tPeripherals and Accessories\n100782\tExternal 8X CD-ROM\tPeripherals and Accessories\n100764\tO/S Documentation Set - English\tSoftware/Other\n100787\tStandard Mouse\tPeripherals and Accessories\n100785\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100778\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100789\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100795\tExtension Cable\tElectronics\n100809\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100813\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100828\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100833\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100386\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100830\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100808\tMouse Pad\tSoftware/Other\n100827\tExternal 8X CD-ROM\tPeripherals and Accessories\n100820\tStandard Mouse\tPeripherals and Accessories\n100812\tExtension Cable\tElectronics\n100822\tExtension Cable\tElectronics\n100823\tExtension Cable\tElectronics\n100835\tExtension Cable\tElectronics\n100399\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100417\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100411\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100404\tMouse Pad\tSoftware/Other\n100420\tMouse Pad\tSoftware/Other\n100408\tExternal 8X CD-ROM\tPeripherals and Accessories\n100410\tExternal 8X CD-ROM\tPeripherals and Accessories\n100392\tO/S Documentation Set - English\tSoftware/Other\n100406\tStandard Mouse\tPeripherals and Accessories\n100388\tKeyboard Wrist Rest\tSoftware/Other\n100388\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100398\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100415\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100395\tExtension Cable\tElectronics\n100423\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100438\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100439\tMouse Pad\tSoftware/Other\n100441\tStandard Mouse\tPeripherals and Accessories\n100438\tKeyboard Wrist Rest\tSoftware/Other\n100451\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100429\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100435\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100438\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100441\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100476\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100484\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100475\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100487\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100463\tMouse Pad\tSoftware/Other\n100478\tO/S Documentation Set - English\tSoftware/Other\n100458\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100474\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100463\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100474\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tExtension Cable\tElectronics\n100511\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100524\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100527\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100500\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100511\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100493\tMouse Pad\tSoftware/Other\n100504\tMouse Pad\tSoftware/Other\n100520\tExternal 8X CD-ROM\tPeripherals and Accessories\n100505\tO/S Documentation Set - English\tSoftware/Other\n100519\tO/S Documentation Set - English\tSoftware/Other\n100527\tO/S Documentation Set - English\tSoftware/Other\n100494\tStandard Mouse\tPeripherals and Accessories\n100509\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100519\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100521\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100510\tExtension Cable\tElectronics\n100530\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100989\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100982\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100978\tExternal 8X CD-ROM\tPeripherals and Accessories\n100989\tStandard Mouse\tPeripherals and Accessories\n100976\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100989\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100093\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100118\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100122\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100093\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100099\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100109\tMouse Pad\tSoftware/Other\n100090\tExternal 8X CD-ROM\tPeripherals and Accessories\n100094\tO/S Documentation Set - English\tSoftware/Other\n100120\tKeyboard Wrist Rest\tSoftware/Other\n100107\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100123\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100113\tExtension Cable\tElectronics\n100115\tExtension Cable\tElectronics\n100127\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100150\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100129\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100139\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100134\tMouse Pad\tSoftware/Other\n100141\tMouse Pad\tSoftware/Other\n100149\tExternal 8X CD-ROM\tPeripherals and Accessories\n100130\tO/S Documentation Set - English\tSoftware/Other\n100139\tStandard Mouse\tPeripherals and Accessories\n100154\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100141\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100147\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100137\tExtension Cable\tElectronics\n100232\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100245\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100259\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100242\tMouse Pad\tSoftware/Other\n100246\tMouse Pad\tSoftware/Other\n100253\tMouse Pad\tSoftware/Other\n100239\tExternal 8X CD-ROM\tPeripherals and Accessories\n100258\tExternal 8X CD-ROM\tPeripherals and Accessories\n100261\tExternal 8X CD-ROM\tPeripherals and Accessories\n100259\tStandard Mouse\tPeripherals and Accessories\n100258\tKeyboard Wrist Rest\tSoftware/Other\n100259\tKeyboard Wrist Rest\tSoftware/Other\n100232\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100249\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100233\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100158\tExtension Cable\tElectronics\n100246\tExtension Cable\tElectronics\n100264\tExtension Cable\tElectronics\n100296\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100267\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100289\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100294\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100282\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100289\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100281\tMouse Pad\tSoftware/Other\n100281\tExternal 8X CD-ROM\tPeripherals and Accessories\n100282\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tExternal 8X CD-ROM\tPeripherals and Accessories\n100267\tStandard Mouse\tPeripherals and Accessories\n100268\tStandard Mouse\tPeripherals and Accessories\n100288\tKeyboard Wrist Rest\tSoftware/Other\n100293\tKeyboard Wrist Rest\tSoftware/Other\n100277\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100279\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100285\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tExtension Cable\tElectronics\n100336\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100323\tMouse Pad\tSoftware/Other\n100336\tMouse Pad\tSoftware/Other\n100305\tExternal 8X CD-ROM\tPeripherals and Accessories\n100333\tExternal 8X CD-ROM\tPeripherals and Accessories\n100323\tStandard Mouse\tPeripherals and Accessories\n100320\tKeyboard Wrist Rest\tSoftware/Other\n100322\tKeyboard Wrist Rest\tSoftware/Other\n100348\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100364\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100337\tMouse Pad\tSoftware/Other\n100365\tMouse Pad\tSoftware/Other\n100343\tStandard Mouse\tPeripherals and Accessories\n100347\tStandard Mouse\tPeripherals and Accessories\n100359\tStandard Mouse\tPeripherals and Accessories\n100342\tKeyboard Wrist Rest\tSoftware/Other\n100370\tKeyboard Wrist Rest\tSoftware/Other\n100346\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100355\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100362\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100356\tExtension Cable\tElectronics\n100169\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100175\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100374\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100170\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tMouse Pad\tSoftware/Other\n100163\tMouse Pad\tSoftware/Other\n100383\tExternal 8X CD-ROM\tPeripherals and Accessories\n100178\tExternal 8X CD-ROM\tPeripherals and Accessories\n100161\tO/S Documentation Set - English\tSoftware/Other\n100176\tStandard Mouse\tPeripherals and Accessories\n100180\tStandard Mouse\tPeripherals and Accessories\n100181\tStandard Mouse\tPeripherals and Accessories\n100170\tExtension Cable\tElectronics\n100180\tExtension Cable\tElectronics\n100196\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100208\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100189\tMouse Pad\tSoftware/Other\n100199\tExternal 8X CD-ROM\tPeripherals and Accessories\n100189\tStandard Mouse\tPeripherals and Accessories\n100190\tStandard Mouse\tPeripherals and Accessories\n100200\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100204\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100194\tExtension Cable\tElectronics\n100199\tExtension Cable\tElectronics\n100203\tExtension Cable\tElectronics\n100224\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100009\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100011\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100017\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100220\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100014\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100004\tExternal 8X CD-ROM\tPeripherals and Accessories\n100011\tExternal 8X CD-ROM\tPeripherals and Accessories\n100003\tStandard Mouse\tPeripherals and Accessories\n100016\tStandard Mouse\tPeripherals and Accessories\n100001\tKeyboard Wrist Rest\tSoftware/Other\n100226\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100008\tExtension Cable\tElectronics\n100024\tExtension Cable\tElectronics\n100043\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100042\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100066\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100054\tMouse Pad\tSoftware/Other\n100026\tStandard Mouse\tPeripherals and Accessories\n100031\tStandard Mouse\tPeripherals and Accessories\n100051\tStandard Mouse\tPeripherals and Accessories\n100064\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100026\tExtension Cable\tElectronics\n100066\tExtension Cable\tElectronics\n100075\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100083\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100533\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100074\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100532\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100544\tMouse Pad\tSoftware/Other\n100535\tExternal 8X CD-ROM\tPeripherals and Accessories\n100532\tStandard Mouse\tPeripherals and Accessories\n100069\tKeyboard Wrist Rest\tSoftware/Other\n100576\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100565\tMouse Pad\tSoftware/Other\n100568\tMouse Pad\tSoftware/Other\n100564\tExternal 8X CD-ROM\tPeripherals and Accessories\n100585\tExternal 8X CD-ROM\tPeripherals and Accessories\n100552\tO/S Documentation Set - English\tSoftware/Other\n100586\tKeyboard Wrist Rest\tSoftware/Other\n100556\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100569\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100609\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100620\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100617\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100622\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100620\tMouse Pad\tSoftware/Other\n100597\tO/S Documentation Set - English\tSoftware/Other\n100594\tStandard Mouse\tPeripherals and Accessories\n100614\tKeyboard Wrist Rest\tSoftware/Other\n100620\tKeyboard Wrist Rest\tSoftware/Other\n100587\tExtension Cable\tElectronics\n100620\tExtension Cable\tElectronics\n100629\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100655\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100640\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100645\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100656\tMouse Pad\tSoftware/Other\n100626\tExternal 8X CD-ROM\tPeripherals and Accessories\n100627\tExternal 8X CD-ROM\tPeripherals and Accessories\n100643\tExternal 8X CD-ROM\tPeripherals and Accessories\n100651\tExternal 8X CD-ROM\tPeripherals and Accessories\n100660\tExternal 8X CD-ROM\tPeripherals and Accessories\n100650\tO/S Documentation Set - English\tSoftware/Other\n100651\tO/S Documentation Set - English\tSoftware/Other\n100645\tStandard Mouse\tPeripherals and Accessories\n100629\tKeyboard Wrist Rest\tSoftware/Other\n100639\tKeyboard Wrist Rest\tSoftware/Other\n100660\tKeyboard Wrist Rest\tSoftware/Other\n100639\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100644\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100624\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100625\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100634\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100665\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100671\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100676\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100684\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100664\tO/S Documentation Set - English\tSoftware/Other\n100676\tO/S Documentation Set - English\tSoftware/Other\n100842\tO/S Documentation Set - English\tSoftware/Other\n100677\tKeyboard Wrist Rest\tSoftware/Other\n100670\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100684\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100667\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100672\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100873\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100853\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100862\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100857\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100874\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100871\tExternal 8X CD-ROM\tPeripherals and Accessories\n100878\tKeyboard Wrist Rest\tSoftware/Other\n100883\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100911\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100880\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100888\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100910\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100911\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100890\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100904\tExternal 8X CD-ROM\tPeripherals and Accessories\n100906\tExternal 8X CD-ROM\tPeripherals and Accessories\n100883\tStandard Mouse\tPeripherals and Accessories\n100900\tStandard Mouse\tPeripherals and Accessories\n100912\tStandard Mouse\tPeripherals and Accessories\n100889\tKeyboard Wrist Rest\tSoftware/Other\n100885\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100896\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100899\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100891\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100892\tExtension Cable\tElectronics\n100893\tExtension Cable\tElectronics\n100912\tExtension Cable\tElectronics\n100913\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100930\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100931\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100933\tMouse Pad\tSoftware/Other\n100937\tMouse Pad\tSoftware/Other\n100930\tExternal 8X CD-ROM\tPeripherals and Accessories\n100923\tStandard Mouse\tPeripherals and Accessories\n100929\tKeyboard Wrist Rest\tSoftware/Other\n100922\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100928\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100918\tExtension Cable\tElectronics\n100933\tExtension Cable\tElectronics\n100970\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100951\tMouse Pad\tSoftware/Other\n100948\tExternal 8X CD-ROM\tPeripherals and Accessories\n100951\tO/S Documentation Set - English\tSoftware/Other\n100954\tStandard Mouse\tPeripherals and Accessories\n100960\tStandard Mouse\tPeripherals and Accessories\n100963\tStandard Mouse\tPeripherals and Accessories\n100690\tStandard Mouse\tPeripherals and Accessories\n100963\tKeyboard Wrist Rest\tSoftware/Other\n100710\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100729\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100699\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100700\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100721\tMouse Pad\tSoftware/Other\n100695\tExternal 8X CD-ROM\tPeripherals and Accessories\n100715\tExternal 8X CD-ROM\tPeripherals and Accessories\n100728\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tO/S Documentation Set - English\tSoftware/Other\n100694\tStandard Mouse\tPeripherals and Accessories\n100727\tStandard Mouse\tPeripherals and Accessories\n100709\tKeyboard Wrist Rest\tSoftware/Other\n100708\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100729\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100720\tExtension Cable\tElectronics\n100754\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100751\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100754\tMouse Pad\tSoftware/Other\n100748\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100762\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100755\tExtension Cable\tElectronics\n100763\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100770\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100779\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100782\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100769\tExternal 8X CD-ROM\tPeripherals and Accessories\n100793\tExternal 8X CD-ROM\tPeripherals and Accessories\n100796\tO/S Documentation Set - English\tSoftware/Other\n100796\tKeyboard Wrist Rest\tSoftware/Other\n100790\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100795\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100781\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100780\tExtension Cable\tElectronics\n100790\tExtension Cable\tElectronics\n100817\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100830\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100387\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100810\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100827\tMouse Pad\tSoftware/Other\n100830\tMouse Pad\tSoftware/Other\n100828\tExternal 8X CD-ROM\tPeripherals and Accessories\n100823\tStandard Mouse\tPeripherals and Accessories\n100820\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100830\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100809\tExtension Cable\tElectronics\n100394\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100403\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100402\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100417\tO/S Documentation Set - English\tSoftware/Other\n100390\tStandard Mouse\tPeripherals and Accessories\n100393\tStandard Mouse\tPeripherals and Accessories\n100394\tStandard Mouse\tPeripherals and Accessories\n100405\tStandard Mouse\tPeripherals and Accessories\n100413\tKeyboard Wrist Rest\tSoftware/Other\n100442\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100444\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100432\tMouse Pad\tSoftware/Other\n100443\tMouse Pad\tSoftware/Other\n100456\tMouse Pad\tSoftware/Other\n100428\tExternal 8X CD-ROM\tPeripherals and Accessories\n100442\tExternal 8X CD-ROM\tPeripherals and Accessories\n100452\tO/S Documentation Set - English\tSoftware/Other\n100443\tStandard Mouse\tPeripherals and Accessories\n100433\tKeyboard Wrist Rest\tSoftware/Other\n100450\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100453\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100437\tExtension Cable\tElectronics\n100440\tExtension Cable\tElectronics\n100448\tExtension Cable\tElectronics\n100456\tExtension Cable\tElectronics\n100480\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100473\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100490\tMouse Pad\tSoftware/Other\n100460\tExternal 8X CD-ROM\tPeripherals and Accessories\n100472\tExternal 8X CD-ROM\tPeripherals and Accessories\n100465\tKeyboard Wrist Rest\tSoftware/Other\n100477\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100486\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100487\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100459\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100469\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100482\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100484\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100465\tExtension Cable\tElectronics\n100475\tExtension Cable\tElectronics\n100490\tExtension Cable\tElectronics\n100497\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100505\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100512\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100514\tMouse Pad\tSoftware/Other\n100502\tExternal 8X CD-ROM\tPeripherals and Accessories\n100509\tExternal 8X CD-ROM\tPeripherals and Accessories\n100512\tExternal 8X CD-ROM\tPeripherals and Accessories\n100515\tExternal 8X CD-ROM\tPeripherals and Accessories\n100523\tExternal 8X CD-ROM\tPeripherals and Accessories\n100510\tO/S Documentation Set - English\tSoftware/Other\n100493\tStandard Mouse\tPeripherals and Accessories\n100510\tKeyboard Wrist Rest\tSoftware/Other\n100522\tKeyboard Wrist Rest\tSoftware/Other\n100982\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100988\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100530\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100980\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100985\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100991\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100993\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100995\tMouse Pad\tSoftware/Other\n100988\tExternal 8X CD-ROM\tPeripherals and Accessories\n100530\tO/S Documentation Set - English\tSoftware/Other\n100970\tO/S Documentation Set - English\tSoftware/Other\n100998\tO/S Documentation Set - English\tSoftware/Other\n100981\tStandard Mouse\tPeripherals and Accessories\n101000\tKeyboard Wrist Rest\tSoftware/Other\n100530\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100978\tExtension Cable\tElectronics\n100990\tExtension Cable\tElectronics\n100105\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100109\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100091\tMouse Pad\tSoftware/Other\n100113\tMouse Pad\tSoftware/Other\n100120\tExternal 8X CD-ROM\tPeripherals and Accessories\n100109\tStandard Mouse\tPeripherals and Accessories\n100108\tKeyboard Wrist Rest\tSoftware/Other\n100121\tKeyboard Wrist Rest\tSoftware/Other\n100097\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100101\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100113\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100108\tExtension Cable\tElectronics\n100131\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100137\tMouse Pad\tSoftware/Other\n100147\tMouse Pad\tSoftware/Other\n100150\tMouse Pad\tSoftware/Other\n100155\tExternal 8X CD-ROM\tPeripherals and Accessories\n100132\tStandard Mouse\tPeripherals and Accessories\n100138\tStandard Mouse\tPeripherals and Accessories\n100126\tKeyboard Wrist Rest\tSoftware/Other\n100150\tExtension Cable\tElectronics\n100242\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100245\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100247\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100261\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100157\tMouse Pad\tSoftware/Other\n100158\tMouse Pad\tSoftware/Other\n100264\tMouse Pad\tSoftware/Other\n100232\tExternal 8X CD-ROM\tPeripherals and Accessories\n100254\tExternal 8X CD-ROM\tPeripherals and Accessories\n100244\tO/S Documentation Set - English\tSoftware/Other\n100251\tKeyboard Wrist Rest\tSoftware/Other\n100250\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100256\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100234\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100288\tExternal 8X CD-ROM\tPeripherals and Accessories\n100292\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tO/S Documentation Set - English\tSoftware/Other\n100287\tStandard Mouse\tPeripherals and Accessories\n100291\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100292\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100308\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100304\tMouse Pad\tSoftware/Other\n100326\tMouse Pad\tSoftware/Other\n100298\tO/S Documentation Set - English\tSoftware/Other\n100336\tO/S Documentation Set - English\tSoftware/Other\n100329\tStandard Mouse\tPeripherals and Accessories\n100332\tKeyboard Wrist Rest\tSoftware/Other\n100301\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100306\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100335\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100343\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100351\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100352\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100347\tMouse Pad\tSoftware/Other\n100356\tMouse Pad\tSoftware/Other\n100365\tExternal 8X CD-ROM\tPeripherals and Accessories\n100358\tStandard Mouse\tPeripherals and Accessories\n100366\tStandard Mouse\tPeripherals and Accessories\n100347\tExtension Cable\tElectronics\n100378\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100166\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100171\tMouse Pad\tSoftware/Other\n100181\tMouse Pad\tSoftware/Other\n100177\tExternal 8X CD-ROM\tPeripherals and Accessories\n100382\tStandard Mouse\tPeripherals and Accessories\n100163\tStandard Mouse\tPeripherals and Accessories\n100375\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100177\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100214\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100187\tExternal 8X CD-ROM\tPeripherals and Accessories\n100211\tExternal 8X CD-ROM\tPeripherals and Accessories\n100194\tStandard Mouse\tPeripherals and Accessories\n100201\tStandard Mouse\tPeripherals and Accessories\n100187\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100201\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100210\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100215\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100185\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100213\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100001\tY Box\tElectronics\n100010\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100018\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100019\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100225\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100218\tMouse Pad\tSoftware/Other\n100003\tMouse Pad\tSoftware/Other\n100218\tExternal 8X CD-ROM\tPeripherals and Accessories\n100225\tExternal 8X CD-ROM\tPeripherals and Accessories\n100226\tO/S Documentation Set - English\tSoftware/Other\n100009\tStandard Mouse\tPeripherals and Accessories\n100226\tKeyboard Wrist Rest\tSoftware/Other\n100002\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100220\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100003\tExtension Cable\tElectronics\n100016\tExtension Cable\tElectronics\n100052\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100057\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100049\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100061\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100062\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100027\tExternal 8X CD-ROM\tPeripherals and Accessories\n100033\tExternal 8X CD-ROM\tPeripherals and Accessories\n100035\tO/S Documentation Set - English\tSoftware/Other\n100027\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100029\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100048\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100060\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100055\tExtension Cable\tElectronics\n100535\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100069\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100078\tMouse Pad\tSoftware/Other\n100541\tMouse Pad\tSoftware/Other\n100534\tExternal 8X CD-ROM\tPeripherals and Accessories\n100538\tO/S Documentation Set - English\tSoftware/Other\n100088\tStandard Mouse\tPeripherals and Accessories\n100538\tStandard Mouse\tPeripherals and Accessories\n100544\tStandard Mouse\tPeripherals and Accessories\n100066\tKeyboard Wrist Rest\tSoftware/Other\n100076\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100536\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100074\tExtension Cable\tElectronics\n100080\tExtension Cable\tElectronics\n100562\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100563\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100550\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100561\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100546\tExternal 8X CD-ROM\tPeripherals and Accessories\n100548\tExternal 8X CD-ROM\tPeripherals and Accessories\n100586\tExternal 8X CD-ROM\tPeripherals and Accessories\n100574\tO/S Documentation Set - English\tSoftware/Other\n100553\tStandard Mouse\tPeripherals and Accessories\n100558\tStandard Mouse\tPeripherals and Accessories\n100565\tStandard Mouse\tPeripherals and Accessories\n100572\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100558\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100572\tExtension Cable\tElectronics\n100588\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100613\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100606\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100589\tExternal 8X CD-ROM\tPeripherals and Accessories\n100605\tStandard Mouse\tPeripherals and Accessories\n100614\tStandard Mouse\tPeripherals and Accessories\n100592\tKeyboard Wrist Rest\tSoftware/Other\n100612\tKeyboard Wrist Rest\tSoftware/Other\n100605\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tExtension Cable\tElectronics\n100614\tExtension Cable\tElectronics\n100638\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100648\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100624\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100632\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100639\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100629\tMouse Pad\tSoftware/Other\n100642\tExternal 8X CD-ROM\tPeripherals and Accessories\n100661\tExternal 8X CD-ROM\tPeripherals and Accessories\n100656\tStandard Mouse\tPeripherals and Accessories\n100626\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100835\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100663\tMouse Pad\tSoftware/Other\n100663\tExternal 8X CD-ROM\tPeripherals and Accessories\n100668\tExternal 8X CD-ROM\tPeripherals and Accessories\n100837\tExternal 8X CD-ROM\tPeripherals and Accessories\n100841\tExternal 8X CD-ROM\tPeripherals and Accessories\n100843\tExternal 8X CD-ROM\tPeripherals and Accessories\n100684\tO/S Documentation Set - English\tSoftware/Other\n100838\tO/S Documentation Set - English\tSoftware/Other\n100667\tKeyboard Wrist Rest\tSoftware/Other\n100840\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100671\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100854\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100867\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100856\tO/S Documentation Set - English\tSoftware/Other\n100870\tO/S Documentation Set - English\tSoftware/Other\n100879\tO/S Documentation Set - English\tSoftware/Other\n100858\tStandard Mouse\tPeripherals and Accessories\n100864\tStandard Mouse\tPeripherals and Accessories\n100847\tKeyboard Wrist Rest\tSoftware/Other\n100856\tKeyboard Wrist Rest\tSoftware/Other\n100862\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100849\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100851\tExtension Cable\tElectronics\n100856\tExtension Cable\tElectronics\n100858\tExtension Cable\tElectronics\n100865\tExtension Cable\tElectronics\n100873\tExtension Cable\tElectronics\n100874\tExtension Cable\tElectronics\n100879\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100912\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100882\tMouse Pad\tSoftware/Other\n100883\tMouse Pad\tSoftware/Other\n100887\tMouse Pad\tSoftware/Other\n100894\tMouse Pad\tSoftware/Other\n100910\tMouse Pad\tSoftware/Other\n100896\tO/S Documentation Set - English\tSoftware/Other\n100898\tO/S Documentation Set - English\tSoftware/Other\n100900\tO/S Documentation Set - English\tSoftware/Other\n100911\tO/S Documentation Set - English\tSoftware/Other\n100899\tStandard Mouse\tPeripherals and Accessories\n100904\tStandard Mouse\tPeripherals and Accessories\n100910\tStandard Mouse\tPeripherals and Accessories\n100902\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100885\tExtension Cable\tElectronics\n100909\tExtension Cable\tElectronics\n100918\tMouse Pad\tSoftware/Other\n100924\tExternal 8X CD-ROM\tPeripherals and Accessories\n100924\tStandard Mouse\tPeripherals and Accessories\n100939\tStandard Mouse\tPeripherals and Accessories\n100913\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100931\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100943\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100969\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100691\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100690\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100966\tMouse Pad\tSoftware/Other\n100684\tMouse Pad\tSoftware/Other\n100689\tExternal 8X CD-ROM\tPeripherals and Accessories\n100945\tO/S Documentation Set - English\tSoftware/Other\n100953\tO/S Documentation Set - English\tSoftware/Other\n100951\tStandard Mouse\tPeripherals and Accessories\n100688\tKeyboard Wrist Rest\tSoftware/Other\n100960\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100947\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tExtension Cable\tElectronics\n100695\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100703\tMouse Pad\tSoftware/Other\n100725\tMouse Pad\tSoftware/Other\n100711\tO/S Documentation Set - English\tSoftware/Other\n100707\tStandard Mouse\tPeripherals and Accessories\n100714\tStandard Mouse\tPeripherals and Accessories\n100697\tKeyboard Wrist Rest\tSoftware/Other\n100716\tKeyboard Wrist Rest\tSoftware/Other\n100705\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100706\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100730\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100749\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100750\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100760\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100761\tExternal 8X CD-ROM\tPeripherals and Accessories\n100738\tStandard Mouse\tPeripherals and Accessories\n100753\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100756\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100737\tExtension Cable\tElectronics\n100752\tExtension Cable\tElectronics\n100799\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100781\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100783\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100793\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100792\tMouse Pad\tSoftware/Other\n100768\tExternal 8X CD-ROM\tPeripherals and Accessories\n100771\tExternal 8X CD-ROM\tPeripherals and Accessories\n100769\tO/S Documentation Set - English\tSoftware/Other\n100792\tStandard Mouse\tPeripherals and Accessories\n100788\tKeyboard Wrist Rest\tSoftware/Other\n100800\tKeyboard Wrist Rest\tSoftware/Other\n100793\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100796\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100792\tExtension Cable\tElectronics\n100826\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100818\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100819\tExternal 8X CD-ROM\tPeripherals and Accessories\n100805\tO/S Documentation Set - English\tSoftware/Other\n100810\tO/S Documentation Set - English\tSoftware/Other\n100819\tStandard Mouse\tPeripherals and Accessories\n"}]},"jobName":"paragraph_1580935510718_1936749239","id":"20200205-204510_236075433","dateCreated":"2019-07-24T14:17:42+0000","dateStarted":"2020-02-07T20:26:11+0000","dateFinished":"2020-02-07T20:26:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Check the distribution of PROD_CATEGORY from SALES_TRANS_CUST view ","text":"%sql\n\n-- Click on the bar chart icon and expand settings. Draft PROD_CATEGORY to Keys, \n-- and CUST_ID to Values and select Count. There are no groups.\n\nSELECT * FROM SALES_TRANS_CUST;","user":"MARK","dateUpdated":"2020-02-07T20:26:54+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":254,"optionOpen":false,"setting":{"pieChart":{},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"PROD_CATEGORY","index":2,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROD_NAME\tPROD_CATEGORY\n100091\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100113\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100114\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100096\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100096\tMouse Pad\tSoftware/Other\n100100\tExternal 8X CD-ROM\tPeripherals and Accessories\n100099\tO/S Documentation Set - English\tSoftware/Other\n100099\tStandard Mouse\tPeripherals and Accessories\n100105\tStandard Mouse\tPeripherals and Accessories\n100096\tKeyboard Wrist Rest\tSoftware/Other\n100097\tKeyboard Wrist Rest\tSoftware/Other\n100112\tExtension Cable\tElectronics\n100122\tExtension Cable\tElectronics\n100138\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100144\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100156\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100132\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100124\tMouse Pad\tSoftware/Other\n100125\tMouse Pad\tSoftware/Other\n100128\tExternal 8X CD-ROM\tPeripherals and Accessories\n100147\tExternal 8X CD-ROM\tPeripherals and Accessories\n100125\tStandard Mouse\tPeripherals and Accessories\n100133\tKeyboard Wrist Rest\tSoftware/Other\n100155\tKeyboard Wrist Rest\tSoftware/Other\n100124\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100128\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100151\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100125\tExtension Cable\tElectronics\n100131\tExtension Cable\tElectronics\n100139\tExtension Cable\tElectronics\n100154\tExtension Cable\tElectronics\n100232\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tMouse Pad\tSoftware/Other\n100262\tMouse Pad\tSoftware/Other\n100242\tExternal 8X CD-ROM\tPeripherals and Accessories\n100156\tO/S Documentation Set - English\tSoftware/Other\n100245\tO/S Documentation Set - English\tSoftware/Other\n100263\tO/S Documentation Set - English\tSoftware/Other\n100160\tStandard Mouse\tPeripherals and Accessories\n100264\tStandard Mouse\tPeripherals and Accessories\n100232\tKeyboard Wrist Rest\tSoftware/Other\n100234\tKeyboard Wrist Rest\tSoftware/Other\n100235\tKeyboard Wrist Rest\tSoftware/Other\n100230\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100231\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100158\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100240\tExtension Cable\tElectronics\n100268\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100292\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100274\tMouse Pad\tSoftware/Other\n100279\tMouse Pad\tSoftware/Other\n100268\tExternal 8X CD-ROM\tPeripherals and Accessories\n100290\tKeyboard Wrist Rest\tSoftware/Other\n100271\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100273\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100286\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100288\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100282\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100269\tExtension Cable\tElectronics\n100276\tExtension Cable\tElectronics\n100300\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100317\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100318\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100300\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100301\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100302\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100319\tMouse Pad\tSoftware/Other\n100317\tO/S Documentation Set - English\tSoftware/Other\n100328\tStandard Mouse\tPeripherals and Accessories\n100336\tKeyboard Wrist Rest\tSoftware/Other\n100326\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100331\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100308\tExtension Cable\tElectronics\n100319\tExtension Cable\tElectronics\n100367\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100359\tMouse Pad\tSoftware/Other\n100361\tMouse Pad\tSoftware/Other\n100369\tExternal 8X CD-ROM\tPeripherals and Accessories\n100356\tO/S Documentation Set - English\tSoftware/Other\n100357\tO/S Documentation Set - English\tSoftware/Other\n100342\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100343\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100351\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100358\tExtension Cable\tElectronics\n100368\tExtension Cable\tElectronics\n100375\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100384\tStandard Mouse\tPeripherals and Accessories\n100168\tStandard Mouse\tPeripherals and Accessories\n100180\tKeyboard Wrist Rest\tSoftware/Other\n100163\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100163\tExtension Cable\tElectronics\n100175\tExtension Cable\tElectronics\n100181\tExtension Cable\tElectronics\n100184\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100190\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100214\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100185\tMouse Pad\tSoftware/Other\n100202\tMouse Pad\tSoftware/Other\n100204\tMouse Pad\tSoftware/Other\n100198\tExternal 8X CD-ROM\tPeripherals and Accessories\n100209\tExternal 8X CD-ROM\tPeripherals and Accessories\n100196\tStandard Mouse\tPeripherals and Accessories\n100204\tStandard Mouse\tPeripherals and Accessories\n100185\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100189\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100205\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100207\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100203\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100212\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100214\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100215\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100191\tExtension Cable\tElectronics\n100205\tExtension Cable\tElectronics\n100013\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100021\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100224\tStandard Mouse\tPeripherals and Accessories\n100218\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100222\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100219\tExtension Cable\tElectronics\n100059\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100044\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100024\tMouse Pad\tSoftware/Other\n100058\tMouse Pad\tSoftware/Other\n100031\tExternal 8X CD-ROM\tPeripherals and Accessories\n100059\tExternal 8X CD-ROM\tPeripherals and Accessories\n100041\tO/S Documentation Set - English\tSoftware/Other\n100053\tO/S Documentation Set - English\tSoftware/Other\n100054\tStandard Mouse\tPeripherals and Accessories\n100039\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100059\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100025\tExtension Cable\tElectronics\n100052\tExtension Cable\tElectronics\n100071\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100071\tExternal 8X CD-ROM\tPeripherals and Accessories\n100074\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100538\tExtension Cable\tElectronics\n100586\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100560\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100584\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100547\tMouse Pad\tSoftware/Other\n100547\tExternal 8X CD-ROM\tPeripherals and Accessories\n100551\tStandard Mouse\tPeripherals and Accessories\n100555\tStandard Mouse\tPeripherals and Accessories\n100573\tStandard Mouse\tPeripherals and Accessories\n100584\tKeyboard Wrist Rest\tSoftware/Other\n100553\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100563\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100584\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100586\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100576\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100565\tExtension Cable\tElectronics\n100614\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100620\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100617\tMouse Pad\tSoftware/Other\n100587\tStandard Mouse\tPeripherals and Accessories\n100598\tStandard Mouse\tPeripherals and Accessories\n100607\tStandard Mouse\tPeripherals and Accessories\n100620\tStandard Mouse\tPeripherals and Accessories\n100590\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100617\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100601\tExtension Cable\tElectronics\n100607\tExtension Cable\tElectronics\n100617\tExtension Cable\tElectronics\n100624\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100636\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tMouse Pad\tSoftware/Other\n100645\tMouse Pad\tSoftware/Other\n100638\tExternal 8X CD-ROM\tPeripherals and Accessories\n100632\tO/S Documentation Set - English\tSoftware/Other\n100642\tStandard Mouse\tPeripherals and Accessories\n100649\tStandard Mouse\tPeripherals and Accessories\n100642\tKeyboard Wrist Rest\tSoftware/Other\n100631\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100633\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100640\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100664\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100679\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100681\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100672\tMouse Pad\tSoftware/Other\n100675\tExternal 8X CD-ROM\tPeripherals and Accessories\n100662\tO/S Documentation Set - English\tSoftware/Other\n100669\tO/S Documentation Set - English\tSoftware/Other\n100837\tO/S Documentation Set - English\tSoftware/Other\n100840\tStandard Mouse\tPeripherals and Accessories\n100665\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100842\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100679\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100682\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100840\tExtension Cable\tElectronics\n100872\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100874\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100845\tMouse Pad\tSoftware/Other\n100848\tMouse Pad\tSoftware/Other\n100852\tMouse Pad\tSoftware/Other\n100860\tMouse Pad\tSoftware/Other\n100864\tMouse Pad\tSoftware/Other\n100878\tMouse Pad\tSoftware/Other\n100847\tExternal 8X CD-ROM\tPeripherals and Accessories\n100866\tExternal 8X CD-ROM\tPeripherals and Accessories\n100857\tO/S Documentation Set - English\tSoftware/Other\n100856\tStandard Mouse\tPeripherals and Accessories\n100845\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100871\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100858\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100894\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100905\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100881\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100891\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100894\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100880\tMouse Pad\tSoftware/Other\n100896\tExternal 8X CD-ROM\tPeripherals and Accessories\n100885\tStandard Mouse\tPeripherals and Accessories\n100882\tKeyboard Wrist Rest\tSoftware/Other\n100900\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100909\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100880\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100899\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100911\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100880\tExtension Cable\tElectronics\n100894\tExtension Cable\tElectronics\n100929\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100931\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100918\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100929\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100934\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100924\tMouse Pad\tSoftware/Other\n100934\tStandard Mouse\tPeripherals and Accessories\n100944\tStandard Mouse\tPeripherals and Accessories\n100915\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100939\tExtension Cable\tElectronics\n100962\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100692\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100949\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMouse Pad\tSoftware/Other\n100686\tMouse Pad\tSoftware/Other\n100959\tExternal 8X CD-ROM\tPeripherals and Accessories\n100958\tO/S Documentation Set - English\tSoftware/Other\n100945\tStandard Mouse\tPeripherals and Accessories\n100948\tStandard Mouse\tPeripherals and Accessories\n100691\tStandard Mouse\tPeripherals and Accessories\n100955\tKeyboard Wrist Rest\tSoftware/Other\n100945\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100965\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100692\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100946\tExtension Cable\tElectronics\n100950\tExtension Cable\tElectronics\n100959\tExtension Cable\tElectronics\n100728\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100727\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tStandard Mouse\tPeripherals and Accessories\n100721\tStandard Mouse\tPeripherals and Accessories\n100701\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100693\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100710\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100712\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100699\tExtension Cable\tElectronics\n100719\tExtension Cable\tElectronics\n100744\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100751\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100743\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100738\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100736\tMouse Pad\tSoftware/Other\n100753\tMouse Pad\tSoftware/Other\n100740\tExternal 8X CD-ROM\tPeripherals and Accessories\n100742\tO/S Documentation Set - English\tSoftware/Other\n100733\tStandard Mouse\tPeripherals and Accessories\n100741\tStandard Mouse\tPeripherals and Accessories\n100752\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100736\tExtension Cable\tElectronics\n100741\tExtension Cable\tElectronics\n100760\tExtension Cable\tElectronics\n100784\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100776\tMouse Pad\tSoftware/Other\n100781\tExternal 8X CD-ROM\tPeripherals and Accessories\n100782\tExternal 8X CD-ROM\tPeripherals and Accessories\n100764\tO/S Documentation Set - English\tSoftware/Other\n100787\tStandard Mouse\tPeripherals and Accessories\n100785\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100778\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100789\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100795\tExtension Cable\tElectronics\n100809\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100813\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100828\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100833\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100386\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100830\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100808\tMouse Pad\tSoftware/Other\n100827\tExternal 8X CD-ROM\tPeripherals and Accessories\n100820\tStandard Mouse\tPeripherals and Accessories\n100812\tExtension Cable\tElectronics\n100822\tExtension Cable\tElectronics\n100823\tExtension Cable\tElectronics\n100835\tExtension Cable\tElectronics\n100399\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100417\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100411\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100404\tMouse Pad\tSoftware/Other\n100420\tMouse Pad\tSoftware/Other\n100408\tExternal 8X CD-ROM\tPeripherals and Accessories\n100410\tExternal 8X CD-ROM\tPeripherals and Accessories\n100392\tO/S Documentation Set - English\tSoftware/Other\n100406\tStandard Mouse\tPeripherals and Accessories\n100388\tKeyboard Wrist Rest\tSoftware/Other\n100388\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100398\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100415\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100395\tExtension Cable\tElectronics\n100423\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100438\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100439\tMouse Pad\tSoftware/Other\n100441\tStandard Mouse\tPeripherals and Accessories\n100438\tKeyboard Wrist Rest\tSoftware/Other\n100451\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100429\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100435\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100438\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100441\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100476\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100484\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100475\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100487\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100463\tMouse Pad\tSoftware/Other\n100478\tO/S Documentation Set - English\tSoftware/Other\n100458\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100474\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100463\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100474\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tExtension Cable\tElectronics\n100511\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100524\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100527\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100500\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100511\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100493\tMouse Pad\tSoftware/Other\n100504\tMouse Pad\tSoftware/Other\n100520\tExternal 8X CD-ROM\tPeripherals and Accessories\n100505\tO/S Documentation Set - English\tSoftware/Other\n100519\tO/S Documentation Set - English\tSoftware/Other\n100527\tO/S Documentation Set - English\tSoftware/Other\n100494\tStandard Mouse\tPeripherals and Accessories\n100509\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100519\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100521\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100510\tExtension Cable\tElectronics\n100530\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100989\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100982\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100978\tExternal 8X CD-ROM\tPeripherals and Accessories\n100989\tStandard Mouse\tPeripherals and Accessories\n100976\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100989\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100093\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100118\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100122\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100093\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100099\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100109\tMouse Pad\tSoftware/Other\n100090\tExternal 8X CD-ROM\tPeripherals and Accessories\n100094\tO/S Documentation Set - English\tSoftware/Other\n100120\tKeyboard Wrist Rest\tSoftware/Other\n100107\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100123\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100113\tExtension Cable\tElectronics\n100115\tExtension Cable\tElectronics\n100127\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100150\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100129\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100139\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100134\tMouse Pad\tSoftware/Other\n100141\tMouse Pad\tSoftware/Other\n100149\tExternal 8X CD-ROM\tPeripherals and Accessories\n100130\tO/S Documentation Set - English\tSoftware/Other\n100139\tStandard Mouse\tPeripherals and Accessories\n100154\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100141\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100147\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100137\tExtension Cable\tElectronics\n100232\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100245\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100259\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100242\tMouse Pad\tSoftware/Other\n100246\tMouse Pad\tSoftware/Other\n100253\tMouse Pad\tSoftware/Other\n100239\tExternal 8X CD-ROM\tPeripherals and Accessories\n100258\tExternal 8X CD-ROM\tPeripherals and Accessories\n100261\tExternal 8X CD-ROM\tPeripherals and Accessories\n100259\tStandard Mouse\tPeripherals and Accessories\n100258\tKeyboard Wrist Rest\tSoftware/Other\n100259\tKeyboard Wrist Rest\tSoftware/Other\n100232\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100249\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100233\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100158\tExtension Cable\tElectronics\n100246\tExtension Cable\tElectronics\n100264\tExtension Cable\tElectronics\n100296\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100267\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100289\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100294\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100282\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100289\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100281\tMouse Pad\tSoftware/Other\n100281\tExternal 8X CD-ROM\tPeripherals and Accessories\n100282\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tExternal 8X CD-ROM\tPeripherals and Accessories\n100267\tStandard Mouse\tPeripherals and Accessories\n100268\tStandard Mouse\tPeripherals and Accessories\n100288\tKeyboard Wrist Rest\tSoftware/Other\n100293\tKeyboard Wrist Rest\tSoftware/Other\n100277\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100279\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100285\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tExtension Cable\tElectronics\n100336\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100323\tMouse Pad\tSoftware/Other\n100336\tMouse Pad\tSoftware/Other\n100305\tExternal 8X CD-ROM\tPeripherals and Accessories\n100333\tExternal 8X CD-ROM\tPeripherals and Accessories\n100323\tStandard Mouse\tPeripherals and Accessories\n100320\tKeyboard Wrist Rest\tSoftware/Other\n100322\tKeyboard Wrist Rest\tSoftware/Other\n100348\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100364\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100337\tMouse Pad\tSoftware/Other\n100365\tMouse Pad\tSoftware/Other\n100343\tStandard Mouse\tPeripherals and Accessories\n100347\tStandard Mouse\tPeripherals and Accessories\n100359\tStandard Mouse\tPeripherals and Accessories\n100342\tKeyboard Wrist Rest\tSoftware/Other\n100370\tKeyboard Wrist Rest\tSoftware/Other\n100346\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100355\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100362\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100356\tExtension Cable\tElectronics\n100169\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100175\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100374\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100170\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tMouse Pad\tSoftware/Other\n100163\tMouse Pad\tSoftware/Other\n100383\tExternal 8X CD-ROM\tPeripherals and Accessories\n100178\tExternal 8X CD-ROM\tPeripherals and Accessories\n100161\tO/S Documentation Set - English\tSoftware/Other\n100176\tStandard Mouse\tPeripherals and Accessories\n100180\tStandard Mouse\tPeripherals and Accessories\n100181\tStandard Mouse\tPeripherals and Accessories\n100170\tExtension Cable\tElectronics\n100180\tExtension Cable\tElectronics\n100196\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100208\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100189\tMouse Pad\tSoftware/Other\n100199\tExternal 8X CD-ROM\tPeripherals and Accessories\n100189\tStandard Mouse\tPeripherals and Accessories\n100190\tStandard Mouse\tPeripherals and Accessories\n100200\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100204\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100194\tExtension Cable\tElectronics\n100199\tExtension Cable\tElectronics\n100203\tExtension Cable\tElectronics\n100224\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100009\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100011\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100017\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100220\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100014\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100004\tExternal 8X CD-ROM\tPeripherals and Accessories\n100011\tExternal 8X CD-ROM\tPeripherals and Accessories\n100003\tStandard Mouse\tPeripherals and Accessories\n100016\tStandard Mouse\tPeripherals and Accessories\n100001\tKeyboard Wrist Rest\tSoftware/Other\n100226\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100008\tExtension Cable\tElectronics\n100024\tExtension Cable\tElectronics\n100043\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100042\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100066\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100054\tMouse Pad\tSoftware/Other\n100026\tStandard Mouse\tPeripherals and Accessories\n100031\tStandard Mouse\tPeripherals and Accessories\n100051\tStandard Mouse\tPeripherals and Accessories\n100064\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100026\tExtension Cable\tElectronics\n100066\tExtension Cable\tElectronics\n100075\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100083\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100533\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100074\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100532\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100544\tMouse Pad\tSoftware/Other\n100535\tExternal 8X CD-ROM\tPeripherals and Accessories\n100532\tStandard Mouse\tPeripherals and Accessories\n100069\tKeyboard Wrist Rest\tSoftware/Other\n100576\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100565\tMouse Pad\tSoftware/Other\n100568\tMouse Pad\tSoftware/Other\n100564\tExternal 8X CD-ROM\tPeripherals and Accessories\n100585\tExternal 8X CD-ROM\tPeripherals and Accessories\n100552\tO/S Documentation Set - English\tSoftware/Other\n100586\tKeyboard Wrist Rest\tSoftware/Other\n100556\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100569\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100609\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100620\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100617\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100622\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100620\tMouse Pad\tSoftware/Other\n100597\tO/S Documentation Set - English\tSoftware/Other\n100594\tStandard Mouse\tPeripherals and Accessories\n100614\tKeyboard Wrist Rest\tSoftware/Other\n100620\tKeyboard Wrist Rest\tSoftware/Other\n100587\tExtension Cable\tElectronics\n100620\tExtension Cable\tElectronics\n100629\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100655\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100640\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100645\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100656\tMouse Pad\tSoftware/Other\n100626\tExternal 8X CD-ROM\tPeripherals and Accessories\n100627\tExternal 8X CD-ROM\tPeripherals and Accessories\n100643\tExternal 8X CD-ROM\tPeripherals and Accessories\n100651\tExternal 8X CD-ROM\tPeripherals and Accessories\n100660\tExternal 8X CD-ROM\tPeripherals and Accessories\n100650\tO/S Documentation Set - English\tSoftware/Other\n100651\tO/S Documentation Set - English\tSoftware/Other\n100645\tStandard Mouse\tPeripherals and Accessories\n100629\tKeyboard Wrist Rest\tSoftware/Other\n100639\tKeyboard Wrist Rest\tSoftware/Other\n100660\tKeyboard Wrist Rest\tSoftware/Other\n100639\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100644\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100624\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100625\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100634\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100665\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100671\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100676\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100684\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100664\tO/S Documentation Set - English\tSoftware/Other\n100676\tO/S Documentation Set - English\tSoftware/Other\n100842\tO/S Documentation Set - English\tSoftware/Other\n100677\tKeyboard Wrist Rest\tSoftware/Other\n100670\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100684\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100667\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100672\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100873\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100853\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100862\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100857\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100874\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100871\tExternal 8X CD-ROM\tPeripherals and Accessories\n100878\tKeyboard Wrist Rest\tSoftware/Other\n100883\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100911\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100880\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100888\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100910\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100911\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100890\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100904\tExternal 8X CD-ROM\tPeripherals and Accessories\n100906\tExternal 8X CD-ROM\tPeripherals and Accessories\n100883\tStandard Mouse\tPeripherals and Accessories\n100900\tStandard Mouse\tPeripherals and Accessories\n100912\tStandard Mouse\tPeripherals and Accessories\n100889\tKeyboard Wrist Rest\tSoftware/Other\n100885\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100896\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100899\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100891\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100892\tExtension Cable\tElectronics\n100893\tExtension Cable\tElectronics\n100912\tExtension Cable\tElectronics\n100913\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100930\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100931\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100933\tMouse Pad\tSoftware/Other\n100937\tMouse Pad\tSoftware/Other\n100930\tExternal 8X CD-ROM\tPeripherals and Accessories\n100923\tStandard Mouse\tPeripherals and Accessories\n100929\tKeyboard Wrist Rest\tSoftware/Other\n100922\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100928\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100918\tExtension Cable\tElectronics\n100933\tExtension Cable\tElectronics\n100970\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100951\tMouse Pad\tSoftware/Other\n100948\tExternal 8X CD-ROM\tPeripherals and Accessories\n100951\tO/S Documentation Set - English\tSoftware/Other\n100954\tStandard Mouse\tPeripherals and Accessories\n100960\tStandard Mouse\tPeripherals and Accessories\n100963\tStandard Mouse\tPeripherals and Accessories\n100690\tStandard Mouse\tPeripherals and Accessories\n100963\tKeyboard Wrist Rest\tSoftware/Other\n100710\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100729\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100699\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100700\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100721\tMouse Pad\tSoftware/Other\n100695\tExternal 8X CD-ROM\tPeripherals and Accessories\n100715\tExternal 8X CD-ROM\tPeripherals and Accessories\n100728\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tO/S Documentation Set - English\tSoftware/Other\n100694\tStandard Mouse\tPeripherals and Accessories\n100727\tStandard Mouse\tPeripherals and Accessories\n100709\tKeyboard Wrist Rest\tSoftware/Other\n100708\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100729\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100720\tExtension Cable\tElectronics\n100754\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100751\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100754\tMouse Pad\tSoftware/Other\n100748\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100762\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100755\tExtension Cable\tElectronics\n100763\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100770\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100779\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100782\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100769\tExternal 8X CD-ROM\tPeripherals and Accessories\n100793\tExternal 8X CD-ROM\tPeripherals and Accessories\n100796\tO/S Documentation Set - English\tSoftware/Other\n100796\tKeyboard Wrist Rest\tSoftware/Other\n100790\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100795\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100781\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100780\tExtension Cable\tElectronics\n100790\tExtension Cable\tElectronics\n100817\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100830\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100387\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100810\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100827\tMouse Pad\tSoftware/Other\n100830\tMouse Pad\tSoftware/Other\n100828\tExternal 8X CD-ROM\tPeripherals and Accessories\n100823\tStandard Mouse\tPeripherals and Accessories\n100820\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100830\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100809\tExtension Cable\tElectronics\n100394\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100403\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100402\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100417\tO/S Documentation Set - English\tSoftware/Other\n100390\tStandard Mouse\tPeripherals and Accessories\n100393\tStandard Mouse\tPeripherals and Accessories\n100394\tStandard Mouse\tPeripherals and Accessories\n100405\tStandard Mouse\tPeripherals and Accessories\n100413\tKeyboard Wrist Rest\tSoftware/Other\n100442\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100444\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100432\tMouse Pad\tSoftware/Other\n100443\tMouse Pad\tSoftware/Other\n100456\tMouse Pad\tSoftware/Other\n100428\tExternal 8X CD-ROM\tPeripherals and Accessories\n100442\tExternal 8X CD-ROM\tPeripherals and Accessories\n100452\tO/S Documentation Set - English\tSoftware/Other\n100443\tStandard Mouse\tPeripherals and Accessories\n100433\tKeyboard Wrist Rest\tSoftware/Other\n100450\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100453\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100437\tExtension Cable\tElectronics\n100440\tExtension Cable\tElectronics\n100448\tExtension Cable\tElectronics\n100456\tExtension Cable\tElectronics\n100480\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100473\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100490\tMouse Pad\tSoftware/Other\n100460\tExternal 8X CD-ROM\tPeripherals and Accessories\n100472\tExternal 8X CD-ROM\tPeripherals and Accessories\n100465\tKeyboard Wrist Rest\tSoftware/Other\n100477\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100486\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100487\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100459\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100469\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100482\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100484\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100465\tExtension Cable\tElectronics\n100475\tExtension Cable\tElectronics\n100490\tExtension Cable\tElectronics\n100497\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100505\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100512\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100514\tMouse Pad\tSoftware/Other\n100502\tExternal 8X CD-ROM\tPeripherals and Accessories\n100509\tExternal 8X CD-ROM\tPeripherals and Accessories\n100512\tExternal 8X CD-ROM\tPeripherals and Accessories\n100515\tExternal 8X CD-ROM\tPeripherals and Accessories\n100523\tExternal 8X CD-ROM\tPeripherals and Accessories\n100510\tO/S Documentation Set - English\tSoftware/Other\n100493\tStandard Mouse\tPeripherals and Accessories\n100510\tKeyboard Wrist Rest\tSoftware/Other\n100522\tKeyboard Wrist Rest\tSoftware/Other\n100982\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100988\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100530\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100980\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100985\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100991\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100993\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100995\tMouse Pad\tSoftware/Other\n100988\tExternal 8X CD-ROM\tPeripherals and Accessories\n100530\tO/S Documentation Set - English\tSoftware/Other\n100970\tO/S Documentation Set - English\tSoftware/Other\n100998\tO/S Documentation Set - English\tSoftware/Other\n100981\tStandard Mouse\tPeripherals and Accessories\n101000\tKeyboard Wrist Rest\tSoftware/Other\n100530\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100978\tExtension Cable\tElectronics\n100990\tExtension Cable\tElectronics\n100105\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100109\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100091\tMouse Pad\tSoftware/Other\n100113\tMouse Pad\tSoftware/Other\n100120\tExternal 8X CD-ROM\tPeripherals and Accessories\n100109\tStandard Mouse\tPeripherals and Accessories\n100108\tKeyboard Wrist Rest\tSoftware/Other\n100121\tKeyboard Wrist Rest\tSoftware/Other\n100097\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100101\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100113\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100108\tExtension Cable\tElectronics\n100131\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100137\tMouse Pad\tSoftware/Other\n100147\tMouse Pad\tSoftware/Other\n100150\tMouse Pad\tSoftware/Other\n100155\tExternal 8X CD-ROM\tPeripherals and Accessories\n100132\tStandard Mouse\tPeripherals and Accessories\n100138\tStandard Mouse\tPeripherals and Accessories\n100126\tKeyboard Wrist Rest\tSoftware/Other\n100150\tExtension Cable\tElectronics\n100242\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100245\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100247\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100261\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100157\tMouse Pad\tSoftware/Other\n100158\tMouse Pad\tSoftware/Other\n100264\tMouse Pad\tSoftware/Other\n100232\tExternal 8X CD-ROM\tPeripherals and Accessories\n100254\tExternal 8X CD-ROM\tPeripherals and Accessories\n100244\tO/S Documentation Set - English\tSoftware/Other\n100251\tKeyboard Wrist Rest\tSoftware/Other\n100250\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100256\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100234\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100288\tExternal 8X CD-ROM\tPeripherals and Accessories\n100292\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tO/S Documentation Set - English\tSoftware/Other\n100287\tStandard Mouse\tPeripherals and Accessories\n100291\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100292\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100308\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100304\tMouse Pad\tSoftware/Other\n100326\tMouse Pad\tSoftware/Other\n100298\tO/S Documentation Set - English\tSoftware/Other\n100336\tO/S Documentation Set - English\tSoftware/Other\n100329\tStandard Mouse\tPeripherals and Accessories\n100332\tKeyboard Wrist Rest\tSoftware/Other\n100301\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100306\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100335\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100343\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100351\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100352\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100347\tMouse Pad\tSoftware/Other\n100356\tMouse Pad\tSoftware/Other\n100365\tExternal 8X CD-ROM\tPeripherals and Accessories\n100358\tStandard Mouse\tPeripherals and Accessories\n100366\tStandard Mouse\tPeripherals and Accessories\n100347\tExtension Cable\tElectronics\n100378\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100166\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100171\tMouse Pad\tSoftware/Other\n100181\tMouse Pad\tSoftware/Other\n100177\tExternal 8X CD-ROM\tPeripherals and Accessories\n100382\tStandard Mouse\tPeripherals and Accessories\n100163\tStandard Mouse\tPeripherals and Accessories\n100375\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100177\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100214\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100187\tExternal 8X CD-ROM\tPeripherals and Accessories\n100211\tExternal 8X CD-ROM\tPeripherals and Accessories\n100194\tStandard Mouse\tPeripherals and Accessories\n100201\tStandard Mouse\tPeripherals and Accessories\n100187\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100201\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100210\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100215\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100185\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100213\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100001\tY Box\tElectronics\n100010\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100018\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100019\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100225\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100218\tMouse Pad\tSoftware/Other\n100003\tMouse Pad\tSoftware/Other\n100218\tExternal 8X CD-ROM\tPeripherals and Accessories\n100225\tExternal 8X CD-ROM\tPeripherals and Accessories\n100226\tO/S Documentation Set - English\tSoftware/Other\n100009\tStandard Mouse\tPeripherals and Accessories\n100226\tKeyboard Wrist Rest\tSoftware/Other\n100002\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100220\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100003\tExtension Cable\tElectronics\n100016\tExtension Cable\tElectronics\n100052\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100057\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100049\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100061\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100062\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100027\tExternal 8X CD-ROM\tPeripherals and Accessories\n100033\tExternal 8X CD-ROM\tPeripherals and Accessories\n100035\tO/S Documentation Set - English\tSoftware/Other\n100027\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100029\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100048\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100060\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100055\tExtension Cable\tElectronics\n100535\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100069\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100078\tMouse Pad\tSoftware/Other\n100541\tMouse Pad\tSoftware/Other\n100534\tExternal 8X CD-ROM\tPeripherals and Accessories\n100538\tO/S Documentation Set - English\tSoftware/Other\n100088\tStandard Mouse\tPeripherals and Accessories\n100538\tStandard Mouse\tPeripherals and Accessories\n100544\tStandard Mouse\tPeripherals and Accessories\n100066\tKeyboard 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High Speed Pack of 5\tSoftware/Other\n100931\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100943\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100969\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100691\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100690\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100966\tMouse Pad\tSoftware/Other\n100684\tMouse Pad\tSoftware/Other\n100689\tExternal 8X CD-ROM\tPeripherals and Accessories\n100945\tO/S Documentation Set - English\tSoftware/Other\n100953\tO/S Documentation Set - English\tSoftware/Other\n100951\tStandard Mouse\tPeripherals and Accessories\n100688\tKeyboard Wrist Rest\tSoftware/Other\n100960\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100947\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tExtension Cable\tElectronics\n100695\t18\" Flat Panel Graphics Monitor\tPeripherals and 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:= 'ON';\n V_setlst('ASSO_MIN_SUPPORT') := '0.04';\n V_setlst('ASSO_MIN_CONFIDENCE') := '0.1';\n V_setlst('ASSO_MAX_RULE_LENGTH'):= '2';\n V_setlst('ODMS_ITEM_ID_COLUMN_NAME'):= 'PROD_NAME';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'AR_SH_SAMPLE',\n MINING_FUNCTION => 'ASSOCIATION',\n DATA_QUERY => 'select * from SALES_TRANS_CUST',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID');\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:26:19+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":178.9,"optionOpen":false}}},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure 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SETTING_NAME;","user":"MARK","dateUpdated":"2020-02-07T20:26:21+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"SETTING_NAME","index":0,"aggr":"sum"}],"values":[{"name":"SETTING_VALUE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SETTING_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"SETTING_NAME","index":0,"aggr":"sum"}},"groups":[],"height":104},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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top 10 most frequent items purchased","text":"%sql \n\nSELECT ITEM, SUPPORT, NUMBER_OF_ITEMS \n FROM (SELECT I.ATTRIBUTE_SUBNAME AS ITEM,\n F.SUPPORT,\n F.NUMBER_OF_ITEMS\n FROM TABLE(DBMS_DATA_MINING.GET_FREQUENT_ITEMSETS('AR_SH_SAMPLE',10)) F,\n TABLE(F.ITEMS) I\n ORDER BY NUMBER_OF_ITEMS, SUPPORT DESC, ITEM);","user":"MARK","dateUpdated":"2020-02-07T20:26:21+0000","config":{"colWidth":6,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"ITEM":"string","SUPPORT":"string","NUMBER_OF_ITEMS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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Speed Pack of 5\t0.29255319148936171\t1\nModel SM26273 Black Ink Cartridge\t0.21702127659574469\t1\nMultimedia speakers- 3\" cones\t0.19574468085106383\t1\nO/S Documentation Set - English\t0.19468085106382979\t1\n"}]},"jobName":"paragraph_1580935510718_472873716","id":"20200205-204510_1389689135","dateCreated":"2018-02-05T23:07:52+0000","dateStarted":"2020-02-07T20:26:22+0000","dateFinished":"2020-02-07T20:26:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Display pie chart of top 10 most frequent items purchased","text":"%sql \n\nSELECT ITEM, SUPPORT, NUMBER_OF_ITEMS \n FROM (SELECT I.ATTRIBUTE_SUBNAME AS ITEM,\n F.SUPPORT,\n F.NUMBER_OF_ITEMS\n FROM TABLE(DBMS_DATA_MINING.GET_FREQUENT_ITEMSETS('AR_SH_SAMPLE',10)) F,\n TABLE(F.ITEMS) I\n ORDER BY NUMBER_OF_ITEMS, SUPPORT DESC, ITEM);","user":"MARK","dateUpdated":"2020-02-07T20:26:54+0000","config":{"colWidth":12,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"multiBarChart","height":345.2,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"rotate"}},"commonSetting":{},"keys":[{"name":"ITEM","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"SUPPORT","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ITEM\tSUPPORT\tNUMBER_OF_ITEMS\nMouse Pad\t0.32234042553191489\t1\nStandard Mouse\t0.32127659574468087\t1\nSIMM- 16MB PCMCIAII card\t0.31808510638297871\t1\nExtension Cable\t0.31170212765957445\t1\n18\" Flat Panel Graphics Monitor\t0.31063829787234043\t1\nExternal 8X CD-ROM\t0.30531914893617024\t1\nCD-RW, High Speed Pack of 5\t0.29255319148936171\t1\nModel SM26273 Black Ink Cartridge\t0.21702127659574469\t1\nMultimedia speakers- 3\" cones\t0.19574468085106383\t1\nO/S Documentation Set - English\t0.19468085106382979\t1\n"}]},"jobName":"paragraph_1580935510718_-1435640269","id":"20200205-204510_211071108","dateCreated":"2019-08-12T18:38:54+0000","dateStarted":"2020-02-07T20:26:23+0000","dateFinished":"2020-02-07T20:26:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Display top 10 Association Rules sorted by confidence and support","text":"%sql \n\nSELECT RULE_ID,\n A.ATTRIBUTE_SUBNAME ANTECEDENT,\n C.ATTRIBUTE_SUBNAME CONSEQUENT,\n RULE_SUPPORT SUPP,\n RULE_CONFIDENCE CONF,\n ROW_NUMBER() OVER (PARTITION BY RULE_ID ORDER BY A.ATTRIBUTE_SUBNAME) RULE_ELEMENT\n FROM TABLE(DBMS_DATA_MINING.GET_ASSOCIATION_RULES('AR_SH_SAMPLE', 10)) T,\n TABLE(T.CONSEQUENT) C,\n TABLE(T.ANTECEDENT) A\n ORDER BY CONF DESC, SUPP DESC, RULE_ELEMENT;","user":"MARK","dateUpdated":"2020-02-07T20:26:23+0000","config":{"colWidth":12,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","RULE_ELEMENT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RULE_ID\tANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tRULE_ELEMENT\n54\tExtension Cable\tStandard Mouse\t0.18085106382978725\t0.58020477815699656\t1\n91\tStandard Mouse\tMouse Pad\t0.18404255319148935\t0.57284768211920534\t1\n92\tMouse Pad\tStandard Mouse\t0.18404255319148935\t0.57095709570957098\t1\n46\tExtension Cable\tMouse Pad\t0.17765957446808511\t0.56996587030716728\t1\n53\tStandard Mouse\tExtension Cable\t0.18085106382978725\t0.5629139072847682\t1\n45\tMouse 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ROUND(RULE_CONFIDENCE,3) CONF, NUMBER_OF_ITEMS NUM_ITMES\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC, RULE_SUPPORT DESC)\n WHERE ROWNUM <= 10 \n ORDER BY RULE_ID, ANTECEDENT, CONSEQUENT;","user":"MARK","dateUpdated":"2020-02-07T20:26:27+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM_ITMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RULE_ID\tANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tNUM_ITMES\n17\tSIMM- 16MB PCMCIAII card\t18\" Flat Panel Graphics Monitor\t0.154\t0.485\t2\n18\t18\" Flat Panel Graphics Monitor\tSIMM- 16MB PCMCIAII card\t0.154\t0.497\t2\n23\tExternal 8X CD-ROM\tCD-RW, High Speed Pack of 5\t0.153\t0.502\t2\n24\tCD-RW, High Speed Pack of 5\tExternal 8X CD-ROM\t0.153\t0.524\t2\n45\tMouse Pad\tExtension Cable\t0.178\t0.551\t2\n46\tExtension Cable\tMouse Pad\t0.178\t0.57\t2\n53\tStandard Mouse\tExtension Cable\t0.181\t0.563\t2\n54\tExtension Cable\tStandard Mouse\t0.181\t0.58\t2\n91\tStandard Mouse\tMouse Pad\t0.184\t0.573\t2\n92\tMouse Pad\tStandard Mouse\t0.184\t0.571\t2\n"}]},"jobName":"paragraph_1580935510718_-46507353","id":"20200205-204510_1351065531","dateCreated":"2018-02-06T22:01:48+0000","dateStarted":"2020-02-07T20:26:28+0000","dateFinished":"2020-02-07T20:26:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Display top 5 Association Rules using model views (antecedent, consequent, confidence)","text":"%sql \n\n-- Click on the bar chart icon and expand settings. Drag ANTECEDENT and CONSEQUENT to Keys, and CONFIDENCE to Values selecting Avg. There are no groups.\n\nSELECT * FROM\n (SELECT RULE_ID, ANTECEDENT_PREDICATE ANTECEDENT,\n CONSEQUENT_PREDICATE CONSEQUENT,\n RULE_SUPPORT SUPP, RULE_CONFIDENCE CONF, NUMBER_OF_ITEMS NUM_ITEMS\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC, RULE_SUPPORT DESC)\n WHERE ROWNUM <= 5\n ORDER BY ANTECEDENT, CONSEQUENT;","user":"MARK","dateUpdated":"2020-02-07T20:26:28+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"multiBarChart":{"stacked":false,"rotate":{"degree":"-45"},"xLabelStatus":"default"},"pieChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM_ITEMS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"ANTECEDENT","index":0,"aggr":"sum"},{"name":"CONSEQUENT","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CONF","index":3,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RULE_ID\tANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tNUM_ITEMS\n46\tExtension Cable\tMouse Pad\t0.17765957446808511\t0.56996587030716728\t2\n54\tExtension Cable\tStandard Mouse\t0.18085106382978725\t0.58020477815699656\t2\n92\tMouse Pad\tStandard Mouse\t0.18404255319148935\t0.57095709570957098\t2\n53\tStandard Mouse\tExtension Cable\t0.18085106382978725\t0.5629139072847682\t2\n91\tStandard Mouse\tMouse Pad\t0.18404255319148935\t0.57284768211920534\t2\n"}]},"jobName":"paragraph_1580935510718_86270981","id":"20200205-204510_636422405","dateCreated":"2019-07-24T19:58:22+0000","dateStarted":"2020-02-07T20:26:28+0000","dateFinished":"2020-02-07T20:26:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Plot top 12 Association Rules confidence using model views","text":"%sql \n\n-- Click the pie chart icon and expand settings. Drag ANTECEDENT and CONSEQUENT to Keys, and CONFIDENCE to Values selecting Avg. There are no groups.\n\nSELECT * FROM\n (SELECT ANTECEDENT_PREDICATE ANTECEDENT,\n CONSEQUENT_PREDICATE CONSEQUENT,\n RULE_SUPPORT SUPP, RULE_CONFIDENCE CONF, NUMBER_OF_ITEMS NUM\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC)\n WHERE ROWNUM <= 12;","user":"MARK","dateUpdated":"2020-02-07T20:26:54+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":317.8,"optionOpen":false,"setting":{"multiBarChart":{"stacked":false,"rotate":{"degree":"-45"},"xLabelStatus":"rotate"},"pieChart":{},"table":{"tableGridState":{"columns":[{"name":"ANTECEDENT","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CONSEQUENT","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"SUPP","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CONF","visible":true,"width":"*","sort":{"priority":0,"direction":"desc"},"filters":[{}],"pinned":""},{"name":"NUM","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"CONSEQUENT","index":1,"aggr":"sum"},{"name":"ANTECEDENT","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"CONF","index":3,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tNUM\nExtension Cable\tStandard Mouse\t0.18085106382978725\t0.58020477815699656\t2\nStandard Mouse\tMouse Pad\t0.18404255319148935\t0.57284768211920534\t2\nMouse Pad\tStandard Mouse\t0.18404255319148935\t0.57095709570957098\t2\nExtension Cable\tMouse Pad\t0.17765957446808511\t0.56996587030716728\t2\nStandard Mouse\tExtension Cable\t0.18085106382978725\t0.5629139072847682\t2\nMouse Pad\tExtension Cable\t0.17765957446808511\t0.55115511551155116\t2\nCD-RW, High Speed Pack of 5\tExternal 8X CD-ROM\t0.15319148936170213\t0.52363636363636368\t2\nExternal 8X CD-ROM\tCD-RW, High Speed Pack of 5\t0.15319148936170213\t0.50174216027874563\t2\n18\" Flat Panel Graphics Monitor\tSIMM- 16MB PCMCIAII card\t0.15425531914893617\t0.49657534246575341\t2\nSIMM- 16MB PCMCIAII card\t18\" Flat Panel Graphics Monitor\t0.15425531914893617\t0.48494983277591974\t2\nModel SM26273 Black Ink Cartridge\tStandard Mouse\t0.079787234042553196\t0.36764705882352944\t2\nModel SM26273 Black Ink Cartridge\tMouse Pad\t0.077659574468085107\t0.35784313725490197\t2\n"}]},"jobName":"paragraph_1580935510718_1896232428","id":"20200205-204510_206998956","dateCreated":"2019-07-29T19:08:42+0000","dateStarted":"2020-02-07T20:26:29+0000","dateFinished":"2020-02-07T20:26:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"title":"Recommend top 5 items based on \"Mouse Pad\"","text":"%sql\n\n-- number_of_items is the items in the rule.\n-- AR only support single consequent item.\n\n-- Here we use two predicates:\n-- (1) number_of_items to control for the size of the rule\n-- (2) EXTRACT to filter on the antecedent\n-- For example, if antecedent should include \"Mouse Pad\", use\n-- extract(antecedent, '//item[item_name=\"Mouse Pad\"]') IS NOT NULL\n\n-- In the following example, we assume the two antecedent item is \"Mouse Pad\".\n-- Since the number of items in antecedent is 1, the number_of_items is 2.\n-- choose top 5\n\nSELECT ROWNUM RANK,\n CONSEQUENT_NAME RECOMMENDATION,\n NUMBER_OF_ITEMS NUM,\n ROUND(RULE_SUPPORT, 3) SUPPORT, \n ROUND(RULE_CONFIDENCE, 3) CONFIDENCE,\n ROUND(RULE_LIFT, 3) LIFT,\n ROUND(RULE_REVCONFIDENCE, 3) REVERSE_CONFIDENCE\n FROM (SELECT * FROM DM$VRAR_SH_SAMPLE\n WHERE NUMBER_OF_ITEMS = 2\n AND EXTRACT(antecedent, '//item[item_name=\"Mouse Pad\"]') IS NOT NULL\n ORDER BY NUMBER_OF_ITEMS\n )\n WHERE ROWNUM <= 5;","user":"MARK","dateUpdated":"2020-02-07T20:26:29+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":232,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RANK":"string","RECOMMENDATION":"string","NUM":"string","SUPPORT":"string","CONFIDENCE":"string","LIFT":"string","REVERSE_CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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CD-ROM\t2\t0.103\t0.32\t1.049\t0.338\n5\tKeyboard Wrist Rest\t2\t0.047\t0.145\t0.771\t0.249\n"}]},"jobName":"paragraph_1580935510718_-275610974","id":"20200205-204510_817273422","dateCreated":"2019-07-29T19:13:31+0000","dateStarted":"2020-02-07T20:26:39+0000","dateFinished":"2020-02-07T20:26:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"title":"What items should we recommend when customer has \"Standard Mouse\" in basket?","text":"%sql\n\n-- In this example, we assume the antecedent item is \"Standard Mouse\".\n-- Since the number of items in antecedent is 1, the number_of_items is 2.\n-- choose top 5, ordered by rule lift to see \"Extension Cable\" as top recommendation\n-- Change sort to RULE_SUPPORT to see \"Mouse Pad\" as top recommendation\n\nSELECT ROWNUM RANK,\n CONSEQUENT_NAME RECOMMENDATION,\n NUMBER_OF_ITEMS NUM,\n ROUND(RULE_SUPPORT, 3) SUPPORT, \n ROUND(RULE_CONFIDENCE, 3) CONFIDENCE,\n ROUND(RULE_LIFT, 3) LIFT,\n ROUND(RULE_REVCONFIDENCE, 3) REVERSE_CONFIDENCE\nFROM (SELECT * FROM DM$VRAR_SH_SAMPLE\n WHERE NUMBER_OF_ITEMS = 2\n AND EXTRACT(antecedent, '//item[item_name=\"Standard Mouse\"]') IS NOT NULL\n ORDER BY RULE_LIFT DESC, NUMBER_OF_ITEMS)\nWHERE ROWNUM <= 5;\n\n---this example recommends \"Extension Cable\" and \"Mouse Pad\".","user":"MARK","dateUpdated":"2020-02-07T20:26:39+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RANK":"string","RECOMMENDATION":"string","NUM":"string","SUPPORT":"string","CONFIDENCE":"string","LIFT":"string","REVERSE_CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RANK\tRECOMMENDATION\tNUM\tSUPPORT\tCONFIDENCE\tLIFT\tREVERSE_CONFIDENCE\n1\tExtension Cable\t2\t0.181\t0.563\t1.806\t0.58\n2\tMouse Pad\t2\t0.184\t0.573\t1.777\t0.571\n3\tModel SM26273 Black Ink Cartridge\t2\t0.08\t0.248\t1.144\t0.368\n4\t18\" Flat Panel Graphics Monitor\t2\t0.096\t0.298\t0.959\t0.308\n5\tMultimedia speakers- 3\" cones\t2\t0.057\t0.179\t0.913\t0.293\n"}]},"jobName":"paragraph_1580935510718_549688393","id":"20200205-204510_1554035108","dateCreated":"2019-08-09T21:08:37+0000","dateStarted":"2020-02-07T20:26:40+0000","dateFinished":"2020-02-07T20:26:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"text":"%md \n## Alternative way to create AR Model using Settings Table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.\n\n","user":"MARK","dateUpdated":"2020-02-07T20:26:40+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative way to create AR Model using Settings Table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.
\n"}]},"jobName":"paragraph_1580935510718_-1100326713","id":"20200205-204510_22686740","dateCreated":"2019-08-09T21:10:01+0000","dateStarted":"2020-02-07T20:26:41+0000","dateFinished":"2020-02-07T20:26:41+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:164"},{"title":"Drop settings table","text":"%script\n\nBEGIN\n EXECUTE IMMEDIATE 'DROP Table AR_SH_SAMPLE_SETTINGS';\n EXCEPTION\n WHEN OTHERS THEN NULL;\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:26:41+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580937464890_-192304741","id":"20200205-211744_537829654","dateCreated":"2020-02-05T21:17:44+0000","dateStarted":"2020-02-07T20:26:46+0000","dateFinished":"2020-02-07T20:26:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:165"},{"title":"Create settings table","text":"%sql\n\nCREATE TABLE AR_SH_SAMPLE_SETTINGS (\n SETTING_NAME VARCHAR2(30),\n SETTING_VALUE VARCHAR2(4000));","user":"MARK","dateUpdated":"2020-02-07T20:26:46+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"jobName":"paragraph_1580937521699_1750272251","id":"20200205-211841_764169187","dateCreated":"2020-02-05T21:18:41+0000","dateStarted":"2020-02-07T20:26:46+0000","dateFinished":"2020-02-07T20:26:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:166"},{"title":"Define AR Model settings","text":"%script\n\nBEGIN \n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MIN_SUPPORT,0.04);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MIN_CONFIDENCE,0.1);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MAX_RULE_LENGTH,2);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ODMS_ITEM_ID_COLUMN_NAME, 'PROD_NAME');\n COMMIT;\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:26:46+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580937528826_-1037640995","id":"20200205-211848_1530470006","dateCreated":"2020-02-05T21:18:48+0000","dateStarted":"2020-02-07T20:26:47+0000","dateFinished":"2020-02-07T20:26:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:167"},{"title":"Display AR Model settings table","text":"%sql\n\nSELECT * FROM AR_SH_SAMPLE_SETTINGS;","user":"MARK","dateUpdated":"2020-02-07T20:26:47+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nASSO_MIN_SUPPORT\t.04\nASSO_MIN_CONFIDENCE\t.1\nASSO_MAX_RULE_LENGTH\t2\nODMS_ITEM_ID_COLUMN_NAME\tPROD_NAME\n"}]},"jobName":"paragraph_1580937535826_1592368633","id":"20200205-211855_25460256","dateCreated":"2020-02-05T21:18:55+0000","dateStarted":"2020-02-07T20:26:51+0000","dateFinished":"2020-02-07T20:26:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:168"},{"title":"Drop, the create AR model using SALES transactional data","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('AR_SH_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN\n DBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'AR_SH_SAMPLE',\n MINING_FUNCTION => DBMS_DATA_MINING.ASSOCIATION,\n DATA_TABLE_NAME => 'SALES_TRANS_CUST',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n SETTINGS_TABLE_NAME => 'AR_SH_SAMPLE_SETTINGS'\n );\nEND;\n\n","user":"MARK","dateUpdated":"2020-02-07T20:26:51+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580937537963_928318971","id":"20200205-211857_1651681503","dateCreated":"2020-02-05T21:18:57+0000","dateStarted":"2020-02-07T20:26:52+0000","dateFinished":"2020-02-07T20:26:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"},{"text":"%script\n","user":"MARK","dateUpdated":"2020-02-07T19:46:26+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql"},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1580937746511_-412337816","id":"20200205-212226_1215402292","dateCreated":"2020-02-05T21:22:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:170"}],"name":"Association Rules","id":"106","noteParams":{},"noteForms":{},"angularObjects":{},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
+{"paragraphs":[{"text":"%md\n\n## Association Rules (Market Basket Analysis)\n\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can also be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build associations rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:41+0000","config":{"tableHide":false,"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Association Rules (Market Basket Analysis)
\nThe Association Rules machine learning technique, also known as Market Basket Analysis, can also be used when looking for co-occurring items, states that lead to failures, or non-obvious events, e.g., as in manufacturing. In his notebook, you will build associations rules models using the A Priori algorithm with data from the SH schema (SH.SALES). All computation occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_72279886","id":"20200915-183827_2007997172","dateCreated":"2018-02-04T23:26:46+0000","dateStarted":"2020-09-15T23:12:42+0000","dateFinished":"2020-09-15T23:12:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md \n\n\n
\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:42+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":126.68799999999999,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"tableHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_841901421","id":"20200915-183827_861927625","dateCreated":"2018-02-05T22:38:27+0000","dateStarted":"2020-09-15T23:12:42+0000","dateFinished":"2020-09-15T23:12:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\n\nOracle ADW Documentation \nOML folder on Oracle on Github \nOML web page: \nOML Association Rules: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:42+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Association Rules: http://www.oracle.com/goto/ml-association-rules
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1021619090","id":"20200915-183827_2032605221","dateCreated":"2018-02-04T23:28:40+0000","dateStarted":"2020-09-15T23:12:43+0000","dateFinished":"2020-09-15T23:12:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display SALES data","text":"%sql\n\n-- Note that a transaction is defined by a set of products purchased for a given customer at a given time. \n\nSELECT CUST_ID, TIME_ID, PROD_ID, QUANTITY_SOLD, AMOUNT_SOLD, CHANNEL_ID, PROMO_ID FROM SH.SALES\nORDER BY CUST_ID, TIME_ID, PROD_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:43+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","TIME_ID":"string","PROD_ID":"string","QUANTITY_SOLD":"string","AMOUNT_SOLD":"string","CHANNEL_ID":"string","PROMO_ID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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00:00:00\t47\t1\t29.27\t2\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t3\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t4\t999\n6\t2000-06-26 00:00:00\t21\t1\t1148.39\t2\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t2\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t4\t999\n6\t2000-07-28 00:00:00\t21\t1\t1097.9\t3\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t3\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t2\t999\n6\t2000-08-28 00:00:00\t21\t1\t1097.9\t4\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t3\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t2\t999\n6\t2001-06-07 00:00:00\t120\t1\t52.98\t4\t999\n6\t2001-06-07 00:00:00\t121\t1\t10.72\t4\t999\n6\t2001-06-07 00:00:00\t121\t1\t11.05\t3\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.77\t2\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.32\t3\t999\n6\t2001-06-07 00:00:00\t134\t1\t22.1\t4\t999\n6\t2001-06-20 00:00:00\t23\t1\t23.03\t3\t999\n6\t2001-06-20 00:00:00\t23\t1\t23.03\t2\t999\n6\t2001-06-20 00:00:00\t23\t1\t21.42\t4\t999\n6\t2001-06-20 00:00:00\t24\t1\t62.64\t3\t999\n6\t2001-06-20 00:00:00\t24\t1\t63.64\t4\t999\n6\t2001-06-20 00:00:00\t24\t1\t63.02\t2\t999\n6\t2001-06-20 00:00:00\t25\t1\t117.24\t3\t999\n6\t2001-06-20 00:00:00\t25\t1\t114.9\t4\t999\n6\t2001-06-20 00:00:00\t25\t1\t117.94\t2\t999\n6\t2001-06-20 00:00:00\t26\t1\t155.78\t3\t999\n6\t2001-06-20 00:00:00\t26\t1\t152.66\t4\t999\n6\t2001-06-20 00:00:00\t26\t1\t156.71\t2\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.74\t4\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.56\t2\t999\n6\t2001-06-20 00:00:00\t27\t1\t46.28\t3\t999\n6\t2001-06-20 00:00:00\t28\t1\t205.89\t4\t999\n6\t2001-06-20 00:00:00\t28\t1\t210.09\t3\t999\n6\t2001-06-20 00:00:00\t28\t1\t211.35\t2\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.19\t4\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.12\t2\t999\n6\t2001-06-20 00:00:00\t118\t1\t17.02\t3\t999\n6\t2001-06-22 00:00:00\t38\t1\t32.24\t3\t999\n6\t2001-06-22 00:00:00\t38\t1\t32.24\t2\t999\n6\t2001-06-22 00:00:00\t38\t1\t31.6\t4\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t4\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t2\t999\n6\t2001-06-22 00:00:00\t40\t1\t47.4\t3\t999\n6\t2001-06-22 00:00:00\t42\t1\t47.6\t4\t999\n6\t2001-06-22 00:00:00\t42\t1\t47.6\t3\t999\n6\t2001-06-22 00:00:00\t43\t1\t47.63\t4\t999\n6\t2001-06-22 00:00:00\t44\t1\t47.42\t2\t999\n6\t2001-06-22 00:00:00\t45\t1\t46.6\t4\t999\n6\t2001-06-22 00:00:00\t45\t1\t46.6\t2\t999\n6\t2001-06-22 00:00:00\t48\t1\t12.29\t2\t999\n6\t2001-06-22 00:00:00\t48\t1\t12.04\t4\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t2\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t3\t999\n6\t2001-06-22 00:00:00\t113\t1\t24.4\t4\t999\n6\t2001-06-22 00:00:00\t130\t1\t98.8\t3\t999\n6\t2001-06-22 00:00:00\t130\t1\t100.78\t2\t999\n6\t2001-06-22 00:00:00\t130\t1\t97.81\t4\t999\n6\t2001-06-22 00:00:00\t131\t1\t21.35\t2\t999\n6\t2001-06-22 00:00:00\t131\t1\t20.72\t4\t999\n6\t2001-06-22 00:00:00\t131\t1\t20.93\t3\t999\n6\t2001-06-22 00:00:00\t132\t1\t27.59\t3\t999\n6\t2001-06-22 00:00:00\t132\t1\t27.31\t4\t999\n6\t2001-06-22 00:00:00\t132\t1\t28.14\t2\t999\n6\t2001-06-22 00:00:00\t133\t1\t33.07\t4\t999\n6\t2001-06-22 00:00:00\t133\t1\t33.4\t3\t999\n6\t2001-06-22 00:00:00\t133\t1\t34.07\t2\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.97\t4\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.14\t3\t999\n6\t2001-06-22 00:00:00\t135\t1\t52.45\t2\t999\n6\t2001-06-26 00:00:00\t15\t1\t951.29\t2\t999\n6\t2001-06-26 00:00:00\t15\t1\t909.63\t4\t999\n6\t2001-06-26 00:00:00\t15\t1\t947.42\t3\t999\n6\t2001-06-26 00:00:00\t16\t1\t288.34\t4\t999\n6\t2001-06-26 00:00:00\t16\t1\t303.52\t3\t999\n6\t2001-06-26 00:00:00\t16\t1\t306.56\t2\t999\n6\t2001-06-26 00:00:00\t144\t1\t7.96\t2\t999\n6\t2001-06-26 00:00:00\t144\t1\t8.04\t3\t999\n6\t2001-06-26 00:00:00\t144\t1\t7.8\t4\t999\n6\t2001-06-26 00:00:00\t147\t1\t8.18\t2\t999\n6\t2001-06-26 00:00:00\t147\t1\t8.18\t3\t999\n6\t2001-06-26 00:00:00\t147\t1\t7.61\t4\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.86\t2\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.23\t4\t999\n6\t2001-07-22 00:00:00\t122\t1\t20.86\t3\t999\n6\t2001-07-22 00:00:00\t123\t1\t57.86\t3\t999\n6\t2001-07-22 00:00:00\t123\t1\t57.86\t2\t999\n6\t2001-07-22 00:00:00\t123\t1\t56.12\t4\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.15\t4\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.52\t2\t999\n6\t2001-07-22 00:00:00\t124\t1\t18.71\t3\t999\n6\t2001-07-22 00:00:00\t128\t1\t30.73\t3\t999\n6\t2001-07-22 00:00:00\t128\t1\t30.42\t4\t999\n6\t2001-07-22 00:00:00\t128\t1\t31.34\t2\t999\n6\t2001-07-22 00:00:00\t129\t1\t190.67\t4\t999\n6\t2001-07-22 00:00:00\t129\t1\t196.45\t2\t999\n6\t2001-07-22 00:00:00\t129\t1\t192.6\t3\t999\n6\t2001-07-24 00:00:00\t38\t1\t32.14\t3\t999\n6\t2001-07-24 00:00:00\t38\t1\t31.5\t4\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.25\t2\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.25\t3\t999\n6\t2001-07-24 00:00:00\t48\t1\t12.01\t4\t999\n6\t2001-07-24 00:00:00\t113\t1\t24.32\t3\t999\n6\t2001-07-24 00:00:00\t113\t1\t24.32\t4\t999\n6\t2001-07-24 00:00:00\t120\t1\t52.72\t3\t999\n6\t2001-07-24 00:00:00\t120\t1\t52.72\t4\t999\n6\t2001-07-24 00:00:00\t121\t1\t10.69\t4\t999\n6\t2001-07-24 00:00:00\t121\t1\t11.02\t3\t999\n6\t2001-07-24 00:00:00\t130\t1\t98.49\t3\t999\n6\t2001-07-24 00:00:00\t130\t1\t97.51\t4\t999\n6\t2001-07-24 00:00:00\t130\t1\t100.46\t2\t999\n6\t2001-07-24 00:00:00\t131\t1\t20.66\t4\t999\n6\t2001-07-24 00:00:00\t131\t1\t20.87\t3\t999\n6\t2001-07-24 00:00:00\t131\t1\t21.29\t2\t999\n6\t2001-07-24 00:00:00\t132\t1\t27.23\t4\t999\n6\t2001-07-24 00:00:00\t132\t1\t27.5\t3\t999\n6\t2001-07-24 00:00:00\t132\t1\t28.05\t2\t999\n6\t2001-07-24 00:00:00\t133\t1\t32.97\t4\t999\n6\t2001-07-24 00:00:00\t133\t1\t33.3\t3\t999\n6\t2001-07-24 00:00:00\t133\t1\t33.97\t2\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.25\t3\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.03\t4\t999\n6\t2001-07-24 00:00:00\t134\t1\t22.7\t2\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.05\t3\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.88\t4\t999\n6\t2001-07-24 00:00:00\t135\t1\t52.36\t2\t999\n6\t2001-07-28 00:00:00\t15\t1\t937.08\t3\t999\n6\t2001-07-28 00:00:00\t15\t1\t940.9\t2\t999\n6\t2001-07-28 00:00:00\t15\t1\t899.68\t4\t999\n6\t2001-07-28 00:00:00\t19\t1\t58.17\t2\t999\n6\t2001-07-28 00:00:00\t19\t1\t57.01\t4\t999\n6\t2001-07-28 00:00:00\t19\t1\t58.17\t3\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.86\t3\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.86\t2\t999\n6\t2001-08-22 00:00:00\t122\t1\t20.23\t4\t999\n6\t2001-08-22 00:00:00\t123\t1\t56.12\t4\t999\n6\t2001-08-22 00:00:00\t123\t1\t57.86\t2\t999\n6\t2001-08-22 00:00:00\t123\t1\t57.86\t3\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.08\t4\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.45\t2\t999\n6\t2001-08-22 00:00:00\t124\t1\t18.64\t3\t999\n6\t2001-08-22 00:00:00\t128\t1\t30.23\t4\t999\n6\t2001-08-22 00:00:00\t128\t1\t31.15\t2\t999\n6\t2001-08-22 00:00:00\t128\t1\t30.54\t3\t999\n6\t2001-08-22 00:00:00\t129\t1\t191.39\t3\t999\n6\t2001-08-22 00:00:00\t129\t1\t195.22\t2\t999\n6\t2001-08-22 00:00:00\t129\t1\t189.48\t4\t999\n6\t2001-08-24 00:00:00\t38\t1\t31.94\t3\t999\n6\t2001-08-24 00:00:00\t38\t1\t31.3\t4\t999\n6\t2001-08-24 00:00:00\t48\t1\t12.18\t3\t999\n6\t2001-08-24 00:00:00\t48\t1\t12.18\t2\t999\n6\t2001-08-24 00:00:00\t48\t1\t11.94\t4\t999\n6\t2001-08-24 00:00:00\t113\t1\t24.22\t2\t999\n6\t2001-08-24 00:00:00\t113\t1\t24.22\t4\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t4\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t3\t999\n6\t2001-08-24 00:00:00\t120\t1\t52.62\t2\t999\n6\t2001-08-24 00:00:00\t121\t1\t10.66\t4\t999\n6\t2001-08-24 00:00:00\t121\t1\t10.99\t3\t999\n6\t2001-08-24 00:00:00\t130\t1\t99.84\t2\t999\n6\t2001-08-24 00:00:00\t130\t1\t97.88\t3\t999\n6\t2001-08-24 00:00:00\t130\t1\t96.9\t4\t999\n6\t2001-08-24 00:00:00\t131\t1\t20.52\t4\t999\n6\t2001-08-24 00:00:00\t131\t1\t20.73\t3\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.33\t3\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.88\t2\t999\n6\t2001-08-24 00:00:00\t132\t1\t27.06\t4\t999\n6\t2001-08-24 00:00:00\t133\t1\t33.75\t2\t999\n6\t2001-08-24 00:00:00\t133\t1\t33.09\t3\t999\n6\t2001-08-24 00:00:00\t133\t1\t32.76\t4\t999\n6\t2001-08-24 00:00:00\t134\t1\t21.89\t4\t999\n6\t2001-08-24 00:00:00\t134\t1\t22.11\t3\t999\n6\t2001-08-24 00:00:00\t134\t1\t22.55\t2\t999\n6\t2001-08-24 00:00:00\t135\t1\t51.84\t3\t999\n6\t2001-08-24 00:00:00\t135\t1\t52.15\t2\t999\n6\t2001-08-24 00:00:00\t135\t1\t52.67\t4\t999\n6\t2001-08-28 00:00:00\t15\t1\t940.8\t2\t999\n6\t2001-08-28 00:00:00\t19\t1\t57.81\t3\t999\n6\t2001-08-28 00:00:00\t19\t1\t56.65\t4\t999\n6\t2001-08-28 00:00:00\t19\t1\t57.81\t2\t999\n7\t1998-03-19 00:00:00\t41\t1\t48.36\t3\t999\n7\t1998-03-19 00:00:00\t42\t1\t48.36\t3\t999\n7\t1998-03-19 00:00:00\t45\t1\t48.36\t3\t999\n7\t1998-04-18 00:00:00\t125\t1\t16.65\t2\t999\n7\t1998-04-18 00:00:00\t125\t1\t16.65\t3\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t4\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t2\t999\n7\t1998-04-18 00:00:00\t126\t1\t30.19\t3\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t3\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t2\t999\n7\t1998-04-18 00:00:00\t127\t1\t39.38\t4\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t2\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t3\t999\n7\t1998-04-18 00:00:00\t128\t1\t29.8\t4\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t3\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t4\t999\n7\t1998-04-18 00:00:00\t129\t1\t205.48\t2\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t2\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t3\t999\n7\t1998-04-18 00:00:00\t130\t1\t95.81\t4\t999\n7\t1998-05-19 00:00:00\t35\t1\t54.92\t3\t999\n7\t1998-05-30 00:00:00\t35\t1\t54.92\t2\t999\n7\t1998-06-18 00:00:00\t125\t1\t16.65\t3\t999\n7\t1998-06-18 00:00:00\t126\t1\t30.19\t3\t999\n7\t1998-06-18 00:00:00\t127\t1\t39.38\t3\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t2\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t4\t999\n7\t1998-06-18 00:00:00\t128\t1\t29.8\t3\t999\n7\t1998-06-18 00:00:00\t129\t1\t205.48\t3\t999\n7\t1998-06-18 00:00:00\t130\t1\t95.81\t3\t999\n7\t1999-02-19 00:00:00\t24\t1\t50.98\t3\t999\n7\t1999-02-19 00:00:00\t33\t1\t49.38\t3\t999\n7\t1999-02-19 00:00:00\t113\t1\t24.71\t3\t999\n7\t1999-02-19 00:00:00\t114\t1\t20.41\t3\t999\n7\t1999-02-19 00:00:00\t116\t1\t12.88\t3\t999\n7\t1999-02-19 00:00:00\t117\t1\t9.66\t3\t999\n7\t1999-02-19 00:00:00\t118\t1\t8.59\t3\t999\n7\t1999-02-19 00:00:00\t119\t1\t7.52\t3\t999\n7\t1999-02-19 00:00:00\t120\t1\t8.19\t3\t999\n7\t1999-03-19 00:00:00\t23\t1\t25.05\t3\t999\n7\t1999-03-19 00:00:00\t30\t1\t11.38\t3\t999\n7\t1999-03-19 00:00:00\t31\t1\t10.24\t3\t999\n7\t1999-03-19 00:00:00\t35\t1\t59.88\t3\t999\n7\t1999-03-19 00:00:00\t36\t1\t53.89\t3\t999\n7\t1999-03-19 00:00:00\t37\t1\t65.87\t3\t999\n7\t1999-03-19 00:00:00\t38\t1\t35.92\t3\t999\n7\t1999-03-19 00:00:00\t48\t1\t13.66\t3\t999\n7\t1999-05-19 00:00:00\t47\t1\t32.41\t3\t999\n7\t1999-05-30 00:00:00\t47\t1\t29.27\t2\t999\n7\t1999-05-30 00:00:00\t47\t1\t26.04\t4\t999\n7\t2000-03-18 00:00:00\t114\t1\t21.35\t3\t999\n7\t2000-03-18 00:00:00\t120\t1\t8.14\t3\t999\n7\t2000-03-18 00:00:00\t121\t1\t12.8\t3\t999\n7\t2000-03-18 00:00:00\t122\t1\t22.12\t3\t999\n7\t2000-05-18 00:00:00\t114\t1\t21.35\t3\t999\n7\t2000-05-18 00:00:00\t121\t1\t12.8\t3\t999\n7\t2000-05-19 00:00:00\t31\t1\t9.47\t3\t999\n7\t2000-05-30 00:00:00\t31\t1\t9.47\t2\t999\n7\t2001-04-18 00:00:00\t36\t1\t48.41\t3\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t4\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t3\t999\n7\t2001-04-18 00:00:00\t113\t1\t24.65\t2\t999\n7\t2001-04-18 00:00:00\t114\t1\t20.38\t3\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.22\t4\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.44\t2\t999\n7\t2001-04-18 00:00:00\t115\t1\t9.43\t3\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.42\t4\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.7\t3\t999\n7\t2001-04-18 00:00:00\t116\t1\t12.71\t2\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.58\t3\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.53\t4\t999\n7\t2001-04-18 00:00:00\t117\t1\t9.58\t2\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.39\t4\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.32\t2\t999\n7\t2001-04-18 00:00:00\t118\t1\t17.22\t3\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.44\t2\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.44\t3\t999\n7\t2001-04-18 00:00:00\t119\t1\t7.37\t4\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t4\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t3\t999\n7\t2001-04-18 00:00:00\t120\t1\t53.82\t2\t999\n7\t2001-04-18 00:00:00\t121\t1\t10.78\t4\t999\n7\t2001-04-18 00:00:00\t121\t1\t11.11\t2\t999\n7\t2001-04-18 00:00:00\t121\t1\t11.11\t3\t999\n7\t2001-04-18 00:00:00\t122\t1\t20.86\t3\t999\n7\t2001-04-18 00:00:00\t123\t1\t57.86\t3\t999\n7\t2001-04-18 00:00:00\t123\t1\t57.86\t2\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.86\t3\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.29\t4\t999\n7\t2001-04-18 00:00:00\t124\t1\t18.67\t2\t999\n7\t2001-04-18 00:00:00\t131\t1\t21.13\t3\t999\n7\t2001-04-18 00:00:00\t131\t1\t21.55\t2\t999\n7\t2001-04-18 00:00:00\t131\t1\t20.92\t4\t999\n7\t2001-04-18 00:00:00\t132\t1\t27.85\t3\t999\n7\t2001-04-18 00:00:00\t132\t1\t28.41\t2\t999\n7\t2001-04-18 00:00:00\t133\t1\t33.38\t4\t999\n7\t2001-04-18 00:00:00\t133\t1\t33.72\t3\t999\n7\t2001-04-18 00:00:00\t133\t1\t34.39\t2\t999\n7\t2001-04-18 00:00:00\t134\t1\t22.53\t3\t999\n7\t2001-04-18 00:00:00\t135\t1\t53.58\t4\t999\n7\t2001-04-18 00:00:00\t135\t1\t52.74\t3\t999\n7\t2001-04-18 00:00:00\t135\t1\t53.06\t2\t999\n7\t2001-04-18 00:00:00\t137\t1\t52.78\t4\t999\n7\t2001-04-18 00:00:00\t137\t1\t53.86\t3\t999\n7\t2001-04-18 00:00:00\t137\t1\t53.33\t2\t999\n7\t2001-04-18 00:00:00\t138\t1\t142.41\t2\t999\n7\t2001-04-18 00:00:00\t139\t1\t20.89\t4\t999\n7\t2001-04-18 00:00:00\t139\t1\t21.1\t3\t999\n7\t2001-04-18 00:00:00\t139\t1\t21.1\t2\t999\n7\t2001-04-18 00:00:00\t140\t1\t33.5\t2\t999\n7\t2001-04-18 00:00:00\t140\t1\t33.17\t4\t999\n7\t2001-04-18 00:00:00\t141\t1\t32.63\t3\t999\n7\t2001-04-18 00:00:00\t141\t1\t31.98\t4\t999\n7\t2001-04-18 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00:00:00\t25\t1\t116.21\t4\t999\n7\t2001-05-30 00:00:00\t28\t1\t205.76\t4\t999\n7\t2001-05-30 00:00:00\t28\t1\t209.96\t3\t999\n7\t2001-05-30 00:00:00\t28\t1\t211.22\t2\t999\n7\t2001-05-30 00:00:00\t29\t1\t529.62\t4\t999\n7\t2001-05-30 00:00:00\t29\t1\t534.97\t2\t999\n7\t2001-05-30 00:00:00\t30\t1\t10.51\t2\t999\n7\t2001-05-30 00:00:00\t30\t1\t10.2\t4\t999\n7\t2001-05-30 00:00:00\t32\t1\t70.97\t4\t999\n7\t2001-05-30 00:00:00\t32\t1\t70.69\t2\t999\n7\t2001-05-30 00:00:00\t33\t1\t46.51\t4\t999\n7\t2001-05-30 00:00:00\t34\t1\t43.58\t2\t999\n7\t2001-05-30 00:00:00\t34\t1\t40.53\t4\t999\n7\t2001-05-30 00:00:00\t36\t1\t48.07\t3\t999\n7\t2001-05-30 00:00:00\t37\t1\t59\t4\t999\n7\t2001-05-30 00:00:00\t37\t1\t59\t2\t999\n7\t2001-05-30 00:00:00\t40\t1\t47.91\t2\t999\n7\t2001-05-30 00:00:00\t41\t1\t48\t2\t999\n7\t2001-05-30 00:00:00\t42\t1\t48.12\t4\t999\n7\t2001-05-30 00:00:00\t42\t1\t48.12\t2\t999\n7\t2001-05-30 00:00:00\t46\t1\t25.07\t4\t999\n7\t2001-05-30 00:00:00\t46\t1\t24.49\t2\t999\n7\t2001-05-30 00:00:00\t48\t1\t12.12\t4\t999\n7\t2001-05-30 00:00:00\t48\t1\t12.37\t2\t999\n7\t2001-05-30 00:00:00\t113\t1\t24.52\t4\t999\n7\t2001-05-30 00:00:00\t114\t1\t20.61\t2\t999\n7\t2001-05-30 00:00:00\t115\t1\t9.45\t2\t999\n7\t2001-05-30 00:00:00\t115\t1\t9.23\t4\t999\n7\t2001-05-30 00:00:00\t116\t1\t12.44\t4\t999\n7\t2001-05-30 00:00:00\t116\t1\t12.73\t2\t999\n7\t2001-05-30 00:00:00\t117\t1\t9.6\t4\t999\n7\t2001-05-30 00:00:00\t117\t1\t9.65\t2\t999\n7\t2001-05-30 00:00:00\t118\t1\t17.38\t4\t999\n7\t2001-05-30 00:00:00\t118\t1\t17.31\t2\t999\n7\t2001-05-30 00:00:00\t118\t1\t17.21\t3\t999\n7\t2001-05-30 00:00:00\t119\t1\t7.4\t2\t999\n7\t2001-05-30 00:00:00\t119\t1\t7.33\t4\t999\n7\t2001-05-30 00:00:00\t120\t1\t53.35\t2\t999\n7\t2001-05-30 00:00:00\t120\t1\t53.35\t4\t999\n7\t2001-05-30 00:00:00\t121\t1\t11.06\t2\t999\n7\t2001-06-18 00:00:00\t36\t1\t47.73\t3\t999\n7\t2001-06-18 00:00:00\t113\t1\t24.4\t2\t999\n7\t2001-06-18 00:00:00\t114\t1\t20.15\t3\t999\n7\t2001-06-18 00:00:00\t114\t1\t20.38\t2\t999\n7\t2001-06-18 00:00:00\t115\t1\t9.49\t3\t999\n7\t2001-06-18 00:00:00\t116\t1\t12.78\t3\t999\n7\t2001-06-18 00:00:00\t116\t1\t12.79\t2\t999\n7\t2001-06-18 00:00:00\t117\t1\t9.48\t3\t999\n7\t2001-06-18 00:00:00\t119\t1\t7.36\t3\t999\n7\t2001-06-18 00:00:00\t120\t1\t52.98\t3\t999\n7\t2001-06-18 00:00:00\t121\t1\t11.05\t3\t999\n7\t2001-06-18 00:00:00\t122\t1\t20.23\t4\t999\n7\t2001-06-18 00:00:00\t122\t1\t20.86\t3\t999\n7\t2001-06-18 00:00:00\t123\t1\t57.86\t3\t999\n7\t2001-06-18 00:00:00\t124\t1\t18.75\t3\t999\n7\t2001-06-18 00:00:00\t131\t1\t20.93\t3\t999\n7\t2001-06-18 00:00:00\t132\t1\t27.59\t3\t999\n7\t2001-06-18 00:00:00\t133\t1\t33.4\t3\t999\n7\t2001-06-18 00:00:00\t134\t1\t22.32\t3\t999\n7\t2001-06-18 00:00:00\t135\t1\t52.14\t3\t999\n7\t2001-06-18 00:00:00\t137\t1\t53.35\t3\t999\n7\t2001-06-18 00:00:00\t138\t1\t141.5\t4\t999\n7\t2001-06-18 00:00:00\t138\t1\t139.55\t3\t999\n7\t2001-06-18 00:00:00\t139\t1\t21.23\t3\t999\n7\t2001-06-18 00:00:00\t139\t1\t21.02\t4\t999\n7\t2001-06-18 00:00:00\t140\t1\t33.36\t4\t999\n7\t2001-06-18 00:00:00\t140\t1\t33.7\t3\t999\n7\t2001-06-18 00:00:00\t141\t1\t31.62\t4\t999\n7\t2001-06-18 00:00:00\t141\t1\t32.27\t3\t999\n7\t2001-06-18 00:00:00\t142\t1\t21.29\t3\t999\n7\t2001-06-18 00:00:00\t143\t1\t21.92\t3\t999\n7\t2001-06-18 00:00:00\t145\t1\t12.55\t3\t999\n7\t2001-06-18 00:00:00\t146\t1\t13.54\t3\t999\n7\t2001-06-18 00:00:00\t147\t1\t7.61\t4\t999\n7\t2001-06-18 00:00:00\t147\t1\t8.18\t3\t999\n7\t2001-06-18 00:00:00\t148\t1\t22.38\t4\t999\n7\t2001-06-18 00:00:00\t148\t1\t23.56\t3\t999\n8\t1998-01-18 00:00:00\t113\t1\t27.98\t3\t999\n8\t1998-01-18 00:00:00\t120\t1\t9.22\t3\t999\n8\t1998-01-18 00:00:00\t130\t1\t127.75\t3\t999\n8\t1998-01-18 00:00:00\t132\t1\t35.48\t3\t999\n8\t1998-01-18 00:00:00\t140\t1\t42.58\t3\t999\n8\t1998-01-19 00:00:00\t19\t1\t63.02\t3\t999\n8\t1998-01-19 00:00:00\t28\t1\t216.99\t3\t999\n8\t1998-02-15 00:00:00\t130\t1\t127.75\t3\t999\n8\t1998-02-15 00:00:00\t131\t1\t26.96\t3\t999\n8\t1998-02-15 00:00:00\t132\t1\t35.48\t3\t999\n8\t1998-02-16 00:00:00\t23\t1\t24.08\t3\t999\n8\t1998-02-16 00:00:00\t25\t1\t128.32\t3\t999\n8\t1998-02-16 00:00:00\t27\t1\t49.27\t3\t999\n8\t1998-03-18 00:00:00\t120\t1\t9.22\t3\t999\n8\t1998-03-18 00:00:00\t130\t1\t127.75\t3\t999\n8\t1998-03-18 00:00:00\t132\t1\t35.48\t3\t999\n8\t1998-03-18 00:00:00\t140\t1\t42.58\t3\t999\n8\t1998-03-18 00:00:00\t146\t1\t17.03\t3\t999\n8\t1998-03-18 00:00:00\t148\t1\t29.8\t3\t999\n8\t1998-03-19 00:00:00\t19\t1\t63.02\t3\t999\n8\t1998-03-19 00:00:00\t26\t1\t170.34\t3\t999\n8\t1998-03-19 00:00:00\t28\t1\t216.99\t3\t999\n8\t1998-04-18 00:00:00\t114\t1\t23.11\t3\t999\n8\t1998-04-18 00:00:00\t117\t1\t10.94\t3\t999\n8\t1998-04-18 00:00:00\t119\t1\t8.51\t3\t999\n8\t1998-04-18 00:00:00\t123\t1\t65.9\t3\t999\n8\t1998-04-18 00:00:00\t125\t1\t16.65\t3\t999\n8\t1998-04-18 00:00:00\t126\t1\t30.19\t3\t999\n8\t1998-04-18 00:00:00\t128\t1\t29.8\t3\t999\n8\t1998-04-26 00:00:00\t20\t1\t608.39\t3\t999\n8\t1998-04-26 00:00:00\t30\t1\t10.94\t3\t999\n8\t1998-04-26 00:00:00\t31\t1\t9.85\t3\t999\n8\t1998-04-29 00:00:00\t132\t1\t35.48\t3\t999\n8\t1998-05-18 00:00:00\t131\t1\t26.96\t3\t999\n8\t1998-05-18 00:00:00\t140\t1\t42.58\t3\t999\n8\t1998-05-18 00:00:00\t148\t1\t29.8\t3\t999\n8\t1998-05-19 00:00:00\t19\t1\t63.02\t3\t999\n8\t1998-05-19 00:00:00\t23\t1\t24.08\t3\t999\n8\t1998-05-19 00:00:00\t25\t1\t128.32\t3\t999\n8\t1998-05-19 00:00:00\t28\t1\t216.99\t3\t999\n8\t1998-06-18 00:00:00\t116\t1\t14.59\t3\t999\n8\t1998-06-18 00:00:00\t117\t1\t10.94\t3\t999\n8\t1998-06-18 00:00:00\t119\t1\t8.51\t3\t999\n8\t1998-06-18 00:00:00\t123\t1\t65.9\t3\t999\n8\t1998-06-18 00:00:00\t127\t1\t39.38\t3\t999\n8\t1998-06-18 00:00:00\t128\t1\t29.8\t3\t999\n8\t1998-06-26 00:00:00\t30\t1\t10.94\t3\t999\n8\t1998-06-26 00:00:00\t31\t1\t9.85\t3\t999\n8\t1998-06-26 00:00:00\t40\t1\t50.18\t3\t999\n8\t1998-07-18 00:00:00\t130\t1\t125.02\t3\t999\n8\t1998-07-18 00:00:00\t132\t1\t34.72\t3\t999\n8\t1998-07-18 00:00:00\t133\t1\t43.05\t3\t999\n8\t1998-07-18 00:00:00\t140\t1\t41.67\t3\t999\n8\t1998-07-18 00:00:00\t146\t1\t16.66\t3\t999\n8\t1998-07-19 00:00:00\t23\t1\t24.08\t3\t999\n8\t1998-07-19 00:00:00\t25\t1\t127.74\t3\t999\n8\t1998-07-19 00:00:00\t28\t1\t216.38\t3\t999\n8\t1998-11-26 00:00:00\t19\t1\t62.08\t3\t999\n8\t1999-01-27 00:00:00\t18\t1\t1726.83\t3\t999\n8\t1999-01-28 00:00:00\t18\t1\t1726.83\t3\t999\n9\t1998-01-17 00:00:00\t38\t1\t32.22\t4\t999\n9\t1998-01-17 00:00:00\t40\t1\t46.79\t2\t999\n9\t1998-01-17 00:00:00\t43\t1\t46.79\t3\t999\n9\t1998-01-17 00:00:00\t44\t1\t46.79\t3\t999\n9\t1998-01-17 00:00:00\t45\t1\t46.79\t3\t999\n9\t1998-01-17 00:00:00\t45\t1\t46.79\t4\t999\n9\t1998-01-17 00:00:00\t47\t1\t30.38\t3\t999\n9\t1998-01-17 00:00:00\t47\t1\t29.47\t4\t999\n9\t1998-01-18 00:00:00\t114\t1\t19.37\t2\t999\n9\t1998-01-18 00:00:00\t115\t1\t9.17\t2\t999\n9\t1998-01-18 00:00:00\t115\t1\t9.17\t3\t999\n9\t1998-01-18 00:00:00\t116\t1\t12.23\t2\t999\n9\t1998-01-18 00:00:00\t116\t1\t12.23\t3\t999\n9\t1998-01-18 00:00:00\t117\t1\t9.17\t4\t999\n9\t1998-01-18 00:00:00\t117\t1\t9.17\t3\t999\n9\t1998-01-18 00:00:00\t117\t1\t9.17\t2\t999\n9\t1998-01-18 00:00:00\t118\t1\t8.15\t2\t999\n9\t1998-01-18 00:00:00\t118\t1\t8.15\t3\t999\n9\t1998-01-18 00:00:00\t118\t1\t8.15\t4\t999\n9\t1998-01-18 00:00:00\t119\t1\t7.13\t4\t999\n9\t1998-01-18 00:00:00\t119\t1\t7.13\t2\t999\n9\t1998-01-18 00:00:00\t125\t1\t16.36\t3\t999\n9\t1998-01-18 00:00:00\t126\t1\t29.66\t3\t999\n9\t1998-01-18 00:00:00\t126\t1\t29.66\t2\t999\n9\t1998-01-18 00:00:00\t127\t1\t38.14\t4\t999\n9\t1998-01-18 00:00:00\t127\t1\t38.14\t3\t999\n9\t1998-01-18 00:00:00\t127\t1\t38.14\t2\t999\n9\t1998-01-18 00:00:00\t128\t1\t28.86\t3\t999\n9\t1998-01-18 00:00:00\t128\t1\t28.86\t4\t999\n9\t1998-01-18 00:00:00\t128\t1\t28.86\t2\t999\n9\t1998-01-18 00:00:00\t129\t1\t198.97\t3\t999\n9\t1998-01-18 00:00:00\t129\t1\t198.97\t2\t999\n9\t1998-01-18 00:00:00\t129\t1\t198.97\t4\t999\n9\t1998-10-17 00:00:00\t40\t1\t46.79\t2\t999\n9\t1998-10-17 00:00:00\t40\t1\t46.79\t4\t999\n9\t1998-10-17 00:00:00\t41\t1\t46.79\t4\t999\n9\t1998-10-17 00:00:00\t47\t1\t29.47\t4\t999\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1890394904","id":"20200915-183827_386958389","dateCreated":"2018-02-04T23:30:09+0000","dateStarted":"2020-09-15T23:12:43+0000","dateFinished":"2020-09-15T23:12:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display PRODUCTS with product name and associated data for each PROD_ID","text":"%sql\n\nSELECT * FROM SH.PRODUCTS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:44+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"PROD_ID","index":0,"aggr":"sum"}],"values":[{"name":"PROD_NAME","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"PROD_NAME","index":1,"aggr":"sum"},"xAxis":{"name":"PROD_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PROD_ID":"string","PROD_NAME":"string","PROD_DESC":"string","PROD_SUBCATEGORY":"string","PROD_SUBCATEGORY_ID":"string","PROD_SUBCATEGORY_DESC":"string","PROD_CATEGORY":"string","PROD_CATEGORY_ID":"string","PROD_CATEGORY_DESC":"string","PROD_WEIGHT_CLASS":"string","PROD_UNIT_OF_MEASURE":"string","PROD_PACK_SIZE":"string","SUPPLIER_ID":"string","PROD_STATUS":"string","PROD_LIST_PRICE":"string","PROD_MIN_PRICE":"string","PROD_TOTAL":"string","PROD_TOTAL_ID":"string","PROD_SRC_ID":"string","PROD_EFF_FROM":"string","PROD_EFF_TO":"string","PROD_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PROD_ID\tPROD_NAME\tPROD_DESC\tPROD_SUBCATEGORY\tPROD_SUBCATEGORY_ID\tPROD_SUBCATEGORY_DESC\tPROD_CATEGORY\tPROD_CATEGORY_ID\tPROD_CATEGORY_DESC\tPROD_WEIGHT_CLASS\tPROD_UNIT_OF_MEASURE\tPROD_PACK_SIZE\tSUPPLIER_ID\tPROD_STATUS\tPROD_LIST_PRICE\tPROD_MIN_PRICE\tPROD_TOTAL\tPROD_TOTAL_ID\tPROD_SRC_ID\tPROD_EFF_FROM\tPROD_EFF_TO\tPROD_VALID\n13\t5MP Telephoto Digital Camera\t5MP Telephoto Digital Camera\tCameras\t2044\tCameras\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t899.99\t899.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n14\t17\" LCD w/built-in HDTV Tuner\t17\" LCD w/built-in HDTV Tuner\tMonitors\t2035\tMonitors\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t999.99\t999.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n15\tEnvoy 256MB - 40GB\tEnvoy 256MB - 40Gb\tDesktop PCs\t2021\tDesktop PCs\tHardware\t202\tHardware\t1\tU\tP\t1\tSTATUS\t999.99\t999.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n16\tY Box\tY Box\tGame Consoles\t2011\tGame Consoles\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t299.99\t299.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n17\tMini DV Camcorder with 3.5\" Swivel LCD\tMini DV Camcorder with 3.5\" Swivel LCD\tCamcorders\t2041\tCamcorders\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t1099.99\t1099.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n18\tEnvoy Ambassador\tEnvoy Ambassador\tPortable PCs\t2022\tPortable PCs\tHardware\t202\tHardware\t1\tU\tP\t1\tSTATUS\t1299.99\t1299.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n19\tLaptop carrying case\tLaptop carrying case\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t55.99\t55.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n20\tHome Theatre Package with DVD-Audio/Video Play\tHome Theatre Package with DVD-Audio/Video Play\tHome Audio\t2012\tHome Audio\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t599.99\t599.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n21\t18\" Flat Panel Graphics Monitor\t18\" Flat Panel Graphics Monitor\tMonitors\t2035\tMonitors\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t899.99\t899.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n22\tEnvoy External Keyboard\tEnvoy External Keyboard\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t24.99\t24.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n23\tExternal 101-key keyboard\tExternal 101-key keyboard\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t21.99\t21.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n24\tPCMCIA modem/fax 28800 baud\tPCMCIA modem/fax 28800 baud\tModems/Fax\t2034\tModems/Fax\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t45.99\t45.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n25\tSIMM- 8MB PCMCIAII card\tSIMM- 8MB PCMCIAII card\tMemory\t2033\tMemory\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t112.99\t112.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n26\tSIMM- 16MB PCMCIAII card\tSIMM- 16MB PCMCIAII card\tMemory\t2033\tMemory\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t149.99\t149.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n27\tMultimedia speakers- 3\" cones\tMultimedia speakers- 3\" cones\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n28\tUnix/Windows 1-user pack\tUnix/Windows 1-user pack\tOperating Systems\t2052\tOperating Systems\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t199.99\t199.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n29\t8.3 Minitower Speaker\t8.3 Minitower Speaker\tHome Audio\t2012\tHome Audio\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t499.99\t499.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n30\tMouse Pad\tMouse Pad\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t9.99\t9.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n31\t1.44MB External 3.5\" Diskette\t1.44MB External 3.5\" Diskette\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n32\tMultimedia speakers- 5\" cones\tMultimedia speakers- 5\" cones\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t67.99\t67.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n33\tPCMCIA modem/fax 19200 baud\tPCMCIA modem/fax 19200 baud\tModems/Fax\t2034\tModems/Fax\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n34\tExternal 6X CD-ROM\tExternal 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t39.99\t39.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n35\tExternal 8X CD-ROM\tExternal 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n36\tEnvoy External 6X CD-ROM\tEnvoy External 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n37\tEnvoy External 8X CD-ROM\tEnvoy External 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t54.99\t54.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n38\tInternal 6X CD-ROM\tInternal 6X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n39\tInternal 8X CD-ROM\tInternal 8X CD-ROM\tCD-ROM\t2032\tCD-ROM\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t34.99\t34.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n40\tO/S Documentation Set - English\tO/S Documentation Set - English\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n41\tO/S Documentation Set - German\tO/S Documentation Set - German\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n42\tO/S Documentation Set - French\tO/S Documentation Set - French\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n43\tO/S Documentation Set - Spanish\tO/S Documentation Set - Spanish\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n44\tO/S Documentation Set - Italian\tO/S Documentation Set - Italian\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n45\tO/S Documentation Set - Kanji\tO/S Documentation Set - Kanji\tDocumentation\t2054\tDocumentation\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t44.99\t44.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n46\tStandard Mouse\tStandard Mouse\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t22.99\t22.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n47\tDeluxe Mouse\tDeluxe Mouse\tAccessories\t2031\tAccessories\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t28.99\t28.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n48\tKeyboard Wrist Rest\tKeyboard Wrist Rest\tAccessories\t2051\tAccessories\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n113\tCD-R Mini Discs\tCD-R Mini Discs with Jewel Case, 185MB, Pack of 5\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t22.99\t22.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n114\tMusic CD-R\tMusic CD-R with Spindle, 700MB, Pack of 30\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n115\tCD-RW, High Speed, Pack of 10\tCD-RW, High Speed, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n116\tCD-RW, High Speed Pack of 5\tCD-RW, High Speed 650MB/74 Minutes, Pack of 5\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n117\tCD-R, Professional Grade, Pack of 10\tCD-R, Professional Grade, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t8.99\t8.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n118\tOraMusic CD-R, Pack of 10\tOraMusic CD-R, Pack of 10\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n119\tCD-R with Jewel Cases, pACK OF 12\tCD-R with Jewel Cases, 700MB/80 Minutes, Pack of 12\tRecordable CDs\t2055\tRecordable CDs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t6.99\t6.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n120\tDVD-R Disc with Jewel Case, 4.7 GB\tDVD-R Disc with Jewel Case, 4.7 GB\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t6.99\t6.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n121\tDVD-RAM Jewel Case, Double-Sided, 9.4G\tDVD-RAM Media, with Jewel Case, Double-Sided, 9.4GB\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t10.99\t10.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n122\tDVD-R Discs, 4.7GB, Pack of 5\tDVD-R Discs, 4.7GB, Pack of 5\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n123\tDVD-R Discs, 4.7GB, Pack of 5\tDVD-R Discs, 4.7GB, Pack of 5\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n124\tDVD-RW Discs, 4.7GB, Pack of 3\tDVD-RW Discs, 4.7GB, Pack of 3\tRecordable DVD Discs\t2056\tRecordable DVD Discs\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n125\t3 1/2\" Bulk diskettes, Box of 50\t3 1/2\" Bulk diskettes, Box of 50\tBulk Pack Diskettes\t2053\tBulk Pack Diskettes\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t15.99\t15.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n126\t3 1/2\" Bulk diskettes, Box of 100\t3 1/2\" Bulk diskettes, Box of 100\tBulk Pack Diskettes\t2053\tBulk Pack Diskettes\tSoftware/Other\t205\tSoftware/Other\t1\tU\tP\t1\tSTATUS\t28.99\t28.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n127\tModel CD13272 Tricolor Ink Cartridge\tModel CD13272 Tricolor Ink Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t36.99\t36.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n128\tModel SM26273 Black Ink Cartridge\tModel SM26273 Black Ink Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t27.99\t27.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n129\tModel NM500X High Yield Toner Cartridge\tModel NM500X High Yield Toner Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t192.99\t192.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n130\tModel A3827H Black Image Cartridge\tModel A3827H Black Image Cartridge\tPrinter Supplies\t2036\tPrinter Supplies\tPeripherals and Accessories\t203\tPeripherals and Accessories\t1\tU\tP\t1\tSTATUS\t89.99\t89.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n131\tModel K3822L Cordless Phone Battery\tModel K3822L Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t18.99\t18.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n132\tModel C9827B Cordless Phone Battery\tModel C9827B Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t24.99\t24.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n133\tModel K8822S Cordless Phone Battery\tModel K8822S Cordless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t30.99\t30.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n134\tModel C93822D Wireless Phone Battery\tModel C93822D Wireless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t20.99\t20.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n135\tS27273M Extended Use w/l Phone Batt.\tModel S27273M Extended Use Wireless Phone Battery\tCamera Batteries\t2042\tCamera Batteries\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t49.99\t49.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n136\t64MB Memory Card\t64MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t32.99\t32.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n137\t128MB Memory Card\t128MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t52.99\t52.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n138\t256MB Memory Card\t256MB Memory Card\tCamera Media\t2043\tCamera Media\tPhoto\t204\tPhoto\t1\tU\tP\t1\tSTATUS\t69.99\t69.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n139\tBounce\tBounce\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t4\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n140\tEndurance Racing\tEndurance Racing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n141\tSmash up Boxing\tSmash up Boxing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t29.99\t29.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n142\tMartial Arts Champions\tMartial Arts Champions\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n143\tComic Book Heroes\tComic Book Heroes\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t19.99\t19.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n144\tFly Fishing\tFly Fishing\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n145\tFinding Fido\tFinding Fido\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t12.99\t12.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n146\tAdventures with Numbers\tAdventures with Numbers\tY Box Games\t2014\tY Box Games\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t11.99\t11.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n147\tExtension Cable\tExtension Cable\tY Box Accessories\t2013\tY Box Accessories\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t7.99\t7.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n148\tXtend Memory\tXtend Memory\tY Box Accessories\t2013\tY Box Accessories\tElectronics\t201\tElectronics\t1\tU\tP\t1\tSTATUS\t20.99\t20.99\tTOTAL\t1\t\t1998-01-01 00:00:00\t\tA\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_794253995","id":"20200915-183827_476300313","dateCreated":"2018-02-04T23:31:50+0000","dateStarted":"2020-09-15T23:12:44+0000","dateFinished":"2020-09-15T23:12:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Prepare Sales transactional data for market basket analysis and create a SALES_TRANS_CUST view ","text":"%script\n\n-- Join data from the SH.SALES and SH.PRODUCTS tables to provide the product names and categories purchased by each customer\n\nCREATE OR REPLACE VIEW SALES_TRANS_CUST AS\n SELECT DISTINCT CUST_ID, PROD_NAME, PROD_CATEGORY\n FROM (SELECT A.CUST_ID, B.PROD_NAME, B.PROD_CATEGORY\n FROM SH.SALES A, SH.PRODUCTS B\n WHERE A.PROD_ID = B.PROD_ID AND\n A.CUST_ID BETWEEN 100001 AND 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SALES_TRANS_CUST;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:45+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"pieChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROD_NAME":"string","PROD_CATEGORY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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Mouse\tPeripherals and Accessories\n100105\tStandard Mouse\tPeripherals and Accessories\n100096\tKeyboard Wrist Rest\tSoftware/Other\n100097\tKeyboard Wrist Rest\tSoftware/Other\n100112\tExtension Cable\tElectronics\n100122\tExtension Cable\tElectronics\n100138\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100144\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100156\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100132\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100124\tMouse Pad\tSoftware/Other\n100125\tMouse Pad\tSoftware/Other\n100128\tExternal 8X CD-ROM\tPeripherals and Accessories\n100147\tExternal 8X CD-ROM\tPeripherals and Accessories\n100125\tStandard Mouse\tPeripherals and Accessories\n100133\tKeyboard Wrist Rest\tSoftware/Other\n100155\tKeyboard Wrist Rest\tSoftware/Other\n100124\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100128\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100151\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100125\tExtension Cable\tElectronics\n100131\tExtension Cable\tElectronics\n100139\tExtension Cable\tElectronics\n100154\tExtension Cable\tElectronics\n100232\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tMouse Pad\tSoftware/Other\n100262\tMouse Pad\tSoftware/Other\n100242\tExternal 8X CD-ROM\tPeripherals and Accessories\n100156\tO/S Documentation Set - English\tSoftware/Other\n100245\tO/S Documentation Set - English\tSoftware/Other\n100263\tO/S Documentation Set - English\tSoftware/Other\n100160\tStandard Mouse\tPeripherals and Accessories\n100264\tStandard Mouse\tPeripherals and Accessories\n100232\tKeyboard Wrist Rest\tSoftware/Other\n100234\tKeyboard Wrist Rest\tSoftware/Other\n100235\tKeyboard Wrist Rest\tSoftware/Other\n100230\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100231\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100158\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100240\tExtension Cable\tElectronics\n100268\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100292\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100274\tMouse Pad\tSoftware/Other\n100279\tMouse Pad\tSoftware/Other\n100268\tExternal 8X CD-ROM\tPeripherals and Accessories\n100290\tKeyboard Wrist Rest\tSoftware/Other\n100271\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100273\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100286\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100288\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100282\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100269\tExtension Cable\tElectronics\n100276\tExtension Cable\tElectronics\n100300\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100317\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100318\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100300\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100301\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100302\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100319\tMouse Pad\tSoftware/Other\n100317\tO/S Documentation Set - English\tSoftware/Other\n100328\tStandard Mouse\tPeripherals and Accessories\n100336\tKeyboard Wrist Rest\tSoftware/Other\n100326\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100331\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100308\tExtension Cable\tElectronics\n100319\tExtension Cable\tElectronics\n100367\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100359\tMouse Pad\tSoftware/Other\n100361\tMouse Pad\tSoftware/Other\n100369\tExternal 8X CD-ROM\tPeripherals and Accessories\n100356\tO/S Documentation Set - English\tSoftware/Other\n100357\tO/S Documentation Set - English\tSoftware/Other\n100342\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100343\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100351\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100358\tExtension Cable\tElectronics\n100368\tExtension Cable\tElectronics\n100375\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100384\tStandard Mouse\tPeripherals and Accessories\n100168\tStandard Mouse\tPeripherals and Accessories\n100180\tKeyboard Wrist Rest\tSoftware/Other\n100163\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100163\tExtension Cable\tElectronics\n100175\tExtension Cable\tElectronics\n100181\tExtension Cable\tElectronics\n100184\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100190\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100214\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100185\tMouse Pad\tSoftware/Other\n100202\tMouse Pad\tSoftware/Other\n100204\tMouse Pad\tSoftware/Other\n100198\tExternal 8X CD-ROM\tPeripherals and Accessories\n100209\tExternal 8X CD-ROM\tPeripherals and Accessories\n100196\tStandard Mouse\tPeripherals and Accessories\n100204\tStandard Mouse\tPeripherals and Accessories\n100185\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100189\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100205\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100207\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100203\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100212\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100214\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100215\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100191\tExtension Cable\tElectronics\n100205\tExtension Cable\tElectronics\n100013\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100021\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100224\tStandard Mouse\tPeripherals and Accessories\n100218\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100222\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100219\tExtension Cable\tElectronics\n100059\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100044\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100024\tMouse Pad\tSoftware/Other\n100058\tMouse Pad\tSoftware/Other\n100031\tExternal 8X CD-ROM\tPeripherals and Accessories\n100059\tExternal 8X CD-ROM\tPeripherals and Accessories\n100041\tO/S Documentation Set - English\tSoftware/Other\n100053\tO/S Documentation Set - English\tSoftware/Other\n100054\tStandard Mouse\tPeripherals and Accessories\n100039\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100059\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100025\tExtension Cable\tElectronics\n100052\tExtension Cable\tElectronics\n100071\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100071\tExternal 8X CD-ROM\tPeripherals and Accessories\n100074\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100538\tExtension Cable\tElectronics\n100586\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100560\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100584\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100547\tMouse Pad\tSoftware/Other\n100547\tExternal 8X CD-ROM\tPeripherals and Accessories\n100551\tStandard Mouse\tPeripherals and Accessories\n100555\tStandard Mouse\tPeripherals and Accessories\n100573\tStandard Mouse\tPeripherals and Accessories\n100584\tKeyboard Wrist Rest\tSoftware/Other\n100553\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100563\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100584\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100586\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100576\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100565\tExtension Cable\tElectronics\n100614\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100620\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100617\tMouse Pad\tSoftware/Other\n100587\tStandard Mouse\tPeripherals and Accessories\n100598\tStandard Mouse\tPeripherals and Accessories\n100607\tStandard Mouse\tPeripherals and Accessories\n100620\tStandard Mouse\tPeripherals and Accessories\n100590\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100617\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100601\tExtension Cable\tElectronics\n100607\tExtension Cable\tElectronics\n100617\tExtension Cable\tElectronics\n100624\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100636\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tMouse Pad\tSoftware/Other\n100645\tMouse Pad\tSoftware/Other\n100638\tExternal 8X CD-ROM\tPeripherals and Accessories\n100632\tO/S Documentation Set - English\tSoftware/Other\n100642\tStandard Mouse\tPeripherals and Accessories\n100649\tStandard Mouse\tPeripherals and Accessories\n100642\tKeyboard Wrist Rest\tSoftware/Other\n100631\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100633\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100640\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100664\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100679\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100681\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100672\tMouse Pad\tSoftware/Other\n100675\tExternal 8X CD-ROM\tPeripherals and Accessories\n100662\tO/S Documentation Set - English\tSoftware/Other\n100669\tO/S Documentation Set - English\tSoftware/Other\n100837\tO/S Documentation Set - English\tSoftware/Other\n100840\tStandard Mouse\tPeripherals and Accessories\n100665\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100842\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100679\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100682\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100840\tExtension Cable\tElectronics\n100872\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100874\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100845\tMouse Pad\tSoftware/Other\n100848\tMouse Pad\tSoftware/Other\n100852\tMouse Pad\tSoftware/Other\n100860\tMouse Pad\tSoftware/Other\n100864\tMouse Pad\tSoftware/Other\n100878\tMouse Pad\tSoftware/Other\n100847\tExternal 8X CD-ROM\tPeripherals and Accessories\n100866\tExternal 8X CD-ROM\tPeripherals and Accessories\n100857\tO/S Documentation Set - English\tSoftware/Other\n100856\tStandard Mouse\tPeripherals and Accessories\n100845\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100871\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100858\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100894\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100905\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100881\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100891\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100894\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100880\tMouse Pad\tSoftware/Other\n100896\tExternal 8X CD-ROM\tPeripherals and Accessories\n100885\tStandard Mouse\tPeripherals and Accessories\n100882\tKeyboard Wrist Rest\tSoftware/Other\n100900\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100909\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100880\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100899\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100911\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100880\tExtension Cable\tElectronics\n100894\tExtension Cable\tElectronics\n100929\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100931\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100918\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100929\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100934\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100924\tMouse Pad\tSoftware/Other\n100934\tStandard Mouse\tPeripherals and Accessories\n100944\tStandard Mouse\tPeripherals and Accessories\n100915\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100939\tExtension Cable\tElectronics\n100962\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100692\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100949\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMouse Pad\tSoftware/Other\n100686\tMouse Pad\tSoftware/Other\n100959\tExternal 8X CD-ROM\tPeripherals and Accessories\n100958\tO/S Documentation Set - English\tSoftware/Other\n100945\tStandard Mouse\tPeripherals and Accessories\n100948\tStandard Mouse\tPeripherals and Accessories\n100691\tStandard Mouse\tPeripherals and Accessories\n100955\tKeyboard Wrist Rest\tSoftware/Other\n100945\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100965\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100692\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100946\tExtension Cable\tElectronics\n100950\tExtension Cable\tElectronics\n100959\tExtension Cable\tElectronics\n100728\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100727\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tStandard Mouse\tPeripherals and Accessories\n100721\tStandard Mouse\tPeripherals and Accessories\n100701\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100693\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100710\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100712\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100699\tExtension Cable\tElectronics\n100719\tExtension Cable\tElectronics\n100744\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100751\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100743\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100738\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100736\tMouse Pad\tSoftware/Other\n100753\tMouse Pad\tSoftware/Other\n100740\tExternal 8X CD-ROM\tPeripherals and Accessories\n100742\tO/S Documentation Set - English\tSoftware/Other\n100733\tStandard Mouse\tPeripherals and Accessories\n100741\tStandard Mouse\tPeripherals and Accessories\n100752\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100736\tExtension Cable\tElectronics\n100741\tExtension Cable\tElectronics\n100760\tExtension Cable\tElectronics\n100784\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100776\tMouse Pad\tSoftware/Other\n100781\tExternal 8X CD-ROM\tPeripherals and Accessories\n100782\tExternal 8X CD-ROM\tPeripherals and Accessories\n100764\tO/S Documentation Set - English\tSoftware/Other\n100787\tStandard Mouse\tPeripherals and Accessories\n100785\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100778\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100789\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100795\tExtension Cable\tElectronics\n100809\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100813\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100828\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100833\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100386\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100830\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100808\tMouse Pad\tSoftware/Other\n100827\tExternal 8X CD-ROM\tPeripherals and Accessories\n100820\tStandard Mouse\tPeripherals and Accessories\n100812\tExtension Cable\tElectronics\n100822\tExtension Cable\tElectronics\n100823\tExtension Cable\tElectronics\n100835\tExtension Cable\tElectronics\n100399\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100417\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100411\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100404\tMouse Pad\tSoftware/Other\n100420\tMouse Pad\tSoftware/Other\n100408\tExternal 8X CD-ROM\tPeripherals and Accessories\n100410\tExternal 8X CD-ROM\tPeripherals and Accessories\n100392\tO/S Documentation Set - English\tSoftware/Other\n100406\tStandard Mouse\tPeripherals and Accessories\n100388\tKeyboard Wrist Rest\tSoftware/Other\n100388\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100398\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100415\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100395\tExtension Cable\tElectronics\n100423\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100438\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100439\tMouse Pad\tSoftware/Other\n100441\tStandard Mouse\tPeripherals and Accessories\n100438\tKeyboard Wrist Rest\tSoftware/Other\n100451\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100429\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100435\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100438\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100441\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100476\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100484\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100475\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100487\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100463\tMouse Pad\tSoftware/Other\n100478\tO/S Documentation Set - English\tSoftware/Other\n100458\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100474\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100463\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100474\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tExtension Cable\tElectronics\n100511\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100524\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100527\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100500\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100511\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100493\tMouse Pad\tSoftware/Other\n100504\tMouse Pad\tSoftware/Other\n100520\tExternal 8X CD-ROM\tPeripherals and Accessories\n100505\tO/S Documentation Set - English\tSoftware/Other\n100519\tO/S Documentation Set - English\tSoftware/Other\n100527\tO/S Documentation Set - English\tSoftware/Other\n100494\tStandard Mouse\tPeripherals and Accessories\n100509\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100519\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100521\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100510\tExtension Cable\tElectronics\n100530\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100989\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100982\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100978\tExternal 8X CD-ROM\tPeripherals and Accessories\n100989\tStandard Mouse\tPeripherals and Accessories\n100976\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100989\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100093\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100118\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100122\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100093\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100099\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100109\tMouse Pad\tSoftware/Other\n100090\tExternal 8X CD-ROM\tPeripherals and Accessories\n100094\tO/S Documentation Set - English\tSoftware/Other\n100120\tKeyboard Wrist Rest\tSoftware/Other\n100107\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100123\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100113\tExtension Cable\tElectronics\n100115\tExtension Cable\tElectronics\n100127\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100150\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100129\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100139\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100134\tMouse Pad\tSoftware/Other\n100141\tMouse Pad\tSoftware/Other\n100149\tExternal 8X CD-ROM\tPeripherals and Accessories\n100130\tO/S Documentation Set - English\tSoftware/Other\n100139\tStandard Mouse\tPeripherals and Accessories\n100154\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100141\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100147\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100137\tExtension Cable\tElectronics\n100232\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100245\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100259\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100242\tMouse Pad\tSoftware/Other\n100246\tMouse Pad\tSoftware/Other\n100253\tMouse Pad\tSoftware/Other\n100239\tExternal 8X CD-ROM\tPeripherals and Accessories\n100258\tExternal 8X CD-ROM\tPeripherals and Accessories\n100261\tExternal 8X CD-ROM\tPeripherals and Accessories\n100259\tStandard Mouse\tPeripherals and Accessories\n100258\tKeyboard Wrist Rest\tSoftware/Other\n100259\tKeyboard Wrist Rest\tSoftware/Other\n100232\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100249\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100233\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100158\tExtension Cable\tElectronics\n100246\tExtension Cable\tElectronics\n100264\tExtension Cable\tElectronics\n100296\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100267\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100289\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100294\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100282\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100289\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100281\tMouse Pad\tSoftware/Other\n100281\tExternal 8X CD-ROM\tPeripherals and Accessories\n100282\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tExternal 8X CD-ROM\tPeripherals and Accessories\n100267\tStandard Mouse\tPeripherals and Accessories\n100268\tStandard Mouse\tPeripherals and Accessories\n100288\tKeyboard Wrist Rest\tSoftware/Other\n100293\tKeyboard Wrist Rest\tSoftware/Other\n100277\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100279\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100285\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tExtension Cable\tElectronics\n100336\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100323\tMouse Pad\tSoftware/Other\n100336\tMouse Pad\tSoftware/Other\n100305\tExternal 8X CD-ROM\tPeripherals and Accessories\n100333\tExternal 8X CD-ROM\tPeripherals and Accessories\n100323\tStandard Mouse\tPeripherals and Accessories\n100320\tKeyboard Wrist Rest\tSoftware/Other\n100322\tKeyboard Wrist Rest\tSoftware/Other\n100348\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100364\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100337\tMouse Pad\tSoftware/Other\n100365\tMouse Pad\tSoftware/Other\n100343\tStandard Mouse\tPeripherals and Accessories\n100347\tStandard Mouse\tPeripherals and Accessories\n100359\tStandard Mouse\tPeripherals and Accessories\n100342\tKeyboard Wrist Rest\tSoftware/Other\n100370\tKeyboard Wrist Rest\tSoftware/Other\n100346\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100355\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100362\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100356\tExtension Cable\tElectronics\n100169\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100175\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100374\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100170\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tMouse Pad\tSoftware/Other\n100163\tMouse Pad\tSoftware/Other\n100383\tExternal 8X CD-ROM\tPeripherals and Accessories\n100178\tExternal 8X CD-ROM\tPeripherals and Accessories\n100161\tO/S Documentation Set - English\tSoftware/Other\n100176\tStandard Mouse\tPeripherals and Accessories\n100180\tStandard Mouse\tPeripherals and Accessories\n100181\tStandard Mouse\tPeripherals and Accessories\n100170\tExtension Cable\tElectronics\n100180\tExtension Cable\tElectronics\n100196\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100208\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100189\tMouse Pad\tSoftware/Other\n100199\tExternal 8X CD-ROM\tPeripherals and Accessories\n100189\tStandard Mouse\tPeripherals and Accessories\n100190\tStandard Mouse\tPeripherals and Accessories\n100200\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100204\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100194\tExtension Cable\tElectronics\n100199\tExtension Cable\tElectronics\n100203\tExtension Cable\tElectronics\n100224\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100009\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100011\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100017\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100220\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100014\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100004\tExternal 8X CD-ROM\tPeripherals and Accessories\n100011\tExternal 8X CD-ROM\tPeripherals and Accessories\n100003\tStandard Mouse\tPeripherals and Accessories\n100016\tStandard Mouse\tPeripherals and Accessories\n100001\tKeyboard Wrist Rest\tSoftware/Other\n100226\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100008\tExtension Cable\tElectronics\n100024\tExtension Cable\tElectronics\n100043\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100042\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100066\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100054\tMouse Pad\tSoftware/Other\n100026\tStandard Mouse\tPeripherals and Accessories\n100031\tStandard Mouse\tPeripherals and Accessories\n100051\tStandard Mouse\tPeripherals and Accessories\n100064\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100026\tExtension Cable\tElectronics\n100066\tExtension Cable\tElectronics\n100075\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100083\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100533\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100074\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100532\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100544\tMouse Pad\tSoftware/Other\n100535\tExternal 8X CD-ROM\tPeripherals and Accessories\n100532\tStandard Mouse\tPeripherals and Accessories\n100069\tKeyboard Wrist Rest\tSoftware/Other\n100576\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100565\tMouse Pad\tSoftware/Other\n100568\tMouse Pad\tSoftware/Other\n100564\tExternal 8X CD-ROM\tPeripherals and Accessories\n100585\tExternal 8X CD-ROM\tPeripherals and Accessories\n100552\tO/S Documentation Set - English\tSoftware/Other\n100586\tKeyboard Wrist Rest\tSoftware/Other\n100556\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100569\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100609\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100620\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100617\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100622\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100620\tMouse Pad\tSoftware/Other\n100597\tO/S Documentation Set - English\tSoftware/Other\n100594\tStandard Mouse\tPeripherals and Accessories\n100614\tKeyboard Wrist Rest\tSoftware/Other\n100620\tKeyboard Wrist Rest\tSoftware/Other\n100587\tExtension Cable\tElectronics\n100620\tExtension Cable\tElectronics\n100629\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100655\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100640\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100645\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100656\tMouse Pad\tSoftware/Other\n100626\tExternal 8X CD-ROM\tPeripherals and Accessories\n100627\tExternal 8X CD-ROM\tPeripherals and Accessories\n100643\tExternal 8X CD-ROM\tPeripherals and Accessories\n100651\tExternal 8X CD-ROM\tPeripherals and Accessories\n100660\tExternal 8X CD-ROM\tPeripherals and Accessories\n100650\tO/S Documentation Set - English\tSoftware/Other\n100651\tO/S Documentation Set - English\tSoftware/Other\n100645\tStandard Mouse\tPeripherals and Accessories\n100629\tKeyboard Wrist Rest\tSoftware/Other\n100639\tKeyboard Wrist Rest\tSoftware/Other\n100660\tKeyboard Wrist Rest\tSoftware/Other\n100639\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100644\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100624\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100625\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100634\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100665\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100671\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100676\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100684\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100664\tO/S Documentation Set - English\tSoftware/Other\n100676\tO/S Documentation Set - English\tSoftware/Other\n100842\tO/S Documentation Set - English\tSoftware/Other\n100677\tKeyboard Wrist Rest\tSoftware/Other\n100670\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100684\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100667\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100672\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100873\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100853\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100862\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100857\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100874\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100871\tExternal 8X CD-ROM\tPeripherals and Accessories\n100878\tKeyboard Wrist Rest\tSoftware/Other\n100883\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100911\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100880\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100888\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100910\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100911\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100890\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100904\tExternal 8X CD-ROM\tPeripherals and Accessories\n100906\tExternal 8X CD-ROM\tPeripherals and Accessories\n100883\tStandard Mouse\tPeripherals and Accessories\n100900\tStandard Mouse\tPeripherals and Accessories\n100912\tStandard Mouse\tPeripherals and Accessories\n100889\tKeyboard Wrist Rest\tSoftware/Other\n100885\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100896\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100899\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100891\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100892\tExtension Cable\tElectronics\n100893\tExtension Cable\tElectronics\n100912\tExtension Cable\tElectronics\n100913\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100930\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100931\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100933\tMouse Pad\tSoftware/Other\n100937\tMouse Pad\tSoftware/Other\n100930\tExternal 8X CD-ROM\tPeripherals and Accessories\n100923\tStandard Mouse\tPeripherals and Accessories\n100929\tKeyboard Wrist Rest\tSoftware/Other\n100922\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100928\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100918\tExtension Cable\tElectronics\n100933\tExtension Cable\tElectronics\n100970\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100951\tMouse Pad\tSoftware/Other\n100948\tExternal 8X CD-ROM\tPeripherals and Accessories\n100951\tO/S Documentation Set - English\tSoftware/Other\n100954\tStandard Mouse\tPeripherals and Accessories\n100960\tStandard Mouse\tPeripherals and Accessories\n100963\tStandard Mouse\tPeripherals and Accessories\n100690\tStandard Mouse\tPeripherals and Accessories\n100963\tKeyboard Wrist Rest\tSoftware/Other\n100710\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100729\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100699\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100700\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100721\tMouse Pad\tSoftware/Other\n100695\tExternal 8X CD-ROM\tPeripherals and Accessories\n100715\tExternal 8X CD-ROM\tPeripherals and Accessories\n100728\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tO/S Documentation Set - English\tSoftware/Other\n100694\tStandard Mouse\tPeripherals and Accessories\n100727\tStandard Mouse\tPeripherals and Accessories\n100709\tKeyboard Wrist Rest\tSoftware/Other\n100708\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100729\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100720\tExtension Cable\tElectronics\n100754\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100751\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100754\tMouse Pad\tSoftware/Other\n100748\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100762\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100755\tExtension Cable\tElectronics\n100763\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100770\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100779\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100782\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100769\tExternal 8X CD-ROM\tPeripherals and Accessories\n100793\tExternal 8X CD-ROM\tPeripherals and Accessories\n100796\tO/S Documentation Set - English\tSoftware/Other\n100796\tKeyboard Wrist Rest\tSoftware/Other\n100790\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100795\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100781\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100780\tExtension Cable\tElectronics\n100790\tExtension Cable\tElectronics\n100817\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100830\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100387\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100810\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100827\tMouse Pad\tSoftware/Other\n100830\tMouse Pad\tSoftware/Other\n100828\tExternal 8X CD-ROM\tPeripherals and Accessories\n100823\tStandard Mouse\tPeripherals and Accessories\n100820\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100830\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100809\tExtension Cable\tElectronics\n100394\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100403\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100402\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100417\tO/S Documentation Set - English\tSoftware/Other\n100390\tStandard Mouse\tPeripherals and Accessories\n100393\tStandard Mouse\tPeripherals and Accessories\n100394\tStandard Mouse\tPeripherals and Accessories\n100405\tStandard Mouse\tPeripherals and Accessories\n100413\tKeyboard Wrist Rest\tSoftware/Other\n100442\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100444\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100432\tMouse Pad\tSoftware/Other\n100443\tMouse Pad\tSoftware/Other\n100456\tMouse Pad\tSoftware/Other\n100428\tExternal 8X CD-ROM\tPeripherals and Accessories\n100442\tExternal 8X CD-ROM\tPeripherals and Accessories\n100452\tO/S Documentation Set - English\tSoftware/Other\n100443\tStandard Mouse\tPeripherals and Accessories\n100433\tKeyboard Wrist Rest\tSoftware/Other\n100450\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100453\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100437\tExtension Cable\tElectronics\n100440\tExtension Cable\tElectronics\n100448\tExtension Cable\tElectronics\n100456\tExtension Cable\tElectronics\n100480\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100473\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100490\tMouse Pad\tSoftware/Other\n100460\tExternal 8X CD-ROM\tPeripherals and Accessories\n100472\tExternal 8X CD-ROM\tPeripherals and Accessories\n100465\tKeyboard Wrist Rest\tSoftware/Other\n100477\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100486\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100487\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100459\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100469\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100482\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100484\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100465\tExtension Cable\tElectronics\n100475\tExtension Cable\tElectronics\n100490\tExtension Cable\tElectronics\n100497\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100505\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100512\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100514\tMouse Pad\tSoftware/Other\n100502\tExternal 8X CD-ROM\tPeripherals and Accessories\n100509\tExternal 8X CD-ROM\tPeripherals and Accessories\n100512\tExternal 8X CD-ROM\tPeripherals and Accessories\n100515\tExternal 8X CD-ROM\tPeripherals and Accessories\n100523\tExternal 8X CD-ROM\tPeripherals and Accessories\n100510\tO/S Documentation Set - English\tSoftware/Other\n100493\tStandard Mouse\tPeripherals and Accessories\n100510\tKeyboard Wrist Rest\tSoftware/Other\n100522\tKeyboard Wrist Rest\tSoftware/Other\n100982\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100988\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100530\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100980\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100985\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100991\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100993\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100995\tMouse Pad\tSoftware/Other\n100988\tExternal 8X CD-ROM\tPeripherals and Accessories\n100530\tO/S Documentation Set - English\tSoftware/Other\n100970\tO/S Documentation Set - English\tSoftware/Other\n100998\tO/S Documentation Set - English\tSoftware/Other\n100981\tStandard Mouse\tPeripherals and Accessories\n101000\tKeyboard Wrist Rest\tSoftware/Other\n100530\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100978\tExtension Cable\tElectronics\n100990\tExtension Cable\tElectronics\n100105\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100109\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100091\tMouse Pad\tSoftware/Other\n100113\tMouse Pad\tSoftware/Other\n100120\tExternal 8X CD-ROM\tPeripherals and Accessories\n100109\tStandard Mouse\tPeripherals and Accessories\n100108\tKeyboard Wrist Rest\tSoftware/Other\n100121\tKeyboard Wrist Rest\tSoftware/Other\n100097\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100101\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100113\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100108\tExtension Cable\tElectronics\n100131\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100137\tMouse Pad\tSoftware/Other\n100147\tMouse Pad\tSoftware/Other\n100150\tMouse Pad\tSoftware/Other\n100155\tExternal 8X CD-ROM\tPeripherals and Accessories\n100132\tStandard Mouse\tPeripherals and Accessories\n100138\tStandard Mouse\tPeripherals and Accessories\n100126\tKeyboard Wrist Rest\tSoftware/Other\n100150\tExtension Cable\tElectronics\n100242\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100245\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100247\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100261\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100157\tMouse Pad\tSoftware/Other\n100158\tMouse Pad\tSoftware/Other\n100264\tMouse Pad\tSoftware/Other\n100232\tExternal 8X CD-ROM\tPeripherals and Accessories\n100254\tExternal 8X CD-ROM\tPeripherals and Accessories\n100244\tO/S Documentation Set - English\tSoftware/Other\n100251\tKeyboard Wrist Rest\tSoftware/Other\n100250\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100256\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100234\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100288\tExternal 8X CD-ROM\tPeripherals and Accessories\n100292\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tO/S Documentation Set - English\tSoftware/Other\n100287\tStandard Mouse\tPeripherals and Accessories\n100291\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100292\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100308\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100304\tMouse Pad\tSoftware/Other\n100326\tMouse Pad\tSoftware/Other\n100298\tO/S Documentation Set - English\tSoftware/Other\n100336\tO/S Documentation Set - English\tSoftware/Other\n100329\tStandard Mouse\tPeripherals and Accessories\n100332\tKeyboard Wrist Rest\tSoftware/Other\n100301\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100306\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100335\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100343\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100351\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100352\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100347\tMouse Pad\tSoftware/Other\n100356\tMouse Pad\tSoftware/Other\n100365\tExternal 8X CD-ROM\tPeripherals and Accessories\n100358\tStandard Mouse\tPeripherals and Accessories\n100366\tStandard Mouse\tPeripherals and Accessories\n100347\tExtension Cable\tElectronics\n100378\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100166\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100171\tMouse Pad\tSoftware/Other\n100181\tMouse Pad\tSoftware/Other\n100177\tExternal 8X CD-ROM\tPeripherals and Accessories\n100382\tStandard Mouse\tPeripherals and Accessories\n100163\tStandard Mouse\tPeripherals and Accessories\n100375\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100177\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100214\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100187\tExternal 8X CD-ROM\tPeripherals and Accessories\n100211\tExternal 8X CD-ROM\tPeripherals and Accessories\n100194\tStandard Mouse\tPeripherals and Accessories\n100201\tStandard Mouse\tPeripherals and Accessories\n100187\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100201\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100210\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100215\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100185\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100213\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100001\tY Box\tElectronics\n100010\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100018\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100019\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100225\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100218\tMouse Pad\tSoftware/Other\n100003\tMouse Pad\tSoftware/Other\n100218\tExternal 8X CD-ROM\tPeripherals and Accessories\n100225\tExternal 8X CD-ROM\tPeripherals and Accessories\n100226\tO/S Documentation Set - English\tSoftware/Other\n100009\tStandard Mouse\tPeripherals and Accessories\n100226\tKeyboard Wrist Rest\tSoftware/Other\n100002\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100220\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100003\tExtension Cable\tElectronics\n100016\tExtension Cable\tElectronics\n100052\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100057\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100049\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100061\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100062\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100027\tExternal 8X CD-ROM\tPeripherals and Accessories\n100033\tExternal 8X CD-ROM\tPeripherals and Accessories\n100035\tO/S Documentation Set - English\tSoftware/Other\n100027\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100029\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100048\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100060\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100055\tExtension Cable\tElectronics\n100535\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100069\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100078\tMouse Pad\tSoftware/Other\n100541\tMouse Pad\tSoftware/Other\n100534\tExternal 8X CD-ROM\tPeripherals and Accessories\n100538\tO/S Documentation Set - English\tSoftware/Other\n100088\tStandard Mouse\tPeripherals and Accessories\n100538\tStandard Mouse\tPeripherals and Accessories\n100544\tStandard Mouse\tPeripherals and Accessories\n100066\tKeyboard Wrist Rest\tSoftware/Other\n100076\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100536\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100074\tExtension Cable\tElectronics\n100080\tExtension Cable\tElectronics\n100562\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100563\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100550\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100561\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100546\tExternal 8X CD-ROM\tPeripherals and Accessories\n100548\tExternal 8X CD-ROM\tPeripherals and Accessories\n100586\tExternal 8X CD-ROM\tPeripherals and Accessories\n100574\tO/S Documentation Set - English\tSoftware/Other\n100553\tStandard Mouse\tPeripherals and Accessories\n100558\tStandard Mouse\tPeripherals and Accessories\n100565\tStandard Mouse\tPeripherals and Accessories\n100572\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100558\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100572\tExtension Cable\tElectronics\n100588\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100613\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100606\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100589\tExternal 8X CD-ROM\tPeripherals and Accessories\n100605\tStandard Mouse\tPeripherals and Accessories\n100614\tStandard Mouse\tPeripherals and Accessories\n100592\tKeyboard Wrist Rest\tSoftware/Other\n100612\tKeyboard Wrist Rest\tSoftware/Other\n100605\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tExtension Cable\tElectronics\n100614\tExtension Cable\tElectronics\n100638\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100648\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100624\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100632\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100639\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100629\tMouse Pad\tSoftware/Other\n100642\tExternal 8X CD-ROM\tPeripherals and Accessories\n100661\tExternal 8X CD-ROM\tPeripherals and Accessories\n100656\tStandard Mouse\tPeripherals and Accessories\n100626\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100835\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100663\tMouse Pad\tSoftware/Other\n100663\tExternal 8X CD-ROM\tPeripherals and Accessories\n100668\tExternal 8X CD-ROM\tPeripherals and Accessories\n100837\tExternal 8X CD-ROM\tPeripherals and Accessories\n100841\tExternal 8X CD-ROM\tPeripherals and Accessories\n100843\tExternal 8X CD-ROM\tPeripherals and Accessories\n100684\tO/S Documentation Set - English\tSoftware/Other\n100838\tO/S Documentation Set - English\tSoftware/Other\n100667\tKeyboard Wrist Rest\tSoftware/Other\n100840\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100671\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100854\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100867\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100856\tO/S Documentation Set - English\tSoftware/Other\n100870\tO/S Documentation Set - English\tSoftware/Other\n100879\tO/S Documentation Set - English\tSoftware/Other\n100858\tStandard Mouse\tPeripherals and Accessories\n100864\tStandard Mouse\tPeripherals and Accessories\n100847\tKeyboard Wrist Rest\tSoftware/Other\n100856\tKeyboard Wrist Rest\tSoftware/Other\n100862\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100849\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100851\tExtension Cable\tElectronics\n100856\tExtension Cable\tElectronics\n100858\tExtension Cable\tElectronics\n100865\tExtension Cable\tElectronics\n100873\tExtension Cable\tElectronics\n100874\tExtension Cable\tElectronics\n100879\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100912\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100882\tMouse Pad\tSoftware/Other\n100883\tMouse Pad\tSoftware/Other\n100887\tMouse Pad\tSoftware/Other\n100894\tMouse Pad\tSoftware/Other\n100910\tMouse Pad\tSoftware/Other\n100896\tO/S Documentation Set - English\tSoftware/Other\n100898\tO/S Documentation Set - English\tSoftware/Other\n100900\tO/S Documentation Set - English\tSoftware/Other\n100911\tO/S Documentation Set - English\tSoftware/Other\n100899\tStandard Mouse\tPeripherals and Accessories\n100904\tStandard Mouse\tPeripherals and Accessories\n100910\tStandard Mouse\tPeripherals and Accessories\n100902\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100885\tExtension Cable\tElectronics\n100909\tExtension Cable\tElectronics\n100918\tMouse Pad\tSoftware/Other\n100924\tExternal 8X CD-ROM\tPeripherals and Accessories\n100924\tStandard Mouse\tPeripherals and Accessories\n100939\tStandard Mouse\tPeripherals and Accessories\n100913\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100931\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100943\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100969\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100691\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100690\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100966\tMouse Pad\tSoftware/Other\n100684\tMouse Pad\tSoftware/Other\n100689\tExternal 8X CD-ROM\tPeripherals and Accessories\n100945\tO/S Documentation Set - English\tSoftware/Other\n100953\tO/S Documentation Set - English\tSoftware/Other\n100951\tStandard Mouse\tPeripherals and Accessories\n100688\tKeyboard Wrist Rest\tSoftware/Other\n100960\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100947\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tExtension Cable\tElectronics\n100695\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100703\tMouse Pad\tSoftware/Other\n100725\tMouse Pad\tSoftware/Other\n100711\tO/S Documentation Set - English\tSoftware/Other\n100707\tStandard Mouse\tPeripherals and Accessories\n100714\tStandard Mouse\tPeripherals and Accessories\n100697\tKeyboard Wrist Rest\tSoftware/Other\n100716\tKeyboard Wrist Rest\tSoftware/Other\n100705\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100706\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100730\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100749\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100750\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100760\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100761\tExternal 8X CD-ROM\tPeripherals and Accessories\n100738\tStandard Mouse\tPeripherals and Accessories\n100753\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100756\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100737\tExtension Cable\tElectronics\n100752\tExtension Cable\tElectronics\n100799\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100781\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100783\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100793\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100792\tMouse Pad\tSoftware/Other\n100768\tExternal 8X CD-ROM\tPeripherals and Accessories\n100771\tExternal 8X CD-ROM\tPeripherals and Accessories\n100769\tO/S Documentation Set - English\tSoftware/Other\n100792\tStandard Mouse\tPeripherals and Accessories\n100788\tKeyboard Wrist Rest\tSoftware/Other\n100800\tKeyboard Wrist Rest\tSoftware/Other\n100793\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100796\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100792\tExtension Cable\tElectronics\n100826\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100818\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100819\tExternal 8X CD-ROM\tPeripherals and Accessories\n100805\tO/S Documentation Set - English\tSoftware/Other\n100810\tO/S Documentation Set - English\tSoftware/Other\n100819\tStandard Mouse\tPeripherals and Accessories\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_-861448844","id":"20200915-183827_286335743","dateCreated":"2019-07-24T14:17:42+0000","dateStarted":"2020-09-15T23:12:45+0000","dateFinished":"2020-09-15T23:12:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Check the distribution of PROD_CATEGORY from SALES_TRANS_CUST view ","text":"%sql\n\n-- Click on the bar chart icon and expand settings. Draft PROD_CATEGORY to Keys, \n-- and CUST_ID to Values and select Count. There are no groups.\n\nSELECT * FROM SALES_TRANS_CUST;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:59+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":254,"optionOpen":false,"setting":{"pieChart":{},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"PROD_CATEGORY","index":2,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROD_NAME\tPROD_CATEGORY\n100091\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100113\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100114\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100096\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100096\tMouse Pad\tSoftware/Other\n100100\tExternal 8X CD-ROM\tPeripherals and Accessories\n100099\tO/S Documentation Set - English\tSoftware/Other\n100099\tStandard Mouse\tPeripherals and Accessories\n100105\tStandard Mouse\tPeripherals and Accessories\n100096\tKeyboard Wrist Rest\tSoftware/Other\n100097\tKeyboard Wrist Rest\tSoftware/Other\n100112\tExtension Cable\tElectronics\n100122\tExtension Cable\tElectronics\n100138\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100144\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100156\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100132\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100124\tMouse Pad\tSoftware/Other\n100125\tMouse Pad\tSoftware/Other\n100128\tExternal 8X CD-ROM\tPeripherals and Accessories\n100147\tExternal 8X CD-ROM\tPeripherals and Accessories\n100125\tStandard Mouse\tPeripherals and Accessories\n100133\tKeyboard Wrist Rest\tSoftware/Other\n100155\tKeyboard Wrist Rest\tSoftware/Other\n100124\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100128\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100151\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100125\tExtension Cable\tElectronics\n100131\tExtension Cable\tElectronics\n100139\tExtension Cable\tElectronics\n100154\tExtension Cable\tElectronics\n100232\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100259\tMouse Pad\tSoftware/Other\n100262\tMouse Pad\tSoftware/Other\n100242\tExternal 8X CD-ROM\tPeripherals and Accessories\n100156\tO/S Documentation Set - English\tSoftware/Other\n100245\tO/S Documentation Set - English\tSoftware/Other\n100263\tO/S Documentation Set - English\tSoftware/Other\n100160\tStandard Mouse\tPeripherals and Accessories\n100264\tStandard Mouse\tPeripherals and Accessories\n100232\tKeyboard Wrist Rest\tSoftware/Other\n100234\tKeyboard Wrist Rest\tSoftware/Other\n100235\tKeyboard Wrist Rest\tSoftware/Other\n100230\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100231\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100158\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100240\tExtension Cable\tElectronics\n100268\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100292\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100274\tMouse Pad\tSoftware/Other\n100279\tMouse Pad\tSoftware/Other\n100268\tExternal 8X CD-ROM\tPeripherals and Accessories\n100290\tKeyboard Wrist Rest\tSoftware/Other\n100271\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100273\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100286\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100288\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100282\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100269\tExtension Cable\tElectronics\n100276\tExtension Cable\tElectronics\n100300\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100317\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100318\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100300\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100301\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100302\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100319\tMouse Pad\tSoftware/Other\n100317\tO/S Documentation Set - English\tSoftware/Other\n100328\tStandard Mouse\tPeripherals and Accessories\n100336\tKeyboard Wrist Rest\tSoftware/Other\n100326\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100331\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100308\tExtension Cable\tElectronics\n100319\tExtension Cable\tElectronics\n100367\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100359\tMouse Pad\tSoftware/Other\n100361\tMouse Pad\tSoftware/Other\n100369\tExternal 8X CD-ROM\tPeripherals and Accessories\n100356\tO/S Documentation Set - English\tSoftware/Other\n100357\tO/S Documentation Set - English\tSoftware/Other\n100342\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100343\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100351\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100358\tExtension Cable\tElectronics\n100368\tExtension Cable\tElectronics\n100375\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100384\tStandard Mouse\tPeripherals and Accessories\n100168\tStandard Mouse\tPeripherals and Accessories\n100180\tKeyboard Wrist Rest\tSoftware/Other\n100163\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100163\tExtension Cable\tElectronics\n100175\tExtension Cable\tElectronics\n100181\tExtension Cable\tElectronics\n100184\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100190\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100214\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100185\tMouse Pad\tSoftware/Other\n100202\tMouse Pad\tSoftware/Other\n100204\tMouse Pad\tSoftware/Other\n100198\tExternal 8X CD-ROM\tPeripherals and Accessories\n100209\tExternal 8X CD-ROM\tPeripherals and Accessories\n100196\tStandard Mouse\tPeripherals and Accessories\n100204\tStandard Mouse\tPeripherals and Accessories\n100185\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100189\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100205\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100207\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100203\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100212\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100214\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100215\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100191\tExtension Cable\tElectronics\n100205\tExtension Cable\tElectronics\n100013\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100021\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100015\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100224\tStandard Mouse\tPeripherals and Accessories\n100218\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100222\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100219\tExtension Cable\tElectronics\n100059\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100044\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100024\tMouse Pad\tSoftware/Other\n100058\tMouse Pad\tSoftware/Other\n100031\tExternal 8X CD-ROM\tPeripherals and Accessories\n100059\tExternal 8X CD-ROM\tPeripherals and Accessories\n100041\tO/S Documentation Set - English\tSoftware/Other\n100053\tO/S Documentation Set - English\tSoftware/Other\n100054\tStandard Mouse\tPeripherals and Accessories\n100039\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100059\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100025\tExtension Cable\tElectronics\n100052\tExtension Cable\tElectronics\n100071\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100071\tExternal 8X CD-ROM\tPeripherals and Accessories\n100074\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100538\tExtension Cable\tElectronics\n100586\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100560\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100584\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100547\tMouse Pad\tSoftware/Other\n100547\tExternal 8X CD-ROM\tPeripherals and Accessories\n100551\tStandard Mouse\tPeripherals and Accessories\n100555\tStandard Mouse\tPeripherals and Accessories\n100573\tStandard Mouse\tPeripherals and Accessories\n100584\tKeyboard Wrist Rest\tSoftware/Other\n100553\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100563\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100584\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100586\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100576\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100565\tExtension Cable\tElectronics\n100614\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100620\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100617\tMouse Pad\tSoftware/Other\n100587\tStandard Mouse\tPeripherals and Accessories\n100598\tStandard Mouse\tPeripherals and Accessories\n100607\tStandard Mouse\tPeripherals and Accessories\n100620\tStandard Mouse\tPeripherals and Accessories\n100590\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100617\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100601\tExtension Cable\tElectronics\n100607\tExtension Cable\tElectronics\n100617\tExtension Cable\tElectronics\n100624\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100636\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tMouse Pad\tSoftware/Other\n100645\tMouse Pad\tSoftware/Other\n100638\tExternal 8X CD-ROM\tPeripherals and Accessories\n100632\tO/S Documentation Set - English\tSoftware/Other\n100642\tStandard Mouse\tPeripherals and Accessories\n100649\tStandard Mouse\tPeripherals and Accessories\n100642\tKeyboard Wrist Rest\tSoftware/Other\n100631\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100633\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100640\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100664\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100679\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100681\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100672\tMouse Pad\tSoftware/Other\n100675\tExternal 8X CD-ROM\tPeripherals and Accessories\n100662\tO/S Documentation Set - English\tSoftware/Other\n100669\tO/S Documentation Set - English\tSoftware/Other\n100837\tO/S Documentation Set - English\tSoftware/Other\n100840\tStandard Mouse\tPeripherals and Accessories\n100665\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100842\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100679\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100682\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100840\tExtension Cable\tElectronics\n100872\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100874\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100845\tMouse Pad\tSoftware/Other\n100848\tMouse Pad\tSoftware/Other\n100852\tMouse Pad\tSoftware/Other\n100860\tMouse Pad\tSoftware/Other\n100864\tMouse Pad\tSoftware/Other\n100878\tMouse Pad\tSoftware/Other\n100847\tExternal 8X CD-ROM\tPeripherals and Accessories\n100866\tExternal 8X CD-ROM\tPeripherals and Accessories\n100857\tO/S Documentation Set - English\tSoftware/Other\n100856\tStandard Mouse\tPeripherals and Accessories\n100845\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100871\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100858\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100894\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100905\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100881\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100891\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100894\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100880\tMouse Pad\tSoftware/Other\n100896\tExternal 8X CD-ROM\tPeripherals and Accessories\n100885\tStandard Mouse\tPeripherals and Accessories\n100882\tKeyboard Wrist Rest\tSoftware/Other\n100900\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100909\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100880\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100899\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100911\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100880\tExtension Cable\tElectronics\n100894\tExtension Cable\tElectronics\n100929\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100931\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100918\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100929\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100934\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100924\tMouse Pad\tSoftware/Other\n100934\tStandard Mouse\tPeripherals and Accessories\n100944\tStandard Mouse\tPeripherals and Accessories\n100915\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100939\tExtension Cable\tElectronics\n100962\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100692\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100949\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100961\tMouse Pad\tSoftware/Other\n100686\tMouse Pad\tSoftware/Other\n100959\tExternal 8X CD-ROM\tPeripherals and Accessories\n100958\tO/S Documentation Set - English\tSoftware/Other\n100945\tStandard Mouse\tPeripherals and Accessories\n100948\tStandard Mouse\tPeripherals and Accessories\n100691\tStandard Mouse\tPeripherals and Accessories\n100955\tKeyboard Wrist Rest\tSoftware/Other\n100945\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100965\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100692\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100946\tExtension Cable\tElectronics\n100950\tExtension Cable\tElectronics\n100959\tExtension Cable\tElectronics\n100728\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100727\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tStandard Mouse\tPeripherals and Accessories\n100721\tStandard Mouse\tPeripherals and Accessories\n100701\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100693\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100710\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100712\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100699\tExtension Cable\tElectronics\n100719\tExtension Cable\tElectronics\n100744\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100751\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100743\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100738\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100736\tMouse Pad\tSoftware/Other\n100753\tMouse Pad\tSoftware/Other\n100740\tExternal 8X CD-ROM\tPeripherals and Accessories\n100742\tO/S Documentation Set - English\tSoftware/Other\n100733\tStandard Mouse\tPeripherals and Accessories\n100741\tStandard Mouse\tPeripherals and Accessories\n100752\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100736\tExtension Cable\tElectronics\n100741\tExtension Cable\tElectronics\n100760\tExtension Cable\tElectronics\n100784\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100776\tMouse Pad\tSoftware/Other\n100781\tExternal 8X CD-ROM\tPeripherals and Accessories\n100782\tExternal 8X CD-ROM\tPeripherals and Accessories\n100764\tO/S Documentation Set - English\tSoftware/Other\n100787\tStandard Mouse\tPeripherals and Accessories\n100785\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100778\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100789\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100795\tExtension Cable\tElectronics\n100809\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100813\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100828\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100833\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100386\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100830\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100808\tMouse Pad\tSoftware/Other\n100827\tExternal 8X CD-ROM\tPeripherals and Accessories\n100820\tStandard Mouse\tPeripherals and Accessories\n100812\tExtension Cable\tElectronics\n100822\tExtension Cable\tElectronics\n100823\tExtension Cable\tElectronics\n100835\tExtension Cable\tElectronics\n100399\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100417\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100411\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100404\tMouse Pad\tSoftware/Other\n100420\tMouse Pad\tSoftware/Other\n100408\tExternal 8X CD-ROM\tPeripherals and Accessories\n100410\tExternal 8X CD-ROM\tPeripherals and Accessories\n100392\tO/S Documentation Set - English\tSoftware/Other\n100406\tStandard Mouse\tPeripherals and Accessories\n100388\tKeyboard Wrist Rest\tSoftware/Other\n100388\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100398\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100415\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100395\tExtension Cable\tElectronics\n100423\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100438\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100439\tMouse Pad\tSoftware/Other\n100441\tStandard Mouse\tPeripherals and Accessories\n100438\tKeyboard Wrist Rest\tSoftware/Other\n100451\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100429\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100435\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100438\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100441\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100476\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100484\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100475\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100487\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100463\tMouse Pad\tSoftware/Other\n100478\tO/S Documentation Set - English\tSoftware/Other\n100458\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100474\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100463\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100474\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100467\tExtension Cable\tElectronics\n100511\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100524\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100527\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100500\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100511\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100493\tMouse Pad\tSoftware/Other\n100504\tMouse Pad\tSoftware/Other\n100520\tExternal 8X CD-ROM\tPeripherals and Accessories\n100505\tO/S Documentation Set - English\tSoftware/Other\n100519\tO/S Documentation Set - English\tSoftware/Other\n100527\tO/S Documentation Set - English\tSoftware/Other\n100494\tStandard Mouse\tPeripherals and Accessories\n100509\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100519\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100521\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100510\tExtension Cable\tElectronics\n100530\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100989\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100975\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100982\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100978\tExternal 8X CD-ROM\tPeripherals and Accessories\n100989\tStandard Mouse\tPeripherals and Accessories\n100976\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100989\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100093\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100118\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100122\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100093\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100099\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100109\tMouse Pad\tSoftware/Other\n100090\tExternal 8X CD-ROM\tPeripherals and Accessories\n100094\tO/S Documentation Set - English\tSoftware/Other\n100120\tKeyboard Wrist Rest\tSoftware/Other\n100107\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100123\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100113\tExtension Cable\tElectronics\n100115\tExtension Cable\tElectronics\n100127\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100150\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100129\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100139\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100134\tMouse Pad\tSoftware/Other\n100141\tMouse Pad\tSoftware/Other\n100149\tExternal 8X CD-ROM\tPeripherals and Accessories\n100130\tO/S Documentation Set - English\tSoftware/Other\n100139\tStandard Mouse\tPeripherals and Accessories\n100154\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100141\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100147\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100137\tExtension Cable\tElectronics\n100232\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100245\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100259\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100242\tMouse Pad\tSoftware/Other\n100246\tMouse Pad\tSoftware/Other\n100253\tMouse Pad\tSoftware/Other\n100239\tExternal 8X CD-ROM\tPeripherals and Accessories\n100258\tExternal 8X CD-ROM\tPeripherals and Accessories\n100261\tExternal 8X CD-ROM\tPeripherals and Accessories\n100259\tStandard Mouse\tPeripherals and Accessories\n100258\tKeyboard Wrist Rest\tSoftware/Other\n100259\tKeyboard Wrist Rest\tSoftware/Other\n100232\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100249\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100233\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100158\tExtension Cable\tElectronics\n100246\tExtension Cable\tElectronics\n100264\tExtension Cable\tElectronics\n100296\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100267\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100289\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100294\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100282\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100289\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100281\tMouse Pad\tSoftware/Other\n100281\tExternal 8X CD-ROM\tPeripherals and Accessories\n100282\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tExternal 8X CD-ROM\tPeripherals and Accessories\n100267\tStandard Mouse\tPeripherals and Accessories\n100268\tStandard Mouse\tPeripherals and Accessories\n100288\tKeyboard Wrist Rest\tSoftware/Other\n100293\tKeyboard Wrist Rest\tSoftware/Other\n100277\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100279\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100285\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100293\tExtension Cable\tElectronics\n100336\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100323\tMouse Pad\tSoftware/Other\n100336\tMouse Pad\tSoftware/Other\n100305\tExternal 8X CD-ROM\tPeripherals and Accessories\n100333\tExternal 8X CD-ROM\tPeripherals and Accessories\n100323\tStandard Mouse\tPeripherals and Accessories\n100320\tKeyboard Wrist Rest\tSoftware/Other\n100322\tKeyboard Wrist Rest\tSoftware/Other\n100348\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100364\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100337\tMouse Pad\tSoftware/Other\n100365\tMouse Pad\tSoftware/Other\n100343\tStandard Mouse\tPeripherals and Accessories\n100347\tStandard Mouse\tPeripherals and Accessories\n100359\tStandard Mouse\tPeripherals and Accessories\n100342\tKeyboard Wrist Rest\tSoftware/Other\n100370\tKeyboard Wrist Rest\tSoftware/Other\n100346\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100355\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100362\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100356\tExtension Cable\tElectronics\n100169\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100175\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100374\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100170\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100161\tMouse Pad\tSoftware/Other\n100163\tMouse Pad\tSoftware/Other\n100383\tExternal 8X CD-ROM\tPeripherals and Accessories\n100178\tExternal 8X CD-ROM\tPeripherals and Accessories\n100161\tO/S Documentation Set - English\tSoftware/Other\n100176\tStandard Mouse\tPeripherals and Accessories\n100180\tStandard Mouse\tPeripherals and Accessories\n100181\tStandard Mouse\tPeripherals and Accessories\n100170\tExtension Cable\tElectronics\n100180\tExtension Cable\tElectronics\n100196\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100208\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100189\tMouse Pad\tSoftware/Other\n100199\tExternal 8X CD-ROM\tPeripherals and Accessories\n100189\tStandard Mouse\tPeripherals and Accessories\n100190\tStandard Mouse\tPeripherals and Accessories\n100200\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100204\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100194\tExtension Cable\tElectronics\n100199\tExtension Cable\tElectronics\n100203\tExtension Cable\tElectronics\n100224\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100009\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100011\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100017\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100220\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100014\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100004\tExternal 8X CD-ROM\tPeripherals and Accessories\n100011\tExternal 8X CD-ROM\tPeripherals and Accessories\n100003\tStandard Mouse\tPeripherals and Accessories\n100016\tStandard Mouse\tPeripherals and Accessories\n100001\tKeyboard Wrist Rest\tSoftware/Other\n100226\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100008\tExtension Cable\tElectronics\n100024\tExtension Cable\tElectronics\n100043\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100042\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100066\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100054\tMouse Pad\tSoftware/Other\n100026\tStandard Mouse\tPeripherals and Accessories\n100031\tStandard Mouse\tPeripherals and Accessories\n100051\tStandard Mouse\tPeripherals and Accessories\n100064\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100026\tExtension Cable\tElectronics\n100066\tExtension Cable\tElectronics\n100075\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100083\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100533\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100074\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100532\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100544\tMouse Pad\tSoftware/Other\n100535\tExternal 8X CD-ROM\tPeripherals and Accessories\n100532\tStandard Mouse\tPeripherals and Accessories\n100069\tKeyboard Wrist Rest\tSoftware/Other\n100576\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100565\tMouse Pad\tSoftware/Other\n100568\tMouse Pad\tSoftware/Other\n100564\tExternal 8X CD-ROM\tPeripherals and Accessories\n100585\tExternal 8X CD-ROM\tPeripherals and Accessories\n100552\tO/S Documentation Set - English\tSoftware/Other\n100586\tKeyboard Wrist Rest\tSoftware/Other\n100556\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100569\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100604\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100609\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100620\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100617\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100622\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100620\tMouse Pad\tSoftware/Other\n100597\tO/S Documentation Set - English\tSoftware/Other\n100594\tStandard Mouse\tPeripherals and Accessories\n100614\tKeyboard Wrist Rest\tSoftware/Other\n100620\tKeyboard Wrist Rest\tSoftware/Other\n100587\tExtension Cable\tElectronics\n100620\tExtension Cable\tElectronics\n100629\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100655\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100630\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100640\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100645\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100656\tMouse Pad\tSoftware/Other\n100626\tExternal 8X CD-ROM\tPeripherals and Accessories\n100627\tExternal 8X CD-ROM\tPeripherals and Accessories\n100643\tExternal 8X CD-ROM\tPeripherals and Accessories\n100651\tExternal 8X CD-ROM\tPeripherals and Accessories\n100660\tExternal 8X CD-ROM\tPeripherals and Accessories\n100650\tO/S Documentation Set - English\tSoftware/Other\n100651\tO/S Documentation Set - English\tSoftware/Other\n100645\tStandard Mouse\tPeripherals and Accessories\n100629\tKeyboard Wrist Rest\tSoftware/Other\n100639\tKeyboard Wrist Rest\tSoftware/Other\n100660\tKeyboard Wrist Rest\tSoftware/Other\n100639\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100644\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100624\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100625\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100634\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100665\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100671\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100676\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100684\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100664\tO/S Documentation Set - English\tSoftware/Other\n100676\tO/S Documentation Set - English\tSoftware/Other\n100842\tO/S Documentation Set - English\tSoftware/Other\n100677\tKeyboard Wrist Rest\tSoftware/Other\n100670\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100684\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100662\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100667\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100672\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100873\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100853\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100862\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100857\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100874\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100871\tExternal 8X CD-ROM\tPeripherals and Accessories\n100878\tKeyboard Wrist Rest\tSoftware/Other\n100883\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100911\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100880\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100888\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100910\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100911\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100890\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100904\tExternal 8X CD-ROM\tPeripherals and Accessories\n100906\tExternal 8X CD-ROM\tPeripherals and Accessories\n100883\tStandard Mouse\tPeripherals and Accessories\n100900\tStandard Mouse\tPeripherals and Accessories\n100912\tStandard Mouse\tPeripherals and Accessories\n100889\tKeyboard Wrist Rest\tSoftware/Other\n100885\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100896\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100899\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100891\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100892\tExtension Cable\tElectronics\n100893\tExtension Cable\tElectronics\n100912\tExtension Cable\tElectronics\n100913\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100930\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100931\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100933\tMouse Pad\tSoftware/Other\n100937\tMouse Pad\tSoftware/Other\n100930\tExternal 8X CD-ROM\tPeripherals and Accessories\n100923\tStandard Mouse\tPeripherals and Accessories\n100929\tKeyboard Wrist Rest\tSoftware/Other\n100922\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100928\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100918\tExtension Cable\tElectronics\n100933\tExtension Cable\tElectronics\n100970\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100690\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100951\tMouse Pad\tSoftware/Other\n100948\tExternal 8X CD-ROM\tPeripherals and Accessories\n100951\tO/S Documentation Set - English\tSoftware/Other\n100954\tStandard Mouse\tPeripherals and Accessories\n100960\tStandard Mouse\tPeripherals and Accessories\n100963\tStandard Mouse\tPeripherals and Accessories\n100690\tStandard Mouse\tPeripherals and Accessories\n100963\tKeyboard Wrist Rest\tSoftware/Other\n100710\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100729\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100699\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100700\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100721\tMouse Pad\tSoftware/Other\n100695\tExternal 8X CD-ROM\tPeripherals and Accessories\n100715\tExternal 8X CD-ROM\tPeripherals and Accessories\n100728\tExternal 8X CD-ROM\tPeripherals and Accessories\n100693\tO/S Documentation Set - English\tSoftware/Other\n100694\tStandard Mouse\tPeripherals and Accessories\n100727\tStandard Mouse\tPeripherals and Accessories\n100709\tKeyboard Wrist Rest\tSoftware/Other\n100708\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100729\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100720\tExtension Cable\tElectronics\n100754\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100751\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100754\tMouse Pad\tSoftware/Other\n100748\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100762\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100755\tExtension Cable\tElectronics\n100763\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100770\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100779\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100782\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100769\tExternal 8X CD-ROM\tPeripherals and Accessories\n100793\tExternal 8X CD-ROM\tPeripherals and Accessories\n100796\tO/S Documentation Set - English\tSoftware/Other\n100796\tKeyboard Wrist Rest\tSoftware/Other\n100790\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100795\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100781\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100780\tExtension Cable\tElectronics\n100790\tExtension Cable\tElectronics\n100817\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100830\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100387\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100810\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100827\tMouse Pad\tSoftware/Other\n100830\tMouse Pad\tSoftware/Other\n100828\tExternal 8X CD-ROM\tPeripherals and Accessories\n100823\tStandard Mouse\tPeripherals and Accessories\n100820\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100830\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100809\tExtension Cable\tElectronics\n100394\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100403\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100402\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100417\tO/S Documentation Set - English\tSoftware/Other\n100390\tStandard Mouse\tPeripherals and Accessories\n100393\tStandard Mouse\tPeripherals and Accessories\n100394\tStandard Mouse\tPeripherals and Accessories\n100405\tStandard Mouse\tPeripherals and Accessories\n100413\tKeyboard Wrist Rest\tSoftware/Other\n100442\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100456\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100444\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100432\tMouse Pad\tSoftware/Other\n100443\tMouse Pad\tSoftware/Other\n100456\tMouse Pad\tSoftware/Other\n100428\tExternal 8X CD-ROM\tPeripherals and Accessories\n100442\tExternal 8X CD-ROM\tPeripherals and Accessories\n100452\tO/S Documentation Set - English\tSoftware/Other\n100443\tStandard Mouse\tPeripherals and Accessories\n100433\tKeyboard Wrist Rest\tSoftware/Other\n100450\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100453\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100437\tExtension Cable\tElectronics\n100440\tExtension Cable\tElectronics\n100448\tExtension Cable\tElectronics\n100456\tExtension Cable\tElectronics\n100480\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100473\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100490\tMouse Pad\tSoftware/Other\n100460\tExternal 8X CD-ROM\tPeripherals and Accessories\n100472\tExternal 8X CD-ROM\tPeripherals and Accessories\n100465\tKeyboard Wrist Rest\tSoftware/Other\n100477\tCD-RW, High Speed Pack of 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Accessories\n101000\tKeyboard Wrist Rest\tSoftware/Other\n100530\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100978\tExtension Cable\tElectronics\n100990\tExtension Cable\tElectronics\n100105\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100109\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100091\tMouse Pad\tSoftware/Other\n100113\tMouse Pad\tSoftware/Other\n100120\tExternal 8X CD-ROM\tPeripherals and Accessories\n100109\tStandard Mouse\tPeripherals and Accessories\n100108\tKeyboard Wrist Rest\tSoftware/Other\n100121\tKeyboard Wrist Rest\tSoftware/Other\n100097\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100101\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100113\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100108\tExtension Cable\tElectronics\n100131\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100137\tMouse Pad\tSoftware/Other\n100147\tMouse Pad\tSoftware/Other\n100150\tMouse 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Speed Pack of 5\tSoftware/Other\n100234\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100288\tExternal 8X CD-ROM\tPeripherals and Accessories\n100292\tExternal 8X CD-ROM\tPeripherals and Accessories\n100291\tO/S Documentation Set - English\tSoftware/Other\n100287\tStandard Mouse\tPeripherals and Accessories\n100291\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100292\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100308\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100304\tMouse Pad\tSoftware/Other\n100326\tMouse Pad\tSoftware/Other\n100298\tO/S Documentation Set - English\tSoftware/Other\n100336\tO/S Documentation Set - English\tSoftware/Other\n100329\tStandard Mouse\tPeripherals and Accessories\n100332\tKeyboard Wrist Rest\tSoftware/Other\n100301\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100306\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100335\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100343\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100351\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100362\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100352\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100347\tMouse Pad\tSoftware/Other\n100356\tMouse Pad\tSoftware/Other\n100365\tExternal 8X CD-ROM\tPeripherals and Accessories\n100358\tStandard Mouse\tPeripherals and Accessories\n100366\tStandard Mouse\tPeripherals and Accessories\n100347\tExtension Cable\tElectronics\n100378\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100166\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100171\tMouse Pad\tSoftware/Other\n100181\tMouse Pad\tSoftware/Other\n100177\tExternal 8X CD-ROM\tPeripherals and Accessories\n100382\tStandard Mouse\tPeripherals and Accessories\n100163\tStandard Mouse\tPeripherals and Accessories\n100375\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100177\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100214\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100187\tExternal 8X CD-ROM\tPeripherals and Accessories\n100211\tExternal 8X CD-ROM\tPeripherals and Accessories\n100194\tStandard Mouse\tPeripherals and Accessories\n100201\tStandard Mouse\tPeripherals and Accessories\n100187\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100196\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100201\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100210\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100215\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100185\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100213\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100001\tY Box\tElectronics\n100010\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100018\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100019\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100225\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100218\tMouse Pad\tSoftware/Other\n100003\tMouse Pad\tSoftware/Other\n100218\tExternal 8X CD-ROM\tPeripherals and Accessories\n100225\tExternal 8X CD-ROM\tPeripherals and Accessories\n100226\tO/S Documentation Set - English\tSoftware/Other\n100009\tStandard Mouse\tPeripherals and Accessories\n100226\tKeyboard Wrist Rest\tSoftware/Other\n100002\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100220\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100003\tExtension Cable\tElectronics\n100016\tExtension Cable\tElectronics\n100052\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100057\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100049\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100061\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100062\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100027\tExternal 8X CD-ROM\tPeripherals and Accessories\n100033\tExternal 8X CD-ROM\tPeripherals and Accessories\n100035\tO/S Documentation Set - English\tSoftware/Other\n100027\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100029\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100048\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100060\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100055\tExtension Cable\tElectronics\n100535\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100069\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100078\tMouse Pad\tSoftware/Other\n100541\tMouse Pad\tSoftware/Other\n100534\tExternal 8X CD-ROM\tPeripherals and Accessories\n100538\tO/S Documentation Set - English\tSoftware/Other\n100088\tStandard Mouse\tPeripherals and Accessories\n100538\tStandard Mouse\tPeripherals and Accessories\n100544\tStandard Mouse\tPeripherals and Accessories\n100066\tKeyboard Wrist Rest\tSoftware/Other\n100076\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100534\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100536\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100074\tExtension Cable\tElectronics\n100080\tExtension Cable\tElectronics\n100562\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100563\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100550\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100561\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100546\tExternal 8X CD-ROM\tPeripherals and Accessories\n100548\tExternal 8X CD-ROM\tPeripherals and Accessories\n100586\tExternal 8X CD-ROM\tPeripherals and Accessories\n100574\tO/S Documentation Set - English\tSoftware/Other\n100553\tStandard Mouse\tPeripherals and Accessories\n100558\tStandard Mouse\tPeripherals and Accessories\n100565\tStandard Mouse\tPeripherals and Accessories\n100572\tCD-RW, High Speed Pack of 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5\tSoftware/Other\n100671\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100854\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100867\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100856\tO/S Documentation Set - English\tSoftware/Other\n100870\tO/S Documentation Set - English\tSoftware/Other\n100879\tO/S Documentation Set - English\tSoftware/Other\n100858\tStandard Mouse\tPeripherals and Accessories\n100864\tStandard Mouse\tPeripherals and Accessories\n100847\tKeyboard Wrist Rest\tSoftware/Other\n100856\tKeyboard Wrist Rest\tSoftware/Other\n100862\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100849\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100851\tExtension Cable\tElectronics\n100856\tExtension Cable\tElectronics\n100858\tExtension Cable\tElectronics\n100865\tExtension Cable\tElectronics\n100873\tExtension Cable\tElectronics\n100874\tExtension Cable\tElectronics\n100879\tSIMM- 16MB PCMCIAII card\tPeripherals and 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High Speed Pack of 5\tSoftware/Other\n100931\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100943\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100969\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100691\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100690\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100966\tMouse Pad\tSoftware/Other\n100684\tMouse Pad\tSoftware/Other\n100689\tExternal 8X CD-ROM\tPeripherals and Accessories\n100945\tO/S Documentation Set - English\tSoftware/Other\n100953\tO/S Documentation Set - English\tSoftware/Other\n100951\tStandard Mouse\tPeripherals and Accessories\n100688\tKeyboard Wrist Rest\tSoftware/Other\n100960\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100947\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100970\tExtension Cable\tElectronics\n100695\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100713\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100703\tMouse Pad\tSoftware/Other\n100725\tMouse Pad\tSoftware/Other\n100711\tO/S Documentation Set - English\tSoftware/Other\n100707\tStandard Mouse\tPeripherals and Accessories\n100714\tStandard Mouse\tPeripherals and Accessories\n100697\tKeyboard Wrist Rest\tSoftware/Other\n100716\tKeyboard Wrist Rest\tSoftware/Other\n100705\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100706\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100730\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100749\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100750\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100760\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100761\tExternal 8X CD-ROM\tPeripherals and Accessories\n100738\tStandard Mouse\tPeripherals and Accessories\n100753\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100756\tModel SM26273 Black Ink Cartridge\tPeripherals and Accessories\n100737\tExtension Cable\tElectronics\n100752\tExtension Cable\tElectronics\n100799\t18\" Flat Panel Graphics Monitor\tPeripherals and Accessories\n100781\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100783\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100793\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100792\tMouse Pad\tSoftware/Other\n100768\tExternal 8X CD-ROM\tPeripherals and Accessories\n100771\tExternal 8X CD-ROM\tPeripherals and Accessories\n100769\tO/S Documentation Set - English\tSoftware/Other\n100792\tStandard Mouse\tPeripherals and Accessories\n100788\tKeyboard Wrist Rest\tSoftware/Other\n100800\tKeyboard Wrist Rest\tSoftware/Other\n100793\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100796\tCD-RW, High Speed Pack of 5\tSoftware/Other\n100792\tExtension Cable\tElectronics\n100826\tSIMM- 16MB PCMCIAII card\tPeripherals and Accessories\n100818\tMultimedia speakers- 3\" cones\tPeripherals and Accessories\n100819\tExternal 8X CD-ROM\tPeripherals and Accessories\n100805\tO/S Documentation Set - English\tSoftware/Other\n100810\tO/S Documentation Set - English\tSoftware/Other\n100819\tStandard Mouse\tPeripherals and Accessories\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1919746843","id":"20200915-183827_45301188","dateCreated":"2019-07-29T18:50:06+0000","dateStarted":"2020-09-15T23:12:46+0000","dateFinished":"2020-09-15T23:12:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Drop, then create Associations Rules model AR_SH_SAMPLE","text":"%script \n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('AR_SH_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_APRIORI_ASSOCIATION_RULES';\n V_setlst('PREP_AUTO') := 'ON';\n V_setlst('ASSO_MIN_SUPPORT') := '0.04';\n V_setlst('ASSO_MIN_CONFIDENCE') := '0.1';\n V_setlst('ASSO_MAX_RULE_LENGTH'):= '2';\n V_setlst('ODMS_ITEM_ID_COLUMN_NAME'):= 'PROD_NAME';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'AR_SH_SAMPLE',\n MINING_FUNCTION => 'ASSOCIATION',\n DATA_QUERY => 'select * from SALES_TRANS_CUST',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:46+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":178.9,"optionOpen":false}}},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_-1197193390","id":"20200915-183827_15884935","dateCreated":"2018-02-06T16:44:12+0000","dateStarted":"2020-09-15T23:12:47+0000","dateFinished":"2020-09-15T23:12:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display Associations Rules model settings used by algorithm","text":"%sql\n\nSELECT SETTING_NAME, SETTING_VALUE\n FROM USER_MINING_MODEL_SETTINGS\n WHERE MODEL_NAME = 'AR_SH_SAMPLE'\n ORDER BY SETTING_NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:48+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"SETTING_NAME","index":0,"aggr":"sum"}],"values":[{"name":"SETTING_VALUE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SETTING_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"SETTING_NAME","index":0,"aggr":"sum"}},"groups":[],"height":104},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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TABLE(DBMS_DATA_MINING.GET_ASSOCIATION_RULES('AR_SH_SAMPLE', 10)) T,\n TABLE(T.CONSEQUENT) C,\n TABLE(T.ANTECEDENT) A\n ORDER BY CONF DESC, SUPP DESC, RULE_ELEMENT;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:50+0000","config":{"colWidth":12,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","RULE_ELEMENT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for 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ROUND(RULE_SUPPORT,3) SUPP, ROUND(RULE_CONFIDENCE,3) CONF, NUMBER_OF_ITEMS NUM_ITMES\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC, RULE_SUPPORT DESC)\n WHERE ROWNUM <= 10 \n ORDER BY RULE_ID, ANTECEDENT, CONSEQUENT;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:51+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM_ITMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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Drag ANTECEDENT and CONSEQUENT to Keys, and CONFIDENCE to Values selecting Avg. There are no groups.\n\nSELECT * FROM\n (SELECT RULE_ID, ANTECEDENT_PREDICATE ANTECEDENT,\n CONSEQUENT_PREDICATE CONSEQUENT,\n RULE_SUPPORT SUPP, RULE_CONFIDENCE CONF, NUMBER_OF_ITEMS NUM_ITEMS\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC, RULE_SUPPORT DESC)\n WHERE ROWNUM <= 5\n ORDER BY ANTECEDENT, CONSEQUENT;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:51+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"multiBarChart":{"stacked":false,"rotate":{"degree":"-45"},"xLabelStatus":"default"},"pieChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RULE_ID":"string","ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM_ITEMS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"ANTECEDENT","index":0,"aggr":"sum"},{"name":"CONSEQUENT","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CONF","index":3,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RULE_ID\tANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tNUM_ITEMS\n46\tExtension Cable\tMouse Pad\t0.17765957446808511\t0.56996587030716728\t2\n54\tExtension Cable\tStandard Mouse\t0.18085106382978725\t0.58020477815699656\t2\n92\tMouse Pad\tStandard Mouse\t0.18404255319148935\t0.57095709570957098\t2\n53\tStandard Mouse\tExtension Cable\t0.18085106382978725\t0.5629139072847682\t2\n91\tStandard Mouse\tMouse Pad\t0.18404255319148935\t0.57284768211920534\t2\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_277055490","id":"20200915-183827_420424416","dateCreated":"2019-07-24T19:58:22+0000","dateStarted":"2020-09-15T23:12:51+0000","dateFinished":"2020-09-15T23:12:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"title":"Plot top 12 Association Rules confidence using model views","text":"%sql \n\n-- Click the pie chart icon and expand settings. Drag ANTECEDENT and CONSEQUENT to Keys, and CONFIDENCE to Values selecting Avg. There are no groups.\n\nSELECT * FROM\n (SELECT ANTECEDENT_PREDICATE ANTECEDENT,\n CONSEQUENT_PREDICATE CONSEQUENT,\n RULE_SUPPORT SUPP, RULE_CONFIDENCE CONF, NUMBER_OF_ITEMS NUM\n FROM DM$VAAR_SH_SAMPLE\n ORDER BY RULE_CONFIDENCE DESC)\n WHERE ROWNUM <= 12;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:59+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":true,"keys":[],"values":[],"scatter":{"yAxis":{"name":"CONSEQUENT","index":1,"aggr":"sum"},"xAxis":{"name":"ANTECEDENT","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":317.8,"optionOpen":false,"setting":{"multiBarChart":{"stacked":false,"rotate":{"degree":"-45"},"xLabelStatus":"rotate"},"pieChart":{},"table":{"tableGridState":{"columns":[{"name":"ANTECEDENT","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CONSEQUENT","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"SUPP","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"CONF","visible":true,"width":"*","sort":{"priority":0,"direction":"desc"},"filters":[{}],"pinned":""},{"name":"NUM","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"ANTECEDENT":"string","CONSEQUENT":"string","SUPP":"string","CONF":"string","NUM":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"CONSEQUENT","index":1,"aggr":"sum"},{"name":"ANTECEDENT","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"CONF","index":3,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ANTECEDENT\tCONSEQUENT\tSUPP\tCONF\tNUM\nExtension Cable\tStandard Mouse\t0.18085106382978725\t0.58020477815699656\t2\nStandard Mouse\tMouse Pad\t0.18404255319148935\t0.57284768211920534\t2\nMouse Pad\tStandard Mouse\t0.18404255319148935\t0.57095709570957098\t2\nExtension Cable\tMouse Pad\t0.17765957446808511\t0.56996587030716728\t2\nStandard Mouse\tExtension Cable\t0.18085106382978725\t0.5629139072847682\t2\nMouse Pad\tExtension Cable\t0.17765957446808511\t0.55115511551155116\t2\nCD-RW, High Speed Pack of 5\tExternal 8X CD-ROM\t0.15319148936170213\t0.52363636363636368\t2\nExternal 8X CD-ROM\tCD-RW, High Speed Pack of 5\t0.15319148936170213\t0.50174216027874563\t2\n18\" Flat Panel Graphics Monitor\tSIMM- 16MB PCMCIAII card\t0.15425531914893617\t0.49657534246575341\t2\nSIMM- 16MB PCMCIAII card\t18\" Flat Panel Graphics Monitor\t0.15425531914893617\t0.48494983277591974\t2\nModel SM26273 Black Ink Cartridge\tStandard Mouse\t0.079787234042553196\t0.36764705882352944\t2\nModel SM26273 Black Ink Cartridge\tMouse Pad\t0.077659574468085107\t0.35784313725490197\t2\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_46679874","id":"20200915-183827_479602503","dateCreated":"2019-07-29T19:08:42+0000","dateStarted":"2020-09-15T23:12:52+0000","dateFinished":"2020-09-15T23:12:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"text":"%md\nIn the following example, ***number_of_items*** refers the total number of items in the rule - across antecedent and consequent. \nAssocation Rules supports only a single consequent item. This query is looking for rules of length two. \n\nHere, we use two predicates:\n- number_of_items to control for the size of the rule\n- EXTRACT to filter on the antecedent\n\nFor example, if the antecedent should include \"Mouse Pad\", then use ***extract(antecedent, '//item[item_name=\"Mouse Pad\"]') IS NOT NULL***","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:52+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"In the following example, number_of_items refers the total number of items in the rule - across antecedent and consequent.\n
Assocation Rules supports only a single consequent item. This query is looking for rules of length two.
\nHere, we use two predicates:
\n\n- number_of_items to control for the size of the rule
\n- EXTRACT to filter on the antecedent
\n
\nFor example, if the antecedent should include “Mouse Pad”, then use extract(antecedent, '//item[item_name=“Mouse Pad”]') IS NOT NULL
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1160101899","id":"20200915-183827_667290975","dateCreated":"2020-04-29T01:26:35+0000","dateStarted":"2020-09-15T23:12:52+0000","dateFinished":"2020-09-15T23:12:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"title":"Recommend top 5 items based on \"Mouse Pad\"","text":"%sql\n\nSELECT ROWNUM RANK,\n CONSEQUENT_NAME RECOMMENDATION,\n NUMBER_OF_ITEMS NUM,\n ROUND(RULE_SUPPORT, 3) SUPPORT, \n ROUND(RULE_CONFIDENCE, 3) CONFIDENCE,\n ROUND(RULE_LIFT, 3) LIFT,\n ROUND(RULE_REVCONFIDENCE, 3) REVERSE_CONFIDENCE\n FROM (SELECT * FROM DM$VRAR_SH_SAMPLE\n WHERE NUMBER_OF_ITEMS = 2\n AND EXTRACT(antecedent, '//item[item_name=\"Mouse Pad\"]') IS NOT NULL\n ORDER BY NUMBER_OF_ITEMS\n )\n WHERE ROWNUM <= 5;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:53+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":232,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RANK":"string","RECOMMENDATION":"string","NUM":"string","SUPPORT":"string","CONFIDENCE":"string","LIFT":"string","REVERSE_CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RANK\tRECOMMENDATION\tNUM\tSUPPORT\tCONFIDENCE\tLIFT\tREVERSE_CONFIDENCE\n1\t18\" Flat Panel Graphics Monitor\t2\t0.095\t0.294\t0.946\t0.305\n2\tCD-RW, High Speed Pack of 5\t2\t0.076\t0.234\t0.801\t0.258\n3\tExtension Cable\t2\t0.178\t0.551\t1.768\t0.57\n4\tExternal 8X CD-ROM\t2\t0.103\t0.32\t1.049\t0.338\n5\tKeyboard Wrist Rest\t2\t0.047\t0.145\t0.771\t0.249\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_-1462630762","id":"20200915-183827_350523924","dateCreated":"2019-07-29T19:13:31+0000","dateStarted":"2020-09-15T23:12:53+0000","dateFinished":"2020-09-15T23:12:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:164"},{"text":"%md\n\nIn the following example, we assume the antecedent item is \"Standard Mouse\". \nSelect the top 5 rules, ordered by the rule lift to see \"Extension Cable\" as the top recommendation. \nYou can change sort to RULE_SUPPORT to see \"Mouse Pad\" as top recommendation.","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:53+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"In the following example, we assume the antecedent item is “Standard Mouse”.\n
Select the top 5 rules, ordered by the rule lift to see “Extension Cable” as the top recommendation.\n
You can change sort to RULE_SUPPORT to see “Mouse Pad” as top recommendation.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_2136134201","id":"20200915-183827_1960636994","dateCreated":"2020-04-29T01:34:53+0000","dateStarted":"2020-09-15T23:12:54+0000","dateFinished":"2020-09-15T23:12:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:165"},{"title":"What items should we recommend when customer has \"Standard Mouse\" in basket?","text":"%sql\n\nSELECT ROWNUM RANK,\n CONSEQUENT_NAME RECOMMENDATION,\n NUMBER_OF_ITEMS NUM,\n ROUND(RULE_SUPPORT, 3) SUPPORT, \n ROUND(RULE_CONFIDENCE, 3) CONFIDENCE,\n ROUND(RULE_LIFT, 3) LIFT,\n ROUND(RULE_REVCONFIDENCE, 3) REVERSE_CONFIDENCE\nFROM (SELECT * FROM DM$VRAR_SH_SAMPLE\n WHERE NUMBER_OF_ITEMS = 2\n AND EXTRACT(antecedent, '//item[item_name=\"Standard Mouse\"]') IS NOT NULL\n ORDER BY RULE_LIFT DESC, NUMBER_OF_ITEMS)\nWHERE ROWNUM <= 5;\n\n---this example recommends \"Extension Cable\" and \"Mouse Pad\".","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:54+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"RANK":"string","RECOMMENDATION":"string","NUM":"string","SUPPORT":"string","CONFIDENCE":"string","LIFT":"string","REVERSE_CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"RANK\tRECOMMENDATION\tNUM\tSUPPORT\tCONFIDENCE\tLIFT\tREVERSE_CONFIDENCE\n1\tExtension Cable\t2\t0.181\t0.563\t1.806\t0.58\n2\tMouse Pad\t2\t0.184\t0.573\t1.777\t0.571\n3\tModel SM26273 Black Ink Cartridge\t2\t0.08\t0.248\t1.144\t0.368\n4\t18\" Flat Panel Graphics Monitor\t2\t0.096\t0.298\t0.959\t0.308\n5\tMultimedia speakers- 3\" cones\t2\t0.057\t0.179\t0.913\t0.293\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1000786314","id":"20200915-183827_1507680129","dateCreated":"2019-08-09T21:08:37+0000","dateStarted":"2020-09-15T23:12:54+0000","dateFinished":"2020-09-15T23:12:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:166"},{"text":"%md \n## Alternative way to create AR Model using Settings Table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:54+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative way to create AR Model using Settings Table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_277940796","id":"20200915-183827_1323699472","dateCreated":"2019-08-09T21:10:01+0000","dateStarted":"2020-09-15T23:12:55+0000","dateFinished":"2020-09-15T23:12:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:167"},{"title":"Drop settings table","text":"%script\n\nBEGIN\n EXECUTE IMMEDIATE 'DROP Table AR_SH_SAMPLE_SETTINGS';\n EXCEPTION\n WHEN OTHERS THEN NULL;\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:55+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_2033663565","id":"20200915-183827_2116178666","dateCreated":"2020-02-05T21:17:44+0000","dateStarted":"2020-09-15T23:12:55+0000","dateFinished":"2020-09-15T23:12:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:168"},{"title":"Create settings table","text":"%sql\n\nCREATE TABLE AR_SH_SAMPLE_SETTINGS (\n SETTING_NAME VARCHAR2(30),\n SETTING_VALUE VARCHAR2(4000));","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:55+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195107896_-1210301184","id":"20200915-183827_1837101454","dateCreated":"2020-02-05T21:18:41+0000","dateStarted":"2020-09-15T23:12:56+0000","dateFinished":"2020-09-15T23:12:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"},{"title":"Define AR Model settings","text":"%script\n\nBEGIN \n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MIN_SUPPORT,0.04);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MIN_CONFIDENCE,0.1);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ASSO_MAX_RULE_LENGTH,2);\n INSERT INTO AR_SH_SAMPLE_SETTINGS VALUES (DBMS_DATA_MINING.ODMS_ITEM_ID_COLUMN_NAME, 'PROD_NAME');\n COMMIT;\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:56+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_397144569","id":"20200915-183827_1592625911","dateCreated":"2020-02-05T21:18:48+0000","dateStarted":"2020-09-15T23:12:56+0000","dateFinished":"2020-09-15T23:12:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:170"},{"title":"Display AR Model settings table","text":"%sql\n\nSELECT * FROM AR_SH_SAMPLE_SETTINGS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:56+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nASSO_MIN_SUPPORT\t.04\nASSO_MIN_CONFIDENCE\t.1\nASSO_MAX_RULE_LENGTH\t2\nODMS_ITEM_ID_COLUMN_NAME\tPROD_NAME\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_-1631668484","id":"20200915-183827_547197623","dateCreated":"2020-02-05T21:18:55+0000","dateStarted":"2020-09-15T23:12:57+0000","dateFinished":"2020-09-15T23:12:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:171"},{"title":"Drop, the create AR model using SALES transactional data","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('AR_SH_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN\n DBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'AR_SH_SAMPLE',\n MINING_FUNCTION => DBMS_DATA_MINING.ASSOCIATION,\n DATA_TABLE_NAME => 'SALES_TRANS_CUST',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n SETTINGS_TABLE_NAME => 'AR_SH_SAMPLE_SETTINGS'\n );\nEND;\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:57+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1157129192","id":"20200915-183827_1279533388","dateCreated":"2020-02-05T21:18:57+0000","dateStarted":"2020-09-15T23:12:57+0000","dateFinished":"2020-09-15T23:12:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:172"},{"text":"%md\n# End of Script","user":"OMLUSER","dateUpdated":"2020-09-15T23:12:58+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195107896_1276479683","id":"20200915-183827_1579506379","dateCreated":"2020-02-05T21:22:26+0000","dateStarted":"2020-09-15T23:12:59+0000","dateFinished":"2020-09-15T23:12:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:173"}],"name":"OML4SQL Association Rules","id":"468011","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACED2F65282:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/sql/OML4SQL_Attribute_Importance.json b/machine-learning/notebooks/sql/OML4SQL_Attribute_Importance.json
index 16a5322a..de885752 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Attribute_Importance.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Attribute_Importance.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n\n## Identify key factors\n\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we build an Attribute Importance model, which uses the Mminimum Desciption Length algorithm, using the SH schema data. All functionality executes inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:27:32+0000","config":{"tableHide":false,"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Identify key factors
\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we build an Attribute Importance model, which uses the Mminimum Desciption Length algorithm, using the SH schema data. All functionality executes inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580860206645_-634908842","id":"20200204-235006_1983140560","dateCreated":"2018-02-04T03:14:21+0000","dateStarted":"2020-02-07T20:27:33+0000","dateFinished":"2020-02-07T20:27:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md\n\n\n
\n\n","user":"MARK","dateUpdated":"2020-02-07T20:27:33+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"jobName":"paragraph_1580860206645_-748332536","id":"20200204-235006_1135362120","dateCreated":"2018-02-05T21:39:31+0000","dateStarted":"2020-02-07T20:27:33+0000","dateFinished":"2020-02-07T20:27:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOracle Machine Learning folder on Github \nOracle Machine Learning web page: ","user":"MARK","dateUpdated":"2020-02-07T20:27:34+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
\n"}]},"jobName":"paragraph_1580860206645_1727547400","id":"20200204-235006_608213104","dateCreated":"2018-02-05T21:39:07+0000","dateStarted":"2020-02-07T20:27:34+0000","dateFinished":"2020-02-07T20:27:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Display the SH.SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT * FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"MARK","dateUpdated":"2020-02-07T20:27:34+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","EDUCATION":"string","OCCUPATION":"string","HOUSEHOLD_SIZE":"string","YRS_RESIDENCE":"string","AFFINITY_CARD":"string","BULK_PACK_DISKETTES":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","BOOKKEEPING_APPLICATION":"string","PRINTER_SUPPLIES":"string","Y_BOX_GAMES":"string","OS_DOC_SET_KANJI":"string","COMMENTS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tEDUCATION\tOCCUPATION\tHOUSEHOLD_SIZE\tYRS_RESIDENCE\tAFFINITY_CARD\tBULK_PACK_DISKETTES\tFLAT_PANEL_MONITOR\tHOME_THEATER_PACKAGE\tBOOKKEEPING_APPLICATION\tPRINTER_SUPPLIES\tY_BOX_GAMES\tOS_DOC_SET_KANJI\tCOMMENTS\n102547\t10th\tOther\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\t\n101050\t10th\tOther\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\t\n100040\t11th\tSales\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\t\n102117\tHS-grad\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\t\n101074\t10th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\t\n104179\t10th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\t\n100417\t11th\tHandler\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\t\n101146\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n103420\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n101987\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n101279\t< Bach.\tOther\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\t\n102106\t< Bach.\tCleric.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\t\n102591\tHS-grad\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n101869\tHS-grad\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n103169\tHS-grad\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\t\n103552\tHS-grad\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\t\n101616\tBach.\tTechSup\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\t\n104096\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\t\n102171\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\t\n100846\t< 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Bach.\tProf.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n102036\tAssoc-V\tTechSup\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\t\n100807\tHS-grad\tProf.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n102452\tHS-grad\tCleric.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n103423\tHS-grad\tCleric.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n100289\t9th\tCrafts\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\t\n102561\t10th\tOther\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\t\n100766\tProfsc\tProf.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n102752\tHS-grad\tExec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n103105\tHS-grad\tProf.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n101209\tHS-grad\tCrafts\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n102055\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n103920\tHS-grad\tCleric.\t9+\t5\t1\t0\t0\t1\t1\t1\t0\t0\t\n100529\tHS-grad\tMachine\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n101791\tMasters\tExec.\t9+\t5\t1\t0\t0\t1\t1\t1\t0\t0\t\n101980\t10th\tProf.\t9+\t6\t0\t0\t0\t1\t0\t1\t0\t0\t\n101378\tMasters\tProf.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\t\n101458\tBach.\tExec.\t4-5\t2\t0\t0\t0\t0\t1\t1\t1\t0\t\n102859\tHS-grad\tHandler\t4-5\t2\t1\t0\t0\t1\t1\t1\t0\t0\t\n100438\tPhD\tProf.\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\t\n101577\t< Bach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\t\n102269\tHS-grad\tCrafts\t4-5\t3\t0\t1\t1\t0\t1\t1\t0\t0\t\n100152\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n100166\t< Bach.\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103318\t< Bach.\tTransp.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103386\tHS-grad\tExec.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n101206\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n104394\tBach.\tProf.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\t\n102436\t< Bach.\tCleric.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n103972\tHS-grad\tExec.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n101727\t< Bach.\tCrafts\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n103805\tHS-grad\tCleric.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\t\n100423\tHS-grad\tProf.\t6-8\t5\t0\t1\t0\t1\t1\t1\t0\t0\t\n102760\t11th\tFarming\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n100125\tBach.\tTechSup\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103432\t< Bach.\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101602\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103479\t< Bach.\tFarming\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103651\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100129\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101890\tHS-grad\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103756\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100076\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100200\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103771\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104406\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103964\t< Bach.\tMachine\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100858\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103993\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101405\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100180\t< Bach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100187\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101008\tHS-grad\tMachine\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100576\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101624\t< Bach.\tOther\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100460\t< Bach.\tCrafts\t1\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103948\t< Bach.\tCleric.\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101724\tHS-grad\tMachine\t1\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102976\tHS-grad\tHandler\t1\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100930\tBach.\tProf.\t2\t0\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104082\tBach.\tProf.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103028\tBach.\tCleric.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100743\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103553\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101440\tBach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100825\tBach.\tProtec.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102344\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102672\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104416\tHS-grad\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100030\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100011\t9th\tFarming\t2\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103952\t11th\tTransp.\t2\t3\t0\t1\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101979\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100218\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102255\tHS-grad\tOther\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101675\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104048\tHS-grad\tSales\t2\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102146\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100832\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102639\tHS-grad\tHouse-s\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100410\t10th\tTransp.\t2\t4\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102327\tBach.\tSales\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101977\t< Bach.\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102872\tAssoc-V\tTechSup\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103401\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103431\tHS-grad\tHandler\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102234\tBach.\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101820\tBach.\tFarming\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100625\t< Bach.\tCrafts\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101340\t< Bach.\tCleric.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104128\tAssoc-A\tTechSup\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100645\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103455\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102369\tAssoc-V\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100771\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103604\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102313\tHS-grad\tExec.\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103742\tMasters\tProf.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104310\tAssoc-A\tExec.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103152\tHS-grad\tCrafts\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103141\tBach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104225\t5th-6th\tMachine\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102558\t7th-8th\tFarming\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103557\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104172\t< Bach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101880\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102291\t< Bach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102456\tHS-grad\tExec.\t3\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100585\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101133\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102191\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100182\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100398\tBach.\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100850\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104284\tAssoc-A\tFarming\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102781\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102782\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100691\tHS-grad\tHandler\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102686\t< Bach.\tProf.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100908\tHS-grad\tHandler\t3\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101415\tPhD\tCrafts\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103634\tBach.\t?\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104328\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n101168\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102693\tHS-grad\tProtec.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100815\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103441\tBach.\tTechSup\t9+\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104063\t< Bach.\tSales\t9+\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102691\t9th\tOther\t9+\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n101368\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101283\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103275\tHS-grad\tMachine\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102745\t< Bach.\t?\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100615\tHS-grad\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101753\tAssoc-A\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102061\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101337\tHS-grad\tCrafts\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101427\tHS-grad\tMachine\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102162\tAssoc-V\tCleric.\t4-5\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101915\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n103442\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n100018\t< Bach.\tHandler\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t1\tI love the new on-line documentation.\n103870\tHS-grad\tOther\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102454\tBach.\tProf.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103529\tHS-grad\tExec.\t4-5\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102213\tHS-grad\tMachine\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102121\t11th\tCrafts\t6-8\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103359\tHS-grad\tCrafts\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100592\tHS-grad\tTransp.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102810\t< Bach.\tOther\t2\t3\t1\t0\t0\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n101413\t< Bach.\tExec.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101565\tMasters\tExec.\t2\t5\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103052\tBach.\tProf.\t3\t1\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101113\tBach.\tProf.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101080\t< Bach.\tCleric.\t3\t3\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n100989\t< Bach.\tTransp.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104347\tAssoc-A\tTechSup\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104325\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n100254\tBach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102695\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103337\tBach.\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101009\tBach.\tSales\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102881\tProfsc\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101755\t< Bach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100704\t< Bach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103134\tAssoc-V\tTransp.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102855\tHS-grad\tMachine\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102161\tMasters\tProf.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101049\tProfsc\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101917\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102679\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104334\t< Bach.\tCrafts\t3\t5\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101747\t< Bach.\tProtec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100812\t< Bach.\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100668\tMasters\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103071\tBach.\tExec.\t3\t6\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101361\tBach.\tCrafts\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104433\tBach.\tCleric.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102499\tHS-grad\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102670\tHS-grad\tTransp.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101708\tPhD\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100081\tBach.\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101145\tProfsc\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100276\t< Bach.\tSales\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103219\tMasters\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103579\tBach.\tExec.\t3\t9\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100658\tAssoc-A\tCrafts\t9+\t2\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n103991\t11th\tOther\t9+\t5\t1\t1\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n101817\tPhD\tProf.\t9+\t8\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100232\tBach.\tSales\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100486\tMasters\tProf.\t4-5\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102210\tMasters\tCleric.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101339\tMasters\tProf.\t2\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102280\tBach.\tSales\t2\t5\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100716\tBach.\t?\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100037\tProfsc\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101912\t< Bach.\tCrafts\t2\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102023\tMasters\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102220\t< Bach.\tCrafts\t2\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100101\tBach.\tProf.\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101991\t10th\tMachine\t3\t4\t1\t1\t1\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101737\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101780\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103568\tAssoc-V\tCrafts\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103549\tHS-grad\tCrafts\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103570\tMasters\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101289\t10th\tTransp.\t3\t5\t1\t1\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103925\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101793\tBach.\tProf.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102616\tHS-grad\tSales\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102519\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101781\tMasters\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102595\tMasters\tCleric.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102461\tBach.\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101444\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103657\tBach.\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102634\t< Bach.\tMachine\t3\t6\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103045\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103256\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101813\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102075\tHS-grad\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102979\tBach.\tExec.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101541\tAssoc-V\tCrafts\t3\t8\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102539\t9th\tTransp.\t3\t9\t1\t0\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103781\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101429\t11th\tFarming\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n101062\t< Bach.\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100321\t11th\tSales\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103851\t11th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n104366\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n100113\t12th\tCleric.\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103217\t< Bach.\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103409\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101319\tHS-grad\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102382\tHS-grad\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103015\tBach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102520\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101471\tHS-grad\tOther\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102682\tHS-grad\tSales\t1\t2\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102318\tHS-grad\tCrafts\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103490\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100799\tHS-grad\tCrafts\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101436\tHS-grad\tCleric.\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103582\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104360\t< Bach.\tExec.\t2\t0\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104309\tBach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103927\t< Bach.\t?\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104181\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102593\tHS-grad\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100755\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100643\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102582\t5th-6th\tTransp.\t2\t3\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102018\t< Bach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100304\tAssoc-A\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102909\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100993\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100992\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103247\tHS-grad\tHandler\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100119\tBach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104027\t< Bach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100946\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103397\tHS-grad\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101930\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102143\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103147\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102317\tHS-grad\tMachine\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104464\tBach.\tCleric.\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101120\t< Bach.\tExec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102373\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100269\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101608\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102673\tAssoc-V\tProf.\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102912\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103354\tHS-grad\tFarming\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104039\tHS-grad\tMachine\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102957\tMasters\t?\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100708\tHS-grad\tHouse-s\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103735\t< Bach.\tCleric.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104272\tAssoc-V\tOther\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100537\tHS-grad\tCleric.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102647\tHS-grad\tExec.\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101729\tBach.\tExec.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103611\tMasters\tProf.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103451\t< Bach.\t?\t3\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102336\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104089\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103726\t< Bach.\tProtec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103013\tAssoc-V\tHandler\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100857\tHS-grad\tOther\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102509\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100204\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103765\tHS-grad\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102738\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n100441\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103819\t< Bach.\tProtec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101211\tAssoc-A\tTransp.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100556\tAssoc-V\tProtec.\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100729\tHS-grad\tOther\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103947\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103827\tHS-grad\tHandler\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102924\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103170\tHS-grad\tTransp.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102298\t12th\tCleric.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104146\tBach.\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100219\t1st-4th\tOther\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102811\t1st-4th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101964\t7th-8th\tTransp.\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104399\t< Bach.\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104294\t< Bach.\tTransp.\t3\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100151\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102233\tHS-grad\tHandler\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101524\tHS-grad\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100767\t9th\tOther\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101554\t< Bach.\tSales\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103187\tHS-grad\t?\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100112\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102971\tHS-grad\tCrafts\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101974\tHS-grad\tFarming\t3\t7\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102183\t< Bach.\tProf.\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104392\tHS-grad\tSales\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100291\t< Bach.\tOther\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102677\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100703\t< Bach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102432\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103208\t< Bach.\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103469\tAssoc-V\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104148\tAssoc-V\tTechSup\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103625\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102074\tHS-grad\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100808\tHS-grad\tMachine\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100851\tHS-grad\tTechSup\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100631\t< Bach.\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101740\t< Bach.\tExec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104422\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103382\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104391\t11th\tHandler\t9+\t5\t0\t1\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103253\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100618\t7th-8th\tMachine\t9+\t8\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102051\tHS-grad\tCleric.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102372\t< Bach.\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102229\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102287\tHS-grad\t?\t4-5\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100647\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103209\t< Bach.\tSales\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103995\t< Bach.\tCrafts\t4-5\t5\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102805\t10th\tExec.\t4-5\t6\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102652\t12th\tSales\t6-8\t3\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102218\tAssoc-V\tCleric.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100913\tHS-grad\tSales\t6-8\t7\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103994\t< Bach.\tExec.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101752\t< Bach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100349\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103212\tHS-grad\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101370\t11th\t?\t1\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104415\t7th-8th\tMachine\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103897\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101568\t< Bach.\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102714\t< Bach.\tMachine\t1\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100492\tHS-grad\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103051\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103546\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103227\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102820\tHS-grad\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101545\t< Bach.\tExec.\t2\t1\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101261\t10th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100505\t< Bach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103167\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104280\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101539\tAssoc-A\t?\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101076\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100257\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101508\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101245\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102042\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101218\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103438\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103109\t< Bach.\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100557\tAssoc-A\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102549\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103106\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101236\tHS-grad\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103117\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102237\tProfsc\tProf.\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101591\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104291\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100881\t< Bach.\tProtec.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101259\tHS-grad\tOther\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100591\tHS-grad\tSales\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100904\tHS-grad\tSales\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103690\tMasters\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100008\t< Bach.\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103044\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101943\t< Bach.\tProtec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104453\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103122\tHS-grad\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103669\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100575\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103202\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102825\t10th\tMachine\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100563\tBach.\tProf.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100968\tBach.\tProf.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102144\t< Bach.\tCrafts\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101205\t< Bach.\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103182\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100905\tBach.\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103201\tBach.\tTransp.\t2\t10\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101961\tBach.\tOther\t3\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101656\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102865\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102921\tHS-grad\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103482\tBach.\tProf.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101237\tBach.\tSales\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102356\tBach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102288\t7th-8th\tTransp.\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101537\t< Bach.\tExec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103715\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103257\tAssoc-V\tProf.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101182\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102860\tHS-grad\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102592\tHS-grad\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102611\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100124\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100407\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103709\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103716\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103497\tBach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102913\t< Bach.\tProtec.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104255\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100305\tHS-grad\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102735\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101404\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100560\t< Bach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103647\tAssoc-A\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103400\tAssoc-V\tFarming\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101604\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101986\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103344\tHS-grad\tMachine\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101154\t1st-4th\tFarming\t3\t6\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101521\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100050\t12th\tMachine\t9+\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101847\t11th\tCleric.\t9+\t3\t0\t1\t0\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101709\tBach.\tSales\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102537\t< Bach.\tProtec.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102846\t< Bach.\tTransp.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102835\tAssoc-V\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103108\tHS-grad\tCrafts\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102357\t10th\tCleric.\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103115\tBach.\tProf.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101497\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103131\tHS-grad\tExec.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100789\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102532\tHS-grad\tMachine\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102848\t< Bach.\t?\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101298\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103896\t< Bach.\tCleric.\t9+\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100247\tHS-grad\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104485\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101610\t11th\tHandler\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102986\t< Bach.\tProf.\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101344\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104086\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102410\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103612\tAssoc-A\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102599\t12th\tHandler\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100678\tBach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100454\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102115\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101423\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103831\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102207\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100043\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104409\tHS-grad\tCrafts\t1\t2\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102199\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103030\tBach.\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101111\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101714\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103752\t< Bach.\tCleric.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102427\t< Bach.\tProtec.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101921\tBach.\tOther\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104405\t< Bach.\tTechSup\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100337\t7th-8th\t?\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104411\t7th-8th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102590\t< Bach.\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100935\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101171\t< Bach.\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103414\tAssoc-A\tCleric.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100902\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101223\tHS-grad\tSales\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103248\tBach.\tExec.\t2\t3\t0\t1\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104024\tBach.\tProf.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102597\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103567\tBach.\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104143\t< Bach.\tMachine\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104497\tHS-grad\tExec.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101658\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102584\tHS-grad\tSales\t2\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100138\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100311\tBach.\tSales\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102259\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101929\tHS-grad\tMachine\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101843\tBach.\tProf.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102458\tBach.\tFarming\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101150\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102990\tMasters\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100546\t< Bach.\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102896\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102390\t< Bach.\tProtec.\t2\t7\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100680\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103475\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102555\tBach.\tExec.\t2\t14\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101432\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104357\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100747\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100707\t< Bach.\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104057\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100099\tHS-grad\tTechSup\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100910\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101282\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102004\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100705\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104198\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101093\t9th\tTransp.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102585\tPhD\tProf.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103821\tBach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104221\tAssoc-V\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103139\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100108\tMasters\tOther\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101148\t< Bach.\tExec.\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103457\tAssoc-A\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102918\tHS-grad\tProf.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100681\tBach.\t?\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101685\tHS-grad\tCrafts\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103916\t1st-4th\tTransp.\t3\t8\t0\t1\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103836\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102763\t< Bach.\tFarming\t3\t11\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100572\tBach.\tMachine\t9+\t1\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100610\tHS-grad\tTransp.\t9+\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102419\t7th-8th\tFarming\t9+\t2\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103869\t< Bach.\tCleric.\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101278\t11th\tMachine\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100336\tBach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103963\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102209\tHS-grad\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103630\tHS-grad\tOther\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103783\tHS-grad\tSales\t9+\t3\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103872\t10th\tCrafts\t9+\t4\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102857\tBach.\tProf.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103797\t< Bach.\tOther\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100711\t< Bach.\tCleric.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101857\t< Bach.\tProtec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104139\tMasters\tProf.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102701\t1st-4th\tProf.\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104208\t< Bach.\tExec.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102035\t< Bach.\tSales\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100587\t< Bach.\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102299\tHS-grad\tExec.\t9+\t5\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100745\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100570\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103533\tHS-grad\tCleric.\t9+\t10\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103577\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103357\t< Bach.\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100885\tHS-grad\t?\t6-8\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101750\tAssoc-V\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103687\tHS-grad\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100761\tAssoc-A\tOther\t6-8\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101919\t10th\tCrafts\t6-8\t4\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101097\tBach.\tTechSup\t6-8\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101597\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103780\t12th\t?\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103233\tBach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104403\t1st-4th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100181\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104191\t< Bach.\tSales\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101631\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103976\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101095\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103841\t< Bach.\tMachine\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103956\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100604\tHS-grad\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104004\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103293\tHS-grad\tFarming\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104109\tHS-grad\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102315\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103544\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102870\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101032\tHS-grad\tCrafts\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101779\tHS-grad\tSales\t1\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103842\tBach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100861\tBach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102308\t< Bach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102526\t< Bach.\tMachine\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102231\t< Bach.\tTransp.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104012\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100148\t7th-8th\tOther\t2\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103465\t< Bach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101985\tAssoc-A\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101920\tHS-grad\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100275\tBach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100515\tProfsc\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103959\t1st-4th\tExec.\t2\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104491\t< Bach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103875\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104247\t10th\tMachine\t2\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100087\tBach.\tProf.\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104222\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102516\t< Bach.\tProf.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103119\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103345\tHS-grad\tTransp.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103971\t10th\tProtec.\t2\t6\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102274\t11th\t?\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101895\t11th\tOther\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101994\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103236\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100841\tHS-grad\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100431\t< Bach.\tCrafts\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104108\tAssoc-V\t?\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100217\tHS-grad\tFarming\t2\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100387\t7th-8th\tCrafts\t3\t1\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103606\t11th\tTransp.\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104171\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101637\tAssoc-V\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101107\tHS-grad\tProtec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101348\tBach.\tExec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102983\tBach.\tMachine\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102625\t< Bach.\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102768\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100906\tMasters\tProf.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102482\t11th\tCrafts\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102059\t11th\tTransp.\t3\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101166\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103955\tHS-grad\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102944\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101011\t10th\tTransp.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100283\t11th\tExec.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101638\tBach.\tSales\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104266\tBach.\tSales\t3\t6\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100058\t< Bach.\tFarming\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103468\tAssoc-A\tProf.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103392\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102756\tHS-grad\tFarming\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101243\t11th\t?\t9+\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101244\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103909\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101710\t12th\tHandler\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100619\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102864\t11th\tOther\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101623\t12th\tHouse-s\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103368\t7th-8th\tCrafts\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103325\tHS-grad\tTransp.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101265\tMasters\tProtec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103576\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100571\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103175\tBach.\tCleric.\t4-5\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103192\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100954\tProfsc\tSales\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102411\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101099\t9th\tSales\t6-8\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101957\tHS-grad\tTransp.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100722\tAssoc-V\tExec.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103273\tHS-grad\tCleric.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101522\tMasters\tProf.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100323\t< Bach.\tProf.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103290\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103085\tAssoc-V\tExec.\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104216\tBach.\tExec.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104474\tBach.\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102882\tHS-grad\tExec.\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102242\tMasters\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101400\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102394\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102868\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100838\tBach.\tExec.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100709\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100853\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103308\tBach.\tSales\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101239\t< Bach.\tCrafts\t3\t4\t1\t1\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101012\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103317\tHS-grad\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103935\tHS-grad\tMachine\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100406\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103799\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102850\tBach.\tSales\t3\t5\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103548\t< Bach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103816\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100063\tHS-grad\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103914\t10th\tCrafts\t3\t6\t1\t1\t1\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102501\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103346\tBach.\tProf.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101735\tAssoc-A\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100950\tHS-grad\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100233\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102731\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101699\tBach.\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101086\tProfsc\tProf.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101679\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100266\tAssoc-A\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102641\tHS-grad\tExec.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104345\tHS-grad\tTransp.\t3\t7\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102230\tPhD\tProf.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100372\t< Bach.\tExec.\t3\t10\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104298\tMasters\tSales\t3\t10\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103747\tAssoc-A\tProf.\t9+\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100727\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103537\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102112\tAssoc-A\tCleric.\t4-5\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102708\tBach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102418\tHS-grad\tMachine\t4-5\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100816\tMasters\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102468\t< Bach.\tProf.\t4-5\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102165\t< Bach.\tCleric.\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100330\tMasters\t?\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100540\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100009\tBach.\tProf.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103563\t< Bach.\tCrafts\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102919\tHS-grad\tCrafts\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104288\tHS-grad\tTechSup\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103353\tPhD\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103062\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103723\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102324\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100173\tAssoc-A\tProf.\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102994\tHS-grad\tTransp.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102796\tPhD\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102275\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103706\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102643\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100997\t< Bach.\tSales\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103601\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101373\t< Bach.\tFarming\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101826\tAssoc-A\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100629\tAssoc-V\tCrafts\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101214\tHS-grad\tOther\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103898\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100528\t< Bach.\tTechSup\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104090\tMasters\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103277\tHS-grad\tFarming\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102720\tHS-grad\tProtec.\t3\t12\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101219\t< Bach.\tExec.\t4-5\t1\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100769\tBach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100035\tBach.\tProf.\t4-5\t4\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101116\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104081\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101694\t12th\tCleric.\t4-5\t5\t1\t1\t1\t1\t0\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100335\t10th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101905\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101588\t< Bach.\tProf.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101896\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102807\tHS-grad\t?\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101424\tBach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101628\t< Bach.\t?\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100284\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101060\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103507\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104205\t< Bach.\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103295\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100728\tHS-grad\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102054\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101281\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101394\t9th\tOther\t1\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101220\t11th\tMachine\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103809\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102337\tBach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104330\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102328\t< Bach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102043\t< Bach.\tOther\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101212\t< Bach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104184\tHS-grad\t?\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102822\tHS-grad\tCrafts\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101936\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100248\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102292\t< Bach.\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103938\t< Bach.\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102800\t< Bach.\tMachine\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102988\tHS-grad\tOther\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103918\tHS-grad\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100483\tHS-grad\tHandler\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101953\tBach.\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100411\tAssoc-V\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102799\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103025\tHS-grad\tFarming\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103659\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102776\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100367\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103703\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101248\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100092\tBach.\tHandler\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102659\t< Bach.\tSales\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101180\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104055\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102113\tHS-grad\t?\t3\t0\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101634\tBach.\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100836\t< Bach.\tFarming\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104252\t11th\tSales\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103804\t11th\tCrafts\t3\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101317\tProfsc\tExec.\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102750\t7th-8th\tOther\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102335\t7th-8th\tHandler\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101768\t< Bach.\tCrafts\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102920\tAssoc-V\tCleric.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102631\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103855\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103998\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103404\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101955\tHS-grad\tTransp.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100445\t9th\tOther\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101159\t11th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101646\tBach.\tTechSup\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100746\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101516\t< Bach.\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102531\t< Bach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104393\t< Bach.\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100928\tHS-grad\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101318\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100344\tBach.\tProf.\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103303\tBach.\tTechSup\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103410\t5th-6th\tMachine\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100999\t7th-8th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103191\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102071\tBach.\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101403\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102492\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102675\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104141\t< Bach.\tTechSup\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100450\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102170\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102152\tHS-grad\t?\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104076\t< Bach.\tExec.\t3\t8\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102964\t< Bach.\tExec.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n"}]},"jobName":"paragraph_1580860206645_-2032636169","id":"20200204-235006_1852262288","dateCreated":"2018-02-04T03:14:49+0000","dateStarted":"2020-02-07T20:27:35+0000","dateFinished":"2020-02-07T20:27:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"List column in the SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COLUMN_ID ID, COLUMN_NAME NAME, DATA_TYPE TYPE, DATA_LENGTH LENGTH, NULLABLE \n FROM ALL_TAB_COLUMNS \n WHERE OWNER='SH' AND TABLE_NAME='SUPPLEMENTARY_DEMOGRAPHICS'\n ORDER BY COLUMN_ID;","user":"MARK","dateUpdated":"2020-02-07T20:27:35+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"ID":"string","NAME":"string","TYPE":"string","LENGTH":"string","NULLABLE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ID\tNAME\tTYPE\tLENGTH\tNULLABLE\n1\tCUST_ID\tNUMBER\t22\tN\n2\tEDUCATION\tVARCHAR2\t21\tY\n3\tOCCUPATION\tVARCHAR2\t21\tY\n4\tHOUSEHOLD_SIZE\tVARCHAR2\t21\tY\n5\tYRS_RESIDENCE\tNUMBER\t22\tY\n6\tAFFINITY_CARD\tNUMBER\t22\tY\n7\tBULK_PACK_DISKETTES\tNUMBER\t22\tY\n8\tFLAT_PANEL_MONITOR\tNUMBER\t22\tY\n9\tHOME_THEATER_PACKAGE\tNUMBER\t22\tY\n10\tBOOKKEEPING_APPLICATION\tNUMBER\t22\tY\n11\tPRINTER_SUPPLIES\tNUMBER\t22\tY\n12\tY_BOX_GAMES\tNUMBER\t22\tY\n13\tOS_DOC_SET_KANJI\tNUMBER\t22\tY\n14\tCOMMENTS\tVARCHAR2\t4000\tY\n"}]},"jobName":"paragraph_1580860206645_321648945","id":"20200204-235006_982592094","dateCreated":"2019-08-07T20:28:10+0000","dateStarted":"2020-02-07T20:27:40+0000","dateFinished":"2020-02-07T20:27:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Count the Number of Records in SH.SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COUNT(*) FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"MARK","dateUpdated":"2020-02-07T20:27:40+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":92.0547,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNT(*)\n4500\n"}]},"jobName":"paragraph_1580860206645_1227975956","id":"20200204-235006_463377220","dateCreated":"2019-07-22T16:43:59+0000","dateStarted":"2020-02-07T20:27:43+0000","dateFinished":"2020-02-07T20:27:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Create a pie chart for EDUCATION levels","text":"%sql \n-- Click the pie chart icon and expand settings. 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Leave Groups empty. \n-- HINT : Try selecting/deselecting the categories by clicking on the colored circles in the pie chart legend. \n-- HINT : Try changing the pie chart to a bar chart.\n\nSELECT COUNT(CUST_ID) AS NUM_CUSTOMERS, EDUCATION \n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS \n GROUP BY EDUCATION;","user":"MARK","dateUpdated":"2020-02-07T20:27:44+0000","config":{"colWidth":8,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"pieChart","optionOpen":false,"keys":[{"name":"EDUCATION","index":1,"aggr":"sum"}],"values":[{"name":"NUM_CUSTOMERS","index":0,"aggr":"sum"}],"scatter":{"yAxis":{"name":"EDUCATION","index":1,"aggr":"sum"},"xAxis":{"name":"TOTAL","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"pieChart":{}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"NUM_CUSTOMERS\tEDUCATION\n122\t10th\n94\tProfsc\n172\tAssoc-A\n52\t12th\n3\tPresch.\n1041\t< Bach.\n76\t9th\n779\tBach.\n190\tMasters\n49\tPhD\n17\t1st-4th\n1462\tHS-grad\n39\t5th-6th\n121\t11th\n196\tAssoc-V\n87\t7th-8th\n"}]},"jobName":"paragraph_1580860206645_1564241518","id":"20200204-235006_993856351","dateCreated":"2018-02-04T03:16:46+0000","dateStarted":"2020-02-07T20:27:44+0000","dateFinished":"2020-02-07T20:27:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Create DEMOGRAPHICS3_V view","text":"%script\n\nCREATE OR REPLACE VIEW DEMOGRAPHICS3_V\n AS (SELECT AFFINITY_CARD, BOOKKEEPING_APPLICATION, BULK_PACK_DISKETTES,\n CUST_ID, EDUCATION, FLAT_PANEL_MONITOR, \n HOME_THEATER_PACKAGE, HOUSEHOLD_SIZE, OCCUPATION,\n OS_DOC_SET_KANJI, PRINTER_SUPPLIES, \n YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS);\n","user":"MARK","dateUpdated":"2020-02-07T20:27:44+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView DEMOGRAPHICS3_V created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580860206645_498514813","id":"20200204-235006_1873973359","dateCreated":"2018-02-05T21:41:37+0000","dateStarted":"2020-02-07T20:27:45+0000","dateFinished":"2020-02-07T20:27:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Drop, then compute Attribute Importance to predict AFFINITY_CARD","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('AI_EXPLAIN_OUTPUT');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_AI_MDL';\n V_setlst('PREP_AUTO') := 'ON';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'AI_EXPLAIN_OUTPUT',\n MINING_FUNCTION => 'ATTRIBUTE_IMPORTANCE',\n DATA_QUERY => 'select * from DEMOGRAPHICS3_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => 'AFFINITY_CARD');\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:27:45+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"lineNumbers":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580860206645_-1241983372","id":"20200204-235006_1612556987","dateCreated":"2019-07-25T12:53:32+0000","dateStarted":"2020-02-07T20:27:46+0000","dateFinished":"2020-02-07T20:27:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display attributes that most highly influence AFFINITY_CARD high responders","text":"%sql\n\n-- HINT: To see the model view, select * from DM$VA[model_name] \n-- NOTE: PARTITION_NAME could optionally be used to build multiple models partitioned by another attribute e.g. HOUSEHOLD_SIZE\n-- NOTE: The last two attributes have importance value zero, meaning they do not appear to have any predictive value to the target\n\nSELECT * FROM DM$VAAI_EXPLAIN_OUTPUT;","user":"MARK","dateUpdated":"2020-02-07T20:27:46+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{"yAxis":{"name":"EXPLANATORY_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PARTITION_NAME":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_IMPORTANCE_VALUE":"string","ATTRIBUTE_RANK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PARTITION_NAME\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tATTRIBUTE_IMPORTANCE_VALUE\tATTRIBUTE_RANK\n\tHOUSEHOLD_SIZE\t\t0.17014928025246878\t1\n\tYRS_RESIDENCE\t\t0.09244886662299268\t2\n\tY_BOX_GAMES\t\t0.08022503450917025\t3\n\tOCCUPATION\t\t0.07678543432779558\t4\n\tEDUCATION\t\t0.06920567206282502\t5\n\tHOME_THEATER_PACKAGE\t\t0.05898893337733807\t6\n\tBOOKKEEPING_APPLICATION\t\t0.015801356577374866\t7\n\tOS_DOC_SET_KANJI\t\t0.0\t8\n\tFLAT_PANEL_MONITOR\t\t0.0\t8\n\tBULK_PACK_DISKETTES\t\t0.0\t8\n\tPRINTER_SUPPLIES\t\t0.0\t8\n"}]},"jobName":"paragraph_1580860206645_-1312574037","id":"20200204-235006_458714943","dateCreated":"2018-02-04T03:25:18+0000","dateStarted":"2020-02-07T20:27:47+0000","dateFinished":"2020-02-07T20:27:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Graph the attributes that most highly influence AFFINITY_CARD high responders","text":"%sql\n\n-- Click the barplot icon. Drag ATTRIBUTE_IMPORTANCE_VALUE (AVG) to Values and ATTRIBUTE_NAME to Keys, leaving Groups empty\n\nSELECT * FROM DM$VAAI_EXPLAIN_OUTPUT \n WHERE ATTRIBUTE_IMPORTANCE_VALUE > 0;","user":"MARK","dateUpdated":"2020-02-07T20:27:49+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"ATTRIBUTE_NAME","index":1,"aggr":"sum"}],"values":[{"name":"ATTRIBUTE_IMPORTANCE_VALUE","index":3,"aggr":"avg"}],"scatter":{"yAxis":{"name":"EXPLANATORY_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PARTITION_NAME":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_IMPORTANCE_VALUE":"string","ATTRIBUTE_RANK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PARTITION_NAME\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tATTRIBUTE_IMPORTANCE_VALUE\tATTRIBUTE_RANK\n\tHOUSEHOLD_SIZE\t\t0.17014928025246878\t1\n\tYRS_RESIDENCE\t\t0.09244886662299268\t2\n\tY_BOX_GAMES\t\t0.08022503450917025\t3\n\tOCCUPATION\t\t0.07678543432779558\t4\n\tEDUCATION\t\t0.06920567206282502\t5\n\tHOME_THEATER_PACKAGE\t\t0.05898893337733807\t6\n\tBOOKKEEPING_APPLICATION\t\t0.015801356577374866\t7\n"}]},"jobName":"paragraph_1580860206645_1715681731","id":"20200204-235006_1400758836","dateCreated":"2019-07-26T19:34:37+0000","dateStarted":"2020-02-07T20:27:48+0000","dateFinished":"2020-02-07T20:27:48+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"text":"%sql\n","user":"MARK","dateUpdated":"2020-02-05T20:44:17+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","fontSize":9},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1580860206645_-182349668","id":"20200204-235006_695052817","dateCreated":"2019-07-26T19:41:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"}],"name":"Attribute Importance","id":"111","noteParams":{},"noteForms":{},"angularObjects":{},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
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+{"paragraphs":[{"text":"%md\n\n## Identify key factors\n\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we build an Attribute Importance model, which uses the Minimum Description Length algorithm, using the SH schema data. All functionality executes inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:17+0000","config":{"tableHide":false,"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Identify key factors
\nOracle Machine Learning supports Attribute Importance to identify key factors (a.k.a. attributes, predictors, variables) that have the most influence on a target attribute. In this example, we build an Attribute Importance model, which uses the Minimum Description Length algorithm, using the SH schema data. All functionality executes inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-1742557148","id":"20200915-183828_1766500418","dateCreated":"2018-02-04T03:14:21+0000","dateStarted":"2020-09-15T23:25:17+0000","dateFinished":"2020-09-15T23:25:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n\n\n
\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:17+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_1835445656","id":"20200915-183828_1070849719","dateCreated":"2018-02-05T21:39:31+0000","dateStarted":"2020-09-15T23:25:17+0000","dateFinished":"2020-09-15T23:25:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOML folder on Github \nOML web page: \nOML Atrribute Importance: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:17+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Atrribute Importance: http://www.oracle.com/goto/ml-feature-selection
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_852271958","id":"20200915-183828_543113531","dateCreated":"2018-02-05T21:39:07+0000","dateStarted":"2020-09-15T23:25:18+0000","dateFinished":"2020-09-15T23:25:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display the SH.SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT * FROM 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Bach.\tProf.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n102036\tAssoc-V\tTechSup\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\t\n100807\tHS-grad\tProf.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n102452\tHS-grad\tCleric.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n103423\tHS-grad\tCleric.\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n100289\t9th\tCrafts\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\t\n102561\t10th\tOther\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\t\n100766\tProfsc\tProf.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n102752\tHS-grad\tExec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n103105\tHS-grad\tProf.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n101209\tHS-grad\tCrafts\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n102055\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\t\n103920\tHS-grad\tCleric.\t9+\t5\t1\t0\t0\t1\t1\t1\t0\t0\t\n100529\tHS-grad\tMachine\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\t\n101791\tMasters\tExec.\t9+\t5\t1\t0\t0\t1\t1\t1\t0\t0\t\n101980\t10th\tProf.\t9+\t6\t0\t0\t0\t1\t0\t1\t0\t0\t\n101378\tMasters\tProf.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\t\n101458\tBach.\tExec.\t4-5\t2\t0\t0\t0\t0\t1\t1\t1\t0\t\n102859\tHS-grad\tHandler\t4-5\t2\t1\t0\t0\t1\t1\t1\t0\t0\t\n100438\tPhD\tProf.\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\t\n101577\t< Bach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\t\n102269\tHS-grad\tCrafts\t4-5\t3\t0\t1\t1\t0\t1\t1\t0\t0\t\n100152\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n100166\t< Bach.\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103318\t< Bach.\tTransp.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103386\tHS-grad\tExec.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n101206\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n104394\tBach.\tProf.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\t\n102436\t< Bach.\tCleric.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n103972\tHS-grad\tExec.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n101727\t< Bach.\tCrafts\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n103805\tHS-grad\tCleric.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\t\n100423\tHS-grad\tProf.\t6-8\t5\t0\t1\t0\t1\t1\t1\t0\t0\t\n102760\t11th\tFarming\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n100125\tBach.\tTechSup\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103432\t< Bach.\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101602\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103479\t< Bach.\tFarming\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103651\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100129\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101890\tHS-grad\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103756\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100076\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100200\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103771\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104406\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103964\t< Bach.\tMachine\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100858\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103993\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101405\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100180\t< Bach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100187\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101008\tHS-grad\tMachine\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100576\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101624\t< Bach.\tOther\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100460\t< Bach.\tCrafts\t1\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103948\t< Bach.\tCleric.\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101724\tHS-grad\tMachine\t1\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102976\tHS-grad\tHandler\t1\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100930\tBach.\tProf.\t2\t0\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104082\tBach.\tProf.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103028\tBach.\tCleric.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100743\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103553\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101440\tBach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100825\tBach.\tProtec.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102344\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102672\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104416\tHS-grad\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100030\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100011\t9th\tFarming\t2\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103952\t11th\tTransp.\t2\t3\t0\t1\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101979\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100218\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102255\tHS-grad\tOther\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101675\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104048\tHS-grad\tSales\t2\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102146\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100832\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102639\tHS-grad\tHouse-s\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100410\t10th\tTransp.\t2\t4\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102327\tBach.\tSales\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101977\t< Bach.\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102872\tAssoc-V\tTechSup\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103401\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103431\tHS-grad\tHandler\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102234\tBach.\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101820\tBach.\tFarming\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100625\t< Bach.\tCrafts\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101340\t< Bach.\tCleric.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104128\tAssoc-A\tTechSup\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100645\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103455\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102369\tAssoc-V\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100771\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103604\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102313\tHS-grad\tExec.\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103742\tMasters\tProf.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104310\tAssoc-A\tExec.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103152\tHS-grad\tCrafts\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103141\tBach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104225\t5th-6th\tMachine\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102558\t7th-8th\tFarming\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103557\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104172\t< Bach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101880\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102291\t< Bach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102456\tHS-grad\tExec.\t3\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100585\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101133\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102191\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100182\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100398\tBach.\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100850\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104284\tAssoc-A\tFarming\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102781\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102782\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100691\tHS-grad\tHandler\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102686\t< Bach.\tProf.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100908\tHS-grad\tHandler\t3\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101415\tPhD\tCrafts\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103634\tBach.\t?\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104328\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n101168\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102693\tHS-grad\tProtec.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100815\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103441\tBach.\tTechSup\t9+\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104063\t< Bach.\tSales\t9+\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102691\t9th\tOther\t9+\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n101368\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101283\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103275\tHS-grad\tMachine\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102745\t< Bach.\t?\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100615\tHS-grad\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101753\tAssoc-A\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102061\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101337\tHS-grad\tCrafts\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101427\tHS-grad\tMachine\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102162\tAssoc-V\tCleric.\t4-5\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101915\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n103442\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n100018\t< Bach.\tHandler\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t1\tI love the new on-line documentation.\n103870\tHS-grad\tOther\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102454\tBach.\tProf.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103529\tHS-grad\tExec.\t4-5\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102213\tHS-grad\tMachine\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102121\t11th\tCrafts\t6-8\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103359\tHS-grad\tCrafts\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100592\tHS-grad\tTransp.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102810\t< Bach.\tOther\t2\t3\t1\t0\t0\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n101413\t< Bach.\tExec.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101565\tMasters\tExec.\t2\t5\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103052\tBach.\tProf.\t3\t1\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101113\tBach.\tProf.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101080\t< Bach.\tCleric.\t3\t3\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n100989\t< Bach.\tTransp.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104347\tAssoc-A\tTechSup\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104325\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n100254\tBach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102695\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103337\tBach.\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101009\tBach.\tSales\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102881\tProfsc\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101755\t< Bach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100704\t< Bach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103134\tAssoc-V\tTransp.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102855\tHS-grad\tMachine\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102161\tMasters\tProf.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101049\tProfsc\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101917\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102679\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104334\t< Bach.\tCrafts\t3\t5\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101747\t< Bach.\tProtec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100812\t< Bach.\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100668\tMasters\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103071\tBach.\tExec.\t3\t6\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101361\tBach.\tCrafts\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104433\tBach.\tCleric.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102499\tHS-grad\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102670\tHS-grad\tTransp.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101708\tPhD\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100081\tBach.\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101145\tProfsc\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100276\t< Bach.\tSales\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103219\tMasters\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103579\tBach.\tExec.\t3\t9\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100658\tAssoc-A\tCrafts\t9+\t2\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n103991\t11th\tOther\t9+\t5\t1\t1\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n101817\tPhD\tProf.\t9+\t8\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100232\tBach.\tSales\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100486\tMasters\tProf.\t4-5\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102210\tMasters\tCleric.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101339\tMasters\tProf.\t2\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102280\tBach.\tSales\t2\t5\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100716\tBach.\t?\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100037\tProfsc\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101912\t< Bach.\tCrafts\t2\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102023\tMasters\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102220\t< Bach.\tCrafts\t2\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100101\tBach.\tProf.\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101991\t10th\tMachine\t3\t4\t1\t1\t1\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101737\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101780\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103568\tAssoc-V\tCrafts\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103549\tHS-grad\tCrafts\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103570\tMasters\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101289\t10th\tTransp.\t3\t5\t1\t1\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103925\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101793\tBach.\tProf.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102616\tHS-grad\tSales\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102519\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101781\tMasters\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102595\tMasters\tCleric.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102461\tBach.\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101444\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103657\tBach.\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102634\t< Bach.\tMachine\t3\t6\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103045\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103256\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101813\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102075\tHS-grad\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102979\tBach.\tExec.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101541\tAssoc-V\tCrafts\t3\t8\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102539\t9th\tTransp.\t3\t9\t1\t0\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103781\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101429\t11th\tFarming\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n101062\t< Bach.\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100321\t11th\tSales\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103851\t11th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n104366\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n100113\t12th\tCleric.\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103217\t< Bach.\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103409\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101319\tHS-grad\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102382\tHS-grad\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103015\tBach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102520\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101471\tHS-grad\tOther\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102682\tHS-grad\tSales\t1\t2\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102318\tHS-grad\tCrafts\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103490\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100799\tHS-grad\tCrafts\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101436\tHS-grad\tCleric.\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103582\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104360\t< Bach.\tExec.\t2\t0\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104309\tBach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103927\t< Bach.\t?\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104181\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102593\tHS-grad\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100755\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100643\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102582\t5th-6th\tTransp.\t2\t3\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102018\t< Bach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100304\tAssoc-A\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102909\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100993\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100992\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103247\tHS-grad\tHandler\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100119\tBach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104027\t< Bach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100946\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103397\tHS-grad\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101930\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102143\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103147\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102317\tHS-grad\tMachine\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104464\tBach.\tCleric.\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101120\t< Bach.\tExec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102373\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100269\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101608\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102673\tAssoc-V\tProf.\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102912\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103354\tHS-grad\tFarming\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104039\tHS-grad\tMachine\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102957\tMasters\t?\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100708\tHS-grad\tHouse-s\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103735\t< Bach.\tCleric.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104272\tAssoc-V\tOther\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100537\tHS-grad\tCleric.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102647\tHS-grad\tExec.\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101729\tBach.\tExec.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103611\tMasters\tProf.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103451\t< Bach.\t?\t3\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102336\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104089\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103726\t< Bach.\tProtec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103013\tAssoc-V\tHandler\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100857\tHS-grad\tOther\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102509\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100204\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103765\tHS-grad\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102738\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n100441\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103819\t< Bach.\tProtec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101211\tAssoc-A\tTransp.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100556\tAssoc-V\tProtec.\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100729\tHS-grad\tOther\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103947\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103827\tHS-grad\tHandler\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102924\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103170\tHS-grad\tTransp.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102298\t12th\tCleric.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104146\tBach.\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100219\t1st-4th\tOther\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102811\t1st-4th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101964\t7th-8th\tTransp.\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104399\t< Bach.\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104294\t< Bach.\tTransp.\t3\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100151\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102233\tHS-grad\tHandler\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101524\tHS-grad\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100767\t9th\tOther\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101554\t< Bach.\tSales\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103187\tHS-grad\t?\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100112\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102971\tHS-grad\tCrafts\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101974\tHS-grad\tFarming\t3\t7\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102183\t< Bach.\tProf.\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104392\tHS-grad\tSales\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100291\t< Bach.\tOther\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102677\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100703\t< Bach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102432\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103208\t< Bach.\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103469\tAssoc-V\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104148\tAssoc-V\tTechSup\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103625\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102074\tHS-grad\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100808\tHS-grad\tMachine\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100851\tHS-grad\tTechSup\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100631\t< Bach.\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101740\t< Bach.\tExec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104422\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103382\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104391\t11th\tHandler\t9+\t5\t0\t1\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103253\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100618\t7th-8th\tMachine\t9+\t8\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102051\tHS-grad\tCleric.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102372\t< Bach.\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102229\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102287\tHS-grad\t?\t4-5\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100647\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103209\t< Bach.\tSales\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103995\t< Bach.\tCrafts\t4-5\t5\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102805\t10th\tExec.\t4-5\t6\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102652\t12th\tSales\t6-8\t3\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102218\tAssoc-V\tCleric.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100913\tHS-grad\tSales\t6-8\t7\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103994\t< Bach.\tExec.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101752\t< Bach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100349\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103212\tHS-grad\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101370\t11th\t?\t1\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104415\t7th-8th\tMachine\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103897\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101568\t< Bach.\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102714\t< Bach.\tMachine\t1\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100492\tHS-grad\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103051\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103546\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103227\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102820\tHS-grad\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101545\t< Bach.\tExec.\t2\t1\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101261\t10th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100505\t< Bach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103167\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104280\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101539\tAssoc-A\t?\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101076\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100257\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101508\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101245\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102042\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101218\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103438\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103109\t< Bach.\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100557\tAssoc-A\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102549\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103106\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101236\tHS-grad\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103117\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102237\tProfsc\tProf.\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101591\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104291\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100881\t< Bach.\tProtec.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101259\tHS-grad\tOther\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100591\tHS-grad\tSales\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100904\tHS-grad\tSales\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103690\tMasters\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100008\t< Bach.\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103044\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101943\t< Bach.\tProtec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104453\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103122\tHS-grad\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103669\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100575\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103202\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102825\t10th\tMachine\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100563\tBach.\tProf.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100968\tBach.\tProf.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102144\t< Bach.\tCrafts\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101205\t< Bach.\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103182\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100905\tBach.\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103201\tBach.\tTransp.\t2\t10\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101961\tBach.\tOther\t3\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101656\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102865\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102921\tHS-grad\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103482\tBach.\tProf.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101237\tBach.\tSales\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102356\tBach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102288\t7th-8th\tTransp.\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101537\t< Bach.\tExec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103715\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103257\tAssoc-V\tProf.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101182\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102860\tHS-grad\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102592\tHS-grad\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102611\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100124\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100407\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103709\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103716\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103497\tBach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102913\t< Bach.\tProtec.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104255\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100305\tHS-grad\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102735\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101404\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100560\t< Bach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103647\tAssoc-A\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103400\tAssoc-V\tFarming\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101604\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101986\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103344\tHS-grad\tMachine\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101154\t1st-4th\tFarming\t3\t6\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101521\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100050\t12th\tMachine\t9+\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101847\t11th\tCleric.\t9+\t3\t0\t1\t0\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101709\tBach.\tSales\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102537\t< Bach.\tProtec.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102846\t< Bach.\tTransp.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102835\tAssoc-V\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103108\tHS-grad\tCrafts\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102357\t10th\tCleric.\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103115\tBach.\tProf.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101497\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103131\tHS-grad\tExec.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100789\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102532\tHS-grad\tMachine\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102848\t< Bach.\t?\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101298\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103896\t< Bach.\tCleric.\t9+\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100247\tHS-grad\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104485\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101610\t11th\tHandler\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102986\t< Bach.\tProf.\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101344\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104086\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102410\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103612\tAssoc-A\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102599\t12th\tHandler\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100678\tBach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100454\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102115\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101423\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103831\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102207\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100043\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104409\tHS-grad\tCrafts\t1\t2\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102199\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103030\tBach.\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101111\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101714\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103752\t< Bach.\tCleric.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102427\t< Bach.\tProtec.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101921\tBach.\tOther\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104405\t< Bach.\tTechSup\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100337\t7th-8th\t?\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104411\t7th-8th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102590\t< Bach.\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100935\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101171\t< Bach.\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103414\tAssoc-A\tCleric.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100902\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101223\tHS-grad\tSales\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103248\tBach.\tExec.\t2\t3\t0\t1\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104024\tBach.\tProf.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102597\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103567\tBach.\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104143\t< Bach.\tMachine\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104497\tHS-grad\tExec.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101658\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102584\tHS-grad\tSales\t2\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100138\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100311\tBach.\tSales\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102259\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101929\tHS-grad\tMachine\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101843\tBach.\tProf.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102458\tBach.\tFarming\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101150\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102990\tMasters\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100546\t< Bach.\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102896\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102390\t< Bach.\tProtec.\t2\t7\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100680\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103475\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102555\tBach.\tExec.\t2\t14\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101432\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104357\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100747\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100707\t< Bach.\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104057\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100099\tHS-grad\tTechSup\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100910\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101282\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102004\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100705\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104198\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101093\t9th\tTransp.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102585\tPhD\tProf.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103821\tBach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104221\tAssoc-V\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103139\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100108\tMasters\tOther\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101148\t< Bach.\tExec.\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103457\tAssoc-A\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102918\tHS-grad\tProf.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100681\tBach.\t?\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101685\tHS-grad\tCrafts\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103916\t1st-4th\tTransp.\t3\t8\t0\t1\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103836\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102763\t< Bach.\tFarming\t3\t11\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100572\tBach.\tMachine\t9+\t1\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100610\tHS-grad\tTransp.\t9+\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102419\t7th-8th\tFarming\t9+\t2\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103869\t< Bach.\tCleric.\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101278\t11th\tMachine\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100336\tBach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103963\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102209\tHS-grad\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103630\tHS-grad\tOther\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103783\tHS-grad\tSales\t9+\t3\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103872\t10th\tCrafts\t9+\t4\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102857\tBach.\tProf.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103797\t< Bach.\tOther\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100711\t< Bach.\tCleric.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101857\t< Bach.\tProtec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104139\tMasters\tProf.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102701\t1st-4th\tProf.\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104208\t< Bach.\tExec.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102035\t< Bach.\tSales\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100587\t< Bach.\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102299\tHS-grad\tExec.\t9+\t5\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100745\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100570\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103533\tHS-grad\tCleric.\t9+\t10\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103577\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103357\t< Bach.\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100885\tHS-grad\t?\t6-8\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101750\tAssoc-V\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103687\tHS-grad\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100761\tAssoc-A\tOther\t6-8\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101919\t10th\tCrafts\t6-8\t4\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101097\tBach.\tTechSup\t6-8\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101597\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103780\t12th\t?\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103233\tBach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104403\t1st-4th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100181\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104191\t< Bach.\tSales\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101631\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103976\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101095\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103841\t< Bach.\tMachine\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103956\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100604\tHS-grad\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104004\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103293\tHS-grad\tFarming\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104109\tHS-grad\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102315\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103544\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102870\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101032\tHS-grad\tCrafts\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101779\tHS-grad\tSales\t1\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103842\tBach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100861\tBach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102308\t< Bach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102526\t< Bach.\tMachine\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102231\t< Bach.\tTransp.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104012\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100148\t7th-8th\tOther\t2\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103465\t< Bach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101985\tAssoc-A\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101920\tHS-grad\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100275\tBach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100515\tProfsc\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103959\t1st-4th\tExec.\t2\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104491\t< Bach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103875\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104247\t10th\tMachine\t2\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100087\tBach.\tProf.\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104222\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102516\t< Bach.\tProf.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103119\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103345\tHS-grad\tTransp.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103971\t10th\tProtec.\t2\t6\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102274\t11th\t?\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101895\t11th\tOther\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101994\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103236\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100841\tHS-grad\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100431\t< Bach.\tCrafts\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104108\tAssoc-V\t?\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100217\tHS-grad\tFarming\t2\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100387\t7th-8th\tCrafts\t3\t1\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103606\t11th\tTransp.\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104171\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101637\tAssoc-V\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101107\tHS-grad\tProtec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101348\tBach.\tExec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102983\tBach.\tMachine\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102625\t< Bach.\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102768\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100906\tMasters\tProf.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102482\t11th\tCrafts\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102059\t11th\tTransp.\t3\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101166\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103955\tHS-grad\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102944\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101011\t10th\tTransp.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100283\t11th\tExec.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101638\tBach.\tSales\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104266\tBach.\tSales\t3\t6\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100058\t< Bach.\tFarming\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103468\tAssoc-A\tProf.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103392\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102756\tHS-grad\tFarming\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101243\t11th\t?\t9+\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101244\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103909\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101710\t12th\tHandler\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100619\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102864\t11th\tOther\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101623\t12th\tHouse-s\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103368\t7th-8th\tCrafts\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103325\tHS-grad\tTransp.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101265\tMasters\tProtec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103576\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100571\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103175\tBach.\tCleric.\t4-5\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103192\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100954\tProfsc\tSales\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102411\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101099\t9th\tSales\t6-8\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101957\tHS-grad\tTransp.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100722\tAssoc-V\tExec.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103273\tHS-grad\tCleric.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101522\tMasters\tProf.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100323\t< Bach.\tProf.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103290\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103085\tAssoc-V\tExec.\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104216\tBach.\tExec.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104474\tBach.\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102882\tHS-grad\tExec.\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102242\tMasters\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101400\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102394\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102868\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100838\tBach.\tExec.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100709\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100853\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103308\tBach.\tSales\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101239\t< Bach.\tCrafts\t3\t4\t1\t1\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101012\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103317\tHS-grad\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103935\tHS-grad\tMachine\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100406\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103799\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102850\tBach.\tSales\t3\t5\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103548\t< Bach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103816\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100063\tHS-grad\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103914\t10th\tCrafts\t3\t6\t1\t1\t1\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102501\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103346\tBach.\tProf.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101735\tAssoc-A\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100950\tHS-grad\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100233\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102731\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101699\tBach.\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101086\tProfsc\tProf.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101679\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100266\tAssoc-A\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102641\tHS-grad\tExec.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104345\tHS-grad\tTransp.\t3\t7\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102230\tPhD\tProf.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100372\t< Bach.\tExec.\t3\t10\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104298\tMasters\tSales\t3\t10\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103747\tAssoc-A\tProf.\t9+\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100727\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103537\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102112\tAssoc-A\tCleric.\t4-5\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102708\tBach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102418\tHS-grad\tMachine\t4-5\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100816\tMasters\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102468\t< Bach.\tProf.\t4-5\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102165\t< Bach.\tCleric.\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100330\tMasters\t?\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100540\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100009\tBach.\tProf.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103563\t< Bach.\tCrafts\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102919\tHS-grad\tCrafts\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104288\tHS-grad\tTechSup\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103353\tPhD\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103062\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103723\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102324\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100173\tAssoc-A\tProf.\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102994\tHS-grad\tTransp.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102796\tPhD\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102275\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103706\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102643\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100997\t< Bach.\tSales\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103601\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101373\t< Bach.\tFarming\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101826\tAssoc-A\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100629\tAssoc-V\tCrafts\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101214\tHS-grad\tOther\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103898\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100528\t< Bach.\tTechSup\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104090\tMasters\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103277\tHS-grad\tFarming\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102720\tHS-grad\tProtec.\t3\t12\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101219\t< Bach.\tExec.\t4-5\t1\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100769\tBach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100035\tBach.\tProf.\t4-5\t4\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101116\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104081\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101694\t12th\tCleric.\t4-5\t5\t1\t1\t1\t1\t0\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100335\t10th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101905\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101588\t< Bach.\tProf.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101896\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102807\tHS-grad\t?\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101424\tBach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101628\t< Bach.\t?\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100284\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101060\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103507\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104205\t< Bach.\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103295\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100728\tHS-grad\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102054\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101281\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101394\t9th\tOther\t1\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101220\t11th\tMachine\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103809\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102337\tBach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104330\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102328\t< Bach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102043\t< Bach.\tOther\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101212\t< Bach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104184\tHS-grad\t?\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102822\tHS-grad\tCrafts\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101936\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100248\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102292\t< Bach.\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103938\t< Bach.\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102800\t< Bach.\tMachine\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102988\tHS-grad\tOther\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103918\tHS-grad\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100483\tHS-grad\tHandler\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101953\tBach.\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100411\tAssoc-V\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102799\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103025\tHS-grad\tFarming\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103659\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102776\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100367\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103703\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101248\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100092\tBach.\tHandler\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102659\t< Bach.\tSales\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101180\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104055\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102113\tHS-grad\t?\t3\t0\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101634\tBach.\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100836\t< Bach.\tFarming\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104252\t11th\tSales\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103804\t11th\tCrafts\t3\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101317\tProfsc\tExec.\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102750\t7th-8th\tOther\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102335\t7th-8th\tHandler\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101768\t< Bach.\tCrafts\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102920\tAssoc-V\tCleric.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102631\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103855\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103998\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103404\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101955\tHS-grad\tTransp.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100445\t9th\tOther\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101159\t11th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101646\tBach.\tTechSup\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100746\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101516\t< Bach.\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102531\t< Bach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104393\t< Bach.\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100928\tHS-grad\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101318\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100344\tBach.\tProf.\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103303\tBach.\tTechSup\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103410\t5th-6th\tMachine\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100999\t7th-8th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103191\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102071\tBach.\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101403\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102492\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102675\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104141\t< Bach.\tTechSup\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100450\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102170\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102152\tHS-grad\t?\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104076\t< Bach.\tExec.\t3\t8\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102964\t< Bach.\tExec.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_318767915","id":"20200915-183828_916321617","dateCreated":"2018-02-04T03:14:49+0000","dateStarted":"2020-09-15T23:25:18+0000","dateFinished":"2020-09-15T23:25:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"List column in the SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COLUMN_ID ID, COLUMN_NAME NAME, DATA_TYPE TYPE, DATA_LENGTH LENGTH\nFROM ALL_TAB_COLUMNS \nWHERE OWNER='SH' AND TABLE_NAME='SUPPLEMENTARY_DEMOGRAPHICS'\nORDER BY COLUMN_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:18+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"ID":"string","NAME":"string","TYPE":"string","LENGTH":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ID\tNAME\tTYPE\tLENGTH\n1\tCUST_ID\tNUMBER\t22\n2\tEDUCATION\tVARCHAR2\t21\n3\tOCCUPATION\tVARCHAR2\t21\n4\tHOUSEHOLD_SIZE\tVARCHAR2\t21\n5\tYRS_RESIDENCE\tNUMBER\t22\n6\tAFFINITY_CARD\tNUMBER\t22\n7\tBULK_PACK_DISKETTES\tNUMBER\t22\n8\tFLAT_PANEL_MONITOR\tNUMBER\t22\n9\tHOME_THEATER_PACKAGE\tNUMBER\t22\n10\tBOOKKEEPING_APPLICATION\tNUMBER\t22\n11\tPRINTER_SUPPLIES\tNUMBER\t22\n12\tY_BOX_GAMES\tNUMBER\t22\n13\tOS_DOC_SET_KANJI\tNUMBER\t22\n14\tCOMMENTS\tVARCHAR2\t4000\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-601276468","id":"20200915-183828_170480504","dateCreated":"2019-08-07T20:28:10+0000","dateStarted":"2020-09-15T23:25:19+0000","dateFinished":"2020-09-15T23:25:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Count the Number of Records in SH.SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COUNT(*) FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:19+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":92.0547,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNT(*)\n4500\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-1002644496","id":"20200915-183828_724439788","dateCreated":"2019-07-22T16:43:59+0000","dateStarted":"2020-09-15T23:25:19+0000","dateFinished":"2020-09-15T23:25:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Create a pie chart for EDUCATION levels","text":"%sql \n-- Click the pie chart icon and expand settings. Drag EDUCATION to Keys and NUM_CUSTOMERS to Values. Leave Groups empty. \n-- HINT : Try selecting/deselecting the categories by clicking on the colored circles in the pie chart legend. \n-- HINT : Try changing the pie chart to a bar chart.\n\nSELECT COUNT(CUST_ID) AS NUM_CUSTOMERS, EDUCATION \n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS \n GROUP BY EDUCATION;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:20+0000","config":{"colWidth":8,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"pieChart","optionOpen":false,"keys":[{"name":"EDUCATION","index":1,"aggr":"sum"}],"values":[{"name":"NUM_CUSTOMERS","index":0,"aggr":"sum"}],"scatter":{"yAxis":{"name":"EDUCATION","index":1,"aggr":"sum"},"xAxis":{"name":"TOTAL","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"pieChart":{}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"NUM_CUSTOMERS\tEDUCATION\n122\t10th\n94\tProfsc\n172\tAssoc-A\n52\t12th\n3\tPresch.\n1041\t< Bach.\n76\t9th\n779\tBach.\n190\tMasters\n49\tPhD\n17\t1st-4th\n1462\tHS-grad\n39\t5th-6th\n121\t11th\n196\tAssoc-V\n87\t7th-8th\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-1094557110","id":"20200915-183828_1898108971","dateCreated":"2018-02-04T03:16:46+0000","dateStarted":"2020-09-15T23:25:20+0000","dateFinished":"2020-09-15T23:25:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Create DEMOGRAPHICS_V view","text":"%script\n\nCREATE OR REPLACE VIEW DEMOGRAPHICS_V\n AS (SELECT AFFINITY_CARD, BOOKKEEPING_APPLICATION, BULK_PACK_DISKETTES,\n CUST_ID, EDUCATION, FLAT_PANEL_MONITOR, \n HOME_THEATER_PACKAGE, HOUSEHOLD_SIZE, OCCUPATION,\n OS_DOC_SET_KANJI, PRINTER_SUPPLIES, \n YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS);\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:20+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView DEMOGRAPHICS_V created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_1901640611","id":"20200915-183828_676109347","dateCreated":"2018-02-05T21:41:37+0000","dateStarted":"2020-09-15T23:25:20+0000","dateFinished":"2020-09-15T23:25:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Drop, then compute Attribute Importance to predict AFFINITY_CARD","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('AI_EXPLAIN_OUTPUT');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_AI_MDL';\n V_setlst('PREP_AUTO') := 'ON';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'AI_EXPLAIN_OUTPUT',\n MINING_FUNCTION => 'ATTRIBUTE_IMPORTANCE',\n DATA_QUERY => 'select * from DEMOGRAPHICS_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => 'AFFINITY_CARD');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:20+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"lineNumbers":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-531678543","id":"20200915-183828_1757329601","dateCreated":"2019-07-25T12:53:32+0000","dateStarted":"2020-09-15T23:25:21+0000","dateFinished":"2020-09-15T23:25:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display attributes that most highly influence AFFINITY_CARD high responders","text":"%sql\n\n-- HINT: To see the model view, select * from DM$VA[model_name] \n-- NOTE: PARTITION_NAME could optionally be used to build multiple models partitioned by another attribute e.g. HOUSEHOLD_SIZE\n-- NOTE: The last two attributes have importance value zero, meaning they do not appear to have any predictive value to the target\n\nSELECT * FROM DM$VAAI_EXPLAIN_OUTPUT;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:21+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{"yAxis":{"name":"EXPLANATORY_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PARTITION_NAME":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_IMPORTANCE_VALUE":"string","ATTRIBUTE_RANK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PARTITION_NAME\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tATTRIBUTE_IMPORTANCE_VALUE\tATTRIBUTE_RANK\n\tHOUSEHOLD_SIZE\t\t0.17020901422481358\t1\n\tYRS_RESIDENCE\t\t0.09263171222605261\t2\n\tY_BOX_GAMES\t\t0.08047519052735323\t3\n\tOCCUPATION\t\t0.07326430194812888\t4\n\tHOME_THEATER_PACKAGE\t\t0.05947446169132723\t5\n\tEDUCATION\t\t0.055244835630926394\t6\n\tBOOKKEEPING_APPLICATION\t\t0.01579747971902341\t7\n\tOS_DOC_SET_KANJI\t\t0.0\t8\n\tFLAT_PANEL_MONITOR\t\t0.0\t8\n\tBULK_PACK_DISKETTES\t\t0.0\t8\n\tPRINTER_SUPPLIES\t\t0.0\t8\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_-1692980503","id":"20200915-183828_861699656","dateCreated":"2018-02-04T03:25:18+0000","dateStarted":"2020-09-15T23:25:22+0000","dateFinished":"2020-09-15T23:25:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Graph the attributes that most highly influence AFFINITY_CARD high responders","text":"%sql\n\n-- Click the barplot icon. Drag ATTRIBUTE_IMPORTANCE_VALUE (AVG) to Values and ATTRIBUTE_NAME to Keys, leaving Groups empty\n\nSELECT * \nFROM DM$VAAI_EXPLAIN_OUTPUT \nWHERE ATTRIBUTE_IMPORTANCE_VALUE > 0;","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:23+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"ATTRIBUTE_NAME","index":1,"aggr":"sum"}],"values":[{"name":"ATTRIBUTE_IMPORTANCE_VALUE","index":3,"aggr":"avg"}],"scatter":{"yAxis":{"name":"EXPLANATORY_VALUE","index":1,"aggr":"sum"},"xAxis":{"name":"ATTRIBUTE_NAME","index":0,"aggr":"sum"}},"groups":[],"height":300,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PARTITION_NAME":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_IMPORTANCE_VALUE":"string","ATTRIBUTE_RANK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}],"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"PARTITION_NAME\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tATTRIBUTE_IMPORTANCE_VALUE\tATTRIBUTE_RANK\n\tHOUSEHOLD_SIZE\t\t0.17020901422481358\t1\n\tYRS_RESIDENCE\t\t0.09263171222605261\t2\n\tY_BOX_GAMES\t\t0.08047519052735323\t3\n\tOCCUPATION\t\t0.07326430194812888\t4\n\tHOME_THEATER_PACKAGE\t\t0.05947446169132723\t5\n\tEDUCATION\t\t0.055244835630926394\t6\n\tBOOKKEEPING_APPLICATION\t\t0.01579747971902341\t7\n"}]},"interrupted":false,"jobName":"paragraph_1600195108219_563520751","id":"20200915-183828_1423448968","dateCreated":"2019-07-26T19:34:37+0000","dateStarted":"2020-09-15T23:25:22+0000","dateFinished":"2020-09-15T23:25:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"text":"%md\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:25:22+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
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\ No newline at end of file
diff --git a/machine-learning/notebooks/sql/OML4SQL_Classification.json b/machine-learning/notebooks/sql/OML4SQL_Classification.json
index ac3d2290..de603d4a 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Classification.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Classification.json
@@ -1 +1 @@
-{"paragraphs":[{"title":"","text":"%md\n## Predicting Target Customers using Classification\n\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program. High Affinity Card responders (target value = 1) are defined as those customers who when given a loyaly or affinity card hyper-respond i.e. they increae their purchasing higher than the Affinity Card program's offered discount percentage. This notebook builds and applies classification decision tree models using the SH schema data. All processing occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:28:57+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"title":false,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Predicting Target Customers using Classification
\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program. High Affinity Card responders (target value = 1) are defined as those customers who when given a loyaly or affinity card hyper-respond i.e. they increae their purchasing higher than the Affinity Card program's offered discount percentage. This notebook builds and applies classification decision tree models using the SH schema data. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580939473681_-513012930","id":"20200205-215113_150738440","dateCreated":"2018-02-04T02:47:49+0000","dateStarted":"2020-02-07T20:28:58+0000","dateFinished":"2020-02-07T20:28:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md\n\n\n
\n","user":"MARK","dateUpdated":"2020-02-07T20:28:58+0000","config":{"tableHide":false,"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":147},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"jobName":"paragraph_1580939473681_1583297282","id":"20200205-215113_703863476","dateCreated":"2018-02-05T20:44:13+0000","dateStarted":"2020-02-07T20:28:59+0000","dateFinished":"2020-02-07T20:28:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md\nOracle ADWC Documentation \nOracle Machine Learning folder on Github \nOracle Machine Learning web page: ","user":"MARK","dateUpdated":"2020-02-07T20:28:59+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADWC Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
\n"}]},"jobName":"paragraph_1580939473681_-631165033","id":"20200205-215113_1422247357","dateCreated":"2018-02-04T02:47:57+0000","dateStarted":"2020-02-07T20:28:59+0000","dateFinished":"2020-02-07T20:28:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Display the SUPPLEMENTARY_DEMOGRAPHICS data ","text":"%sql\n\nSELECT * FROM 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Bach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\t\n102269\tHS-grad\tCrafts\t4-5\t3\t0\t1\t1\t0\t1\t1\t0\t0\t\n100152\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n100166\t< Bach.\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103318\t< Bach.\tTransp.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103386\tHS-grad\tExec.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n101206\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n104394\tBach.\tProf.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\t\n102436\t< Bach.\tCleric.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n103972\tHS-grad\tExec.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n101727\t< Bach.\tCrafts\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n103805\tHS-grad\tCleric.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\t\n100423\tHS-grad\tProf.\t6-8\t5\t0\t1\t0\t1\t1\t1\t0\t0\t\n102760\t11th\tFarming\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n100125\tBach.\tTechSup\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103432\t< Bach.\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101602\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103479\t< Bach.\tFarming\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103651\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100129\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101890\tHS-grad\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103756\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100076\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100200\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103771\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104406\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103964\t< Bach.\tMachine\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100858\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103993\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101405\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100180\t< Bach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100187\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101008\tHS-grad\tMachine\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100576\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101624\t< Bach.\tOther\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100460\t< Bach.\tCrafts\t1\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103948\t< Bach.\tCleric.\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101724\tHS-grad\tMachine\t1\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102976\tHS-grad\tHandler\t1\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100930\tBach.\tProf.\t2\t0\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104082\tBach.\tProf.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103028\tBach.\tCleric.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100743\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103553\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101440\tBach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100825\tBach.\tProtec.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102344\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102672\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104416\tHS-grad\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100030\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100011\t9th\tFarming\t2\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103952\t11th\tTransp.\t2\t3\t0\t1\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101979\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100218\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102255\tHS-grad\tOther\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101675\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104048\tHS-grad\tSales\t2\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102146\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100832\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102639\tHS-grad\tHouse-s\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100410\t10th\tTransp.\t2\t4\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102327\tBach.\tSales\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101977\t< Bach.\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102872\tAssoc-V\tTechSup\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103401\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103431\tHS-grad\tHandler\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102234\tBach.\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101820\tBach.\tFarming\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100625\t< Bach.\tCrafts\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101340\t< Bach.\tCleric.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104128\tAssoc-A\tTechSup\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100645\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103455\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102369\tAssoc-V\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100771\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103604\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102313\tHS-grad\tExec.\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103742\tMasters\tProf.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104310\tAssoc-A\tExec.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103152\tHS-grad\tCrafts\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103141\tBach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104225\t5th-6th\tMachine\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102558\t7th-8th\tFarming\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103557\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104172\t< Bach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101880\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102291\t< Bach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102456\tHS-grad\tExec.\t3\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100585\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101133\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102191\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100182\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100398\tBach.\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100850\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104284\tAssoc-A\tFarming\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102781\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102782\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100691\tHS-grad\tHandler\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102686\t< Bach.\tProf.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100908\tHS-grad\tHandler\t3\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101415\tPhD\tCrafts\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103634\tBach.\t?\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104328\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n101168\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102693\tHS-grad\tProtec.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100815\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103441\tBach.\tTechSup\t9+\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104063\t< Bach.\tSales\t9+\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102691\t9th\tOther\t9+\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n101368\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101283\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103275\tHS-grad\tMachine\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102745\t< Bach.\t?\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100615\tHS-grad\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101753\tAssoc-A\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102061\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101337\tHS-grad\tCrafts\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101427\tHS-grad\tMachine\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102162\tAssoc-V\tCleric.\t4-5\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101915\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n103442\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n100018\t< Bach.\tHandler\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t1\tI love the new on-line documentation.\n103870\tHS-grad\tOther\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102454\tBach.\tProf.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103529\tHS-grad\tExec.\t4-5\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102213\tHS-grad\tMachine\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102121\t11th\tCrafts\t6-8\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103359\tHS-grad\tCrafts\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100592\tHS-grad\tTransp.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102810\t< Bach.\tOther\t2\t3\t1\t0\t0\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n101413\t< Bach.\tExec.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101565\tMasters\tExec.\t2\t5\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103052\tBach.\tProf.\t3\t1\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101113\tBach.\tProf.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101080\t< Bach.\tCleric.\t3\t3\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n100989\t< Bach.\tTransp.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104347\tAssoc-A\tTechSup\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104325\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n100254\tBach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102695\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103337\tBach.\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101009\tBach.\tSales\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102881\tProfsc\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101755\t< Bach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100704\t< Bach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103134\tAssoc-V\tTransp.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102855\tHS-grad\tMachine\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102161\tMasters\tProf.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101049\tProfsc\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101917\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102679\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104334\t< Bach.\tCrafts\t3\t5\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101747\t< Bach.\tProtec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100812\t< Bach.\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100668\tMasters\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103071\tBach.\tExec.\t3\t6\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101361\tBach.\tCrafts\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104433\tBach.\tCleric.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102499\tHS-grad\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102670\tHS-grad\tTransp.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101708\tPhD\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100081\tBach.\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101145\tProfsc\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100276\t< Bach.\tSales\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103219\tMasters\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103579\tBach.\tExec.\t3\t9\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100658\tAssoc-A\tCrafts\t9+\t2\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n103991\t11th\tOther\t9+\t5\t1\t1\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n101817\tPhD\tProf.\t9+\t8\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100232\tBach.\tSales\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100486\tMasters\tProf.\t4-5\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102210\tMasters\tCleric.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101339\tMasters\tProf.\t2\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102280\tBach.\tSales\t2\t5\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100716\tBach.\t?\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100037\tProfsc\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101912\t< Bach.\tCrafts\t2\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102023\tMasters\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102220\t< Bach.\tCrafts\t2\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100101\tBach.\tProf.\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101991\t10th\tMachine\t3\t4\t1\t1\t1\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101737\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101780\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103568\tAssoc-V\tCrafts\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103549\tHS-grad\tCrafts\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103570\tMasters\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101289\t10th\tTransp.\t3\t5\t1\t1\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103925\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101793\tBach.\tProf.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102616\tHS-grad\tSales\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102519\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101781\tMasters\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102595\tMasters\tCleric.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102461\tBach.\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101444\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103657\tBach.\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102634\t< Bach.\tMachine\t3\t6\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103045\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103256\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101813\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102075\tHS-grad\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102979\tBach.\tExec.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101541\tAssoc-V\tCrafts\t3\t8\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102539\t9th\tTransp.\t3\t9\t1\t0\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103781\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101429\t11th\tFarming\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n101062\t< Bach.\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100321\t11th\tSales\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103851\t11th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n104366\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n100113\t12th\tCleric.\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103217\t< Bach.\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103409\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101319\tHS-grad\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102382\tHS-grad\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103015\tBach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102520\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101471\tHS-grad\tOther\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102682\tHS-grad\tSales\t1\t2\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102318\tHS-grad\tCrafts\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103490\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100799\tHS-grad\tCrafts\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101436\tHS-grad\tCleric.\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103582\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104360\t< Bach.\tExec.\t2\t0\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104309\tBach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103927\t< Bach.\t?\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104181\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102593\tHS-grad\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100755\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100643\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102582\t5th-6th\tTransp.\t2\t3\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102018\t< Bach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100304\tAssoc-A\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102909\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100993\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100992\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103247\tHS-grad\tHandler\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100119\tBach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104027\t< Bach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100946\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103397\tHS-grad\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101930\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102143\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103147\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102317\tHS-grad\tMachine\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104464\tBach.\tCleric.\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101120\t< Bach.\tExec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102373\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100269\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101608\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102673\tAssoc-V\tProf.\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102912\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103354\tHS-grad\tFarming\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104039\tHS-grad\tMachine\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102957\tMasters\t?\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100708\tHS-grad\tHouse-s\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103735\t< Bach.\tCleric.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104272\tAssoc-V\tOther\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100537\tHS-grad\tCleric.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102647\tHS-grad\tExec.\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101729\tBach.\tExec.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103611\tMasters\tProf.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103451\t< Bach.\t?\t3\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102336\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104089\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103726\t< Bach.\tProtec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103013\tAssoc-V\tHandler\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100857\tHS-grad\tOther\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102509\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100204\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103765\tHS-grad\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102738\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n100441\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103819\t< Bach.\tProtec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101211\tAssoc-A\tTransp.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100556\tAssoc-V\tProtec.\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100729\tHS-grad\tOther\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103947\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103827\tHS-grad\tHandler\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102924\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103170\tHS-grad\tTransp.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102298\t12th\tCleric.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104146\tBach.\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100219\t1st-4th\tOther\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102811\t1st-4th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101964\t7th-8th\tTransp.\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104399\t< Bach.\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104294\t< Bach.\tTransp.\t3\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100151\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102233\tHS-grad\tHandler\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101524\tHS-grad\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100767\t9th\tOther\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101554\t< Bach.\tSales\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103187\tHS-grad\t?\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100112\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102971\tHS-grad\tCrafts\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101974\tHS-grad\tFarming\t3\t7\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102183\t< Bach.\tProf.\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104392\tHS-grad\tSales\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100291\t< Bach.\tOther\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102677\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100703\t< Bach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102432\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103208\t< Bach.\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103469\tAssoc-V\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104148\tAssoc-V\tTechSup\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103625\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102074\tHS-grad\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100808\tHS-grad\tMachine\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100851\tHS-grad\tTechSup\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100631\t< Bach.\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101740\t< Bach.\tExec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104422\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103382\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104391\t11th\tHandler\t9+\t5\t0\t1\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103253\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100618\t7th-8th\tMachine\t9+\t8\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102051\tHS-grad\tCleric.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102372\t< Bach.\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102229\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102287\tHS-grad\t?\t4-5\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100647\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103209\t< Bach.\tSales\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103995\t< Bach.\tCrafts\t4-5\t5\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102805\t10th\tExec.\t4-5\t6\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102652\t12th\tSales\t6-8\t3\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102218\tAssoc-V\tCleric.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100913\tHS-grad\tSales\t6-8\t7\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103994\t< Bach.\tExec.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101752\t< Bach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100349\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103212\tHS-grad\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101370\t11th\t?\t1\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104415\t7th-8th\tMachine\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103897\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101568\t< Bach.\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102714\t< Bach.\tMachine\t1\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100492\tHS-grad\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103051\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103546\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103227\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102820\tHS-grad\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101545\t< Bach.\tExec.\t2\t1\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101261\t10th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100505\t< Bach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103167\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104280\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101539\tAssoc-A\t?\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101076\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100257\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101508\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101245\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102042\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101218\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103438\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103109\t< Bach.\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100557\tAssoc-A\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102549\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103106\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101236\tHS-grad\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103117\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102237\tProfsc\tProf.\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101591\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104291\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100881\t< Bach.\tProtec.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101259\tHS-grad\tOther\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100591\tHS-grad\tSales\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100904\tHS-grad\tSales\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103690\tMasters\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100008\t< Bach.\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103044\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101943\t< Bach.\tProtec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104453\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103122\tHS-grad\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103669\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100575\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103202\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102825\t10th\tMachine\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100563\tBach.\tProf.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100968\tBach.\tProf.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102144\t< Bach.\tCrafts\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101205\t< Bach.\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103182\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100905\tBach.\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103201\tBach.\tTransp.\t2\t10\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101961\tBach.\tOther\t3\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101656\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102865\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102921\tHS-grad\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103482\tBach.\tProf.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101237\tBach.\tSales\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102356\tBach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102288\t7th-8th\tTransp.\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101537\t< Bach.\tExec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103715\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103257\tAssoc-V\tProf.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101182\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102860\tHS-grad\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102592\tHS-grad\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102611\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100124\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100407\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103709\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103716\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103497\tBach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102913\t< Bach.\tProtec.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104255\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100305\tHS-grad\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102735\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101404\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100560\t< Bach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103647\tAssoc-A\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103400\tAssoc-V\tFarming\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101604\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101986\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103344\tHS-grad\tMachine\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101154\t1st-4th\tFarming\t3\t6\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101521\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100050\t12th\tMachine\t9+\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101847\t11th\tCleric.\t9+\t3\t0\t1\t0\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101709\tBach.\tSales\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102537\t< Bach.\tProtec.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102846\t< Bach.\tTransp.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102835\tAssoc-V\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103108\tHS-grad\tCrafts\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102357\t10th\tCleric.\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103115\tBach.\tProf.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101497\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103131\tHS-grad\tExec.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100789\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102532\tHS-grad\tMachine\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102848\t< Bach.\t?\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101298\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103896\t< Bach.\tCleric.\t9+\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100247\tHS-grad\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104485\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101610\t11th\tHandler\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102986\t< Bach.\tProf.\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101344\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104086\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102410\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103612\tAssoc-A\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102599\t12th\tHandler\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100678\tBach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100454\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102115\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101423\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103831\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102207\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100043\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104409\tHS-grad\tCrafts\t1\t2\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102199\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103030\tBach.\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101111\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101714\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103752\t< Bach.\tCleric.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102427\t< Bach.\tProtec.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101921\tBach.\tOther\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104405\t< Bach.\tTechSup\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100337\t7th-8th\t?\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104411\t7th-8th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102590\t< Bach.\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100935\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101171\t< Bach.\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103414\tAssoc-A\tCleric.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100902\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101223\tHS-grad\tSales\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103248\tBach.\tExec.\t2\t3\t0\t1\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104024\tBach.\tProf.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102597\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103567\tBach.\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104143\t< Bach.\tMachine\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104497\tHS-grad\tExec.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101658\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102584\tHS-grad\tSales\t2\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100138\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100311\tBach.\tSales\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102259\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101929\tHS-grad\tMachine\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101843\tBach.\tProf.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102458\tBach.\tFarming\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101150\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102990\tMasters\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100546\t< Bach.\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102896\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102390\t< Bach.\tProtec.\t2\t7\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100680\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103475\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102555\tBach.\tExec.\t2\t14\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101432\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104357\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100747\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100707\t< Bach.\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104057\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100099\tHS-grad\tTechSup\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100910\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101282\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102004\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100705\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104198\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101093\t9th\tTransp.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102585\tPhD\tProf.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103821\tBach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104221\tAssoc-V\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103139\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100108\tMasters\tOther\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101148\t< Bach.\tExec.\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103457\tAssoc-A\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102918\tHS-grad\tProf.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100681\tBach.\t?\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101685\tHS-grad\tCrafts\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103916\t1st-4th\tTransp.\t3\t8\t0\t1\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103836\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102763\t< Bach.\tFarming\t3\t11\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100572\tBach.\tMachine\t9+\t1\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100610\tHS-grad\tTransp.\t9+\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102419\t7th-8th\tFarming\t9+\t2\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103869\t< Bach.\tCleric.\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101278\t11th\tMachine\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100336\tBach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103963\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102209\tHS-grad\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103630\tHS-grad\tOther\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103783\tHS-grad\tSales\t9+\t3\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103872\t10th\tCrafts\t9+\t4\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102857\tBach.\tProf.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103797\t< Bach.\tOther\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100711\t< Bach.\tCleric.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101857\t< Bach.\tProtec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104139\tMasters\tProf.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102701\t1st-4th\tProf.\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104208\t< Bach.\tExec.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102035\t< Bach.\tSales\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100587\t< Bach.\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102299\tHS-grad\tExec.\t9+\t5\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100745\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100570\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103533\tHS-grad\tCleric.\t9+\t10\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103577\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103357\t< Bach.\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100885\tHS-grad\t?\t6-8\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101750\tAssoc-V\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103687\tHS-grad\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100761\tAssoc-A\tOther\t6-8\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101919\t10th\tCrafts\t6-8\t4\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101097\tBach.\tTechSup\t6-8\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101597\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103780\t12th\t?\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103233\tBach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104403\t1st-4th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100181\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104191\t< Bach.\tSales\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101631\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103976\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101095\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103841\t< Bach.\tMachine\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103956\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100604\tHS-grad\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104004\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103293\tHS-grad\tFarming\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104109\tHS-grad\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102315\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103544\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102870\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101032\tHS-grad\tCrafts\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101779\tHS-grad\tSales\t1\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103842\tBach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100861\tBach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102308\t< Bach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102526\t< Bach.\tMachine\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102231\t< Bach.\tTransp.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104012\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100148\t7th-8th\tOther\t2\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103465\t< Bach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101985\tAssoc-A\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101920\tHS-grad\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100275\tBach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100515\tProfsc\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103959\t1st-4th\tExec.\t2\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104491\t< Bach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103875\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104247\t10th\tMachine\t2\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100087\tBach.\tProf.\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104222\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102516\t< Bach.\tProf.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103119\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103345\tHS-grad\tTransp.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103971\t10th\tProtec.\t2\t6\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102274\t11th\t?\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101895\t11th\tOther\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101994\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103236\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100841\tHS-grad\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100431\t< Bach.\tCrafts\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104108\tAssoc-V\t?\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100217\tHS-grad\tFarming\t2\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100387\t7th-8th\tCrafts\t3\t1\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103606\t11th\tTransp.\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104171\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101637\tAssoc-V\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101107\tHS-grad\tProtec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101348\tBach.\tExec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102983\tBach.\tMachine\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102625\t< Bach.\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102768\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100906\tMasters\tProf.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102482\t11th\tCrafts\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102059\t11th\tTransp.\t3\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101166\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103955\tHS-grad\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102944\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101011\t10th\tTransp.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100283\t11th\tExec.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101638\tBach.\tSales\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104266\tBach.\tSales\t3\t6\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100058\t< Bach.\tFarming\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103468\tAssoc-A\tProf.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103392\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102756\tHS-grad\tFarming\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101243\t11th\t?\t9+\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101244\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103909\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101710\t12th\tHandler\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100619\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102864\t11th\tOther\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101623\t12th\tHouse-s\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103368\t7th-8th\tCrafts\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103325\tHS-grad\tTransp.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101265\tMasters\tProtec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103576\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100571\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103175\tBach.\tCleric.\t4-5\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103192\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100954\tProfsc\tSales\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102411\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101099\t9th\tSales\t6-8\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101957\tHS-grad\tTransp.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100722\tAssoc-V\tExec.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103273\tHS-grad\tCleric.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101522\tMasters\tProf.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100323\t< Bach.\tProf.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103290\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103085\tAssoc-V\tExec.\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104216\tBach.\tExec.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104474\tBach.\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102882\tHS-grad\tExec.\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102242\tMasters\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101400\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102394\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102868\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100838\tBach.\tExec.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100709\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100853\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103308\tBach.\tSales\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101239\t< Bach.\tCrafts\t3\t4\t1\t1\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101012\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103317\tHS-grad\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103935\tHS-grad\tMachine\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100406\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103799\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102850\tBach.\tSales\t3\t5\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103548\t< Bach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103816\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100063\tHS-grad\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103914\t10th\tCrafts\t3\t6\t1\t1\t1\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102501\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103346\tBach.\tProf.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101735\tAssoc-A\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100950\tHS-grad\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100233\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102731\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101699\tBach.\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101086\tProfsc\tProf.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101679\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100266\tAssoc-A\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102641\tHS-grad\tExec.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104345\tHS-grad\tTransp.\t3\t7\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102230\tPhD\tProf.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100372\t< Bach.\tExec.\t3\t10\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104298\tMasters\tSales\t3\t10\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103747\tAssoc-A\tProf.\t9+\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100727\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103537\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102112\tAssoc-A\tCleric.\t4-5\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102708\tBach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102418\tHS-grad\tMachine\t4-5\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100816\tMasters\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102468\t< Bach.\tProf.\t4-5\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102165\t< Bach.\tCleric.\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100330\tMasters\t?\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100540\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100009\tBach.\tProf.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103563\t< Bach.\tCrafts\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102919\tHS-grad\tCrafts\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104288\tHS-grad\tTechSup\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103353\tPhD\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103062\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103723\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102324\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100173\tAssoc-A\tProf.\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102994\tHS-grad\tTransp.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102796\tPhD\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102275\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103706\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102643\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100997\t< Bach.\tSales\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103601\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101373\t< Bach.\tFarming\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101826\tAssoc-A\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100629\tAssoc-V\tCrafts\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101214\tHS-grad\tOther\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103898\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100528\t< Bach.\tTechSup\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104090\tMasters\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103277\tHS-grad\tFarming\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102720\tHS-grad\tProtec.\t3\t12\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101219\t< Bach.\tExec.\t4-5\t1\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100769\tBach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100035\tBach.\tProf.\t4-5\t4\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101116\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104081\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101694\t12th\tCleric.\t4-5\t5\t1\t1\t1\t1\t0\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100335\t10th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101905\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101588\t< Bach.\tProf.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101896\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102807\tHS-grad\t?\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101424\tBach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101628\t< Bach.\t?\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100284\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101060\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103507\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104205\t< Bach.\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103295\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100728\tHS-grad\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102054\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101281\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101394\t9th\tOther\t1\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101220\t11th\tMachine\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103809\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102337\tBach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104330\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102328\t< Bach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102043\t< Bach.\tOther\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101212\t< Bach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104184\tHS-grad\t?\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102822\tHS-grad\tCrafts\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101936\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100248\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102292\t< Bach.\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103938\t< Bach.\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102800\t< Bach.\tMachine\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102988\tHS-grad\tOther\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103918\tHS-grad\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100483\tHS-grad\tHandler\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101953\tBach.\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100411\tAssoc-V\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102799\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103025\tHS-grad\tFarming\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103659\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102776\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100367\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103703\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101248\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100092\tBach.\tHandler\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102659\t< Bach.\tSales\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101180\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104055\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102113\tHS-grad\t?\t3\t0\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101634\tBach.\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100836\t< Bach.\tFarming\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104252\t11th\tSales\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103804\t11th\tCrafts\t3\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101317\tProfsc\tExec.\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102750\t7th-8th\tOther\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102335\t7th-8th\tHandler\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101768\t< Bach.\tCrafts\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102920\tAssoc-V\tCleric.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102631\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103855\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103998\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103404\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101955\tHS-grad\tTransp.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100445\t9th\tOther\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101159\t11th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101646\tBach.\tTechSup\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100746\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101516\t< Bach.\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102531\t< Bach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104393\t< Bach.\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100928\tHS-grad\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101318\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100344\tBach.\tProf.\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103303\tBach.\tTechSup\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103410\t5th-6th\tMachine\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100999\t7th-8th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103191\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102071\tBach.\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101403\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102492\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102675\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104141\t< Bach.\tTechSup\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100450\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102170\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102152\tHS-grad\t?\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104076\t< Bach.\tExec.\t3\t8\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102964\t< Bach.\tExec.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n"}]},"jobName":"paragraph_1580939473681_118244851","id":"20200205-215113_586056916","dateCreated":"2018-02-04T02:48:08+0000","dateStarted":"2020-02-07T20:29:00+0000","dateFinished":"2020-02-07T20:29:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Count number of records in SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COUNT(*) FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"MARK","dateUpdated":"2020-02-07T20:29:00+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84.0278,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNT(*)\n4500\n"}]},"jobName":"paragraph_1580939473681_-1383761317","id":"20200205-215113_1246399191","dateCreated":"2019-07-22T19:47:24+0000","dateStarted":"2020-02-07T20:29:01+0000","dateFinished":"2020-02-07T20:29:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Show distribution of AFFINITY_CARD responders","text":"%sql\n\n-- In this data set, hyper-responders to the Affinity Card loyalty program are represented as 1's. In this example, we target customers of this type.\n-- Click on the bar chart icon and expand settings. Drag AFFINITY_CARD to Keys, CUST_ID Values, with nothing in Groups. Click CUST_ID in Values and select count. \n\nSELECT CUST_ID, AFFINITY_CARD FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"MARK","dateUpdated":"2020-02-07T20:29:21+0000","config":{"colWidth":8,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"AFFINITY_CARD","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tAFFINITY_CARD\n102547\t0\n101050\t0\n100040\t0\n102117\t0\n101074\t0\n104179\t0\n100417\t0\n101146\t0\n103420\t0\n101987\t0\n101279\t0\n102106\t0\n102591\t0\n101869\t0\n103169\t0\n103552\t0\n101616\t0\n104096\t0\n102171\t0\n100846\t0\n104396\t0\n103297\t0\n102408\t0\n100041\t0\n100925\t0\n103378\t0\n101307\t0\n101005\t0\n102666\t0\n101364\t0\n104452\t0\n104158\t0\n103434\t0\n101933\t0\n102273\t0\n102201\t1\n101207\t0\n103954\t0\n101480\t0\n102837\t0\n100873\t0\n103459\t0\n102303\t0\n102439\t0\n102433\t0\n101202\t0\n101217\t0\n102270\t0\n103116\t0\n101187\t1\n102008\t0\n101247\t0\n103484\t0\n103728\t0\n104200\t0\n101881\t0\n100298\t0\n103968\t0\n104134\t0\n103712\t0\n101738\t0\n100506\t1\n100843\t1\n101586\t0\n100692\t0\n101295\t0\n102263\t0\n101951\t0\n100924\t0\n103835\t0\n103793\t0\n102341\t0\n102784\t0\n101845\t0\n103113\t1\n102389\t0\n102791\t0\n102371\t0\n103551\t0\n101566\t0\n102103\t0\n102753\t0\n100433\t0\n103619\t1\n101777\t1\n100750\t1\n103569\t1\n100656\t0\n103768\t0\n102469\t1\n103778\t1\n101250\t0\n101313\t0\n101181\t0\n101293\t0\n100477\t0\n102936\t0\n100834\t0\n101682\t0\n102603\t0\n101783\t0\n100718\t0\n102368\t1\n100421\t1\n103446\t0\n104117\t1\n101045\t0\n100758\t1\n100522\t1\n102814\t1\n100796\t1\n103509\t0\n101877\t0\n100683\t0\n101020\t0\n101026\t1\n101031\t1\n101846\t1\n101990\t0\n104351\t1\n103792\t0\n101971\t0\n102852\t1\n103137\t1\n102898\t0\n103641\t1\n103981\t0\n101767\t0\n102227\t0\n101419\t0\n102384\t0\n103343\t1\n101900\t0\n101822\t1\n100229\t1\n103311\t0\n100149\t1\n100332\t0\n100425\t1\n102661\t1\n101428\t0\n104462\t0\n104276\t1\n100163\t0\n100408\t0\n104442\t1\n102917\t0\n103365\t1\n100780\t1\n102189\t1\n100442\t1\n104206\t1\n104112\t1\n102749\t0\n102295\t0\n100023\t0\n100470\t0\n101454\t1\n103566\t0\n103674\t1\n101188\t0\n101155\t0\n102770\t0\n103933\t0\n102024\t0\n104037\t0\n103377\t0\n103210\t0\n103168\t0\n104336\t0\n102642\t0\n103075\t0\n101587\t0\n102036\t0\n100807\t0\n102452\t0\n103423\t0\n100289\t0\n102561\t0\n100766\t0\n102752\t0\n103105\t0\n101209\t0\n102055\t0\n103920\t1\n100529\t0\n101791\t1\n101980\t0\n101378\t0\n101458\t0\n102859\t1\n100438\t1\n101577\t1\n102269\t0\n100152\t0\n100166\t1\n103318\t1\n103386\t0\n101206\t1\n104394\t1\n102436\t1\n103972\t1\n101727\t0\n103805\t0\n100423\t0\n102760\t0\n100125\t0\n103432\t0\n101602\t0\n103479\t0\n103651\t0\n100129\t0\n101890\t0\n103756\t0\n100076\t0\n100200\t0\n103771\t0\n104406\t0\n103964\t0\n100858\t0\n103993\t0\n101405\t0\n100180\t0\n100187\t0\n101008\t0\n100576\t0\n101624\t0\n100460\t0\n103948\t0\n101724\t0\n102976\t0\n100930\t0\n104082\t0\n103028\t0\n100743\t0\n103553\t0\n101440\t0\n100825\t0\n102344\t0\n102672\t0\n104416\t0\n100030\t0\n100011\t0\n103952\t0\n101979\t0\n100218\t0\n102255\t0\n101675\t0\n104048\t0\n102146\t0\n100832\t0\n102639\t0\n100410\t0\n102327\t0\n101977\t0\n102872\t0\n103401\t0\n103431\t0\n102234\t0\n101820\t0\n100625\t0\n101340\t0\n104128\t0\n100645\t0\n103455\t0\n102369\t0\n100771\t0\n103604\t0\n102313\t0\n103742\t0\n104310\t0\n103152\t0\n103141\t0\n104225\t0\n102558\t0\n103557\t0\n104172\t0\n101880\t0\n102291\t0\n102456\t0\n100585\t0\n101133\t0\n102191\t0\n100182\t0\n100398\t0\n100850\t0\n104284\t0\n102781\t0\n102782\t0\n100691\t0\n102686\t0\n100908\t0\n101415\t0\n103634\t0\n104328\t0\n101168\t0\n102693\t0\n100815\t0\n103441\t0\n104063\t0\n102691\t0\n101368\t0\n101283\t0\n103275\t0\n102745\t0\n100615\t0\n101753\t0\n102061\t0\n101337\t0\n101427\t0\n102162\t0\n101915\t0\n103442\t0\n100018\t0\n103870\t0\n102454\t0\n103529\t0\n102213\t0\n102121\t0\n103359\t0\n100592\t0\n102810\t1\n101413\t1\n101565\t1\n103052\t1\n101113\t1\n101080\t1\n100989\t1\n104347\t1\n104325\t1\n100254\t1\n102695\t1\n103337\t1\n101009\t1\n102881\t1\n101755\t1\n100704\t1\n103134\t1\n102855\t1\n102161\t1\n101049\t1\n101917\t1\n102679\t1\n104334\t1\n101747\t1\n100812\t1\n100668\t1\n103071\t1\n101361\t1\n104433\t1\n102499\t1\n102670\t1\n101708\t1\n100081\t1\n101145\t1\n100276\t1\n103219\t1\n103579\t1\n100658\t1\n103991\t1\n101817\t1\n100232\t1\n100486\t1\n102210\t1\n101339\t1\n102280\t1\n100716\t1\n100037\t1\n101912\t1\n102023\t1\n102220\t1\n100101\t1\n101991\t1\n101737\t1\n101780\t1\n103568\t1\n103549\t1\n103570\t1\n101289\t1\n103925\t1\n101793\t1\n102616\t1\n102519\t1\n101781\t1\n102595\t1\n102461\t1\n101444\t1\n103657\t1\n102634\t1\n103045\t1\n103256\t1\n101813\t1\n102075\t1\n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HOUSEHOLD_SIZE grouped by AFFINITY_CARD responders","text":"%sql\n\n-- Create a Bar chart of HOUSEHOLD_SIZE (Keys), AFFINITY_CARD (Groups), NUM_CUSTOMERS (SUM) (Values)\n\nSELECT COUNT(CUST_ID) AS NUM_CUSTOMERS, HOUSEHOLD_SIZE, AFFINITY_CARD \n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS \n GROUP BY HOUSEHOLD_SIZE, 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view DEMOGRAPHICS4_V with desired columns for analysis","text":"%script\n\nCREATE OR REPLACE VIEW DEMOGRAPHICS4_V \n AS (SELECT AFFINITY_CARD, BOOKKEEPING_APPLICATION, BULK_PACK_DISKETTES, CUST_ID, \n EDUCATION, FLAT_PANEL_MONITOR, HOME_THEATER_PACKAGE, HOUSEHOLD_SIZE, \n OCCUPATION, OS_DOC_SET_KANJI, PRINTER_SUPPLIES, YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS);","user":"MARK","dateUpdated":"2020-02-07T20:29:03+0000","config":{"colWidth":4,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView DEMOGRAPHICS4_V created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580939473681_1365623779","id":"20200205-215113_1877880498","dateCreated":"2018-02-04T02:56:54+0000","dateStarted":"2020-02-07T20:29:04+0000","dateFinished":"2020-02-07T20:29:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Display data from DEMOGRAPHICS4_V view","text":"%sql \n\nSELECT * FROM DEMOGRAPHICS4_V;","user":"MARK","dateUpdated":"2020-02-07T20:29:04+0000","config":{"colWidth":8,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}],"values":[{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"},"xAxis":{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"AFFINITY_CARD":"string","BOOKKEEPING_APPLICATION":"string","BULK_PACK_DISKETTES":"string","CUST_ID":"string","EDUCATION":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","OS_DOC_SET_KANJI":"string","PRINTER_SUPPLIES":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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Bach.\t1\t1\t3\tExec.\t0\t1\t9\t0\n"}]},"jobName":"paragraph_1580939473681_729098604","id":"20200205-215113_1911299498","dateCreated":"2018-02-05T20:34:03+0000","dateStarted":"2020-02-07T20:29:05+0000","dateFinished":"2020-02-07T20:29:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Drop existing objects in preparation for model building","text":"%script\n\nDECLARE\n v_sql varchar2(200);\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\n\nBEGIN\n\n-- Drop apply result\n\nBEGIN\n v_sql := 'DROP TABLE N1_APPLY_RESULT PURGE';\n EXECUTE IMMEDIATE v_sql;\n DBMS_OUTPUT.PUT_LINE (v_sql ||': succeeded');\nEXCEPTION\n WHEN OTHERS THEN\n DBMS_OUTPUT.PUT_LINE (v_sql ||': drop unneccessary - no table exists');\nEND;\n\n\n-- Drop lift result\n\nBEGIN\n v_sql := 'DROP TABLE N1_LIFT_TABLE PURGE';\n EXECUTE IMMEDIATE v_sql;\n DBMS_OUTPUT.PUT_LINE (v_sql ||': succeeded');\nEXCEPTION\n WHEN OTHERS THEN\n DBMS_OUTPUT.PUT_LINE (v_sql ||': drop unneccessary - no table exists');\nEND;\n\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:29:05+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"editorHide":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"DROP TABLE N1_APPLY_RESULT PURGE: succeeded\nDROP TABLE N1_LIFT_TABLE PURGE: succeeded\n\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580939473681_-434561152","id":"20200205-215113_572112287","dateCreated":"2019-08-07T22:28:11+0000","dateStarted":"2020-02-07T20:29:05+0000","dateFinished":"2020-02-07T20:29:06+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Create train and test data sets (60/40) for model build and test","text":"%script\n\n-- Build a classification model and then generate a lift test result and an apply result.\n-- Split the Data into N1_TRAIN_DATA (randomly selected 60% of the data) and N1_TEST_DATA (remaining 40%)\n\nBEGIN \n\nEXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TRAIN_DATA AS SELECT * FROM DEMOGRAPHICS4_V SAMPLE (60) SEED (1)';\nDBMS_OUTPUT.PUT_LINE ('Created N1_TRAIN_DATA');\nEXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TEST_DATA AS SELECT * FROM DEMOGRAPHICS4_V MINUS SELECT * FROM N1_TRAIN_DATA';\nDBMS_OUTPUT.PUT_LINE ('Created N1_TEST_DATA');\n\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:29:06+0000","config":{"tableHide":false,"colWidth":8,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"lineNumbers":false,"fontSize":9},"settings":{"params":{"PREDICTION":"'1'"},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Created N1_TRAIN_DATA\nCreated N1_TEST_DATA\n\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580939473681_-1885693253","id":"20200205-215113_494749573","dateCreated":"2018-02-04T03:05:02+0000","dateStarted":"2020-02-07T20:29:06+0000","dateFinished":"2020-02-07T20:29:06+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Drop, then build a Decision Tree model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('N1_CLASS_MODEL');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\n \nBEGIN\n v_setlst('PREP_AUTO') := 'ON';\n v_setlst('ALGO_NAME') := 'ALGO_DECISION_TREE';\n \n DBMS_DATA_MINING.CREATE_MODEL2(\n 'N1_CLASS_MODEL',\n 'CLASSIFICATION',\n 'SELECT * FROM N1_TRAIN_DATA',\n v_setlst,\n 'CUST_ID',\n 'AFFINITY_CARD');\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:29:06+0000","config":{"tableHide":false,"colWidth":4,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"lineNumbers":false,"editorHide":false,"fontSize":9},"settings":{"params":{"PREDICTION":"'1'"},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580939473681_1547870978","id":"20200205-215113_58224934","dateCreated":"2019-08-07T22:53:27+0000","dateStarted":"2020-02-07T20:29:07+0000","dateFinished":"2020-02-07T20:29:08+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Evaluate the model","text":"%script\n\n-- Drop apply result table\nDECLARE\n v_sql varchar2(200);\nBEGIN\n v_sql := 'DROP TABLE N1_APPLY_RESULT PURGE';\n EXECUTE IMMEDIATE v_sql;\n EXCEPTION WHEN OTHERS THEN NULL;\nEND;\n/\n\n-- Score the data and compute lift\nBEGIN\n DBMS_DATA_MINING.APPLY('N1_CLASS_MODEL','N1_TEST_DATA','CUST_ID','N1_APPLY_RESULT');\n DBMS_DATA_MINING.COMPUTE_LIFT('N1_APPLY_RESULT','N1_TEST_DATA','CUST_ID','AFFINITY_CARD',\n 'N1_LIFT_TABLE','1','PREDICTION','PROBABILITY',100);\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:29:09+0000","config":{"colWidth":7,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1581006999249_-926884103","id":"20200206-163639_1853489623","dateCreated":"2020-02-06T16:36:39+0000","dateStarted":"2020-02-07T20:29:09+0000","dateFinished":"2020-02-07T20:29:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"View model's cumulative gains (lift) chart","text":"%sql\n\n-- Create a Line chart of QUANTILE_NUMBER (Keys), GAIN_CUMULATIVE(SUM) (Values); No Groups\n-- Hint: Try changing this to Bar chart from the below visual settings\n\nSELECT QUANTILE_NUMBER, GAIN_CUMULATIVE FROM N1_LIFT_TABLE;","user":"MARK","dateUpdated":"2020-02-07T20:29:21+0000","config":{"lineNumbers":false,"colWidth":5,"editorMode":"ace/mode/osql","title":true,"enabled":true,"results":[{"graph":{"mode":"multiBarChart","optionOpen":false,"keys":[{"name":"QUANTILE_NUMBER","index":0,"aggr":"sum"}],"values":[{"name":"GAIN_CUMULATIVE","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"GAIN_CUMULATIVE","index":1,"aggr":"sum"},"xAxis":{"name":"QUANTILE_NUMBER","index":0,"aggr":"sum"}},"groups":[],"height":425.2,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{}}}],"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"QUANTILE_NUMBER\tGAIN_CUMULATIVE\n1\t3.32784882511001036144578313253012048193E-02\n2\t6.65569765022002072289156626506024096386E-02\n3\t9.98354624552899084337349397590361445783E-02\n4\t1.33113953004400414457831325301204819277E-01\n5\t1.66392443553510918072289156626506024096E-01\n6\t1.99670924910579819277108433734939759036E-01\n7\t2.32949424651731927710843373493975903615E-01\n8\t2.66227906008800819277108433734939759036E-01\n9\t2.99506387365869734939759036144578313253E-01\n10\t3.32784887107021831325301204819277108434E-01\n11\t3.6606338684817395180722891566265060241E-01\n12\t3.98977734669145325301204819277108433735E-01\n13\t4.25337715608527855421686746987951807229E-01\n14\t4.51697696547910385542168674698795180723E-01\n15\t4.78057677487292915662650602409638554217E-01\n16\t5.04417658426675445783132530120481927711E-01\n17\t5.30777639366057975903614457831325301205E-01\n18\t5.49429946347891566265060240963855421687E-01\n19\t5.6663700701242469879518072289156626506E-01\n20\t5.83844104445124240963855421686746987952E-01\n21\t6.01051201877823807228915662650602409639E-01\n22\t6.17352662603539156626506024096385542169E-01\n23\t6.33654049792921686746987951807228915663E-01\n24\t6.49955510518637060240963855421686746988E-01\n25\t6.66256971244352409638554216867469879518E-01\n26\t6.79625141189759036144578313253012048193E-01\n27\t6.92155291086219879518072289156626506024E-01\n28\t7.04578298545745493975903614457831325301E-01\n29\t7.16722897449171686746987951807228915663E-01\n30\t7.32727418462914168674698795180722891566E-01\n31\t7.49214411356362939759036144578313253012E-01\n32\t7.65701404249811759036144578313253012048E-01\n33\t7.82188397143260530120481927710843373494E-01\n34\t7.9867539003670934939759036144578313253E-01\n35\t8.15162382930158120481927710843373493976E-01\n36\t8.31649375823606939759036144578313253012E-01\n37\t8.48136368717055710843373493975903614458E-01\n38\t8.6462343514683734939759036144578313253E-01\n39\t8.7633115469691265060240963855421686747E-01\n40\t8.80528535038591855421686746987951807229E-01\n41\t8.84725988916603903614457831325301204819E-01\n42\t8.8892344279461595180722891566265060241E-01\n43\t0.893120896672628\n44\t8.97318277014307228915662650602409638554E-01\n45\t9.01515730892319277108433734939759036145E-01\n46\t9.05318441735692771084337349397590361446E-01\n47\t9.08726336008094891566265060240963855422E-01\n48\t9.12134230280496987951807228915662650602E-01\n49\t9.15542198089231927710843373493975903615E-01\n50\t9.18950092361634024096385542168674698795E-01\n51\t9.22357986634036144578313253012048192771E-01\n52\t9.25765954442771084337349397590361445783E-01\n53\t9.29173848715173204819277108433734939759E-01\n54\t9.3258174298757530120481927710843373494E-01\n55\t9.35989637259977397590361445783132530121E-01\n56\t9.39397605068712337349397590361445783133E-01\n57\t9.42805499341114457831325301204819277108E-01\n58\t9.46213393613516578313253012048192771084E-01\n59\t9.49621361422251518072289156626506024096E-01\n60\t9.53029255694653614457831325301204819277E-01\n61\t9.56437149967055710843373493975903614458E-01\n62\t9.5984511777579065060240963855421686747E-01\n63\t9.63253012048192771084337349397590361446E-01\n64\t9.66660906320594891566265060240963855422E-01\n65\t9.70068874129329831325301204819277108434E-01\n66\t9.73476768401731927710843373493975903615E-01\n67\t9.76884662674134024096385542168674698795E-01\n68\t9.80292630482868963855421686746987951807E-01\n69\t9.83222759200865975903614457831325301205E-01\n70\t9.83763913074171686746987951807228915663E-01\n71\t9.84305140483810240963855421686746987952E-01\n72\t9.84846367893448795180722891566265060241E-01\n73\t9.85387521766754506024096385542168674699E-01\n74\t9.85928749176393060240963855421686746988E-01\n75\t9.86469976586031614457831325301204819277E-01\n76\t9.8701113045933734939759036144578313253E-01\n77\t9.87552357868975903614457831325301204819E-01\n78\t9.88093585278614457831325301204819277108E-01\n79\t9.88634739151920192771084337349397590361E-01\n80\t9.89175966561558746987951807228915662651E-01\n81\t9.8971719397119730120481927710843373494E-01\n82\t9.90258347844503012048192771084337349398E-01\n83\t9.90799575254141566265060240963855421687E-01\n84\t9.91340729127447277108433734939759036145E-01\n85\t9.918819565370858313253012048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all customers with likelihood > 50% to be AFFINITY_CARD responders","text":"%sql\n\nSELECT CUST_ID, PREDICTION PRED, ROUND(PROBABILITY,3) PROB, ROUND(COST,2) COST \n FROM N1_APPLY_RESULT WHERE PREDICTION = 1 AND PROBABILITY > 0.5 \n ORDER BY PROBABILITY DESC;","user":"MARK","dateUpdated":"2020-02-07T20:29:10+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED":"string","PROB":"string","COST":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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and view likely and unlikely AFFINITY_CARD responders ","text":"%sql \n\nSELECT CUST_ID, PREDICTION, ROUND(PROBABILITY,2) PROB, ROUND(COST,2) COST\n FROM N1_APPLY_RESULT WHERE PREDICTION = ${PREDICTION='1','1'|'0'} \n AND PROBABILITY > 0.5 ORDER BY PROBABILITY 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show customer probability to be AFFINITY_CARD responders","text":"%sql \n\nSELECT A.*, B.* \n FROM N1_APPLY_RESULT A, N1_TEST_DATA B \n WHERE PREDICTION = ${PREDICTION='1','1'|'0'} AND A.CUST_ID = 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to dynamically score and select customers with >=50% probability of being AFFINITY_CARD responders","text":"%sql\n\nSELECT * \nFROM ( SELECT CUST_ID, PREDICTION_PROBABILITY(N1_CLASS_MODEL, '1' USING A.*) PROBABILITY\n FROM N1_TEST_DATA A)\nWHERE PROBABILITY > 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the model to a single new record","text":"%sql\n\n-- Predict the probability of being a high AFFINITY_CARD responder (1) \n-- by providing specific attribute values for a customer.\n\nSELECT ROUND(PREDICTION_PROBABILITY(N1_CLASS_MODEL, '1' USING \n '3' AS HOUSEHOLD_SIZE, \n 5 AS YRS_RESIDENCE, \n 1 AS Y_BOX_GAMES),3) PROBABILITY_AFFINITY_CARD_RESPONDER\n FROM DUAL;","user":"MARK","dateUpdated":"2020-02-07T20:29:15+0000","config":{"colWidth":7,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":114},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PROBABILITY_AFFINITY_CARD_RESPONDER":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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Bach.\t1\t0\t2\tSales\t0\t1\t4\t0\n103531\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103531\tHS-grad\t1\t1\t2\tSales\t0\t1\t6\t0\n103531\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103531\tHS-grad\t1\t1\t2\tSales\t0\t1\t6\t0\n103569\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103569\tBach.\t1\t1\t2\tExec.\t0\t1\t10\t0\n103569\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103569\tBach.\t1\t1\t2\tExec.\t0\t1\t10\t0\n103796\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t103796\tPhD\t1\t1\t2\tProf.\t0\t1\t8\t0\n103796\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t103796\tPhD\t1\t1\t2\tProf.\t0\t1\t8\t0\n104324\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t104324\tProfsc\t1\t1\t2\tProf.\t0\t1\t4\t0\n104324\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t104324\tProfsc\t1\t1\t2\tProf.\t0\t1\t4\t0\n"}]},"jobName":"paragraph_1580939473681_2105213638","id":"20200205-215113_1055068239","dateCreated":"2018-02-05T22:14:34+0000","dateStarted":"2020-02-07T20:29:16+0000","dateFinished":"2020-02-07T20:29:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:166"},{"text":"%md\n## Create Classification Model using Settings Table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.\n\n","user":"MARK","dateUpdated":"2020-02-07T20:29:17+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Create Classification Model using Settings Table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.
\n"}]},"jobName":"paragraph_1581008075279_-1678875030","id":"20200206-165435_1035745489","dateCreated":"2020-02-06T16:54:35+0000","dateStarted":"2020-02-07T20:29:17+0000","dateFinished":"2020-02-07T20:29:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:167"},{"title":"Build classification model","text":"%script\n\nDECLARE\n v_sql varchar2(200);\nBEGIN\n v_sql := 'DROP TABLE N1_BUILD_SETTINGS PURGE';\n EXECUTE IMMEDIATE v_sql;\n EXECUTE IMMEDIATE 'CREATE TABLE N1_BUILD_SETTINGS (setting_name VARCHAR2(30),setting_value VARCHAR2(4000))';\nEXCEPTION WHEN OTHERS THEN NULL;\nEND;\n/\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('N1_CLASS_MODEL_2');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nBEGIN\n INSERT INTO N1_BUILD_SETTINGS (setting_name, setting_value) VALUES ('ALGO_NAME', 'ALGO_DECISION_TREE');\n INSERT INTO N1_BUILD_SETTINGS (setting_name, setting_value) VALUES ('PREP_AUTO', 'ON');\n\n-- Build a Classification Model\n DBMS_DATA_MINING.CREATE_MODEL('N1_CLASS_MODEL_2', 'CLASSIFICATION', 'N1_TRAIN_DATA', 'CUST_ID',' AFFINITY_CARD', 'N1_BUILD_SETTINGS');\n DBMS_OUTPUT.PUT_LINE ('Created model: N1_CLASS_MODEL_2 ');\nEND;\n\n","user":"MARK","dateUpdated":"2020-02-07T20:29:17+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\nCreated model: N1_CLASS_MODEL_2 \n\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580939473681_1710546963","id":"20200205-215113_1121412639","dateCreated":"2019-08-07T22:34:19+0000","dateStarted":"2020-02-07T20:29:18+0000","dateFinished":"2020-02-07T20:29:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:168"},{"text":"%md\n","user":"MARK","dateUpdated":"2020-02-06T15:41:02+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","fontSize":9},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1580939473681_656609819","id":"20200205-215113_1391331613","dateCreated":"2019-08-12T04:48:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"}],"name":"Classification","id":"115","noteParams":{},"noteForms":{},"angularObjects":{},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
+{"paragraphs":[{"title":"","text":"%md\n## Predicting Target Customers using Classification\n\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program. High Affinity Card responders (target value = 1) are defined as those customers who when given a loyaly or affinity card hyper-respond i.e. they increae their purchasing higher than the Affinity Card program's offered discount percentage. This notebook builds and applies classification decision tree models using the SH schema data. All processing occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:37+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"title":false,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Predicting Target Customers using Classification
\nIn this notebook, we predict customers most likely to be positive responders to an Affinity Card loyalty program. High Affinity Card responders (target value = 1) are defined as those customers who when given a loyaly or affinity card hyper-respond i.e. they increae their purchasing higher than the Affinity Card program's offered discount percentage. This notebook builds and applies classification decision tree models using the SH schema data. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-55366152","id":"20200915-183828_1046023284","dateCreated":"2018-02-04T02:47:49+0000","dateStarted":"2020-09-15T23:27:37+0000","dateFinished":"2020-09-15T23:27:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:147"},{"text":"%md\n\n\n
\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:37+0000","config":{"tableHide":false,"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":147},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_1529260367","id":"20200915-183828_1538923498","dateCreated":"2018-02-05T20:44:13+0000","dateStarted":"2020-09-15T23:27:38+0000","dateFinished":"2020-09-15T23:27:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"For more information...","text":"%md\nOracle ADW Documentation \nOML folder on Github \nOML web page: \nOML Classification: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:38+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Classification: https://www.oracle.com/goto/ml-classification
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-2009163593","id":"20200915-183828_1806785374","dateCreated":"2018-02-04T02:47:57+0000","dateStarted":"2020-09-15T23:27:38+0000","dateFinished":"2020-09-15T23:27:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display the SUPPLEMENTARY_DEMOGRAPHICS data ","text":"%sql\n\nSELECT * FROM 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Bach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\t\n102269\tHS-grad\tCrafts\t4-5\t3\t0\t1\t1\t0\t1\t1\t0\t0\t\n100152\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n100166\t< Bach.\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103318\t< Bach.\tTransp.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n103386\tHS-grad\tExec.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\t\n101206\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\t\n104394\tBach.\tProf.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\t\n102436\t< Bach.\tCleric.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n103972\tHS-grad\tExec.\t4-5\t6\t1\t1\t1\t1\t1\t1\t0\t0\t\n101727\t< Bach.\tCrafts\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\t\n103805\tHS-grad\tCleric.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\t\n100423\tHS-grad\tProf.\t6-8\t5\t0\t1\t0\t1\t1\t1\t0\t0\t\n102760\t11th\tFarming\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n100125\tBach.\tTechSup\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103432\t< Bach.\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101602\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103479\t< Bach.\tFarming\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103651\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100129\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101890\tHS-grad\tSales\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103756\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100076\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100200\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103771\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104406\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103964\t< Bach.\tMachine\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100858\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103993\t12th\tTransp.\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101405\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100180\t< Bach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100187\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101008\tHS-grad\tMachine\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100576\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101624\t< Bach.\tOther\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100460\t< Bach.\tCrafts\t1\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103948\t< Bach.\tCleric.\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101724\tHS-grad\tMachine\t1\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102976\tHS-grad\tHandler\t1\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100930\tBach.\tProf.\t2\t0\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104082\tBach.\tProf.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103028\tBach.\tCleric.\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100743\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103553\t< Bach.\tCleric.\t2\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101440\tBach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100825\tBach.\tProtec.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102344\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102672\t< Bach.\tCleric.\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104416\tHS-grad\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100030\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100011\t9th\tFarming\t2\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103952\t11th\tTransp.\t2\t3\t0\t1\t0\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n101979\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100218\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102255\tHS-grad\tOther\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101675\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n104048\tHS-grad\tSales\t2\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102146\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100832\tHS-grad\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102639\tHS-grad\tHouse-s\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100410\t10th\tTransp.\t2\t4\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102327\tBach.\tSales\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101977\t< Bach.\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102872\tAssoc-V\tTechSup\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103401\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n103431\tHS-grad\tHandler\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102234\tBach.\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101820\tBach.\tFarming\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100625\t< Bach.\tCrafts\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101340\t< Bach.\tCleric.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104128\tAssoc-A\tTechSup\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100645\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103455\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102369\tAssoc-V\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100771\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103604\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102313\tHS-grad\tExec.\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103742\tMasters\tProf.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104310\tAssoc-A\tExec.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103152\tHS-grad\tCrafts\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103141\tBach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104225\t5th-6th\tMachine\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n102558\t7th-8th\tFarming\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the new on-line documentation.\n103557\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n104172\t< Bach.\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101880\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102291\t< Bach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102456\tHS-grad\tExec.\t3\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100585\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n101133\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102191\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100182\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n100398\tBach.\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100850\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104284\tAssoc-A\tFarming\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102781\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102782\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100691\tHS-grad\tHandler\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102686\t< Bach.\tProf.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100908\tHS-grad\tHandler\t3\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101415\tPhD\tCrafts\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103634\tBach.\t?\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104328\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n101168\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102693\tHS-grad\tProtec.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100815\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103441\tBach.\tTechSup\t9+\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n104063\t< Bach.\tSales\t9+\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102691\t9th\tOther\t9+\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n101368\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101283\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103275\tHS-grad\tMachine\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102745\t< Bach.\t?\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n100615\tHS-grad\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101753\tAssoc-A\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102061\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101337\tHS-grad\tCrafts\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n101427\tHS-grad\tMachine\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102162\tAssoc-V\tCleric.\t4-5\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n101915\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n103442\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the new on-line documentation.\n100018\t< Bach.\tHandler\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t1\tI love the new on-line documentation.\n103870\tHS-grad\tOther\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102454\tBach.\tProf.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n103529\tHS-grad\tExec.\t4-5\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI love the new on-line documentation.\n102213\tHS-grad\tMachine\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n102121\t11th\tCrafts\t6-8\t3\t0\t1\t1\t0\t0\t1\t0\t0\tI love the new on-line documentation.\n103359\tHS-grad\tCrafts\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the new on-line documentation.\n100592\tHS-grad\tTransp.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the new on-line documentation.\n102810\t< Bach.\tOther\t2\t3\t1\t0\t0\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n101413\t< Bach.\tExec.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101565\tMasters\tExec.\t2\t5\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103052\tBach.\tProf.\t3\t1\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101113\tBach.\tProf.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101080\t< Bach.\tCleric.\t3\t3\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n100989\t< Bach.\tTransp.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104347\tAssoc-A\tTechSup\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104325\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n100254\tBach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102695\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103337\tBach.\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101009\tBach.\tSales\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102881\tProfsc\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101755\t< Bach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100704\t< Bach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103134\tAssoc-V\tTransp.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102855\tHS-grad\tMachine\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102161\tMasters\tProf.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101049\tProfsc\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101917\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102679\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104334\t< Bach.\tCrafts\t3\t5\t1\t0\t0\t0\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101747\t< Bach.\tProtec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100812\t< Bach.\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100668\tMasters\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103071\tBach.\tExec.\t3\t6\t1\t1\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101361\tBach.\tCrafts\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n104433\tBach.\tCleric.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102499\tHS-grad\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102670\tHS-grad\tTransp.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101708\tPhD\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100081\tBach.\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101145\tProfsc\tProf.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100276\t< Bach.\tSales\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103219\tMasters\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n103579\tBach.\tExec.\t3\t9\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100658\tAssoc-A\tCrafts\t9+\t2\t1\t1\t1\t0\t1\t1\t1\t0\tI love it. Will never shop at other shops again!\n103991\t11th\tOther\t9+\t5\t1\t1\t0\t1\t0\t1\t0\t0\tI love it. Will never shop at other shops again!\n101817\tPhD\tProf.\t9+\t8\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100232\tBach.\tSales\t4-5\t3\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n100486\tMasters\tProf.\t4-5\t4\t1\t0\t0\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n102210\tMasters\tCleric.\t4-5\t5\t1\t1\t1\t1\t1\t1\t0\t0\tI love it. Will never shop at other shops again!\n101339\tMasters\tProf.\t2\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102280\tBach.\tSales\t2\t5\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100716\tBach.\t?\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100037\tProfsc\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101912\t< Bach.\tCrafts\t2\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102023\tMasters\tProf.\t2\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102220\t< Bach.\tCrafts\t2\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n100101\tBach.\tProf.\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101991\t10th\tMachine\t3\t4\t1\t1\t1\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101737\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101780\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103568\tAssoc-V\tCrafts\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103549\tHS-grad\tCrafts\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103570\tMasters\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101289\t10th\tTransp.\t3\t5\t1\t1\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103925\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101793\tBach.\tProf.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102616\tHS-grad\tSales\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102519\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101781\tMasters\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102595\tMasters\tCleric.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102461\tBach.\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101444\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103657\tBach.\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102634\t< Bach.\tMachine\t3\t6\t1\t0\t0\t0\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103045\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103256\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101813\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102075\tHS-grad\tExec.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102979\tBach.\tExec.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101541\tAssoc-V\tCrafts\t3\t8\t1\t0\t0\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n102539\t9th\tTransp.\t3\t9\t1\t0\t0\t1\t0\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n103781\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tA great idea. Thank you! Signed, happy in Texas\n101429\t11th\tFarming\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n101062\t< Bach.\tFarming\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100321\t11th\tSales\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103851\t11th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n104366\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n100113\t12th\tCleric.\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n103217\t< Bach.\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103409\tAssoc-A\tMachine\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101319\tHS-grad\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102382\tHS-grad\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103015\tBach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102520\tBach.\tProf.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101471\tHS-grad\tOther\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102682\tHS-grad\tSales\t1\t2\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102318\tHS-grad\tCrafts\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103490\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100799\tHS-grad\tCrafts\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101436\tHS-grad\tCleric.\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103582\tBach.\tSales\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104360\t< Bach.\tExec.\t2\t0\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104309\tBach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103927\t< Bach.\t?\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104181\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102593\tHS-grad\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100755\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100643\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102582\t5th-6th\tTransp.\t2\t3\t0\t1\t1\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102018\t< Bach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100304\tAssoc-A\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102909\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100993\tAssoc-V\tTechSup\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100992\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103247\tHS-grad\tHandler\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100119\tBach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104027\t< Bach.\tExec.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100946\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103397\tHS-grad\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101930\tHS-grad\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102143\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103147\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102317\tHS-grad\tMachine\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104464\tBach.\tCleric.\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n101120\t< Bach.\tExec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102373\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100269\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101608\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102673\tAssoc-V\tProf.\t2\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102912\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103354\tHS-grad\tFarming\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104039\tHS-grad\tMachine\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102957\tMasters\t?\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100708\tHS-grad\tHouse-s\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103735\t< Bach.\tCleric.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104272\tAssoc-V\tOther\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100537\tHS-grad\tCleric.\t2\t8\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102647\tHS-grad\tExec.\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101729\tBach.\tExec.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103611\tMasters\tProf.\t3\t1\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103451\t< Bach.\t?\t3\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102336\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104089\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103726\t< Bach.\tProtec.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103013\tAssoc-V\tHandler\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100857\tHS-grad\tOther\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102509\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100204\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103765\tHS-grad\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102738\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n100441\t< Bach.\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103819\t< Bach.\tProtec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101211\tAssoc-A\tTransp.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100556\tAssoc-V\tProtec.\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100729\tHS-grad\tOther\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103947\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103827\tHS-grad\tHandler\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102924\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103170\tHS-grad\tTransp.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102298\t12th\tCleric.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104146\tBach.\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100219\t1st-4th\tOther\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102811\t1st-4th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101964\t7th-8th\tTransp.\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n104399\t< Bach.\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104294\t< Bach.\tTransp.\t3\t5\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100151\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102233\tHS-grad\tHandler\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101524\tHS-grad\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100767\t9th\tOther\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n101554\t< Bach.\tSales\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103187\tHS-grad\t?\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100112\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102971\tHS-grad\tCrafts\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101974\tHS-grad\tFarming\t3\t7\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102183\t< Bach.\tProf.\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104392\tHS-grad\tSales\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100291\t< Bach.\tOther\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102677\tBach.\tExec.\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100703\t< Bach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102432\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103208\t< Bach.\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103469\tAssoc-V\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n104148\tAssoc-V\tTechSup\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103625\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102074\tHS-grad\tCleric.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100808\tHS-grad\tMachine\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100851\tHS-grad\tTechSup\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n100631\t< Bach.\t?\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n101740\t< Bach.\tExec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104422\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103382\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n104391\t11th\tHandler\t9+\t5\t0\t1\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103253\tHS-grad\tOther\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100618\t7th-8th\tMachine\t9+\t8\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102051\tHS-grad\tCleric.\t9+\t9\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102372\t< Bach.\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102229\tHS-grad\t?\t4-5\t2\t0\t1\t1\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n102287\tHS-grad\t?\t4-5\t2\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100647\t9th\tOther\t4-5\t3\t0\t1\t1\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n103209\t< Bach.\tSales\t4-5\t3\t0\t0\t0\t0\t1\t1\t1\t0\tThank you, But please remove my name from your list.\n103995\t< Bach.\tCrafts\t4-5\t5\t0\t1\t1\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n102805\t10th\tExec.\t4-5\t6\t0\t0\t0\t1\t0\t1\t0\t0\tThank you, But please remove my name from your list.\n102652\t12th\tSales\t6-8\t3\t0\t0\t0\t0\t0\t1\t1\t0\tThank you, But please remove my name from your list.\n102218\tAssoc-V\tCleric.\t6-8\t3\t0\t0\t0\t0\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n100913\tHS-grad\tSales\t6-8\t7\t0\t1\t1\t1\t1\t1\t0\t0\tThank you, But please remove my name from your list.\n103994\t< Bach.\tExec.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101752\t< Bach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100349\t< Bach.\tTechSup\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103212\tHS-grad\tHandler\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101370\t11th\t?\t1\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104415\t7th-8th\tMachine\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103897\t< Bach.\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101568\t< Bach.\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102714\t< Bach.\tMachine\t1\t2\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100492\tHS-grad\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103051\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103546\tBach.\tProf.\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103227\t< Bach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102820\tHS-grad\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101545\t< Bach.\tExec.\t2\t1\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101261\t10th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100505\t< Bach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103167\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n104280\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101539\tAssoc-A\t?\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101076\tAssoc-V\tProf.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100257\tHS-grad\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101508\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101245\tBach.\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102042\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101218\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103438\tBach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103109\t< Bach.\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n100557\tAssoc-A\tCleric.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102549\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103106\tHS-grad\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101236\tHS-grad\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103117\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102237\tProfsc\tProf.\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101591\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104291\t< Bach.\tProf.\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100881\t< Bach.\tProtec.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101259\tHS-grad\tOther\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100591\tHS-grad\tSales\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100904\tHS-grad\tSales\t2\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103690\tMasters\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100008\t< Bach.\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103044\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101943\t< Bach.\tProtec.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104453\tAssoc-A\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103122\tHS-grad\tOther\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103669\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100575\tHS-grad\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103202\tHS-grad\tCrafts\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102825\t10th\tMachine\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100563\tBach.\tProf.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100968\tBach.\tProf.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102144\t< Bach.\tCrafts\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101205\t< Bach.\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103182\tHS-grad\tCleric.\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100905\tBach.\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103201\tBach.\tTransp.\t2\t10\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101961\tBach.\tOther\t3\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101656\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102865\t< Bach.\tSales\t3\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102921\tHS-grad\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103482\tBach.\tProf.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101237\tBach.\tSales\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102356\tBach.\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102288\t7th-8th\tTransp.\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101537\t< Bach.\tExec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103715\t< Bach.\tCrafts\t3\t3\t0\t1\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103257\tAssoc-V\tProf.\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101182\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102860\tHS-grad\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102592\tHS-grad\tSales\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102611\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100124\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100407\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103709\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103716\tHS-grad\tMachine\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n103497\tBach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102913\t< Bach.\tProtec.\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104255\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100305\tHS-grad\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102735\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101404\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100560\t< Bach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103647\tAssoc-A\tMachine\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103400\tAssoc-V\tFarming\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101604\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101986\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103344\tHS-grad\tMachine\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101154\t1st-4th\tFarming\t3\t6\t0\t1\t1\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101521\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100050\t12th\tMachine\t9+\t2\t0\t0\t0\t0\t0\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n101847\t11th\tCleric.\t9+\t3\t0\t1\t0\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101709\tBach.\tSales\t9+\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI shop your store a lot. I love your weekly specials.\n102537\t< Bach.\tProtec.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102846\t< Bach.\tTransp.\t9+\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102835\tAssoc-V\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103108\tHS-grad\tCrafts\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102357\t10th\tCleric.\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103115\tBach.\tProf.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101497\tAssoc-A\tSales\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103131\tHS-grad\tExec.\t9+\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100789\tHS-grad\tCrafts\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102532\tHS-grad\tMachine\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n102848\t< Bach.\t?\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101298\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n103896\t< Bach.\tCleric.\t9+\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n100247\tHS-grad\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n104485\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI shop your store a lot. I love your weekly specials.\n101610\t11th\tHandler\t1\t0\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102986\t< Bach.\tProf.\t1\t0\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101344\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104086\t10th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102410\t< Bach.\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103612\tAssoc-A\t?\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102599\t12th\tHandler\t1\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100678\tBach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100454\t< Bach.\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102115\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101423\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103831\t< Bach.\tCleric.\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102207\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100043\tHS-grad\tOther\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104409\tHS-grad\tCrafts\t1\t2\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102199\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103030\tBach.\tCleric.\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101111\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101714\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103752\t< Bach.\tCleric.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102427\t< Bach.\tProtec.\t1\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101921\tBach.\tOther\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104405\t< Bach.\tTechSup\t2\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100337\t7th-8th\t?\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104411\t7th-8th\tOther\t2\t2\t0\t1\t1\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102590\t< Bach.\t?\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100935\t< Bach.\tOther\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101171\t< Bach.\tTechSup\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103414\tAssoc-A\tCleric.\t2\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100902\tHS-grad\tSales\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101223\tHS-grad\tSales\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103248\tBach.\tExec.\t2\t3\t0\t1\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104024\tBach.\tProf.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102597\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103567\tBach.\tCrafts\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104143\t< Bach.\tMachine\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104497\tHS-grad\tExec.\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101658\tHS-grad\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102584\tHS-grad\tSales\t2\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100138\tBach.\tProf.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100311\tBach.\tSales\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102259\t< Bach.\tOther\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101929\tHS-grad\tMachine\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101843\tBach.\tProf.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102458\tBach.\tFarming\t2\t5\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101150\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102990\tMasters\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100546\t< Bach.\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102896\tHS-grad\tHandler\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102390\t< Bach.\tProtec.\t2\t7\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100680\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103475\tHS-grad\t?\t2\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102555\tBach.\tExec.\t2\t14\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101432\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104357\t9th\tCrafts\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100747\t< Bach.\tOther\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100707\t< Bach.\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n104057\tAssoc-V\tTransp.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100099\tHS-grad\tTechSup\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100910\tAssoc-V\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101282\tHS-grad\tOther\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102004\tHS-grad\tCrafts\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100705\tHS-grad\tCrafts\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104198\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101093\t9th\tTransp.\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102585\tPhD\tProf.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103821\tBach.\tSales\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104221\tAssoc-V\tCleric.\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103139\tHS-grad\tCrafts\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100108\tMasters\tOther\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101148\t< Bach.\tExec.\t3\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103457\tAssoc-A\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102918\tHS-grad\tProf.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100681\tBach.\t?\t3\t7\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101685\tHS-grad\tCrafts\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103916\t1st-4th\tTransp.\t3\t8\t0\t1\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103836\tMasters\tProf.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102763\t< Bach.\tFarming\t3\t11\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100572\tBach.\tMachine\t9+\t1\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100610\tHS-grad\tTransp.\t9+\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102419\t7th-8th\tFarming\t9+\t2\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103869\t< Bach.\tCleric.\t9+\t2\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101278\t11th\tMachine\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100336\tBach.\tCrafts\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103963\t< Bach.\tCleric.\t9+\t3\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102209\tHS-grad\tOther\t9+\t3\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103630\tHS-grad\tOther\t9+\t3\t0\t1\t0\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103783\tHS-grad\tSales\t9+\t3\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103872\t10th\tCrafts\t9+\t4\t0\t0\t0\t0\t0\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n102857\tBach.\tProf.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103797\t< Bach.\tOther\t9+\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100711\t< Bach.\tCleric.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101857\t< Bach.\tProtec.\t9+\t4\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104139\tMasters\tProf.\t9+\t4\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102701\t1st-4th\tProf.\t9+\t5\t0\t0\t0\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n104208\t< Bach.\tExec.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102035\t< Bach.\tSales\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100587\t< Bach.\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n102299\tHS-grad\tExec.\t9+\t5\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100745\tHS-grad\tCleric.\t9+\t5\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100570\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103533\tHS-grad\tCleric.\t9+\t10\t0\t0\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103577\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n103357\t< Bach.\tCleric.\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n100885\tHS-grad\t?\t6-8\t1\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n101750\tAssoc-V\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n103687\tHS-grad\tCleric.\t6-8\t2\t0\t1\t1\t0\t1\t1\t1\t0\tGreat program. Love the discount. Signed happy customer.\n100761\tAssoc-A\tOther\t6-8\t3\t0\t1\t1\t0\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101919\t10th\tCrafts\t6-8\t4\t0\t1\t1\t1\t0\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101097\tBach.\tTechSup\t6-8\t6\t0\t1\t0\t1\t1\t1\t0\t0\tGreat program. Love the discount. Signed happy customer.\n101597\t11th\tHandler\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103780\t12th\t?\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103233\tBach.\tProf.\t1\t1\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104403\t1st-4th\tOther\t1\t1\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100181\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104191\t< Bach.\tSales\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101631\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103976\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101095\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103841\t< Bach.\tMachine\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103956\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100604\tHS-grad\tProf.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104004\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103293\tHS-grad\tFarming\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104109\tHS-grad\tHandler\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102315\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103544\tHS-grad\tCrafts\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102870\tHS-grad\tHandler\t1\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101032\tHS-grad\tCrafts\t1\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101779\tHS-grad\tSales\t1\t5\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103842\tBach.\tOther\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100861\tBach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102308\t< Bach.\tProf.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102526\t< Bach.\tMachine\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102231\t< Bach.\tTransp.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104012\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100148\t7th-8th\tOther\t2\t3\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103465\t< Bach.\tTechSup\t2\t3\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101985\tAssoc-A\tFarming\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101920\tHS-grad\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100275\tBach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100515\tProfsc\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103959\t1st-4th\tExec.\t2\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104491\t< Bach.\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103875\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104247\t10th\tMachine\t2\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100087\tBach.\tProf.\t2\t5\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104222\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102516\t< Bach.\tProf.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103119\t< Bach.\tSales\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103345\tHS-grad\tTransp.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103971\t10th\tProtec.\t2\t6\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102274\t11th\t?\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101895\t11th\tOther\t2\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101994\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103236\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100841\tHS-grad\tHandler\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100431\t< Bach.\tCrafts\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104108\tAssoc-V\t?\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100217\tHS-grad\tFarming\t2\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100387\t7th-8th\tCrafts\t3\t1\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103606\t11th\tTransp.\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104171\t< Bach.\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101637\tAssoc-V\tTechSup\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101107\tHS-grad\tProtec.\t3\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101348\tBach.\tExec.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102983\tBach.\tMachine\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102625\t< Bach.\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102768\tHS-grad\tMachine\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100906\tMasters\tProf.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102482\t11th\tCrafts\t3\t5\t0\t0\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102059\t11th\tTransp.\t3\t5\t0\t1\t0\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101166\tBach.\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103955\tHS-grad\tExec.\t3\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102944\tHS-grad\tCrafts\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101011\t10th\tTransp.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100283\t11th\tExec.\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101638\tBach.\tSales\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n104266\tBach.\tSales\t3\t6\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100058\t< Bach.\tFarming\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103468\tAssoc-A\tProf.\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103392\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102756\tHS-grad\tFarming\t3\t8\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101243\t11th\t?\t9+\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101244\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103909\tHS-grad\tFarming\t9+\t2\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101710\t12th\tHandler\t9+\t3\t0\t0\t0\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100619\tHS-grad\tSales\t9+\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102864\t11th\tOther\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101623\t12th\tHouse-s\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103368\t7th-8th\tCrafts\t9+\t4\t0\t1\t1\t1\t0\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103325\tHS-grad\tTransp.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101265\tMasters\tProtec.\t9+\t5\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103576\tHS-grad\tHandler\t9+\t6\t0\t0\t0\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100571\tHS-grad\tCleric.\t4-5\t2\t0\t1\t1\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103175\tBach.\tCleric.\t4-5\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n103192\tHS-grad\tTechSup\t4-5\t3\t0\t0\t0\t0\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100954\tProfsc\tSales\t4-5\t4\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n102411\tHS-grad\tSales\t4-5\t7\t0\t1\t1\t1\t1\t1\t0\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101099\t9th\tSales\t6-8\t1\t0\t1\t1\t0\t0\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n101957\tHS-grad\tTransp.\t6-8\t3\t0\t1\t1\t0\t1\t1\t1\t0\tI love the discounts. But I mostly end upbuying things I do not need.\n100722\tAssoc-V\tExec.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103273\tHS-grad\tCleric.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101522\tMasters\tProf.\t2\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100323\t< Bach.\tProf.\t2\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103290\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103085\tAssoc-V\tExec.\t2\t6\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104216\tBach.\tExec.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104474\tBach.\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102882\tHS-grad\tExec.\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102242\tMasters\tExec.\t3\t3\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101400\t9th\tMachine\t3\t4\t1\t0\t0\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102394\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102868\tBach.\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100838\tBach.\tExec.\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100709\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100853\tBach.\tSales\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103308\tBach.\tSales\t3\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101239\t< Bach.\tCrafts\t3\t4\t1\t1\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101012\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103317\tHS-grad\tExec.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103935\tHS-grad\tMachine\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100406\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103799\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102850\tBach.\tSales\t3\t5\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103548\t< Bach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103816\tHS-grad\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100063\tHS-grad\tTechSup\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103914\t10th\tCrafts\t3\t6\t1\t1\t1\t1\t0\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102501\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103346\tBach.\tProf.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101735\tAssoc-A\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100950\tHS-grad\tSales\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100233\tHS-grad\tCrafts\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102731\tMasters\tExec.\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101699\tBach.\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101086\tProfsc\tProf.\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n101679\t< Bach.\tCrafts\t3\t7\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100266\tAssoc-A\tSales\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102641\tHS-grad\tExec.\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104345\tHS-grad\tTransp.\t3\t7\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102230\tPhD\tProf.\t3\t8\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100372\t< Bach.\tExec.\t3\t10\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n104298\tMasters\tSales\t3\t10\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103747\tAssoc-A\tProf.\t9+\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100727\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n103537\t< Bach.\t?\t4-5\t1\t1\t1\t1\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102112\tAssoc-A\tCleric.\t4-5\t3\t1\t0\t0\t0\t1\t1\t1\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102708\tBach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102418\tHS-grad\tMachine\t4-5\t4\t1\t0\t0\t0\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100816\tMasters\tExec.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102468\t< Bach.\tProf.\t4-5\t5\t1\t1\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n102165\t< Bach.\tCleric.\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100330\tMasters\t?\t4-5\t5\t1\t0\t0\t1\t1\t1\t0\t0\tIf I forget my affinity card, can I still shop here and get the discount?\n100540\tMasters\tProf.\t2\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100009\tBach.\tProf.\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103563\t< Bach.\tCrafts\t3\t3\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102919\tHS-grad\tCrafts\t3\t3\t1\t0\t0\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104288\tHS-grad\tTechSup\t3\t3\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103353\tPhD\tProf.\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103062\tBach.\tProf.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103723\t< Bach.\tExec.\t3\t4\t1\t1\t1\t0\t1\t1\t1\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102324\t< Bach.\tTechSup\t3\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100173\tAssoc-A\tProf.\t3\t4\t1\t1\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102994\tHS-grad\tTransp.\t3\t4\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102796\tPhD\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102275\tBach.\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103706\tBach.\tExec.\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102643\tBach.\tProf.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100997\t< Bach.\tSales\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103601\t< Bach.\tCrafts\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101373\t< Bach.\tFarming\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101826\tAssoc-A\tExec.\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100629\tAssoc-V\tCrafts\t3\t5\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101214\tHS-grad\tOther\t3\t5\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103898\tBach.\tExec.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100528\t< Bach.\tTechSup\t3\t6\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104090\tMasters\tProf.\t3\t6\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n103277\tHS-grad\tFarming\t3\t7\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102720\tHS-grad\tProtec.\t3\t12\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101219\t< Bach.\tExec.\t4-5\t1\t1\t0\t0\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100769\tBach.\tExec.\t4-5\t3\t1\t0\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100035\tBach.\tProf.\t4-5\t4\t1\t1\t0\t0\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101116\t< Bach.\tCleric.\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n104081\tHS-grad\tCrafts\t4-5\t4\t1\t1\t1\t1\t1\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101694\t12th\tCleric.\t4-5\t5\t1\t1\t1\t1\t0\t1\t0\t0\tThank you! But I am very unhappy with all the junk mail you keep sending.\n100335\t10th\tCleric.\t1\t1\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101905\t< Bach.\tOther\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101588\t< Bach.\tProf.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101896\t< Bach.\tCleric.\t1\t1\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102807\tHS-grad\t?\t1\t1\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101424\tBach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101628\t< Bach.\t?\t1\t2\t0\t1\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100284\t< Bach.\t?\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101060\t< Bach.\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103507\t< Bach.\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104205\t< Bach.\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103295\tHS-grad\tOther\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100728\tHS-grad\tSales\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102054\tHS-grad\tCleric.\t1\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101281\tHS-grad\tHandler\t1\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101394\t9th\tOther\t1\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101220\t11th\tMachine\t1\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103809\tBach.\tSales\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102337\tBach.\tTechSup\t1\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104330\tBach.\tTechSup\t1\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102328\t< Bach.\tExec.\t2\t2\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102043\t< Bach.\tOther\t2\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101212\t< Bach.\tCleric.\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104184\tHS-grad\t?\t2\t2\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102822\tHS-grad\tCrafts\t2\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101936\tBach.\tExec.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100248\tBach.\tSales\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102292\t< Bach.\tCrafts\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103938\t< Bach.\tCleric.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102800\t< Bach.\tMachine\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102988\tHS-grad\tOther\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103918\tHS-grad\tProf.\t2\t3\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100483\tHS-grad\tHandler\t2\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101953\tBach.\tProf.\t2\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100411\tAssoc-V\tCrafts\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102799\tHS-grad\tCleric.\t2\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103025\tHS-grad\tFarming\t2\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103659\t< Bach.\tExec.\t2\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102776\t< Bach.\tCleric.\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100367\tHS-grad\tOther\t2\t5\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103703\tHS-grad\tExec.\t2\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101248\tHS-grad\tSales\t2\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100092\tBach.\tHandler\t2\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102659\t< Bach.\tSales\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101180\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104055\tHS-grad\tExec.\t2\t7\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102113\tHS-grad\t?\t3\t0\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101634\tBach.\tSales\t3\t2\t0\t1\t1\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100836\t< Bach.\tFarming\t3\t2\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104252\t11th\tSales\t3\t3\t0\t0\t0\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103804\t11th\tCrafts\t3\t3\t0\t1\t1\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101317\tProfsc\tExec.\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102750\t7th-8th\tOther\t3\t3\t0\t0\t0\t0\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102335\t7th-8th\tHandler\t3\t3\t0\t1\t1\t0\t0\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101768\t< Bach.\tCrafts\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102920\tAssoc-V\tCleric.\t3\t3\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102631\tHS-grad\tExec.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103855\tHS-grad\tCrafts\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103998\tHS-grad\tCleric.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103404\tHS-grad\tHandler\t3\t3\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101955\tHS-grad\tTransp.\t3\t3\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100445\t9th\tOther\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101159\t11th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101646\tBach.\tTechSup\t3\t4\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100746\t7th-8th\tCrafts\t3\t4\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101516\t< Bach.\tExec.\t3\t4\t0\t0\t0\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102531\t< Bach.\tSales\t3\t4\t0\t1\t1\t0\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104393\t< Bach.\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100928\tHS-grad\tCleric.\t3\t4\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101318\tHS-grad\tTransp.\t3\t4\t0\t0\t0\t0\t1\t1\t1\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100344\tBach.\tProf.\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103303\tBach.\tTechSup\t3\t5\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103410\t5th-6th\tMachine\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100999\t7th-8th\tCrafts\t3\t5\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n103191\tHS-grad\t?\t3\t5\t0\t1\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102071\tBach.\tExec.\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n101403\t7th-8th\tMachine\t3\t6\t0\t1\t1\t1\t0\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102492\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102675\t< Bach.\tCrafts\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104141\t< Bach.\tTechSup\t3\t6\t0\t0\t0\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n100450\tHS-grad\tOther\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102170\tHS-grad\tMachine\t3\t6\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102152\tHS-grad\t?\t3\t7\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n104076\t< Bach.\tExec.\t3\t8\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n102964\t< Bach.\tExec.\t3\t9\t0\t1\t1\t1\t1\t1\t0\t0\tDon't send me any more promotions. I get too much lousy junk mail already\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-1963050661","id":"20200915-183828_845434434","dateCreated":"2018-02-04T02:48:08+0000","dateStarted":"2020-09-15T23:27:39+0000","dateFinished":"2020-09-15T23:27:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Count number of records in SUPPLEMENTARY_DEMOGRAPHICS table","text":"%sql\n\nSELECT COUNT(*) FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:39+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84.0278,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNT(*)\n4500\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_890094246","id":"20200915-183828_1143525078","dateCreated":"2019-07-22T19:47:24+0000","dateStarted":"2020-09-15T23:27:40+0000","dateFinished":"2020-09-15T23:27:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Show distribution of AFFINITY_CARD responders","text":"%sql\n\n-- In this data set, hyper-responders to the Affinity Card loyalty program are represented as 1's. In this example, we target customers of this type.\n-- Click on the bar chart icon and expand settings. Drag AFFINITY_CARD to Keys, CUST_ID Values, with nothing in Groups. Click CUST_ID in Values and select count. \n\nSELECT CUST_ID, AFFINITY_CARD FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:56+0000","config":{"colWidth":8,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"AFFINITY_CARD","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"CUST_ID","index":0,"aggr":"count"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tAFFINITY_CARD\n102547\t0\n101050\t0\n100040\t0\n102117\t0\n101074\t0\n104179\t0\n100417\t0\n101146\t0\n103420\t0\n101987\t0\n101279\t0\n102106\t0\n102591\t0\n101869\t0\n103169\t0\n103552\t0\n101616\t0\n104096\t0\n102171\t0\n100846\t0\n104396\t0\n103297\t0\n102408\t0\n100041\t0\n100925\t0\n103378\t0\n101307\t0\n101005\t0\n102666\t0\n101364\t0\n104452\t0\n104158\t0\n103434\t0\n101933\t0\n102273\t0\n102201\t1\n101207\t0\n103954\t0\n101480\t0\n102837\t0\n100873\t0\n103459\t0\n102303\t0\n102439\t0\n102433\t0\n101202\t0\n101217\t0\n102270\t0\n103116\t0\n101187\t1\n102008\t0\n101247\t0\n103484\t0\n103728\t0\n104200\t0\n101881\t0\n100298\t0\n103968\t0\n104134\t0\n103712\t0\n101738\t0\n100506\t1\n100843\t1\n101586\t0\n100692\t0\n101295\t0\n102263\t0\n101951\t0\n100924\t0\n103835\t0\n103793\t0\n102341\t0\n102784\t0\n101845\t0\n103113\t1\n102389\t0\n102791\t0\n102371\t0\n103551\t0\n101566\t0\n102103\t0\n102753\t0\n100433\t0\n103619\t1\n101777\t1\n100750\t1\n103569\t1\n100656\t0\n103768\t0\n102469\t1\n103778\t1\n101250\t0\n101313\t0\n101181\t0\n101293\t0\n100477\t0\n102936\t0\n100834\t0\n101682\t0\n102603\t0\n101783\t0\n100718\t0\n102368\t1\n100421\t1\n103446\t0\n104117\t1\n101045\t0\n100758\t1\n100522\t1\n102814\t1\n100796\t1\n103509\t0\n101877\t0\n100683\t0\n101020\t0\n101026\t1\n101031\t1\n101846\t1\n101990\t0\n104351\t1\n103792\t0\n101971\t0\n102852\t1\n103137\t1\n102898\t0\n103641\t1\n103981\t0\n101767\t0\n102227\t0\n101419\t0\n102384\t0\n103343\t1\n101900\t0\n101822\t1\n100229\t1\n103311\t0\n100149\t1\n100332\t0\n100425\t1\n102661\t1\n101428\t0\n104462\t0\n104276\t1\n100163\t0\n100408\t0\n104442\t1\n102917\t0\n103365\t1\n100780\t1\n102189\t1\n100442\t1\n104206\t1\n104112\t1\n102749\t0\n102295\t0\n100023\t0\n100470\t0\n101454\t1\n103566\t0\n103674\t1\n101188\t0\n101155\t0\n102770\t0\n103933\t0\n102024\t0\n104037\t0\n103377\t0\n103210\t0\n103168\t0\n104336\t0\n102642\t0\n103075\t0\n101587\t0\n102036\t0\n100807\t0\n102452\t0\n103423\t0\n100289\t0\n102561\t0\n100766\t0\n102752\t0\n103105\t0\n101209\t0\n102055\t0\n103920\t1\n100529\t0\n101791\t1\n101980\t0\n101378\t0\n101458\t0\n102859\t1\n100438\t1\n101577\t1\n102269\t0\n100152\t0\n100166\t1\n103318\t1\n103386\t0\n101206\t1\n104394\t1\n102436\t1\n103972\t1\n101727\t0\n103805\t0\n100423\t0\n102760\t0\n100125\t0\n103432\t0\n101602\t0\n103479\t0\n103651\t0\n100129\t0\n101890\t0\n103756\t0\n100076\t0\n100200\t0\n103771\t0\n104406\t0\n103964\t0\n100858\t0\n103993\t0\n101405\t0\n100180\t0\n100187\t0\n101008\t0\n100576\t0\n101624\t0\n100460\t0\n103948\t0\n101724\t0\n102976\t0\n100930\t0\n104082\t0\n103028\t0\n100743\t0\n103553\t0\n101440\t0\n100825\t0\n102344\t0\n102672\t0\n104416\t0\n100030\t0\n100011\t0\n103952\t0\n101979\t0\n100218\t0\n102255\t0\n101675\t0\n104048\t0\n102146\t0\n100832\t0\n102639\t0\n100410\t0\n102327\t0\n101977\t0\n102872\t0\n103401\t0\n103431\t0\n102234\t0\n101820\t0\n100625\t0\n101340\t0\n104128\t0\n100645\t0\n103455\t0\n102369\t0\n100771\t0\n103604\t0\n102313\t0\n103742\t0\n104310\t0\n103152\t0\n103141\t0\n104225\t0\n102558\t0\n103557\t0\n104172\t0\n101880\t0\n102291\t0\n102456\t0\n100585\t0\n101133\t0\n102191\t0\n100182\t0\n100398\t0\n100850\t0\n104284\t0\n102781\t0\n102782\t0\n100691\t0\n102686\t0\n100908\t0\n101415\t0\n103634\t0\n104328\t0\n101168\t0\n102693\t0\n100815\t0\n103441\t0\n104063\t0\n102691\t0\n101368\t0\n101283\t0\n103275\t0\n102745\t0\n100615\t0\n101753\t0\n102061\t0\n101337\t0\n101427\t0\n102162\t0\n101915\t0\n103442\t0\n100018\t0\n103870\t0\n102454\t0\n103529\t0\n102213\t0\n102121\t0\n103359\t0\n100592\t0\n102810\t1\n101413\t1\n101565\t1\n103052\t1\n101113\t1\n101080\t1\n100989\t1\n104347\t1\n104325\t1\n100254\t1\n102695\t1\n103337\t1\n101009\t1\n102881\t1\n101755\t1\n100704\t1\n103134\t1\n102855\t1\n102161\t1\n101049\t1\n101917\t1\n102679\t1\n104334\t1\n101747\t1\n100812\t1\n100668\t1\n103071\t1\n101361\t1\n104433\t1\n102499\t1\n102670\t1\n101708\t1\n100081\t1\n101145\t1\n100276\t1\n103219\t1\n103579\t1\n100658\t1\n103991\t1\n101817\t1\n100232\t1\n100486\t1\n102210\t1\n101339\t1\n102280\t1\n100716\t1\n100037\t1\n101912\t1\n102023\t1\n102220\t1\n100101\t1\n101991\t1\n101737\t1\n101780\t1\n103568\t1\n103549\t1\n103570\t1\n101289\t1\n103925\t1\n101793\t1\n102616\t1\n102519\t1\n101781\t1\n102595\t1\n102461\t1\n101444\t1\n103657\t1\n102634\t1\n103045\t1\n103256\t1\n101813\t1\n102075\t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HOUSEHOLD_SIZE grouped by AFFINITY_CARD responders","text":"%sql\n\n-- Create a Bar chart of HOUSEHOLD_SIZE (Keys), AFFINITY_CARD (Groups), NUM_CUSTOMERS (SUM) (Values)\n\nSELECT COUNT(CUST_ID) AS NUM_CUSTOMERS, HOUSEHOLD_SIZE, AFFINITY_CARD \nFROM SH.SUPPLEMENTARY_DEMOGRAPHICS \nGROUP BY HOUSEHOLD_SIZE, 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view DEMOGRAPHICS4_V with desired columns for analysis","text":"%script\n\nCREATE OR REPLACE VIEW DEMOGRAPHICS4_V \n AS SELECT AFFINITY_CARD, BOOKKEEPING_APPLICATION,\n BULK_PACK_DISKETTES, CUST_ID, EDUCATION,\n FLAT_PANEL_MONITOR, HOME_THEATER_PACKAGE, \n HOUSEHOLD_SIZE, OCCUPATION, OS_DOC_SET_KANJI,\n PRINTER_SUPPLIES, YRS_RESIDENCE, Y_BOX_GAMES\n FROM SH.SUPPLEMENTARY_DEMOGRAPHICS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:41+0000","config":{"colWidth":4,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView DEMOGRAPHICS4_V created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_440094576","id":"20200915-183828_1053457466","dateCreated":"2018-02-04T02:56:54+0000","dateStarted":"2020-09-15T23:27:42+0000","dateFinished":"2020-09-15T23:27:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display data from DEMOGRAPHICS4_V view","text":"%sql \n\nSELECT * FROM DEMOGRAPHICS4_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:42+0000","config":{"colWidth":8,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}],"values":[{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"BOOKKEEPING_APPLICATION","index":1,"aggr":"sum"},"xAxis":{"name":"AFFINITY_CARD","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"AFFINITY_CARD":"string","BOOKKEEPING_APPLICATION":"string","BULK_PACK_DISKETTES":"string","CUST_ID":"string","EDUCATION":"string","FLAT_PANEL_MONITOR":"string","HOME_THEATER_PACKAGE":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","OS_DOC_SET_KANJI":"string","PRINTER_SUPPLIES":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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Bach.\t1\t1\t3\tExec.\t0\t1\t9\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-1418482247","id":"20200915-183828_1008098123","dateCreated":"2018-02-05T20:34:03+0000","dateStarted":"2020-09-15T23:27:42+0000","dateFinished":"2020-09-15T23:27:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Create train and test data sets (60/40) for model build and test","text":"%script\n\nCREATE OR REPLACE VIEW TRAIN_DATA_CLAS AS SELECT * FROM DEMOGRAPHICS4_V SAMPLE (60) SEED (1);\nCREATE OR REPLACE VIEW TEST_DATA_CLAS AS SELECT * FROM DEMOGRAPHICS4_V MINUS SELECT * FROM TRAIN_DATA_CLAS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:42+0000","config":{"tableHide":false,"colWidth":7,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"lineNumbers":false,"fontSize":9,"editorHide":false},"settings":{"params":{"PREDICTION":"'1'"},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView TRAIN_DATA_CLAS created.\n\n\n---------------------------\n\nView TEST_DATA_CLAS created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_53806325","id":"20200915-183828_1148167507","dateCreated":"2018-02-04T03:05:02+0000","dateStarted":"2020-09-15T23:27:43+0000","dateFinished":"2020-09-15T23:27:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Drop, then build a Decision Tree model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('CLASS_MODEL');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\n \nBEGIN\n v_setlst('PREP_AUTO') := 'ON';\n v_setlst('ALGO_NAME') := 'ALGO_DECISION_TREE';\n \n DBMS_DATA_MINING.CREATE_MODEL2(\n 'CLASS_MODEL',\n 'CLASSIFICATION',\n 'SELECT * FROM TRAIN_DATA_CLAS',\n v_setlst,\n 'CUST_ID',\n 'AFFINITY_CARD');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:43+0000","config":{"tableHide":false,"colWidth":5,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"lineNumbers":false,"editorHide":false,"fontSize":9},"settings":{"params":{"PREDICTION":"'1'"},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-2025739792","id":"20200915-183828_199473000","dateCreated":"2019-08-07T22:53:27+0000","dateStarted":"2020-09-15T23:27:43+0000","dateFinished":"2020-09-15T23:27:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"text":"%sql \n\nSELECT VIEW_NAME, VIEW_TYPE \n FROM USER_MINING_MODEL_VIEWS\n WHERE MODEL_NAME='CLASS_MODEL'\n ORDER BY 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the model","text":"%script\n\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE APPLY_RESULT PURGE';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE LIFT_TABLE PURGE';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN\n DBMS_DATA_MINING.APPLY('CLASS_MODEL','TEST_DATA_CLAS','CUST_ID','APPLY_RESULT');\n DBMS_DATA_MINING.COMPUTE_LIFT('APPLY_RESULT','TEST_DATA_CLAS','CUST_ID','AFFINITY_CARD',\n 'LIFT_TABLE','1','PREDICTION','PROBABILITY',100);\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:46+0000","config":{"colWidth":7,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully 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and view likely and unlikely AFFINITY_CARD responders ","text":"%sql \n\nSELECT CUST_ID, PREDICTION, ROUND(PROBABILITY,2) PROB, ROUND(COST,2) COST\n FROM APPLY_RESULT WHERE PREDICTION = ${PREDICTION='1','1'|'0'} \n AND PROBABILITY > 0.5 ORDER BY PROBABILITY 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show customer probability to be AFFINITY_CARD responders","text":"%sql \n\nSELECT A.*, B.* \n FROM APPLY_RESULT A, TEST_DATA_CLAS B \n WHERE PREDICTION = ${PREDICTION='1','1'|'0'} AND A.CUST_ID = 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Bach.\t1\t0\t2\tOther\t0\t1\t3\t1\n101510\t1\t0.011862396204033215\t0.9881376037959668\t1\t1\t1\t101510\tBach.\t1\t0\t2\tSales\t0\t1\t3\t1\n101510\t0\t0.9881376037959668\t0.011862396204033177\t1\t1\t1\t101510\tBach.\t1\t0\t2\tSales\t0\t1\t3\t1\n101535\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t101535\tBach.\t1\t0\t2\tProf.\t0\t1\t4\t0\n101535\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t101535\tBach.\t1\t0\t2\tProf.\t0\t1\t4\t0\n101764\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t101764\tBach.\t1\t1\t2\tCleric.\t0\t1\t5\t0\n101764\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t101764\tBach.\t1\t1\t2\tCleric.\t0\t1\t5\t0\n101836\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t101836\tAssoc-A\t1\t1\t2\tProf.\t0\t1\t6\t0\n101836\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t101836\tAssoc-A\t1\t1\t2\tProf.\t0\t1\t6\t0\n101907\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t101907\tBach.\t1\t1\t2\tExec.\t0\t1\t7\t0\n101907\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t101907\tBach.\t1\t1\t2\tExec.\t0\t1\t7\t0\n102023\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t102023\tMasters\t1\t1\t2\tProf.\t0\t1\t6\t0\n102023\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t102023\tMasters\t1\t1\t2\tProf.\t0\t1\t6\t0\n102141\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t102141\tAssoc-A\t1\t1\t2\t?\t0\t1\t5\t0\n102141\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t102141\tAssoc-A\t1\t1\t2\t?\t0\t1\t5\t0\n102228\t1\t0.011862396204033215\t0.9881376037959668\t1\t1\t1\t102228\tHS-grad\t1\t0\t2\tCrafts\t0\t1\t3\t0\n102228\t0\t0.9881376037959668\t0.011862396204033177\t1\t1\t1\t102228\tHS-grad\t1\t0\t2\tCrafts\t0\t1\t3\t0\n102246\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t102246\tBach.\t1\t1\t2\tExec.\t0\t1\t4\t0\n102246\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t102246\tBach.\t1\t1\t2\tExec.\t0\t1\t4\t0\n102422\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t102422\tProfsc\t1\t1\t2\tExec.\t0\t1\t8\t0\n102422\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t102422\tProfsc\t1\t1\t2\tExec.\t0\t1\t8\t0\n102451\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t102451\tHS-grad\t1\t1\t2\tSales\t0\t1\t10\t0\n102451\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t102451\tHS-grad\t1\t1\t2\tSales\t0\t1\t10\t0\n102546\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t102546\tBach.\t1\t0\t2\tExec.\t0\t1\t4\t1\n102546\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t102546\tBach.\t1\t0\t2\tExec.\t0\t1\t4\t1\n102575\t1\t0.011862396204033215\t0.9881376037959668\t1\t1\t1\t102575\tHS-grad\t1\t0\t2\tSales\t0\t1\t3\t1\n102575\t0\t0.9881376037959668\t0.011862396204033177\t1\t1\t1\t102575\tHS-grad\t1\t0\t2\tSales\t0\t1\t3\t1\n102927\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t102927\t< Bach.\t1\t1\t2\tExec.\t0\t1\t5\t0\n102927\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t102927\t< Bach.\t1\t1\t2\tExec.\t0\t1\t5\t0\n103184\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103184\t< Bach.\t1\t1\t2\tExec.\t0\t1\t4\t0\n103184\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103184\t< Bach.\t1\t1\t2\tExec.\t0\t1\t4\t0\n103314\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103314\t< Bach.\t1\t0\t2\tSales\t0\t1\t4\t0\n103314\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103314\t< Bach.\t1\t0\t2\tSales\t0\t1\t4\t0\n103531\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103531\tHS-grad\t1\t1\t2\tSales\t0\t1\t6\t0\n103531\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103531\tHS-grad\t1\t1\t2\tSales\t0\t1\t6\t0\n103569\t1\t0.11293260473588343\t0.8870673952641166\t1\t1\t1\t103569\tBach.\t1\t1\t2\tExec.\t0\t1\t10\t0\n103569\t0\t0.8870673952641166\t0.1129326047358834\t1\t1\t1\t103569\tBach.\t1\t1\t2\tExec.\t0\t1\t10\t0\n103796\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t103796\tPhD\t1\t1\t2\tProf.\t0\t1\t8\t0\n103796\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t103796\tPhD\t1\t1\t2\tProf.\t0\t1\t8\t0\n104324\t1\t0.34210526315789475\t0.6578947368421053\t1\t1\t1\t104324\tProfsc\t1\t1\t2\tProf.\t0\t1\t4\t0\n104324\t0\t0.6578947368421053\t0.3421052631578947\t1\t1\t1\t104324\tProfsc\t1\t1\t2\tProf.\t0\t1\t4\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-758100644","id":"20200915-183828_1242099071","dateCreated":"2018-02-05T22:14:34+0000","dateStarted":"2020-09-15T23:27:53+0000","dateFinished":"2020-09-15T23:27:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:168"},{"text":"%md\n## Create Classification Model using Settings Table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:27:54+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Create Classification Model using Settings Table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_1991751839","id":"20200915-183828_1832022136","dateCreated":"2020-02-06T16:54:35+0000","dateStarted":"2020-09-15T23:27:54+0000","dateFinished":"2020-09-15T23:27:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"},{"title":"Build classification model","text":"%script\n\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE N1_BUILD_SETTINGS PURGE';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nCREATE TABLE N1_BUILD_SETTINGS (setting_name VARCHAR2(30),setting_value VARCHAR2(4000));\n/\nBEGIN DBMS_DATA_MINING.DROP_MODEL('CLASS_MODEL_2');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nBEGIN\n INSERT INTO N1_BUILD_SETTINGS (setting_name, setting_value) VALUES ('ALGO_NAME', 'ALGO_DECISION_TREE');\n INSERT INTO N1_BUILD_SETTINGS (setting_name, setting_value) VALUES ('PREP_AUTO', 'ON');\n\n DBMS_DATA_MINING.CREATE_MODEL('CLASS_MODEL_2', 'CLASSIFICATION', 'TRAIN_DATA_CLAS', 'CUST_ID',' AFFINITY_CARD', 'N1_BUILD_SETTINGS');\n DBMS_OUTPUT.PUT_LINE ('Created model: CLASS_MODEL_2 ');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:29:54+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"fontSize":9,"editorHide":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nTable N1_BUILD_SETTINGS created.\n\n\n---------------------------\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\nCreated model: CLASS_MODEL_2 \n\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108733_-1119709108","id":"20200915-183828_1240387115","dateCreated":"2019-08-07T22:34:19+0000","dateStarted":"2020-09-15T23:29:55+0000","dateFinished":"2020-09-15T23:29:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:170"}],"name":"OML4SQL Classification","id":"468017","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACED2F65282:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/sql/OML4SQL_Clustering.json b/machine-learning/notebooks/sql/OML4SQL_Clustering.json
index f240b7ab..187b7bd9 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Clustering.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Clustering.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n## Identifying Customer Segments using Clustering\n\nOracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning executes inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:34:01+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Identifying Customer Segments using Clustering
\nOracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning executes inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580864563459_813390733","id":"20200205-010243_1185790064","dateCreated":"2018-02-06T14:13:35+0000","dateStarted":"2020-02-07T20:34:01+0000","dateFinished":"2020-02-07T20:34:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md\n![tiny arrow](http://www.oracle.com/technetwork/database/options/advanced-analytics/clustering-5663171.jpg \"tiny arrow\")","user":"MARK","dateUpdated":"2020-02-07T20:34:01+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"tableHide":false,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"
\n"}]},"jobName":"paragraph_1580864563459_1329246023","id":"20200205-010243_864429291","dateCreated":"2018-02-06T14:18:06+0000","dateStarted":"2020-02-07T20:34:02+0000","dateFinished":"2020-02-07T20:34:02+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md \n\nOracle ADW Documentation \nOracle Machine Learning folder on Oracle on Github \nOracle Machine Learning web page: ","user":"MARK","dateUpdated":"2020-02-07T20:34:02+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Oracle on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
\n"}]},"jobName":"paragraph_1580864563459_1328648576","id":"20200205-010243_1233141546","dateCreated":"2018-02-06T14:15:16+0000","dateStarted":"2020-02-07T20:34:03+0000","dateFinished":"2020-02-07T20:34:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Create view joining CUSTOMERS and DEMOGRAPHICS","text":"%script\n\n-- Join relevant attributes from SH.CUSTOMERS and SH.SUPPLEMENTARY_DEMOGRAPHICS tables to create better 360 degree customer table\nCREATE OR REPLACE VIEW CUSTOMERS360_V AS\n SELECT a.CUST_ID, a.CUST_GENDER, a.CUST_MARITAL_STATUS, \n a.CUST_YEAR_OF_BIRTH, a.CUST_INCOME_LEVEL, a.CUST_CREDIT_LIMIT, \n b.EDUCATION, b.AFFINITY_CARD, \n b.HOUSEHOLD_SIZE, b.OCCUPATION, b.YRS_RESIDENCE, b.Y_BOX_GAMES\n FROM SH.CUSTOMERS a, SH.SUPPLEMENTARY_DEMOGRAPHICS b\n WHERE a.CUST_ID = b.CUST_ID;","user":"MARK","dateUpdated":"2020-02-07T20:34:03+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView CUSTOMERS360_V created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580864563459_-1843172716","id":"20200205-010243_2004117227","dateCreated":"2018-02-06T14:25:56+0000","dateStarted":"2020-02-07T20:34:03+0000","dateFinished":"2020-02-07T20:34:03+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Count number of records in CUSTOMERS360_V","text":"%sql\n\nSELECT COUNT(*) FROM CUSTOMERS360_V;","user":"MARK","dateUpdated":"2020-02-07T20:34:03+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":94.0278,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNT(*)\n4500\n"}]},"jobName":"paragraph_1580864563459_1710595477","id":"20200205-010243_1578301516","dateCreated":"2018-02-06T14:52:53+0000","dateStarted":"2020-02-07T20:34:04+0000","dateFinished":"2020-02-07T20:34:04+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Display data in view CUSTOMERS360_V","text":"%sql\n\nSELECT * from CUSTOMERS360_V;","user":"MARK","dateUpdated":"2020-02-07T20:34:04+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":214,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"jobName":"paragraph_1580864563459_-137243743","id":"20200205-010243_1555119693","dateCreated":"2019-08-01T19:44:43+0000","dateStarted":"2020-02-07T20:34:05+0000","dateFinished":"2020-02-07T20:34:05+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Drop, then build the k-Means Clustering model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_KMEANS';\n V_setlst('PREP_AUTO') := 'ON';\n V_setlst('KMNS_DISTANCE') := 'KMNS_EUCLIDEAN';\n V_setlst('KMNS_DETAILS') := 'KMNS_DETAILS_ALL';\n -- V_setlst('KMNS_ITERATIONS') := '3';\n -- V_setlst('KMNS_NUM_BINS') := '10';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'KM_SH_CLUS_SAMPLE',\n MINING_FUNCTION => 'CLUSTERING',\n DATA_QUERY => 'select * from CUSTOMERS360_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID');\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:34:05+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580864563459_-615553009","id":"20200205-010243_834393185","dateCreated":"2018-02-06T14:32:12+0000","dateStarted":"2020-02-07T20:34:05+0000","dateFinished":"2020-02-07T20:34:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Display the model signature","text":"%sql \n-- The model signature includes the attributes used in model training data,\n-- and also corresponds to the attributes expected to apply the model to new data. \n\nSELECT ATTRIBUTE_NAME, ATTRIBUTE_TYPE\nFROM USER_MINING_MODEL_ATTRIBUTES\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE'\nORDER BY ATTRIBUTE_NAME;","user":"MARK","dateUpdated":"2020-02-07T20:34:07+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"ATTRIBUTE_NAME":"string","ATTRIBUTE_TYPE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ATTRIBUTE_NAME\tATTRIBUTE_TYPE\nAFFINITY_CARD\tNUMERICAL\nCUST_CREDIT_LIMIT\tNUMERICAL\nCUST_GENDER\tCATEGORICAL\nCUST_INCOME_LEVEL\tCATEGORICAL\nCUST_MARITAL_STATUS\tCATEGORICAL\nCUST_YEAR_OF_BIRTH\tNUMERICAL\nEDUCATION\tCATEGORICAL\nHOUSEHOLD_SIZE\tCATEGORICAL\nOCCUPATION\tCATEGORICAL\nYRS_RESIDENCE\tNUMERICAL\nY_BOX_GAMES\tNUMERICAL\n"}]},"jobName":"paragraph_1580864563459_-1057014152","id":"20200205-010243_854611576","dateCreated":"2018-02-06T14:57:25+0000","dateStarted":"2020-02-07T20:34:08+0000","dateFinished":"2020-02-07T20:34:08+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Display the model metadata","text":"%sql \n-- In this case, only the mining function and algorithm are available. \n\nSELECT MINING_FUNCTION, ALGORITHM\nFROM USER_MINING_MODELS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE';\n","user":"MARK","dateUpdated":"2020-02-07T20:34:08+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":119},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MINING_FUNCTION":"string","ALGORITHM":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MINING_FUNCTION\tALGORITHM\nCLUSTERING\tKMEANS\n"}]},"jobName":"paragraph_1580864563459_2037216568","id":"20200205-010243_450304358","dateCreated":"2018-02-06T14:58:19+0000","dateStarted":"2020-02-07T20:34:09+0000","dateFinished":"2020-02-07T20:34:09+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Display the actual settings used by the algorithm","text":"%sql\n-- NOTE: The actual settings used by the model during build are listed. \n\nSELECT SETTING_NAME, SETTING_VALUE\nFROM USER_MINING_MODEL_SETTINGS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE'\nORDER BY SETTING_NAME;","user":"MARK","dateUpdated":"2020-02-07T20:34:09+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nALGO_NAME\tALGO_KMEANS\nCLUS_NUM_CLUSTERS\t10\nKMNS_CONV_TOLERANCE\t.001\nKMNS_DETAILS\tKMNS_DETAILS_ALL\nKMNS_DISTANCE\tKMNS_EUCLIDEAN\nKMNS_ITERATIONS\t20\nKMNS_MIN_PCT_ATTR_SUPPORT\t.1\nKMNS_NUM_BINS\t11\nKMNS_RANDOM_SEED\t0\nKMNS_SPLIT_CRITERION\tKMNS_VARIANCE\nODMS_DETAILS\tODMS_ENABLE\nODMS_MISSING_VALUE_TREATMENT\tODMS_MISSING_VALUE_AUTO\nODMS_SAMPLING\tODMS_SAMPLING_DISABLE\nPREP_AUTO\tON\n"}]},"jobName":"paragraph_1580867519724_-2092007438","id":"20200205-015159_1122028356","dateCreated":"2020-02-05T01:51:59+0000","dateStarted":"2020-02-07T20:34:10+0000","dateFinished":"2020-02-07T20:34:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Display the k-Means model details","text":"%sql \n\n-- Display the list of available cluster model details as indicated in VIEW_TYPE\n-- Cluster details are presented as separate views depending on the desired information.\n\nSELECT VIEW_NAME, VIEW_TYPE FROM USER_MINING_MODEL_VIEWS\nWHERE MODEL_NAME='KM_SH_CLUS_SAMPLE'\nORDER BY VIEW_NAME;","user":"MARK","dateUpdated":"2020-02-07T20:34:10+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"VIEW_NAME":"string","VIEW_TYPE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"VIEW_NAME\tVIEW_TYPE\nDM$VAKM_SH_CLUS_SAMPLE\tClustering Attribute Statistics\nDM$VCKM_SH_CLUS_SAMPLE\tk-Means Scoring Centroids\nDM$VDKM_SH_CLUS_SAMPLE\tClustering Description\nDM$VGKM_SH_CLUS_SAMPLE\tGlobal Name-Value Pairs\nDM$VHKM_SH_CLUS_SAMPLE\tClustering Histograms\nDM$VNKM_SH_CLUS_SAMPLE\tNormalization and Missing Value Handling\nDM$VRKM_SH_CLUS_SAMPLE\tClustering Rules\nDM$VSKM_SH_CLUS_SAMPLE\tComputed Settings\nDM$VWKM_SH_CLUS_SAMPLE\tModel Build Alerts\n"}]},"jobName":"paragraph_1580864563459_-660417204","id":"20200205-010243_1965084289","dateCreated":"2018-02-06T14:59:00+0000","dateStarted":"2020-02-07T20:34:11+0000","dateFinished":"2020-02-07T20:34:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Show Cluster details","text":"%sql\n\n-- For each cluster_id, this DM$VD* view provides the number of records \n-- in the cluster, the parent cluster id, the level in the hierarchy, and dispersion.\n-- Dispersion is a measure of cluster quality, and computationally, \n-- the sum of square errors.\n\nSELECT CLUSTER_ID CLU_ID, RECORD_COUNT REC_CNT, PARENT, \n TREE_LEVEL, ROUND(TO_NUMBER(DISPERSION),3) DISPERSION\nFROM DM$VDKM_SH_CLUS_SAMPLE\nORDER BY CLUSTER_ID;","user":"MARK","dateUpdated":"2020-02-07T20:34:11+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLU_ID":"string","REC_CNT":"string","PARENT":"string","TREE_LEVEL":"string","DISPERSION":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLU_ID\tREC_CNT\tPARENT\tTREE_LEVEL\tDISPERSION\n1\t4500\t\t1\t4.969\n2\t3136\t1\t2\t5.049\n3\t1364\t1\t2\t4.786\n4\t492\t3\t3\t4.868\n5\t872\t3\t3\t4.741\n6\t2093\t2\t3\t4.98\n7\t1043\t2\t3\t5.188\n8\t609\t7\t4\t5.295\n9\t434\t7\t4\t5.037\n10\t1977\t6\t4\t4.897\n11\t116\t6\t4\t6.382\n12\t1706\t10\t5\t4.761\n13\t271\t10\t5\t5.753\n14\t1245\t12\t6\t4.603\n15\t461\t12\t6\t5.188\n16\t803\t14\t7\t5.069\n17\t442\t14\t7\t3.757\n18\t443\t16\t8\t4.989\n19\t360\t16\t8\t5.167\n"}]},"jobName":"paragraph_1580864563459_164501993","id":"20200205-010243_1956182616","dateCreated":"2019-07-18T18:13:35+0000","dateStarted":"2020-02-07T20:34:12+0000","dateFinished":"2020-02-07T20:34:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"title":"Show leaf clusters IDs","text":"%sql\n\n-- Show leaf IDs to know for which clusters to show detail\n\nSELECT CLUSTER_ID\nFROM DM$VDKM_SH_CLUS_SAMPLE\nWHERE LEFT_CHILD_ID IS NULL AND RIGHT_CHILD_ID IS NULL\nORDER BY CLUSTER_ID\n","user":"MARK","dateUpdated":"2020-02-07T20:34:13+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":268.133,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\n4\n5\n8\n9\n11\n13\n15\n17\n18\n19\n"}]},"jobName":"paragraph_1580864563459_-152491743","id":"20200205-010243_1156260133","dateCreated":"2019-08-07T21:18:22+0000","dateStarted":"2020-02-07T20:34:13+0000","dateFinished":"2020-02-07T20:34:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"},{"title":"Show Cluster details for cluster 18","text":"%sql\n\n-- For cluster_id 18, this output lists all the attributes that constitute the centroid, with the mean (for numericals) \n-- or mode (for categoricals). It also includes the variance.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, MEAN, VARIANCE, MODE_VALUE\nFROM DM$VAKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 18\nORDER BY ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME;\n","user":"MARK","dateUpdated":"2020-02-07T20:34:13+0000","config":{"colWidth":8,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":268,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","MEAN":"string","VARIANCE":"string","MODE_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tMEAN\tVARIANCE\tMODE_VALUE\n18\tAFFINITY_CARD\t\t0.0\t0.0\t\n18\tCUST_CREDIT_LIMIT\t\t9826.185101580131\t5152977.947560338\t\n18\tCUST_GENDER\t\t\t\tF\n18\tCUST_INCOME_LEVEL\t\t\t\tJ: 190,000 - 249,999\n18\tCUST_MARITAL_STATUS\t\t\t\tDivorc.\n18\tCUST_YEAR_OF_BIRTH\t\t1965.7223476297968\t30.210065064400496\t\n18\tEDUCATION\t\t\t\tHS-grad\n18\tHOUSEHOLD_SIZE\t\t\t\t9+\n18\tOCCUPATION\t\t\t\tCleric.\n18\tYRS_RESIDENCE\t\t3.505643340857788\t0.9383164969408497\t\n18\tY_BOX_GAMES\t\t0.0\t0.0\t\n"}]},"jobName":"paragraph_1580864563459_-81556897","id":"20200205-010243_1725242615","dateCreated":"2019-07-18T18:16:20+0000","dateStarted":"2020-02-07T20:34:14+0000","dateFinished":"2020-02-07T20:34:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:159"},{"title":"Show histogram for attribute YRS_RESIDENCE of cluster 5","text":"%sql\n\n-- Click the bar plot icon and expand settings. Drag BIN_ID to Keys and COUNT to Values.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME,\n BIN_ID, LOWER_BIN_BOUNDARY, UPPER_BIN_BOUNDARY, ATTRIBUTE_VALUE, COUNT \nFROM DM$VHKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 5 AND ATTRIBUTE_NAME = 'YRS_RESIDENCE'\nORDER BY BIN_ID;","user":"MARK","dateUpdated":"2020-02-07T20:34:33+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"BIN_ID","index":3,"aggr":"sum"}],"groups":[],"values":[{"name":"COUNT","index":7,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tBIN_ID\tLOWER_BIN_BOUNDARY\tUPPER_BIN_BOUNDARY\tATTRIBUTE_VALUE\tCOUNT\n5\tYRS_RESIDENCE\t\t1\t0.0\t1.4\t\t174\n5\tYRS_RESIDENCE\t\t2\t1.4\t2.8\t\t324\n5\tYRS_RESIDENCE\t\t3\t2.8\t4.199999999999999\t\t361\n5\tYRS_RESIDENCE\t\t4\t4.199999999999999\t5.6\t\t10\n5\tYRS_RESIDENCE\t\t5\t5.6\t7.0\t\t3\n5\tYRS_RESIDENCE\t\t6\t7.0\t8.4\t\t0\n5\tYRS_RESIDENCE\t\t7\t8.4\t9.8\t\t0\n5\tYRS_RESIDENCE\t\t8\t9.8\t11.200000000000001\t\t0\n5\tYRS_RESIDENCE\t\t9\t11.200000000000001\t12.600000000000001\t\t0\n5\tYRS_RESIDENCE\t\t10\t12.600000000000001\t14.0\t\t0\n"}]},"jobName":"paragraph_1580864563459_-1965744775","id":"20200205-010243_368214634","dateCreated":"2019-07-18T18:39:21+0000","dateStarted":"2020-02-07T20:34:15+0000","dateFinished":"2020-02-07T20:34:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Show histogram for attribute YRS_RESIDENCE of cluster 9","text":"%sql\n\n-- Click the bar plot icon and expand settings. Drag BIN_ID to Keys and COUNT to Values.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME,\n BIN_ID, LOWER_BIN_BOUNDARY, UPPER_BIN_BOUNDARY, ATTRIBUTE_VALUE, COUNT \nFROM DM$VHKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 9 AND ATTRIBUTE_NAME = 'YRS_RESIDENCE'\nORDER BY BIN_ID;","user":"MARK","dateUpdated":"2020-02-07T20:34:33+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","BIN_ID":"string","LOWER_BIN_BOUNDARY":"string","UPPER_BIN_BOUNDARY":"string","ATTRIBUTE_VALUE":"string","COUNT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"BIN_ID","index":3,"aggr":"sum"}],"groups":[],"values":[{"name":"COUNT","index":7,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tBIN_ID\tLOWER_BIN_BOUNDARY\tUPPER_BIN_BOUNDARY\tATTRIBUTE_VALUE\tCOUNT\n9\tYRS_RESIDENCE\t\t1\t0.0\t1.4\t\t0\n9\tYRS_RESIDENCE\t\t2\t1.4\t2.8\t\t0\n9\tYRS_RESIDENCE\t\t3\t2.8\t4.199999999999999\t\t2\n9\tYRS_RESIDENCE\t\t4\t4.199999999999999\t5.6\t\t73\n9\tYRS_RESIDENCE\t\t5\t5.6\t7.0\t\t162\n9\tYRS_RESIDENCE\t\t6\t7.0\t8.4\t\t153\n9\tYRS_RESIDENCE\t\t7\t8.4\t9.8\t\t20\n9\tYRS_RESIDENCE\t\t8\t9.8\t11.200000000000001\t\t22\n9\tYRS_RESIDENCE\t\t9\t11.200000000000001\t12.600000000000001\t\t2\n9\tYRS_RESIDENCE\t\t10\t12.600000000000001\t14.0\t\t0\n"}]},"jobName":"paragraph_1580865492384_-690701349","id":"20200205-011812_1876139808","dateCreated":"2020-02-05T01:18:12+0000","dateStarted":"2020-02-07T20:34:16+0000","dateFinished":"2020-02-07T20:34:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:161"},{"title":"Display rule details for leaf clusters","text":"%sql\n\n-- This view shows attribute level details the the rule associated with each cluster id.\n-- For an attribute, support indicates the number of records that fall within the attribute range specified in the rule antecedent where the given attribute is not null. \n-- Confidence is a number between 0 and 1 that indicates how relevant this attribute is in distinguishing the records in the cluster from all the records in the whole data.\n-- The larger the number, the more relevant the attribute.\n-- \n-- The query shown below reverse-transforms the data to its original values, since the data used for building the model was normalized.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, OPERATOR,\n NUMERIC_VALUE, ATTRIBUTE_VALUE, SUPPORT, ROUND(CONFIDENCE,3) CONFIDENCE\nFROM DM$VRKM_SH_CLUS_SAMPLE \nWHERE cluster_id IN (SELECT cluster_id\n FROM DM$VDKM_SH_CLUS_SAMPLE\n WHERE LEFT_CHILD_ID is NULL and RIGHT_CHILD_ID is NULL)\nORDER BY CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, OPERATOR, NUMERIC_VALUE, ATTRIBUTE_VALUE;","user":"MARK","dateUpdated":"2020-02-07T20:34:16+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","OPERATOR":"string","NUMERIC_VALUE":"string","ATTRIBUTE_VALUE":"string","SUPPORT":"string","CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tOPERATOR\tNUMERIC_VALUE\tATTRIBUTE_VALUE\tSUPPORT\tCONFIDENCE\n4\tAFFINITY_CARD\t\t<=\t0.1\t\t483\t0.027\n4\tAFFINITY_CARD\t\t>=\t0.0\t\t483\t0.027\n4\tCUST_CREDIT_LIMIT\t\t<=\t8250.0\t\t492\t0.11\n4\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t492\t0.11\n4\tCUST_GENDER\t\tIN\t\tF\t492\t0.014\n4\tCUST_GENDER\t\tIN\t\tM\t492\t0.014\n4\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t439\t0.049\n4\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t439\t0.049\n4\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t453\t0.051\n4\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t453\t0.051\n4\tCUST_YEAR_OF_BIRTH\t\t<=\t1986.0\t\t492\t0.134\n4\tCUST_YEAR_OF_BIRTH\t\t>\t1971.4\t\t492\t0.134\n4\tEDUCATION\t\tIN\t\t10th\t449\t0.015\n4\tEDUCATION\t\tIN\t\t11th\t449\t0.015\n4\tEDUCATION\t\tIN\t\t< Bach.\t449\t0.015\n4\tEDUCATION\t\tIN\t\tAssoc-V\t449\t0.015\n4\tEDUCATION\t\tIN\t\tBach.\t449\t0.015\n4\tEDUCATION\t\tIN\t\tHS-grad\t449\t0.015\n4\tHOUSEHOLD_SIZE\t\tIN\t\t1\t448\t0.044\n4\tHOUSEHOLD_SIZE\t\tIN\t\t2\t448\t0.044\n4\tHOUSEHOLD_SIZE\t\tIN\t\t3\t448\t0.044\n4\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t448\t0.044\n4\tOCCUPATION\t\tIN\t\t?\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tCleric.\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tCrafts\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tExec.\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tHandler\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tMachine\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tOther\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tProf.\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tSales\t461\t0.01\n4\tOCCUPATION\t\tIN\t\tTechSup\t461\t0.01\n4\tYRS_RESIDENCE\t\t<=\t4.199999999999999\t\t489\t0.073\n4\tYRS_RESIDENCE\t\t>=\t0.0\t\t489\t0.073\n4\tY_BOX_GAMES\t\t<=\t1.0\t\t492\t0.145\n4\tY_BOX_GAMES\t\t>\t0.9\t\t492\t0.145\n5\tAFFINITY_CARD\t\t<=\t0.1\t\t857\t0.028\n5\tAFFINITY_CARD\t\t>=\t0.0\t\t857\t0.028\n5\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t872\t0.061\n5\tCUST_CREDIT_LIMIT\t\t>\t6900.0\t\t872\t0.061\n5\tCUST_GENDER\t\tIN\t\tF\t872\t0.002\n5\tCUST_GENDER\t\tIN\t\tM\t872\t0.002\n5\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t766\t0.029\n5\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t766\t0.029\n5\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t766\t0.029\n5\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t766\t0.029\n5\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t766\t0.029\n5\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t813\t0.054\n5\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t813\t0.054\n5\tCUST_YEAR_OF_BIRTH\t\t<=\t1986.0\t\t872\t0.133\n5\tCUST_YEAR_OF_BIRTH\t\t>\t1971.4\t\t872\t0.133\n5\tEDUCATION\t\tIN\t\t10th\t773\t0.004\n5\tEDUCATION\t\tIN\t\t11th\t773\t0.004\n5\tEDUCATION\t\tIN\t\t< Bach.\t773\t0.004\n5\tEDUCATION\t\tIN\t\tAssoc-V\t773\t0.004\n5\tEDUCATION\t\tIN\t\tBach.\t773\t0.004\n5\tEDUCATION\t\tIN\t\tHS-grad\t773\t0.004\n5\tHOUSEHOLD_SIZE\t\tIN\t\t1\t743\t0.044\n5\tHOUSEHOLD_SIZE\t\tIN\t\t2\t743\t0.044\n5\tHOUSEHOLD_SIZE\t\tIN\t\t3\t743\t0.044\n5\tOCCUPATION\t\tIN\t\t?\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tCleric.\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tCrafts\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tExec.\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tHandler\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tMachine\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tOther\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tProf.\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tSales\t803\t0.007\n5\tOCCUPATION\t\tIN\t\tTechSup\t803\t0.007\n5\tYRS_RESIDENCE\t\t<=\t4.199999999999999\t\t859\t0.064\n5\tYRS_RESIDENCE\t\t>=\t0.0\t\t859\t0.064\n5\tY_BOX_GAMES\t\t<=\t1.0\t\t872\t0.145\n5\tY_BOX_GAMES\t\t>\t0.9\t\t872\t0.145\n8\tAFFINITY_CARD\t\t<=\t1.0\t\t609\t0.169\n8\tAFFINITY_CARD\t\t>\t0.9\t\t609\t0.169\n8\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t609\t0.002\n8\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t609\t0.002\n8\tCUST_GENDER\t\t=\t\tM\t482\t0.015\n8\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t580\t0.002\n8\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t580\t0.002\n8\tCUST_MARITAL_STATUS\t\t=\t\tMarried\t546\t0.064\n8\tCUST_YEAR_OF_BIRTH\t\t<=\t1978.7\t\t596\t0.051\n8\tCUST_YEAR_OF_BIRTH\t\t>\t1949.5\t\t596\t0.051\n8\tEDUCATION\t\tIN\t\t< Bach.\t575\t0.015\n8\tEDUCATION\t\tIN\t\tAssoc-A\t575\t0.015\n8\tEDUCATION\t\tIN\t\tAssoc-V\t575\t0.015\n8\tEDUCATION\t\tIN\t\tBach.\t575\t0.015\n8\tEDUCATION\t\tIN\t\tHS-grad\t575\t0.015\n8\tEDUCATION\t\tIN\t\tMasters\t575\t0.015\n8\tEDUCATION\t\tIN\t\tProfsc\t575\t0.015\n8\tHOUSEHOLD_SIZE\t\tIN\t\t3\t543\t0.075\n8\tHOUSEHOLD_SIZE\t\tIN\t\t4-5\t543\t0.075\n8\tOCCUPATION\t\tIN\t\tCleric.\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tCrafts\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tExec.\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tMachine\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tProf.\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tSales\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tTechSup\t562\t0.02\n8\tOCCUPATION\t\tIN\t\tTransp.\t562\t0.02\n8\tYRS_RESIDENCE\t\t<=\t5.6\t\t570\t0.044\n8\tYRS_RESIDENCE\t\t>\t2.8\t\t570\t0.044\n8\tY_BOX_GAMES\t\t<=\t1.0\t\t609\t0.023\n8\tY_BOX_GAMES\t\t>=\t0.0\t\t609\t0.023\n9\tAFFINITY_CARD\t\t<=\t1.0\t\t434\t0.169\n9\tAFFINITY_CARD\t\t>\t0.9\t\t434\t0.169\n9\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t434\t0.002\n9\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t434\t0.002\n9\tCUST_GENDER\t\t=\t\tM\t410\t0.098\n9\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t403\t0.002\n9\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t403\t0.002\n9\tCUST_MARITAL_STATUS\t\t=\t\tMarried\t370\t0.059\n9\tCUST_YEAR_OF_BIRTH\t\t<=\t1964.1\t\t407\t0.098\n9\tCUST_YEAR_OF_BIRTH\t\t>\t1934.9\t\t407\t0.098\n9\tEDUCATION\t\tIN\t\t< Bach.\t409\t0.018\n9\tEDUCATION\t\tIN\t\tAssoc-V\t409\t0.018\n9\tEDUCATION\t\tIN\t\tBach.\t409\t0.018\n9\tEDUCATION\t\tIN\t\tHS-grad\t409\t0.018\n9\tEDUCATION\t\tIN\t\tMasters\t409\t0.018\n9\tEDUCATION\t\tIN\t\tPhD\t409\t0.018\n9\tEDUCATION\t\tIN\t\tProfsc\t409\t0.018\n9\tHOUSEHOLD_SIZE\t\tIN\t\t2\t415\t0.072\n9\tHOUSEHOLD_SIZE\t\tIN\t\t3\t415\t0.072\n9\tOCCUPATION\t\tIN\t\t?\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tCleric.\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tCrafts\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tExec.\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tProf.\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tSales\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tTechSup\t404\t0.029\n9\tOCCUPATION\t\tIN\t\tTransp.\t404\t0.029\n9\tYRS_RESIDENCE\t\t<=\t11.2\t\t430\t0.136\n9\tYRS_RESIDENCE\t\t>\t4.199999999999999\t\t430\t0.136\n9\tY_BOX_GAMES\t\t<=\t0.1\t\t434\t0.053\n9\tY_BOX_GAMES\t\t>=\t0.0\t\t434\t0.053\n11\tAFFINITY_CARD\t\t<=\t0.1\t\t111\t0.019\n11\tAFFINITY_CARD\t\t>=\t0.0\t\t111\t0.019\n11\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t116\t0.004\n11\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t116\t0.004\n11\tCUST_GENDER\t\tIN\t\tF\t116\t0.02\n11\tCUST_GENDER\t\tIN\t\tM\t116\t0.02\n11\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t111\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t111\t0.007\n11\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t98\t0.08\n11\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t98\t0.08\n11\tCUST_MARITAL_STATUS\t\tIN\t\tWidowed\t98\t0.08\n11\tCUST_YEAR_OF_BIRTH\t\t<=\t1949.5\t\t116\t0.226\n11\tCUST_YEAR_OF_BIRTH\t\t>\t1920.3\t\t116\t0.226\n11\tEDUCATION\t\tIN\t\t10th\t107\t0.018\n11\tEDUCATION\t\tIN\t\t7th-8th\t107\t0.018\n11\tEDUCATION\t\tIN\t\t9th\t107\t0.018\n11\tEDUCATION\t\tIN\t\t< Bach.\t107\t0.018\n11\tEDUCATION\t\tIN\t\tAssoc-V\t107\t0.018\n11\tEDUCATION\t\tIN\t\tBach.\t107\t0.018\n11\tEDUCATION\t\tIN\t\tHS-grad\t107\t0.018\n11\tEDUCATION\t\tIN\t\tMasters\t107\t0.018\n11\tHOUSEHOLD_SIZE\t\tIN\t\t2\t108\t0.042\n11\tHOUSEHOLD_SIZE\t\tIN\t\t3\t108\t0.042\n11\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t108\t0.042\n11\tOCCUPATION\t\tIN\t\t?\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tCleric.\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tCrafts\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tExec.\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tFarming\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tHandler\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tHouse-s\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tOther\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tProf.\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tSales\t111\t0.027\n11\tOCCUPATION\t\tIN\t\tTechSup\t111\t0.027\n11\tYRS_RESIDENCE\t\t<=\t4.199999999999999\t\t109\t0.038\n11\tYRS_RESIDENCE\t\t>=\t0.0\t\t109\t0.038\n11\tY_BOX_GAMES\t\t<=\t0.1\t\t116\t0.053\n11\tY_BOX_GAMES\t\t>=\t0.0\t\t116\t0.053\n13\tAFFINITY_CARD\t\t<=\t0.1\t\t271\t0.039\n13\tAFFINITY_CARD\t\t>=\t0.0\t\t271\t0.039\n13\tCUST_CREDIT_LIMIT\t\t<=\t12300.0\t\t269\t0.03\n13\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t269\t0.03\n13\tCUST_GENDER\t\t=\t\tM\t222\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tA: Below 30,000\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t256\t0.023\n13\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t256\t0.023\n13\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t225\t0.042\n13\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t225\t0.042\n13\tCUST_YEAR_OF_BIRTH\t\t<=\t1964.1\t\t252\t0.127\n13\tCUST_YEAR_OF_BIRTH\t\t>\t1927.6\t\t252\t0.127\n13\tEDUCATION\t\tIN\t\t10th\t244\t0.009\n13\tEDUCATION\t\tIN\t\t11th\t244\t0.009\n13\tEDUCATION\t\tIN\t\t7th-8th\t244\t0.009\n13\tEDUCATION\t\tIN\t\t9th\t244\t0.009\n13\tEDUCATION\t\tIN\t\t< Bach.\t244\t0.009\n13\tEDUCATION\t\tIN\t\tAssoc-V\t244\t0.009\n13\tEDUCATION\t\tIN\t\tBach.\t244\t0.009\n13\tEDUCATION\t\tIN\t\tHS-grad\t244\t0.009\n13\tHOUSEHOLD_SIZE\t\tIN\t\t2\t238\t0.046\n13\tHOUSEHOLD_SIZE\t\tIN\t\t3\t238\t0.046\n13\tOCCUPATION\t\tIN\t\t?\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tCleric.\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tCrafts\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tExec.\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tFarming\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tMachine\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tOther\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tProf.\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tSales\t249\t0.01\n13\tOCCUPATION\t\tIN\t\tTransp.\t249\t0.01\n13\tYRS_RESIDENCE\t\t<=\t9.799999999999999\t\t251\t0.138\n13\tYRS_RESIDENCE\t\t>\t4.199999999999999\t\t251\t0.138\n13\tY_BOX_GAMES\t\t<=\t0.1\t\t271\t0.053\n13\tY_BOX_GAMES\t\t>=\t0.0\t\t271\t0.053\n15\tAFFINITY_CARD\t\t<=\t0.1\t\t461\t0.039\n15\tAFFINITY_CARD\t\t>=\t0.0\t\t461\t0.039\n15\tCUST_CREDIT_LIMIT\t\t<=\t5550.0\t\t445\t0.129\n15\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t445\t0.129\n15\tCUST_GENDER\t\tIN\t\tF\t461\t0.008\n15\tCUST_GENDER\t\tIN\t\tM\t461\t0.008\n15\tCUST_INCOME_LEVEL\t\tIN\t\tA: Below 30,000\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t460\t0.076\n15\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t460\t0.076\n15\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t425\t0.013\n15\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t425\t0.013\n15\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t425\t0.013\n15\tCUST_YEAR_OF_BIRTH\t\t<=\t1978.7\t\t440\t0.049\n15\tCUST_YEAR_OF_BIRTH\t\t>\t1949.5\t\t440\t0.049\n15\tEDUCATION\t\tIN\t\t< Bach.\t419\t0.004\n15\tEDUCATION\t\tIN\t\tAssoc-A\t419\t0.004\n15\tEDUCATION\t\tIN\t\tAssoc-V\t419\t0.004\n15\tEDUCATION\t\tIN\t\tBach.\t419\t0.004\n15\tEDUCATION\t\tIN\t\tHS-grad\t419\t0.004\n15\tEDUCATION\t\tIN\t\tMasters\t419\t0.004\n15\tHOUSEHOLD_SIZE\t\tIN\t\t2\t398\t0.014\n15\tHOUSEHOLD_SIZE\t\tIN\t\t3\t398\t0.014\n15\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t398\t0.014\n15\tOCCUPATION\t\tIN\t\tCleric.\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tCrafts\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tExec.\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tFarming\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tHandler\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tMachine\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tOther\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tProf.\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tSales\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tTechSup\t436\t0.002\n15\tOCCUPATION\t\tIN\t\tTransp.\t436\t0.002\n15\tYRS_RESIDENCE\t\t<=\t5.6\t\t407\t0.03\n15\tYRS_RESIDENCE\t\t>\t2.8\t\t407\t0.03\n15\tY_BOX_GAMES\t\t<=\t0.1\t\t461\t0.053\n15\tY_BOX_GAMES\t\t>=\t0.0\t\t461\t0.053\n17\tAFFINITY_CARD\t\t<=\t0.1\t\t442\t0.039\n17\tAFFINITY_CARD\t\t>=\t0.0\t\t442\t0.039\n17\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t431\t0.044\n17\tCUST_CREDIT_LIMIT\t\t>\t6900.0\t\t431\t0.044\n17\tCUST_GENDER\t\t=\t\tM\t442\t0.192\n17\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t402\t0.016\n17\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t402\t0.016\n17\tCUST_MARITAL_STATUS\t\t=\t\tMarried\t442\t0.125\n17\tCUST_YEAR_OF_BIRTH\t\t<=\t1978.7\t\t436\t0.044\n17\tCUST_YEAR_OF_BIRTH\t\t>\t1942.2\t\t436\t0.044\n17\tEDUCATION\t\tIN\t\t10th\t404\t0.004\n17\tEDUCATION\t\tIN\t\t7th-8th\t404\t0.004\n17\tEDUCATION\t\tIN\t\t9th\t404\t0.004\n17\tEDUCATION\t\tIN\t\t< Bach.\t404\t0.004\n17\tEDUCATION\t\tIN\t\tAssoc-A\t404\t0.004\n17\tEDUCATION\t\tIN\t\tAssoc-V\t404\t0.004\n17\tEDUCATION\t\tIN\t\tBach.\t404\t0.004\n17\tEDUCATION\t\tIN\t\tHS-grad\t404\t0.004\n17\tEDUCATION\t\tIN\t\tMasters\t404\t0.004\n17\tHOUSEHOLD_SIZE\t\t=\t\t3\t437\t0.144\n17\tOCCUPATION\t\tIN\t\tCleric.\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tCrafts\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tExec.\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tFarming\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tHandler\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tMachine\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tOther\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tProf.\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tSales\t417\t0.014\n17\tOCCUPATION\t\tIN\t\tTransp.\t417\t0.014\n17\tYRS_RESIDENCE\t\t<=\t7.0\t\t408\t0.025\n17\tYRS_RESIDENCE\t\t>\t2.8\t\t408\t0.025\n17\tY_BOX_GAMES\t\t<=\t0.1\t\t440\t0.049\n17\tY_BOX_GAMES\t\t>=\t0.0\t\t440\t0.049\n18\tAFFINITY_CARD\t\t<=\t0.1\t\t443\t0.039\n18\tAFFINITY_CARD\t\t>=\t0.0\t\t443\t0.039\n18\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t441\t0.051\n18\tCUST_CREDIT_LIMIT\t\t>\t6900.0\t\t441\t0.051\n18\tCUST_GENDER\t\t=\t\tF\t335\t0.133\n18\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t424\t0.014\n18\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t424\t0.014\n18\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t399\t0.055\n18\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t399\t0.055\n18\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t399\t0.055\n18\tCUST_MARITAL_STATUS\t\tIN\t\tSepar.\t399\t0.055\n18\tCUST_YEAR_OF_BIRTH\t\t<=\t1978.7\t\t443\t0.07\n18\tCUST_YEAR_OF_BIRTH\t\t>\t1949.5\t\t443\t0.07\n18\tEDUCATION\t\tIN\t\t< Bach.\t381\t0.004\n18\tEDUCATION\t\tIN\t\tAssoc-A\t381\t0.004\n18\tEDUCATION\t\tIN\t\tAssoc-V\t381\t0.004\n18\tEDUCATION\t\tIN\t\tBach.\t381\t0.004\n18\tEDUCATION\t\tIN\t\tHS-grad\t381\t0.004\n18\tHOUSEHOLD_SIZE\t\tIN\t\t1\t434\t0.111\n18\tHOUSEHOLD_SIZE\t\tIN\t\t2\t434\t0.111\n18\tHOUSEHOLD_SIZE\t\tIN\t\t4-5\t434\t0.111\n18\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t434\t0.111\n18\tOCCUPATION\t\tIN\t\tCleric.\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tCrafts\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tExec.\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tMachine\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tOther\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tProf.\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tSales\t386\t0.007\n18\tOCCUPATION\t\tIN\t\tTechSup\t386\t0.007\n18\tYRS_RESIDENCE\t\t<=\t5.6\t\t432\t0.041\n18\tYRS_RESIDENCE\t\t>\t1.4\t\t432\t0.041\n18\tY_BOX_GAMES\t\t<=\t0.1\t\t443\t0.053\n18\tY_BOX_GAMES\t\t>=\t0.0\t\t443\t0.053\n19\tAFFINITY_CARD\t\t<=\t0.1\t\t360\t0.039\n19\tAFFINITY_CARD\t\t>=\t0.0\t\t360\t0.039\n19\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t359\t0.052\n19\tCUST_CREDIT_LIMIT\t\t>\t6900.0\t\t359\t0.052\n19\tCUST_GENDER\t\tIN\t\tF\t360\t0.004\n19\tCUST_GENDER\t\tIN\t\tM\t360\t0.004\n19\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t350\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t350\t0.017\n19\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t342\t0.107\n19\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t342\t0.107\n19\tCUST_MARITAL_STATUS\t\tIN\t\tSepar.\t342\t0.107\n19\tCUST_MARITAL_STATUS\t\tIN\t\tWidowed\t342\t0.107\n19\tCUST_YEAR_OF_BIRTH\t\t<=\t1971.4\t\t354\t0.062\n19\tCUST_YEAR_OF_BIRTH\t\t>\t1934.9\t\t354\t0.062\n19\tEDUCATION\t\tIN\t\t< Bach.\t322\t0.006\n19\tEDUCATION\t\tIN\t\tAssoc-A\t322\t0.006\n19\tEDUCATION\t\tIN\t\tAssoc-V\t322\t0.006\n19\tEDUCATION\t\tIN\t\tBach.\t322\t0.006\n19\tEDUCATION\t\tIN\t\tHS-grad\t322\t0.006\n19\tEDUCATION\t\tIN\t\tMasters\t322\t0.006\n19\tHOUSEHOLD_SIZE\t\tIN\t\t2\t323\t0.133\n19\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t323\t0.133\n19\tOCCUPATION\t\tIN\t\tCleric.\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tCrafts\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tExec.\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tHandler\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tMachine\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tOther\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tProf.\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tSales\t326\t0.003\n19\tOCCUPATION\t\tIN\t\tTransp.\t326\t0.003\n19\tYRS_RESIDENCE\t\t<=\t8.399999999999999\t\t349\t0.061\n19\tYRS_RESIDENCE\t\t>\t2.8\t\t349\t0.061\n19\tY_BOX_GAMES\t\t<=\t0.1\t\t360\t0.053\n19\tY_BOX_GAMES\t\t>=\t0.0\t\t360\t0.053\n"}]},"jobName":"paragraph_1580864563459_-1177051233","id":"20200205-010243_638316726","dateCreated":"2019-07-18T19:01:50+0000","dateStarted":"2020-02-07T20:34:17+0000","dateFinished":"2020-02-07T20:34:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"title":"Apply model to CUSTOMERS360_V and display customer count per cluster","text":"%sql\n\n-- For a descriptive machine learning technique like Clustering, \"scoring\" involves assigning each record to a cluster, with a certain probability. \n-- However, one can also obtain the probability of a record belonging to each cluster.\n-- Hover over bars in the bar chart to view the size of each cluster. \n\nSELECT CLUSTER_ID(KM_SH_CLUS_SAMPLE USING *) AS CLUS, COUNT(*) AS CNT \nFROM CUSTOMERS360_V\nGROUP BY CLUSTER_ID(KM_SH_CLUS_SAMPLE USING *)\nORDER BY CNT DESC;","user":"MARK","dateUpdated":"2020-02-07T20:34:33+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CLUS","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"CNT","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUS\tCNT\n5\t872\n8\t609\n4\t492\n15\t461\n18\t443\n17\t442\n9\t434\n19\t360\n13\t271\n11\t116\n"}]},"jobName":"paragraph_1580864563459_1073614312","id":"20200205-010243_1005850459","dateCreated":"2019-07-18T19:03:42+0000","dateStarted":"2020-02-07T20:34:17+0000","dateFinished":"2020-02-07T20:34:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"title":"List top ten customers most likely in cluster 5","text":"%sql\n\nSELECT CUST_ID, \n ROUND(CLUSTER_PROBABILITY(KM_SH_CLUS_SAMPLE, 5 USING *),3) PROB\nFROM CUSTOMERS360_V\nWHERE rownum < 10\nORDER BY PROB DESC;","user":"MARK","dateUpdated":"2020-02-07T20:34:17+0000","config":{"colWidth":5,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":207.969,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROB\n102308\t0.277\n101232\t0.268\n101610\t0.233\n102828\t0.097\n103948\t0.097\n100134\t0.095\n100696\t0.06\n103791\t0.038\n100804\t0.026\n"}]},"jobName":"paragraph_1580864563459_1443413691","id":"20200205-010243_1963495030","dateCreated":"2019-08-07T21:37:33+0000","dateStarted":"2020-02-07T20:34:18+0000","dateFinished":"2020-02-07T20:34:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:164"},{"title":"List four most relevant attributes for specific customers and likely cluster assignments","text":"%sql\n\n-- For customer id, pick among 101362, 102087 or 100456. These represent customers \n-- with > 20% likelihood of assignment to their cluster.\n-- HINT: Pick the cust_id to see the most likely cluster_id assignment and the \n-- prediction_details for the top 5 attributes that help to assign that customer to that cluster.\n\nSELECT CUST_ID,\n CLUSTER_ID,\n ROUND(PROB*100,2) PROB_PCT,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\nFROM (SELECT CUST_ID, S.CLUSTER_ID, PROBABILITY PROB, \n CLUSTER_DETAILS(KM_SH_CLUS_SAMPLE USING T.*) DETAIL\n FROM (SELECT V.*, CLUSTER_SET(KM_SH_CLUS_SAMPLE, NULL, 0.2 USING *) PSET\n FROM CUSTOMERS360_V V\n WHERE cust_id = ${CUST_ID ='101362','101362'|'102087'| '100456'}) T,\n TABLE(T.PSET) S\n ORDER BY 2 DESC) OUT,\n XMLTABLE('/Details'\n PASSING OUT.DETAIL\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') OUTPRED;\n\n","user":"MARK","dateUpdated":"2020-02-07T20:34:18+0000","config":{"colWidth":7,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":138.056,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CLUSTER_ID":"string","PROB_PCT":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"runOnSelectionChange":true,"fontSize":9},"settings":{"params":{"s.cluster_id":"'5'","cust_id":"'100456'","cluster_id":"'5'","CUST_ID":"'101362'"},"forms":{"CUST_ID":{"type":"FormInput","name":"CUST_ID","defaultValue":"'101362'","hidden":false,"$$hashKey":"object:909"}}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCLUSTER_ID\tPROB_PCT\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n101362\t5\t22.33\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".078\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1978\" weight=\".04\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"11000\" weight=\".024\" \t\"YRS_RESIDENCE\" actualValue=\"3\" weight=\".016\" \n"}]},"jobName":"paragraph_1580864563459_1056097370","id":"20200205-010243_1953018735","dateCreated":"2019-07-18T19:06:42+0000","dateStarted":"2020-02-07T20:34:19+0000","dateFinished":"2020-02-07T20:34:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:165"},{"title":"List 5 rows that are anomalous compared to their Clusters","text":"%sql\n\n-- List top 5 rows that are most unusual as measured by their distance from the cluster centroids. \n-- A row that is far from all cluster centroids may be anomalous.\n\nSELECT *\nFROM (SELECT CUST_ID, RANK() OVER (ORDER BY CLUSTER_DISTANCE(KM_SH_CLUS_SAMPLE USING *) DESC) RANK_ANOMALOUS,\n round(CLUSTER_DISTANCE(KM_SH_CLUS_SAMPLE USING *),3) DISTANCE_TO_CENTROID\n FROM CUSTOMERS360_V)\nWHERE RANK_ANOMALOUS <= 5\nORDER BY RANK_ANOMALOUS;","user":"MARK","dateUpdated":"2020-02-07T20:34:19+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":204.006,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","RANK_ANOMALOUS":"string","DISTANCE_TO_CENTROID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tRANK_ANOMALOUS\tDISTANCE_TO_CENTROID\n102555\t1\t4.987\n103165\t2\t4.251\n102449\t3\t4.195\n100210\t4\t4.132\n102570\t5\t4.03\n"}]},"jobName":"paragraph_1580864563459_1608434233","id":"20200205-010243_220160788","dateCreated":"2019-07-31T18:24:02+0000","dateStarted":"2020-02-07T20:34:20+0000","dateFinished":"2020-02-07T20:34:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:166"},{"text":"%md\n## Alternative approach for building clustering model using an analytic function\nIn addition to creating a persistent model that is stored as a schema object, models can be built and scored on data dynamically using Oracle's analytic function syntax.\n","user":"MARK","dateUpdated":"2020-02-07T20:34:20+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative approach for building clustering model using an analytic function
\nIn addition to creating a persistent model that is stored as a schema object, models can be built and scored on data dynamically using Oracle's analytic function syntax.
\n"}]},"jobName":"paragraph_1580866880246_-230150226","id":"20200205-014120_1473310711","dateCreated":"2020-02-05T01:41:20+0000","dateStarted":"2020-02-07T20:34:21+0000","dateFinished":"2020-02-07T20:34:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:167"},{"title":"Build and apply a transient model using analytic functions","text":"%sql\n\n-- Segment customers into 4 groups based on common characteristics and provide the segment assignments. Note that this query does\n-- not reference a pre-build clustering model, but rather it segments the input data on the fly. Rerunning the same query with different\n-- input will result in a different segmentation. It also provides the main reasons (attributes) why a given customer\n-- is placed into a specific cluster.\n\n-- Note that the where clause has to be placed outside of the inline view so that the analytic function will build the clustering model\n-- on all the data, and not just the selected customers.\n\nSELECT CUST_ID,\n CLUSTER_ID,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\nFROM (SELECT * \n FROM (SELECT CUST_ID,\n CLUSTER_ID(INTO 4 USING CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, \n CUST_CREDIT_LIMIT, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION,\n YRS_RESIDENCE, Y_BOX_GAMES) OVER () CLUSTER_ID,\n CLUSTER_DETAILS(INTO 4 USING CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, \n CUST_CREDIT_LIMIT, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION,\n YRS_RESIDENCE, Y_BOX_GAMES) OVER () CLUSTER_DET\n FROM CUSTOMERS360_V)\n WHERE CUST_ID <= 100010\n ORDER By 1) OUT,\n XMLTABLE('/Details'\n PASSING OUT.CLUSTER_DET\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') OUTPRED;","user":"MARK","dateUpdated":"2020-02-07T20:34:21+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CLUSTER_ID":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCLUSTER_ID\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n100001\t3\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".059\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".038\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".015\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".013\" \n100002\t4\t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".025\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".024\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".019\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".017\" \n100003\t4\t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".025\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".018\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".016\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".015\" \n100004\t4\t\"CUST_CREDIT_LIMIT\" actualValue=\"15000\" weight=\".038\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".028\" \t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".028\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".027\" \n100005\t1\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".157\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".009\" \t\"YRS_RESIDENCE\" actualValue=\"5\" weight=\".009\" \t\"EDUCATION\" actualValue=\"Assoc-A\" weight=\".007\" \n100006\t2\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".131\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1983\" weight=\".086\" \t\"YRS_RESIDENCE\" actualValue=\"2\" weight=\".056\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".038\" \n100007\t4\t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".027\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".026\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".026\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".017\" \n100008\t4\t\"CUST_CREDIT_LIMIT\" actualValue=\"15000\" weight=\".035\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".026\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".019\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".018\" \n100009\t1\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".137\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".01\" \t\"OCCUPATION\" actualValue=\"Prof.\" weight=\".007\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"3000\" weight=\".004\" \n100010\t2\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".115\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1975\" weight=\".046\" \t\"YRS_RESIDENCE\" actualValue=\"3\" weight=\".028\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".013\" \n"}]},"jobName":"paragraph_1580864563459_-1039453216","id":"20200205-010243_378157883","dateCreated":"2019-07-18T18:53:54+0000","dateStarted":"2020-02-07T20:34:22+0000","dateFinished":"2020-02-07T20:34:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:168"},{"text":"%md\n## Alternative approach to creating clustering model using a settings table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model. \n","user":"MARK","dateUpdated":"2020-02-07T20:34:22+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative approach to creating clustering model using a settings table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.
\n"}]},"jobName":"paragraph_1580866715778_1090088727","id":"20200205-013835_1483889389","dateCreated":"2020-02-05T01:38:35+0000","dateStarted":"2020-02-07T20:34:25+0000","dateFinished":"2020-02-07T20:34:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:169"},{"title":"Drop existing model settings table","text":"%script\n\nDECLARE\nv_sql varchar2(100);\n\n--drop build settings \nBEGIN\n v_sql := 'DROP TABLE KM_SH_SAMPLE_SETTINGS PURGE';\n EXECUTE IMMEDIATE v_sql;\n DBMS_OUTPUT.PUT_LINE (v_sql ||': succeeded');\nEXCEPTION\n WHEN OTHERS THEN\n DBMS_OUTPUT.PUT_LINE (v_sql ||': drop unneccessary - no table exists');\nEND;\n/","user":"MARK","dateUpdated":"2020-02-07T20:34:25+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"DROP TABLE KM_SH_SAMPLE_SETTINGS PURGE: succeeded\n\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580866156235_-296509656","id":"20200205-012916_2131768101","dateCreated":"2020-02-05T01:29:16+0000","dateStarted":"2020-02-07T20:34:25+0000","dateFinished":"2020-02-07T20:34:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:170"},{"title":"Create a model settings table","text":"%script \n\nDECLARE\nv_sql varchar2(100);\n\n--Create a Build Setting for K-Means Model Build \nBEGIN\n v_sql := 'CREATE TABLE KM_SH_SAMPLE_SETTINGS (SETTING_NAME VARCHAR2(30),SETTING_VALUE VARCHAR2(4000))';\n EXECUTE IMMEDIATE v_sql;\n DBMS_OUTPUT.PUT_LINE (v_sql ||': succeeded');\nEXCEPTION\n WHEN OTHERS THEN\n DBMS_OUTPUT.PUT_LINE (v_sql ||': create failed');\nEND;\n/","user":"MARK","dateUpdated":"2020-02-07T20:34:26+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"CREATE TABLE KM_SH_SAMPLE_SETTINGS (SETTING_NAME VARCHAR2(30),SETTING_VALUE\nVARCHAR2(4000)): succeeded\n\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580866258018_-2114507860","id":"20200205-013058_1736782672","dateCreated":"2020-02-05T01:30:58+0000","dateStarted":"2020-02-07T20:34:26+0000","dateFinished":"2020-02-07T20:34:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:171"},{"title":"Populate settings table","text":"%script \n--HINT: Consider other Model Settings below \nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN \n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.KMNS_DISTANCE,DBMS_DATA_MINING.KMNS_EUCLIDEAN);\n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.PREP_AUTO,DBMS_DATA_MINING.PREP_AUTO_ON);\n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.KMNS_DETAILS, DBMS_DATA_MINING.KMNS_DETAILS_ALL);\n -- Other examples of overrides are:\n -- (dbms_data_mining.kmns_iterations,3);\n -- (dbms_data_mining.kmns_block_growth,2);\n -- (dbms_data_mining.kmns_conv_tolerance,0.01);\n -- (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_variance);\n -- (dbms_data_mining.kmns_min_pct_attr_support,0.1);\n -- (dbms_data_mining.kmns_num_bins,10);\nEND;\n/","user":"MARK","dateUpdated":"2020-02-07T20:34:26+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580866298587_-1577273228","id":"20200205-013138_1607692165","dateCreated":"2020-02-05T01:31:38+0000","dateStarted":"2020-02-07T20:34:27+0000","dateFinished":"2020-02-07T20:34:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:172"},{"title":"View the contents of the model settings table","text":"%sql\n-- NOTE: The settings table can be reused or modified in multiple model build executions. \n\nSELECT * FROM KM_SH_SAMPLE_SETTINGS;","user":"MARK","dateUpdated":"2020-02-07T20:34:28+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nKMNS_DISTANCE\tKMNS_EUCLIDEAN\nPREP_AUTO\tON\nKMNS_DETAILS\tKMNS_DETAILS_ALL\n"}]},"jobName":"paragraph_1580866332970_-303721659","id":"20200205-013212_621127795","dateCreated":"2020-02-05T01:32:12+0000","dateStarted":"2020-02-07T20:34:28+0000","dateFinished":"2020-02-07T20:34:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:173"},{"title":"Drop, then build the k-Means Clustering model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE2');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nBEGIN\nDBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'KM_SH_CLUS_SAMPLE2',\n MINING_FUNCTION => DBMS_DATA_MINING.CLUSTERING,\n DATA_TABLE_NAME => 'CUSTOMERS360_V',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n SETTINGS_TABLE_NAME => 'KM_SH_SAMPLE_SETTINGS');\nEND;\n/","user":"MARK","dateUpdated":"2020-02-07T20:34:28+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580866372302_-838630335","id":"20200205-013252_1427086742","dateCreated":"2020-02-05T01:32:52+0000","dateStarted":"2020-02-07T20:34:29+0000","dateFinished":"2020-02-07T20:34:31+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:174"},{"title":"Display the actual settings used by the algorithm","text":"%sql\n-- NOTE: The actual settings used by the model during build are listed\n\nSELECT SETTING_NAME, SETTING_VALUE\nFROM USER_MINING_MODEL_SETTINGS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE2'\nORDER BY SETTING_NAME;","user":"MARK","dateUpdated":"2020-02-07T20:34:32+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nALGO_NAME\tALGO_KMEANS\nCLUS_NUM_CLUSTERS\t10\nKMNS_CONV_TOLERANCE\t.001\nKMNS_DETAILS\tKMNS_DETAILS_ALL\nKMNS_DISTANCE\tKMNS_EUCLIDEAN\nKMNS_ITERATIONS\t20\nKMNS_MIN_PCT_ATTR_SUPPORT\t.1\nKMNS_NUM_BINS\t11\nKMNS_RANDOM_SEED\t0\nKMNS_SPLIT_CRITERION\tKMNS_VARIANCE\nODMS_DETAILS\tODMS_ENABLE\nODMS_MISSING_VALUE_TREATMENT\tODMS_MISSING_VALUE_AUTO\nODMS_SAMPLING\tODMS_SAMPLING_DISABLE\nPREP_AUTO\tON\n"}]},"jobName":"paragraph_1580864563459_-1193010436","id":"20200205-010243_841380862","dateCreated":"2018-02-06T14:32:18+0000","dateStarted":"2020-02-07T20:34:32+0000","dateFinished":"2020-02-07T20:34:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:175"},{"text":"%sql\n","user":"MARCOS","dateUpdated":"2019-08-12T06:20:26+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","fontSize":9},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1580864563459_937994184","id":"20200205-010243_666926242","dateCreated":"2019-07-31T18:25:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:176"}],"name":"Clustering","id":"123","noteParams":{},"noteForms":{},"angularObjects":{},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
+{"paragraphs":[{"text":"%md\n## Identifying Customer Segments using Clustering\n\nOracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning executes inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:12+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Identifying Customer Segments using Clustering
\nOracle Machine Learning supports clustering using several algorithms, including k-Means, O-Cluster, and Expectation Maximization. In this notebook, we illustrate how to identify natural clusters of customers using the CUSTOMERS dataset from the SH schema using the unsupervised learning k-Means algorithm. The data exploration, preparation, and machine learning executes inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
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OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Clustering: http://www.oracle.com/goto/ml-clustering
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CUSTOMERS360_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:14+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":94.0278,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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CUSTOMERS360_V;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:14+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":214,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n102828\tF\tNeverM\t1967\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t1\tMachine\t4\t0\n101232\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n103948\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n103791\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n101610\tM\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tHandler\t0\t1\n102308\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tProf.\t2\t1\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n103401\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tCrafts\t4\t1\n102740\tF\tDivorc.\t1929\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tOther\t0\t0\n103049\tM\tMarried\t1970\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t3\tProf.\t3\t0\n103021\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t2\t1\n103829\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tMachine\t3\t0\n104077\tM\tNeverM\t1975\tL: 300,000 and above\t9000\tProfsc\t0\t2\tProf.\t3\t1\n101243\tF\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t11th\t0\t9+\t?\t1\t1\n101798\tM\tMarried\t1960\tG: 130,000 - 149,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n101315\tM\tMarried\t1954\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tCrafts\t5\t0\n101940\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t2\t1\n104454\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tSales\t8\t0\n102060\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tHandler\t3\t1\n101297\tF\tSepar.\t1960\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tSales\t1\t0\n103046\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n101392\tF\tDivorc.\t1948\tD: 70,000 - 89,999\t3000\tAssoc-V\t0\t9+\tCleric.\t6\t0\n101893\tM\tNeverM\t1976\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tCrafts\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n102893\tF\tDivorc.\t1957\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n102276\tM\tMarried\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n103564\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProf.\t6\t0\n104459\tM\tMarried\t1963\tL: 300,000 and above\t11000\t7th-8th\t0\t3\tSales\t4\t0\n102404\tM\tDivorc.\t1954\tK: 250,000 - 299,999\t11000\tMasters\t1\t2\tSales\t6\t0\n101891\tM\tMarried\t1956\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tCrafts\t5\t0\n104426\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tTechSup\t2\t1\n102894\tM\tDivorc.\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t2\tExec.\t5\t0\n102561\tF\tSepar.\t1954\tF: 110,000 - 129,999\t9000\t10th\t0\t9+\tOther\t5\t0\n103302\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n103159\tM\tMarried\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n101044\tM\tMarried\t1966\tL: 300,000 and above\t11000\tMasters\t1\t3\tProf.\t5\t0\n103613\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n104388\tF\tNeverM\t1980\tK: 250,000 - 299,999\t7000\tBach.\t0\t6-8\tHandler\t2\t1\n101898\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tExec.\t5\t0\n102955\tM\tMarried\t1921\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t8\t0\n103065\tM\tNeverM\t1963\tI: 170,000 - 189,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n101724\tM\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tMachine\t4\t1\n102815\tM\tMarried\t1970\tL: 300,000 and above\t7000\tHS-grad\t1\t3\tSales\t3\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n101956\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tProf.\t1\t1\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n103778\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProf.\t3\t0\n101170\tM\tMarried\t1970\tL: 300,000 and above\t7000\t< Bach.\t1\t3\tProf.\t3\t0\n101519\tF\tDivorc.\t1957\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tSales\t5\t0\n103706\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n101509\tM\tMarried\t1951\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tOther\t5\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n101113\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n103583\tM\tMarried\t1957\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tMachine\t5\t0\n101538\tM\tMarried\t1964\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tCrafts\t6\t0\n103746\tF\tMarried\t1955\tD: 70,000 - 89,999\t9000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101126\tF\tMarried\t1955\tD: 70,000 - 89,999\t10000\tHS-grad\t1\t4-5\tCleric.\t5\t0\n101858\tM\tMarried\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t3\tProf.\t5\t0\n102241\tF\tMarried\t1981\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t4-5\tSales\t2\t1\n102708\tF\tMarried\t1967\tL: 300,000 and above\t9000\tBach.\t1\t4-5\tCleric.\t4\t0\n104307\tM\tMarried\t1943\tH: 150,000 - 169,999\t7000\tProfsc\t1\t3\tProf.\t11\t0\n101213\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tProtec.\t5\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n101641\tM\tMarried\t1946\tG: 130,000 - 149,999\t11000\tPhD\t1\t3\tTechSup\t6\t0\n101739\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tSales\t3\t1\n103878\tM\tDivorc.\t1966\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t9+\tProtec.\t5\t0\n101780\tM\tMarried\t1972\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tExec.\t4\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n102453\tF\tDivorc.\t1960\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tCleric.\t4\t0\n103391\tM\tNeverM\t1970\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tSales\t2\t0\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n102644\tM\tNeverM\t1967\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103146\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n103890\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n102866\tF\tSepar.\t1964\tL: 300,000 and above\t15000\tHS-grad\t0\t9+\tMachine\t2\t0\n101647\tM\tMarried\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103704\tF\tNeverM\t1982\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tSales\t2\t1\n103767\tM\tMarried\t1947\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n103446\tM\tMarried\t1959\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t3\tExec.\t4\t0\n102256\tM\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tCleric.\t1\t1\n102180\tF\tMarried\t1940\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t4-5\tSales\t6\t0\n104364\tF\tMarried\t1964\tF: 110,000 - 129,999\t5000\tBach.\t0\t4-5\tProf.\t4\t0\n104253\tM\tMarried\t1973\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tHandler\t5\t0\n103069\tM\tMarried\t1965\tH: 150,000 - 169,999\t11000\t< Bach.\t0\t3\tTechSup\t5\t0\n103168\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n102127\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\t< Bach.\t1\t3\tSales\t10\t0\n103840\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t11th\t0\t1\tOther\t1\t1\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n101679\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tCrafts\t7\t0\n102075\tM\tMarried\t1936\tD: 70,000 - 89,999\t3000\tHS-grad\t1\t3\tExec.\t7\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n101925\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t2\tOther\t2\t1\n103012\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103155\tM\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t2\t1\n103491\tM\tMarried\t1971\tF: 110,000 - 129,999\t1500\tProfsc\t1\t3\tProf.\t3\t0\n102688\tM\tMarried\t1976\tB: 30,000 - 49,999\t1500\tBach.\t0\t3\tTechSup\t2\t1\n102274\tF\tWidowed\t1939\tJ: 190,000 - 249,999\t9000\t11th\t0\t2\t?\t6\t0\n103743\tM\tMarried\t1955\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t7\t0\n103732\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tProfsc\t1\t2\tProf.\t7\t0\n102996\tM\tNeverM\t1986\tC: 50,000 - 69,999\t1500\t10th\t0\t1\tOther\t1\t1\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n102130\tM\tMarried\t1977\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t3\tOther\t3\t1\n101640\tM\tNeverM\t1974\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tExec.\t4\t1\n102373\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tSales\t5\t0\n102932\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tSales\t5\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n104278\tM\tMarried\t1957\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tSales\t7\t0\n103489\tM\tMarried\t1926\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t3\tSales\t2\t0\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100984\tM\tMarried\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t0\n101530\tM\tMarried\t1969\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tProf.\t3\t0\n101255\tF\tDivorc.\t1960\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t9+\tCleric.\t5\t0\n100986\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tCrafts\t5\t0\n103314\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tSales\t4\t0\n102345\tM\tMarried\t1959\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t7\t0\n103143\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCleric.\t4\t0\n102901\tM\tMarried\t1948\tC: 50,000 - 69,999\t1500\t9th\t0\t3\tFarming\t4\t0\n104010\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n101907\tM\tNeverM\t1947\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tExec.\t7\t0\n103315\tM\tMarried\t1949\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tTransp.\t4\t0\n102801\tM\tMarried\t1947\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tExec.\t7\t0\n104171\tM\tMarried\t1975\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t3\tCrafts\t3\t1\n103085\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t2\tExec.\t6\t0\n101584\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101947\tM\tMarried\t1955\tF: 110,000 - 129,999\t5000\t9th\t0\t3\tCrafts\t5\t0\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n102978\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n101285\tM\tMabsent\t1924\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tProf.\t2\t0\n103870\tF\tMarried\t1969\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tOther\t3\t0\n104218\tM\tNeverM\t1982\tE: 90,000 - 109,999\t9000\tAssoc-V\t0\t2\tOther\t2\t1\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n103855\tM\tMarried\t1970\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n104160\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tFarming\t9\t0\n101772\tM\tNeverM\t1980\tI: 170,000 - 189,999\t3000\tAssoc-V\t0\t1\tSales\t2\t1\n103770\tM\tNeverM\t1985\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tHandler\t1\t1\n102289\tM\tMarried\t1942\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n103841\tF\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tMachine\t2\t1\n104123\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tHandler\t3\t1\n103431\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tHandler\t4\t0\n101036\tM\tMarried\t1945\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tTechSup\t6\t0\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n104257\tF\tMar-AF\t1968\tL: 300,000 and above\t11000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n102213\tM\tNeverM\t1975\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n102590\tF\tWidowed\t1962\tA: Below 30,000\t1500\t< Bach.\t0\t2\t?\t2\t0\n101034\tM\tNeverM\t1966\tH: 150,000 - 169,999\t10000\tMasters\t0\t9+\tProf.\t4\t0\n103460\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tOther\t6\t0\n101617\tF\tNeverM\t1981\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t1\t?\t0\t1\n101968\tM\tMarried\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tExec.\t3\t0\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n102742\tF\tMarried\t1950\tG: 130,000 - 149,999\t5000\tBach.\t0\t4-5\tCleric.\t7\t0\n102034\tM\tMarried\t1954\tG: 130,000 - 149,999\t7000\tBach.\t1\t3\tSales\t6\t0\n104139\tM\tNeverM\t1966\tH: 150,000 - 169,999\t3000\tMasters\t0\t9+\tProf.\t4\t0\n102997\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t0\t3\tExec.\t4\t0\n104313\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tProf.\t6\t0\n100968\tM\tDivorc.\t1958\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tProf.\t6\t0\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n103645\tM\tMarried\t1966\tJ: 190,000 - 249,999\t10000\tAssoc-A\t1\t3\tExec.\t4\t0\n102495\tF\tNeverM\t1973\tB: 30,000 - 49,999\t5000\tMasters\t0\t2\tCleric.\t3\t0\n101624\tM\tNeverM\t1966\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t1\tOther\t4\t0\n102351\tM\tMarried\t1964\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t5\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n103585\tF\tMarried\t1947\tE: 90,000 - 109,999\t5000\t10th\t1\t4-5\tSales\t4\t0\n103505\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tCleric.\t6\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n101349\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t9+\tOther\t6\t0\n102324\tM\tMarried\t1960\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t4\t0\n101921\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tBach.\t0\t2\tOther\t1\t1\n101551\tM\tMarried\t1937\tI: 170,000 - 189,999\t9000\tPhD\t1\t3\tProf.\t7\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103783\tF\tMabsent\t1964\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n104437\tF\tDivorc.\t1947\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tOther\t6\t0\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n103676\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n103245\tM\tMarried\t1978\tF: 110,000 - 129,999\t1500\tAssoc-A\t0\t3\tHandler\t3\t1\n103865\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n102902\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t5\t0\n102012\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tBach.\t0\t2\tExec.\t3\t1\n101868\tF\tNeverM\t1960\tC: 50,000 - 69,999\t3000\t9th\t0\t1\tSales\t4\t0\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n103628\tF\tNeverM\t1974\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tCleric.\t3\t1\n103702\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t1500\t12th\t0\t6-8\tTransp.\t6\t0\n101063\tM\tMarried\t1951\tE: 90,000 - 109,999\t10000\tHS-grad\t1\t3\tProf.\t5\t0\n101678\tM\tMarried\t1967\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tMachine\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n101983\tM\tMarried\t1960\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103224\tF\tNeverM\t1962\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t4\t0\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101665\tM\tNeverM\t1985\tH: 150,000 - 169,999\t5000\t11th\t0\t1\tProtec.\t0\t1\n101852\tF\tNeverM\t1972\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n101663\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n103713\tM\tDivorc.\t1967\tL: 300,000 and above\t7000\tAssoc-V\t0\t2\tCrafts\t4\t0\n104295\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\tHS-grad\t1\t3\tSales\t6\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n101766\tF\tNeverM\t1969\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t3\t0\n103823\tF\tSepar.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t9+\tCleric.\t3\t1\n102064\tM\tNeverM\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t2\tHandler\t4\t0\n103414\tF\tDivorc.\t1965\tL: 300,000 and above\t11000\tAssoc-A\t0\t2\tCleric.\t2\t0\n101672\tF\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tSales\t4\t1\n104342\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n103015\tM\tNeverM\t1979\tK: 250,000 - 299,999\t9000\tBach.\t0\t1\t?\t2\t1\n101804\tF\tDivorc.\t1971\tK: 250,000 - 299,999\t15000\tAssoc-A\t0\t2\tMachine\t4\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n101723\tF\tDivorc.\t1950\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t5\t0\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n101114\tM\tMarried\t1967\tC: 50,000 - 69,999\t9000\tBach.\t1\t3\tSales\t4\t0\n101274\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tMachine\t3\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n103358\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t3\t1\n102199\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101413\tF\tNeverM\t1955\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t2\tExec.\t5\t0\n101132\tF\tNeverM\t1968\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t4\t0\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n101705\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t1\tTechSup\t2\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n102486\tM\tMarried\t1956\tL: 300,000 and above\t9000\tProfsc\t1\t3\tProf.\t7\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n103820\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n101225\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tTechSup\t2\t1\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n102961\tM\tMarried\t1965\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103163\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103323\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t1\t3\tTechSup\t6\t0\n103325\tF\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t9+\tTransp.\t5\t0\n102329\tF\tWidowed\t1929\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTransp.\t4\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n101846\tM\tMarried\t1952\tH: 150,000 - 169,999\t3000\tBach.\t1\t3\tCleric.\t5\t0\n103240\tM\tNeverM\t1978\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCrafts\t4\t1\n103223\tM\tMarried\t1948\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n101917\tM\tMarried\t1954\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n101032\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCrafts\t4\t0\n103349\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t7000\tProfsc\t0\t9+\tProf.\t5\t0\n104003\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n103685\tF\tMarried\t1974\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t4-5\tOther\t3\t1\n103698\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t2\tCleric.\t7\t0\n102226\tM\tMarried\t1969\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t3\tFarming\t6\t0\n101847\tF\tSepar.\t1958\tH: 150,000 - 169,999\t7000\t11th\t0\t9+\tCleric.\t3\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n102149\tM\tMabsent\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n103083\tM\tMarried\t1965\tL: 300,000 and above\t7000\tBach.\t1\t3\tExec.\t5\t0\n102631\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tExec.\t3\t0\n101047\tM\tMarried\t1941\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t3\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n101636\tM\tNeverM\t1986\tL: 300,000 and above\t15000\t12th\t0\t1\tOther\t1\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n104405\tM\tDivorc.\t1975\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTechSup\t1\t1\n104008\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n101752\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tProf.\t1\t1\n102478\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t1\t1\n104312\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\t10th\t0\t3\tMachine\t3\t0\n102697\tM\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n101302\tF\tNeverM\t1965\tF: 110,000 - 129,999\t10000\tBach.\t0\t2\tCrafts\t2\t0\n102002\tM\tMarried\t1943\tF: 110,000 - 129,999\t7000\t7th-8th\t0\t3\tMachine\t6\t0\n103953\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t12th\t0\t2\tOther\t4\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n101583\tM\tDivorc.\t1946\tL: 300,000 and above\t11000\t1st-4th\t0\t9+\tCrafts\t6\t0\n101844\tM\tMarried\t1947\tD: 70,000 - 89,999\t1500\t7th-8th\t0\t3\tCrafts\t6\t0\n102513\tM\tNeverM\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t2\tTransp.\t4\t0\n103571\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n101478\tF\tMarried\t1979\tC: 50,000 - 69,999\t3000\t1st-4th\t0\t1\tOther\t1\t1\n102723\tM\tMarried\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t3\tOther\t3\t0\n101613\tM\tNeverM\t1970\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n103845\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tBach.\t0\t9+\tTechSup\t3\t1\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n102218\tM\tNeverM\t1973\tG: 130,000 - 149,999\t1500\tAssoc-V\t0\t6-8\tCleric.\t3\t0\n104403\tF\tMarried\t1979\tC: 50,000 - 69,999\t7000\t1st-4th\t0\t1\tOther\t1\t1\n102178\tF\tNeverM\t1976\tF: 110,000 - 129,999\t7000\t5th-6th\t0\t1\tSales\t1\t1\n102129\tM\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t3\tCrafts\t3\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n103844\tM\tMabsent\t1947\tE: 90,000 - 109,999\t10000\tAssoc-A\t0\t2\tOther\t4\t0\n101481\tF\tNeverM\t1979\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n101304\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t5000\t< Bach.\t0\t9+\tExec.\t5\t0\n102933\tM\tDivorc.\t1965\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t4\t0\n104229\tF\tDivorc.\t1960\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tExec.\t5\t0\n104406\tF\tNeverM\t1979\tF: 110,000 - 129,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n101799\tM\tDivorc.\t1944\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tProf.\t3\t0\n103296\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n102639\tF\tNeverM\t1979\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tHouse-s\t3\t1\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n101756\tF\tNeverM\t1973\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tExec.\t3\t0\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n104022\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n103130\tM\tSepar.\t1959\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tExec.\t6\t0\n103913\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t6\t0\n101248\tF\tDivorc.\t1948\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t6\t0\n102824\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tBach.\t1\t3\tExec.\t4\t0\n101906\tF\tMarried\t1974\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t4-5\tCleric.\t3\t1\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n103294\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tExec.\t5\t0\n103408\tF\tMarried\t1968\tE: 90,000 - 109,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n101383\tF\tNeverM\t1980\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t1\tOther\t2\t1\n101722\tM\tMarried\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n101560\tM\tMarried\t1957\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n104294\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n101205\tM\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tHandler\t6\t0\n102271\tM\tMarried\t1972\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tFarming\t4\t0\n104213\tM\tMarried\t1967\tI: 170,000 - 189,999\t5000\t9th\t0\t3\tTransp.\t5\t0\n103758\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n103434\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tOther\t3\t0\n103547\tF\tNeverM\t1983\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tSales\t2\t1\n104182\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProtec.\t3\t1\n101533\tF\tMabsent\t1955\tG: 130,000 - 149,999\t7000\tBach.\t0\t9+\tCleric.\t5\t0\n103569\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n102684\tF\tMabsent\t1981\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t9+\t?\t2\t1\n101283\tF\tWidowed\t1959\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t9+\tCleric.\t3\t0\n104267\tM\tNeverM\t1969\tL: 300,000 and above\t7000\t< Bach.\t1\t2\tProf.\t4\t0\n103202\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCrafts\t5\t0\n102605\tM\tMarried\t1970\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n101219\tF\tMarried\t1952\tA: Below 30,000\t1500\t< Bach.\t1\t4-5\tExec.\t1\t0\n101078\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t6\t0\n102741\tM\tMarried\t1970\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t2\t0\n103018\tF\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n101469\tF\tMarried\t1957\tI: 170,000 - 189,999\t9000\tBach.\t1\t4-5\tProf.\t5\t0\n103484\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n101652\tM\tMarried\t1961\tD: 70,000 - 89,999\t10000\tBach.\t0\t3\tFarming\t7\t0\n103113\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t15000\t< Bach.\t1\t2\tProf.\t5\t0\n103222\tM\tMarried\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t0\n103868\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tCleric.\t3\t1\n102770\tF\tWidowed\t1967\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t9+\tOther\t2\t0\n101520\tM\tMarried\t1964\tB: 30,000 - 49,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n103885\tM\tNeverM\t1984\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tMachine\t3\t1\n104073\tF\tNeverM\t1980\tL: 300,000 and above\t7000\t< Bach.\t0\t2\tProf.\t3\t1\n103189\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\t11th\t1\t3\tFarming\t6\t0\n103270\tM\tMarried\t1964\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n101108\tF\tMarried\t1967\tL: 300,000 and above\t9000\tAssoc-A\t1\t4-5\tExec.\t5\t0\n103386\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n102409\tF\tNeverM\t1981\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tProf.\t2\t1\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n103578\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n103378\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tCrafts\t3\t1\n102295\tM\tMarried\t1943\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t8\t0\n104256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n103593\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t9+\tCleric.\t5\t0\n103227\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tTechSup\t3\t1\n103750\tF\tDivorc.\t1960\tC: 50,000 - 69,999\t1500\tHS-grad\t1\t9+\tExec.\t4\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n101467\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t8\t0\n104159\tM\tMarried\t1967\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tSales\t5\t0\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n101988\tM\tMarried\t1970\tG: 130,000 - 149,999\t15000\tProfsc\t1\t3\tProf.\t3\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n103984\tF\tNeverM\t1967\tC: 50,000 - 69,999\t1500\tBach.\t0\t2\tCleric.\t5\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n103282\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tAssoc-V\t0\t3\tCrafts\t4\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n102527\tF\tDivorc.\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tOther\t4\t0\n104206\tM\tMarried\t1947\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102222\tM\tMarried\t1956\tI: 170,000 - 189,999\t3000\tBach.\t1\t3\tSales\t7\t0\n103668\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tTechSup\t3\t0\n104329\tM\tMarried\t1965\tK: 250,000 - 299,999\t7000\tBach.\t0\t3\tCrafts\t5\t0\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n101659\tF\tNeverM\t1983\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tSales\t2\t1\n103797\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n102698\tM\tNeverM\t1981\tI: 170,000 - 189,999\t11000\tAssoc-A\t0\t1\tHandler\t2\t1\n101117\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tMachine\t3\t0\n103291\tM\tMarried\t1961\tK: 250,000 - 299,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n102927\tM\tNeverM\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t2\tExec.\t5\t0\n102091\tM\tMarried\t1969\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n102366\tF\tDivorc.\t1975\tL: 300,000 and above\t11000\tBach.\t1\t9+\tOther\t4\t1\n101713\tM\tMabsent\t1952\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t2\t?\t3\t0\n101253\tM\tNeverM\t1978\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tProf.\t3\t1\n102681\tM\tMarried\t1955\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tProf.\t5\t0\n102344\tF\tDivorc.\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t2\tCleric.\t2\t1\n101010\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tExec.\t6\t0\n102683\tM\tSepar.\t1969\tL: 300,000 and above\t7000\tHS-grad\t1\t2\tCleric.\t4\t0\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n101862\tF\tMarried\t1947\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t4-5\tSales\t7\t0\n102249\tM\tMarried\t1963\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tSales\t6\t0\n103365\tM\tMarried\t1944\tH: 150,000 - 169,999\t3000\tHS-grad\t1\t3\tMachine\t6\t0\n104386\tM\tMarried\t1937\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\t?\t8\t0\n102108\tM\tNeverM\t1981\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n101598\tF\tNeverM\t1971\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tCleric.\t4\t0\n100974\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103384\tM\tSepar.\t1982\tI: 170,000 - 189,999\t11000\t10th\t0\t1\tMachine\t2\t1\n103452\tF\tNeverM\t1985\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tTechSup\t0\t1\n101104\tM\tNeverM\t1982\tH: 150,000 - 169,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n101651\tM\tMarried\t1930\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\t?\t2\t0\n103278\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n104387\tM\tNeverM\t1980\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t1\tCleric.\t2\t1\n103815\tF\tNeverM\t1976\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n101290\tM\tNeverM\t1967\tB: 30,000 - 49,999\t3000\tAssoc-V\t1\t2\tCleric.\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n101261\tF\tNeverM\t1980\tL: 300,000 and above\t9000\t10th\t0\t2\tOther\t2\t1\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n101106\tM\tMarried\t1968\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t3\tCrafts\t4\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n104415\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\t7th-8th\t0\t1\tMachine\t2\t1\n103888\tM\tNeverM\t1981\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tSales\t2\t1\n101148\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\t< Bach.\t0\t3\tExec.\t6\t0\n101257\tM\tMarried\t1972\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tProtec.\t3\t0\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n101816\tM\tMarried\t1959\tB: 30,000 - 49,999\t7000\tBach.\t1\t3\tExec.\t4\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n101329\tF\tNeverM\t1985\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101974\tM\tMarried\t1969\tA: Below 30,000\t1500\tHS-grad\t0\t3\tFarming\t7\t0\n103842\tM\tNeverM\t1980\tL: 300,000 and above\t7000\tBach.\t0\t2\tOther\t2\t1\n103614\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n101664\tM\tMarried\t1956\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t9\t0\n101881\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t3\t1\n103055\tM\tMarried\t1970\tL: 300,000 and above\t11000\tAssoc-A\t0\t3\tSales\t5\t0\n103213\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tAssoc-A\t1\t3\tProf.\t4\t0\n101013\tF\tNeverM\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t1\tExec.\t3\t1\n101528\tM\tSepar.\t1951\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t2\tCrafts\t5\t0\n102135\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tMachine\t3\t1\n102107\tM\tMarried\t1942\tJ: 190,000 - 249,999\t9000\t12th\t0\t3\tCrafts\t6\t0\n101294\tM\tDivorc.\t1962\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tHandler\t6\t0\n104488\tM\tMarried\t1953\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\tCleric.\t5\t0\n104149\tM\tMarried\t1966\tL: 300,000 and above\t9000\tMasters\t1\t3\tProf.\t5\t0\n101788\tM\tNeverM\t1985\tC: 50,000 - 69,999\t9000\t10th\t0\t1\tOther\t1\t1\n101181\tM\tMarried\t1972\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tCleric.\t3\t0\n103290\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n101855\tM\tMarried\t1980\tA: Below 30,000\t1500\t< Bach.\t0\t3\tMachine\t2\t1\n102870\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t3\t0\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n103827\tM\tMarried\t1961\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t4\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n104020\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\t?\t1\t1\n102038\tF\tNeverM\t1981\tL: 300,000 and above\t15000\t< Bach.\t0\t1\tCleric.\t2\t1\n102444\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t6\t0\n103946\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t1\tHandler\t2\t1\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n102068\tF\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t4-5\tProf.\t5\t0\n104324\tM\tMabsent\t1960\tJ: 190,000 - 249,999\t15000\tProfsc\t1\t2\tProf.\t4\t0\n101741\tM\tMarried\t1969\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tProf.\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n101182\tM\tMarried\t1971\tC: 50,000 - 69,999\t5000\tAssoc-V\t0\t3\tTransp.\t3\t0\n101432\tM\tMarried\t1976\tF: 110,000 - 129,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n102522\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tHS-grad\t0\t2\t?\t3\t1\n103330\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n102797\tF\tDivorc.\t1941\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t6\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n103611\tM\tMarried\t1974\tL: 300,000 and above\t9000\tMasters\t0\t3\tProf.\t1\t1\n103149\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n103127\tM\tMarried\t1968\tH: 150,000 - 169,999\t5000\tPhD\t1\t3\tProf.\t4\t0\n101878\tM\tMarried\t1961\tG: 130,000 - 149,999\t3000\tPhD\t1\t3\tProf.\t4\t0\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n102189\tM\tMarried\t1959\tG: 130,000 - 149,999\t5000\tProfsc\t1\t3\tProf.\t7\t0\n102535\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t3\t1\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n104456\tM\tNeverM\t1969\tC: 50,000 - 69,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n102959\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tProf.\t6\t0\n101368\tM\tNeverM\t1969\tC: 50,000 - 69,999\t9000\tBach.\t0\t9+\tExec.\t3\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n102845\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tHandler\t6\t0\n103193\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\t?\t3\t1\n101998\tM\tMarried\t1977\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tSales\t3\t1\n101869\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tOther\t1\t1\n104126\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t9+\tOther\t3\t0\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n101957\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tTransp.\t3\t1\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n101021\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tOther\t3\t0\n103958\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n102515\tM\tMarried\t1958\tL: 300,000 and above\t9000\t12th\t0\t3\tMachine\t5\t0\n103455\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t5\t0\n104220\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-V\t0\t2\tOther\t4\t0\n101835\tF\tNeverM\t1978\tF: 110,000 - 129,999\t1500\tProfsc\t0\t2\tProf.\t1\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n101542\tF\tNeverM\t1944\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t6\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n101555\tM\tMarried\t1962\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t3\tCrafts\t4\t0\n104462\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tProf.\t6\t0\n101445\tF\tMarried\t1958\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\tExec.\t8\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n103026\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101306\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n102272\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tCrafts\t2\t1\n102184\tM\tMarried\t1952\tF: 110,000 - 129,999\t3000\tMasters\t1\t3\tSales\t5\t0\n103932\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tTransp.\t2\t1\n102759\tF\tDivorc.\t1967\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tTransp.\t4\t0\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n103128\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n101504\tM\tMarried\t1958\tB: 30,000 - 49,999\t1500\tBach.\t1\t3\tExec.\t5\t0\n103449\tM\tMarried\t1975\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t3\tMachine\t3\t1\n101320\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tExec.\t3\t1\n104248\tF\tNeverM\t1973\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t1\tCleric.\t3\t0\n104048\tM\tNeverM\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t3\t0\n103135\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n102182\tM\tMarried\t1952\tG: 130,000 - 149,999\t10000\t< Bach.\t1\t3\tCleric.\t5\t0\n104319\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n103889\tM\tMarried\t1971\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tProtec.\t4\t0\n102082\tM\tMarried\t1951\tA: Below 30,000\t1500\t10th\t1\t3\tCrafts\t7\t0\n103050\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tSales\t0\t1\n102776\tF\tDivorc.\t1949\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n101709\tM\tNeverM\t1974\tK: 250,000 - 299,999\t9000\tBach.\t0\t9+\tSales\t3\t1\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n102511\tM\tMarried\t1975\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t3\tCrafts\t3\t1\n102984\tF\tSepar.\t1973\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t9+\tOther\t3\t0\n104196\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t9+\tExec.\t4\t0\n104005\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n104181\tF\tDivorc.\t1963\tI: 170,000 - 189,999\t1500\tAssoc-V\t0\t2\tProf.\t2\t0\n103284\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n103766\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t9+\tCleric.\t4\t0\n101301\tM\tMarried\t1949\tA: Below 30,000\t1500\tHS-grad\t0\t3\tSales\t5\t0\n102171\tF\tNeverM\t1978\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t1\n102514\tF\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tMachine\t4\t0\n102315\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tBach.\t0\t1\tSales\t3\t1\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n102168\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tTransp.\t3\t1\n103039\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n103494\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n103345\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tTransp.\t5\t0\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n102503\tM\tNeverM\t1969\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t1\tCleric.\t3\t0\n102071\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t6\t0\n101747\tM\tMarried\t1950\tJ: 190,000 - 249,999\t10000\t< Bach.\t1\t3\tProtec.\t5\t0\n101763\tM\tMarried\t1953\tG: 130,000 - 149,999\t10000\tMasters\t1\t3\tProf.\t5\t0\n103144\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tTechSup\t5\t0\n101748\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tProtec.\t4\t0\n104019\tM\tMarried\t1959\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tTechSup\t2\t0\n102008\tM\tNeverM\t1980\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t2\tProf.\t3\t1\n104136\tM\tMarried\t1968\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tProf.\t4\t0\n104228\tF\tDivorc.\t1977\tE: 90,000 - 109,999\t10000\tAssoc-V\t0\t2\tCleric.\t4\t1\n102823\tM\tMarried\t1965\tF: 110,000 - 129,999\t5000\t< Bach.\t1\t3\tTransp.\t4\t0\n102210\tF\tMarried\t1950\tK: 250,000 - 299,999\t11000\tMasters\t1\t4-5\tCleric.\t5\t0\n102255\tF\tNeverM\t1974\tA: Below 30,000\t1500\tHS-grad\t0\t2\tOther\t3\t1\n101331\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n104276\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t< Bach.\t1\t3\tCrafts\t6\t0\n104087\tM\tMarried\t1938\tG: 130,000 - 149,999\t5000\tBach.\t1\t3\tSales\t10\t0\n101259\tF\tNeverM\t1962\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n103190\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n101548\tF\tNeverM\t1977\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tCleric.\t3\t1\n101576\tF\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tOther\t2\t1\n102857\tF\tSepar.\t1962\tD: 70,000 - 89,999\t3000\tBach.\t0\t9+\tProf.\t4\t0\n103553\tF\tNeverM\t1982\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tCleric.\t1\t1\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n102545\tF\tNeverM\t1982\tL: 300,000 and above\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n101499\tM\tMarried\t1947\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t10\t0\n103796\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n102048\tF\tDivorc.\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n103838\tM\tMarried\t1932\tG: 130,000 - 149,999\t3000\tMasters\t1\t3\tSales\t7\t0\n104150\tM\tMarried\t1964\tB: 30,000 - 49,999\t5000\tAssoc-A\t0\t3\tMachine\t4\t0\n101809\tM\tDivorc.\t1962\tC: 50,000 - 69,999\t1500\t< Bach.\t0\t2\tCrafts\t4\t0\n101407\tM\tDivorc.\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t6-8\tProf.\t3\t0\n101642\tF\tMarried\t1971\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t4-5\tTechSup\t3\t0\n102257\tM\tMarried\t1956\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tSales\t5\t0\n102379\tF\tMabsent\t1958\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t0\n103010\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n101745\tM\tMarried\t1970\tE: 90,000 - 109,999\t3000\t12th\t0\t3\tProtec.\t3\t0\n101637\tM\tMarried\t1971\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tTechSup\t3\t0\n103045\tM\tMarried\t1954\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tCrafts\t6\t0\n102014\tM\tMarried\t1968\tE: 90,000 - 109,999\t10000\t7th-8th\t1\t3\tMachine\t4\t0\n104263\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t2\tCleric.\t3\t0\n101539\tF\tWidowed\t1934\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t2\t?\t2\t0\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103642\tM\tNeverM\t1974\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t2\tFarming\t4\t1\n101673\tF\tMarried\t1956\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t4-5\tOther\t9\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n101686\tM\tMarried\t1956\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t5\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n102492\tM\tMarried\t1966\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tCrafts\t6\t0\n101487\tM\tMarried\t1975\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n104412\tM\tMarried\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t3\t1\n101887\tF\tWidowed\t1935\tK: 250,000 - 299,999\t15000\t7th-8th\t0\t2\t?\t7\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n103684\tM\tMabsent\t1926\tD: 70,000 - 89,999\t5000\t7th-8th\t1\t2\tCleric.\t4\t0\n104165\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n103940\tM\tMarried\t1943\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t3\tProf.\t6\t0\n103462\tF\tNeverM\t1961\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tCleric.\t4\t0\n104484\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103225\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t8\t0\n104446\tM\tNeverM\t1985\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t1\tOther\t2\t1\n101689\tM\tMarried\t1959\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tSales\t6\t0\n101795\tM\tMabsent\t1970\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t2\tCrafts\t3\t0\n101668\tM\tNeverM\t1969\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tHandler\t4\t0\n102203\tM\tMarried\t1942\tF: 110,000 - 129,999\t5000\tMasters\t0\t3\tCrafts\t0\t0\n103650\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tProf.\t3\t1\n101396\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n103543\tM\tMarried\t1935\tJ: 190,000 - 249,999\t9000\tMasters\t1\t3\tProf.\t7\t0\n102325\tM\tMarried\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\tSales\t5\t0\n100994\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t5\t0\n104370\tF\tMarried\t1958\tI: 170,000 - 189,999\t3000\tBach.\t0\t4-5\tExec.\t8\t0\n102906\tM\tMarried\t1965\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t7\t0\n104135\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tCrafts\t8\t0\n101867\tM\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tCrafts\t3\t0\n103546\tM\tNeverM\t1973\tI: 170,000 - 189,999\t3000\tBach.\t0\t1\tProf.\t3\t0\n102342\tF\tDivorc.\t1957\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t7\t0\n101112\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\t10th\t0\t3\tMachine\t5\t0\n102438\tM\tMarried\t1961\tL: 300,000 and above\t7000\tBach.\t1\t3\tProf.\t4\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n103793\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCleric.\t4\t0\n102822\tM\tNeverM\t1984\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCrafts\t2\t1\n103329\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t7000\tBach.\t0\t2\tExec.\t7\t0\n101621\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tProtec.\t5\t0\n102031\tM\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tTransp.\t4\t0\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102725\tM\tMarried\t1974\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tMachine\t3\t1\n104270\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t1\tHandler\t2\t1\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n101658\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t3\t1\n101375\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tSales\t6\t0\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n102164\tF\tNeverM\t1969\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t3\t0\n101595\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tOther\t3\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n101628\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n101262\tF\tNeverM\t1981\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\t?\t2\t1\n101447\tF\tDivorc.\t1956\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tSales\t5\t0\n101398\tM\tNeverM\t1944\tL: 300,000 and above\t11000\tBach.\t0\t2\tCrafts\t7\t0\n103848\tM\tMarried\t1945\tI: 170,000 - 189,999\t11000\t< Bach.\t1\t3\tCleric.\t6\t0\n101381\tF\tNeverM\t1983\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n104041\tM\tMarried\t1956\tL: 300,000 and above\t9000\tBach.\t0\t3\tCrafts\t5\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n103875\tM\tSepar.\t1972\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n102141\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t2\t?\t5\t0\n103022\tF\tMarried\t1966\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101783\tM\tMarried\t1980\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tMachine\t3\t1\n101980\tF\tDivorc.\t1941\tE: 90,000 - 109,999\t10000\t10th\t0\t9+\tProf.\t6\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101268\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tOther\t2\t1\n103453\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n102880\tM\tMarried\t1969\tI: 170,000 - 189,999\t1500\t< Bach.\t1\t3\tMachine\t4\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n103850\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n101123\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tSales\t7\t0\n103011\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100979\tM\tMarried\t1979\tL: 300,000 and above\t9000\t< Bach.\t0\t3\tProtec.\t2\t1\n103109\tM\tNeverM\t1982\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t2\tCleric.\t3\t1\n103833\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n101909\tF\tNeverM\t1959\tC: 50,000 - 69,999\t1500\tMasters\t0\t2\tProf.\t7\t0\n103565\tM\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tProf.\t3\t1\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n103864\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n103396\tF\tMarried\t1963\tL: 300,000 and above\t15000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n102625\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tMachine\t4\t0\n104071\tM\tMarried\t1961\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tCleric.\t4\t0\n101743\tM\tMarried\t1957\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tExec.\t6\t0\n101454\tM\tMarried\t1934\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tExec.\t9\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n104272\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n101731\tM\tMarried\t1948\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t3\tSales\t7\t0\n104240\tF\tNeverM\t1977\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n102553\tM\tMarried\t1953\tI: 170,000 - 189,999\t10000\tAssoc-V\t1\t3\tTechSup\t5\t0\n103712\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tTransp.\t4\t1\n103311\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n104422\tF\tDivorc.\t1969\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t9+\tSales\t4\t0\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n103331\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n103945\tM\tMarried\t1966\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t3\tFarming\t6\t0\n102541\tM\tMarried\t1968\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n103933\tF\tNeverM\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tOther\t2\t1\n102518\tM\tMarried\t1958\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tExec.\t5\t0\n104301\tM\tMarried\t1953\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tTransp.\t6\t0\n102432\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t0\n101351\tM\tMarried\t1929\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n101374\tM\tMarried\t1940\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t3\tProf.\t6\t0\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n103361\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n102309\tM\tMarried\t1961\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tSales\t5\t0\n101209\tF\tSepar.\t1957\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102292\tM\tMabsent\t1973\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t2\tCrafts\t3\t0\n103805\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n102550\tF\tSepar.\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n104099\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t5\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n102726\tF\tNeverM\t1982\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t1\tOther\t2\t1\n103760\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n103297\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n102179\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n104433\tM\tMarried\t1955\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tCleric.\t6\t0\n102302\tF\tWidowed\t1951\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tOther\t5\t0\n103646\tM\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t0\t3\tProf.\t5\t0\n102385\tM\tMarried\t1960\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n101345\tM\tMarried\t1955\tH: 150,000 - 169,999\t1500\tBach.\t1\t3\tCleric.\t6\t0\n103457\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103161\tM\tNeverM\t1977\tH: 150,000 - 169,999\t15000\tHS-grad\t1\t1\tCleric.\t5\t1\n101806\tF\tDivorc.\t1966\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\t?\t4\t0\n101358\tM\tNeverM\t1985\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n101960\tM\tSepar.\t1971\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t3\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103523\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n102524\tM\tNeverM\t1974\tB: 30,000 - 49,999\t3000\t10th\t0\t2\tCrafts\t3\t1\n101060\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tSales\t2\t1\n104231\tM\tMarried\t1962\tC: 50,000 - 69,999\t3000\tBach.\t0\t3\tMachine\t4\t0\n103959\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t9000\t1st-4th\t0\t2\tExec.\t4\t0\n102175\tM\tDivorc.\t1957\tI: 170,000 - 189,999\t11000\tBach.\t0\t2\tMachine\t5\t0\n103915\tM\tMarried\t1971\tJ: 190,000 - 249,999\t7000\tProfsc\t0\t3\tSales\t3\t0\n102397\tM\tMarried\t1965\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tExec.\t4\t0\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n102591\tF\tNeverM\t1982\tL: 300,000 and above\t11000\tHS-grad\t0\t1\t?\t1\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n103897\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n101334\tF\tNeverM\t1976\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t2\tExec.\t3\t1\n103667\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t7000\tBach.\t0\t9+\tProf.\t4\t0\n101908\tM\tNeverM\t1984\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n103153\tF\tNeverM\t1986\tG: 130,000 - 149,999\t3000\t11th\t0\t1\t?\t1\t1\n103640\tF\tWidowed\t1945\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t2\tSales\t6\t0\n101536\tM\tMarried\t1944\tE: 90,000 - 109,999\t7000\t10th\t1\t3\tCrafts\t6\t0\n102898\tM\tMarried\t1962\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t5\t0\n103798\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n101350\tM\tDivorc.\t1973\tA: Below 30,000\t1500\tBach.\t0\t2\tOther\t3\t0\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n103626\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n101601\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tCrafts\t6\t0\n103076\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n103474\tM\tMarried\t1924\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\t?\t8\t0\n101803\tM\tMarried\t1970\tB: 30,000 - 49,999\t1500\t11th\t0\t3\tExec.\t6\t0\n101484\tM\tNeverM\t1972\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t1\tCrafts\t2\t0\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n101039\tM\tMarried\t1934\tA: Below 30,000\t1500\tHS-grad\t1\t3\t?\t10\t0\n101697\tM\tMarried\t1959\tE: 90,000 - 109,999\t1500\tProfsc\t1\t3\tProf.\t7\t0\n102416\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tAssoc-A\t1\t3\tProtec.\t4\t0\n101939\tM\tDivorc.\t1965\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tMachine\t5\t0\n104155\tM\tNeverM\t1986\tL: 300,000 and above\t9000\t10th\t0\t1\tOther\t0\t1\n102195\tM\tMarried\t1962\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n101494\tM\tMarried\t1965\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n101165\tM\tMarried\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n101781\tM\tMarried\t1968\tB: 30,000 - 49,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n101629\tM\tMarried\t1963\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tSales\t6\t0\n103910\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n102750\tM\tMarried\t1971\tB: 30,000 - 49,999\t1500\t7th-8th\t0\t3\tOther\t3\t0\n101703\tF\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tCleric.\t3\t1\n102626\tF\tMarried\t1977\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t4-5\tMachine\t3\t1\n103101\tF\tNeverM\t1973\tG: 130,000 - 149,999\t3000\tBach.\t0\t2\tSales\t4\t0\n101959\tM\tNeverM\t1941\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n103701\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t9000\tMasters\t0\t9+\tProf.\t6\t0\n101807\tF\tMarried\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t4-5\tCleric.\t3\t0\n103380\tF\tMarried\t1959\tJ: 190,000 - 249,999\t15000\tMasters\t1\t4-5\tProf.\t4\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n102018\tM\tDivorc.\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t3\t0\n101094\tF\tDivorc.\t1974\tA: Below 30,000\t1500\t< Bach.\t0\t9+\t?\t1\t1\n101682\tM\tMarried\t1969\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t3\tHandler\t3\t0\n102972\tM\tMarried\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tHandler\t4\t0\n102566\tF\tNeverM\t1976\tJ: 190,000 - 249,999\t7000\tBach.\t0\t1\tTechSup\t3\t1\n101227\tF\tNeverM\t1955\tD: 70,000 - 89,999\t10000\t11th\t0\t2\tOther\t4\t0\n104268\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n104097\tM\tMabsent\t1981\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tSales\t3\t1\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n102775\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tMachine\t3\t1\n103618\tM\tMarried\t1974\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tSales\t4\t1\n103485\tF\tNeverM\t1986\tG: 130,000 - 149,999\t15000\t11th\t0\t1\tCleric.\t0\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n102297\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCrafts\t2\t1\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n103537\tF\tMarried\t1969\tH: 150,000 - 169,999\t3000\t< Bach.\t1\t4-5\t?\t1\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n103178\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\tAssoc-V\t0\t2\tOther\t3\t1\n101894\tM\tMarried\t1961\tA: Below 30,000\t1500\tBach.\t0\t3\tSales\t5\t0\n101762\tF\tNeverM\t1986\tI: 170,000 - 189,999\t5000\t10th\t0\t1\tProtec.\t2\t1\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n104402\tM\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tCrafts\t4\t0\n101405\tM\tNeverM\t1976\tG: 130,000 - 149,999\t10000\tBach.\t0\t1\tTechSup\t3\t1\n103067\tF\tDivorc.\t1946\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t6\t0\n103426\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\t?\t4\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n102232\tM\tMarried\t1955\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tCrafts\t5\t0\n102151\tF\tNeverM\t1935\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t2\tSales\t7\t0\n102482\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\t11th\t0\t3\tCrafts\t5\t0\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n104183\tM\tMarried\t1948\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n104082\tM\tNeverM\t1979\tI: 170,000 - 189,999\t10000\tBach.\t0\t2\tProf.\t1\t1\n103681\tF\tWidowed\t1961\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n103114\tF\tMarried\t1964\tH: 150,000 - 169,999\t1500\tMasters\t0\t4-5\t?\t4\t0\n103916\tM\tMarried\t1939\tH: 150,000 - 169,999\t5000\t1st-4th\t0\t3\tTransp.\t8\t0\n103874\tF\tSepar.\t1957\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t9+\tCrafts\t5\t0\n103234\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101251\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t1st-4th\t0\t3\tTransp.\t8\t0\n101250\tM\tMarried\t1971\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t3\tSales\t3\t0\n103568\tM\tMarried\t1963\tF: 110,000 - 129,999\t10000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n101030\tM\tDivorc.\t1943\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tCrafts\t8\t0\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n103786\tM\tMarried\t1958\tJ: 190,000 - 249,999\t10000\tBach.\t0\t3\tExec.\t6\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n101275\tM\tMarried\t1943\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProf.\t6\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n102582\tM\tNeverM\t1977\tL: 300,000 and above\t11000\t5th-6th\t0\t2\tTransp.\t3\t1\n102670\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tTransp.\t6\t0\n103219\tM\tMarried\t1951\tE: 90,000 - 109,999\t7000\tMasters\t1\t3\tExec.\t7\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n102729\tF\tMarried\t1956\tI: 170,000 - 189,999\t1500\tAssoc-A\t1\t4-5\tCleric.\t5\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n103448\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n103476\tM\tMarried\t1933\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\t?\t7\t0\n102624\tM\tMarried\t1971\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t4\t0\n103693\tM\tNeverM\t1976\tL: 300,000 and above\t15000\tMasters\t0\t2\tProf.\t1\t1\n101639\tF\tDivorc.\t1970\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t2\t?\t3\t0\n102847\tM\tMarried\t1962\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t3\tCrafts\t4\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n104290\tM\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n102105\tM\tMarried\t1941\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t3\t?\t3\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n103071\tM\tMarried\t1958\tH: 150,000 - 169,999\t15000\tBach.\t1\t3\tExec.\t6\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n103533\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102278\tF\tMarried\t1972\tI: 170,000 - 189,999\t1500\tBach.\t0\t4-5\t?\t2\t0\n103316\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t4\t0\n101738\tF\tDivorc.\t1962\tD: 70,000 - 89,999\t5000\t12th\t0\t2\t?\t4\t0\n101951\tM\tNeverM\t1965\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n101805\tM\tMarried\t1967\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tExec.\t4\t0\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n101822\tM\tMarried\t1956\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tExec.\t5\t0\n102245\tF\tDivorc.\t1966\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t9+\tProf.\t4\t0\n101367\tM\tMarried\t1973\tH: 150,000 - 169,999\t7000\tAssoc-V\t1\t3\tProf.\t5\t0\n104401\tF\tNeverM\t1980\tB: 30,000 - 49,999\t7000\t< Bach.\t0\t2\tSales\t2\t1\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n102165\tF\tMarried\t1958\tD: 70,000 - 89,999\t15000\t< Bach.\t1\t4-5\tCleric.\t5\t0\n102567\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n102348\tF\tMarried\t1953\tB: 30,000 - 49,999\t7000\tBach.\t1\t4-5\tExec.\t5\t0\n102354\tF\tNeverM\t1978\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n103134\tM\tMarried\t1971\tE: 90,000 - 109,999\t1500\tAssoc-V\t1\t3\tTransp.\t4\t0\n103179\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100989\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tTransp.\t3\t0\n102451\tM\tWidowed\t1925\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t2\tSales\t10\t0\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n104453\tF\tDivorc.\t1954\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tExec.\t5\t0\n101073\tM\tMarried\t1966\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\tOther\t4\t0\n101167\tM\tMarried\t1968\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t3\tMachine\t4\t0\n102748\tM\tMarried\t1975\tJ: 190,000 - 249,999\t15000\tBach.\t1\t3\tProf.\t4\t1\n104367\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t7\t0\n102114\tF\tDivorc.\t1961\tF: 110,000 - 129,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n104151\tF\tNeverM\t1973\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n101228\tF\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tSales\t2\t1\n102474\tM\tMarried\t1951\tJ: 190,000 - 249,999\t9000\t11th\t0\t3\tOther\t5\t0\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n103549\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n102629\tF\tMarried\t1957\tI: 170,000 - 189,999\t5000\tHS-grad\t1\t1\tSales\t5\t0\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102333\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tTechSup\t5\t0\n101004\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tHandler\t2\t1\n101341\tM\tMarried\t1953\tC: 50,000 - 69,999\t3000\t< Bach.\t1\t3\tSales\t8\t0\n104060\tF\tDivorc.\t1949\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t2\t?\t4\t0\n100972\tM\tMarried\t1948\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tProf.\t6\t0\n102950\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tAssoc-A\t1\t3\tCrafts\t5\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n103763\tM\tMarried\t1954\tE: 90,000 - 109,999\t5000\t< Bach.\t1\t3\tProf.\t5\t0\n103881\tF\tNeverM\t1983\tL: 300,000 and above\t11000\t< Bach.\t0\t1\tOther\t1\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n103107\tM\tNeverM\t1959\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n101444\tM\tMarried\t1958\tD: 70,000 - 89,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n103137\tM\tMarried\t1965\tI: 170,000 - 189,999\t11000\tAssoc-V\t1\t3\tExec.\t5\t0\n103749\tM\tMarried\t1976\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tProf.\t3\t1\n101352\tM\tMarried\t1936\tJ: 190,000 - 249,999\t7000\tBach.\t0\t3\tProf.\t0\t0\n104351\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tProfsc\t1\t3\tProf.\t5\t0\n100978\tM\tMarried\t1964\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t5\t0\n101574\tM\tMarried\t1951\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t3\tSales\t9\t0\n102236\tF\tMarried\t1979\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t4-5\t?\t2\t1\n102533\tM\tMarried\t1972\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tCrafts\t3\t0\n101436\tF\tNeverM\t1978\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t1\tCleric.\t3\t1\n103595\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n102656\tF\tNeverM\t1964\tF: 110,000 - 129,999\t3000\tBach.\t0\t1\tExec.\t4\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n102969\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t11000\tMasters\t1\t2\tExec.\t5\t0\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n102703\tM\tNeverM\t1983\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t1\tCleric.\t2\t1\n103132\tF\tMabsent\t1935\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t9+\tFarming\t5\t0\n103258\tM\tMarried\t1949\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t7\t0\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n103334\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n102407\tM\tMarried\t1963\tJ: 190,000 - 249,999\t9000\t9th\t0\t3\tHandler\t4\t0\n102619\tM\tMarried\t1935\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t10\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n101979\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tExec.\t3\t1\n103779\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tSales\t4\t0\n101348\tM\tMarried\t1960\tL: 300,000 and above\t15000\tBach.\t0\t3\tExec.\t4\t0\n102542\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tTransp.\t4\t0\n103637\tF\tNeverM\t1986\tK: 250,000 - 299,999\t11000\t10th\t0\t1\tCleric.\t1\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n101616\tF\tNeverM\t1980\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t2\t1\n101409\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n101892\tM\tMarried\t1955\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCleric.\t6\t0\n103424\tM\tMarried\t1958\tE: 90,000 - 109,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n102224\tM\tMarried\t1923\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t3\t?\t2\t0\n102124\tM\tMarried\t1971\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tHandler\t4\t0\n102194\tF\tDivorc.\t1931\tB: 30,000 - 49,999\t7000\t11th\t0\t2\tCleric.\t2\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n102677\tF\tDivorc.\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tExec.\t3\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101790\tF\tMarried\t1965\tE: 90,000 - 109,999\t7000\t7th-8th\t1\t4-5\tMachine\t5\t0\n102676\tM\tMarried\t1948\tE: 90,000 - 109,999\t1500\t< Bach.\t1\t3\tTechSup\t7\t0\n102773\tM\tMarried\t1953\tB: 30,000 - 49,999\t5000\tHS-grad\t1\t3\tSales\t8\t0\n102858\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tPresch.\t0\t2\tFarming\t2\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n103206\tF\tMarried\t1961\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t4-5\tExec.\t4\t0\n101518\tM\tNeverM\t1981\tL: 300,000 and above\t15000\t5th-6th\t0\t6-8\tFarming\t2\t1\n100969\tF\tMabsent\t1957\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tHouse-s\t2\t0\n101976\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t2\tCrafts\t4\t0\n103662\tM\tNeverM\t1981\tH: 150,000 - 169,999\t10000\t9th\t0\t9+\tMachine\t2\t1\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n101177\tM\tSepar.\t1957\tL: 300,000 and above\t9000\t5th-6th\t0\t2\tHandler\t6\t0\n101099\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t15000\t9th\t0\t6-8\tSales\t1\t1\n102945\tM\tMarried\t1965\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n103879\tM\tMarried\t1955\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tOther\t5\t0\n102443\tM\tNeverM\t1986\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t6-8\tOther\t2\t1\n101850\tF\tSepar.\t1952\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t9+\tMachine\t5\t0\n102636\tF\tWidowed\t1946\tL: 300,000 and above\t7000\t< Bach.\t0\t9+\tCleric.\t6\t0\n102691\tF\tSepar.\t1971\tL: 300,000 and above\t11000\t9th\t0\t9+\tOther\t3\t0\n102104\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tProf.\t3\t0\n102412\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t11000\t9th\t0\t2\tHouse-s\t3\t0\n101105\tM\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t3\t1\n103808\tM\tMarried\t1980\tE: 90,000 - 109,999\t1500\t5th-6th\t0\t3\tHandler\t2\t1\n102558\tM\tMarried\t1975\tL: 300,000 and above\t15000\t7th-8th\t0\t3\tFarming\t3\t1\n101305\tM\tMarried\t1971\tL: 300,000 and above\t7000\t5th-6th\t0\t3\tCrafts\t5\t0\n103882\tM\tNeverM\t1975\tH: 150,000 - 169,999\t5000\t5th-6th\t0\t2\tCrafts\t3\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n102642\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tTransp.\t3\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n104334\tM\tMarried\t1969\tA: Below 30,000\t1500\t< Bach.\t1\t3\tCrafts\t5\t0\n102073\tM\tNeverM\t1984\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t1\t1\n104105\tM\tMarried\t1936\tG: 130,000 - 149,999\t9000\t7th-8th\t0\t3\tCrafts\t7\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n102293\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\t11th\t0\t2\tOther\t3\t1\n102143\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n103362\tM\tNeverM\t1975\tL: 300,000 and above\t7000\tBach.\t0\t2\tCleric.\t3\t1\n101386\tM\tMarried\t1971\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t3\t0\n103110\tF\tNeverM\t1979\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tTechSup\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n104065\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t9000\tAssoc-V\t0\t2\tCleric.\t2\t1\n104237\tF\tWidowed\t1935\tH: 150,000 - 169,999\t10000\t10th\t0\t9+\tOther\t3\t0\n103819\tM\tMarried\t1968\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tProtec.\t4\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n104066\tM\tMarried\t1956\tE: 90,000 - 109,999\t7000\tBach.\t0\t3\tExec.\t6\t0\n101899\tM\tMarried\t1943\tE: 90,000 - 109,999\t10000\t7th-8th\t0\t3\tSales\t9\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n103745\tF\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t4-5\tProf.\t3\t0\n104090\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tMasters\t1\t3\tProf.\t6\t0\n102634\tM\tMarried\t1971\tA: Below 30,000\t1500\t< Bach.\t1\t3\tMachine\t6\t0\n102442\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tHandler\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n102993\tM\tMarried\t1934\tF: 110,000 - 129,999\t9000\t9th\t0\t3\t?\t3\t0\n102312\tM\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1076845750","id":"20200915-183829_1563117099","dateCreated":"2019-08-01T19:44:43+0000","dateStarted":"2020-09-15T23:32:14+0000","dateFinished":"2020-09-15T23:32:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:103"},{"title":"Drop, then build the k-Means Clustering model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_KMEANS';\n V_setlst('PREP_AUTO') := 'ON';\n V_setlst('KMNS_DISTANCE') := 'KMNS_EUCLIDEAN';\n V_setlst('KMNS_DETAILS') := 'KMNS_DETAILS_ALL';\n V_setlst('KMNS_ITERATIONS') := '3';\n V_setlst('KMNS_NUM_BINS') := '10';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'KM_SH_CLUS_SAMPLE',\n MINING_FUNCTION => 'CLUSTERING',\n DATA_QUERY => 'select * from CUSTOMERS360_V',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:15+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_95684233","id":"20200915-183829_2141847739","dateCreated":"2018-02-06T14:32:12+0000","dateStarted":"2020-09-15T23:32:15+0000","dateFinished":"2020-09-15T23:32:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:104"},{"title":"Display the model signature","text":"%sql \n-- The model signature includes the attributes used in model training data,\n-- and also corresponds to the attributes expected to apply the model to new data. \n\nSELECT ATTRIBUTE_NAME, ATTRIBUTE_TYPE\nFROM USER_MINING_MODEL_ATTRIBUTES\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE'\nORDER BY ATTRIBUTE_NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:18+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"ATTRIBUTE_NAME":"string","ATTRIBUTE_TYPE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"ATTRIBUTE_NAME\tATTRIBUTE_TYPE\nAFFINITY_CARD\tNUMERICAL\nCUST_CREDIT_LIMIT\tNUMERICAL\nCUST_GENDER\tCATEGORICAL\nCUST_INCOME_LEVEL\tCATEGORICAL\nCUST_MARITAL_STATUS\tCATEGORICAL\nCUST_YEAR_OF_BIRTH\tNUMERICAL\nEDUCATION\tCATEGORICAL\nHOUSEHOLD_SIZE\tCATEGORICAL\nOCCUPATION\tCATEGORICAL\nYRS_RESIDENCE\tNUMERICAL\nY_BOX_GAMES\tNUMERICAL\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_446302143","id":"20200915-183829_1168004492","dateCreated":"2018-02-06T14:57:25+0000","dateStarted":"2020-09-15T23:32:18+0000","dateFinished":"2020-09-15T23:32:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:105"},{"title":"Display the model metadata","text":"%sql \n\nSELECT MINING_FUNCTION, ALGORITHM\nFROM USER_MINING_MODELS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE';\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:18+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":119},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MINING_FUNCTION":"string","ALGORITHM":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MINING_FUNCTION\tALGORITHM\nCLUSTERING\tKMEANS\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_408220198","id":"20200915-183829_1848752470","dateCreated":"2018-02-06T14:58:19+0000","dateStarted":"2020-09-15T23:32:18+0000","dateFinished":"2020-09-15T23:32:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:106"},{"title":"Display the actual settings used by the algorithm","text":"%sql\n\nSELECT SETTING_NAME, SETTING_VALUE\nFROM USER_MINING_MODEL_SETTINGS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE'\nORDER BY SETTING_NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:19+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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the k-Means model details","text":"%sql \n\n-- Display the list of available cluster model details as indicated in VIEW_TYPE\n-- Cluster details are presented as separate views depending on the desired information.\n\nSELECT VIEW_NAME, VIEW_TYPE FROM USER_MINING_MODEL_VIEWS\nWHERE MODEL_NAME='KM_SH_CLUS_SAMPLE'\nORDER BY VIEW_NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:19+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"VIEW_NAME":"string","VIEW_TYPE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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Value Handling\nDM$VRKM_SH_CLUS_SAMPLE\tClustering Rules\nDM$VSKM_SH_CLUS_SAMPLE\tComputed Settings\nDM$VWKM_SH_CLUS_SAMPLE\tModel Build Alerts\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_63693733","id":"20200915-183829_1177340643","dateCreated":"2018-02-06T14:59:00+0000","dateStarted":"2020-09-15T23:32:19+0000","dateFinished":"2020-09-15T23:32:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:108"},{"title":"Show Cluster details","text":"%sql\n\n-- For each cluster_id, this DM$VD* view provides the number of records \n-- in the cluster, the parent cluster id, the level in the hierarchy, and dispersion.\n-- Dispersion is a measure of cluster quality, and computationally, \n-- the sum of square errors.\n\nSELECT CLUSTER_ID CLU_ID, RECORD_COUNT REC_CNT, PARENT, \n TREE_LEVEL, ROUND(TO_NUMBER(DISPERSION),3) DISPERSION\nFROM DM$VDKM_SH_CLUS_SAMPLE\nORDER BY CLUSTER_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:19+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLU_ID":"string","REC_CNT":"string","PARENT":"string","TREE_LEVEL":"string","DISPERSION":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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leaf clusters IDs","text":"%sql\n\n-- Show leaf IDs to know for which clusters to show detail\n\nSELECT CLUSTER_ID\nFROM DM$VDKM_SH_CLUS_SAMPLE\nWHERE LEFT_CHILD_ID IS NULL AND RIGHT_CHILD_ID IS NULL\nORDER BY CLUSTER_ID\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:20+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":268.133,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying 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It also includes the variance.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, MEAN, VARIANCE, MODE_VALUE\nFROM DM$VAKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 18\nORDER BY ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:20+0000","config":{"colWidth":8,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":268,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","MEAN":"string","VARIANCE":"string","MODE_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tMEAN\tVARIANCE\tMODE_VALUE\n18\tAFFINITY_CARD\t\t0.0\t0.0\t\n18\tCUST_CREDIT_LIMIT\t\t9802.784222737806\t5061015.48589003\t\n18\tCUST_GENDER\t\t\t\tF\n18\tCUST_INCOME_LEVEL\t\t\t\tJ: 190,000 - 249,999\n18\tCUST_MARITAL_STATUS\t\t\t\tDivorc.\n18\tCUST_YEAR_OF_BIRTH\t\t1965.7447795823666\t29.73936221874493\t\n18\tEDUCATION\t\t\t\tHS-grad\n18\tHOUSEHOLD_SIZE\t\t\t\t9+\n18\tOCCUPATION\t\t\t\tCleric.\n18\tYRS_RESIDENCE\t\t3.491879350348028\t0.9435385528516701\t\n18\tY_BOX_GAMES\t\t0.0\t0.0\t\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1774422330","id":"20200915-183829_504666782","dateCreated":"2019-07-18T18:16:20+0000","dateStarted":"2020-09-15T23:32:21+0000","dateFinished":"2020-09-15T23:32:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:111"},{"title":"Show histogram for attribute YRS_RESIDENCE of cluster 6","text":"%sql\n\n-- Click the bar plot icon and expand settings. Drag BIN_ID to Keys and COUNT to Values.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME,\n BIN_ID, LOWER_BIN_BOUNDARY, UPPER_BIN_BOUNDARY, ATTRIBUTE_VALUE, COUNT \nFROM DM$VHKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 6 AND ATTRIBUTE_NAME = 'YRS_RESIDENCE'\nORDER BY BIN_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:33+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"BIN_ID","index":3,"aggr":"sum"}],"groups":[],"values":[{"name":"COUNT","index":7,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tBIN_ID\tLOWER_BIN_BOUNDARY\tUPPER_BIN_BOUNDARY\tATTRIBUTE_VALUE\tCOUNT\n6\tYRS_RESIDENCE\t\t1\t0.0\t1.5555555555555556\t\t8\n6\tYRS_RESIDENCE\t\t2\t1.5555555555555556\t3.111111111111111\t\t121\n6\tYRS_RESIDENCE\t\t3\t3.111111111111111\t4.666666666666667\t\t271\n6\tYRS_RESIDENCE\t\t4\t4.666666666666667\t6.222222222222222\t\t239\n6\tYRS_RESIDENCE\t\t5\t6.222222222222222\t7.777777777777778\t\t2\n6\tYRS_RESIDENCE\t\t6\t7.777777777777778\t9.333333333333334\t\t0\n6\tYRS_RESIDENCE\t\t7\t9.333333333333334\t10.88888888888889\t\t0\n6\tYRS_RESIDENCE\t\t8\t10.88888888888889\t12.444444444444445\t\t0\n6\tYRS_RESIDENCE\t\t9\t12.444444444444445\t14.0\t\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_66061553","id":"20200915-183829_1045373037","dateCreated":"2019-07-18T18:39:21+0000","dateStarted":"2020-09-15T23:32:21+0000","dateFinished":"2020-09-15T23:32:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:112"},{"title":"Show histogram for attribute YRS_RESIDENCE of cluster 9","text":"%sql\n\n-- Click the bar plot icon and expand settings. Drag BIN_ID to Keys and COUNT to Values.\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME,\n BIN_ID, LOWER_BIN_BOUNDARY, UPPER_BIN_BOUNDARY, ATTRIBUTE_VALUE, COUNT \nFROM DM$VHKM_SH_CLUS_SAMPLE\nWHERE CLUSTER_ID = 9 AND ATTRIBUTE_NAME = 'YRS_RESIDENCE'\nORDER BY BIN_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:33+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","BIN_ID":"string","LOWER_BIN_BOUNDARY":"string","UPPER_BIN_BOUNDARY":"string","ATTRIBUTE_VALUE":"string","COUNT":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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the following example, the view shows attribute level details for the rule associated with each cluster id. \nFor an attribute, support indicates the number of records that fall within the attribute range specified in the rule antecedent where the given attribute is not null. \nConfidence is a number between 0 and 1 that indicates how relevant this attribute is in distinguishing the records in the cluster from all the records in the whole data.\nThe larger the number, the more relevant the attribute.\n \nThe query below reverse-transforms the data to its original values, since the data used for building the model was normalized.","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:22+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"In the following example, the view shows attribute level details for the rule associated with each cluster id.\n
For an attribute, support indicates the number of records that fall within the attribute range specified in the rule antecedent where the given attribute is not null.\n
Confidence is a number between 0 and 1 that indicates how relevant this attribute is in distinguishing the records in the cluster from all the records in the whole data.\n
The larger the number, the more relevant the attribute.
\nThe query below reverse-transforms the data to its original values, since the data used for building the model was normalized.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1980779065","id":"20200915-183829_543873402","dateCreated":"2020-04-29T01:57:04+0000","dateStarted":"2020-09-15T23:32:22+0000","dateFinished":"2020-09-15T23:32:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:115"},{"title":"Display rule details for leaf clusters","text":"%sql\n\nSELECT CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, OPERATOR,\n NUMERIC_VALUE, ATTRIBUTE_VALUE, SUPPORT, ROUND(CONFIDENCE,3) CONFIDENCE\nFROM DM$VRKM_SH_CLUS_SAMPLE \nWHERE cluster_id IN (SELECT cluster_id\n FROM DM$VDKM_SH_CLUS_SAMPLE\n WHERE LEFT_CHILD_ID is NULL and RIGHT_CHILD_ID is NULL)\nORDER BY CLUSTER_ID, ATTRIBUTE_NAME, ATTRIBUTE_SUBNAME, OPERATOR, NUMERIC_VALUE, ATTRIBUTE_VALUE;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:23+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CLUSTER_ID":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","OPERATOR":"string","NUMERIC_VALUE":"string","ATTRIBUTE_VALUE":"string","SUPPORT":"string","CONFIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUSTER_ID\tATTRIBUTE_NAME\tATTRIBUTE_SUBNAME\tOPERATOR\tNUMERIC_VALUE\tATTRIBUTE_VALUE\tSUPPORT\tCONFIDENCE\n6\tAFFINITY_CARD\t\t<=\t1.0\t\t641\t0.177\n6\tAFFINITY_CARD\t\t>\t0.8888888888888888\t\t641\t0.177\n6\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t641\t0.002\n6\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t641\t0.002\n6\tCUST_GENDER\t\t=\t\tM\t517\t0.019\n6\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t610\t0.003\n6\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t610\t0.003\n6\tCUST_MARITAL_STATUS\t\t=\t\tMarried\t576\t0.065\n6\tCUST_YEAR_OF_BIRTH\t\t<=\t1977.888888888889\t\t627\t0.047\n6\tCUST_YEAR_OF_BIRTH\t\t>\t1945.4444444444443\t\t627\t0.047\n6\tEDUCATION\t\tIN\t\t< Bach.\t604\t0.014\n6\tEDUCATION\t\tIN\t\tAssoc-A\t604\t0.014\n6\tEDUCATION\t\tIN\t\tAssoc-V\t604\t0.014\n6\tEDUCATION\t\tIN\t\tBach.\t604\t0.014\n6\tEDUCATION\t\tIN\t\tHS-grad\t604\t0.014\n6\tEDUCATION\t\tIN\t\tMasters\t604\t0.014\n6\tEDUCATION\t\tIN\t\tProfsc\t604\t0.014\n6\tHOUSEHOLD_SIZE\t\tIN\t\t3\t573\t0.075\n6\tHOUSEHOLD_SIZE\t\tIN\t\t4-5\t573\t0.075\n6\tOCCUPATION\t\tIN\t\tCleric.\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tCrafts\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tExec.\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tMachine\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tProf.\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tSales\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tTechSup\t589\t0.019\n6\tOCCUPATION\t\tIN\t\tTransp.\t589\t0.019\n6\tYRS_RESIDENCE\t\t<=\t6.222222222222222\t\t631\t0.034\n6\tYRS_RESIDENCE\t\t>\t1.5555555555555556\t\t631\t0.034\n6\tY_BOX_GAMES\t\t<=\t1.0\t\t641\t0.025\n6\tY_BOX_GAMES\t\t>=\t0.0\t\t641\t0.025\n7\tAFFINITY_CARD\t\t<=\t1.0\t\t401\t0.177\n7\tAFFINITY_CARD\t\t>\t0.8888888888888888\t\t401\t0.177\n7\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t401\t0.001\n7\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t401\t0.001\n7\tCUST_GENDER\t\t=\t\tM\t378\t0.096\n7\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t373\t0.002\n7\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t373\t0.002\n7\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t371\t0.06\n7\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t371\t0.06\n7\tCUST_YEAR_OF_BIRTH\t\t<=\t1961.6666666666667\t\t377\t0.108\n7\tCUST_YEAR_OF_BIRTH\t\t>\t1929.2222222222222\t\t377\t0.108\n7\tEDUCATION\t\tIN\t\t< Bach.\t378\t0.019\n7\tEDUCATION\t\tIN\t\tAssoc-V\t378\t0.019\n7\tEDUCATION\t\tIN\t\tBach.\t378\t0.019\n7\tEDUCATION\t\tIN\t\tHS-grad\t378\t0.019\n7\tEDUCATION\t\tIN\t\tMasters\t378\t0.019\n7\tEDUCATION\t\tIN\t\tPhD\t378\t0.019\n7\tEDUCATION\t\tIN\t\tProfsc\t378\t0.019\n7\tHOUSEHOLD_SIZE\t\tIN\t\t2\t380\t0.069\n7\tHOUSEHOLD_SIZE\t\tIN\t\t3\t380\t0.069\n7\tOCCUPATION\t\tIN\t\t?\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tCleric.\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tCrafts\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tExec.\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tProf.\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tSales\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tTechSup\t373\t0.029\n7\tOCCUPATION\t\tIN\t\tTransp.\t373\t0.029\n7\tYRS_RESIDENCE\t\t<=\t9.333333333333334\t\t375\t0.137\n7\tYRS_RESIDENCE\t\t>\t4.666666666666667\t\t375\t0.137\n7\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t401\t0.056\n7\tY_BOX_GAMES\t\t>=\t0.0\t\t401\t0.056\n8\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t489\t0.028\n8\tAFFINITY_CARD\t\t>=\t0.0\t\t489\t0.028\n8\tCUST_CREDIT_LIMIT\t\t<=\t10500.0\t\t499\t0.083\n8\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t499\t0.083\n8\tCUST_GENDER\t\tIN\t\tF\t499\t0.001\n8\tCUST_GENDER\t\tIN\t\tM\t499\t0.001\n8\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t447\t0.035\n8\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t447\t0.035\n8\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t458\t0.033\n8\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t458\t0.033\n8\tCUST_YEAR_OF_BIRTH\t\t<=\t1986.0\t\t499\t0.125\n8\tCUST_YEAR_OF_BIRTH\t\t>\t1969.7777777777778\t\t499\t0.125\n8\tEDUCATION\t\tIN\t\t10th\t441\t0.013\n8\tEDUCATION\t\tIN\t\t11th\t441\t0.013\n8\tEDUCATION\t\tIN\t\t< Bach.\t441\t0.013\n8\tEDUCATION\t\tIN\t\tBach.\t441\t0.013\n8\tEDUCATION\t\tIN\t\tHS-grad\t441\t0.013\n8\tHOUSEHOLD_SIZE\t\tIN\t\t1\t415\t0.025\n8\tHOUSEHOLD_SIZE\t\tIN\t\t2\t415\t0.025\n8\tHOUSEHOLD_SIZE\t\tIN\t\t3\t415\t0.025\n8\tOCCUPATION\t\tIN\t\t?\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tCleric.\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tCrafts\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tExec.\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tHandler\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tMachine\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tOther\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tProf.\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tSales\t461\t0.007\n8\tOCCUPATION\t\tIN\t\tTechSup\t461\t0.007\n8\tYRS_RESIDENCE\t\t<=\t4.666666666666667\t\t496\t0.086\n8\tYRS_RESIDENCE\t\t>=\t0.0\t\t496\t0.086\n8\tY_BOX_GAMES\t\t<=\t1.0\t\t499\t0.152\n8\tY_BOX_GAMES\t\t>\t0.8888888888888888\t\t499\t0.152\n9\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t849\t0.03\n9\tAFFINITY_CARD\t\t>=\t0.0\t\t849\t0.03\n9\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t862\t0.06\n9\tCUST_CREDIT_LIMIT\t\t>\t6000.0\t\t862\t0.06\n9\tCUST_GENDER\t\tIN\t\tF\t862\t0.01\n9\tCUST_GENDER\t\tIN\t\tM\t862\t0.01\n9\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t753\t0.027\n9\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t753\t0.027\n9\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t753\t0.027\n9\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t753\t0.027\n9\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t753\t0.027\n9\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t805\t0.069\n9\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t805\t0.069\n9\tCUST_YEAR_OF_BIRTH\t\t<=\t1986.0\t\t862\t0.129\n9\tCUST_YEAR_OF_BIRTH\t\t>\t1969.7777777777778\t\t862\t0.129\n9\tEDUCATION\t\tIN\t\t10th\t793\t0.005\n9\tEDUCATION\t\tIN\t\t11th\t793\t0.005\n9\tEDUCATION\t\tIN\t\t< Bach.\t793\t0.005\n9\tEDUCATION\t\tIN\t\tAssoc-A\t793\t0.005\n9\tEDUCATION\t\tIN\t\tAssoc-V\t793\t0.005\n9\tEDUCATION\t\tIN\t\tBach.\t793\t0.005\n9\tEDUCATION\t\tIN\t\tHS-grad\t793\t0.005\n9\tHOUSEHOLD_SIZE\t\tIN\t\t1\t657\t0.06\n9\tHOUSEHOLD_SIZE\t\tIN\t\t2\t657\t0.06\n9\tOCCUPATION\t\tIN\t\t?\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tCleric.\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tCrafts\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tExec.\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tHandler\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tMachine\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tOther\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tProf.\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tSales\t802\t0.01\n9\tOCCUPATION\t\tIN\t\tTechSup\t802\t0.01\n9\tYRS_RESIDENCE\t\t<=\t3.111111111111111\t\t815\t0.086\n9\tYRS_RESIDENCE\t\t>=\t0.0\t\t815\t0.086\n9\tY_BOX_GAMES\t\t<=\t1.0\t\t862\t0.152\n9\tY_BOX_GAMES\t\t>\t0.8888888888888888\t\t862\t0.152\n11\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t124\t0.026\n11\tAFFINITY_CARD\t\t>=\t0.0\t\t124\t0.026\n11\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t127\t0.004\n11\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t127\t0.004\n11\tCUST_GENDER\t\tIN\t\tF\t127\t0.013\n11\tCUST_GENDER\t\tIN\t\tM\t127\t0.013\n11\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t121\t0.007\n11\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t121\t0.007\n11\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t111\t0.077\n11\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t111\t0.077\n11\tCUST_MARITAL_STATUS\t\tIN\t\tWidowed\t111\t0.077\n11\tCUST_YEAR_OF_BIRTH\t\t<=\t1945.4444444444443\t\t123\t0.233\n11\tCUST_YEAR_OF_BIRTH\t\t>\t1921.111111111111\t\t123\t0.233\n11\tEDUCATION\t\tIN\t\t10th\t121\t0.017\n11\tEDUCATION\t\tIN\t\t11th\t121\t0.017\n11\tEDUCATION\t\tIN\t\t7th-8th\t121\t0.017\n11\tEDUCATION\t\tIN\t\t9th\t121\t0.017\n11\tEDUCATION\t\tIN\t\t< Bach.\t121\t0.017\n11\tEDUCATION\t\tIN\t\tAssoc-V\t121\t0.017\n11\tEDUCATION\t\tIN\t\tBach.\t121\t0.017\n11\tEDUCATION\t\tIN\t\tHS-grad\t121\t0.017\n11\tEDUCATION\t\tIN\t\tMasters\t121\t0.017\n11\tHOUSEHOLD_SIZE\t\tIN\t\t2\t117\t0.035\n11\tHOUSEHOLD_SIZE\t\tIN\t\t3\t117\t0.035\n11\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t117\t0.035\n11\tOCCUPATION\t\tIN\t\t?\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tCleric.\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tCrafts\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tExec.\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tFarming\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tHouse-s\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tOther\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tProf.\t114\t0.028\n11\tOCCUPATION\t\tIN\t\tSales\t114\t0.028\n11\tYRS_RESIDENCE\t\t<=\t6.222222222222222\t\t122\t0.012\n11\tYRS_RESIDENCE\t\t>=\t0.0\t\t122\t0.012\n11\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t127\t0.056\n11\tY_BOX_GAMES\t\t>=\t0.0\t\t127\t0.056\n13\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t253\t0.03\n13\tAFFINITY_CARD\t\t>=\t0.0\t\t253\t0.03\n13\tCUST_CREDIT_LIMIT\t\t<=\t10500.0\t\t254\t0.08\n13\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t254\t0.08\n13\tCUST_GENDER\t\tIN\t\tF\t257\t0\n13\tCUST_GENDER\t\tIN\t\tM\t257\t0\n13\tCUST_INCOME_LEVEL\t\tIN\t\tA: Below 30,000\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t240\t0.049\n13\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t240\t0.049\n13\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t239\t0.022\n13\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t239\t0.022\n13\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t239\t0.022\n13\tCUST_MARITAL_STATUS\t\tIN\t\tWidowed\t239\t0.022\n13\tCUST_YEAR_OF_BIRTH\t\t<=\t1961.6666666666667\t\t239\t0.13\n13\tCUST_YEAR_OF_BIRTH\t\t>\t1929.2222222222222\t\t239\t0.13\n13\tEDUCATION\t\tIN\t\t10th\t232\t0.008\n13\tEDUCATION\t\tIN\t\t7th-8th\t232\t0.008\n13\tEDUCATION\t\tIN\t\t< Bach.\t232\t0.008\n13\tEDUCATION\t\tIN\t\tAssoc-A\t232\t0.008\n13\tEDUCATION\t\tIN\t\tAssoc-V\t232\t0.008\n13\tEDUCATION\t\tIN\t\tBach.\t232\t0.008\n13\tEDUCATION\t\tIN\t\tHS-grad\t232\t0.008\n13\tEDUCATION\t\tIN\t\tMasters\t232\t0.008\n13\tHOUSEHOLD_SIZE\t\tIN\t\t2\t238\t0.027\n13\tHOUSEHOLD_SIZE\t\tIN\t\t3\t238\t0.027\n13\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t238\t0.027\n13\tOCCUPATION\t\tIN\t\t?\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tCleric.\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tCrafts\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tExec.\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tFarming\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tMachine\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tOther\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tProf.\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tSales\t239\t0.008\n13\tOCCUPATION\t\tIN\t\tTransp.\t239\t0.008\n13\tYRS_RESIDENCE\t\t<=\t9.333333333333334\t\t235\t0.129\n13\tYRS_RESIDENCE\t\t>\t4.666666666666667\t\t235\t0.129\n13\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t257\t0.056\n13\tY_BOX_GAMES\t\t>=\t0.0\t\t257\t0.056\n15\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t391\t0.041\n15\tAFFINITY_CARD\t\t>=\t0.0\t\t391\t0.041\n15\tCUST_CREDIT_LIMIT\t\t<=\t6000.0\t\t377\t0.135\n15\tCUST_CREDIT_LIMIT\t\t>=\t1500.0\t\t377\t0.135\n15\tCUST_GENDER\t\tIN\t\tF\t391\t0.014\n15\tCUST_GENDER\t\tIN\t\tM\t391\t0.014\n15\tCUST_INCOME_LEVEL\t\tIN\t\tB: 30,000 - 49,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tC: 50,000 - 69,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tD: 70,000 - 89,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t375\t0.078\n15\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t375\t0.078\n15\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t356\t0.013\n15\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t356\t0.013\n15\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t356\t0.013\n15\tCUST_YEAR_OF_BIRTH\t\t<=\t1977.888888888889\t\t372\t0.058\n15\tCUST_YEAR_OF_BIRTH\t\t>\t1953.5555555555557\t\t372\t0.058\n15\tEDUCATION\t\tIN\t\t< Bach.\t361\t0.006\n15\tEDUCATION\t\tIN\t\tAssoc-A\t361\t0.006\n15\tEDUCATION\t\tIN\t\tAssoc-V\t361\t0.006\n15\tEDUCATION\t\tIN\t\tBach.\t361\t0.006\n15\tEDUCATION\t\tIN\t\tHS-grad\t361\t0.006\n15\tEDUCATION\t\tIN\t\tMasters\t361\t0.006\n15\tHOUSEHOLD_SIZE\t\tIN\t\t2\t333\t0.017\n15\tHOUSEHOLD_SIZE\t\tIN\t\t3\t333\t0.017\n15\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t333\t0.017\n15\tOCCUPATION\t\tIN\t\t?\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tCleric.\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tCrafts\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tExec.\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tFarming\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tHandler\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tMachine\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tOther\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tProf.\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tSales\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tTechSup\t383\t0.003\n15\tOCCUPATION\t\tIN\t\tTransp.\t383\t0.003\n15\tYRS_RESIDENCE\t\t<=\t6.222222222222222\t\t390\t0.032\n15\tYRS_RESIDENCE\t\t>\t1.5555555555555556\t\t390\t0.032\n15\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t391\t0.056\n15\tY_BOX_GAMES\t\t>=\t0.0\t\t391\t0.056\n17\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t533\t0.041\n17\tAFFINITY_CARD\t\t>=\t0.0\t\t533\t0.041\n17\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t532\t0.037\n17\tCUST_CREDIT_LIMIT\t\t>\t4500.0\t\t532\t0.037\n17\tCUST_GENDER\t\t=\t\tM\t533\t0.192\n17\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t501\t0.009\n17\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t501\t0.009\n17\tCUST_MARITAL_STATUS\t\t=\t\tMarried\t533\t0.125\n17\tCUST_YEAR_OF_BIRTH\t\t<=\t1977.888888888889\t\t528\t0.039\n17\tCUST_YEAR_OF_BIRTH\t\t>\t1937.3333333333333\t\t528\t0.039\n17\tEDUCATION\t\tIN\t\t11th\t467\t0.004\n17\tEDUCATION\t\tIN\t\t7th-8th\t467\t0.004\n17\tEDUCATION\t\tIN\t\t9th\t467\t0.004\n17\tEDUCATION\t\tIN\t\t< Bach.\t467\t0.004\n17\tEDUCATION\t\tIN\t\tAssoc-A\t467\t0.004\n17\tEDUCATION\t\tIN\t\tAssoc-V\t467\t0.004\n17\tEDUCATION\t\tIN\t\tBach.\t467\t0.004\n17\tEDUCATION\t\tIN\t\tHS-grad\t467\t0.004\n17\tHOUSEHOLD_SIZE\t\t=\t\t3\t527\t0.145\n17\tOCCUPATION\t\tIN\t\tCleric.\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tCrafts\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tExec.\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tFarming\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tHandler\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tMachine\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tOther\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tProf.\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tSales\t499\t0.012\n17\tOCCUPATION\t\tIN\t\tTransp.\t499\t0.012\n17\tYRS_RESIDENCE\t\t<=\t7.777777777777778\t\t516\t0.026\n17\tYRS_RESIDENCE\t\t>\t1.5555555555555556\t\t516\t0.026\n17\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t529\t0.049\n17\tY_BOX_GAMES\t\t>=\t0.0\t\t529\t0.049\n18\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t431\t0.041\n18\tAFFINITY_CARD\t\t>=\t0.0\t\t431\t0.041\n18\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t431\t0.057\n18\tCUST_CREDIT_LIMIT\t\t>\t6000.0\t\t431\t0.057\n18\tCUST_GENDER\t\t=\t\tF\t331\t0.141\n18\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t413\t0.013\n18\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t413\t0.013\n18\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t387\t0.053\n18\tCUST_MARITAL_STATUS\t\tIN\t\tMarried\t387\t0.053\n18\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t387\t0.053\n18\tCUST_MARITAL_STATUS\t\tIN\t\tSepar.\t387\t0.053\n18\tCUST_YEAR_OF_BIRTH\t\t<=\t1977.888888888889\t\t423\t0.069\n18\tCUST_YEAR_OF_BIRTH\t\t>\t1953.5555555555557\t\t423\t0.069\n18\tEDUCATION\t\tIN\t\t< Bach.\t371\t0.004\n18\tEDUCATION\t\tIN\t\tAssoc-A\t371\t0.004\n18\tEDUCATION\t\tIN\t\tAssoc-V\t371\t0.004\n18\tEDUCATION\t\tIN\t\tBach.\t371\t0.004\n18\tEDUCATION\t\tIN\t\tHS-grad\t371\t0.004\n18\tHOUSEHOLD_SIZE\t\tIN\t\t1\t422\t0.11\n18\tHOUSEHOLD_SIZE\t\tIN\t\t2\t422\t0.11\n18\tHOUSEHOLD_SIZE\t\tIN\t\t4-5\t422\t0.11\n18\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t422\t0.11\n18\tOCCUPATION\t\tIN\t\tCleric.\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tCrafts\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tExec.\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tMachine\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tOther\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tProf.\t364\t0.007\n18\tOCCUPATION\t\tIN\t\tSales\t364\t0.007\n18\tYRS_RESIDENCE\t\t<=\t6.222222222222222\t\t421\t0.031\n18\tYRS_RESIDENCE\t\t>\t1.5555555555555556\t\t421\t0.031\n18\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t431\t0.056\n18\tY_BOX_GAMES\t\t>=\t0.0\t\t431\t0.056\n19\tAFFINITY_CARD\t\t<=\t0.1111111111111111\t\t358\t0.041\n19\tAFFINITY_CARD\t\t>=\t0.0\t\t358\t0.041\n19\tCUST_CREDIT_LIMIT\t\t<=\t15000.0\t\t358\t0.057\n19\tCUST_CREDIT_LIMIT\t\t>\t6000.0\t\t358\t0.057\n19\tCUST_GENDER\t\tIN\t\tF\t358\t0.002\n19\tCUST_GENDER\t\tIN\t\tM\t358\t0.002\n19\tCUST_INCOME_LEVEL\t\tIN\t\tE: 90,000 - 109,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tF: 110,000 - 129,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tG: 130,000 - 149,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tH: 150,000 - 169,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tI: 170,000 - 189,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tJ: 190,000 - 249,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tK: 250,000 - 299,999\t347\t0.017\n19\tCUST_INCOME_LEVEL\t\tIN\t\tL: 300,000 and above\t347\t0.017\n19\tCUST_MARITAL_STATUS\t\tIN\t\tDivorc.\t339\t0.103\n19\tCUST_MARITAL_STATUS\t\tIN\t\tNeverM\t339\t0.103\n19\tCUST_MARITAL_STATUS\t\tIN\t\tSepar.\t339\t0.103\n19\tCUST_MARITAL_STATUS\t\tIN\t\tWidowed\t339\t0.103\n19\tCUST_YEAR_OF_BIRTH\t\t<=\t1969.7777777777778\t\t345\t0.067\n19\tCUST_YEAR_OF_BIRTH\t\t>\t1937.3333333333333\t\t345\t0.067\n19\tEDUCATION\t\tIN\t\t< Bach.\t319\t0.006\n19\tEDUCATION\t\tIN\t\tAssoc-A\t319\t0.006\n19\tEDUCATION\t\tIN\t\tAssoc-V\t319\t0.006\n19\tEDUCATION\t\tIN\t\tBach.\t319\t0.006\n19\tEDUCATION\t\tIN\t\tHS-grad\t319\t0.006\n19\tEDUCATION\t\tIN\t\tMasters\t319\t0.006\n19\tHOUSEHOLD_SIZE\t\tIN\t\t2\t319\t0.127\n19\tHOUSEHOLD_SIZE\t\tIN\t\t9+\t319\t0.127\n19\tOCCUPATION\t\tIN\t\tCleric.\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tCrafts\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tExec.\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tHandler\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tMachine\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tOther\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tProf.\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tSales\t324\t0.003\n19\tOCCUPATION\t\tIN\t\tTransp.\t324\t0.003\n19\tYRS_RESIDENCE\t\t<=\t9.333333333333334\t\t358\t0.087\n19\tYRS_RESIDENCE\t\t>\t3.111111111111111\t\t358\t0.087\n19\tY_BOX_GAMES\t\t<=\t0.1111111111111111\t\t358\t0.056\n19\tY_BOX_GAMES\t\t>=\t0.0\t\t358\t0.056\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1818948298","id":"20200915-183829_1742854482","dateCreated":"2019-07-18T19:01:50+0000","dateStarted":"2020-09-15T23:32:23+0000","dateFinished":"2020-09-15T23:32:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:116"},{"title":"Apply model to CUSTOMERS360_V and display customer count per cluster","text":"%sql\n\n-- For a descriptive machine learning technique like Clustering, \"scoring\" involves assigning each record to a cluster, with a certain probability. \n-- However, one can also obtain the probability of a record belonging to each cluster.\n-- Hover over bars in the bar chart to view the size of each cluster. \n\nSELECT CLUSTER_ID(KM_SH_CLUS_SAMPLE USING *) AS CLUS, COUNT(*) AS CNT \nFROM CUSTOMERS360_V\nGROUP BY CLUSTER_ID(KM_SH_CLUS_SAMPLE USING *)\nORDER BY CNT DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:34+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CLUS","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"CNT","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CLUS\tCNT\n9\t862\n6\t641\n17\t533\n8\t499\n18\t431\n7\t401\n15\t391\n19\t358\n13\t257\n11\t127\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_250620014","id":"20200915-183829_1321596823","dateCreated":"2019-07-18T19:03:42+0000","dateStarted":"2020-09-15T23:32:24+0000","dateFinished":"2020-09-15T23:32:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:117"},{"title":"List top ten customers most likely in cluster 6","text":"%sql\n\nSELECT CUST_ID, \n ROUND(CLUSTER_PROBABILITY(KM_SH_CLUS_SAMPLE, 6 USING *),3) PROB\nFROM CUSTOMERS360_V\nWHERE rownum < 10\nORDER BY PROB DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:24+0000","config":{"colWidth":5,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":207.969,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PROB":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPROB\n100696\t0.235\n103948\t0.077\n103791\t0.072\n100134\t0.07\n102828\t0.07\n100804\t0.062\n102308\t0.058\n101232\t0.057\n101610\t0.053\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1716942994","id":"20200915-183829_1464494083","dateCreated":"2019-08-07T21:37:33+0000","dateStarted":"2020-09-15T23:32:24+0000","dateFinished":"2020-09-15T23:32:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:118"},{"title":"List four most relevant attributes for specific customers and likely cluster assignments","text":"%sql\n\n-- For customer id, pick among 101362, 102087 or 100456. These represent customers \n-- with > 20% likelihood of assignment to their cluster.\n-- HINT: Pick the cust_id to see the most likely cluster_id assignment and the \n-- prediction_details for the top 5 attributes that help to assign that customer to that cluster.\n\nSELECT CUST_ID,\n CLUSTER_ID,\n ROUND(PROB*100,2) PROB_PCT,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\nFROM (SELECT CUST_ID, S.CLUSTER_ID, PROBABILITY PROB, \n CLUSTER_DETAILS(KM_SH_CLUS_SAMPLE USING T.*) DETAIL\n FROM (SELECT V.*, CLUSTER_SET(KM_SH_CLUS_SAMPLE, NULL, 0.2 USING *) PSET\n FROM CUSTOMERS360_V V\n WHERE cust_id = ${CUST_ID ='101362','101362'|'102087'| '100456'}) T,\n TABLE(T.PSET) S\n ORDER BY 2 DESC) OUT,\n XMLTABLE('/Details'\n PASSING OUT.DETAIL\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') OUTPRED;\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:24+0000","config":{"colWidth":7,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":138.056,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CLUSTER_ID":"string","PROB_PCT":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"runOnSelectionChange":true,"fontSize":9},"settings":{"params":{"s.cluster_id":"'5'","cust_id":"'100456'","cluster_id":"'5'","CUST_ID":"'101362'"},"forms":{"CUST_ID":{"type":"Select","options":[{"value":"'101362'","$$hashKey":"object:19492"},{"value":"'102087'","$$hashKey":"object:19493"},{"value":"'100456'","$$hashKey":"object:19494"}],"name":"CUST_ID","defaultValue":"'101362'","hidden":false,"$$hashKey":"object:19483"}}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCLUSTER_ID\tPROB_PCT\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n101362\t9\t22.22\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".077\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1978\" weight=\".041\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"11000\" weight=\".024\" \t\"YRS_RESIDENCE\" actualValue=\"3\" weight=\".017\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_568681170","id":"20200915-183829_563989145","dateCreated":"2019-07-18T19:06:42+0000","dateStarted":"2020-09-15T23:32:24+0000","dateFinished":"2020-09-15T23:32:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:119"},{"title":"List 5 rows that are anomalous compared to their Clusters","text":"%sql\n\n-- List top 5 rows that are most unusual as measured by their distance from the cluster centroids. \n-- A row that is far from all cluster centroids may be anomalous.\n\nSELECT *\nFROM (SELECT CUST_ID, RANK() OVER (ORDER BY CLUSTER_DISTANCE(KM_SH_CLUS_SAMPLE USING *) DESC) RANK_ANOMALOUS,\n round(CLUSTER_DISTANCE(KM_SH_CLUS_SAMPLE USING *),3) DISTANCE_TO_CENTROID\n FROM CUSTOMERS360_V)\nWHERE RANK_ANOMALOUS <= 5\nORDER BY RANK_ANOMALOUS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:25+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":204.006,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","RANK_ANOMALOUS":"string","DISTANCE_TO_CENTROID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tRANK_ANOMALOUS\tDISTANCE_TO_CENTROID\n102555\t1\t5.064\n103165\t2\t4.636\n100210\t3\t4.43\n102011\t4\t4.386\n103921\t5\t4.216\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1883351181","id":"20200915-183829_1214229681","dateCreated":"2019-07-31T18:24:02+0000","dateStarted":"2020-09-15T23:32:25+0000","dateFinished":"2020-09-15T23:32:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:120"},{"text":"%md\n## Alternative approach for building clustering model using an analytic function\nIn addition to creating a persistent model that is stored as a schema object, models can be built and scored on data dynamically using Oracle's analytic function syntax.\n\nIn the following example, we segment customers into 4 groups based on common characteristics and provide the segment assignments. Note that this query does not reference a pre-build clustering model, but rather it segments the input data on the fly. Rerunning the same query with different input will result in a different segmentation. It also provides the main reasons (attributes) why a given customer is placed into a specific cluster.\n\nNote that the where clause has to be placed outside of the inline view so that the analytic function will build the clustering model on all the data, and not just the selected customers.\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:25+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative approach for building clustering model using an analytic function
\nIn addition to creating a persistent model that is stored as a schema object, models can be built and scored on data dynamically using Oracle's analytic function syntax.
\nIn the following example, we segment customers into 4 groups based on common characteristics and provide the segment assignments. Note that this query does not reference a pre-build clustering model, but rather it segments the input data on the fly. Rerunning the same query with different input will result in a different segmentation. It also provides the main reasons (attributes) why a given customer is placed into a specific cluster.
\nNote that the where clause has to be placed outside of the inline view so that the analytic function will build the clustering model on all the data, and not just the selected customers.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-1494174642","id":"20200915-183829_700941154","dateCreated":"2020-02-05T01:41:20+0000","dateStarted":"2020-09-15T23:32:26+0000","dateFinished":"2020-09-15T23:32:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:121"},{"title":"Build and apply a transient model using analytic functions","text":"%sql\n\nSELECT CUST_ID,\n CLUSTER_ID,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\nFROM (SELECT * \n FROM (SELECT CUST_ID,\n CLUSTER_ID(INTO 4 USING CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, \n CUST_CREDIT_LIMIT, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION,\n YRS_RESIDENCE, Y_BOX_GAMES) OVER () CLUSTER_ID,\n CLUSTER_DETAILS(INTO 4 USING CUST_GENDER, CUST_MARITAL_STATUS, CUST_YEAR_OF_BIRTH, CUST_INCOME_LEVEL, \n CUST_CREDIT_LIMIT, EDUCATION, AFFINITY_CARD, HOUSEHOLD_SIZE, OCCUPATION,\n YRS_RESIDENCE, Y_BOX_GAMES) OVER () CLUSTER_DET\n FROM CUSTOMERS360_V)\n WHERE CUST_ID <= 100010\n ORDER By 1) OUT,\n XMLTABLE('/Details'\n PASSING OUT.CLUSTER_DET\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') OUTPRED;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:26+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CLUSTER_ID":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCLUSTER_ID\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n100001\t3\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1941\" weight=\".059\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"1500\" weight=\".038\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".015\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".013\" \n100002\t4\t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".025\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".024\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".019\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".017\" \n100003\t4\t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".025\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".018\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".016\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".015\" \n100004\t4\t\"CUST_CREDIT_LIMIT\" actualValue=\"15000\" weight=\".038\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".028\" \t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".028\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".027\" \n100005\t1\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".157\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".009\" \t\"YRS_RESIDENCE\" actualValue=\"5\" weight=\".009\" \t\"EDUCATION\" actualValue=\"Assoc-A\" weight=\".007\" \n100006\t2\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".131\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1983\" weight=\".086\" \t\"YRS_RESIDENCE\" actualValue=\"2\" weight=\".056\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".038\" \n100007\t4\t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".027\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".026\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\".026\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".017\" \n100008\t4\t\"CUST_CREDIT_LIMIT\" actualValue=\"15000\" weight=\".035\" \t\"HOUSEHOLD_SIZE\" actualValue=\"2\" weight=\".026\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".019\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".018\" \n100009\t1\t\"AFFINITY_CARD\" actualValue=\"1\" weight=\".137\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\".01\" \t\"OCCUPATION\" actualValue=\"Prof.\" weight=\".007\" \t\"CUST_CREDIT_LIMIT\" actualValue=\"3000\" weight=\".004\" \n100010\t2\t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\".115\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1975\" weight=\".046\" \t\"YRS_RESIDENCE\" actualValue=\"3\" weight=\".028\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\".013\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-1418230791","id":"20200915-183829_768212009","dateCreated":"2019-07-18T18:53:54+0000","dateStarted":"2020-09-15T23:32:26+0000","dateFinished":"2020-09-15T23:32:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:122"},{"text":"%md\n## Alternative approach to creating clustering model using a settings table\n\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model. \n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:26+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Alternative approach to creating clustering model using a settings table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the table, create it, and then populate it with settings before building the model.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-817067904","id":"20200915-183829_1657745931","dateCreated":"2020-02-05T01:38:35+0000","dateStarted":"2020-09-15T23:32:27+0000","dateFinished":"2020-09-15T23:32:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:123"},{"title":"Create model settings table","text":"%script\n\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE KM_SH_SAMPLE_SETTINGS PURGE';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nCREATE TABLE KM_SH_SAMPLE_SETTINGS (SETTING_NAME VARCHAR2(30),\n SETTING_VALUE VARCHAR2(4000));","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:27+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nTable KM_SH_SAMPLE_SETTINGS created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-1387078566","id":"20200915-183829_1472213191","dateCreated":"2020-02-05T01:29:16+0000","dateStarted":"2020-09-15T23:32:27+0000","dateFinished":"2020-09-15T23:32:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:124"},{"title":"Populate settings table","text":"%script \n--HINT: Consider other Model Settings below \nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nBEGIN \n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) \n VALUES (DBMS_DATA_MINING.KMNS_DISTANCE,DBMS_DATA_MINING.KMNS_EUCLIDEAN);\n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) \n VALUES (DBMS_DATA_MINING.PREP_AUTO,DBMS_DATA_MINING.PREP_AUTO_ON);\n INSERT INTO KM_SH_SAMPLE_SETTINGS (SETTING_NAME, SETTING_VALUE) \n VALUES (DBMS_DATA_MINING.KMNS_DETAILS, DBMS_DATA_MINING.KMNS_DETAILS_ALL);\n -- Other examples of overrides are:\n -- (dbms_data_mining.kmns_iterations,3);\n -- (dbms_data_mining.kmns_block_growth,2);\n -- (dbms_data_mining.kmns_conv_tolerance,0.01);\n -- (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_variance);\n -- (dbms_data_mining.kmns_min_pct_attr_support,0.1);\n -- (dbms_data_mining.kmns_num_bins,10);\nEND;\n/","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:27+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-169124538","id":"20200915-183829_1107912142","dateCreated":"2020-02-05T01:31:38+0000","dateStarted":"2020-09-15T23:32:28+0000","dateFinished":"2020-09-15T23:32:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:125"},{"title":"View the contents of the model settings table","text":"%sql\n-- NOTE: The settings table can be reused or modified in multiple model build executions. \n\nSELECT * FROM KM_SH_SAMPLE_SETTINGS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:29+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nKMNS_DISTANCE\tKMNS_EUCLIDEAN\nPREP_AUTO\tON\nKMNS_DETAILS\tKMNS_DETAILS_ALL\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-2120269592","id":"20200915-183829_541319442","dateCreated":"2020-02-05T01:32:12+0000","dateStarted":"2020-09-15T23:32:29+0000","dateFinished":"2020-09-15T23:32:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:126"},{"title":"Drop, then build the k-Means Clustering model","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('KM_SH_CLUS_SAMPLE2');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nBEGIN\nDBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'KM_SH_CLUS_SAMPLE2',\n MINING_FUNCTION => DBMS_DATA_MINING.CLUSTERING,\n DATA_TABLE_NAME => 'CUSTOMERS360_V',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n SETTINGS_TABLE_NAME => 'KM_SH_SAMPLE_SETTINGS');\nEND;\n/","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:29+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_1311325820","id":"20200915-183829_998752379","dateCreated":"2020-02-05T01:32:52+0000","dateStarted":"2020-09-15T23:32:29+0000","dateFinished":"2020-09-15T23:32:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:127"},{"title":"Display the actual settings used by the algorithm","text":"%sql\n\nSELECT SETTING_NAME, SETTING_VALUE\nFROM USER_MINING_MODEL_SETTINGS\nWHERE MODEL_NAME = 'KM_SH_CLUS_SAMPLE2'\nORDER BY SETTING_NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:32+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"SETTING_NAME\tSETTING_VALUE\nALGO_NAME\tALGO_KMEANS\nCLUS_NUM_CLUSTERS\t10\nKMNS_CONV_TOLERANCE\t.001\nKMNS_DETAILS\tKMNS_DETAILS_ALL\nKMNS_DISTANCE\tKMNS_EUCLIDEAN\nKMNS_ITERATIONS\t20\nKMNS_MIN_PCT_ATTR_SUPPORT\t.1\nKMNS_NUM_BINS\t11\nKMNS_RANDOM_SEED\t0\nKMNS_SPLIT_CRITERION\tKMNS_VARIANCE\nODMS_DETAILS\tODMS_ENABLE\nODMS_MISSING_VALUE_TREATMENT\tODMS_MISSING_VALUE_AUTO\nODMS_SAMPLING\tODMS_SAMPLING_DISABLE\nPREP_AUTO\tON\n"}]},"interrupted":false,"jobName":"paragraph_1600195109512_-1178829029","id":"20200915-183829_1830259140","dateCreated":"2018-02-06T14:32:18+0000","dateStarted":"2020-09-15T23:32:32+0000","dateFinished":"2020-09-15T23:32:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:128"},{"text":"%md\n# End of Script\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:32:32+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","fontSize":9,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
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diff --git a/machine-learning/notebooks/sql/OML4SQL_Partitioned_Model.json b/machine-learning/notebooks/sql/OML4SQL_Partitioned_Model.json
new file mode 100644
index 00000000..42d6f581
--- /dev/null
+++ b/machine-learning/notebooks/sql/OML4SQL_Partitioned_Model.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n#OML4SQL Partitioned Model\nOracle Machine Learning enables automatically building an ensemble model comprised of multiple sub-models, one for each data partition. Sub-models exist and are used as one model, which results in simplified scoring using top-level model only. The proper sub-model is chosen by system based on row of data to be scored. Partitioned models achieve potentially better accuracy through multiple targeted models. \n\nIn this notebook, we build an SVM model to predict the number of years a customer resides at their residence but partitioned on customer gender. The model is then used to predict the target first, then predicting the target with prediction details. \n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:34+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"OML4SQL Partitioned Model
\nOracle Machine Learning enables automatically building an ensemble model comprised of multiple sub-models, one for each data partition. Sub-models exist and are used as one model, which results in simplified scoring using top-level model only. The proper sub-model is chosen by system based on row of data to be scored. Partitioned models achieve potentially better accuracy through multiple targeted models.
\nIn this notebook, we build an SVM model to predict the number of years a customer resides at their residence but partitioned on customer gender. The model is then used to predict the target first, then predicting the target with prediction details.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_2047773424","id":"20200915-183829_867919191","dateCreated":"2020-04-27T13:55:25+0000","dateStarted":"2020-09-15T23:35:34+0000","dateFinished":"2020-09-15T23:35:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:25"},{"title":"For more information...","text":"%md\r\nOracle ADW Documentation \r\nOML folder on Oracle Github \r\nOML web page: \r\nOML Partitioned Model: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:35+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Partitioned Model: http://www.oracle.com/goto/ml-partitioned-model
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_2031899468","id":"20200915-183829_140582035","dateCreated":"2020-06-10T19:18:18+0000","dateStarted":"2020-09-15T23:35:35+0000","dateFinished":"2020-09-15T23:35:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:26"},{"title":"Create dataset with data from SH schema","text":"%script\n\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE CUSTOMERS_DEMO';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nCREATE TABLE CUSTOMERS_DEMO AS \n SELECT A.CUST_ID, A.CUST_GENDER, A.CUST_MARITAL_STATUS, A.CUST_YEAR_OF_BIRTH, A.CUST_INCOME_LEVEL, A.CUST_CREDIT_LIMIT, \n B.EDUCATION, B.AFFINITY_CARD, B.HOUSEHOLD_SIZE, B.OCCUPATION, B.YRS_RESIDENCE, B.Y_BOX_GAMES\n FROM SH.CUSTOMERS A, SH.SUPPLEMENTARY_DEMOGRAPHICS B\n WHERE A.CUST_ID = B.CUST_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:35+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nTable CUSTOMERS_DEMO created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_1373260510","id":"20200915-183829_1900948591","dateCreated":"2020-06-11T02:09:40+0000","dateStarted":"2020-09-15T23:35:36+0000","dateFinished":"2020-09-15T23:35:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:27"},{"title":"Display number of rows","text":"%sql\n\nselect count(*) from CUSTOMERS_DEMO;","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:36+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":84.0057,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNT(*)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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CUSTOMERS_DEMO;","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_GENDER":"string","CUST_MARITAL_STATUS":"string","CUST_YEAR_OF_BIRTH":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","EDUCATION":"string","AFFINITY_CARD":"string","HOUSEHOLD_SIZE":"string","OCCUPATION":"string","YRS_RESIDENCE":"string","Y_BOX_GAMES":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_GENDER\tCUST_MARITAL_STATUS\tCUST_YEAR_OF_BIRTH\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tEDUCATION\tAFFINITY_CARD\tHOUSEHOLD_SIZE\tOCCUPATION\tYRS_RESIDENCE\tY_BOX_GAMES\n100100\tF\tMarried\t1959\tJ: 190,000 - 249,999\t10000\tMasters\t1\t4-5\tProf.\t4\t0\n100200\tM\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100300\tM\tMarried\t1961\tG: 130,000 - 149,999\t10000\tBach.\t1\t3\tProf.\t4\t0\n100400\tM\tDivorc.\t1944\tC: 50,000 - 69,999\t9000\t12th\t0\t6-8\tTransp.\t6\t0\n100500\tM\tNeverM\t1983\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t1\tCrafts\t2\t1\n100600\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\t11th\t0\t3\tTransp.\t3\t1\n100700\tM\tMarried\t1947\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t6\t0\n100800\tM\tMarried\t1935\tK: 250,000 - 299,999\t11000\tBach.\t0\t3\tSales\t5\t0\n100900\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tExec.\t4\t0\n101000\tM\tMarried\t1936\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t3\tCrafts\t7\t0\n101100\tM\tNeverM\t1969\tJ: 190,000 - 249,999\t15000\tAssoc-V\t0\t2\tOther\t4\t0\n101200\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\t?\t1\t1\n101300\tM\tMarried\t1960\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tTechSup\t4\t0\n101400\tM\tMarried\t1964\tB: 30,000 - 49,999\t1500\t9th\t1\t3\tMachine\t4\t0\n101500\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tSales\t2\t1\n101600\tM\tMarried\t1958\tF: 110,000 - 129,999\t3000\t< Bach.\t1\t3\tExec.\t5\t0\n101700\tF\tNeverM\t1973\tK: 250,000 - 299,999\t11000\tAssoc-A\t0\t9+\tMachine\t3\t0\n101800\tM\tMarried\t1958\tG: 130,000 - 149,999\t3000\tAssoc-V\t1\t3\tCrafts\t5\t0\n101900\tM\tMarried\t1950\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n102000\tF\tMabsent\t1960\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tExec.\t4\t0\n102100\tF\tNeverM\t1983\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tOther\t2\t1\n102200\tM\tMarried\t1967\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t3\tCrafts\t4\t0\n102300\tM\tMarried\t1972\tG: 130,000 - 149,999\t3000\t12th\t0\t3\tCrafts\t3\t0\n102400\tM\tMarried\t1967\tL: 300,000 and above\t11000\tBach.\t1\t3\tExec.\t5\t0\n102500\tM\tDivorc.\t1941\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t6-8\tTransp.\t6\t0\n102600\tF\tNeverM\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tSales\t3\t0\n102700\tM\tMarried\t1961\tK: 250,000 - 299,999\t15000\tBach.\t0\t3\tExec.\t6\t0\n102800\tM\tDivorc.\t1973\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tMachine\t3\t0\n102900\tM\tNeverM\t1978\tC: 50,000 - 69,999\t9000\t12th\t0\t6-8\tOther\t3\t1\n103000\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tCleric.\t3\t0\n103100\tM\tMarried\t1955\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t3\tCrafts\t6\t0\n103200\tF\tDivorc.\t1971\tF: 110,000 - 129,999\t5000\tAssoc-A\t0\t9+\tProf.\t3\t0\n103300\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t3\t1\n103400\tM\tMarried\t1962\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t5\t0\n103500\tF\tDivorc.\t1958\tL: 300,000 and above\t15000\tProfsc\t0\t9+\tProf.\t5\t0\n103600\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n103700\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n103800\tM\tMarried\t1950\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t3\tCrafts\t9\t0\n103900\tM\tMarried\t1960\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t3\tSales\t6\t0\n104000\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n104100\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tHandler\t2\t1\n104200\tM\tNeverM\t1978\tE: 90,000 - 109,999\t1500\tHS-grad\t0\t2\tExec.\t3\t1\n104300\tM\tMarried\t1952\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t3\tCrafts\t3\t0\n104400\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t9+\tCrafts\t4\t0\n104500\tF\tDivorc.\t1962\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t9+\tCrafts\t5\t0\n100001\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t2\tExec.\t3\t0\n100002\tF\tNeverM\t1962\tL: 300,000 and above\t7000\tBach.\t0\t2\tProf.\t4\t0\n100003\tM\tNeverM\t1969\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t2\tSales\t6\t0\n100004\tF\tDivorc.\t1953\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tSales\t5\t0\n100005\tM\tMarried\t1957\tB: 30,000 - 49,999\t1500\tAssoc-A\t1\t3\tCrafts\t5\t0\n100006\tF\tNeverM\t1983\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\tProf.\t2\t1\n100007\tF\tDivorc.\t1963\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tOther\t5\t0\n100008\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tCrafts\t5\t0\n100009\tM\tMarried\t1974\tG: 130,000 - 149,999\t3000\tBach.\t1\t3\tProf.\t3\t1\n100010\tM\tMarried\t1975\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tCrafts\t3\t1\n100011\tM\tNeverM\t1972\tF: 110,000 - 129,999\t10000\t9th\t0\t2\tFarming\t3\t0\n100012\tM\tMarried\t1968\tH: 150,000 - 169,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n100013\tM\tMarried\t1961\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t3\tTransp.\t5\t0\n100014\tF\tDivorc.\t1954\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tCleric.\t5\t0\n100015\tM\tSepar.\t1959\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tExec.\t6\t0\n100016\tF\tDivorc.\t1969\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tExec.\t4\t0\n100017\tF\tMabsent\t1935\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tFarming\t5\t0\n100018\tF\tMarried\t1976\tA: Below 30,000\t1500\t< Bach.\t0\t4-5\tHandler\t3\t1\n100019\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\tAssoc-V\t1\t3\tTransp.\t4\t0\n100020\tF\tDivorc.\t1946\tJ: 190,000 - 249,999\t9000\tMasters\t0\t9+\tOther\t6\t0\n100021\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tExec.\t4\t0\n100022\tM\tMarried\t1965\tI: 170,000 - 189,999\t5000\tAssoc-V\t1\t3\tExec.\t5\t0\n100023\tM\tMarried\t1949\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tSales\t8\t0\n100024\tM\tMarried\t1952\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t3\tCrafts\t5\t0\n100025\tF\tNeverM\t1977\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t2\tProf.\t3\t1\n100026\tM\tMarried\t1973\tL: 300,000 and above\t15000\tBach.\t0\t3\tSales\t3\t0\n100027\tM\tMarried\t1969\tL: 300,000 and above\t11000\t9th\t0\t3\tCrafts\t3\t0\n100028\tF\tNeverM\t1971\tE: 90,000 - 109,999\t1500\tBach.\t0\t2\tCleric.\t4\t0\n100029\tM\tMarried\t1962\tI: 170,000 - 189,999\t3000\tAssoc-A\t1\t3\tTechSup\t5\t0\n100030\tF\tDivorc.\t1980\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tOther\t2\t1\n100031\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t1500\tBach.\t0\t6-8\tSales\t4\t0\n100032\tM\tNeverM\t1965\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n100033\tM\tDivorc.\t1958\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t5\t0\n100034\tM\tMarried\t1963\tL: 300,000 and above\t9000\tPhD\t1\t3\tProf.\t4\t0\n100035\tF\tMarried\t1973\tH: 150,000 - 169,999\t5000\tBach.\t1\t4-5\tProf.\t4\t0\n100036\tM\tMarried\t1954\tL: 300,000 and above\t7000\tBach.\t0\t3\tExec.\t6\t0\n100037\tM\tSepar.\t1957\tJ: 190,000 - 249,999\t9000\tProfsc\t1\t2\tProf.\t6\t0\n100038\tF\tMarried\t1980\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n100039\tM\tMarried\t1970\tJ: 190,000 - 249,999\t15000\tAssoc-A\t1\t3\tProf.\t3\t0\n100040\tF\tNeverM\t1986\tJ: 190,000 - 249,999\t9000\t11th\t0\t1\tSales\t0\t1\n100041\tF\tNeverM\t1982\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tHandler\t2\t1\n100042\tM\tMarried\t1966\tJ: 190,000 - 249,999\t9000\tBach.\t1\t3\tProf.\t1\t0\n100043\tM\tNeverM\t1979\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t1\tOther\t2\t1\n100044\tM\tNeverM\t1980\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tSales\t2\t1\n100045\tM\tMarried\t1970\tL: 300,000 and above\t15000\tAssoc-A\t0\t3\tSales\t5\t0\n100046\tM\tMarried\t1962\tF: 110,000 - 129,999\t3000\t< Bach.\t1\t3\tExec.\t5\t0\n100047\tM\tNeverM\t1980\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t1\tCleric.\t2\t1\n100048\tM\tNeverM\t1980\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100049\tF\tDivorc.\t1948\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tMachine\t6\t0\n100050\tM\tNeverM\t1979\tF: 110,000 - 129,999\t1500\t12th\t0\t9+\tMachine\t2\t1\n100051\tF\tDivorc.\t1959\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n100052\tM\tMarried\t1957\tH: 150,000 - 169,999\t5000\tMasters\t1\t3\tExec.\t6\t0\n100053\tM\tMarried\t1934\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t3\tTechSup\t5\t0\n100054\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tExec.\t4\t0\n100055\tF\tMarried\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t4-5\tExec.\t1\t1\n100056\tM\tMarried\t1959\tF: 110,000 - 129,999\t9000\tBach.\t0\t3\tTechSup\t4\t0\n100057\tM\tMarried\t1962\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t4\t0\n100058\tM\tMarried\t1961\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t3\tFarming\t6\t0\n100059\tM\tDivorc.\t1954\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t2\tSales\t6\t0\n100060\tF\tMabsent\t1969\tG: 130,000 - 149,999\t15000\tHS-grad\t0\t9+\tOther\t6\t0\n100061\tM\tDivorc.\t1959\tD: 70,000 - 89,999\t5000\tAssoc-V\t0\t9+\tTechSup\t4\t0\n100062\tF\tNeverM\t1963\tK: 250,000 - 299,999\t15000\tBach.\t0\t2\tTechSup\t5\t0\n100063\tM\tMarried\t1950\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t3\tTechSup\t5\t0\n100064\tM\tMarried\t1950\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t3\tMachine\t5\t0\n100065\tM\tDivorc.\t1949\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tTransp.\t5\t0\n100066\tM\tMarried\t1957\tL: 300,000 and above\t9000\tBach.\t1\t3\tProf.\t6\t0\n100067\tM\tNeverM\t1962\tH: 150,000 - 169,999\t5000\tBach.\t0\t2\tTechSup\t4\t0\n100068\tM\tMarried\t1942\tC: 50,000 - 69,999\t9000\tHS-grad\t1\t3\tExec.\t6\t0\n100069\tF\tDivorc.\t1958\tG: 130,000 - 149,999\t5000\tProfsc\t0\t9+\tProf.\t5\t0\n100070\tM\tMarried\t1960\tF: 110,000 - 129,999\t9000\t< Bach.\t1\t3\tCrafts\t5\t0\n100071\tM\tMarried\t1975\tG: 130,000 - 149,999\t9000\t< Bach.\t1\t3\tSales\t4\t1\n100072\tM\tMabsent\t1971\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t6-8\tCrafts\t3\t0\n100073\tM\tMarried\t1959\tK: 250,000 - 299,999\t15000\tPhD\t1\t3\tProf.\t4\t0\n100074\tM\tNeverM\t1967\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t2\tFarming\t5\t0\n100075\tM\tMarried\t1964\tI: 170,000 - 189,999\t11000\tBach.\t0\t3\tCrafts\t4\t0\n100076\tM\tNeverM\t1982\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100077\tF\tMarried\t1959\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t4-5\tCleric.\t4\t0\n100078\tM\tMarried\t1975\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tTransp.\t3\t1\n100079\tF\tNeverM\t1978\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100080\tM\tMarried\t1976\tG: 130,000 - 149,999\t9000\t9th\t0\t3\tCrafts\t3\t1\n100081\tM\tMarried\t1955\tE: 90,000 - 109,999\t7000\tBach.\t1\t3\tExec.\t7\t0\n100082\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t2\tCleric.\t3\t1\n100083\tF\tDivorc.\t1974\tA: Below 30,000\t1500\tBach.\t0\t9+\tOther\t3\t1\n100084\tF\tWidowed\t1967\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tHandler\t3\t0\n100085\tM\tMarried\t1944\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\tMachine\t6\t0\n100086\tF\tNeverM\t1984\tL: 300,000 and above\t15000\t12th\t0\t6-8\tOther\t1\t1\n100087\tM\tNeverM\t1970\tD: 70,000 - 89,999\t9000\tBach.\t0\t2\tProf.\t5\t0\n100088\tM\tNeverM\t1967\tL: 300,000 and above\t11000\t7th-8th\t0\t9+\tCrafts\t4\t0\n100089\tM\tMarried\t1935\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tExec.\t7\t0\n100090\tF\tNeverM\t1961\tI: 170,000 - 189,999\t1500\tBach.\t0\t2\tExec.\t4\t0\n100091\tM\tMarried\t1962\tF: 110,000 - 129,999\t5000\tBach.\t0\t3\tExec.\t4\t0\n100092\tM\tDivorc.\t1934\tL: 300,000 and above\t7000\tBach.\t0\t2\tHandler\t7\t0\n100093\tM\tMarried\t1946\tL: 300,000 and above\t15000\t< Bach.\t0\t3\tSales\t7\t0\n100094\tM\tMarried\t1957\tC: 50,000 - 69,999\t3000\tHS-grad\t1\t3\tMachine\t5\t0\n100095\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tTechSup\t4\t0\n100096\tF\tNeverM\t1958\tL: 300,000 and above\t9000\tMasters\t0\t2\tProf.\t7\t0\n100097\tF\tNeverM\t1970\tI: 170,000 - 189,999\t1500\t5th-6th\t0\t9+\tOther\t3\t0\n100098\tM\tSepar.\t1978\tJ: 190,000 - 249,999\t11000\t11th\t0\t1\tCrafts\t3\t1\n100099\tM\tMarried\t1973\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tTechSup\t3\t0\n100101\tM\tMarried\t1972\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tProf.\t3\t0\n100102\tM\tNeverM\t1966\tC: 50,000 - 69,999\t5000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100103\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tProtec.\t3\t1\n100104\tM\tSepar.\t1982\tI: 170,000 - 189,999\t1500\t10th\t0\t1\tMachine\t2\t1\n100105\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t10000\tBach.\t0\t1\tCleric.\t3\t1\n100106\tF\tMarried\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tExec.\t4\t0\n100107\tM\tDivorc.\t1947\tL: 300,000 and above\t9000\t9th\t0\t2\tCleric.\t6\t0\n100108\tM\tMarried\t1955\tL: 300,000 and above\t15000\tMasters\t0\t3\tOther\t5\t0\n100109\tM\tMarried\t1957\tK: 250,000 - 299,999\t11000\tAssoc-V\t0\t3\tExec.\t7\t0\n100110\tM\tMarried\t1975\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t3\tFarming\t4\t1\n100111\tM\tNeverM\t1970\tE: 90,000 - 109,999\t3000\t< Bach.\t0\t2\tSales\t2\t0\n100112\tM\tMarried\t1942\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t3\tMachine\t6\t0\n100113\tF\tNeverM\t1985\tB: 30,000 - 49,999\t3000\t12th\t0\t1\tCleric.\t1\t1\n100114\tM\tNeverM\t1981\tE: 90,000 - 109,999\t7000\t10th\t0\t6-8\tCrafts\t2\t1\n100115\tM\tNeverM\t1981\tF: 110,000 - 129,999\t9000\tBach.\t0\t1\tProf.\t2\t1\n100116\tF\tMarried\t1963\tL: 300,000 and above\t9000\tAssoc-V\t0\t4-5\tProf.\t4\t0\n100117\tF\tDivorc.\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t2\tOther\t4\t0\n100118\tM\tMarried\t1956\tL: 300,000 and above\t11000\tHS-grad\t1\t3\tExec.\t6\t0\n100119\tF\tDivorc.\t1962\tG: 130,000 - 149,999\t5000\tBach.\t0\t2\tExec.\t4\t0\n100120\tM\tMarried\t1962\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tFarming\t5\t0\n100121\tM\tDivorc.\t1975\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t1\n100122\tF\tMarried\t1954\tB: 30,000 - 49,999\t5000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100123\tF\tWidowed\t1938\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100124\tM\tMarried\t1939\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tHandler\t3\t0\n100125\tM\tNeverM\t1975\tE: 90,000 - 109,999\t7000\tBach.\t0\t1\tTechSup\t1\t1\n100126\tM\tMarried\t1968\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t4\t0\n100127\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t2\t1\n100128\tF\tMarried\t1968\tE: 90,000 - 109,999\t9000\tBach.\t1\t4-5\tExec.\t3\t0\n100129\tM\tNeverM\t1979\tL: 300,000 and above\t15000\tAssoc-A\t0\t1\tMachine\t1\t1\n100130\tM\tMarried\t1957\tJ: 190,000 - 249,999\t11000\t5th-6th\t0\t3\tMachine\t5\t0\n100131\tM\tDivorc.\t1978\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tOther\t3\t1\n100132\tF\tWidowed\t1926\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t2\tHouse-s\t4\t0\n100133\tF\tNeverM\t1975\tC: 50,000 - 69,999\t9000\tBach.\t0\t1\tCleric.\t2\t1\n100134\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\tAssoc-A\t0\t2\tCleric.\t2\t0\n100135\tF\tMarried\t1957\tE: 90,000 - 109,999\t3000\t11th\t1\t4-5\tOther\t5\t0\n100136\tM\tNeverM\t1974\tJ: 190,000 - 249,999\t15000\tBach.\t0\t2\tProtec.\t4\t1\n100137\tF\tDivorc.\t1963\tE: 90,000 - 109,999\t9000\t11th\t0\t6-8\tOther\t2\t0\n100138\tM\tNeverM\t1959\tL: 300,000 and above\t15000\tBach.\t0\t2\tProf.\t4\t0\n100139\tM\tMarried\t1945\tJ: 190,000 - 249,999\t11000\t1st-4th\t0\t3\tOther\t6\t0\n100140\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t1\t?\t1\t1\n100141\tM\tMarried\t1977\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t3\tCleric.\t3\t1\n100142\tF\tDivorc.\t1948\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t2\tCleric.\t6\t0\n100143\tF\tNeverM\t1969\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tProf.\t3\t0\n100144\tM\tNeverM\t1967\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t2\tExec.\t4\t0\n100145\tM\tNeverM\t1978\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tCleric.\t3\t1\n100146\tM\tMarried\t1959\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t3\tCleric.\t6\t0\n100147\tM\tMarried\t1925\tA: Below 30,000\t1500\tHS-grad\t0\t3\t?\t6\t0\n100148\tF\tWidowed\t1936\tI: 170,000 - 189,999\t9000\t7th-8th\t0\t2\tOther\t3\t0\n100149\tM\tMarried\t1955\tE: 90,000 - 109,999\t1500\t11th\t1\t3\tFarming\t6\t0\n100150\tM\tMarried\t1946\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tSales\t7\t0\n100151\tM\tMarried\t1957\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t3\t?\t5\t0\n100152\tF\tMarried\t1970\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t4-5\tTechSup\t3\t0\n100153\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n100154\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t9+\tExec.\t5\t0\n100155\tM\tMarried\t1977\tI: 170,000 - 189,999\t10000\tAssoc-V\t0\t3\tCleric.\t3\t1\n100156\tM\tMarried\t1967\tG: 130,000 - 149,999\t10000\tHS-grad\t1\t3\tExec.\t5\t0\n100157\tF\tNeverM\t1985\tI: 170,000 - 189,999\t3000\t11th\t0\t1\tOther\t1\t1\n100158\tM\tNeverM\t1981\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t2\tSales\t2\t1\n100159\tM\tNeverM\t1982\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t6-8\t?\t3\t1\n100160\tF\tDivorc.\t1971\tF: 110,000 - 129,999\t10000\tAssoc-A\t0\t9+\tProf.\t3\t0\n100161\tM\tNeverM\t1947\tC: 50,000 - 69,999\t5000\tBach.\t0\t2\tTransp.\t10\t0\n100162\tM\tDivorc.\t1955\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t2\tCrafts\t5\t0\n100163\tM\tMarried\t1926\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tOther\t6\t0\n100164\tM\tMarried\t1946\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t9\t0\n100165\tF\tNeverM\t1959\tD: 70,000 - 89,999\t10000\tBach.\t0\t2\tProf.\t4\t0\n100166\tF\tMarried\t1961\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t4-5\tExec.\t4\t0\n100167\tF\tNeverM\t1984\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t2\tCleric.\t1\t1\n100168\tF\tDivorc.\t1976\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t9+\tCleric.\t3\t1\n100169\tF\tMarried\t1975\tD: 70,000 - 89,999\t15000\t< Bach.\t0\t4-5\tSales\t3\t1\n100170\tF\tWidowed\t1943\tF: 110,000 - 129,999\t3000\t7th-8th\t0\t9+\t?\t3\t0\n100171\tF\tMarried\t1966\tC: 50,000 - 69,999\t7000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100172\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n100173\tM\tMarried\t1959\tH: 150,000 - 169,999\t1500\tAssoc-A\t1\t3\tProf.\t4\t0\n100174\tM\tDivorc.\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t2\tExec.\t6\t0\n100175\tM\tMarried\t1975\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t3\t1\n100176\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tProtec.\t4\t0\n100177\tM\tNeverM\t1984\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tHandler\t1\t1\n100178\tM\tMarried\t1954\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t5\t0\n100179\tM\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t3\tExec.\t7\t0\n100180\tM\tNeverM\t1981\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tProf.\t3\t1\n100181\tF\tNeverM\t1977\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n100182\tM\tMarried\t1972\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tMachine\t3\t0\n100183\tM\tMarried\t1948\tG: 130,000 - 149,999\t7000\tHS-grad\t1\t3\tCrafts\t6\t0\n100184\tF\tNeverM\t1962\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t2\tCleric.\t4\t0\n100185\tM\tMarried\t1953\tJ: 190,000 - 249,999\t7000\tBach.\t1\t3\tSales\t8\t0\n100186\tM\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\t?\t1\t1\n100187\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tTechSup\t3\t1\n100188\tF\tNeverM\t1984\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tCleric.\t1\t1\n100189\tM\tNeverM\t1978\tL: 300,000 and above\t7000\tMasters\t0\t1\tProf.\t1\t1\n100190\tM\tMarried\t1956\tD: 70,000 - 89,999\t1500\tBach.\t0\t3\tProf.\t5\t0\n100191\tM\tMarried\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tSales\t3\t1\n100192\tM\tMarried\t1967\tI: 170,000 - 189,999\t9000\tMasters\t1\t3\tProf.\t4\t0\n100193\tM\tNeverM\t1975\tB: 30,000 - 49,999\t3000\tBach.\t0\t1\tProf.\t1\t1\n100194\tF\tNeverM\t1981\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100195\tM\tNeverM\t1984\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t6-8\tOther\t1\t1\n100196\tM\tMarried\t1939\tK: 250,000 - 299,999\t7000\tProfsc\t0\t3\t?\t3\t0\n100197\tM\tMarried\t1961\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tCrafts\t2\t0\n100198\tF\tNeverM\t1986\tG: 130,000 - 149,999\t7000\t11th\t0\t1\t?\t1\t1\n100199\tF\tWidowed\t1922\tF: 110,000 - 129,999\t1500\t9th\t0\t2\tHouse-s\t2\t0\n100201\tM\tNeverM\t1980\tL: 300,000 and above\t9000\t< Bach.\t0\t1\tOther\t5\t1\n100202\tF\tNeverM\t1970\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tTechSup\t3\t0\n100203\tM\tMarried\t1974\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t3\tCrafts\t3\t1\n100204\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t3\t1\n100205\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tFarming\t2\t1\n100206\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t1\tCleric.\t5\t1\n100207\tF\tNeverM\t1966\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t1\tTechSup\t4\t0\n100208\tF\tDivorc.\t1971\tJ: 190,000 - 249,999\t10000\tAssoc-A\t0\t9+\tProf.\t3\t0\n100209\tF\tDivorc.\t1968\tG: 130,000 - 149,999\t7000\t< Bach.\t1\t2\tExec.\t4\t0\n100210\tM\tMarried\t1948\tI: 170,000 - 189,999\t5000\tBach.\t0\t3\tExec.\t14\t0\n100211\tM\tNeverM\t1980\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t2\tProtec.\t2\t1\n100212\tM\tNeverM\t1983\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t2\tOther\t2\t1\n100213\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tAssoc-A\t0\t9+\tCleric.\t3\t1\n100214\tF\tNeverM\t1984\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tSales\t1\t1\n100215\tM\tMarried\t1959\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n100216\tM\tSepar.\t1944\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t2\tProtec.\t6\t0\n100217\tM\tMabsent\t1957\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tFarming\t8\t0\n100218\tF\tNeverM\t1971\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tSales\t3\t0\n100219\tM\tMarried\t1949\tL: 300,000 and above\t7000\t1st-4th\t0\t3\tOther\t5\t0\n100220\tF\tMarried\t1979\tK: 250,000 - 299,999\t15000\tBach.\t0\t4-5\tCleric.\t3\t1\n100221\tM\tSepar.\t1967\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\tTransp.\t5\t0\n100222\tF\tNeverM\t1972\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t2\tSales\t4\t0\n100223\tF\tNeverM\t1977\tK: 250,000 - 299,999\t9000\tAssoc-V\t0\t2\tOther\t3\t1\n100224\tM\tMarried\t1951\tA: Below 30,000\t1500\tBach.\t1\t3\tProtec.\t8\t0\n100225\tM\tMarried\t1979\tL: 300,000 and above\t11000\tBach.\t0\t3\tProf.\t2\t1\n100226\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tSales\t2\t1\n100227\tM\tDivorc.\t1976\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\t?\t3\t1\n100228\tM\tMarried\t1982\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n100229\tM\tMarried\t1966\tD: 70,000 - 89,999\t10000\t9th\t1\t3\tTransp.\t6\t0\n100230\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t6\t0\n100231\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tMachine\t2\t1\n100232\tF\tMarried\t1968\tI: 170,000 - 189,999\t11000\tBach.\t1\t4-5\tSales\t3\t0\n100233\tM\tMarried\t1953\tD: 70,000 - 89,999\t5000\tHS-grad\t1\t3\tCrafts\t6\t0\n100234\tF\tNeverM\t1983\tD: 70,000 - 89,999\t5000\t< Bach.\t0\t2\tTechSup\t2\t1\n100235\tM\tMarried\t1932\tJ: 190,000 - 249,999\t9000\t5th-6th\t0\t3\tTransp.\t7\t0\n100236\tM\tMarried\t1958\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t3\tSales\t7\t0\n100237\tF\tDivorc.\t1956\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t9+\tCleric.\t5\t0\n100238\tM\tMarried\t1973\tL: 300,000 and above\t15000\tAssoc-V\t0\t3\tHandler\t3\t0\n100239\tM\tMarried\t1961\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t4\t0\n100240\tM\tNeverM\t1979\tK: 250,000 - 299,999\t11000\tBach.\t0\t1\t?\t2\t1\n100241\tM\tMarried\t1966\tL: 300,000 and above\t11000\tBach.\t1\t3\tCleric.\t4\t0\n100242\tF\tNeverM\t1982\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t2\tProf.\t1\t1\n100243\tF\tMarried\t1969\tJ: 190,000 - 249,999\t7000\tAssoc-A\t1\t4-5\tProf.\t3\t0\n100244\tM\tMarried\t1941\tH: 150,000 - 169,999\t10000\t9th\t0\t3\tOther\t6\t0\n100245\tM\tMarried\t1960\tI: 170,000 - 189,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n100246\tM\tNeverM\t1978\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100247\tF\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t4-5\tCleric.\t4\t0\n100248\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tSales\t3\t1\n100249\tF\tNeverM\t1966\tJ: 190,000 - 249,999\t15000\tMasters\t0\t1\tExec.\t4\t0\n100250\tF\tDivorc.\t1964\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t0\n100251\tM\tWidowed\t1929\tJ: 190,000 - 249,999\t15000\t9th\t0\t2\tCrafts\t2\t0\n100252\tF\tDivorc.\t1960\tE: 90,000 - 109,999\t7000\tBach.\t0\t9+\tProf.\t2\t0\n100253\tF\tNeverM\t1978\tK: 250,000 - 299,999\t7000\tBach.\t0\t2\tCleric.\t1\t1\n100254\tM\tMarried\t1969\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tExec.\t4\t0\n100255\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tCleric.\t3\t1\n100256\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tBach.\t1\t3\tProf.\t9\t0\n100257\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tHS-grad\t0\t2\tOther\t2\t1\n100258\tM\tSepar.\t1975\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t2\tCrafts\t3\t1\n100259\tM\tMarried\t1969\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tTechSup\t3\t0\n100260\tM\tDivorc.\t1945\tJ: 190,000 - 249,999\t15000\tBach.\t0\t2\tSales\t6\t0\n100261\tM\tMarried\t1977\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tTransp.\t3\t1\n100262\tF\tDivorc.\t1964\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t9+\tCleric.\t4\t0\n100263\tM\tMarried\t1969\tG: 130,000 - 149,999\t5000\t10th\t1\t3\tCrafts\t4\t0\n100264\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t2\t1\n100265\tM\tDivorc.\t1959\tL: 300,000 and above\t15000\tBach.\t0\t2\tProtec.\t4\t0\n100266\tM\tMarried\t1949\tL: 300,000 and above\t11000\tAssoc-A\t1\t3\tSales\t7\t0\n100267\tM\tMarried\t1953\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tCrafts\t6\t0\n100268\tM\tMarried\t1967\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tTransp.\t5\t0\n100269\tF\tDivorc.\t1957\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t2\tCleric.\t5\t0\n100270\tM\tMarried\t1954\tC: 50,000 - 69,999\t3000\tHS-grad\t1\t3\tCrafts\t6\t0\n100271\tM\tMarried\t1967\tG: 130,000 - 149,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n100272\tM\tMarried\t1960\tC: 50,000 - 69,999\t1500\tBach.\t1\t3\tProf.\t4\t0\n100273\tM\tMarried\t1938\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t7\t0\n100274\tM\tMarried\t1967\tD: 70,000 - 89,999\t1500\tBach.\t0\t3\tExec.\t5\t0\n100275\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tCleric.\t4\t0\n100276\tM\tMarried\t1946\tE: 90,000 - 109,999\t7000\t< Bach.\t1\t3\tSales\t7\t0\n100277\tF\tDivorc.\t1946\tL: 300,000 and above\t7000\tHS-grad\t0\t9+\tCleric.\t6\t0\n100278\tM\tMarried\t1963\tD: 70,000 - 89,999\t3000\tAssoc-V\t1\t3\tMachine\t4\t0\n100279\tM\tMarried\t1965\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t3\tTechSup\t5\t0\n100280\tM\tNeverM\t1961\tJ: 190,000 - 249,999\t10000\t< Bach.\t0\t2\tCrafts\t4\t0\n100281\tM\tMarried\t1958\tH: 150,000 - 169,999\t10000\tBach.\t1\t3\tExec.\t6\t0\n100282\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t4\t0\n100283\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tExec.\t6\t0\n100284\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\t?\t2\t1\n100285\tF\tDivorc.\t1965\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t9+\tExec.\t4\t0\n100286\tM\tMarried\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tOther\t4\t0\n100287\tM\tNeverM\t1977\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t9+\tOther\t3\t1\n100288\tM\tNeverM\t1980\tL: 300,000 and above\t11000\tAssoc-V\t0\t1\tOther\t1\t1\n100289\tM\tSepar.\t1949\tB: 30,000 - 49,999\t1500\t9th\t0\t9+\tCrafts\t5\t0\n100290\tM\tMarried\t1925\tC: 50,000 - 69,999\t5000\t7th-8th\t0\t3\tFarming\t6\t0\n100291\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t9+\tOther\t2\t0\n100292\tM\tNeverM\t1984\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tFarming\t2\t1\n100293\tM\tMarried\t1965\tL: 300,000 and above\t9000\tBach.\t1\t3\tExec.\t5\t0\n100294\tF\tNeverM\t1983\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t1\tOther\t2\t1\n100295\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t1500\tAssoc-V\t1\t2\tExec.\t6\t0\n100296\tM\tMarried\t1946\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t3\tSales\t4\t0\n100297\tM\tNeverM\t1984\tG: 130,000 - 149,999\t1500\t12th\t0\t1\t?\t1\t1\n100298\tM\tNeverM\t1973\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t2\tCrafts\t3\t0\n100299\tM\tNeverM\t1983\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t6-8\t?\t1\t1\n100301\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t9+\tCleric.\t7\t0\n100302\tM\tMarried\t1975\tJ: 190,000 - 249,999\t11000\t10th\t0\t3\tCrafts\t4\t1\n100303\tF\tDivorc.\t1964\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tOther\t4\t0\n100304\tF\tNeverM\t1973\tD: 70,000 - 89,999\t3000\tAssoc-A\t0\t2\tTechSup\t3\t0\n100305\tM\tMarried\t1972\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tExec.\t4\t0\n100306\tF\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tTransp.\t3\t1\n100307\tF\tNeverM\t1981\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tExec.\t2\t1\n100308\tF\tDivorc.\t1922\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tCleric.\t4\t0\n100309\tM\tMarried\t1951\tI: 170,000 - 189,999\t11000\tAssoc-A\t1\t3\tExec.\t8\t0\n100310\tM\tMarried\t1955\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t3\tCrafts\t6\t0\n100311\tF\tNeverM\t1973\tG: 130,000 - 149,999\t7000\tBach.\t0\t2\tSales\t4\t0\n100312\tM\tDivorc.\t1969\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t1\tCleric.\t3\t0\n100313\tM\tDivorc.\t1950\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t2\tSales\t7\t0\n100314\tM\tMarried\t1928\tI: 170,000 - 189,999\t15000\tHS-grad\t0\t3\tCrafts\t4\t0\n100315\tF\tSepar.\t1954\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t9+\tProf.\t5\t0\n100316\tF\tNeverM\t1976\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tCleric.\t3\t1\n100317\tM\tNeverM\t1959\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t6-8\tCrafts\t7\t0\n100318\tM\tDivorc.\t1962\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t9+\tCrafts\t3\t0\n100319\tM\tNeverM\t1982\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t2\tCleric.\t3\t1\n100320\tF\tNeverM\t1979\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tTechSup\t2\t1\n100321\tM\tNeverM\t1985\tL: 300,000 and above\t11000\t11th\t0\t1\tSales\t1\t1\n100322\tM\tMarried\t1959\tK: 250,000 - 299,999\t9000\tHS-grad\t1\t3\tSales\t4\t0\n100323\tM\tDivorc.\t1954\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t2\tProf.\t5\t0\n100324\tF\tMarried\t1964\tH: 150,000 - 169,999\t7000\tMasters\t0\t4-5\t?\t4\t0\n100325\tF\tDivorc.\t1969\tL: 300,000 and above\t9000\tBach.\t0\t9+\tProf.\t4\t0\n100326\tF\tDivorc.\t1963\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t9+\tCleric.\t2\t0\n100327\tF\tMarried\t1969\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t4-5\tOther\t3\t0\n100328\tM\tDivorc.\t1956\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t2\tCrafts\t5\t0\n100329\tM\tNeverM\t1979\tF: 110,000 - 129,999\t1500\t10th\t0\t9+\tCrafts\t4\t1\n100330\tF\tMarried\t1951\tE: 90,000 - 109,999\t5000\tMasters\t1\t4-5\t?\t5\t0\n100331\tF\tDivorc.\t1970\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t1\tCleric.\t3\t0\n100332\tM\tMarried\t1941\tI: 170,000 - 189,999\t9000\tBach.\t0\t3\t?\t6\t0\n100333\tM\tMarried\t1952\tL: 300,000 and above\t11000\t9th\t0\t3\tFarming\t5\t0\n100334\tM\tMarried\t1945\tC: 50,000 - 69,999\t5000\tBach.\t0\t3\t?\t10\t0\n100335\tF\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tCleric.\t1\t1\n100336\tM\tNeverM\t1969\tE: 90,000 - 109,999\t9000\tBach.\t0\t9+\tCrafts\t3\t0\n100337\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t7000\t7th-8th\t0\t2\t?\t2\t1\n100338\tF\tWidowed\t1945\tH: 150,000 - 169,999\t1500\tHS-grad\t1\t2\tSales\t6\t0\n100339\tM\tMarried\t1966\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tExec.\t5\t0\n100340\tM\tNeverM\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t2\tFarming\t4\t1\n100341\tM\tNeverM\t1975\tL: 300,000 and above\t15000\tBach.\t0\t6-8\tProf.\t4\t1\n100342\tM\tNeverM\t1979\tD: 70,000 - 89,999\t1500\tBach.\t0\t2\tExec.\t2\t1\n100343\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t3\tExec.\t4\t0\n100344\tM\tMarried\t1967\tH: 150,000 - 169,999\t10000\tBach.\t0\t3\tProf.\t5\t0\n100345\tM\tMarried\t1955\tI: 170,000 - 189,999\t5000\tAssoc-A\t0\t3\tMachine\t5\t0\n100346\tM\tDivorc.\t1974\tI: 170,000 - 189,999\t3000\t< Bach.\t0\t1\t?\t3\t1\n100347\tF\tNeverM\t1974\tK: 250,000 - 299,999\t11000\t5th-6th\t0\t6-8\tOther\t3\t1\n100348\tM\tNeverM\t1977\tG: 130,000 - 149,999\t9000\tBach.\t0\t2\tProf.\t3\t1\n100349\tF\tNeverM\t1979\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tTechSup\t1\t1\n100350\tM\tMarried\t1961\tB: 30,000 - 49,999\t1500\tAssoc-A\t1\t3\tSales\t5\t0\n100351\tM\tMarried\t1956\tK: 250,000 - 299,999\t7000\t7th-8th\t0\t3\tCrafts\t5\t0\n100352\tF\tDivorc.\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tCrafts\t4\t0\n100353\tM\tNeverM\t1978\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tOther\t1\t1\n100354\tF\tMarried\t1961\tL: 300,000 and above\t9000\t< Bach.\t0\t4-5\tFarming\t5\t0\n100355\tM\tMarried\t1961\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t6\t0\n100356\tF\tMarried\t1980\tH: 150,000 - 169,999\t7000\t< Bach.\t0\t4-5\tExec.\t2\t1\n100357\tM\tNeverM\t1964\tL: 300,000 and above\t11000\t< Bach.\t0\t2\tExec.\t5\t0\n100358\tF\tDivorc.\t1976\tL: 300,000 and above\t9000\t< Bach.\t0\t9+\tSales\t3\t1\n100359\tM\tDivorc.\t1964\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tSales\t5\t0\n100360\tM\tNeverM\t1981\tH: 150,000 - 169,999\t3000\t9th\t0\t9+\tMachine\t2\t1\n100361\tF\tMarried\t1969\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t4-5\tCleric.\t2\t0\n100362\tF\tNeverM\t1982\tL: 300,000 and above\t7000\t< Bach.\t0\t1\tOther\t2\t1\n100363\tM\tMarried\t1936\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\t?\t10\t0\n100364\tF\tDivorc.\t1970\tF: 110,000 - 129,999\t1500\t10th\t0\t9+\tOther\t4\t0\n100365\tF\tDivorc.\t1967\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tProf.\t4\t0\n100366\tF\tDivorc.\t1957\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tTechSup\t3\t0\n100367\tF\tDivorc.\t1963\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t2\tOther\t5\t0\n100368\tM\tMarried\t1972\tL: 300,000 and above\t9000\t< Bach.\t1\t3\tExec.\t3\t0\n100369\tF\tDivorc.\t1972\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t2\tCleric.\t3\t0\n100370\tM\tNeverM\t1974\tH: 150,000 - 169,999\t5000\tAssoc-V\t0\t2\tMachine\t3\t1\n100371\tF\tMarried\t1967\tH: 150,000 - 169,999\t3000\tBach.\t1\t4-5\tProf.\t4\t0\n100372\tM\tMarried\t1945\tI: 170,000 - 189,999\t3000\t< Bach.\t1\t3\tExec.\t10\t0\n100373\tF\tSepar.\t1947\tA: Below 30,000\t1500\t11th\t0\t2\tMachine\t6\t0\n100374\tM\tNeverM\t1979\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t2\tSales\t2\t1\n100375\tF\tDivorc.\t1965\tL: 300,000 and above\t9000\t< Bach.\t0\t9+\tCleric.\t4\t0\n100376\tF\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tBach.\t1\t4-5\tCleric.\t5\t0\n100377\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tProf.\t4\t0\n100378\tM\tMarried\t1960\tB: 30,000 - 49,999\t3000\tAssoc-A\t0\t3\tTechSup\t4\t0\n100379\tF\tWidowed\t1961\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t9+\tTransp.\t4\t0\n100380\tM\tNeverM\t1967\tL: 300,000 and above\t9000\tBach.\t0\t1\tTechSup\t4\t0\n100381\tM\tNeverM\t1983\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tOther\t2\t1\n100382\tM\tMabsent\t1926\tD: 70,000 - 89,999\t1500\t7th-8th\t1\t2\tCleric.\t4\t0\n100383\tF\tMarried\t1974\tG: 130,000 - 149,999\t7000\t7th-8th\t0\t4-5\tOther\t3\t1\n100384\tM\tDivorc.\t1971\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t9+\tMachine\t3\t0\n100385\tM\tMarried\t1980\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n100386\tM\tMarried\t1966\tE: 90,000 - 109,999\t3000\tHS-grad\t0\t3\tHandler\t4\t0\n100387\tM\tMarried\t1958\tK: 250,000 - 299,999\t7000\t7th-8th\t0\t3\tCrafts\t1\t0\n100388\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t3000\tMasters\t0\t2\tProf.\t4\t0\n100389\tF\tMarried\t1965\tF: 110,000 - 129,999\t5000\tHS-grad\t1\t4-5\tCleric.\t4\t0\n100390\tM\tMarried\t1950\tD: 70,000 - 89,999\t5000\tMasters\t1\t3\tProf.\t5\t0\n100391\tM\tNeverM\t1976\tL: 300,000 and above\t7000\tMasters\t0\t2\tProf.\t1\t1\n100392\tF\tNeverM\t1975\tH: 150,000 - 169,999\t7000\t< Bach.\t0\t1\t?\t3\t1\n100393\tF\tDivorc.\t1958\tJ: 190,000 - 249,999\t10000\tMasters\t0\t2\tProf.\t5\t0\n100394\tM\tMarried\t1954\tF: 110,000 - 129,999\t7000\t9th\t0\t3\tOther\t5\t0\n100395\tF\tMarried\t1943\tH: 150,000 - 169,999\t10000\tHS-grad\t1\t4-5\tOther\t6\t0\n100396\tF\tDivorc.\t1956\tG: 130,000 - 149,999\t15000\t< Bach.\t0\t2\tCleric.\t7\t0\n100397\tM\tMarried\t1969\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t3\tProtec.\t3\t0\n100398\tM\tMarried\t1968\tD: 70,000 - 89,999\t15000\tBach.\t0\t3\tOther\t4\t0\n100399\tF\tDivorc.\t1958\tF: 110,000 - 129,999\t3000\tMasters\t0\t9+\tProf.\t6\t0\n100401\tF\tDivorc.\t1958\tD: 70,000 - 89,999\t15000\tHS-grad\t0\t2\tExec.\t6\t0\n100402\tF\tNeverM\t1982\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t9+\tSales\t2\t1\n100403\tM\tMarried\t1974\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t3\tTransp.\t3\t1\n100404\tM\tMarried\t1949\tF: 110,000 - 129,999\t5000\tBach.\t1\t3\tExec.\t5\t0\n100405\tF\tMarried\t1961\tE: 90,000 - 109,999\t9000\tHS-grad\t1\t4-5\tMachine\t4\t0\n100406\tM\tMarried\t1955\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t5\t0\n100407\tM\tMarried\t1974\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tMachine\t3\t1\n100408\tM\tMarried\t1963\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t3\tSales\t6\t0\n100409\tF\tWidowed\t1954\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tOther\t6\t0\n100410\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\t10th\t0\t2\tTransp.\t4\t1\n100411\tM\tDivorc.\t1967\tL: 300,000 and above\t15000\tAssoc-V\t0\t2\tCrafts\t4\t0\n100412\tM\tNeverM\t1979\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t2\t1\n100413\tM\tMarried\t1972\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t3\tCrafts\t3\t0\n100414\tM\tMarried\t1975\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tMachine\t3\t1\n100415\tM\tMarried\t1943\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t3\tTransp.\t8\t0\n100416\tF\tNeverM\t1977\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tOther\t3\t1\n100417\tM\tNeverM\t1985\tB: 30,000 - 49,999\t1500\t11th\t0\t1\tHandler\t1\t1\n100418\tM\tMarried\t1943\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t3\tSales\t8\t0\n100419\tM\tNeverM\t1982\tF: 110,000 - 129,999\t10000\t< Bach.\t0\t1\tTechSup\t1\t1\n100420\tM\tMarried\t1955\tG: 130,000 - 149,999\t7000\tHS-grad\t1\t3\tMachine\t5\t0\n100421\tM\tMarried\t1974\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tExec.\t4\t1\n100422\tF\tMarried\t1939\tL: 300,000 and above\t7000\tAssoc-V\t0\t4-5\t?\t3\t0\n100423\tF\tSepar.\t1956\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tProf.\t5\t0\n100424\tM\tMarried\t1977\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tProtec.\t3\t1\n100425\tM\tMarried\t1941\tI: 170,000 - 189,999\t5000\tBach.\t1\t3\tExec.\t6\t0\n100426\tF\tNeverM\t1971\tG: 130,000 - 149,999\t10000\tHS-grad\t0\t2\tExec.\t3\t0\n100427\tM\tNeverM\t1978\tE: 90,000 - 109,999\t5000\t< Bach.\t0\t1\tCleric.\t3\t1\n100428\tM\tNeverM\t1985\tL: 300,000 and above\t7000\tHS-grad\t0\t1\tOther\t1\t1\n100429\tM\tNeverM\t1963\tF: 110,000 - 129,999\t3000\tAssoc-V\t0\t2\tProf.\t4\t0\n100430\tF\tNeverM\t1954\tB: 30,000 - 49,999\t5000\tProfsc\t1\t2\tProf.\t7\t0\n100431\tM\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tCrafts\t7\t0\n100432\tM\tNeverM\t1978\tI: 170,000 - 189,999\t10000\tBach.\t0\t1\tProf.\t3\t1\n100433\tF\tWidowed\t1938\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t2\tCleric.\t7\t0\n100434\tM\tDivorc.\t1965\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tOther\t4\t0\n100435\tM\tDivorc.\t1982\tB: 30,000 - 49,999\t1500\tHS-grad\t0\t6-8\tMachine\t2\t1\n100436\tM\tDivorc.\t1955\tB: 30,000 - 49,999\t1500\tMasters\t0\t2\tProtec.\t8\t0\n100437\tM\tMarried\t1938\tE: 90,000 - 109,999\t1500\tHS-grad\t1\t3\tExec.\t7\t0\n100438\tF\tMarried\t1963\tJ: 190,000 - 249,999\t9000\tPhD\t1\t4-5\tProf.\t3\t0\n100439\tF\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tProf.\t2\t1\n100440\tM\tMarried\t1970\tH: 150,000 - 169,999\t3000\tHS-grad\t0\t3\tCrafts\t3\t0\n100441\tM\tMarried\t1966\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100442\tM\tMarried\t1945\tL: 300,000 and above\t7000\tProfsc\t1\t3\tProf.\t7\t0\n100443\tM\tMarried\t1950\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tCrafts\t7\t0\n100444\tM\tMarried\t1979\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t3\tHandler\t2\t1\n100445\tM\tMarried\t1944\tL: 300,000 and above\t7000\t9th\t0\t3\tOther\t4\t0\n100446\tM\tMarried\t1954\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tProf.\t5\t0\n100447\tM\tNeverM\t1983\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tCleric.\t3\t1\n100448\tM\tMarried\t1971\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t3\tTechSup\t3\t0\n100449\tF\tDivorc.\t1960\tB: 30,000 - 49,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n100450\tM\tMarried\t1947\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t3\tOther\t6\t0\n100451\tM\tMarried\t1983\tL: 300,000 and above\t7000\tHS-grad\t0\t3\tCrafts\t2\t1\n100452\tF\tNeverM\t1968\tL: 300,000 and above\t9000\t12th\t0\t9+\tMachine\t4\t0\n100453\tM\tNeverM\t1985\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t1\tHandler\t1\t1\n100454\tF\tNeverM\t1984\tE: 90,000 - 109,999\t1500\t< Bach.\t0\t1\tProf.\t2\t1\n100455\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t2\tOther\t2\t1\n100456\tM\tDivorc.\t1959\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t2\tSales\t6\t0\n100457\tM\tNeverM\t1976\tL: 300,000 and above\t9000\tAssoc-V\t0\t6-8\tProf.\t2\t1\n100458\tM\tNeverM\t1982\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tSales\t2\t1\n100459\tM\tMarried\t1971\tL: 300,000 and above\t7000\tAssoc-A\t0\t3\tProtec.\t4\t0\n100460\tM\tNeverM\t1978\tE: 90,000 - 109,999\t10000\t< Bach.\t0\t1\tCrafts\t4\t1\n100461\tM\tNeverM\t1981\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\tOther\t1\t1\n100462\tM\tDivorc.\t1961\tI: 170,000 - 189,999\t9000\t< Bach.\t0\t9+\tCrafts\t4\t0\n100463\tF\tNeverM\t1974\tG: 130,000 - 149,999\t10000\t< Bach.\t0\t1\tSales\t3\t1\n100464\tM\tMarried\t1961\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t3\tSales\t4\t0\n100465\tM\tMarried\t1978\tF: 110,000 - 129,999\t9000\tAssoc-A\t0\t3\tHandler\t3\t1\n100466\tM\tMarried\t1959\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t3\tCrafts\t4\t0\n100467\tF\tNeverM\t1971\tE: 90,000 - 109,999\t9000\tHS-grad\t0\t2\tHandler\t3\t0\n100468\tM\tNeverM\t1978\tH: 150,000 - 169,999\t1500\tBach.\t0\t2\tExec.\t3\t1\n100469\tF\tNeverM\t1977\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t1\tOther\t3\t1\n100470\tM\tMarried\t1940\tD: 70,000 - 89,999\t10000\tHS-grad\t0\t3\tFarming\t8\t0\n100471\tM\tMarried\t1954\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t5\t0\n100472\tM\tMarried\t1973\tB: 30,000 - 49,999\t3000\tBach.\t0\t3\tProf.\t6\t0\n100473\tF\tWidowed\t1955\tL: 300,000 and above\t9000\tHS-grad\t0\t9+\tOther\t5\t0\n100474\tF\tWidowed\t1938\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\t?\t7\t0\n100475\tF\tNeverM\t1980\tI: 170,000 - 189,999\t15000\tHS-grad\t0\t1\tOther\t3\t1\n100476\tM\tMarried\t1952\tL: 300,000 and above\t15000\tMasters\t1\t3\tExec.\t6\t0\n100477\tM\tMarried\t1974\tH: 150,000 - 169,999\t7000\tAssoc-V\t0\t3\tProf.\t3\t1\n100478\tM\tMarried\t1949\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tSales\t7\t0\n100479\tM\tMarried\t1962\tJ: 190,000 - 249,999\t15000\tHS-grad\t1\t3\tExec.\t4\t0\n100480\tM\tMarried\t1970\tI: 170,000 - 189,999\t9000\t10th\t0\t3\tMachine\t3\t0\n100481\tM\tSepar.\t1958\tJ: 190,000 - 249,999\t15000\tPhD\t1\t9+\tExec.\t5\t0\n100482\tM\tMarried\t1959\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tCrafts\t4\t0\n100483\tM\tMabsent\t1969\tL: 300,000 and above\t11000\tHS-grad\t0\t2\tHandler\t3\t0\n100484\tF\tNeverM\t1979\tI: 170,000 - 189,999\t11000\t12th\t0\t1\tOther\t2\t1\n100485\tM\tNeverM\t1985\tF: 110,000 - 129,999\t10000\t12th\t0\t1\tHandler\t1\t1\n100486\tF\tMarried\t1968\tE: 90,000 - 109,999\t7000\tMasters\t1\t4-5\tProf.\t4\t0\n100487\tM\tNeverM\t1980\tG: 130,000 - 149,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n100488\tM\tNeverM\t1957\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tTransp.\t6\t0\n100489\tF\tNeverM\t1978\tI: 170,000 - 189,999\t1500\tAssoc-A\t0\t1\tTechSup\t3\t1\n100490\tM\tMarried\t1964\tK: 250,000 - 299,999\t15000\t< Bach.\t0\t3\tHandler\t5\t0\n100491\tM\tMarried\t1949\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tTransp.\t7\t0\n100492\tF\tNeverM\t1983\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tCleric.\t2\t1\n100493\tM\tNeverM\t1968\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t2\tCleric.\t4\t0\n100494\tM\tMarried\t1955\tK: 250,000 - 299,999\t11000\tBach.\t1\t3\tExec.\t5\t0\n100495\tF\tNeverM\t1971\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t9+\tMachine\t3\t0\n100496\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tExec.\t8\t0\n100497\tM\tMarried\t1968\tI: 170,000 - 189,999\t11000\tHS-grad\t1\t3\tFarming\t7\t0\n100498\tM\tNeverM\t1973\tL: 300,000 and above\t11000\t11th\t1\t2\tCrafts\t4\t0\n100499\tM\tMarried\t1945\tG: 130,000 - 149,999\t5000\tAssoc-A\t0\t3\tCrafts\t6\t0\n100501\tM\tNeverM\t1979\tL: 300,000 and above\t9000\tHS-grad\t0\t6-8\tExec.\t3\t1\n100502\tM\tMarried\t1968\tC: 50,000 - 69,999\t3000\tAssoc-V\t0\t3\tCrafts\t4\t0\n100503\tM\tNeverM\t1977\tE: 90,000 - 109,999\t1500\tAssoc-A\t0\t2\tSales\t3\t1\n100504\tF\tNeverM\t1984\tA: Below 30,000\t1500\t< Bach.\t0\t1\t?\t2\t1\n100505\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t2\tOther\t2\t1\n100506\tM\tNeverM\t1970\tK: 250,000 - 299,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100507\tM\tMarried\t1970\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tProf.\t3\t0\n100508\tM\tMarried\t1957\tL: 300,000 and above\t15000\tBach.\t0\t3\tTechSup\t5\t0\n100509\tM\tNeverM\t1979\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t1\tHandler\t2\t1\n100510\tM\tMarried\t1962\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tCrafts\t4\t0\n100511\tM\tDivorc.\t1959\tL: 300,000 and above\t7000\t< Bach.\t1\t1\tSales\t6\t0\n100512\tM\tNeverM\t1958\tH: 150,000 - 169,999\t10000\tMasters\t1\t2\tProf.\t6\t0\n100513\tM\tMarried\t1973\tE: 90,000 - 109,999\t5000\tBach.\t1\t3\tSales\t4\t0\n100514\tF\tNeverM\t1979\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t1\tSales\t2\t1\n100515\tF\tNeverM\t1974\tD: 70,000 - 89,999\t9000\tProfsc\t0\t2\tProf.\t4\t1\n100516\tM\tMarried\t1966\tE: 90,000 - 109,999\t10000\t10th\t0\t3\tTransp.\t6\t0\n100517\tM\tDivorc.\t1953\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t2\tCrafts\t8\t0\n100518\tF\tWidowed\t1948\tG: 130,000 - 149,999\t5000\t10th\t0\t9+\tCrafts\t6\t0\n100519\tM\tNeverM\t1973\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t2\tSales\t4\t0\n100520\tM\tMarried\t1949\tI: 170,000 - 189,999\t1500\t< Bach.\t0\t3\tTransp.\t4\t0\n100521\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100522\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\tHS-grad\t1\t3\tExec.\t4\t0\n100523\tF\tMarried\t1962\tK: 250,000 - 299,999\t7000\t< Bach.\t1\t4-5\tTransp.\t4\t0\n100524\tM\tMarried\t1970\tL: 300,000 and above\t11000\t< Bach.\t0\t3\tMachine\t5\t0\n100525\tM\tMarried\t1952\tJ: 190,000 - 249,999\t15000\tBach.\t0\t3\tExec.\t8\t0\n100526\tM\tNeverM\t1968\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n100527\tM\tMarried\t1966\tB: 30,000 - 49,999\t1500\tHS-grad\t1\t3\tProf.\t5\t0\n100528\tM\tMarried\t1946\tL: 300,000 and above\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n100529\tF\tSepar.\t1954\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t9+\tMachine\t5\t0\n100530\tF\tNeverM\t1954\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t9+\tTransp.\t5\t0\n100531\tF\tNeverM\t1980\tL: 300,000 and above\t15000\tBach.\t0\t1\tSales\t2\t1\n100532\tM\tMarried\t1948\tH: 150,000 - 169,999\t5000\tHS-grad\t1\t3\tFarming\t6\t0\n100533\tF\tWidowed\t1967\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t1\tProf.\t4\t0\n100534\tM\tDivorc.\t1949\tH: 150,000 - 169,999\t10000\tBach.\t0\t2\tExec.\t7\t0\n100535\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t1\tOther\t1\t1\n100536\tF\tNeverM\t1984\tG: 130,000 - 149,999\t1500\tHS-grad\t0\t1\tMachine\t1\t1\n100537\tF\tWidowed\t1928\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tCleric.\t8\t0\n100538\tF\tDivorc.\t1958\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tCleric.\t5\t0\n100539\tF\tNeverM\t1970\tH: 150,000 - 169,999\t10000\tMasters\t0\t2\tProf.\t4\t0\n100540\tM\tNeverM\t1954\tB: 30,000 - 49,999\t1500\tMasters\t1\t2\tProf.\t5\t0\n100541\tM\tMarried\t1961\tK: 250,000 - 299,999\t9000\tHS-grad\t1\t3\tMachine\t5\t0\n100542\tF\tSepar.\t1965\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t2\tExec.\t5\t0\n100543\tM\tNeverM\t1984\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t1\tFarming\t2\t1\n100544\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tMasters\t1\t3\tExec.\t5\t0\n100545\tM\tNeverM\t1979\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tOther\t2\t1\n100546\tF\tWidowed\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tExec.\t6\t0\n100547\tF\tMarried\t1983\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t1\tProf.\t2\t1\n100548\tF\tDivorc.\t1976\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tExec.\t3\t1\n100549\tM\tMarried\t1977\tG: 130,000 - 149,999\t10000\tBach.\t0\t3\tExec.\t1\t1\n100550\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tCrafts\t3\t1\n100551\tF\tMabsent\t1964\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t9+\tSales\t3\t0\n100552\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t15000\tAssoc-A\t0\t1\t?\t5\t1\n100553\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t1\t3\tOther\t3\t0\n100554\tM\tMarried\t1958\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tExec.\t6\t0\n100555\tM\tNeverM\t1979\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t6-8\tSales\t2\t1\n100556\tM\tMarried\t1975\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t3\tProtec.\t4\t1\n100557\tF\tDivorc.\t1974\tB: 30,000 - 49,999\t3000\tAssoc-A\t0\t2\tCleric.\t3\t1\n100558\tM\tMarried\t1964\tJ: 190,000 - 249,999\t11000\tAssoc-V\t1\t3\tMachine\t4\t0\n100559\tM\tDivorc.\t1952\tB: 30,000 - 49,999\t3000\tHS-grad\t0\t2\tProf.\t5\t0\n100560\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tSales\t5\t0\n100561\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tCleric.\t4\t0\n100562\tF\tDivorc.\t1957\tL: 300,000 and above\t7000\tHS-grad\t0\t2\tCleric.\t5\t0\n100563\tM\tDivorc.\t1958\tI: 170,000 - 189,999\t5000\tBach.\t0\t2\tProf.\t6\t0\n100564\tF\tNeverM\t1936\tJ: 190,000 - 249,999\t11000\tPhD\t1\t2\tProf.\t8\t0\n100565\tF\tDivorc.\t1967\tK: 250,000 - 299,999\t9000\t< Bach.\t0\t9+\tOther\t4\t0\n100566\tF\tDivorc.\t1943\tH: 150,000 - 169,999\t1500\t7th-8th\t0\t9+\tMachine\t6\t0\n100567\tM\tNeverM\t1980\tF: 110,000 - 129,999\t10000\tBach.\t0\t1\t?\t3\t1\n100568\tF\tNeverM\t1983\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t1\tOther\t1\t1\n100569\tM\tMarried\t1966\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tSales\t6\t0\n100570\tM\tSepar.\t1948\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t9+\tHandler\t6\t0\n100571\tF\tMarried\t1970\tI: 170,000 - 189,999\t9000\tHS-grad\t0\t4-5\tCleric.\t2\t0\n100572\tF\tSepar.\t1959\tJ: 190,000 - 249,999\t9000\tBach.\t0\t9+\tMachine\t1\t0\n100573\tM\tMarried\t1944\tI: 170,000 - 189,999\t11000\tBach.\t1\t3\tExec.\t9\t0\n100574\tF\tNeverM\t1961\tL: 300,000 and above\t11000\tMasters\t1\t2\tProf.\t5\t0\n100575\tF\tWidowed\t1951\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n100576\tM\tNeverM\t1963\tF: 110,000 - 129,999\t5000\tBach.\t0\t1\tSales\t4\t0\n100577\tM\tMarried\t1957\tH: 150,000 - 169,999\t7000\tBach.\t1\t3\tMachine\t5\t0\n100578\tM\tSepar.\t1938\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t2\tProtec.\t3\t0\n100579\tF\tMarried\t1947\tE: 90,000 - 109,999\t7000\t10th\t1\t4-5\tSales\t4\t0\n100580\tF\tDivorc.\t1958\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t2\tExec.\t5\t0\n100581\tF\tNeverM\t1976\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t2\tExec.\t3\t1\n100582\tM\tMarried\t1969\tH: 150,000 - 169,999\t15000\tHS-grad\t0\t3\tCrafts\t3\t0\n100583\tM\tMarried\t1979\tG: 130,000 - 149,999\t1500\t< Bach.\t0\t3\tTechSup\t2\t1\n100584\tM\tMarried\t1970\tL: 300,000 and above\t11000\tBach.\t0\t1\tExec.\t5\t0\n100585\tM\tMarried\t1979\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tExec.\t3\t1\n100586\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t1\t1\n100587\tF\tDivorc.\t1952\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t9+\tCleric.\t5\t0\n100588\tM\tMarried\t1969\tE: 90,000 - 109,999\t5000\tBach.\t0\t3\tProf.\t3\t0\n100589\tM\tNeverM\t1980\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t1\tSales\t2\t1\n100590\tM\tMarried\t1978\tK: 250,000 - 299,999\t9000\tMasters\t0\t2\tMachine\t3\t1\n100591\tF\tWidowed\t1962\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t2\tSales\t4\t0\n100592\tM\tNeverM\t1970\tD: 70,000 - 89,999\t5000\tHS-grad\t0\t6-8\tTransp.\t3\t0\n100593\tM\tMarried\t1963\tG: 130,000 - 149,999\t1500\tHS-grad\t1\t3\tProf.\t4\t0\n100594\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t6-8\tSales\t1\t1\n100595\tM\tMarried\t1951\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t3\tCrafts\t5\t0\n100596\tM\tDivorc.\t1971\tJ: 190,000 - 249,999\t10000\tAssoc-V\t0\t9+\tSales\t4\t0\n100597\tM\tMarried\t1977\tC: 50,000 - 69,999\t7000\tBach.\t0\t3\tExec.\t4\t1\n100598\tM\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n100599\tM\tMarried\t1963\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t6-8\tOther\t4\t0\n100601\tM\tMarried\t1955\tC: 50,000 - 69,999\t3000\tProfsc\t1\t3\tProf.\t5\t0\n100602\tM\tNeverM\t1941\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t6\t0\n100603\tF\tNeverM\t1971\tE: 90,000 - 109,999\t7000\tBach.\t0\t2\tProf.\t4\t0\n100604\tM\tNeverM\t1981\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t1\tProf.\t2\t1\n100605\tM\tMarried\t1974\tL: 300,000 and above\t11000\tMasters\t0\t3\tProf.\t1\t1\n100606\tM\tNeverM\t1982\tL: 300,000 and above\t7000\tAssoc-A\t0\t1\t?\t1\t1\n100607\tM\tMarried\t1966\tK: 250,000 - 299,999\t9000\tProfsc\t1\t3\tProf.\t4\t0\n100608\tM\tNeverM\t1982\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t1\tCleric.\t2\t1\n100609\tM\tMarried\t1956\tI: 170,000 - 189,999\t10000\tProfsc\t1\t3\tSales\t6\t0\n100610\tF\tDivorc.\t1975\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t9+\tTransp.\t1\t1\n100611\tF\tDivorc.\t1948\tE: 90,000 - 109,999\t10000\tHS-grad\t0\t2\tCleric.\t6\t0\n100612\tM\tMarried\t1974\tH: 150,000 - 169,999\t7000\tAssoc-A\t1\t3\tSales\t4\t1\n100613\tM\tDivorc.\t1950\tL: 300,000 and above\t11000\tHS-grad\t1\t2\tProf.\t7\t0\n100614\tM\tNeverM\t1986\tE: 90,000 - 109,999\t1500\t11th\t0\t1\tHandler\t0\t1\n100615\tF\tMabsent\t1955\tC: 50,000 - 69,999\t3000\tHS-grad\t0\t9+\t?\t4\t0\n100616\tM\tMarried\t1970\tI: 170,000 - 189,999\t10000\tBach.\t1\t3\tExec.\t4\t0\n100617\tF\tNeverM\t1985\tL: 300,000 and above\t11000\t10th\t0\t1\tHouse-s\t1\t1\n100618\tF\tDivorc.\t1950\tJ: 190,000 - 249,999\t9000\t7th-8th\t0\t9+\tMachine\t8\t0\n100619\tM\tMabsent\t1973\tF: 110,000 - 129,999\t7000\tHS-grad\t0\t9+\tSales\t3\t0\n100620\tM\tMarried\t1951\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t3\tExec.\t5\t0\n100621\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\tBach.\t0\t3\tExec.\t5\t0\n100622\tF\tNeverM\t1974\tF: 110,000 - 129,999\t7000\tBach.\t0\t1\tCleric.\t3\t1\n100623\tF\tNeverM\t1984\tL: 300,000 and above\t9000\t10th\t0\t1\tMachine\t2\t1\n100624\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tOther\t3\t0\n100625\tM\tDivorc.\t1972\tC: 50,000 - 69,999\t7000\t< Bach.\t0\t2\tCrafts\t5\t0\n100626\tM\tMarried\t1940\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\t?\t8\t0\n100627\tM\tNeverM\t1951\tE: 90,000 - 109,999\t10000\t5th-6th\t0\t2\tHandler\t7\t0\n100628\tF\tDivorc.\t1966\tK: 250,000 - 299,999\t15000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100629\tM\tMarried\t1958\tE: 90,000 - 109,999\t9000\tAssoc-V\t1\t3\tCrafts\t5\t0\n100630\tM\tNeverM\t1985\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t1\tOther\t2\t1\n100631\tF\tDivorc.\t1955\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t9+\t?\t4\t0\n100632\tM\tMarried\t1939\tH: 150,000 - 169,999\t3000\t7th-8th\t0\t3\tOther\t5\t0\n100633\tM\tMarried\t1963\tG: 130,000 - 149,999\t9000\tMasters\t1\t3\tExec.\t4\t0\n100634\tF\tNeverM\t1984\tI: 170,000 - 189,999\t1500\tHS-grad\t0\t2\tHandler\t2\t1\n100635\tM\tMarried\t1951\tA: Below 30,000\t1500\tAssoc-V\t1\t3\tExec.\t7\t0\n100636\tM\tDivorc.\t1963\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t2\tHandler\t4\t0\n100637\tF\tNeverM\t1980\tG: 130,000 - 149,999\t7000\t< Bach.\t0\t1\tSales\t1\t1\n100638\tF\tDivorc.\t1949\tF: 110,000 - 129,999\t5000\t< Bach.\t0\t2\tExec.\t5\t0\n100639\tF\tDivorc.\t1944\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t1\tOther\t3\t0\n100640\tF\tWidowed\t1970\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t9+\tSales\t3\t0\n100641\tM\tMarried\t1968\tC: 50,000 - 69,999\t3000\tBach.\t1\t3\tSales\t4\t0\n100642\tF\tNeverM\t1979\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tSales\t1\t1\n100643\tM\tNeverM\t1978\tC: 50,000 - 69,999\t7000\tBach.\t0\t2\tTechSup\t3\t1\n100644\tM\tMarried\t1953\tG: 130,000 - 149,999\t9000\tProfsc\t1\t3\tExec.\t6\t0\n100645\tM\tNeverM\t1963\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t2\tSales\t5\t0\n100646\tF\tWidowed\t1941\tG: 130,000 - 149,999\t1500\tBach.\t0\t9+\tTechSup\t2\t0\n100647\tF\tMarried\t1964\tK: 250,000 - 299,999\t11000\t9th\t0\t4-5\tOther\t3\t0\n100648\tF\tMarried\t1970\tF: 110,000 - 129,999\t3000\tBach.\t1\t4-5\tExec.\t3\t0\n100649\tF\tNeverM\t1972\tC: 50,000 - 69,999\t11000\t< Bach.\t0\t1\tCleric.\t2\t0\n100650\tM\tMarried\t1945\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tFarming\t4\t0\n100651\tM\tMarried\t1959\tG: 130,000 - 149,999\t9000\t< Bach.\t0\t3\tExec.\t4\t0\n100652\tF\tWidowed\t1930\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCleric.\t7\t0\n100653\tM\tMarried\t1962\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tTechSup\t5\t0\n100654\tM\tMarried\t1975\tD: 70,000 - 89,999\t9000\tHS-grad\t0\t3\tMachine\t3\t1\n100655\tM\tMarried\t1967\tL: 300,000 and above\t15000\tHS-grad\t1\t3\tSales\t4\t0\n100656\tM\tMarried\t1932\tJ: 190,000 - 249,999\t7000\t< Bach.\t0\t3\t?\t2\t0\n100657\tF\tNeverM\t1985\tD: 70,000 - 89,999\t1500\tHS-grad\t0\t1\tTechSup\t0\t1\n100658\tM\tSepar.\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t1\t9+\tCrafts\t2\t1\n100659\tF\tSepar.\t1977\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t9+\tSales\t1\t1\n100660\tM\tNeverM\t1962\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t5\t0\n100661\tF\tWidowed\t1931\tE: 90,000 - 109,999\t1500\tAssoc-V\t0\t2\tCleric.\t7\t0\n100662\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t3\tExec.\t6\t0\n100663\tF\tNeverM\t1971\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tOther\t2\t0\n100664\tF\tNeverM\t1981\tI: 170,000 - 189,999\t15000\t< Bach.\t0\t2\tMachine\t2\t1\n100665\tM\tMarried\t1945\tG: 130,000 - 149,999\t7000\tBach.\t0\t3\tOther\t6\t0\n100666\tM\tNeverM\t1978\tE: 90,000 - 109,999\t3000\t12th\t0\t1\tCrafts\t3\t1\n100667\tF\tNeverM\t1961\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t9+\tCleric.\t4\t0\n100668\tM\tMarried\t1963\tI: 170,000 - 189,999\t3000\tMasters\t1\t3\tExec.\t5\t0\n100669\tM\tMarried\t1969\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tFarming\t4\t0\n100670\tF\tNeverM\t1975\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t2\tTechSup\t3\t1\n100671\tM\tNeverM\t1979\tL: 300,000 and above\t11000\tBach.\t0\t2\tProf.\t2\t1\n100672\tM\tMarried\t1947\tF: 110,000 - 129,999\t9000\tHS-grad\t1\t3\tExec.\t8\t0\n100673\tM\tMarried\t1959\tE: 90,000 - 109,999\t5000\tAssoc-A\t0\t3\tProf.\t6\t0\n100674\tF\tNeverM\t1980\tC: 50,000 - 69,999\t7000\tAssoc-V\t0\t9+\tSales\t3\t1\n100675\tM\tNeverM\t1981\tJ: 190,000 - 249,999\t9000\tAssoc-A\t0\t1\tHandler\t1\t1\n100676\tF\tMarried\t1957\tK: 250,000 - 299,999\t11000\tBach.\t0\t4-5\tProf.\t8\t0\n100677\tM\tMarried\t1965\tE: 90,000 - 109,999\t9000\tBach.\t1\t3\tSales\t4\t0\n100678\tF\tNeverM\t1981\tL: 300,000 and above\t7000\tBach.\t0\t1\tCleric.\t2\t1\n100679\tM\tMarried\t1924\tH: 150,000 - 169,999\t7000\tHS-grad\t1\t3\t?\t8\t0\n100680\tM\tMabsent\t1954\tL: 300,000 and above\t11000\tHS-grad\t0\t2\t?\t9\t0\n100681\tM\tMarried\t1933\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\t?\t7\t0\n100682\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\tAssoc-A\t0\t1\tExec.\t2\t1\n100683\tM\tMarried\t1967\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n100684\tM\tNeverM\t1983\tH: 150,000 - 169,999\t1500\t< Bach.\t0\t1\tFarming\t1\t1\n100685\tM\tNeverM\t1961\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t2\tTechSup\t3\t0\n100686\tM\tMarried\t1957\tA: Below 30,000\t1500\tAssoc-V\t0\t3\tMachine\t5\t0\n100687\tM\tMarried\t1975\tE: 90,000 - 109,999\t9000\tBach.\t0\t3\tProf.\t3\t1\n100688\tF\tMarried\t1959\tL: 300,000 and above\t15000\tHS-grad\t0\t4-5\tHandler\t3\t0\n100689\tM\tNeverM\t1976\tB: 30,000 - 49,999\t1500\tAssoc-A\t0\t2\tOther\t3\t1\n100690\tF\tNeverM\t1986\tG: 130,000 - 149,999\t9000\t11th\t0\t1\tCleric.\t0\t1\n100691\tM\tMarried\t1967\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t3\tHandler\t4\t0\n100692\tM\tNeverM\t1962\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tProf.\t4\t0\n100693\tM\tMarried\t1967\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t3\tCrafts\t5\t0\n100694\tM\tMarried\t1926\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t3\tSales\t2\t0\n100695\tM\tNeverM\t1971\tL: 300,000 and above\t15000\tBach.\t0\t1\tProf.\t3\t0\n100696\tM\tMarried\t1971\tF: 110,000 - 129,999\t7000\tProfsc\t1\t3\tProf.\t3\t0\n100697\tM\tMarried\t1960\tG: 130,000 - 149,999\t11000\tHS-grad\t0\t3\tCrafts\t4\t0\n100698\tM\tMarried\t1960\tK: 250,000 - 299,999\t15000\tHS-grad\t1\t3\tExec.\t5\t0\n100699\tF\tWidowed\t1941\tA: Below 30,000\t1500\tHS-grad\t0\t2\tSales\t3\t0\n100701\tM\tMarried\t1956\tB: 30,000 - 49,999\t3000\tBach.\t1\t3\tExec.\t7\t0\n100702\tF\tNeverM\t1957\tE: 90,000 - 109,999\t10000\tBach.\t0\t2\tSales\t5\t0\n100703\tF\tDivorc.\t1976\tE: 90,000 - 109,999\t5000\t< Bach.\t0\t9+\tCrafts\t3\t1\n100704\tM\tMarried\t1962\tF: 110,000 - 129,999\t7000\t< Bach.\t1\t3\tProf.\t4\t0\n100705\tM\tMarried\t1968\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t3\tCrafts\t4\t0\n100706\tM\tDivorc.\t1936\tB: 30,000 - 49,999\t3000\t7th-8th\t0\t2\t?\t0\t0\n100707\tM\tMarried\t1974\tD: 70,000 - 89,999\t10000\t< Bach.\t0\t3\tTransp.\t3\t1\n100708\tF\tWidowed\t1944\tA: Below 30,000\t1500\tHS-grad\t0\t2\tHouse-s\t6\t0\n100709\tM\tMarried\t1959\tJ: 190,000 - 249,999\t11000\tBach.\t1\t3\tSales\t4\t0\n100710\tM\tMarried\t1945\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t3\t?\t4\t0\n100711\tF\tDivorc.\t1967\tH: 150,000 - 169,999\t5000\t< Bach.\t0\t9+\tCleric.\t4\t0\n100712\tM\tMarried\t1977\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t3\tSales\t3\t1\n100713\tM\tMarried\t1963\tK: 250,000 - 299,999\t9000\t7th-8th\t1\t3\tCrafts\t4\t0\n100714\tM\tMarried\t1961\tL: 300,000 and above\t9000\t10th\t0\t3\tCrafts\t4\t0\n100715\tF\tNeverM\t1976\tL: 300,000 and above\t15000\t< Bach.\t0\t2\tCleric.\t3\t1\n100716\tF\tWidowed\t1940\tH: 150,000 - 169,999\t1500\tBach.\t1\t2\t?\t6\t0\n100717\tM\tMarried\t1960\tH: 150,000 - 169,999\t11000\tHS-grad\t1\t3\tOther\t4\t0\n100718\tM\tMarried\t1970\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tTransp.\t3\t0\n100719\tF\tMarried\t1952\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t4-5\tExec.\t4\t0\n100720\tF\tDivorc.\t1971\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t9+\tOther\t3\t0\n100721\tM\tNeverM\t1961\tK: 250,000 - 299,999\t11000\tHS-grad\t1\t2\tSales\t6\t0\n100722\tM\tDivorc.\t1959\tJ: 190,000 - 249,999\t10000\tAssoc-V\t1\t2\tExec.\t4\t0\n100723\tF\tDivorc.\t1938\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t9+\tCleric.\t10\t0\n100724\tM\tNeverM\t1972\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t2\tCrafts\t4\t0\n100725\tF\tNeverM\t1983\tL: 300,000 and above\t9000\t< Bach.\t0\t2\tSales\t2\t1\n100726\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t1500\tAssoc-V\t1\t9+\tProf.\t7\t0\n100727\tF\tMarried\t1969\tH: 150,000 - 169,999\t7000\t< Bach.\t1\t4-5\t?\t1\t0\n100728\tF\tNeverM\t1985\tK: 250,000 - 299,999\t9000\tHS-grad\t0\t1\tSales\t2\t1\n100729\tM\tMarried\t1965\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t3\tOther\t4\t0\n100730\tM\tNeverM\t1986\tG: 130,000 - 149,999\t1500\t10th\t0\t1\tOther\t2\t1\n100731\tM\tDivorc.\t1944\tL: 300,000 and above\t9000\tPhD\t1\t9+\tProf.\t7\t0\n100732\tF\tMabsent\t1956\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t9+\tSales\t2\t0\n100733\tM\tMarried\t1935\tJ: 190,000 - 249,999\t7000\tMasters\t1\t3\tProf.\t7\t0\n100734\tM\tMarried\t1975\tL: 300,000 and above\t15000\tHS-grad\t0\t1\tCrafts\t3\t1\n100735\tF\tDivorc.\t1949\tA: Below 30,000\t1500\t10th\t0\t9+\tOther\t5\t0\n100736\tM\tNeverM\t1973\tI: 170,000 - 189,999\t9000\tBach.\t0\t1\tProf.\t3\t0\n100737\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t2\tSales\t2\t1\n100738\tM\tMarried\t1949\tH: 150,000 - 169,999\t10000\t< Bach.\t1\t3\tExec.\t5\t0\n100739\tM\tMarried\t1968\tI: 170,000 - 189,999\t9000\tHS-grad\t1\t3\tCrafts\t4\t0\n100740\tM\tMarried\t1959\tL: 300,000 and above\t9000\tHS-grad\t1\t3\tCrafts\t7\t0\n100741\tM\tDivorc.\t1966\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t2\tMachine\t5\t0\n100742\tF\tNeverM\t1985\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t1\tHandler\t1\t1\n100743\tF\tNeverM\t1982\tE: 90,000 - 109,999\t9000\t< Bach.\t0\t2\tCleric.\t1\t1\n100744\tF\tDivorc.\t1959\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t9+\tOther\t4\t0\n100745\tF\tNeverM\t1957\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t5\t0\n100746\tM\tMarried\t1961\tJ: 190,000 - 249,999\t15000\t7th-8th\t0\t3\tCrafts\t4\t0\n100747\tM\tMarried\t1971\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t3\tOther\t3\t0\n100748\tM\tMarried\t1976\tL: 300,000 and above\t9000\tBach.\t0\t6-8\tCrafts\t3\t1\n100749\tM\tMarried\t1964\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tCleric.\t4\t0\n100750\tM\tNeverM\t1952\tH: 150,000 - 169,999\t7000\tMasters\t1\t2\tProf.\t8\t0\n100751\tM\tMarried\t1960\tJ: 190,000 - 249,999\t7000\tHS-grad\t0\t3\tFarming\t4\t0\n100752\tM\tMarried\t1942\tB: 30,000 - 49,999\t3000\t< Bach.\t1\t3\tSales\t6\t0\n100753\tM\tMarried\t1969\tH: 150,000 - 169,999\t5000\t< Bach.\t1\t3\tCrafts\t3\t0\n100754\tM\tMarried\t1948\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t3\tProf.\t6\t0\n100755\tM\tNeverM\t1977\tK: 250,000 - 299,999\t11000\tBach.\t0\t2\tProf.\t3\t1\n100756\tM\tMarried\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t3\tTransp.\t9\t0\n100757\tM\tNeverM\t1976\tE: 90,000 - 109,999\t9000\tBach.\t0\t2\tCrafts\t3\t1\n100758\tM\tMarried\t1963\tF: 110,000 - 129,999\t7000\tAssoc-V\t1\t3\tCrafts\t4\t0\n100759\tM\tDivorc.\t1939\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tExec.\t10\t0\n100760\tM\tMarried\t1960\tJ: 190,000 - 249,999\t11000\tMasters\t1\t3\tExec.\t4\t0\n100761\tM\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tAssoc-A\t0\t6-8\tOther\t3\t0\n100762\tM\tMarried\t1954\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100763\tM\tMarried\t1974\tJ: 190,000 - 249,999\t9000\tBach.\t0\t3\tSales\t4\t1\n100764\tM\tSepar.\t1966\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCrafts\t4\t0\n100765\tM\tDivorc.\t1964\tL: 300,000 and above\t11000\t10th\t0\t1\tHandler\t4\t0\n100766\tF\tDivorc.\t1958\tL: 300,000 and above\t9000\tProfsc\t0\t9+\tProf.\t5\t0\n100767\tM\tMarried\t1944\tI: 170,000 - 189,999\t10000\t9th\t0\t3\tOther\t6\t0\n100768\tM\tSepar.\t1980\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t2\tOther\t2\t1\n100769\tF\tMarried\t1970\tB: 30,000 - 49,999\t1500\tBach.\t1\t4-5\tExec.\t3\t0\n100770\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tHS-grad\t0\t3\tTransp.\t4\t0\n100771\tF\tDivorc.\t1942\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t2\tCleric.\t6\t0\n100772\tF\tMarried\t1971\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t4-5\tCleric.\t2\t0\n100773\tF\tNeverM\t1981\tE: 90,000 - 109,999\t7000\t< Bach.\t0\t1\tCleric.\t2\t1\n100774\tF\tNeverM\t1983\tF: 110,000 - 129,999\t1500\t< Bach.\t0\t1\t?\t2\t1\n100775\tM\tMarried\t1967\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t3\tCrafts\t4\t0\n100776\tM\tMarried\t1966\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t3\tOther\t2\t0\n100777\tM\tMarried\t1972\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTransp.\t5\t0\n100778\tM\tMarried\t1952\tI: 170,000 - 189,999\t1500\tBach.\t1\t3\tProf.\t5\t0\n100779\tM\tMarried\t1950\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t3\tCrafts\t9\t0\n100780\tM\tMarried\t1959\tI: 170,000 - 189,999\t10000\tProfsc\t1\t3\tExec.\t7\t0\n100781\tM\tSepar.\t1962\tH: 150,000 - 169,999\t1500\tAssoc-A\t0\t2\tCrafts\t5\t0\n100782\tF\tNeverM\t1975\tK: 250,000 - 299,999\t15000\tProfsc\t0\t2\tProf.\t4\t1\n100783\tM\tMarried\t1969\tK: 250,000 - 299,999\t7000\t11th\t0\t3\tCrafts\t3\t0\n100784\tM\tNeverM\t1975\tL: 300,000 and above\t11000\tHS-grad\t0\t6-8\tCleric.\t3\t1\n100785\tF\tNeverM\t1981\tL: 300,000 and above\t9000\tHS-grad\t0\t1\tSales\t2\t1\n100786\tM\tMarried\t1971\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tTransp.\t3\t0\n100787\tM\tMarried\t1980\tE: 90,000 - 109,999\t7000\t5th-6th\t0\t3\tHandler\t2\t1\n100788\tF\tNeverM\t1974\tL: 300,000 and above\t9000\tBach.\t0\t1\tSales\t3\t1\n100789\tM\tDivorc.\t1959\tF: 110,000 - 129,999\t9000\tHS-grad\t0\t9+\tCrafts\t4\t0\n100790\tM\tMarried\t1942\tG: 130,000 - 149,999\t1500\t7th-8th\t0\t3\tTransp.\t5\t0\n100791\tF\tMarried\t1960\tI: 170,000 - 189,999\t3000\tMasters\t1\t4-5\tExec.\t3\t0\n100792\tF\tMarried\t1952\tJ: 190,000 - 249,999\t15000\t< Bach.\t1\t4-5\tTechSup\t5\t0\n100793\tM\tMarried\t1965\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tSales\t5\t0\n100794\tF\tNeverM\t1976\tK: 250,000 - 299,999\t7000\t< Bach.\t0\t1\tOther\t2\t1\n100795\tM\tMarried\t1956\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tCrafts\t5\t0\n100796\tM\tMarried\t1959\tI: 170,000 - 189,999\t1500\tHS-grad\t1\t3\tCrafts\t4\t0\n100797\tM\tMabsent\t1970\tL: 300,000 and above\t15000\tHS-grad\t0\t2\tSales\t2\t0\n100798\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tProtec.\t4\t0\n100799\tM\tNeverM\t1977\tG: 130,000 - 149,999\t7000\tHS-grad\t0\t1\tCrafts\t3\t1\n100801\tM\tNeverM\t1986\tK: 250,000 - 299,999\t9000\t10th\t0\t1\tOther\t1\t1\n100802\tF\tSepar.\t1974\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t9+\tCleric.\t3\t1\n100803\tM\tMarried\t1946\tK: 250,000 - 299,999\t11000\t11th\t0\t3\tOther\t7\t0\n100804\tF\tDivorc.\t1943\tA: Below 30,000\t1500\t< Bach.\t0\t2\tProf.\t6\t0\n100805\tF\tNeverM\t1959\tL: 300,000 and above\t7000\tBach.\t0\t2\tProf.\t6\t0\n100806\tM\tMarried\t1961\tF: 110,000 - 129,999\t3000\tHS-grad\t0\t3\tHandler\t4\t0\n100807\tF\tDivorc.\t1965\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t9+\tProf.\t4\t0\n100808\tM\tDivorc.\t1973\tE: 90,000 - 109,999\t5000\tHS-grad\t0\t9+\tMachine\t3\t0\n100809\tM\tMarried\t1953\tL: 300,000 and above\t11000\tBach.\t1\t3\tSales\t8\t0\n100810\tF\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tCleric.\t2\t1\n100811\tF\tWidowed\t1938\tI: 170,000 - 189,999\t11000\t10th\t0\t2\tSales\t3\t0\n100812\tM\tMarried\t1963\tE: 90,000 - 109,999\t9000\t< Bach.\t1\t3\tTechSup\t5\t0\n100813\tF\tDivorc.\t1959\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t6-8\tExec.\t6\t0\n100814\tM\tDivorc.\t1959\tD: 70,000 - 89,999\t3000\tHS-grad\t0\t2\tCrafts\t4\t0\n100815\tM\tMarried\t1946\tJ: 190,000 - 249,999\t11000\tMasters\t0\t3\tProf.\t9\t0\n100816\tF\tMarried\t1962\tJ: 190,000 - 249,999\t11000\tMasters\t1\t4-5\tExec.\t4\t0\n100817\tM\tMarried\t1932\tG: 130,000 - 149,999\t5000\tMasters\t1\t3\tSales\t7\t0\n100818\tM\tMarried\t1957\tK: 250,000 - 299,999\t7000\tBach.\t1\t3\tTransp.\t5\t0\n100819\tM\tNeverM\t1984\tL: 300,000 and above\t11000\t11th\t0\t1\tOther\t1\t1\n100820\tF\tNeverM\t1980\tG: 130,000 - 149,999\t5000\t< Bach.\t0\t1\tMachine\t2\t1\n100821\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tBach.\t0\t2\tOther\t2\t1\n100822\tM\tDivorc.\t1962\tL: 300,000 and above\t9000\tMasters\t1\t9+\tSales\t1\t0\n100823\tM\tMabsent\t1947\tE: 90,000 - 109,999\t9000\tAssoc-A\t0\t2\tOther\t4\t0\n100824\tF\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t9+\tTechSup\t3\t1\n100825\tF\tNeverM\t1980\tC: 50,000 - 69,999\t5000\tBach.\t0\t2\tProtec.\t2\t1\n100826\tF\tNeverM\t1983\tF: 110,000 - 129,999\t7000\t< Bach.\t0\t1\tSales\t2\t1\n100827\tM\tMarried\t1945\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t3\tCleric.\t6\t0\n100828\tF\tDivorc.\t1955\tI: 170,000 - 189,999\t9000\t9th\t0\t2\tSales\t5\t0\n100829\tF\tWidowed\t1961\tJ: 190,000 - 249,999\t11000\tAssoc-V\t0\t9+\tProf.\t4\t0\n100830\tF\tNeverM\t1986\tL: 300,000 and above\t11000\t11th\t0\t1\tCleric.\t1\t1\n100831\tM\tMarried\t1975\tK: 250,000 - 299,999\t15000\tBach.\t0\t3\tProf.\t3\t1\n100832\tM\tNeverM\t1974\tG: 130,000 - 149,999\t3000\tHS-grad\t0\t2\tCrafts\t3\t1\n100833\tF\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\tCleric.\t2\t1\n100834\tM\tMarried\t1970\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t3\tCrafts\t3\t0\n100835\tM\tMarried\t1975\tI: 170,000 - 189,999\t9000\tBach.\t1\t3\tExec.\t4\t1\n100836\tM\tMarried\t1962\tF: 110,000 - 129,999\t10000\t< Bach.\t0\t3\tFarming\t2\t0\n100837\tF\tNeverM\t1983\tI: 170,000 - 189,999\t10000\t< Bach.\t0\t1\tCleric.\t1\t1\n100838\tM\tMarried\t1973\tD: 70,000 - 89,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100839\tM\tMarried\t1973\tK: 250,000 - 299,999\t9000\tBach.\t1\t3\tSales\t4\t0\n100840\tM\tMarried\t1955\tI: 170,000 - 189,999\t3000\tHS-grad\t1\t3\tCrafts\t5\t0\n100841\tM\tNeverM\t1943\tG: 130,000 - 149,999\t9000\tHS-grad\t0\t2\tHandler\t6\t0\n100842\tF\tWidowed\t1950\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t2\tMachine\t5\t0\n100843\tF\tSepar.\t1971\tJ: 190,000 - 249,999\t9000\tBach.\t1\t2\tProf.\t4\t0\n100844\tM\tMarried\t1964\tJ: 190,000 - 249,999\t15000\tMasters\t0\t3\tTransp.\t4\t0\n100845\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t9000\tPhD\t0\t2\tProf.\t3\t1\n100846\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t1\tHandler\t2\t1\n100847\tM\tDivorc.\t1976\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t1\n100848\tF\tDivorc.\t1945\tJ: 190,000 - 249,999\t9000\t< Bach.\t1\t2\tCleric.\t9\t0\n100849\tF\tNeverM\t1967\tC: 50,000 - 69,999\t5000\tBach.\t0\t2\tCleric.\t5\t0\n100850\tM\tMarried\t1963\tI: 170,000 - 189,999\t11000\t< Bach.\t0\t3\tCrafts\t4\t0\n100851\tF\tDivorc.\t1978\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t9+\tTechSup\t3\t1\n100852\tM\tWidowed\t1952\tK: 250,000 - 299,999\t11000\tHS-grad\t0\t2\tHandler\t4\t0\n100853\tM\tMarried\t1954\tK: 250,000 - 299,999\t7000\tBach.\t1\t3\tSales\t4\t0\n100854\tF\tSepar.\t1956\tL: 300,000 and above\t11000\tHS-grad\t0\t9+\tCleric.\t5\t0\n100855\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t1\tExec.\t3\t1\n100856\tF\tWidowed\t1942\tH: 150,000 - 169,999\t5000\t11th\t1\t9+\tOther\t5\t0\n100857\tM\tMarried\t1977\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tOther\t3\t1\n100858\tM\tNeverM\t1977\tL: 300,000 and above\t15000\t12th\t0\t1\tTransp.\t3\t1\n100859\tM\tNeverM\t1982\tE: 90,000 - 109,999\t5000\t< Bach.\t0\t1\tExec.\t1\t1\n100860\tF\tMarried\t1970\tK: 250,000 - 299,999\t11000\t< Bach.\t0\t4-5\tCrafts\t5\t0\n100861\tM\tNeverM\t1980\tL: 300,000 and above\t9000\tBach.\t0\t2\tCleric.\t2\t1\n100862\tM\tMarried\t1960\tL: 300,000 and above\t9000\t12th\t0\t3\tCleric.\t4\t0\n100863\tM\tMarried\t1971\tL: 300,000 and above\t15000\tHS-grad\t0\t3\tCleric.\t3\t0\n100864\tF\tNeverM\t1986\tG: 130,000 - 149,999\t11000\t10th\t0\t1\tOther\t0\t1\n100865\tF\tDivorc.\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n100866\tF\tNeverM\t1932\tI: 170,000 - 189,999\t5000\tMasters\t0\t2\tOther\t4\t0\n100867\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t6-8\tMachine\t2\t1\n100868\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tTransp.\t4\t0\n100869\tM\tNeverM\t1981\tG: 130,000 - 149,999\t5000\tHS-grad\t0\t1\tCleric.\t2\t1\n100870\tF\tNeverM\t1977\tJ: 190,000 - 249,999\t9000\tBach.\t0\t2\tExec.\t3\t1\n100871\tM\tMarried\t1963\tC: 50,000 - 69,999\t5000\tBach.\t1\t3\tExec.\t4\t0\n100872\tM\tMarried\t1971\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t3\tCrafts\t4\t0\n100873\tM\tNeverM\t1979\tJ: 190,000 - 249,999\t11000\t< Bach.\t0\t2\tMachine\t2\t1\n100874\tF\tMarried\t1950\tI: 170,000 - 189,999\t10000\t< Bach.\t1\t4-5\tExec.\t5\t0\n100875\tM\tMarried\t1953\tA: Below 30,000\t1500\t< Bach.\t1\t3\tProtec.\t5\t0\n100876\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t15000\t10th\t0\t2\tCrafts\t2\t1\n100877\tM\tNeverM\t1978\tJ: 190,000 - 249,999\t11000\tBach.\t0\t2\tSales\t3\t1\n100878\tM\tMarried\t1953\tJ: 190,000 - 249,999\t11000\t< Bach.\t1\t3\tTechSup\t6\t0\n100879\tM\tMarried\t1947\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tExec.\t6\t0\n100880\tM\tMarried\t1967\tA: Below 30,000\t1500\tHS-grad\t0\t3\tTransp.\t4\t0\n100881\tM\tNeverM\t1968\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t2\tProtec.\t4\t0\n100882\tM\tNeverM\t1979\tK: 250,000 - 299,999\t15000\t10th\t0\t2\tSales\t3\t1\n100883\tM\tMarried\t1958\tJ: 190,000 - 249,999\t15000\tPhD\t1\t3\tProf.\t7\t0\n100884\tM\tMarried\t1959\tB: 30,000 - 49,999\t1500\t< Bach.\t1\t3\tTechSup\t2\t0\n100885\tM\tNeverM\t1984\tJ: 190,000 - 249,999\t10000\tHS-grad\t0\t6-8\t?\t1\t1\n100886\tM\tNeverM\t1983\tH: 150,000 - 169,999\t3000\t< Bach.\t0\t1\tOther\t2\t1\n100887\tM\tMarried\t1959\tF: 110,000 - 129,999\t1500\tHS-grad\t1\t3\tCrafts\t6\t0\n100888\tM\tNeverM\t1966\tJ: 190,000 - 249,999\t9000\t< Bach.\t0\t1\tCleric.\t4\t0\n100889\tM\tMarried\t1957\tF: 110,000 - 129,999\t5000\tMasters\t1\t3\tProf.\t5\t0\n100890\tF\tWidowed\t1946\tF: 110,000 - 129,999\t3000\t< Bach.\t1\t9+\tCleric.\t6\t0\n100891\tM\tMarried\t1948\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tCrafts\t7\t0\n100892\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\t11th\t0\t2\tTransp.\t3\t1\n100893\tF\tNeverM\t1968\tJ: 190,000 - 249,999\t11000\t12th\t0\t2\tOther\t4\t0\n100894\tM\tNeverM\t1976\tJ: 190,000 - 249,999\t11000\tProfsc\t0\t2\tProf.\t1\t1\n100895\tM\tMarried\t1968\tC: 50,000 - 69,999\t1500\tHS-grad\t0\t3\tExec.\t5\t0\n100896\tF\tNeverM\t1979\tI: 170,000 - 189,999\t3000\tHS-grad\t0\t1\tOther\t2\t1\n100897\tM\tMarried\t1958\tJ: 190,000 - 249,999\t7000\t< Bach.\t1\t3\tProf.\t7\t0\n100898\tM\tMabsent\t1953\tJ: 190,000 - 249,999\t9000\tMasters\t0\t6-8\tProf.\t8\t0\n100899\tM\tSepar.\t1947\tJ: 190,000 - 249,999\t15000\t1st-4th\t0\t2\tExec.\t4\t0\n100901\tF\tDivorc.\t1956\tH: 150,000 - 169,999\t10000\t< Bach.\t0\t2\tOther\t6\t0\n100902\tM\tNeverM\t1982\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tSales\t2\t1\n100903\tF\tNeverM\t1973\tH: 150,000 - 169,999\t10000\tHS-grad\t0\t1\tCleric.\t3\t0\n100904\tM\tDivorc.\t1974\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t2\tSales\t4\t1\n100905\tF\tWidowed\t1940\tL: 300,000 and above\t11000\tBach.\t0\t2\t?\t9\t0\n100906\tM\tMarried\t1961\tI: 170,000 - 189,999\t5000\tMasters\t0\t3\tProf.\t4\t0\n100907\tM\tMarried\t1976\tE: 90,000 - 109,999\t9000\t11th\t0\t3\tSales\t3\t1\n100908\tM\tMarried\t1973\tJ: 190,000 - 249,999\t9000\tHS-grad\t0\t3\tHandler\t5\t0\n100909\tF\tWidowed\t1933\tE: 90,000 - 109,999\t7000\tHS-grad\t0\t9+\tCleric.\t2\t0\n100910\tM\tMarried\t1923\tK: 250,000 - 299,999\t11000\tAssoc-V\t0\t3\tCrafts\t4\t0\n100911\tM\tMarried\t1952\tF: 110,000 - 129,999\t1500\tHS-grad\t0\t3\tCrafts\t5\t0\n100912\tF\tMar-AF\t1968\tL: 300,000 and above\t9000\tAssoc-A\t0\t4-5\tCleric.\t4\t0\n100913\tF\tWidowed\t1937\tI: 170,000 - 189,999\t11000\tHS-grad\t0\t6-8\tSales\t7\t0\n100914\tM\tDivorc.\t1964\tL: 300,000 and above\t9000\t11th\t0\t1\tTransp.\t4\t0\n100915\tF\tNeverM\t1983\tC: 50,000 - 69,999\t3000\t< Bach.\t0\t1\t?\t2\t1\n100916\tM\tMarried\t1977\tC: 50,000 - 69,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t1\n100917\tM\tMarried\t1960\tH: 150,000 - 169,999\t11000\tAssoc-V\t0\t3\tCrafts\t5\t0\n100918\tM\tNeverM\t1973\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t2\tCleric.\t3\t0\n100919\tM\tNeverM\t1962\tB: 30,000 - 49,999\t3000\t< Bach.\t0\t2\tCrafts\t4\t0\n100920\tM\tMarried\t1968\tL: 300,000 and above\t11000\tHS-grad\t0\t3\tMachine\t4\t0\n100921\tM\tMarried\t1970\tG: 130,000 - 149,999\t5000\tBach.\t0\t3\tSales\t6\t0\n100922\tM\tNeverM\t1969\tL: 300,000 and above\t15000\t< Bach.\t1\t2\tProf.\t4\t0\n100923\tM\tMarried\t1968\tJ: 190,000 - 249,999\t15000\tHS-grad\t0\t3\tMachine\t4\t0\n100924\tM\tNeverM\t1963\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t0\n100925\tM\tNeverM\t1983\tF: 110,000 - 129,999\t10000\tHS-grad\t0\t1\tHandler\t2\t1\n100926\tM\tMarried\t1974\tI: 170,000 - 189,999\t10000\tHS-grad\t0\t3\tCrafts\t3\t1\n100927\tF\tNeverM\t1956\tA: Below 30,000\t1500\tAssoc-V\t0\t2\tOther\t7\t0\n100928\tM\tMarried\t1966\tL: 300,000 and above\t9000\tHS-grad\t0\t3\tCleric.\t4\t0\n100929\tF\tNeverM\t1981\tF: 110,000 - 129,999\t5000\tHS-grad\t0\t1\tCleric.\t2\t1\n100930\tF\tWidowed\t1922\tF: 110,000 - 129,999\t5000\tBach.\t0\t2\tProf.\t0\t0\n100931\tM\tMarried\t1955\tK: 250,000 - 299,999\t15000\t< Bach.\t1\t3\tCrafts\t6\t0\n100932\tM\tNeverM\t1972\tD: 70,000 - 89,999\t10000\tHS-grad\t0\t1\tMachine\t5\t0\n100933\tM\tMarried\t1957\tL: 300,000 and above\t15000\tHS-grad\t1\t3\tSales\t7\t0\n100934\tM\tMabsent\t1974\tB: 30,000 - 49,999\t5000\tBach.\t0\t2\t?\t4\t1\n100935\tF\tNeverM\t1981\tF: 110,000 - 129,999\t9000\t< Bach.\t0\t2\tOther\t2\t1\n100936\tM\tMarried\t1940\tC: 50,000 - 69,999\t3000\t9th\t0\t3\tCrafts\t3\t0\n100937\tM\tNeverM\t1980\tJ: 190,000 - 249,999\t11000\tHS-grad\t0\t2\tCrafts\t4\t1\n100938\tM\tNeverM\t1964\tL: 300,000 and above\t11000\tHS-grad\t0\t1\tFarming\t1\t0\n100939\tM\tMarried\t1966\tL: 300,000 and above\t7000\tAssoc-A\t0\t3\tFarming\t4\t0\n100940\tF\tMarried\t1969\tE: 90,000 - 109,999\t3000\tHS-grad\t1\t4-5\tOther\t3\t0\n100941\tF\tMarried\t1948\tI: 170,000 - 189,999\t5000\t9th\t0\t4-5\tTechSup\t3\t0\n100942\tM\tMarried\t1960\tI: 170,000 - 189,999\t5000\tBach.\t1\t3\tCrafts\t4\t0\n100943\tM\tMarried\t1961\tJ: 190,000 - 249,999\t9000\tHS-grad\t1\t3\tTechSup\t3\t0\n100944\tM\tMarried\t1958\tG: 130,000 - 149,999\t11000\t< Bach.\t0\t3\tHandler\t5\t0\n100945\tM\tNeverM\t1977\tH: 150,000 - 169,999\t5000\tHS-grad\t0\t6-8\tCrafts\t3\t1\n100946\tF\tDivorc.\t1967\tB: 30,000 - 49,999\t1500\t< Bach.\t0\t2\tProf.\t4\t0\n100947\tM\tMarried\t1968\tI: 170,000 - 189,999\t10000\tBach.\t1\t1\tSales\t4\t0\n100948\tF\tDivorc.\t1950\tG: 130,000 - 149,999\t5000\t7th-8th\t0\t2\tMachine\t5\t0\n100949\tM\tMarried\t1977\tJ: 190,000 - 249,999\t15000\t< Bach.\t0\t3\tTransp.\t5\t1\n100950\tM\tMarried\t1958\tG: 130,000 - 149,999\t5000\tHS-grad\t1\t3\tSales\t6\t0\n100951\tM\tWidowed\t1952\tK: 250,000 - 299,999\t7000\tHS-grad\t0\t9+\tTransp.\t5\t0\n100952\tF\tNeverM\t1978\tB: 30,000 - 49,999\t1500\tBach.\t0\t2\tTechSup\t3\t1\n100953\tM\tMarried\t1946\tF: 110,000 - 129,999\t10000\tMasters\t1\t3\tSales\t10\t0\n100954\tF\tMarried\t1965\tI: 170,000 - 189,999\t15000\tProfsc\t0\t4-5\tSales\t4\t0\n100955\tM\tMarried\t1952\tH: 150,000 - 169,999\t7000\tHS-grad\t0\t3\tCrafts\t3\t0\n100956\tM\tMarried\t1953\tG: 130,000 - 149,999\t7000\tHS-grad\t1\t3\tTransp.\t6\t0\n100957\tM\tNeverM\t1980\tC: 50,000 - 69,999\t9000\t< Bach.\t0\t2\tHandler\t2\t1\n100958\tF\tSepar.\t1975\tD: 70,000 - 89,999\t3000\t< Bach.\t0\t9+\tOther\t1\t1\n100959\tM\tMarried\t1960\tF: 110,000 - 129,999\t1500\t< Bach.\t1\t3\tSales\t4\t0\n100960\tM\tNeverM\t1975\tB: 30,000 - 49,999\t1500\tAssoc-V\t0\t2\tSales\t4\t1\n100961\tM\tDivorc.\t1962\tH: 150,000 - 169,999\t1500\tHS-grad\t0\t1\tExec.\t5\t0\n100962\tM\tMarried\t1943\tH: 150,000 - 169,999\t5000\tProfsc\t1\t3\tProf.\t11\t0\n100963\tF\tDivorc.\t1959\tL: 300,000 and above\t11000\t< Bach.\t0\t9+\tCleric.\t4\t0\n100964\tF\tNeverM\t1978\tL: 300,000 and above\t9000\tBach.\t0\t2\tProf.\t2\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_159495115","id":"20200915-183829_150204111","dateCreated":"2020-03-10T17:34:18+0000","dateStarted":"2020-09-15T23:35:37+0000","dateFinished":"2020-09-15T23:35:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:29"},{"title":"Build SVM Partitioned Model on CUST_GENDER to predict YRS_RESIDENCE","text":"%script\nBEGIN DBMS_DATA_MINING.DROP_MODEL('SVM_MOD_PARTITIONED');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME'):= 'ALGO_SUPPORT_VECTOR_MACHINES'; -- choose SVM algorithm\n v_setlst('SVMS_KERNEL_FUNCTION') :='SVMS_LINEAR'; -- choose linear kernel, which provides coefficients\n v_setlst('ODMS_PARTITION_COLUMNS'):='CUST_GENDER'; -- choose column on which to partition the data, gender\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'SVM_MOD_PARTITIONED',\n MINING_FUNCTION => 'REGRESSION',\n DATA_QUERY => 'SELECT * FROM CUSTOMERS_DEMO',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => 'YRS_RESIDENCE');\nEND;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:38+0000","config":{"colWidth":12,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/plsql","fontSize":9,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_1890965312","id":"20200915-183829_142012102","dateCreated":"2020-03-09T23:44:45+0000","dateStarted":"2020-09-15T23:35:38+0000","dateFinished":"2020-09-15T23:35:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:30"},{"title":"View sub-models of the partitioned model","text":"%sql\n\nSELECT * \nFROM ALL_MINING_MODEL_PARTITIONS\nWHERE MODEL_NAME = 'SVM_MOD_PARTITIONED';","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":114.006,"optionOpen":false,"setting":{"table":{"tableGridState":{"columns":[{"name":"OWNER","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"MODEL_NAME","visible":true,"width":205,"sort":{},"filters":[{}],"pinned":""},{"name":"PARTITION_NAME","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"POSITION","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"COLUMN_NAME","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"COLUMN_VALUE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"OWNER":"string","MODEL_NAME":"string","PARTITION_NAME":"string","POSITION":"string","COLUMN_NAME":"string","COLUMN_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"OWNER\tMODEL_NAME\tPARTITION_NAME\tPOSITION\tCOLUMN_NAME\tCOLUMN_VALUE\nOMLUSER\tSVM_MOD_PARTITIONED\tF\t1\tCUST_GENDER\tF\nOMLUSER\tSVM_MOD_PARTITIONED\tM\t1\tCUST_GENDER\tM\n"}]},"interrupted":false,"jobName":"paragraph_1600195109259_1143780447","id":"20200915-183829_140220147","dateCreated":"2020-03-10T17:21:37+0000","dateStarted":"2020-09-15T23:35:40+0000","dateFinished":"2020-09-15T23:35:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:31"},{"title":"Score data using partitioned model SVM_MOD_PARTITIONED","text":"%sql\n\nSELECT cust_id, YRS_RESIDENCE,\n ROUND(PREDICTION(SVM_MOD_PARTITIONED USING *),2) pred_YRS_RESIDENCE\nFROM CUSTOMERS_DEMO;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:35:40+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","YRS_RESIDENCE":"string","PRED_YRS_RESIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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data using partitioned model SVM_MOD_PARTITIONED with prediction details","text":"%sql\n\nSELECT cust_id, YRS_RESIDENCE,\n ROUND(PREDICTION(SVM_MOD_PARTITIONED USING *),2) pred_YRS_RESIDENCE,\n PREDICTION_DETAILS(SVM_MOD_PARTITIONED USING *) pred_det -- XML with top attribute name, actual value, weight, rank\nFROM 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diff --git a/machine-learning/notebooks/sql/OML4SQL_Regression.json b/machine-learning/notebooks/sql/OML4SQL_Regression.json
index 9a6e7b07..0d3b3d41 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Regression.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Regression.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n## Regression Modeling to Predict Numerical Values\n\nThis notebook shows how to predict numerical values using a multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE. Since YRS_RESIDENCE is a continuous variable, we will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.\n","user":"MARK","dateUpdated":"2020-02-07T20:00:19+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":153.5,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Regression Modeling to Predict Numerical Values
\nThis notebook shows how to predict numerical values using a multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE. Since YRS_RESIDENCE is a continuous variable, we will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1580938108963_-1601885427","id":"20200205-212828_383215064","dateCreated":"2018-02-06T15:02:34+0000","dateStarted":"2020-02-07T20:00:23+0000","dateFinished":"2020-02-07T20:00:23+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md \n\n\n
\n","user":"MARK","dateUpdated":"2020-02-07T20:00:23+0000","config":{"tableHide":false,"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":217.016,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"jobName":"paragraph_1580938108963_-2015357055","id":"20200205-212828_1888796240","dateCreated":"2018-02-06T15:07:11+0000","dateStarted":"2020-02-07T20:00:27+0000","dateFinished":"2020-02-07T20:00:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md \n\nOracle ADW Documentation \nOracle Machine Learning folder on Github \nOracle Machine Learning web page: \nGeneralized Linear Model (GLM): ","user":"MARK","dateUpdated":"2020-02-07T20:00:27+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
Oracle Machine Learning folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/database/technologies/datawarehouse-bigdata/machine-learning.html\n
Generalized Linear Model (GLM): https://docs.oracle.com/en/database/oracle/oracle-database/19/arpls/DBMS_DATA_MINING.html#GUID-4E3665B9-B1C2-4F6B-AB69-A7F353C70F5C
\n"}]},"jobName":"paragraph_1580938108963_-572914704","id":"20200205-212828_1801123174","dateCreated":"2018-02-06T16:11:59+0000","dateStarted":"2020-02-07T20:00:28+0000","dateFinished":"2020-02-07T20:00:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Drop, then create table CUSTOMERS360","text":"%script\n\n-- Drop any previously existing CUSTOMERS360 table for notebook repeatability\n\nBEGIN\n EXECUTE IMMEDIATE 'DROP TABLE CUSTOMERS360';\nEXCEPTION\n WHEN OTHERS THEN NULL;\nEND;\n/\n\n-- JOIN selected attributes from SH.CUSTOMERS and SH.SUPPLEMENTARY_DEMOGRAPHICS tables to create better 360 view of customer\nCREATE TABLE CUSTOMERS360 AS \n SELECT A.CUST_ID, A.CUST_GENDER, A.CUST_MARITAL_STATUS, A.CUST_YEAR_OF_BIRTH, A.CUST_INCOME_LEVEL, A.CUST_CREDIT_LIMIT, \n B.EDUCATION, B.AFFINITY_CARD, B.HOUSEHOLD_SIZE, B.OCCUPATION, B.YRS_RESIDENCE, B.Y_BOX_GAMES\n FROM SH.CUSTOMERS A, SH.SUPPLEMENTARY_DEMOGRAPHICS B\n WHERE A.CUST_ID = B.CUST_ID;","user":"MARK","dateUpdated":"2020-02-07T20:00:28+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nTable CUSTOMERS360 created.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580938108963_760293750","id":"20200205-212828_343778267","dateCreated":"2018-02-06T15:33:37+0000","dateStarted":"2020-02-07T20:00:32+0000","dateFinished":"2020-02-07T20:00:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Split data into randomly selected 60% sample for train and 40% test","text":"%script\n\n-- Split the Data into N1_TRAIN_DATA and N1_TEST_DATA\nBEGIN\n EXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TRAIN_DATA AS SELECT * FROM CUSTOMERS360 SAMPLE (60) SEED (1)';\n DBMS_OUTPUT.PUT_LINE ('Created N1_TRAIN_DATA');\n EXECUTE IMMEDIATE 'CREATE OR REPLACE VIEW N1_TEST_DATA AS SELECT * FROM CUSTOMERS360 MINUS SELECT * FROM N1_TRAIN_DATA';\n DBMS_OUTPUT.PUT_LINE ('Created N1_TEST_DATA');\nEND;\n/","user":"MARK","dateUpdated":"2020-02-07T20:00:33+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"Created N1_TRAIN_DATA\nCreated N1_TEST_DATA\n\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580939182663_-1144812016","id":"20200205-214622_2069491042","dateCreated":"2020-02-05T21:46:22+0000","dateStarted":"2020-02-07T20:00:33+0000","dateFinished":"2020-02-07T20:00:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:150"},{"title":"Drop previous settings and output tables","text":"%script \n\n-- Drop any previous GLM Model Settings table for notebook repeatability\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE GLMR_SETTINGS';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n-- Drop any previous Model Diagnostics table for notebook repeatability\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE GLMR_DIAG';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/","user":"MARK","dateUpdated":"2020-02-07T20:00:33+0000","config":{"colWidth":8,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"jobName":"paragraph_1580938108963_812020972","id":"20200205-212828_959049001","dateCreated":"2018-02-06T19:32:52+0000","dateStarted":"2020-02-07T20:00:34+0000","dateFinished":"2020-02-07T20:00:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Create GLM model settings table","text":"%sql\n\n--Create Model Settings Table\nCREATE TABLE GLMR_SETTINGS (\n SETTING_NAME VARCHAR2(30),\n SETTING_VALUE VARCHAR2(4000));","user":"MARK","dateUpdated":"2020-02-07T20:00:34+0000","config":{"tableHide":false,"colWidth":4,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"jobName":"paragraph_1580938108963_-1357434574","id":"20200205-212828_1813688930","dateCreated":"2018-02-06T15:27:45+0000","dateStarted":"2020-02-07T20:00:35+0000","dateFinished":"2020-02-07T20:00:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:152"},{"title":"Define model settings for automated data preparation and feature selection","text":"%script \n\nBEGIN \n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.ALGO_NAME, DBMS_DATA_MINING.ALGO_GENERALIZED_LINEAR_MODEL);\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.PREP_AUTO, DBMS_DATA_MINING.PREP_AUTO_ON); \n\n-- output row diagnostic statistics into a table named GLMC_SH_SAMPLE_DIAG \n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_DIAGNOSTICS_TABLE_NAME, 'GLMR_SH_SAMPLE_DIAG'); \n-- turn on feature selection\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_FTR_SELECTION, DBMS_DATA_MINING.GLMS_FTR_SELECTION_ENABLE);\n-- turn on feature generation\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_FTR_GENERATION, DBMS_DATA_MINING.GLMS_FTR_GENERATION_ENABLE);\nEND;","user":"MARK","dateUpdated":"2020-02-07T20:00:35+0000","config":{"colWidth":12,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/plsql","results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"jobName":"paragraph_1580938108963_1502953505","id":"20200205-212828_1356303170","dateCreated":"2018-02-06T15:27:49+0000","dateStarted":"2020-02-07T20:00:35+0000","dateFinished":"2020-02-07T20:00:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"text":"%md\n#### Additional examples of possible setting overrides are shown below. If the user does not override the default settings, then relevant settings are determined by the algorithm\n-- Specify a row weight column \n (dbms_data_mining.odms_row_weight_column_name,);\n-- specify a missing value treatment method:\n Default: replace with mean (numeric features) or \n mode (categorical features) \n or delete the row\n (dbms_data_mining.odms_missing_value_treatment, dbms_data_mining.odms_missing_value_delete_row);\n-- turn ridge regression on or off \n By default the system turns it on if there is a multicollinearity\n (dbms_data_mining.glms_ridge_regression, dbms_data_mining.glms_ridge_reg_enable); ","user":"MARK","dateUpdated":"2020-02-07T20:00:36+0000","config":{"tableHide":false,"colWidth":12,"editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/markdown","results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Additional examples of possible setting overrides are shown below. If the user does not override the default settings, then relevant settings are determined by the algorithm
\n– Specify a row weight column
\n(dbms_data_mining.odms_row_weight_column_name,<row_weight_column_name>);\n
\n– specify a missing value treatment method:
\n Default: replace with mean (numeric features) or \n mode (categorical features) \n or delete the row\n(dbms_data_mining.odms_missing_value_treatment, dbms_data_mining.odms_missing_value_delete_row);\n
\n– turn ridge regression on or off
\n By default the system turns it on if there is a multicollinearity\n(dbms_data_mining.glms_ridge_regression, dbms_data_mining.glms_ridge_reg_enable);\n
\n"}]},"jobName":"paragraph_1580938108963_-23662797","id":"20200205-212828_701340152","dateCreated":"2018-02-06T15:27:52+0000","dateStarted":"2020-02-07T20:00:40+0000","dateFinished":"2020-02-07T20:00:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Drop, then build a GLM regression model for predicting YRS_RESIDENCE","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('GLMR_SH_REGR_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nDECLARE\n V_XLST DBMS_DATA_MINING_TRANSFORM.TRANSFORM_LIST;\n \nBEGIN\n DBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'GLMR_SH_REGR_SAMPLE',\n MINING_FUNCTION => DBMS_DATA_MINING.REGRESSION,\n DATA_TABLE_NAME => 'N1_TRAIN_DATA',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => 'YRS_RESIDENCE',\n SETTINGS_TABLE_NAME => 'GLMR_SETTINGS',\n XFORM_LIST => 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for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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109,999*HOUSEHOLD_SIZE_9+\t-1.054252032531707\t0.2712634526097857\t-3.886450689869585\t1.0419951701979134E-4\t-0.04662289841233422\t-1.586160012322603\t-0.5223440527408113\nCUST_INCOME_LEVEL_H: 150,000 - 169,999*OCCUPATION_Transp.\t1.3080541951478024\t0.3460325742793482\t3.7801475709966685\t1.601726525116564E-4\t0.04487496723650486\t0.6295348968199914\t1.9865734934756134\nCUST_INCOME_LEVEL_L: 300,000 and above*EDUCATION_Masters\t-0.991601896164069\t0.26287023980741253\t-3.7722105662875705\t1.6532786747141694E-4\t-0.044926820972092885\t-1.5070520124915534\t-0.4761517798365845\nCUST_MARITAL_STATUS_Divorc.\t83.34892247756322\t13.839619992100038\t6.022486348985061\t1.9539446748119085E-9\t14.662882910095512\t56.2114506204124\t110.48639433471405\nCUST_YEAR_OF_BIRTH\t-1177.0939621613766\t155.5580782219579\t-7.566909900248581\t5.2301379191808903E-14\t-8390.74837348491\t-1482.120615516783\t-872.0673088059702\nCUST_YEAR_OF_BIRTH*AFFINITY_CARD\t-0.0420240458912972\t0.005705498418146709\t-7.365534579351908\t2.3398730687970755E-13\t-18.268984559679176\t-0.05321169431241402\t-0.030836397470180375\nCUST_YEAR_OF_BIRTH*CUST_GENDER_F\t0.021228520659693856\t0.003824844052026129\t5.55016632598354\t3.13518116438078E-8\t10.215496978004687\t0.013728560553917888\t0.028728480765469824\nCUST_YEAR_OF_BIRTH*CUST_MARITAL_STATUS_Divorc.\t-0.04246965921660803\t0.007061709847009459\t-6.014075930150737\t2.056691440155267E-9\t-14.643664968447816\t-0.0563166400113101\t-0.02862267842190596\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH\t0.6046648702395141\t0.07966644295799401\t7.589956922745224\t4.395499901629198E-14\t16897.937772755107\t0.4484506205010126\t0.7608791199780156\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH\t-1.0353827815695286E-4\t1.359941205695051E-5\t-7.6134378253533095\t3.680131978235629E-14\t-8508.209884998178\t-1.302047373646447E-4\t-7.687181894926103E-5\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*HOUSEHOLD_SIZE_1\t1.3342169575523637E-5\t3.0456597323130362E-6\t4.380715755594563\t1.228582006115474E-5\t9.707666575414375\t7.370076026764217E-6\t1.9314263124283055E-5\nCUST_YEAR_OF_BIRTH*HOUSEHOLD_SIZE_4-5\t0.025191974209796908\t0.01069472769156524\t2.3555507850532194\t0.01856732241370301\t5.576269772723545\t0.004221176462791441\t0.04616277195680238\nCUST_YEAR_OF_BIRTH*OCCUPATION_?\t0.014309568113553923\t0.005225714734569893\t2.7382987477083716\t0.006216839678935071\t3.264000451461019\t0.004062705365599956\t0.02455643086150789\nCUST_YEAR_OF_BIRTH*OCCUPATION_Crafts\t-1.1918712986737244E-4\t3.7405414517048465E-5\t-3.1863603546767245\t0.0014574022011103079\t-0.04032869705662844\t-1.9253368015855805E-4\t-4.5840579576186816E-5\nCUST_YEAR_OF_BIRTH*Y_BOX_GAMES*EDUCATION_Bach.\t-2.3063214030674152E-4\t6.377805202557373E-5\t-3.6161678348887576\t3.045405931613976E-4\t-0.049794344974419334\t-3.5569157784446823E-4\t-1.0557270276901484E-4\nEDUCATION_7th-8th\t-0.6664489778515371\t0.17528317178551317\t-3.802127557727238\t1.4667493390292584E-4\t-0.04588170783354146\t-1.0101536564537494\t-0.32274429924932474\nEDUCATION_< Bach.\t-0.17037497993734974\t0.05689179283082566\t-2.9947198261791375\t0.0027722401214159\t-0.0373417416944194\t-0.281931469763709\t-0.05881849011099047\nEDUCATION_PhD\t0.4900217554921874\t0.22832755211745157\t2.1461350193958215\t0.03195221593191002\t0.025602613662142504\t0.04230480059484004\t0.9377387103895347\nHOUSEHOLD_SIZE_1\t-52.100350693111366\t11.88081598385878\t-4.38525020199746\t1.2034450247608167E-5\t-9.680759061389056\t-75.39689420991292\t-28.803807176309814\nHOUSEHOLD_SIZE_4-5\t-50.06797313644341\t20.99028470586611\t-2.3852927122256244\t0.01713500156608121\t-5.647417463016853\t-91.2268532794082\t-8.909092993478616\nOCCUPATION_?\t-28.325344359452934\t10.255428624581747\t-2.761985422194691\t0.0057844910694228036\t-3.2931777540426346\t-48.43474084876908\t-8.215947870136784\nOCCUPATION_Crafts*EDUCATION_Masters\t-5.3899717184877955\t1.1943395151891867\t-4.512930912810005\t6.670965866437193E-6\t-0.05348870319920313\t-7.731896930294972\t-3.0480465066806195\nOCCUPATION_Farming\t0.5192991288314273\t0.15945268027553905\t3.256760111740127\t0.0011410395173195398\t0.0394787981115891\t0.20663573012577363\t0.8319625275370809\nOCCUPATION_Other\t-0.3125687021158669\t0.07848992441837539\t-3.9822780367296544\t7.0083452898271E-5\t-0.05006221879666759\t-0.4664759709707501\t-0.1586614332609837\nOCCUPATION_Sales*HOUSEHOLD_SIZE_9+\t-0.8412684831291153\t0.2065414263020245\t-4.073122269906922\t4.7739692725711704E-5\t-0.049078163740810386\t-1.2462660297963248\t-0.43627093646190584\nOCCUPATION_TechSup\t-0.6003529164567685\t0.12395208003226664\t-4.843427526996621\t1.3491684071553511E-6\t-0.05819148415402264\t-0.8434048272340183\t-0.3573010056795186\nY_BOX_GAMES\t0.9469174869450586\t0.14382956803688146\t6.583607945636363\t5.509716886431073E-11\t0.2257377024992829\t0.6648887276976916\t1.2289462461924257\n\t763823.9709687193\t101244.50575688129\t7.54434984158935\t6.197503072779765E-14\t0.0\t565298.2941627915\t962349.6477746472\n"}]},"jobName":"paragraph_1580938108963_-1805235226","id":"20200205-212828_797772986","dateCreated":"2018-02-07T02:14:43+0000","dateStarted":"2020-02-07T20:00:49+0000","dateFinished":"2020-02-07T20:00:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:160"},{"title":"Show 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above*EDUCATION_Masters\t-0.991601896164069\t1.6532786747141694E-4\nCUST_MARITAL_STATUS_Divorc.\t83.34892247756322\t1.9539446748119085E-9\nCUST_YEAR_OF_BIRTH\t-1177.0939621613766\t5.2301379191808903E-14\nCUST_YEAR_OF_BIRTH*AFFINITY_CARD\t-0.0420240458912972\t2.3398730687970755E-13\nCUST_YEAR_OF_BIRTH*CUST_GENDER_F\t0.021228520659693856\t3.13518116438078E-8\nCUST_YEAR_OF_BIRTH*CUST_MARITAL_STATUS_Divorc.\t-0.04246965921660803\t2.056691440155267E-9\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH\t0.6046648702395141\t4.395499901629198E-14\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH\t-1.0353827815695286E-4\t3.680131978235629E-14\nCUST_YEAR_OF_BIRTH*CUST_YEAR_OF_BIRTH*HOUSEHOLD_SIZE_1\t1.3342169575523637E-5\t1.228582006115474E-5\nCUST_YEAR_OF_BIRTH*HOUSEHOLD_SIZE_4-5\t0.025191974209796908\t0.01856732241370301\nCUST_YEAR_OF_BIRTH*OCCUPATION_?\t0.014309568113553923\t0.006216839678935071\nCUST_YEAR_OF_BIRTH*OCCUPATION_Crafts\t-1.1918712986737244E-4\t0.0014574022011103079\nCUST_YEAR_OF_BIRTH*Y_BOX_GAMES*EDUCATION_Bach.\t-2.3063214030674152E-4\t3.045405931613976E-4\nEDUCATION_7th-8th\t-0.6664489778515371\t1.4667493390292584E-4\nEDUCATION_< 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GLM model to predict YRS_RESIDENCE with Prediction_Details","text":"%sql\n\n-- Make predictions with upper and lower bounds and include explanatory prediction details\nSELECT CUST_ID,\n round(PREDICTION_YRS_RES,3) PRED_YRS_RES,\n round(PRED_LOWER_LIMIT,3) LOWER_PRED,\n round(PRED_UPPER_LIMIT,3) HIGHER_PRED,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\n FROM (SELECT CUST_ID,\n PREDICTION(GLMR_SH_REGR_SAMPLE USING *) PREDICTION_YRS_RES,\n PREDICTION_BOUNDS(GLMR_SH_REGR_SAMPLE USING *).LOWER PRED_LOWER_LIMIT,\n PREDICTION_BOUNDS(GLMR_SH_REGR_SAMPLE USING *).UPPER PRED_UPPER_LIMIT,\n PREDICTION_DETAILS(GLMR_SH_REGR_SAMPLE USING *) PD\n FROM N1_TEST_DATA\n WHERE CUST_ID < 100015\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PD\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') \n OUTPRED; 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weight=\"-1.605\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\"-1.605\" \n100002\t4.678\t4.531\t4.825\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1962\" weight=\"2.653\" \t\"EDUCATION\" actualValue=\"Bach.\" weight=\"2.653\" \t\"CUST_INCOME_LEVEL\" actualValue=\"L: 300,000 and above\" weight=\"2.653\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"2.653\" \n100004\t5.162\t4.976\t5.349\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1953\" weight=\".726\" \t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\".726\" \t\"OCCUPATION\" actualValue=\"Sales\" weight=\".726\" \t\"EDUCATION\" actualValue=\"< Bach.\" weight=\".726\" \n100008\t4.625\t4.451\t4.799\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1962\" weight=\"-1.605\" \t\"EDUCATION\" actualValue=\"< Bach.\" weight=\"-1.605\" \t\"OCCUPATION\" actualValue=\"Crafts\" weight=\"-1.605\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-1.605\" \n100012\t4.825\t4.365\t5.284\t\"EDUCATION\" actualValue=\"PhD\" weight=\"-1.605\" \t\"CUST_INCOME_LEVEL\" actualValue=\"H: 150,000 - 169,999\" weight=\"-1.605\" \t\"AFFINITY_CARD\" actualValue=\"1\" weight=\"-1.605\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-1.605\" \n100013\t5.108\t4.996\t5.22\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1961\" weight=\"-.616\" \t\"OCCUPATION\" actualValue=\"Transp.\" weight=\"-.616\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-.616\" \t\"AFFINITY_CARD\" actualValue=\"0\" weight=\"-.616\" \n100014\t5.287\t5.12\t5.453\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1954\" weight=\"-1.605\" \t\"CUST_MARITAL_STATUS\" actualValue=\"Divorc.\" weight=\"-1.605\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-1.605\" \t\"CUST_GENDER\" actualValue=\"F\" weight=\"-1.605\" \n"}]},"jobName":"paragraph_1580938108963_-418303083","id":"20200205-212828_39375306","dateCreated":"2018-02-06T15:44:16+0000","dateStarted":"2020-02-07T20:00:55+0000","dateFinished":"2020-02-07T20:00:55+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:162"},{"title":"Show the GLM model predictions vs actuals","text":"%sql\n\n-- Show predictions vs. actuals. The predictions look good.\n\nSELECT CUST_ID,\n round(PREDICTION(GLMR_SH_REGR_SAMPLE USING *), 1) PRED_YRS_RESIDENCE,\n YRS_RESIDENCE ACTUAL_YRS_RESIDENCE\n FROM N1_TEST_DATA\n WHERE CUST_ID <= 100030\n ORDER BY CUST_ID;","user":"MARK","dateUpdated":"2020-02-07T20:00:55+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":true,"setting":{"multiBarChart":{"stacked":false},"scatterChart":{"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"},"yAxis":{"name":"PREDICTED","index":1,"aggr":"sum"}},"lineChart":{},"table":{"tableGridState":{"columns":[{"name":"CUST_ID","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PRED_YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"ACTUAL_YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED_YRS_RESIDENCE":"string","ACTUAL_YRS_RESIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"keys":[],"groups":[],"values":[],"commonSetting":{}},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPRED_YRS_RESIDENCE\tACTUAL_YRS_RESIDENCE\n100001\t4.7\t3\n100002\t4.7\t4\n100004\t5.2\t5\n100008\t4.6\t5\n100012\t4.8\t4\n100013\t5.1\t5\n100014\t5.3\t5\n100015\t5.1\t6\n100017\t5.3\t5\n100018\t3.6\t3\n100019\t3.7\t4\n100021\t4.8\t4\n100023\t5.5\t8\n100029\t4.7\t5\n"}]},"jobName":"paragraph_1580938108963_593771508","id":"20200205-212828_1382808126","dateCreated":"2019-07-26T14:56:47+0000","dateStarted":"2020-02-07T20:00:56+0000","dateFinished":"2020-02-07T20:00:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:163"},{"title":"Graph the GLM model predictions vs actuals grouped by HOUSE_HOLD_SIZE","text":"%sql\n\n-- Show predictions vs. actuals in a scatter plot grouped by HOUSE_HOLD_SIZE. \n-- Click the scatter plot icon and drag PRED_YRS_RESIDENCE to xAxis, ACTUAL_YRS_RESIDENCE to yAxis and HOUSEHOLD_SIZE to group.\n\nSELECT CUST_ID,\n round(PREDICTION(GLMR_SH_REGR_SAMPLE USING *), 1) PRED_YRS_RESIDENCE,\n YRS_RESIDENCE ACTUAL_YRS_RESIDENCE, CUST_GENDER, HOUSEHOLD_SIZE\n FROM N1_TEST_DATA\n ORDER BY 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+{"paragraphs":[{"text":"%md\n## Regression Modeling to Predict Numerical Values\n\nThis notebook shows how to predict numerical values using a multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE. Since YRS_RESIDENCE is a continuous variable, we will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:00+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":153.5,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Regression Modeling to Predict Numerical Values
\nThis notebook shows how to predict numerical values using a multiple regression. Given demographic, purchase, and affinity card data for a set of customers, predict the number of years a customer remains at the same residence, as found in column YRS_RESIDENCE. Since YRS_RESIDENCE is a continuous variable, we will use the Generalized Linear Model algorithm. All processing occurs inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-260582869","id":"20200915-183828_180864644","dateCreated":"2018-02-06T15:02:34+0000","dateStarted":"2020-09-15T23:40:00+0000","dateFinished":"2020-09-15T23:40:00+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:98"},{"text":"%md \n\n\n
\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:00+0000","config":{"tableHide":false,"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":217.016,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_2142404553","id":"20200915-183828_1721422409","dateCreated":"2018-02-06T15:07:11+0000","dateStarted":"2020-09-15T23:40:01+0000","dateFinished":"2020-09-15T23:40:01+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:99"},{"title":"For more information...","text":"%md \n\nOracle ADW Documentation \nOML folder on Github \nOML web page: \nOML Regression: \nOML Generalized Linear Model (GLM): ","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:01+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/database/technologies/datawarehouse-bigdata/machine-learning.html\n
OML Regression: https://www.oracle.com/goto/ml-regression\n
OML Generalized Linear Model (GLM): https://www.oracle.com/goto/ml-generalized-linear-model
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Bach.\t0.05335330220099545\t0.01704926956160235\t3.1293600003342967\t0.0017709393215759326\t0.052609459305764536\t0.01992207932296377\t0.08678452507902712\nEDUCATION_Assoc-A\t0.10210800660717642\t0.034583669833792095\t2.9524919448370843\t0.0031799103933482188\t0.04661948091041442\t0.03429428766887939\t0.16992172554547347\nEDUCATION_Bach.\t0.2012900452123617\t0.02388401654783683\t8.427813839820526\t5.69679294332103E-17\t0.18027728146176497\t0.1544568434996259\t0.24812324692509752\nEDUCATION_Masters\t0.25463805931366446\t0.037286712925207806\t6.829190329124334\t1.055128132688709E-11\t0.11465403034600978\t0.18152405254124454\t0.32775206608608437\nEDUCATION_PhD\t0.3134535624168838\t0.06434989585710907\t4.8710811143023\t1.1752358594399086E-6\t0.0788718017854864\t0.18727245519677166\t0.439634669636996\nEDUCATION_Profsc\t37.8101294106186\t8.328514496035764\t4.539840739740034\t5.881082449372198E-6\t12.726530934529153\t21.47908230306608\t54.14117651817112\nHOUSEHOLD_SIZE_1\t-0.2589373903352397\t0.030050151419037673\t-8.616841450296157\t1.1629111069069713E-17\t-0.22214841192472592\t-0.3178615164380375\t-0.20001326423244195\nHOUSEHOLD_SIZE_2\t-0.26602652283609113\t0.023263372048793782\t-11.435423990903535\t1.3595328596416653E-29\t-0.2723920989684368\t-0.31164272786163383\t-0.22041031781054843\nHOUSEHOLD_SIZE_4-5\t0.11212861575076345\t0.03886703728191727\t2.8849282989452565\t0.003946656884385146\t0.055640449338912136\t0.03591581488644166\t0.18834141661508524\nHOUSEHOLD_SIZE_4-5*CUST_INCOME_LEVEL_E: 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109,999\t0.4176263919434248\t0.09647468967731151\t4.328870021145456\t1.554391596846052E-5\t0.07084501156927546\t0.22845307627511288\t0.6067997076117367\nHOUSEHOLD_SIZE_6-8\t-0.29495974958888765\t0.0401989941699844\t-7.3374907924717885\t2.879265626081215E-13\t-0.1289939347460661\t-0.37378433082467993\t-0.21613516835309537\nHOUSEHOLD_SIZE_9+\t-0.25197124312222435\t0.027530605027401452\t-9.152404855303223\t1.0816718647846399E-19\t-0.18721854530712173\t-0.3059548926453079\t-0.1979875935991408\nOCCUPATION_Cleric.\t0.09932099258935827\t0.023085876505192143\t4.302240487469489\t1.7520706690067835E-5\t0.07527118947216231\t0.05405283139387898\t0.14458915378483755\nOCCUPATION_Exec.\t0.16868999003338284\t0.02346739531682837\t7.188270694550236\t8.495807098454707E-13\t0.12923701891649447\t0.12267372403623522\t0.21470625603053045\nOCCUPATION_Farming\t-0.09210069941775642\t0.042309598535713304\t-2.176827542809576\t0.029581460409103845\t-0.03432546602307433\t-0.17506387936026055\t-0.009137519475252293\nOCCUPATION_Prof.\t0.1672121791653185\t0.02562126192838681\t6.526305364376198\t8.0488346662231E-11\t0.12861641062330076\t0.11697248327398169\t0.2174518750566553\nOCCUPATION_Sales\t0.11460605836077575\t0.02172550088906306\t5.2751860104855\t1.4334082182641503E-7\t0.08987020532541597\t0.07200540267081543\t0.15720671405073608\nOCCUPATION_TechSup\t0.16968516138124556\t0.0368002796520374\t4.610974780237877\t4.198041461279999E-6\t0.07420794418593007\t0.09752498193332729\t0.24184534082916384\nYRS_RESIDENCE*CUST_GENDER_F\t-0.025714038445189696\t0.004759260827618962\t-5.402947931738871\t7.138764973350703E-8\t-0.11671092002792129\t-0.03504628044464469\t-0.016381796445734703\nYRS_RESIDENCE*YRS_RESIDENCE*CUST_YEAR_OF_BIRTH\t5.5003202770563E-6\t7.825641547193514E-7\t7.028587041568321\t2.643413125927878E-12\t0.47939406477859675\t3.9658218882395595E-6\t7.0348186658730405E-6\nYRS_RESIDENCE*YRS_RESIDENCE*YRS_RESIDENCE\t-8.117497587137902E-4\t1.3962180780470622E-4\t-5.813918122656113\t6.834062089386745E-9\t-0.35926772587863326\t-0.001085528512606291\t-5.379710048212894E-4\nY_BOX_GAMES\t-0.07759204268325315\t0.023248157839397435\t-3.3375566020874987\t8.568629248255498E-4\t-0.08480376965384402\t-0.12317841478115021\t-0.03200567058535608\n\t0.1430789022854198\t0.025274626020643575\t5.660970103714181\t1.6669702311732137E-8\t0.0\t0.09351891072085322\t0.1926388938499864\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-1557051553","id":"20200915-183828_390324251","dateCreated":"2018-02-07T02:14:43+0000","dateStarted":"2020-09-15T23:40:07+0000","dateFinished":"2020-09-15T23:40:07+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:108"},{"title":"Show model features and p-values","text":"%sql \n\nSELECT FEATURE_EXPRESSION, COEFFICIENT, P_VALUE \n FROM DM$VDGLMR_SH_REGR_SAMPLE\n ORDER BY FEATURE_EXPRESSION;","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:07+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"FEATURE_EXPRESSION","index":0,"aggr":"sum"}],"values":[{"name":"COEFFICIENT","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"COEFFICIENT","index":1,"aggr":"sum"},"xAxis":{"name":"FEATURE_EXPRESSION","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"FEATURE_EXPRESSION":"string","COEFFICIENT":"string","P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter 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189,999\t0.058420729654077956\t0.005869043063954504\nCUST_MARITAL_STATUS_NeverM\t-6.521269655443703\t0.02400886746194047\nCUST_MARITAL_STATUS_NeverM*EDUCATION_Bach.\t-0.2402908764179011\t2.29755487416868E-10\nCUST_YEAR_OF_BIRTH*CUST_MARITAL_STATUS_NeverM\t0.0033375975227636747\t0.02290264158547434\nCUST_YEAR_OF_BIRTH*EDUCATION_Profsc\t-0.0191494558854757\t6.842836634819922E-6\nEDUCATION_< Bach.\t0.05335330220099545\t0.0017709393215759326\nEDUCATION_Assoc-A\t0.10210800660717642\t0.0031799103933482188\nEDUCATION_Bach.\t0.2012900452123617\t5.69679294332103E-17\nEDUCATION_Masters\t0.25463805931366446\t1.055128132688709E-11\nEDUCATION_PhD\t0.3134535624168838\t1.1752358594399086E-6\nEDUCATION_Profsc\t37.8101294106186\t5.881082449372198E-6\nHOUSEHOLD_SIZE_1\t-0.2589373903352397\t1.1629111069069713E-17\nHOUSEHOLD_SIZE_2\t-0.26602652283609113\t1.3595328596416653E-29\nHOUSEHOLD_SIZE_4-5\t0.11212861575076345\t0.003946656884385146\nHOUSEHOLD_SIZE_4-5*CUST_INCOME_LEVEL_E: 90,000 - 109,999\t0.4176263919434248\t1.554391596846052E-5\nHOUSEHOLD_SIZE_6-8\t-0.29495974958888765\t2.879265626081215E-13\nHOUSEHOLD_SIZE_9+\t-0.25197124312222435\t1.0816718647846399E-19\nOCCUPATION_Cleric.\t0.09932099258935827\t1.7520706690067835E-5\nOCCUPATION_Exec.\t0.16868999003338284\t8.495807098454707E-13\nOCCUPATION_Farming\t-0.09210069941775642\t0.029581460409103845\nOCCUPATION_Prof.\t0.1672121791653185\t8.0488346662231E-11\nOCCUPATION_Sales\t0.11460605836077575\t1.4334082182641503E-7\nOCCUPATION_TechSup\t0.16968516138124556\t4.198041461279999E-6\nYRS_RESIDENCE*CUST_GENDER_F\t-0.025714038445189696\t7.138764973350703E-8\nYRS_RESIDENCE*YRS_RESIDENCE*CUST_YEAR_OF_BIRTH\t5.5003202770563E-6\t2.643413125927878E-12\nYRS_RESIDENCE*YRS_RESIDENCE*YRS_RESIDENCE\t-8.117497587137902E-4\t6.834062089386745E-9\nY_BOX_GAMES\t-0.07759204268325315\t8.568629248255498E-4\n\t0.1430789022854198\t1.6669702311732137E-8\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-330010870","id":"20200915-183828_2127228127","dateCreated":"2018-02-07T02:16:20+0000","dateStarted":"2020-09-15T23:40:07+0000","dateFinished":"2020-09-15T23:40:08+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:109"},{"title":"Apply GLM model to predict YRS_RESIDENCE with Prediction_Details","text":"%sql\n\n-- Make predictions with upper and lower bounds and include explanatory prediction details\nSELECT CUST_ID,\n round(PREDICTION_YRS_RES,3) PRED_YRS_RES,\n round(PRED_LOWER_LIMIT,3) LOWER_PRED,\n round(PRED_UPPER_LIMIT,3) HIGHER_PRED,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute1\",17,100)),'rank=\"1\"/>') FIRST_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute2\",17,100)),'rank=\"2\"/>') SECOND_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute3\",17,100)),'rank=\"3\"/>') THIRD_ATTRIBUTE,\n RTRIM(TRIM(SUBSTR(OUTPRED.\"Attribute4\",17,100)),'rank=\"4\"/>') FOURTH_ATTRIBUTE\n FROM (SELECT CUST_ID,\n PREDICTION(GLMR_SH_REGR_SAMPLE USING *) PREDICTION_YRS_RES,\n PREDICTION_BOUNDS(GLMR_SH_REGR_SAMPLE USING *).LOWER PRED_LOWER_LIMIT,\n PREDICTION_BOUNDS(GLMR_SH_REGR_SAMPLE USING *).UPPER PRED_UPPER_LIMIT,\n PREDICTION_DETAILS(GLMR_SH_REGR_SAMPLE USING *) PD\n FROM TEST_DATA_V\n WHERE CUST_ID < 100015\n ORDER BY CUST_ID) OUT,\n XMLTABLE('/Details'\n PASSING OUT.PD\n COLUMNS \n \"Attribute1\" XMLType PATH 'Attribute[1]',\n \"Attribute2\" XMLType PATH 'Attribute[2]',\n \"Attribute3\" XMLType PATH 'Attribute[3]',\n \"Attribute4\" XMLType PATH 'Attribute[4]') \n OUTPRED; ","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:14+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"PR","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"PR","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED_YRS_RES":"string","LOWER_PRED":"string","HIGHER_PRED":"string","FIRST_ATTRIBUTE":"string","SECOND_ATTRIBUTE":"string","THIRD_ATTRIBUTE":"string","FOURTH_ATTRIBUTE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"default"}},"commonSetting":{},"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"PRED_YRS_RES","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPRED_YRS_RES\tLOWER_PRED\tHIGHER_PRED\tFIRST_ATTRIBUTE\tSECOND_ATTRIBUTE\tTHIRD_ATTRIBUTE\tFOURTH_ATTRIBUTE\n100002\t0.05\t-0.02\t0.121\t\"OCCUPATION\" actualValue=\"Prof.\" weight=\".286\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".129\" \t\"YRS_RESIDENCE\" actualValue=\"4\" weight=\".101\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1962\" weight=\".091\" \n100003\t0.31\t0.246\t0.374\t\"OCCUPATION\" actualValue=\"Sales\" weight=\"-.048\" \t\"YRS_RESIDENCE\" actualValue=\"6\" weight=\"-.069\" \t\"EDUCATION\" actualValue=\"< Bach.\" weight=\"-.105\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\"-.107\" \n100007\t0.013\t-0.053\t0.08\t\"OCCUPATION\" actualValue=\"Other\" weight=\".253\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".172\" \t\"YRS_RESIDENCE\" actualValue=\"5\" weight=\".169\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1963\" weight=\".145\" \n100008\t0.126\t0.069\t0.182\t\"EDUCATION\" actualValue=\"< Bach.\" weight=\".149\" \t\"YRS_RESIDENCE\" actualValue=\"5\" weight=\".134\" \t\"CUST_MARITAL_STATUS\" actualValue=\"NeverM\" weight=\".092\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\".088\" \n100010\t0.141\t0.094\t0.189\t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1975\" weight=\".02\" \t\"YRS_RESIDENCE\" actualValue=\"3\" weight=\"-.459\" \t\"Y_BOX_GAMES\" actualValue=\"1\" weight=\"-.52\" \t\n100012\t0.745\t0.622\t0.868\t\"EDUCATION\" actualValue=\"PhD\" weight=\"-.115\" \t\"OCCUPATION\" actualValue=\"Prof.\" weight=\"-.174\" \t\"Y_BOX_GAMES\" actualValue=\"0\" weight=\"-.23\" \t\"CUST_YEAR_OF_BIRTH\" actualValue=\"1968\" weight=\"-.24\" \n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-1430755108","id":"20200915-183828_1845084336","dateCreated":"2018-02-06T15:44:16+0000","dateStarted":"2020-09-15T23:40:08+0000","dateFinished":"2020-09-15T23:40:08+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:110"},{"title":"Show the GLM model predictions vs actuals","text":"%sql\n\n-- Show predictions vs. actuals. The predictions look good.\n\nSELECT CUST_ID,\n round(PREDICTION(GLMR_SH_REGR_SAMPLE USING *), 1) PRED_YRS_RESIDENCE,\n YRS_RESIDENCE ACTUAL_YRS_RESIDENCE\n FROM TEST_DATA_V\n WHERE CUST_ID <= 100030\n ORDER BY CUST_ID;","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:08+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":true,"setting":{"multiBarChart":{"stacked":false},"scatterChart":{"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"},"yAxis":{"name":"PREDICTED","index":1,"aggr":"sum"}},"lineChart":{},"table":{"tableGridState":{"columns":[{"name":"CUST_ID","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"PRED_YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""},{"name":"ACTUAL_YRS_RESIDENCE","visible":true,"width":"*","sort":{},"filters":[{}],"pinned":""}],"scrollFocus":{},"selection":[],"grouping":{"grouping":[],"aggregations":[],"rowExpandedStates":{}},"treeView":{},"pagination":{"paginationCurrentPage":1,"paginationPageSize":250}},"tableColumnTypeState":{"names":{"CUST_ID":"string","PRED_YRS_RESIDENCE":"string","ACTUAL_YRS_RESIDENCE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable 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the GLM model predictions vs actuals grouped by HOUSE_HOLD_SIZE","text":"%sql\n\n-- Show predictions vs. actuals in a scatter plot grouped by HOUSE_HOLD_SIZE. \n-- Click the scatter plot icon and drag PRED_YRS_RESIDENCE to xAxis, ACTUAL_YRS_RESIDENCE to yAxis and HOUSEHOLD_SIZE to group.\n\nSELECT CUST_ID,\n round(PREDICTION(GLMR_SH_REGR_SAMPLE USING *), 1) PRED_YRS_RESIDENCE,\n YRS_RESIDENCE ACTUAL_YRS_RESIDENCE, CUST_GENDER, HOUSEHOLD_SIZE\n FROM TEST_DATA_V\n ORDER BY 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Create Regression Model using Settings Table\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:09+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Create Regression Model using Settings Table
\nThe settings table is an alternative way to specify algorithm settings to build the model. We first drop the settings table, create it, and then populate it with settings before building the model.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_1105602152","id":"20200915-183828_650308846","dateCreated":"2020-05-18T23:44:23+0000","dateStarted":"2020-09-15T23:40:10+0000","dateFinished":"2020-09-15T23:40:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:113"},{"title":"Drop previous settings and output tables","text":"%script \n\n-- Drop any previous GLM Model Settings table for notebook repeatability\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE GLMR_SETTINGS';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n-- Drop any previous Model Diagnostics table for notebook repeatability\nBEGIN EXECUTE IMMEDIATE 'DROP TABLE GLMR_DIAG';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:10+0000","config":{"colWidth":8,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_338659802","id":"20200915-183828_85804230","dateCreated":"2018-02-06T19:32:52+0000","dateStarted":"2020-09-15T23:40:10+0000","dateFinished":"2020-09-15T23:40:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:114"},{"title":"Create GLM model settings table","text":"%sql\n\n--Create Model Settings Table\nCREATE TABLE GLMR_SETTINGS (\n SETTING_NAME VARCHAR2(30),\n SETTING_VALUE VARCHAR2(4000));","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:10+0000","config":{"tableHide":false,"colWidth":4,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195108983_832456073","id":"20200915-183828_1661464252","dateCreated":"2018-02-06T15:27:45+0000","dateStarted":"2020-09-15T23:40:10+0000","dateFinished":"2020-09-15T23:40:10+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:115"},{"title":"Define model settings for automated data preparation and feature selection","text":"%script \n\nBEGIN \n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.ALGO_NAME, DBMS_DATA_MINING.ALGO_GENERALIZED_LINEAR_MODEL);\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.PREP_AUTO, DBMS_DATA_MINING.PREP_AUTO_ON); \n\n-- output row diagnostic statistics into a table named GLMC_SH_SAMPLE_DIAG \n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_DIAGNOSTICS_TABLE_NAME, 'GLMR_SH_SAMPLE_DIAG'); \n-- turn on feature selection\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_FTR_SELECTION, DBMS_DATA_MINING.GLMS_FTR_SELECTION_ENABLE);\n-- turn on feature generation\n INSERT INTO GLMR_SETTINGS (SETTING_NAME, SETTING_VALUE) VALUES (DBMS_DATA_MINING.GLMS_FTR_GENERATION, DBMS_DATA_MINING.GLMS_FTR_GENERATION_ENABLE);\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:11+0000","config":{"colWidth":12,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/plsql","results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-1673848594","id":"20200915-183828_1457239612","dateCreated":"2018-02-06T15:27:49+0000","dateStarted":"2020-09-15T23:40:11+0000","dateFinished":"2020-09-15T23:40:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:116"},{"text":"%md\nAdditional examples of possible setting overrides are shown below. \n\nIf the user does not override the default settings, then relevant settings are determined by the algorithm\n-- Specify a row weight column \n (dbms_data_mining.odms_row_weight_column_name,);\n-- specify a missing value treatment method:\n Default: replace with mean (numeric features) or \n mode (categorical features) \n or delete the row\n (dbms_data_mining.odms_missing_value_treatment, dbms_data_mining.odms_missing_value_delete_row);\n-- turn ridge regression on or off \n By default the system turns it on if there is a multicollinearity\n (dbms_data_mining.glms_ridge_regression, dbms_data_mining.glms_ridge_reg_enable); ","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:11+0000","config":{"tableHide":false,"colWidth":6,"editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/markdown","results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Additional examples of possible setting overrides are shown below.
\nIf the user does not override the default settings, then relevant settings are determined by the algorithm\n
– Specify a row weight column
\n(dbms_data_mining.odms_row_weight_column_name,<row_weight_column_name>);\n
\n– specify a missing value treatment method:
\n Default: replace with mean (numeric features) or \n mode (categorical features) \n or delete the row\n(dbms_data_mining.odms_missing_value_treatment, dbms_data_mining.odms_missing_value_delete_row);\n
\n– turn ridge regression on or off
\n By default the system turns it on if there is a multicollinearity\n(dbms_data_mining.glms_ridge_regression, dbms_data_mining.glms_ridge_reg_enable);\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-2125135076","id":"20200915-183828_1741653397","dateCreated":"2018-02-06T15:27:52+0000","dateStarted":"2020-09-15T23:40:11+0000","dateFinished":"2020-09-15T23:40:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:117"},{"title":"Drop, then build a GLM regression model for predicting YRS_RESIDENCE","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('GLMR_SH_REGR_SAMPLE');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nDECLARE\n V_XLST DBMS_DATA_MINING_TRANSFORM.TRANSFORM_LIST;\n \nBEGIN\n DBMS_DATA_MINING.CREATE_MODEL(\n MODEL_NAME => 'GLMR_SH_REGR_SAMPLE',\n MINING_FUNCTION => DBMS_DATA_MINING.REGRESSION,\n DATA_TABLE_NAME => 'TRAIN_DATA_V',\n CASE_ID_COLUMN_NAME => 'CUST_ID',\n TARGET_COLUMN_NAME => 'YRS_RESIDENCE',\n SETTINGS_TABLE_NAME => 'GLMR_SETTINGS',\n XFORM_LIST => V_XLST);\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:11+0000","config":{"colWidth":6,"editorMode":"ace/mode/plsql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-1687812376","id":"20200915-183828_144430814","dateCreated":"2018-02-06T15:30:56+0000","dateStarted":"2020-09-15T23:40:12+0000","dateFinished":"2020-09-15T23:40:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:118"},{"text":"%md\n## End of Script","user":"OMLUSER","dateUpdated":"2020-09-15T23:40:14+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of Script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195108983_-213169907","id":"20200915-183828_1412807551","dateCreated":"2020-05-18T23:45:47+0000","dateStarted":"2020-09-15T23:40:14+0000","dateFinished":"2020-09-15T23:40:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:119"}],"name":"OML4SQL Regression","id":"468019","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
diff --git a/machine-learning/notebooks/sql/OML4SQL_Statistical_Functions.json b/machine-learning/notebooks/sql/OML4SQL_Statistical_Functions.json
index fbcdebba..7df42761 100644
--- a/machine-learning/notebooks/sql/OML4SQL_Statistical_Functions.json
+++ b/machine-learning/notebooks/sql/OML4SQL_Statistical_Functions.json
@@ -1 +1 @@
-{"paragraphs":[{"text":"%md\n## Oracle Machine Learning notebook for SQL Statistical Functions\n\nIn this notebook, you will use the SH schema data to to explore descriptive and comparative statistics performed inside Oracle Autonomous Database. For the machine learning examples, please see companion notebooks.\n\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.","user":"MARK","dateUpdated":"2020-02-07T20:40:50+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle Machine Learning notebook for SQL Statistical Functions
\nIn this notebook, you will use the SH schema data to to explore descriptive and comparative statistics performed inside Oracle Autonomous Database. For the machine learning examples, please see companion notebooks.
\nCopyright (c) 2020 Oracle and/or its affiliates. All rights reserved.
\n"}]},"jobName":"paragraph_1581008690183_2137594714","id":"20200206-170450_1258338281","dateCreated":"2018-02-04T02:24:52+0000","dateStarted":"2020-02-07T20:40:50+0000","dateFinished":"2020-02-07T20:40:50+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:146"},{"text":"%md\n\n\n
","user":"MARK","dateUpdated":"2020-02-07T20:40:50+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":120},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"jobName":"paragraph_1581008690183_-66693422","id":"20200206-170450_650780093","dateCreated":"2018-02-05T22:03:29+0000","dateStarted":"2020-02-07T20:40:51+0000","dateFinished":"2020-02-07T20:40:51+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:147"},{"title":"For more information...","text":"%md \n\nOracle ADW Documentation \nFor statistical functions in the Documentation, start here: \nOracle Machine Learning folder on Github \nOracle Machine Learning web page: ","user":"MARK","dateUpdated":"2020-02-07T20:40:51+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
For statistical functions in the Documentation, start here: https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/STATS_T_TEST_.html\n
Oracle Machine Learning folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
Oracle Machine Learning web page: https://www.oracle.com/machine-learning
\n"}]},"jobName":"paragraph_1581008690183_1615075164","id":"20200206-170450_1558792053","dateCreated":"2018-02-04T02:25:36+0000","dateStarted":"2020-02-07T20:40:52+0000","dateFinished":"2020-02-07T20:40:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:148"},{"title":"Display the SH.CUSTOMERS data","text":"%sql\n\nSELECT * FROM SH.CUSTOMERS;","user":"MARK","dateUpdated":"2020-02-07T20:40:52+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"CUST_FIRST_NAME","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"CUST_FIRST_NAME","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_GENDER":"string","CUST_YEAR_OF_BIRTH":"string","CUST_MARITAL_STATUS":"string","CUST_STREET_ADDRESS":"string","CUST_POSTAL_CODE":"string","CUST_CITY":"string","CUST_CITY_ID":"string","CUST_STATE_PROVINCE":"string","CUST_STATE_PROVINCE_ID":"string","COUNTRY_ID":"string","CUST_MAIN_PHONE_NUMBER":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","CUST_EMAIL":"string","CUST_TOTAL":"string","CUST_TOTAL_ID":"string","CUST_SRC_ID":"string","CUST_EFF_FROM":"string","CUST_EFF_TO":"string","CUST_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_GENDER\tCUST_YEAR_OF_BIRTH\tCUST_MARITAL_STATUS\tCUST_STREET_ADDRESS\tCUST_POSTAL_CODE\tCUST_CITY\tCUST_CITY_ID\tCUST_STATE_PROVINCE\tCUST_STATE_PROVINCE_ID\tCOUNTRY_ID\tCUST_MAIN_PHONE_NUMBER\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tCUST_EMAIL\tCUST_TOTAL\tCUST_TOTAL_ID\tCUST_SRC_ID\tCUST_EFF_FROM\tCUST_EFF_TO\tCUST_VALID\n49671\tAbigail\tRuddy\tM\t1976\tmarried\t27 North Sagadahoc Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t519-236-6123\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3228\tAbigail\tRuddy\tM\t1964\t\t37 West Geneva Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t327-194-5008\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6783\tAbigail\tRuddy\tM\t1942\tsingle\t47 Toa Alta Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t288-613-9676\tG: 130,000 - 149,999\t11000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10338\tAbigail\tRuddy\tM\t1977\tmarried\t47 South Kanabec Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t222-269-1259\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13894\tAbigail\tRuddy\tM\t1949\t\t57 North 3rd Drive\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t675-133-2226\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17449\tAbigail\tRuddy\tM\t1950\tsingle\t67 East Mcintosh Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t183-207-2933\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21005\tAbigail\tRuddy\tM\t1946\tmarried\t77 Bradford Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t129-379-7148\tG: 130,000 - 149,999\t3000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24561\tAbigail\tRuddy\tM\t1978\t\t77 North Packard Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t689-236-7611\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n28116\tAbigail\tRuddy\tM\t1949\tsingle\t87 West Coshocton Avenue\t71349\tHaarlem\t51644\tNoord-Holland\t52683\t52770\t208-194-6025\tG: 130,000 - 149,999\t11000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31671\tAbigail\tRuddy\tM\t1951\tmarried\t97 Sagadahoc Avenue\t55056\tBolton\t51205\tEngland - Greater Manchester\t52590\t52789\t391-613-8000\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35227\tAbigail\tRuddy\tM\t1948\t\t97 South Geneva Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t587-269-1680\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36117\tAbner\tEverett\tM\t1954\t\t107 Covington Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t258-692-7934\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39672\tAbner\tEverett\tM\t1975\tmarried\t107 North Saguache Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t167-248-1619\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43228\tAbner\tEverett\tM\t1957\tmarried\t117 West Gloucester Avenue\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t620-711-8237\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25470\tAbner\tEverett\tM\t1966\tsingle\t17 West Mckenzie Court\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t103-711-9009\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47006\tAbner\tEverett\tM\t1985\t\t27 East Braxton Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t454-716-5260\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50561\tAbner\tEverett\tM\t1960\tmarried\t27 South Page Boulevard\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t526-349-7669\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4117\tAbner\tEverett\tM\t1972\tsingle\t37 North Covington Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t155-204-1940\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7673\tAbner\tEverett\tM\t1988\t\t47 East Saguache Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t230-226-8711\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11228\tAbner\tEverett\tM\t1956\tmarried\t57 Gloucester Drive\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t630-692-5246\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14784\tAbner\tEverett\tM\t1957\t\t57 North Todd Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t361-248-7857\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18339\tAbner\tEverett\tM\t1979\tmarried\t67 West Kaufman Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t229-711-2551\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12112\tAbner\tEverett\tM\t1963\tmarried\t7 South 5th Circle\t58488\tDolores\t51391\tCO\t52569\t52790\t570-248-9913\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21894\tAbner\tEverett\tM\t1977\tmarried\t77 East 5th Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t166-716-4030\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25451\tAbner\tEverett\tM\t1955\t\t77 South Mckenzie Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t650-349-6961\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29006\tAbner\tEverett\tM\t1951\tsingle\t87 North Braxton Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t629-204-7324\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32561\tAbner\tEverett\tM\t1969\tmarried\t97 East Page Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t513-226-7500\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38784\tAbner\tKenney\tM\t1959\t\t107 West Todd Avenue\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t173-226-3225\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42339\tAbner\tKenney\tM\t1964\tmarried\t117 East Kaufman Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t319-692-5625\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16581\tAbner\tKenney\tM\t1986\t\t17 East Page Court\t45704\tMackville\t51890\tKY\t52632\t52790\t503-692-4047\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46117\tAbner\tKenney\tM\t1961\tsingle\t27 Covington Boulevard\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t411-248-7242\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49672\tAbner\tKenney\tM\t1963\tmarried\t27 North Saguache Boulevard\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t563-711-6988\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3229\tAbner\tKenney\tM\t1958\tmarried\t37 West Gloucester Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t399-716-2429\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6784\tAbner\tKenney\tM\t1964\tsingle\t47 Todd Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t681-349-2026\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10339\tAbner\tKenney\tM\t1961\tmarried\t47 South Kaufman Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t556-204-9439\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13895\tAbner\tKenney\tM\t1983\tmarried\t57 North 5th Drive\t75603\tPalmdale\t52102\tFL\t52595\t52790\t444-226-8453\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17450\tAbner\tKenney\tM\t1984\tsingle\t67 East Mckenzie Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t276-692-6066\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21006\tAbner\tKenney\tM\t1957\tsingle\t77 Braxton Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t119-248-1644\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24562\tAbner\tKenney\tM\t1960\tmarried\t77 North Page Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t498-711-5332\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28117\tAbner\tKenney\tM\t1957\t\t87 West Covington Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t636-716-9795\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31672\tAbner\tKenney\tM\t1950\tsingle\t97 Saguache Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t569-349-9468\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35228\tAbner\tKenney\tM\t1952\tmarried\t97 South Gloucester Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t537-204-8513\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37006\tAbner\tRobbinette\tM\t1953\tsingle\t107 East Braxton Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t572-711-6909\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40561\tAbner\tRobbinette\tM\t1959\tmarried\t107 South Page Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t159-716-9696\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44116\tAbner\tRobbinette\tM\t1956\t\t117 North Covington Avenue\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t527-349-4493\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34359\tAbner\tRobbinette\tM\t1971\tmarried\t17 North Kaufman Court\t54845\tHaswell\t51651\tCO\t52569\t52790\t593-349-9980\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47895\tAbner\tRobbinette\tM\t1963\tmarried\t27 West 5th Boulevard\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t379-204-8906\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1451\tAbner\tRobbinette\tM\t1962\tsingle\t37 Mckenzie Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t652-226-5722\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5006\tAbner\tRobbinette\tM\t1989\t\t37 South Braxton Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t304-692-9126\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8561\tAbner\tRobbinette\tM\t1980\tmarried\t47 West Page Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t459-248-8164\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12118\tAbner\tRobbinette\tM\t1968\tsingle\t57 East Covington Drive\t67272\tCloverdale\t51334\tCA\t52567\t52790\t252-711-7989\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15673\tAbner\tRobbinette\tM\t1958\tsingle\t57 South Saguache Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t254-716-6847\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19228\tAbner\tRobbinette\tM\t1981\tmarried\t67 North Gloucester Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t157-349-8214\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48803\tAbner\tRobbinette\tM\t1978\tsingle\t7 South Todd Circle\t55787\tMontara\t51919\tCA\t52567\t52790\t439-716-9572\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22783\tAbner\tRobbinette\tM\t1961\tsingle\t77 East Todd Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t285-204-9202\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26339\tAbner\tRobbinette\tM\t1958\tsingle\t87 Kaufman Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t184-226-5466\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29895\tAbner\tRobbinette\tM\t1958\tmarried\t87 South 5th Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t355-692-1044\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33450\tAbner\tRobbinette\tM\t1982\tsingle\t97 West Mckenzie Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t104-248-2471\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37895\tAbner\tRossellett\tM\t1955\tmarried\t107 West 5th Avenue\t71750\tSalthill\t52287\tGalway\t52608\t52772\t606-349-8512\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41450\tAbner\tRossellett\tM\t1964\tsingle\t117 Mckenzie Avenue\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t651-204-7767\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45005\tAbner\tRossellett\tM\t1960\tsingle\t117 South Braxton Avenue\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t290-226-3064\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7692\tAbner\tRossellett\tM\t1967\tmarried\t17 Saguache Court\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t314-204-8900\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43247\tAbner\tRossellett\tM\t1973\tmarried\t17 South Gloucester Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t680-226-9336\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48784\tAbner\tRossellett\tM\t1962\tsingle\t27 West Todd Boulevard\t74342\tLisburn\t51799\tNorthern Ireland - County Antr\t52686\t52789\t576-692-7085\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2340\tAbner\tRossellett\tM\t1959\tsingle\t37 East Kaufman Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t660-248-8364\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5895\tAbner\tRossellett\tM\t1955\tmarried\t47 5th Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t340-711-3082\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9450\tAbner\tRossellett\tM\t1974\tsingle\t47 North Mckenzie Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t477-716-6896\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13006\tAbner\tRossellett\tM\t1965\tmarried\t57 West Braxton Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t613-349-1702\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16562\tAbner\tRossellett\tM\t1976\tmarried\t67 Page Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t110-204-8560\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20117\tAbner\tRossellett\tM\t1970\tsingle\t67 South Covington Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t143-226-5436\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23673\tAbner\tRossellett\tM\t1987\t\t77 West Saguache Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t511-692-9507\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27228\tAbner\tRossellett\tM\t1956\tmarried\t87 East Gloucester Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t663-248-6591\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30783\tAbner\tRossellett\tM\t1959\t\t87 South Todd Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t552-711-4706\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36115\tAbel\tAaron\tM\t1936\tmarried\t107 Corson Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t692-104-2604\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39670\tAbel\tAaron\tM\t1953\t\t107 North Sacramento Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t335-101-4526\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43226\tAbel\tAaron\tM\t1980\tsingle\t117 West Genesee Avenue\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t602-520-2778\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25448\tAbel\tAaron\tM\t1929\tmarried\t17 West McHenry Court\t87901\tPetaling Jaya\t52109\tSelangor\t52738\t52769\t325-520-9067\tB: 30,000 - 49,999\t7000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47004\tAbel\tAaron\tM\t1939\t\t27 East Boyd Boulevard\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t416-509-5527\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50559\tAbel\tAaron\tM\t1970\tsingle\t27 South Pacific Boulevard\t37842\tStockport\t52327\tEngland - Greater Manchester\t52590\t52789\t540-233-7525\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4115\tAbel\tAaron\tM\t1968\tmarried\t37 North Corson Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t623-667-6791\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7671\tAbel\tAaron\tM\t1928\t\t47 East Sacramento Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t536-469-7806\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11226\tAbel\tAaron\tM\t1942\tsingle\t57 Genesee Drive\t45142\tDelhi\t51384\tDelhi\t52578\t52771\t499-104-5506\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14782\tAbel\tAaron\tM\t1960\tmarried\t57 North Tioga Drive\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t398-101-5334\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18337\tAbel\tAaron\tM\t1945\t\t67 West Juniata Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t694-520-6052\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21892\tAbel\tAaron\tM\t1966\tsingle\t77 Zapata Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t495-509-2740\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25449\tAbel\tAaron\tM\t1948\tmarried\t77 South McHenry Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t237-233-7990\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29004\tAbel\tAaron\tM\t1969\t\t87 North Boyd Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t424-667-5127\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32559\tAbel\tAaron\tM\t1962\tsingle\t97 East Pacific Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t507-469-8894\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37004\tAbel\tEmbrey\tM\t1926\t\t107 East Boyd Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t185-520-5285\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40559\tAbel\tEmbrey\tM\t1932\tsingle\t107 South Pacific Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t489-509-3814\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44114\tAbel\tEmbrey\tM\t1946\tmarried\t117 North Corson Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t555-233-8158\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34337\tAbel\tEmbrey\tM\t1959\t\t17 North Juniata Court\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t493-233-8071\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47893\tAbel\tEmbrey\tM\t1922\tsingle\t27 East Zapata Boulevard\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t175-667-5441\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1449\tAbel\tEmbrey\tM\t1972\tmarried\t37 McHenry Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t131-469-9161\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5004\tAbel\tEmbrey\tM\t1934\t\t37 South Boyd Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t367-104-7648\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8559\tAbel\tEmbrey\tM\t1940\tsingle\t47 West Pacific Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t305-101-2637\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12116\tAbel\tEmbrey\tM\t1931\tmarried\t57 East Corson Drive\t74903\tArnhem\t51071\tGelderland\t52610\t52770\t401-520-6150\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15671\tAbel\tEmbrey\tM\t1973\t\t57 South Sacramento Drive\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t628-509-4754\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19226\tAbel\tEmbrey\tM\t1944\tsingle\t67 North Genesee Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t339-233-1774\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48781\tAbel\tEmbrey\tM\t1971\tmarried\t7 South Tioga Circle\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t300-509-2752\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22781\tAbel\tEmbrey\tM\t1941\tmarried\t77 East Tioga Avenue\t44792\tEdam\t51441\tNoord-Holland\t52683\t52770\t575-667-3134\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26337\tAbel\tEmbrey\tM\t1938\t\t87 Juniata Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t346-469-2772\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29893\tAbel\tEmbrey\tM\t1958\tsingle\t87 North Zapata Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t136-104-9447\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33448\tAbel\tEmbrey\tM\t1964\tmarried\t97 West Mchenry Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t611-101-8908\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37893\tAbel\tVance\tM\t1954\tsingle\t107 East Zapata Avenue\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t472-233-3035\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41448\tAbel\tVance\tM\t1949\tmarried\t117 McHenry Avenue\t32099\tClifden\t51331\tGalway\t52608\t52772\t533-667-3664\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45003\tAbel\tVance\tM\t1955\t\t117 South Boyd Avenue\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t224-469-4640\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7670\tAbel\tVance\tM\t1965\t\t17 Sacramento Court\t41616\tRuinen\t52177\tDrenthe\t52579\t52770\t113-667-4744\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43225\tAbel\tVance\tM\t1956\tsingle\t17 South Genesee Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t213-469-2022\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48782\tAbel\tVance\tM\t1967\tmarried\t27 West Tioga Boulevard\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t485-104-3780\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2338\tAbel\tVance\tM\t1961\t\t37 East Juniata Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t193-101-9192\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5893\tAbel\tVance\tM\t1978\tsingle\t37 South Zapata Street\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t490-520-2691\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9448\tAbel\tVance\tM\t1947\tmarried\t47 North McHenry Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t123-509-2107\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13004\tAbel\tVance\tM\t1950\t\t57 West Boyd Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t303-233-6427\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16560\tAbel\tVance\tM\t1935\tsingle\t67 Pacific Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t562-667-8611\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20115\tAbel\tVance\tM\t1937\tmarried\t67 South Corson Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t296-469-9294\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23671\tAbel\tVance\tM\t1937\t\t77 West Sacramento Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t655-104-6876\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27226\tAbel\tVance\tM\t1933\tsingle\t87 East Genesee Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t482-101-8372\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30781\tAbel\tVance\tM\t1977\tmarried\t87 South Tioga Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t197-520-7884\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34338\tAbel\tVance\tM\t1952\t\t97 North Juniata Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t447-509-8701\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38782\tAbel\tWalsh\tM\t1924\tmarried\t107 West Tioga Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t597-469-7628\tB: 30,000 - 49,999\t7000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42337\tAbel\tWalsh\tM\t1963\t\t117 East Juniata Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t582-104-6232\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16559\tAbel\tWalsh\tM\t1925\tsingle\t17 East Pacific Court\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t153-104-3047\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46115\tAbel\tWalsh\tM\t1974\tmarried\t27 Corson Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t227-101-3184\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49670\tAbel\tWalsh\tM\t1975\t\t27 North Sacramento Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t474-520-3415\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3227\tAbel\tWalsh\tM\t1930\tsingle\t37 West Genesee Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t595-509-8558\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6782\tAbel\tWalsh\tM\t1951\tmarried\t47 Tioga Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t168-233-8162\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10337\tAbel\tWalsh\tM\t1921\t\t47 South Juniata Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t180-667-5648\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13893\tAbel\tWalsh\tM\t1941\tsingle\t57 West Zapata Drive\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t659-469-7856\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17448\tAbel\tWalsh\tM\t1943\tmarried\t67 East McHenry Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t386-104-2423\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21004\tAbel\tWalsh\tM\t1923\t\t77 Boyd Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t516-101-9098\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24560\tAbel\tWalsh\tM\t1928\tsingle\t77 North Pacific Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t678-520-3884\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n28115\tAbel\tWalsh\tM\t1927\tmarried\t87 West Corson Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t128-509-9335\tB: 30,000 - 49,999\t7000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31670\tAbel\tWalsh\tM\t1957\t\t97 Sacramento Avenue\t80563\tDiemen\t51387\tNoord-Holland\t52683\t52770\t699-233-7349\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35226\tAbel\tWalsh\tM\t1976\tsingle\t97 South Genesee Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t684-667-4819\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37894\tAbigail\tGrimes\tM\t1974\t\t107 West 3rd Avenue\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t670-613-8694\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41449\tAbigail\tGrimes\tM\t1967\tsingle\t117 Mcintosh Avenue\t32099\tClifden\t51331\tGalway\t52608\t52772\t617-269-4886\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45004\tAbigail\tGrimes\tM\t1951\tmarried\t117 South Bradford Avenue\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t390-133-4233\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7681\tAbigail\tGrimes\tM\t1944\tmarried\t17 Sagadahoc Court\t72513\tManchester\t51896\tEngland - Greater Manchester\t52590\t52789\t108-269-9166\tG: 130,000 - 149,999\t3000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43236\tAbigail\tGrimes\tM\t1968\t\t17 South Geneva Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t348-133-3197\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48783\tAbigail\tGrimes\tM\t1984\tsingle\t27 West Toa Alta Boulevard\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t561-207-9052\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2339\tAbigail\tGrimes\tM\t1944\tmarried\t37 East Kanabec Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t583-379-6038\tG: 130,000 - 149,999\t3000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5894\tAbigail\tGrimes\tM\t1949\t\t47 3rd Road\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t307-236-8072\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9449\tAbigail\tGrimes\tM\t1975\tsingle\t47 North Mcintosh Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t463-194-5387\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13005\tAbigail\tGrimes\tM\t1973\tmarried\t57 West Bradford Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t233-613-2493\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16561\tAbigail\tGrimes\tM\t1943\t\t67 Packard Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t487-269-2253\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20116\tAbigail\tGrimes\tM\t1947\tsingle\t67 South Coshocton Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t298-133-8666\tG: 130,000 - 149,999\t11000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23672\tAbigail\tGrimes\tM\t1965\tmarried\t77 West Sagadahoc Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t568-207-4643\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27227\tAbigail\tGrimes\tM\t1950\t\t87 East Geneva Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t132-379-3159\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30782\tAbigail\tGrimes\tM\t1971\tsingle\t87 South Toa Alta Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t330-236-5302\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34339\tAbigail\tGrimes\tM\t1953\tmarried\t97 North Kanabec Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t624-194-9281\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37005\tAbigail\tHusky\tM\t1947\tmarried\t107 East Bradford Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t608-236-4268\tG: 130,000 - 149,999\t3000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40560\tAbigail\tHusky\tM\t1962\t\t107 South Packard Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t668-194-9928\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44115\tAbigail\tHusky\tM\t1981\tsingle\t117 North Coshocton Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t380-613-8241\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34348\tAbigail\tHusky\tM\t1954\tmarried\t17 North Kanabec Court\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t109-613-9345\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47894\tAbigail\tHusky\tM\t1960\t\t27 West 3rd Boulevard\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t101-269-7110\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1450\tAbigail\tHusky\tM\t1945\tsingle\t37 Mcintosh Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t677-133-4062\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5005\tAbigail\tHusky\tM\t1979\tmarried\t37 South Bradford Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t265-207-5108\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8560\tAbigail\tHusky\tM\t1980\t\t47 West Packard Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t170-379-7858\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12117\tAbigail\tHusky\tM\t1945\tsingle\t57 East Coshocton Drive\t69812\tMerton\t51911\tEngland - Greater London\t52589\t52789\t332-236-4447\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15672\tAbigail\tHusky\tM\t1956\tmarried\t57 South Sagadahoc Drive\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t551-194-8835\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19227\tAbigail\tHusky\tM\t1941\t\t67 North Geneva Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t187-613-7403\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48792\tAbigail\tHusky\tM\t1959\tsingle\t7 South Toa Alta Circle\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t405-194-9055\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22782\tAbigail\tHusky\tM\t1946\tsingle\t77 East Toa Alta Avenue\t85965\tAmstelveen\t51063\tUtrecht\t52750\t52770\t446-269-2415\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26338\tAbigail\tHusky\tM\t1948\tmarried\t87 Kanabec Avenue\t80601\tSao Jose dos Campos\t52294\tSao Paulo\t52735\t52775\t122-133-8393\tG: 130,000 - 149,999\t3000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29894\tAbigail\tHusky\tM\t1943\t\t87 South 3rd Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t383-207-2601\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33449\tAbigail\tHusky\tM\t1948\tsingle\t97 West Mcintosh Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t400-379-3430\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36116\tAbigail\tKessel\tM\t1948\tsingle\t107 Coshocton Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t609-207-9951\tG: 130,000 - 149,999\t11000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39671\tAbigail\tKessel\tM\t1982\tmarried\t107 North Sagadahoc Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t574-379-2372\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43227\tAbigail\tKessel\tM\t1957\t\t117 West Geneva Avenue\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t338-236-6193\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25459\tAbigail\tKessel\tM\t1947\tsingle\t17 West Mcintosh Court\t91213\tSecunderabad\t52303\tAndhra Pradesh\t52547\t52771\t317-236-5172\tG: 130,000 - 149,999\t11000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47005\tAbigail\tKessel\tM\t1951\tmarried\t27 East Bradford Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t481-194-2262\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50560\tAbigail\tKessel\tM\t1970\t\t27 South Packard Boulevard\t37842\tStockport\t52327\tEngland - Greater Manchester\t52590\t52789\t644-613-7359\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4116\tAbigail\tKessel\tM\t1961\tsingle\t37 North Coshocton Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t189-269-2453\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7672\tAbigail\tKessel\tM\t1972\tmarried\t47 East Sagadahoc Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t664-133-3881\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11227\tAbigail\tKessel\tM\t1966\t\t57 Geneva Drive\t45142\tDelhi\t51384\tDelhi\t52578\t52771\t431-207-9962\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14783\tAbigail\tKessel\tM\t1983\tsingle\t57 North Toa Alta Drive\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t504-379-9651\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18338\tAbigail\tKessel\tM\t1952\tmarried\t67 West Kanabec Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t350-236-9902\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1\tAbigail\tKessel\tM\t1946\t\t7 South 3rd Circle\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t127-379-8954\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21893\tAbigail\tKessel\tM\t1955\t\t77 East 3rd Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t324-194-3448\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25450\tAbigail\tKessel\tM\t1950\tsingle\t77 South Mcintosh Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t196-613-9799\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29005\tAbigail\tKessel\tM\t1947\tmarried\t87 North Bradford Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t695-269-5495\tG: 130,000 - 149,999\t3000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32560\tAbigail\tKessel\tM\t1952\t\t97 East Packard Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t645-133-1892\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38783\tAbigail\tRuddy\tM\t1963\tsingle\t107 West Toa Alta Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t530-133-5770\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42338\tAbigail\tRuddy\tM\t1969\tmarried\t117 East Kanabec Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t381-207-3944\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16570\tAbigail\tRuddy\tM\t1958\t\t17 East Packard Court\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t662-207-4294\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46116\tAbigail\tRuddy\tM\t1985\tsingle\t27 Coshocton Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t218-379-8944\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6787\tAda\tKitchens\tF\t1945\t\t47 Toombs Road\t80040\tAlsen\t51060\tND\t52665\t52790\t463-254-8496\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10342\tAda\tKitchens\tF\t1966\tsingle\t47 South Kennebec Road\t64759\tNew Hartford\t51979\tNY\t52679\t52790\t233-491-5440\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13898\tAda\tKitchens\tF\t1948\tmarried\t57 North Adair Drive\t49027\tOzan\t52043\tAR\t52540\t52790\t487-389-2213\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17453\tAda\tKitchens\tF\t1969\t\t67 East Mclennan Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t298-258-9173\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21009\tAda\tKitchens\tF\t1962\tsingle\t77 Breathitt Avenue\t89000\tWadsworth\t52491\tNV\t52678\t52790\t568-644-8601\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24565\tAda\tKitchens\tF\t1936\tmarried\t77 North Palo Pinto Avenue\t86419\tSaint-Briac-sur-Mer\t52280\tBrittany\t52565\t52779\t132-253-5684\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28120\tAda\tKitchens\tF\t1953\t\t87 West Crawford Avenue\t76071\tLavallette\t51789\tNJ\t52670\t52790\t330-616-9506\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31675\tAda\tKitchens\tF\t1980\tsingle\t97 Saint Francis Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t624-254-1249\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35231\tAda\tKitchens\tF\t1971\tmarried\t97 South Gonzales Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t670-491-5656\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37898\tAda\tMaine\tF\t1929\tmarried\t107 West Adair Avenue\t71138\tAntibes\t51066\tProvence-Alpes-Cote d'Azur\t52701\t52779\t668-254-3764\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41453\tAda\tMaine\tF\t1939\t\t117 Mclennan Avenue\t32264\tCorwith\t51341\tIA\t52618\t52790\t380-491-5211\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45008\tAda\tMaine\tF\t1970\tsingle\t117 South Breathitt Avenue\t90135\tBad Neustadt\t51155\tBayern\t52561\t52776\t174-389-3358\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7725\tAda\tMaine\tF\t1930\tsingle\t17 Saint Francis Court\t81680\tWuerzburg\t52518\tBayern\t52561\t52776\t109-491-8000\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43280\tAda\tMaine\tF\t1951\tmarried\t17 South Gonzales Court\t84256\tStrang\t52329\tNE\t52666\t52790\t101-389-1680\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48787\tAda\tMaine\tF\t1921\t\t27 West Toombs Boulevard\t90953\tHolyrood\t51667\tKS\t52630\t52790\t677-258-5770\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2343\tAda\tMaine\tF\t1941\tsingle\t37 East Kennebec Street\t88252\tCrownpoint\t51346\tIN\t52621\t52790\t265-644-3944\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5898\tAda\tMaine\tF\t1943\tmarried\t47 Adair Road\t79783\tVass\t52435\tNC\t52664\t52790\t170-253-7393\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9453\tAda\tMaine\tF\t1923\t\t47 North Mclennan Road\t34547\tHatfield\t51652\tWI\t52760\t52790\t332-616-8434\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13009\tAda\tMaine\tF\t1928\tsingle\t57 West Breathitt Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t551-254-8260\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16565\tAda\tMaine\tF\t1927\tmarried\t67 Palo Pinto Avenue\t72740\tToxey\t52377\tAL\t52534\t52790\t187-491-2466\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20120\tAda\tMaine\tF\t1957\t\t67 South Crawford Avenue\t39895\tDarmstadt\t51380\tHessen\t52617\t52776\t446-389-8046\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23676\tAda\tMaine\tF\t1976\tsingle\t77 West Saint Francis Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t122-258-3091\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27231\tAda\tMaine\tF\t1924\tmarried\t87 East Gonzales Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t383-644-1773\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30786\tAda\tMaine\tF\t1963\t\t87 South Toombs Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t400-253-7852\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34343\tAda\tMaine\tF\t1979\tsingle\t97 North Kennebec Avenue\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t608-616-5414\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36120\tAda\tNenninger\tF\t1965\t\t107 Crawford Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t530-258-5624\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39675\tAda\tNenninger\tF\t1956\tsingle\t107 North Saint Francis Avenue\t43134\tFreiburg\t51521\tBaden-Wuerttemberg\t52559\t52776\t381-644-1329\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43231\tAda\tNenninger\tF\t1967\tmarried\t117 West Gonzales Avenue\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t588-253-3828\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25503\tAda\tNenninger\tF\t1934\t\t17 West Mclennan Court\t75023\tAlbion\t51049\tIN\t52621\t52790\t218-253-3430\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47009\tAda\tNenninger\tF\t1940\tsingle\t27 East Breathitt Boulevard\t56100\tJena\t51696\tThueringen\t52746\t52776\t519-616-4268\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50564\tAda\tNenninger\tF\t1931\tmarried\t27 South Palo Pinto Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t327-254-9928\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4120\tAda\tNenninger\tF\t1973\t\t37 North Crawford Street\t36710\tMougins\t51925\tProvence-Alpes-Cote d'Azur\t52701\t52779\t288-491-8241\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7676\tAda\tNenninger\tF\t1944\tsingle\t47 East Saint Francis Road\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t222-389-1879\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11231\tAda\tNenninger\tF\t1941\tmarried\t57 Gonzales Drive\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t675-258-8818\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14787\tAda\tNenninger\tF\t1938\t\t57 North Toombs Drive\t91086\tHusum\t51671\tSchleswig-Holstein\t52736\t52776\t183-644-5372\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18342\tAda\tNenninger\tF\t1958\tsingle\t67 West Kennebec Avenue\t52092\tGrand Pressigny\t51589\tCentre\t52573\t52779\t129-253-3441\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45445\tAda\tNenninger\tF\t1972\tmarried\t7 South Adair Circle\t39094\tGif-sur-Yvette\t51581\tIle-de-France\t52623\t52779\t662-644-2601\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21897\tAda\tNenninger\tF\t1964\tmarried\t77 East Adair Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t689-616-9385\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25454\tAda\tNenninger\tF\t1926\t\t77 South Mclennan Avenue\t54375\tLloret de Mar\t51801\tGirona\t52611\t52778\t208-254-1323\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29009\tAda\tNenninger\tF\t1932\tsingle\t87 North Breathitt Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t391-491-7643\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32564\tAda\tNenninger\tF\t1946\tmarried\t97 East Palo Pinto Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t587-389-1946\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37899\tAdel\tHarris\tF\t1953\tsingle\t107 West Adams Avenue\t53814\tFukuoka\t51524\tFukuoka\t52601\t52782\t159-688-1576\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41454\tAdel\tHarris\tF\t1953\tsingle\t117 Mcpherson Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t527-217-4716\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45009\tAdel\tHarris\tF\t1972\tsingle\t117 South Breckinridge Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t566-494-7009\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7736\tAdel\tHarris\tF\t1966\tsingle\t17 Saint Lawrence Court\t34427\tGalway City\t51571\tGalway\t52608\t52772\t593-217-9468\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43291\tAdel\tHarris\tF\t1950\tsingle\t17 South Goodhue Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t379-494-8513\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48788\tAdel\tHarris\tF\t1979\tsingle\t27 West Towner Boulevard\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t652-795-3225\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2344\tAdel\tHarris\tF\t1955\tsingle\t37 East Kenedey Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t304-526-5625\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5899\tAdel\tHarris\tF\t1954\tsingle\t47 Adams Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t459-409-8545\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9454\tAdel\tHarris\tF\t1952\tsingle\t47 North Mcpherson Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t252-786-7111\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13010\tAdel\tHarris\tF\t1980\tsingle\t57 West Breckinridge Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t254-688-1565\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16566\tAdel\tHarris\tF\t1951\tsingle\t67 Panola Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t157-217-4243\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20121\tAdel\tHarris\tF\t1955\tsingle\t67 South Crittenden Avenue\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t285-494-5944\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23677\tAdel\tHarris\tF\t1952\tsingle\t77 West Saint Lawrence Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t184-795-4839\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n27232\tAdel\tHarris\tF\t1965\tsingle\t87 East Goodhue Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t355-526-4434\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30787\tAdel\tHarris\tF\t1971\tsingle\t87 South Towner Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t104-409-3270\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34344\tAdel\tHarris\tF\t1954\tsingle\t97 North Kenedey Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t572-786-7003\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38788\tAdel\tPeebles\tF\t1956\tsingle\t107 West Towner Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t651-494-7405\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42343\tAdel\tPeebles\tF\t1962\tsingle\t117 East Kenedey Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t290-795-2058\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16625\tAdel\tPeebles\tF\t1963\tsingle\t17 East Panola Court\t31794\tBilthoven\t51189\tUtrecht\t52750\t52770\t680-795-7500\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46121\tAdel\tPeebles\tF\t1974\tsingle\t27 Crittenden Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t576-526-7934\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49676\tAdel\tPeebles\tF\t1968\tsingle\t27 North Saint Lawrence Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t660-409-1619\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3233\tAdel\tPeebles\tF\t1985\tsingle\t37 West Goodhue Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t340-786-8237\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6788\tAdel\tPeebles\tF\t1954\tsingle\t47 Towner Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t477-688-1056\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10343\tAdel\tPeebles\tF\t1957\tsingle\t47 South Kenedey Road\t78247\tVelp\t52438\tGelderland\t52610\t52770\t613-217-4141\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13899\tAdel\tPeebles\tF\t1956\tsingle\t57 North Adams Drive\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t110-494-9884\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17454\tAdel\tPeebles\tF\t1951\tsingle\t67 East Mcpherson Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t143-795-9669\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21010\tAdel\tPeebles\tF\t1958\tsingle\t77 Breckinridge Avenue\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t511-526-2584\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24566\tAdel\tPeebles\tF\t1954\tsingle\t77 North Panola Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t663-409-8073\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28121\tAdel\tPeebles\tF\t1984\tsingle\t87 West Crittenden Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t552-786-7653\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31676\tAdel\tPeebles\tF\t1959\tsingle\t97 Saint Lawrence Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t112-688-9770\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35232\tAdel\tPeebles\tF\t1961\tsingle\t97 South Goodhue Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t606-217-4997\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36121\tAdel\tRhodes\tF\t1952\tsingle\t107 Crittenden Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t173-795-8362\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39676\tAdel\tRhodes\tF\t1970\tsingle\t107 North Saint Lawrence Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t319-526-7122\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43232\tAdel\tRhodes\tF\t1986\tsingle\t117 West Goodhue Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t685-409-1459\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25514\tAdel\tRhodes\tF\t1981\tsingle\t17 West Mcpherson Court\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t411-409-2471\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47010\tAdel\tRhodes\tF\t1982\tsingle\t27 East Breckinridge Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t563-786-6909\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50565\tAdel\tRhodes\tF\t1951\tsingle\t27 South Panola Boulevard\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t399-688-9696\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4121\tAdel\tRhodes\tF\t1958\tsingle\t37 North Crittenden Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t681-217-4493\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7677\tAdel\tRhodes\tF\t1949\tsingle\t47 East Saint Lawrence Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t556-494-8931\tI: 170,000 - 189,999\t15000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11232\tAdel\tRhodes\tF\t1948\tsingle\t57 Goodhue Drive\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t444-795-6409\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14788\tAdel\tRhodes\tF\t1950\tsingle\t57 North Towner Drive\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t276-526-2389\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18343\tAdel\tRhodes\tF\t1951\tsingle\t67 West Kenedey Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t119-409-3261\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46557\tAdel\tRhodes\tF\t1953\tsingle\t7 South Adams Circle\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t503-526-1044\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21898\tAdel\tRhodes\tF\t1956\tsingle\t77 East Adams Avenue\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t498-786-8656\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25455\tAdel\tRhodes\tF\t1955\tsingle\t77 South Mcpherson Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t636-688-9322\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29010\tAdel\tRhodes\tF\t1964\tsingle\t87 North Breckinridge Avenue\t44792\tEdam\t51441\tNoord-Holland\t52683\t52770\t569-217-5149\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32565\tAdel\tRhodes\tF\t1983\tsingle\t97 East Panola Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t537-494-7714\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37010\tAdel\tRyan\tF\t1960\tsingle\t107 East Breckinridge Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t167-409-1549\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40565\tAdel\tRyan\tF\t1987\tsingle\t107 South Panola Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t620-786-5376\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44120\tAdel\tRyan\tF\t1978\tsingle\t117 North Crittenden Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t415-688-2195\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34403\tAdel\tRyan\tF\t1953\tsingle\t17 North Kenedey Court\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t454-688-1100\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47899\tAdel\tRyan\tF\t1977\tsingle\t27 West Adams Boulevard\t91767\tRotterdam\t52176\tZuid-Holland\t52771\t52770\t526-217-8512\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1455\tAdel\tRyan\tF\t1975\tsingle\t37 Mcpherson Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t155-494-7767\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5010\tAdel\tRyan\tF\t1949\tsingle\t37 South Breckinridge Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t230-795-3064\tI: 170,000 - 189,999\t15000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8565\tAdel\tRyan\tF\t1949\tsingle\t47 West Panola Road\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t630-526-1901\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12122\tAdel\tRyan\tF\t1967\tsingle\t57 East Crittenden Drive\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t361-409-3646\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15677\tAdel\tRyan\tF\t1952\tsingle\t57 South Saint Lawrence Drive\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t229-786-9601\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19232\tAdel\tRyan\tF\t1973\tsingle\t67 North Goodhue Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t166-688-6407\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48847\tAdel\tRyan\tF\t1950\tsingle\t7 South Towner Circle\t64289\tHeerenveen\t51653\tFriesland\t52600\t52770\t103-786-4706\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22787\tAdel\tRyan\tF\t1955\tsingle\t77 East Towner Avenue\t60073\tKlang\t51732\tSelangor\t52738\t52769\t650-217-2384\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26343\tAdel\tRyan\tF\t1976\tsingle\t87 Kenedey Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t629-494-8504\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29899\tAdel\tRyan\tF\t1969\tsingle\t87 South Adams Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t513-795-1419\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33454\tAdel\tRyan\tF\t1957\tsingle\t97 West Mcpherson Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t258-526-9777\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37013\tAnand\tDrumm\tM\t1956\tsingle\t107 East Britnay Avenue\t87082\tEmden\t51450\tNiedersachsen\t52681\t52776\t381-523-8987\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40568\tAnand\tDrumm\tM\t1953\tsingle\t107 South Park Presido Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t588-755-4603\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44123\tAnand\tDrumm\tM\t1949\tsingle\t117 North Cumberland Avenue\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t318-229-4713\tH: 150,000 - 169,999\t3000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34436\tAnand\tDrumm\tM\t1950\tsingle\t17 North Kershaw Court\t43866\tPerry\t52107\tIL\t52619\t52790\t519-229-5414\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47902\tAnand\tDrumm\tM\t1964\tsingle\t27 West Aiken Boulevard\t31463\tHeidelberg\t51654\tBaden-Wuerttemberg\t52559\t52776\t327-172-3764\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1458\tAnand\tDrumm\tM\t1970\tsingle\t37 Medina Street\t33396\tSchwerin\t52302\tMecklenburg-Vorpommern\t52662\t52776\t288-291-5211\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5013\tAnand\tDrumm\tM\t1950\tsingle\t37 South Britnay Street\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t222-530-3358\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8568\tAnand\tDrumm\tM\t1950\tsingle\t47 West Park Presido Road\t92330\tMullins\t51931\tSC\t52722\t52790\t675-712-4502\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12125\tAnand\tDrumm\tM\t1952\tsingle\t57 East Cumberland Drive\t72200\tHitchita\t51664\tOK\t52689\t52790\t183-523-3732\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15680\tAnand\tDrumm\tM\t1971\tsingle\t57 South Salinas Drive\t34547\tHatfield\t51652\tWI\t52760\t52790\t129-755-2710\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19235\tAnand\tDrumm\tM\t1962\tsingle\t67 North Grady Avenue\t40926\tCork\t51340\tCork\t52575\t52772\t689-229-3890\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48880\tAnand\tDrumm\tM\t1953\tsingle\t7 South Trigg Circle\t68975\tBuckley\t51222\tWA\t52757\t52790\t218-755-7852\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22790\tAnand\tDrumm\tM\t1973\tsingle\t77 East Trigg Avenue\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t208-172-7701\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26346\tAnand\tDrumm\tM\t1967\tsingle\t87 Kershaw Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t391-291-8642\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29902\tAnand\tDrumm\tM\t1984\tsingle\t87 South Aiken Avenue\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t587-530-3195\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33457\tAnand\tDrumm\tM\t1953\tsingle\t97 West Medina Avenue\t90900\tMendham\t51908\tNJ\t52670\t52790\t530-712-5471\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37902\tAnand\tDuval\tM\t1947\tsingle\t107 West Aiken Avenue\t62619\tWinter Springs\t52512\tFL\t52595\t52790\t338-229-1207\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41457\tAnand\tDuval\tM\t1949\tsingle\t117 Medina Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t687-172-6758\tH: 150,000 - 169,999\t3000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45012\tAnand\tDuval\tM\t1947\tsingle\t117 South Britnay Avenue\t67042\tCranford\t51345\tNJ\t52670\t52790\t320-291-2076\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7769\tAnand\tDuval\tM\t1955\tsingle\t17 Salinas Court\t65090\tPetite-Pierre La\t52110\tAlsace\t52546\t52779\t481-172-1249\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43324\tAnand\tDuval\tM\t1951\tsingle\t17 South Grady Court\t63157\tFlensburg\t51505\tSchleswig-Holstein\t52736\t52776\t644-291-5656\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48791\tAnand\tDuval\tM\t1983\tsingle\t27 West Trigg Boulevard\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t189-530-7760\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2347\tAnand\tDuval\tM\t1958\tsingle\t37 East Kershaw Street\t30414\tOilton\t52032\tOK\t52689\t52790\t664-712-5382\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5902\tAnand\tDuval\tM\t1960\tsingle\t47 Aiken Road\t47996\tOran\t52035\tMO\t52657\t52790\t431-523-6158\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9457\tAnand\tDuval\tM\t1955\tsingle\t47 North Medina Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t504-755-4927\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13013\tAnand\tDuval\tM\t1961\tsingle\t57 West Britnay Drive\t90635\tAsnieres\t51073\tIle-de-France\t52623\t52779\t350-229-2514\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16569\tAnand\tDuval\tM\t1949\tsingle\t67 Park Presido Avenue\t86870\tLudwigshafen\t51810\tRheinland-Pfalz\t52710\t52776\t324-172-2465\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20124\tAnand\tDuval\tM\t1980\tsingle\t67 South Cumberland Avenue\t70807\tBridgeport\t51216\tIL\t52619\t52790\t196-291-8510\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23680\tAnand\tDuval\tM\t1981\tsingle\t77 West Salinas Avenue\t50032\tDecatur\t51382\tTX\t52745\t52790\t695-530-9313\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27235\tAnand\tDuval\tM\t1948\tsingle\t87 East Grady Avenue\t87836\tChesterfield\t51324\tIL\t52619\t52790\t645-712-3585\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30790\tAnand\tDuval\tM\t1957\tsingle\t87 South Trigg Avenue\t39564\tElm Hall\t51449\tMI\t52654\t52790\t609-523-2837\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34347\tAnand\tDuval\tM\t1945\tsingle\t97 North Kershaw Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t574-755-2899\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36124\tAnand\tHanes\tM\t1949\tsingle\t107 Cumberland Avenue\t84434\tBourges\t51210\tCentre\t52573\t52779\t617-530-8790\tH: 150,000 - 169,999\t3000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39679\tAnand\tHanes\tM\t1979\tsingle\t107 North Salinas Avenue\t84020\tSykesville\t52335\tMD\t52652\t52790\t390-712-5725\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43235\tAnand\tHanes\tM\t1950\tsingle\t117 West Grady Avenue\t60193\tLittle Port\t51800\tIA\t52618\t52790\t632-523-8826\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25547\tAnand\tHanes\tM\t1954\tsingle\t17 West Medina Court\t65320\tPuako\t52113\tHI\t52615\t52790\t561-523-2186\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47013\tAnand\tHanes\tM\t1975\tsingle\t27 East Britnay Boulevard\t88512\tBlackrock\t51196\tDublin\t52580\t52772\t583-755-3009\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50568\tAnand\tHanes\tM\t1968\tsingle\t27 South Park Presido Boulevard\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t307-229-9212\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4124\tAnand\tHanes\tM\t1954\tsingle\t37 North Cumberland Street\t83455\tBryant\t51221\tAR\t52540\t52790\t463-172-5136\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7680\tAnand\tHanes\tM\t1959\tsingle\t47 East Salinas Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t233-291-5959\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11235\tAnand\tHanes\tM\t1986\tsingle\t57 Grady Drive\t58140\tMeribel\t51910\tRhtne-Alpes\t52711\t52779\t487-530-7674\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14791\tAnand\tHanes\tM\t1977\tsingle\t57 North Trigg Drive\t57217\tNew Market\t51980\tVA\t52751\t52790\t298-712-7154\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n18346\tAnand\tHanes\tM\t1965\tsingle\t67 West Kershaw Avenue\t62476\tSheldon\t52308\tWI\t52760\t52790\t568-523-5823\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49890\tAnand\tHanes\tM\t1972\tsingle\t7 South Aiken Circle\t82323\tSpringhill\t52321\tMN\t52656\t52790\t348-712-4192\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21901\tAnand\tHanes\tM\t1946\tsingle\t77 East Aiken Avenue\t58801\tSkagen\t52313\tNorth Jutland\t52685\t52777\t132-755-6023\tH: 150,000 - 169,999\t11000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25458\tAnand\tHanes\tM\t1978\tsingle\t77 South Medina Avenue\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t330-229-5213\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29013\tAnand\tHanes\tM\t1952\tsingle\t87 North Britnay Avenue\t49828\tOxford, NJ\t52042\tNJ\t52670\t52790\t624-172-4211\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32568\tAnand\tHanes\tM\t1952\tsingle\t97 East Park Presido Avenue\t82203\tColmar\t51338\tAlsace\t52546\t52779\t670-291-3529\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38791\tAnand\tRowley\tM\t1966\tsingle\t107 West Trigg Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t380-291-7182\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34340\tAbner\tRossellett\tM\t1962\tmarried\t97 North Kaufman Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t112-716-1100\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36118\tAbraham\tOdenwalld\tM\t1954\tsingle\t107 Cowlitz Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t277-609-3647\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39673\tAbraham\tOdenwalld\tM\t1957\tsingle\t107 North Saint Charles Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t631-540-7530\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43229\tAbraham\tOdenwalld\tM\t1956\tsingle\t117 West Gogebic Avenue\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t376-727-2624\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25481\tAbraham\tOdenwalld\tM\t1955\tsingle\t17 West Mckinley Court\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t544-727-3089\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47007\tAbraham\tOdenwalld\tM\t1952\tsingle\t27 East Brazoria Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t246-434-7038\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50562\tAbraham\tOdenwalld\tM\t1965\tsingle\t27 South Palm Beach Boulevard\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t590-628-7415\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4118\tAbraham\tOdenwalld\tM\t1971\tsingle\t37 North Cowlitz Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t310-357-9914\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7674\tAbraham\tOdenwalld\tM\t1954\tsingle\t47 East Saint Charles Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t169-586-8950\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11229\tAbraham\tOdenwalld\tM\t1953\tsingle\t57 Gogebic Drive\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t656-609-8561\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14785\tAbraham\tOdenwalld\tM\t1953\tsingle\t57 North Tom Green Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t271-540-5195\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18340\tAbraham\tOdenwalld\tM\t1972\tsingle\t67 West Kearney Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t257-727-2699\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23223\tAbraham\tOdenwalld\tM\t1951\tsingle\t7 South 42nd Circle\t58488\tDolores\t51391\tCO\t52569\t52790\t234-540-5189\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21895\tAbraham\tOdenwalld\tM\t1963\tsingle\t77 East 42nd Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t352-434-9382\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25452\tAbraham\tOdenwalld\tM\t1974\tsingle\t77 South Mckinley Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t182-628-6833\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29007\tAbraham\tOdenwalld\tM\t1968\tsingle\t87 North Brazoria Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t377-357-3824\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32562\tAbraham\tOdenwalld\tM\t1985\tsingle\t97 East Palm Beach Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t301-586-6004\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37896\tAbraham\tRoland\tM\t1949\tsingle\t107 West 42nd Avenue\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t322-628-8532\tI: 170,000 - 189,999\t11000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41451\tAbraham\tRoland\tM\t1967\tsingle\t117 Mckinley Avenue\t78618\tBerea\t51180\tKY\t52632\t52790\t461-357-8174\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45006\tAbraham\tRoland\tM\t1952\tsingle\t117 South Brazoria Avenue\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t642-586-4732\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7703\tAbraham\tRoland\tM\t1951\tsingle\t17 Saint Charles Court\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t275-357-9699\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43258\tAbraham\tRoland\tM\t1956\tsingle\t17 South Gogebic Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t480-586-3273\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48785\tAbraham\tRoland\tM\t1955\tsingle\t27 West Tom Green Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t407-609-4730\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2341\tAbraham\tRoland\tM\t1964\tsingle\t37 East Kearney Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t242-540-9428\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5896\tAbraham\tRoland\tM\t1983\tsingle\t47 42nd Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t466-727-8139\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9451\tAbraham\tRoland\tM\t1952\tsingle\t47 North Mckinley Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t347-434-3981\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13007\tAbraham\tRoland\tM\t1970\tsingle\t57 West Brazoria Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t349-628-3782\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16563\tAbraham\tRoland\tM\t1986\tsingle\t67 Palm Beach Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t571-357-4517\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20118\tAbraham\tRoland\tM\t1950\tsingle\t67 South Cowlitz Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t410-586-2272\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23674\tAbraham\tRoland\tM\t1953\tsingle\t77 West Saint Charles Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t388-609-8740\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27229\tAbraham\tRoland\tM\t1977\tsingle\t87 East Gogebic Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t686-540-9073\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30784\tAbraham\tRoland\tM\t1975\tsingle\t87 South Tom Green Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t402-727-6421\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34341\tAbraham\tRoland\tM\t1949\tsingle\t97 North Kearney Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t421-434-7697\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37007\tAbraham\tSadworth\tM\t1949\tsingle\t107 East Brazoria Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t618-727-2550\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40562\tAbraham\tSadworth\tM\t1948\tsingle\t107 South Palm Beach Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t417-434-1364\tI: 170,000 - 189,999\t11000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44117\tAbraham\tSadworth\tM\t1950\tsingle\t117 North Cowlitz Avenue\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t171-628-4465\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34370\tAbraham\tSadworth\tM\t1958\tsingle\t17 North Kearney Court\t54845\tHaswell\t51651\tCO\t52569\t52790\t423-628-3972\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47896\tAbraham\tSadworth\tM\t1954\tsingle\t27 West 42nd Boulevard\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t248-357-7499\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1452\tAbraham\tSadworth\tM\t1984\tsingle\t37 Mckinley Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t261-586-8780\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5007\tAbraham\tSadworth\tM\t1959\tsingle\t37 South Brazoria Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t512-609-7904\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8562\tAbraham\tSadworth\tM\t1961\tsingle\t47 West Palm Beach Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t370-540-6041\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12119\tAbraham\tSadworth\tM\t1956\tsingle\t57 East Cowlitz Drive\t67272\tCloverdale\t51334\tCA\t52567\t52790\t130-727-6830\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15674\tAbraham\tSadworth\tM\t1962\tsingle\t57 South Saint Charles Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t688-434-8605\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19229\tAbraham\tSadworth\tM\t1953\tsingle\t67 North Gogebic Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t464-628-4386\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48814\tAbraham\tSadworth\tM\t1951\tsingle\t7 South Tom Green Circle\t55787\tMontara\t51919\tCA\t52567\t52790\t231-434-3467\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22784\tAbraham\tSadworth\tM\t1981\tsingle\t77 East Tom Green Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t256-357-5707\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26340\tAbraham\tSadworth\tM\t1982\tsingle\t87 Kearney Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t329-586-1279\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29896\tAbraham\tSadworth\tM\t1951\tsingle\t87 South 42nd Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t615-609-1545\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33451\tAbraham\tSadworth\tM\t1958\tsingle\t97 West Mckinley Avenue\t52912\tWalsall\t52495\tEngland - West Midlands\t52593\t52789\t207-540-5347\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38785\tAbraham\tWashington\tM\t1952\tsingle\t107 West Tom Green Avenue\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t287-586-2405\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42340\tAbraham\tWashington\tM\t1980\tsingle\t117 East Kearney Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t661-609-3021\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16592\tAbraham\tWashington\tM\t1973\tsingle\t17 East Palm Beach Court\t45704\tMackville\t51890\tKY\t52632\t52790\t538-609-1215\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46118\tAbraham\tWashington\tM\t1955\tsingle\t27 Cowlitz Boulevard\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t369-540-8419\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49673\tAbraham\tWashington\tM\t1976\tsingle\t27 North Saint Charles Boulevard\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t125-727-6940\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3230\tAbraham\tWashington\tM\t1969\tsingle\t37 West Gogebic Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t284-434-8837\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6785\tAbraham\tWashington\tM\t1957\tsingle\t47 Tom Green Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t323-628-5066\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10340\tAbraham\tWashington\tM\t1960\tsingle\t47 South Kearney Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t190-357-8870\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13896\tAbraham\tWashington\tM\t1987\tsingle\t57 North 42nd Drive\t77188\tMuenchen\t51928\tBayern\t52561\t52776\t221-586-3480\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17451\tAbraham\tWashington\tM\t1978\tsingle\t67 East Mckinley Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t674-609-1433\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21007\tAbraham\tWashington\tM\t1966\tsingle\t77 Brazoria Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t356-540-1699\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24563\tAbraham\tWashington\tM\t1950\tsingle\t77 North Palm Beach Avenue\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t152-727-3713\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28118\tAbraham\tWashington\tM\t1979\tsingle\t87 West Cowlitz Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t312-434-5092\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31673\tAbraham\tWashington\tM\t1955\tsingle\t97 Saint Charles Avenue\t82774\tKent\t51724\tCT\t52572\t52790\t311-628-4908\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35229\tAbraham\tWashington\tM\t1954\tsingle\t97 South Gogebic Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t200-357-1494\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37897\tAbsolom\tEastwood\tM\t1966\t\t107 West Accomack Avenue\t40453\tNorth Carrollton\t51989\tMS\t52658\t52790\t489-551-7870\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41452\tAbsolom\tEastwood\tM\t1983\tsingle\t117 Mclean Avenue\t81522\tGays\t51575\tIL\t52619\t52790\t555-164-5710\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45007\tAbsolom\tEastwood\tM\t1952\tmarried\t117 South Brazos Avenue\t65891\tAalen\t51042\tBaden-Wuerttemberg\t52559\t52776\t605-488-3559\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7714\tAbsolom\tEastwood\tM\t1946\tmarried\t17 Saint Clair Court\t51761\tBay City\t51170\tWI\t52760\t52790\t493-164-7349\tG: 130,000 - 149,999\t7000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43269\tAbsolom\tEastwood\tM\t1978\t\t17 South Golden Gate Court\t30211\tLyon\t51814\tRhtne-Alpes\t52711\t52779\t175-488-4819\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48786\tAbsolom\tEastwood\tM\t1949\tsingle\t27 West Tooele Boulevard\t90953\tHolyrood\t51667\tKS\t52630\t52790\t131-766-7628\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2342\tAbsolom\tEastwood\tM\t1951\tmarried\t37 East Kendall Street\t37281\tDanville\t51379\tMO\t52657\t52790\t367-771-6232\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5897\tAbsolom\tEastwood\tM\t1948\t\t47 Accomack Road\t74673\tDuncan\t51402\tSC\t52722\t52790\t305-476-1865\tG: 130,000 - 149,999\t15000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9452\tAbsolom\tEastwood\tM\t1963\tsingle\t47 North Mclean Road\t34547\tHatfield\t51652\tWI\t52760\t52790\t401-458-5401\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13008\tAbsolom\tEastwood\tM\t1969\tmarried\t57 West Brazos Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t628-551-4983\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16564\tAbsolom\tEastwood\tM\t1946\t\t67 Palm Springs Avenue\t84937\tCottbus\t51342\tBrandenburg\t52563\t52776\t339-164-5672\tG: 130,000 - 149,999\t15000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20119\tAbsolom\tEastwood\tM\t1947\tsingle\t67 South Craven Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t575-488-4929\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23675\tAbsolom\tEastwood\tM\t1951\tmarried\t77 West Saint Clair Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t346-766-4988\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27230\tAbsolom\tEastwood\tM\t1970\t\t87 East Golden Gate Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t136-771-2972\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30785\tAbsolom\tEastwood\tM\t1961\tsingle\t87 South Tooele Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t611-476-4693\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34342\tAbsolom\tEastwood\tM\t1972\tmarried\t97 North Kendall Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t185-458-2862\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37008\tAbsolom\tRice\tM\t1977\tmarried\t107 East Brazos Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t335-476-9737\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40563\tAbsolom\tRice\tM\t1949\t\t107 South Palm Springs Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t602-458-2324\tG: 130,000 - 149,999\t15000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44118\tAbsolom\tRice\tM\t1950\tsingle\t117 North Craven Avenue\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t518-551-1389\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34381\tAbsolom\tRice\tM\t1965\tmarried\t17 North Kendall Court\t80149\tAtalissa\t51076\tIA\t52618\t52790\t416-551-8701\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47897\tAbsolom\tRice\tM\t1950\t\t27 West Accomack Boulevard\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t540-164-3035\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1453\tAbsolom\tRice\tM\t1971\tsingle\t37 Mclean Street\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t623-488-3664\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5008\tAbsolom\tRice\tM\t1953\tmarried\t37 South Brazos Street\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t536-766-4640\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8563\tAbsolom\tRice\tM\t1974\t\t47 West Palm Springs Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t499-771-7264\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12120\tAbsolom\tRice\tM\t1967\tsingle\t57 East Craven Drive\t34646\tGirona\t51582\tGirona\t52611\t52778\t398-476-8167\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15675\tAbsolom\tRice\tM\t1951\tmarried\t57 South Saint Clair Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t694-458-4453\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19230\tAbsolom\tRice\tM\t1958\t\t67 North Golden Gate Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t495-551-7006\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48825\tAbsolom\tRice\tM\t1947\tsingle\t7 South Tooele Circle\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t325-458-7884\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22785\tAbsolom\tRice\tM\t1985\tsingle\t77 East Tooele Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t237-164-6311\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26341\tAbsolom\tRice\tM\t1976\tmarried\t87 Kendall Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t424-488-8777\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29897\tAbsolom\tRice\tM\t1964\t\t87 South Accomack Avenue\t78889\tOrlinda\t52038\tTN\t52744\t52790\t507-766-7978\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33452\tAbsolom\tRice\tM\t1942\tsingle\t97 West Mclean Avenue\t54516\tPelham\t52106\tNY\t52679\t52790\t692-771-8220\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36119\tAbsolom\tSampson\tM\t1975\tsingle\t107 Craven Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t597-766-4448\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39674\tAbsolom\tSampson\tM\t1973\tmarried\t107 North Saint Clair Avenue\t76331\tManresa\t51898\tBarcelona\t52560\t52778\t582-771-5011\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43230\tAbsolom\tSampson\tM\t1943\t\t117 West Golden Gate Avenue\t38763\tHaiku-Pauwela\t51645\tHI\t52615\t52790\t420-476-9289\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25492\tAbsolom\tSampson\tM\t1946\tsingle\t17 West Mclean Court\t47351\tMinnetonka Beach\t51915\tMN\t52656\t52790\t227-476-8908\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47008\tAbsolom\tSampson\tM\t1948\tmarried\t27 East Brazos Boulevard\t56100\tJena\t51696\tThueringen\t52746\t52776\t474-458-5285\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50563\tAbsolom\tSampson\tM\t1943\t\t27 South Palm Springs Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t595-551-3814\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4119\tAbsolom\tSampson\tM\t1948\tsingle\t37 North Craven Street\t41377\tSaint-Malo\t52284\tBrittany\t52565\t52779\t168-164-8158\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7675\tAbsolom\tSampson\tM\t1947\tmarried\t47 East Saint Clair Road\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t180-488-8044\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11230\tAbsolom\tSampson\tM\t1962\t\t57 Golden Gate Drive\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t659-766-3908\tG: 130,000 - 149,999\t10000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14786\tAbsolom\tSampson\tM\t1981\tsingle\t57 North Tooele Drive\t52893\tBamberg\t51162\tBayern\t52561\t52776\t386-771-7247\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18341\tAbsolom\tSampson\tM\t1944\tmarried\t67 West Kendall Avenue\t53924\tGardanne\t51572\tProvence-Alpes-Cote d'Azur\t52701\t52779\t516-476-1803\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34334\tAbsolom\tSampson\tM\t1941\t\t7 South Accomack Circle\t77501\tLowndesville\t51807\tSC\t52722\t52790\t153-771-9447\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21896\tAbsolom\tSampson\tM\t1968\t\t77 East Accomack Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t678-458-9756\tG: 130,000 - 149,999\t10000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25453\tAbsolom\tSampson\tM\t1984\tsingle\t77 South Mclean Avenue\t36933\tWest Wood\t52505\tKY\t52632\t52790\t128-551-7067\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29008\tAbsolom\tSampson\tM\t1944\tmarried\t87 North Brazos Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t699-164-9597\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32563\tAbsolom\tSampson\tM\t1949\t\t97 East Palm Springs Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t684-488-7488\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38786\tAbsolom\tZiegler\tM\t1945\tsingle\t107 West Tooele Avenue\t75824\tRhineland\t52165\tMO\t52657\t52790\t533-488-9533\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42341\tAbsolom\tZiegler\tM\t1956\tmarried\t117 East Kendall Avenue\t46567\tUnion City\t52407\tIN\t52621\t52790\t224-766-7156\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16603\tAbsolom\tZiegler\tM\t1955\t\t17 East Palm Springs Court\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t213-766-8894\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46119\tAbsolom\tZiegler\tM\t1950\tsingle\t27 Craven Boulevard\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t485-771-2604\tG: 130,000 - 149,999\t3000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49674\tAbsolom\tZiegler\tM\t1947\tmarried\t27 North Saint Clair Boulevard\t47996\tOran\t52035\tMO\t52657\t52790\t193-476-4526\tG: 130,000 - 149,999\t7000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3231\tAbsolom\tZiegler\tM\t1952\t\t37 West Golden Gate Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t490-458-2778\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6786\tAbsolom\tZiegler\tM\t1948\tsingle\t47 Tooele Road\t48677\tDornstadt\t51393\tBaden-Wuerttemberg\t52559\t52776\t123-551-4512\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10341\tAbsolom\tZiegler\tM\t1982\tmarried\t47 South Kendall Road\t78088\tAlicante\t51051\tAlicante\t52544\t52778\t303-164-6423\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13897\tAbsolom\tZiegler\tM\t1957\t\t57 North Accomack Drive\t30782\tSouthaven\t52320\tMS\t52658\t52790\t562-488-8975\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17452\tAbsolom\tZiegler\tM\t1959\tsingle\t67 East Mclean Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t296-766-5681\tG: 130,000 - 149,999\t3000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21008\tAbsolom\tZiegler\tM\t1954\tmarried\t77 Brazos Avenue\t64531\tBloomingdale\t51199\tTN\t52744\t52790\t655-771-4882\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24564\tAbsolom\tZiegler\tM\t1960\t\t77 North Palm Springs Avenue\t69325\tGodwin\t51585\tNC\t52664\t52790\t482-476-1411\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28119\tAbsolom\tZiegler\tM\t1945\tsingle\t87 West Craven Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t197-458-1650\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31674\tAbsolom\tZiegler\tM\t1979\tmarried\t97 Saint Clair Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t447-551-5739\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35230\tAbsolom\tZiegler\tM\t1980\t\t97 South Golden Gate Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t472-164-6664\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37009\tAda\tBaley\tF\t1925\tsingle\t107 East Breathitt Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t574-253-3009\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40564\tAda\tBaley\tF\t1974\tmarried\t107 South Palo Pinto Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t338-616-9212\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44119\tAda\tBaley\tF\t1975\t\t117 North Crawford Avenue\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t687-254-5136\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34392\tAda\tBaley\tF\t1978\tsingle\t17 North Kennebec Court\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t481-254-9281\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47898\tAda\tBaley\tF\t1947\tmarried\t27 West Adair Boulevard\t36830\tLocust Valley\t51803\tNY\t52679\t52790\t644-491-8694\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1454\tAda\tBaley\tF\t1950\t\t37 Mclennan Street\t69552\tKassel\t51719\tHessen\t52617\t52776\t189-389-4886\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5009\tAda\tBaley\tF\t1935\tsingle\t37 South Breathitt Street\t60994\tElba\t51447\tMN\t52656\t52790\t664-258-4233\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8564\tAda\tBaley\tF\t1937\tmarried\t47 West Palo Pinto Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t431-644-5810\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12121\tAda\tBaley\tF\t1937\t\t57 East Crawford Drive\t70214\tKiel\t51727\tSchleswig-Holstein\t52736\t52776\t504-253-4941\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15676\tAda\tBaley\tF\t1933\tsingle\t57 South Saint Francis Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t350-616-5789\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19231\tAda\tBaley\tF\t1977\tmarried\t67 North Gonzales Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t324-254-2832\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48836\tAda\tBaley\tF\t1961\t\t7 South Toombs Circle\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t317-616-5302\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22786\tAda\tBaley\tF\t1952\t\t77 East Toombs Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t196-491-8334\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26342\tAda\tBaley\tF\t1954\tsingle\t87 Kennebec Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t695-389-4764\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29898\tAda\tBaley\tF\t1949\tmarried\t87 South Adair Avenue\t86189\tNorth Perry\t51993\tOH\t52688\t52790\t645-258-4192\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33453\tAda\tBaley\tF\t1955\t\t97 West Mclennan Avenue\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t609-644-2186\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38787\tAda\tKitchens\tF\t1959\t\t107 West Toombs Avenue\t56327\tStamford\t52324\tNE\t52666\t52790\t617-389-7760\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42342\tAda\tKitchens\tF\t1922\tsingle\t117 East Kennebec Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t390-258-5382\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16614\tAda\tKitchens\tF\t1968\tmarried\t17 East Palo Pinto Court\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t348-258-1892\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46120\tAda\tKitchens\tF\t1928\t\t27 Crawford Boulevard\t81319\tBarre\t51165\tMA\t52649\t52790\t561-644-9951\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49675\tAda\tKitchens\tF\t1942\tsingle\t27 North Saint Francis Boulevard\t47996\tOran\t52035\tMO\t52657\t52790\t583-253-2372\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3232\tAda\tKitchens\tF\t1960\tmarried\t37 West Gonzales Street\t73370\tLamar\t51785\tNE\t52666\t52790\t307-616-6193\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n29012\tAngela\tWiley\tF\t1947\tsingle\t87 North Brewster Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t447-263-4803\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32567\tAngela\tWiley\tF\t1949\tsingle\t97 East Parke Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t472-126-5005\tH: 150,000 - 169,999\t7000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38789\tAngie\tGrover\tF\t1964\tsingle\t107 West Traverse Avenue\t74222\tRosenheim\t52171\tBayern\t52561\t52776\t461-299-4145\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42344\tAngie\tGrover\tF\t1942\tmarried\t117 East Kent Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t642-277-5948\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16636\tAngie\tGrover\tF\t1965\t\t17 East Park Court\t81973\tGolden's Bridge\t51586\tNY\t52679\t52790\t480-277-6004\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46122\tAngie\tGrover\tF\t1981\tsingle\t27 Crockett Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t407-590-3647\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49677\tAngie\tGrover\tF\t1935\tmarried\t27 North Saint Louis Boulevard\t33065\tBlackduck\t51195\tMN\t52656\t52790\t242-546-7530\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3234\tAngie\tGrover\tF\t1943\t\t37 West Goshen Street\t73370\tLamar\t51785\tNE\t52666\t52790\t466-793-2624\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6789\tAngie\tGrover\tF\t1972\tsingle\t47 Traverse Road\t83805\tNorth Druid Hills\t51990\tGE\t52604\t52790\t347-694-7152\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10344\tAngie\tGrover\tF\t1970\tmarried\t47 South Kent Road\t89503\tBolivar\t51203\tTX\t52745\t52790\t349-455-5607\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13900\tAngie\tGrover\tF\t1934\t\t57 North Aguadilla Drive\t62706\tAntony\t51067\tIle-de-France\t52623\t52779\t571-299-9151\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17455\tAngie\tGrover\tF\t1944\tsingle\t67 East Meade Avenue\t91105\tForest Heights\t51511\tMD\t52652\t52790\t410-277-1257\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21011\tAngie\tGrover\tF\t1962\tmarried\t77 Brevard Avenue\t89000\tWadsworth\t52491\tNV\t52678\t52790\t388-590-2033\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24567\tAngie\tGrover\tF\t1947\t\t77 North Park Avenue\t87671\tCarrier\t51317\tOK\t52689\t52790\t686-546-6051\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28122\tAngie\tGrover\tF\t1968\tsingle\t87 West Crockett Avenue\t70669\tAneta\t51065\tND\t52665\t52790\t402-793-9946\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31677\tAngie\tGrover\tF\t1950\tmarried\t97 Saint Louis Avenue\t44811\tThomasville\t52366\tAL\t52534\t52790\t421-694-1779\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35233\tAngie\tGrover\tF\t1971\t\t97 South Goshen Avenue\t69499\tMidland\t51913\tAR\t52540\t52790\t322-455-9798\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37900\tAngie\tLauderdale\tF\t1959\t\t107 West Aguadilla Avenue\t62826\tRyder\t52178\tND\t52665\t52790\t417-694-9954\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41455\tAngie\tLauderdale\tF\t1978\tsingle\t117 Meade Avenue\t53500\tMagdeburg\t51892\tSachsen-Anhalt\t52732\t52776\t171-455-6090\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45010\tAngie\tLauderdale\tF\t1932\tmarried\t117 South Brevard Avenue\t67042\tCranford\t51345\tNJ\t52670\t52790\t456-299-9247\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7747\tAngie\tLauderdale\tF\t1951\tmarried\t17 Saint Louis Court\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t423-455-4908\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43302\tAngie\tLauderdale\tF\t1957\t\t17 South Goshen Court\t79239\tTimken\t52370\tKS\t52630\t52790\t248-299-1494\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48789\tAngie\tLauderdale\tF\t1933\tsingle\t27 West Traverse Boulevard\t31813\tAline\t51052\tOK\t52689\t52790\t261-277-2405\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2345\tAngie\tLauderdale\tF\t1976\tmarried\t37 East Kent Street\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t512-590-3021\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5900\tAngie\tLauderdale\tF\t1977\t\t47 Aguadilla Road\t80202\tBirchwood\t51191\tTN\t52744\t52790\t370-546-6439\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9455\tAngie\tLauderdale\tF\t1936\tsingle\t47 North Meade Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t130-793-1868\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13011\tAngie\tLauderdale\tF\t1953\tmarried\t57 West Brevard Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t688-694-7316\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16567\tAngie\tLauderdale\tF\t1929\t\t67 Park Avenue\t79032\tMolsheim\t51918\tAlsace\t52546\t52779\t464-455-2733\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20122\tAngie\tLauderdale\tF\t1943\tsingle\t67 South Crockett Avenue\t84136\tGarenne-Colombes La\t51573\tIle-de-France\t52623\t52779\t256-299-9474\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23678\tAngie\tLauderdale\tF\t1945\tmarried\t77 West Saint Louis Avenue\t89153\tCelle\t51320\tNiedersachsen\t52681\t52776\t329-277-1018\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27233\tAngie\tLauderdale\tF\t1931\t\t87 East Goshen Avenue\t82464\tBad Toelz\t51157\tBayern\t52561\t52776\t615-590-9420\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30788\tAngie\tLauderdale\tF\t1936\tsingle\t87 South Traverse Avenue\t49913\tDresden\t51397\tSachsen\t52731\t52776\t207-546-5919\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34345\tAngie\tLauderdale\tF\t1935\tmarried\t97 North Kent Avenue\t75474\tUnion Springs\t52408\tNY\t52679\t52790\t618-793-1440\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37011\tAngie\tPlayer\tF\t1979\tmarried\t107 East Brevard Avenue\t85738\tNew Castle\t51978\tIN\t52621\t52790\t631-546-9847\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40566\tAngie\tPlayer\tF\t1954\t\t107 South Park Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t376-793-4258\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44121\tAngie\tPlayer\tF\t1956\tsingle\t117 North Crockett Avenue\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t202-694-6477\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34414\tAngie\tPlayer\tF\t1948\tmarried\t17 North Kent Court\t43866\tPerry\t52107\tIL\t52619\t52790\t246-694-7697\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47900\tAngie\tPlayer\tF\t1967\t\t27 West Aguadilla Boulevard\t43780\tMorris\t51923\tMN\t52656\t52790\t590-455-8532\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1456\tAngie\tPlayer\tF\t1958\tsingle\t37 Meade Street\t84381\tOffenbach\t52031\tHessen\t52617\t52776\t310-299-8174\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5011\tAngie\tPlayer\tF\t1969\tmarried\t37 South Brevard Street\t60994\tElba\t51447\tMN\t52656\t52790\t169-277-4732\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8566\tAngie\tPlayer\tF\t1963\t\t47 West Park Road\t88021\tSully\t52333\tIA\t52618\t52790\t656-590-4200\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12123\tAngie\tPlayer\tF\t1980\tsingle\t57 East Crockett Drive\t86539\tPlains\t52111\tMT\t52659\t52790\t271-546-1479\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15678\tAngie\tPlayer\tF\t1949\tmarried\t57 South Saint Louis Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t257-793-9512\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19233\tAngie\tPlayer\tF\t1952\t\t67 North Goshen Avenue\t40926\tCork\t51340\tCork\t52575\t52772\t352-694-3155\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48858\tAngie\tPlayer\tF\t1938\tsingle\t7 South Traverse Circle\t68975\tBuckley\t51222\tWA\t52757\t52790\t544-793-6421\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22788\tAngie\tPlayer\tF\t1941\tsingle\t77 East Traverse Avenue\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t182-455-7226\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26344\tAngie\tPlayer\tF\t1941\tmarried\t87 Kent Avenue\t58748\tBlaubeuren\t51198\tBaden-Wuerttemberg\t52559\t52776\t377-299-4794\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n29900\tAngie\tPlayer\tF\t1943\t\t87 South Aguadilla Avenue\t75354\tCourchevel\t51343\tRhtne-Alpes\t52711\t52779\t301-277-4143\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33455\tAngie\tPlayer\tF\t1939\tsingle\t97 West Meade Avenue\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t277-590-1685\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36122\tAngie\tRiffken\tF\t1960\tsingle\t107 Crockett Avenue\t38517\tSelmer\t52304\tTN\t52744\t52790\t287-277-3490\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39677\tAngie\tRiffken\tF\t1966\tmarried\t107 North Saint Louis Avenue\t64639\tNice\t51982\tProvence-Alpes-Cote d'Azur\t52701\t52779\t661-590-4506\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43233\tAngie\tRiffken\tF\t1934\t\t117 West Goshen Avenue\t48151\tLevallois-Perret\t51794\tIle-de-France\t52623\t52779\t460-546-2819\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25525\tAngie\tRiffken\tF\t1982\tsingle\t17 West Meade Court\t34998\tCayuga\t51319\tND\t52665\t52790\t369-546-5347\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47011\tAngie\tRiffken\tF\t1973\tmarried\t27 East Brevard Boulevard\t88512\tBlackrock\t51196\tDublin\t52580\t52772\t125-793-2550\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50566\tAngie\tRiffken\tF\t1961\t\t27 South Park Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t284-694-1364\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4122\tAngie\tRiffken\tF\t1930\tsingle\t37 North Crockett Street\t85388\tArtas\t51072\tSD\t52725\t52790\t323-455-4465\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7678\tAngie\tRiffken\tF\t1974\tmarried\t47 East Saint Louis Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t190-299-1668\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11233\tAngie\tRiffken\tF\t1940\t\t57 Goshen Drive\t45450\tBourg-la-Reine\t51209\tIle-de-France\t52623\t52779\t221-277-9093\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14789\tAngie\tRiffken\tF\t1944\tsingle\t57 North Traverse Drive\t44010\tHannover\t51649\tNiedersachsen\t52681\t52776\t674-590-2057\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18344\tAngie\tRiffken\tF\t1937\tmarried\t67 West Kent Avenue\t65267\tMontreal\t51921\tMO\t52657\t52790\t356-546-9219\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n47668\tAngie\tRiffken\tF\t1955\t\t7 South Aguadilla Circle\t82323\tSpringhill\t52321\tMN\t52656\t52790\t538-590-1545\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21899\tAngie\tRiffken\tF\t1975\t\t77 East Aguadilla Avenue\t65109\tForest City\t51510\tMO\t52657\t52790\t152-793-5767\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25456\tAngie\tRiffken\tF\t1946\tsingle\t77 South Meade Avenue\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t312-694-1735\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29011\tAngie\tRiffken\tF\t1945\tmarried\t87 North Brevard Avenue\t90755\tTioga\t52371\tND\t52665\t52790\t311-455-5420\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32566\tAngie\tRiffken\tF\t1942\t\t97 East Park Avenue\t37087\tBuffalo\t51224\tNY\t52679\t52790\t200-299-9586\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37904\tAnne\tAtkins\tF\t1955\tsingle\t107 West Airway Avenue\t82774\tKent\t51724\tCT\t52572\t52790\t620-776-5156\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41459\tAnne\tAtkins\tF\t1954\tsingle\t117 Meigs Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t415-666-4546\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45014\tAnne\tAtkins\tF\t1952\tsingle\t117 South Bronx Avenue\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t372-116-3411\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7781\tAnne\tAtkins\tF\t1967\tsingle\t17 Saline Court\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t454-666-9770\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43336\tAnne\tAtkins\tF\t1952\tsingle\t17 South Grafton Court\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t526-116-4997\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48793\tAnne\tAtkins\tF\t1973\tsingle\t27 West Trinity Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t155-173-7405\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2349\tAnne\tAtkins\tF\t1955\tsingle\t37 East Ketchikan Gateway Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t230-327-2058\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5904\tAnne\tAtkins\tF\t1976\tsingle\t47 Airway Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t630-146-4392\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9459\tAnne\tAtkins\tF\t1969\tsingle\t47 North Meigs Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t361-216-2108\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13015\tAnne\tAtkins\tF\t1957\tsingle\t57 West Bronx Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t229-776-2923\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16571\tAnne\tAtkins\tF\t1960\tsingle\t67 Pasco Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t166-666-7547\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20126\tAnne\tAtkins\tF\t1987\tsingle\t67 South Cupertino Avenue\t77188\tMuenchen\t51928\tBayern\t52561\t52776\t650-116-2594\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23682\tAnne\tAtkins\tF\t1978\tsingle\t77 West Saline Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t629-173-5035\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34448\tAnne\tRudder\tF\t1950\tsingle\t17 North Ketchikan Gateway Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t563-776-7003\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47904\tAnne\tRudder\tF\t1951\tsingle\t27 West Airway Boulevard\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t399-666-1576\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1460\tAnne\tRudder\tF\t1956\tsingle\t37 Meigs Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t681-116-4716\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5015\tAnne\tRudder\tF\t1955\tsingle\t37 South Bronx Street\t45704\tMackville\t51890\tKY\t52632\t52790\t556-173-7009\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8570\tAnne\tRudder\tF\t1964\tsingle\t47 West Pasco Road\t70577\tPaterna\t52105\tValencia\t52755\t52778\t444-327-1165\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12127\tAnne\tRudder\tF\t1983\tsingle\t57 East Cupertino Drive\t57579\tDingle\t51389\tKerry\t52637\t52772\t276-146-6638\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15682\tAnne\tRudder\tF\t1952\tsingle\t57 South Saline Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t119-216-4441\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19237\tAnne\tRudder\tF\t1970\tsingle\t67 North Grafton Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t498-776-5411\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48892\tAnne\tRudder\tF\t1948\tsingle\t7 South Trinity Circle\t52602\tBlountstown\t51200\tFL\t52595\t52790\t411-216-3270\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22792\tAnne\tRudder\tF\t1986\tsingle\t77 East Trinity Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t636-666-2353\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26348\tAnne\tRudder\tF\t1950\tsingle\t87 Ketchikan Gateway Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t569-116-4229\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29904\tAnne\tRudder\tF\t1953\tsingle\t87 South Airway Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t537-173-3398\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33459\tAnne\tRudder\tF\t1977\tsingle\t97 West Meigs Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t173-327-6117\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37905\tAnnie\tBarr\tF\t1975\tmarried\t107 West Aitkin Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t376-257-1533\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41460\tAnnie\tBarr\tF\t1976\t\t117 Mellette Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t202-610-1710\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45015\tAnnie\tBarr\tF\t1933\t\t117 South Brookings Avenue\t75824\tRhineland\t52165\tMO\t52657\t52790\t313-528-4254\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7792\tAnnie\tBarr\tF\t1979\t\t17 Salt Lake Court\t80491\tVidalia\t52441\tLA\t52641\t52790\t246-610-1779\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43347\tAnnie\tBarr\tF\t1948\tmarried\t17 South Grand Canyon Court\t50438\tGerald\t51580\tMO\t52657\t52790\t590-528-9798\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48794\tAnnie\tBarr\tF\t1951\t\t27 West Trujillo Alto Boulevard\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t310-287-4145\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2350\tAnnie\tBarr\tF\t1938\t\t37 East King Street\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t169-399-5948\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5905\tAnnie\tBarr\tF\t1939\tmarried\t47 Aitkin Road\t47996\tOran\t52035\tMO\t52657\t52790\t656-594-4806\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9460\tAnnie\tBarr\tF\t1940\t\t47 North Mellette Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t271-176-8356\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13016\tAnnie\tBarr\tF\t1936\t\t57 West Brookings Drive\t48677\tDornstadt\t51393\tBaden-Wuerttemberg\t52559\t52776\t257-257-6397\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16572\tAnnie\tBarr\tF\t1978\tmarried\t67 Passaic Avenue\t78088\tAlicante\t51051\tAlicante\t52544\t52778\t352-610-5449\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20127\tAnnie\tBarr\tF\t1953\t\t67 South Currituck Avenue\t30782\tSouthaven\t52320\tMS\t52658\t52790\t182-528-9987\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23683\tAnnie\tBarr\tF\t1955\t\t77 West Salt Lake Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t377-287-2536\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27238\tAnnie\tBarr\tF\t1950\tmarried\t87 East Grand Canyon Avenue\t64531\tBloomingdale\t51199\tTN\t52744\t52790\t301-399-8404\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30793\tAnnie\tBarr\tF\t1956\t\t87 South Trujillo Alto Avenue\t69325\tGodwin\t51585\tNC\t52664\t52790\t277-594-7132\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34350\tAnnie\tBarr\tF\t1929\t\t97 North King Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t631-176-2409\tC: 50,000 - 69,999\t11000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36127\tAnnie\tGilmour\tF\t1960\t\t107 Currituck Avenue\t78889\tOrlinda\t52038\tTN\t52744\t52790\t461-287-2833\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39682\tAnnie\tGilmour\tF\t1926\t\t107 North Salt Lake Avenue\t54516\tPelham\t52106\tNY\t52679\t52790\t642-399-6640\tC: 50,000 - 69,999\t11000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43238\tAnnie\tGilmour\tF\t1973\tmarried\t117 West Grand Canyon Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t134-594-7439\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25570\tAnnie\tGilmour\tF\t1931\t\t17 West Mellette Court\t65320\tPuako\t52113\tHI\t52615\t52790\t407-594-1685\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47016\tAnnie\tGilmour\tF\t1943\t\t27 East Brookings Boulevard\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t242-176-9847\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50571\tAnnie\tGilmour\tF\t1961\tmarried\t27 South Passaic Boulevard\t80149\tAtalissa\t51076\tIA\t52618\t52790\t466-257-4258\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4127\tAnnie\tGilmour\tF\t1946\t\t37 North Currituck Street\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t347-610-6477\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7683\tAnnie\tGilmour\tF\t1967\t\t47 East Salt Lake Road\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t349-528-4632\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11238\tAnnie\tGilmour\tF\t1949\tmarried\t57 Grand Canyon Drive\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t571-287-7791\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14794\tAnnie\tGilmour\tF\t1970\t\t57 North Trujillo Alto Drive\t61675\tVanleer\t52434\tTN\t52744\t52790\t410-399-4470\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18349\tAnnie\tGilmour\tF\t1963\t\t67 West King Avenue\t34646\tGirona\t51582\tGirona\t52611\t52778\t388-594-9739\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2113\tAnnie\tGilmour\tF\t1969\tmarried\t7 South Aitkin Circle\t53694\tFisher\t51503\tIL\t52619\t52790\t480-399-4143\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21904\tAnnie\tGilmour\tF\t1939\tmarried\t77 East Aitkin Avenue\t56047\tAccomac\t51044\tVA\t52751\t52790\t686-176-7504\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25461\tAnnie\tGilmour\tF\t1954\t\t77 South Mellette Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t402-257-6424\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29016\tAnnie\tGilmour\tF\t1981\t\t87 North Brookings Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t421-610-1243\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32571\tAnnie\tGilmour\tF\t1972\tmarried\t97 East Passaic Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t322-528-3161\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37016\tAnnie\tKotzman\tF\t1957\t\t107 East Brookings Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t661-594-5419\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40571\tAnnie\tKotzman\tF\t1968\tmarried\t107 South Passaic Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t460-176-3109\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44126\tAnnie\tKotzman\tF\t1962\t\t117 North Currituck Avenue\t40453\tNorth Carrollton\t51989\tMS\t52658\t52790\t467-257-6258\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34459\tAnnie\tKotzman\tF\t1942\t\t17 North King Court\t34197\tSkagway\t52314\tAK\t52533\t52790\t125-257-1440\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47905\tAnnie\tKotzman\tF\t1934\tmarried\t27 West Aitkin Boulevard\t51761\tBay City\t51170\tWI\t52760\t52790\t284-610-9954\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1461\tAnnie\tKotzman\tF\t1974\t\t37 Mellette Street\t30211\tLyon\t51814\tRhtne-Alpes\t52711\t52779\t323-528-6090\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5016\tAnnie\tKotzman\tF\t1945\t\t37 South Brookings Street\t90953\tHolyrood\t51667\tKS\t52630\t52790\t190-287-9247\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8571\tAnnie\tKotzman\tF\t1943\tmarried\t47 West Passaic Road\t37281\tDanville\t51379\tMO\t52657\t52790\t221-399-2150\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12128\tAnnie\tKotzman\tF\t1940\t\t57 East Currituck Drive\t74673\tDuncan\t51402\tSC\t52722\t52790\t674-594-8518\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15683\tAnnie\tKotzman\tF\t1959\t\t57 South Salt Lake Drive\t34547\tHatfield\t51652\tWI\t52760\t52790\t356-176-4059\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19238\tAnnie\tKotzman\tF\t1965\tmarried\t67 North Grand Canyon Avenue\t40696\tAtwood\t51079\tKS\t52630\t52790\t152-257-8103\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48903\tAnnie\tKotzman\tF\t1937\t\t7 South Trujillo Alto Circle\t68766\tRevel\t52164\tMidi-Pyrenees\t52663\t52779\t369-176-5919\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22793\tAnnie\tKotzman\tF\t1930\t\t77 East Trujillo Alto Avenue\t84937\tCottbus\t51342\tBrandenburg\t52563\t52776\t312-610-5250\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26349\tAnnie\tKotzman\tF\t1935\t\t87 King Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t311-528-1195\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29905\tAnnie\tKotzman\tF\t1947\tmarried\t87 South Aitkin Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t200-287-5685\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33460\tAnnie\tKotzman\tF\t1966\t\t97 West Mellette Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t287-399-2747\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38794\tAnnie\tLanston\tF\t1941\t\t107 West Trujillo Alto Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t171-528-9168\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42349\tAnnie\tLanston\tF\t1971\t\t117 East King Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t456-287-6271\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16681\tAnnie\tLanston\tF\t1952\tmarried\t17 East Passaic Court\t83004\tMineral\t51914\tVA\t52751\t52790\t248-287-9586\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46127\tAnnie\tLanston\tF\t1925\t\t27 Currituck Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t261-399-3490\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49682\tAnnie\tLanston\tF\t1942\t\t27 North Salt Lake Boulevard\t47351\tMinnetonka Beach\t51915\tMN\t52656\t52790\t512-594-4506\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3239\tAnnie\tLanston\tF\t1944\tmarried\t37 West Grand Canyon Street\t56100\tJena\t51696\tThueringen\t52746\t52776\t370-176-2819\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6794\tAnnie\tLanston\tF\t1927\t\t47 Trujillo Alto Road\t74050\tGlennie\t51584\tMI\t52654\t52790\t130-257-2271\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10349\tAnnie\tLanston\tF\t1932\t\t47 South King Road\t41377\tSaint-Malo\t52284\tBrittany\t52565\t52779\t688-610-2812\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13905\tAnnie\tLanston\tF\t1931\tmarried\t57 North Aitkin Drive\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t464-528-6069\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n17460\tAnnie\tLanston\tF\t1958\t\t67 East Mellette Avenue\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t256-287-9588\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21016\tAnnie\tLanston\tF\t1977\t\t77 Brookings Avenue\t52893\tBamberg\t51162\tBayern\t52561\t52776\t329-399-2422\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24572\tAnnie\tLanston\tF\t1928\tmarried\t77 North Passaic Avenue\t53924\tGardanne\t51572\tProvence-Alpes-Cote d'Azur\t52701\t52779\t615-594-3597\tC: 50,000 - 69,999\t3000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28127\tAnnie\tLanston\tF\t1964\t\t87 West Currituck Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t207-176-3860\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31682\tAnnie\tLanston\tF\t1980\t\t97 Salt Lake Avenue\t36933\tWest Wood\t52505\tKY\t52632\t52790\t618-257-4097\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35238\tAnnie\tLanston\tF\t1932\tmarried\t97 South Grand Canyon Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t417-610-7909\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38795\tAntony\tChinn\tM\t1950\tmarried\t107 West Trumbull Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t518-450-4831\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42350\tAntony\tChinn\tM\t1969\t\t117 East King And Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t542-533-9658\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27237\tAnne\tAtkins\tF\t1966\tsingle\t87 East Grafton Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t513-327-5674\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30792\tAnne\tAtkins\tF\t1950\tsingle\t87 South Trinity Avenue\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t258-146-1238\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34349\tAnne\tAtkins\tF\t1979\tsingle\t97 North Ketchikan Gateway Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t167-216-5190\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38793\tAnne\tAubrey\tF\t1985\tsingle\t107 West Trinity Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t527-116-2520\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42348\tAnne\tAubrey\tF\t1954\tsingle\t117 East Ketchikan Gateway Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t566-173-6071\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16670\tAnne\tAubrey\tF\t1980\tsingle\t17 East Pasco Court\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t379-173-7714\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46126\tAnne\tAubrey\tF\t1951\tsingle\t27 Cupertino Boulevard\t58488\tDolores\t51391\tCO\t52569\t52790\t652-327-8362\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49681\tAnne\tAubrey\tF\t1955\tsingle\t27 North Saline Boulevard\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t304-146-7122\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3238\tAnne\tAubrey\tF\t1952\tsingle\t37 West Grafton Street\t55787\tMontara\t51919\tCA\t52567\t52790\t459-216-1459\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6793\tAnne\tAubrey\tF\t1965\tsingle\t47 Trinity Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t252-776-2443\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10348\tAnne\tAubrey\tF\t1971\tsingle\t47 South Ketchikan Gateway Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t254-666-1347\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13904\tAnne\tAubrey\tF\t1954\tsingle\t57 North Airway Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t157-116-1905\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17459\tAnne\tAubrey\tF\t1953\tsingle\t67 East Meigs Avenue\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t285-173-6908\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21015\tAnne\tAubrey\tF\t1953\tsingle\t77 Bronx Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t184-327-4071\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24571\tAnne\tAubrey\tF\t1972\tsingle\t77 North Pasco Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t355-146-8389\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28126\tAnne\tAubrey\tF\t1963\tsingle\t87 West Cupertino Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t104-216-4995\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31681\tAnne\tAubrey\tF\t1974\tsingle\t97 Saline Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t572-776-3839\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35237\tAnne\tAubrey\tF\t1968\tsingle\t97 South Grafton Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t159-666-5175\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36126\tAnne\tKoch\tF\t1951\tsingle\t107 Cupertino Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t651-173-3333\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39681\tAnne\tKoch\tF\t1958\tsingle\t107 North Saline Avenue\t52912\tWalsall\t52495\tEngland - West Midlands\t52593\t52789\t290-327-9718\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43237\tAnne\tKoch\tF\t1949\tsingle\t117 West Grafton Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t205-146-9452\tI: 170,000 - 189,999\t15000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25559\tAnne\tKoch\tF\t1956\tsingle\t17 West Meigs Court\t73216\tFrederick\t51519\tCO\t52569\t52790\t576-146-9777\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47015\tAnne\tKoch\tF\t1951\tsingle\t27 East Bronx Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t660-216-1549\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50570\tAnne\tKoch\tF\t1958\tsingle\t27 South Pasco Boulevard\t54845\tHaswell\t51651\tCO\t52569\t52790\t340-776-5376\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4126\tAnne\tKoch\tF\t1954\tsingle\t37 North Cupertino Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t477-666-2195\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7682\tAnne\tKoch\tF\t1984\tsingle\t47 East Saline Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t613-116-3974\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11237\tAnne\tKoch\tF\t1959\tsingle\t57 Grafton Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t110-173-2246\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14793\tAnne\tKoch\tF\t1961\tsingle\t57 North Trinity Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t143-327-9451\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18348\tAnne\tKoch\tF\t1956\tsingle\t67 West Ketchikan Gateway Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t511-146-8536\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2\tAnne\tKoch\tF\t1957\t\t7 South Airway Circle\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t680-327-1419\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21903\tAnne\tKoch\tF\t1962\tsingle\t77 East Airway Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t663-216-3857\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25460\tAnne\tKoch\tF\t1953\tsingle\t77 South Meigs Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t552-776-3678\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29015\tAnne\tKoch\tF\t1981\tsingle\t87 North Bronx Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t112-666-7795\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32570\tAnne\tKoch\tF\t1982\tsingle\t97 East Pasco Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t606-116-4351\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37015\tAnne\tRudder\tF\t1975\tsingle\t107 East Bronx Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t319-146-7820\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40570\tAnne\tRudder\tF\t1949\tsingle\t107 South Pasco Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t685-216-8827\tI: 170,000 - 189,999\t15000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44125\tAnne\tRudder\tF\t1949\tsingle\t117 North Cupertino Avenue\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t382-776-7190\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42346\tAnand\tRowley\tM\t1951\tsingle\t117 East Kershaw Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t174-530-7891\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16658\tAnand\tRowley\tM\t1952\tsingle\t17 East Park Presido Court\t58260\tLewisburg\t51795\tOH\t52688\t52790\t101-530-1946\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n46124\tAnand\tRowley\tM\t1951\tsingle\t27 Cumberland Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t677-712-5624\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49679\tAnand\tRowley\tM\t1963\tsingle\t27 North Salinas Boulevard\t70457\tNorman\t51986\tOK\t52689\t52790\t265-523-1329\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3236\tAnand\tRowley\tM\t1982\tsingle\t37 West Grady Street\t50509\tReichelsheim\t52161\tHessen\t52617\t52776\t170-755-3828\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6791\tAnand\tRowley\tM\t1948\tsingle\t47 Trigg Road\t68524\tGlasco\t51583\tKS\t52630\t52790\t332-229-6882\tH: 150,000 - 169,999\t3000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10346\tAnand\tRowley\tM\t1969\tsingle\t47 South Kershaw Road\t44461\tMarshal\t51902\tTX\t52745\t52790\t551-172-8850\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13902\tAnand\tRowley\tM\t1985\tsingle\t57 North Aiken Drive\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t187-291-7775\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17457\tAnand\tRowley\tM\t1947\tsingle\t67 East Medina Avenue\t87220\tTuebingen\t52382\tBaden-Wuerttemberg\t52559\t52776\t446-530-1275\tH: 150,000 - 169,999\t3000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21013\tAnand\tRowley\tM\t1951\tsingle\t77 Britnay Avenue\t36598\tBaltimore\t51161\tCork\t52575\t52772\t122-712-6077\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24569\tAnand\tRowley\tM\t1976\tsingle\t77 North Park Presido Avenue\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t383-523-3757\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28124\tAnand\tRowley\tM\t1974\tsingle\t87 West Cumberland Avenue\t70669\tAneta\t51065\tND\t52665\t52790\t400-755-9677\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31679\tAnand\tRowley\tM\t1946\tsingle\t97 Salinas Avenue\t47283\tOpp\t52034\tAL\t52534\t52790\t608-229-2184\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35235\tAnand\tRowley\tM\t1948\tsingle\t97 South Grady Avenue\t69499\tMidland\t51913\tAR\t52540\t52790\t668-172-8039\tH: 150,000 - 169,999\t11000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37901\tAngela\tEppling\tF\t1953\tsingle\t107 West Aibonito Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t602-350-6834\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41456\tAngela\tEppling\tF\t1950\tsingle\t117 Meagher Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t518-263-2640\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45011\tAngela\tEppling\tF\t1964\tsingle\t117 South Brewster Avenue\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t542-126-9221\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7758\tAngela\tEppling\tF\t1968\tsingle\t17 Sainte Genevieve Court\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t416-263-5739\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43313\tAngela\tEppling\tF\t1954\tsingle\t17 South Governer Court\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t540-126-6664\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48790\tAngela\tEppling\tF\t1959\tsingle\t27 West Trego Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t623-597-9533\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2346\tAngela\tEppling\tF\t1986\tsingle\t37 East Kenton Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t536-595-7156\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5901\tAngela\tEppling\tF\t1977\tsingle\t47 Aibonito Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t499-427-8100\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9456\tAngela\tEppling\tF\t1965\tsingle\t47 North Meagher Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t398-728-6293\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13012\tAngela\tEppling\tF\t1946\tsingle\t57 West Brewster Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t694-350-9238\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16568\tAngela\tEppling\tF\t1978\tsingle\t67 Parke Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t495-263-2679\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20123\tAngela\tEppling\tF\t1952\tsingle\t67 South Cross Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t237-126-2708\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23679\tAngela\tEppling\tF\t1952\tsingle\t77 West Sainte Genevieve Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t424-597-4407\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27234\tAngela\tEppling\tF\t1949\tsingle\t87 East Governer Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t507-595-2494\tH: 150,000 - 169,999\t7000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30789\tAngela\tEppling\tF\t1979\tsingle\t87 South Trego Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t692-427-5298\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34346\tAngela\tEppling\tF\t1950\tsingle\t97 North Kenton Avenue\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t335-728-6450\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37012\tAngela\tGentile\tF\t1972\tsingle\t107 East Brewster Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t582-427-9375\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40567\tAngela\tGentile\tF\t1954\tsingle\t107 South Parke Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t420-728-7240\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44122\tAngela\tGentile\tF\t1975\tsingle\t117 North Cross Avenue\t71750\tSalthill\t52287\tGalway\t52608\t52772\t306-350-6239\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34425\tAngela\tGentile\tF\t1982\tsingle\t17 North Kenton Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t474-350-2862\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47901\tAngela\tGentile\tF\t1948\tsingle\t27 West Aibonito Boulevard\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t595-263-7870\tH: 150,000 - 169,999\t7000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1457\tAngela\tGentile\tF\t1969\tsingle\t37 Meagher Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t168-126-5710\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5012\tAngela\tGentile\tF\t1985\tsingle\t37 South Brewster Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t180-597-3559\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8567\tAngela\tGentile\tF\t1947\tsingle\t47 West Parke Road\t75917\tMolino\t51917\tFL\t52595\t52790\t659-595-5157\tH: 150,000 - 169,999\t7000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12124\tAngela\tGentile\tF\t1951\tsingle\t57 East Cross Drive\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t386-427-2157\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15679\tAngela\tGentile\tF\t1976\tsingle\t57 South Sainte Genevieve Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t516-728-5453\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19234\tAngela\tGentile\tF\t1974\tsingle\t67 North Governer Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t678-350-4722\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48869\tAngela\tGentile\tF\t1963\tsingle\t7 South Trego Circle\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t227-728-4693\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22789\tAngela\tGentile\tF\t1946\tsingle\t77 East Trego Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t128-263-3065\tH: 150,000 - 169,999\t15000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26345\tAngela\tGentile\tF\t1948\tsingle\t87 Kenton Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t699-126-7511\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29901\tAngela\tGentile\tF\t1966\tsingle\t87 South Aibonito Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t684-597-6043\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33456\tAngela\tGentile\tF\t1951\tsingle\t97 West Meagher Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t597-595-3344\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38790\tAngela\tLessman\tF\t1955\tsingle\t107 West Trego Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t555-126-1974\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42345\tAngela\tLessman\tF\t1951\tsingle\t117 East Kenton Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t605-597-1336\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16647\tAngela\tLessman\tF\t1970\tsingle\t17 East Parke Court\t76275\tOcala\t52030\tFL\t52595\t52790\t175-597-7488\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46123\tAngela\tLessman\tF\t1950\tsingle\t27 Cross Boulevard\t58488\tDolores\t51391\tCO\t52569\t52790\t131-595-4448\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49678\tAngela\tLessman\tF\t1950\tsingle\t27 North Sainte Genevieve Boulevard\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t367-427-5011\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3235\tAngela\tLessman\tF\t1952\tsingle\t37 West Governer Street\t55787\tMontara\t51919\tCA\t52567\t52790\t305-728-9289\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6790\tAngela\tLessman\tF\t1971\tsingle\t47 Trego Road\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t401-350-3513\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10345\tAngela\tLessman\tF\t1962\tsingle\t47 South Kenton Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t628-263-9621\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13901\tAngela\tLessman\tF\t1973\tsingle\t57 North Aibonito Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t339-126-4393\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17456\tAngela\tLessman\tF\t1967\tsingle\t67 East Meagher Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t575-597-3501\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21012\tAngela\tLessman\tF\t1984\tsingle\t77 Brewster Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t346-595-5835\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24568\tAngela\tLessman\tF\t1953\tsingle\t77 North Parke Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t136-427-6933\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28123\tAngela\tLessman\tF\t1956\tsingle\t87 West Cross Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t611-728-3096\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31678\tAngela\tLessman\tF\t1953\tsingle\t97 Sainte Genevieve Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t185-350-2234\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35234\tAngela\tLessman\tF\t1949\tsingle\t97 South Governer Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t489-263-3992\tH: 150,000 - 169,999\t7000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36123\tAngela\tWiley\tF\t1947\tsingle\t107 Cross Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t533-597-8644\tH: 150,000 - 169,999\t15000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39678\tAngela\tWiley\tF\t1952\tsingle\t107 North Sainte Genevieve Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t224-595-3034\tH: 150,000 - 169,999\t3000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43234\tAngela\tWiley\tF\t1951\tsingle\t117 West Governer Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t649-427-7838\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25536\tAngela\tWiley\tF\t1958\tsingle\t17 West Meagher Court\t73216\tFrederick\t51519\tCO\t52569\t52790\t485-427-8220\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47012\tAngela\tWiley\tF\t1960\tsingle\t27 East Brewster Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t193-728-9737\tH: 150,000 - 169,999\t3000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50567\tAngela\tWiley\tF\t1955\tsingle\t27 South Parke Boulevard\t54845\tHaswell\t51651\tCO\t52569\t52790\t490-350-2324\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4123\tAngela\tWiley\tF\t1961\tsingle\t37 North Cross Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t123-263-1389\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7679\tAngela\tWiley\tF\t1949\tsingle\t47 East Sainte Genevieve Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t303-126-2906\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11234\tAngela\tWiley\tF\t1980\tsingle\t57 Governer Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t562-597-2310\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14790\tAngela\tWiley\tF\t1981\tsingle\t57 North Trego Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t296-595-7042\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18345\tAngela\tWiley\tF\t1948\tsingle\t67 West Kenton Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t655-427-6145\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48779\tAngela\tWiley\tF\t1983\tmarried\t7 South Aibonito Circle\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t213-595-7978\tH: 150,000 - 169,999\t7000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21900\tAngela\tWiley\tF\t1957\tsingle\t77 East Aibonito Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t482-728-4325\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25457\tAngela\tWiley\tF\t1945\tsingle\t77 South Meagher Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t197-350-1689\tH: 150,000 - 169,999\t15000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11241\tArmand\tHurd\tM\t1972\tmarried\t57 Grant Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t157-651-6764\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14797\tArmand\tHurd\tM\t1966\t\t57 North Tuscaloosa Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t285-490-1648\tG: 130,000 - 149,999\t10000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18352\tArmand\tHurd\tM\t1983\tsingle\t67 West Kiowa Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t184-404-3624\tG: 130,000 - 149,999\t3000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5446\tArmand\tHurd\tM\t1969\tmarried\t7 South Albany Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t379-490-3398\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21907\tArmand\tHurd\tM\t1952\tmarried\t77 East Albany Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t355-302-7965\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25464\tArmand\tHurd\tM\t1955\t\t77 South Merrick Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t104-119-6033\tG: 130,000 - 149,999\t10000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29019\tArmand\tHurd\tM\t1950\tsingle\t87 North Brunswick Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t572-501-1722\tG: 130,000 - 149,999\t3000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32574\tArmand\tHurd\tM\t1947\tmarried\t97 East Payne Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t159-393-6756\tG: 130,000 - 149,999\t7000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37908\tArmand\tLance\tM\t1953\tmarried\t107 West Albany Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t685-119-8736\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41463\tArmand\tLance\tM\t1974\t\t117 Merrick Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t382-501-3382\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45018\tArmand\tLance\tM\t1967\tsingle\t117 South Brunswick Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t192-393-3263\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7825\tArmand\tLance\tM\t1981\tsingle\t17 San Diego Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t563-501-3839\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43380\tArmand\tLance\tM\t1944\tmarried\t17 South Grant Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t399-393-5175\tG: 130,000 - 149,999\t7000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48797\tArmand\tLance\tM\t1968\t\t27 West Tuscaloosa Boulevard\t89369\tThame\t52364\tEngland - Oxfordshire\t52592\t52789\t681-651-2520\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2353\tArmand\tLance\tM\t1984\tsingle\t37 East Kiowa Street\t58488\tDolores\t51391\tCO\t52569\t52790\t556-490-6071\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5908\tArmand\tLance\tM\t1944\tmarried\t47 Albany Road\t66361\tVelbert\t52436\tNordrhein-Westfalen\t52684\t52776\t444-404-6919\tG: 130,000 - 149,999\t7000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9463\tArmand\tLance\tM\t1949\t\t47 North Merrick Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t276-302-8822\tG: 130,000 - 149,999\t15000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13019\tArmand\tLance\tM\t1975\tsingle\t57 West Brunswick Drive\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t119-119-4984\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16575\tArmand\tLance\tM\t1973\tmarried\t67 Payne Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t498-501-7446\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20130\tArmand\tLance\tM\t1943\t\t67 South Cuyahoga Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t636-393-4023\tG: 130,000 - 149,999\t15000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23686\tArmand\tLance\tM\t1947\tsingle\t77 West San Diego Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t569-651-5082\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27241\tArmand\tLance\tM\t1965\tmarried\t87 East Grant Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t537-490-9575\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30796\tArmand\tLance\tM\t1950\t\t87 South Tuscaloosa Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t173-404-3900\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34353\tArmand\tLance\tM\t1971\tsingle\t97 North Kiowa Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t319-302-4966\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38797\tArmand\tPetroff\tM\t1948\t\t107 West Tuscaloosa Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t415-393-4048\tG: 130,000 - 149,999\t15000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42352\tArmand\tPetroff\tM\t1963\tsingle\t117 East Kiowa Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t372-651-6760\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16714\tArmand\tPetroff\tM\t1951\tmarried\t17 East Payne Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t526-651-4351\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46130\tArmand\tPetroff\tM\t1958\t\t27 Cuyahoga Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t155-490-3333\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49685\tArmand\tPetroff\tM\t1985\tsingle\t27 North San Diego Boulevard\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t230-404-9718\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3242\tArmand\tPetroff\tM\t1976\tmarried\t37 West Grant Street\t55787\tMontara\t51919\tCA\t52567\t52790\t630-302-9452\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6797\tArmand\tPetroff\tM\t1964\t\t47 Tuscaloosa Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t361-119-4052\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10352\tArmand\tPetroff\tM\t1942\tsingle\t47 South Kiowa Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t229-501-6910\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13908\tArmand\tPetroff\tM\t1977\tmarried\t57 North Albany Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t166-393-9925\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17463\tArmand\tPetroff\tM\t1949\t\t67 East Merrick Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t650-651-2210\tG: 130,000 - 149,999\t15000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21019\tArmand\tPetroff\tM\t1950\tsingle\t77 Brunswick Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t629-490-9548\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24575\tArmand\tPetroff\tM\t1946\tmarried\t77 North Payne Avenue\t53363\tMontreuil\t51922\tIle-de-France\t52623\t52779\t513-404-1087\tG: 130,000 - 149,999\t7000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28130\tArmand\tPetroff\tM\t1978\t\t87 West Cuyahoga Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t258-302-8340\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31685\tArmand\tPetroff\tM\t1949\tsingle\t97 San Diego Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t167-119-6429\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35241\tArmand\tPetroff\tM\t1951\tmarried\t97 South Grant Avenue\t56851\tBeemster\t51174\tNoord-Holland\t52683\t52770\t620-501-3686\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37909\tArnand\tLeopard\tM\t1944\t\t107 West Albemarle Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t460-356-3119\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41464\tArnand\tLeopard\tM\t1943\tmarried\t117 Merrimack Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t467-502-8216\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45019\tArnand\tLeopard\tM\t1946\t\t117 South Bryan Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t543-118-5150\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7836\tArnand\tLeopard\tM\t1944\t\t17 Sandhill Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t125-502-4097\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43391\tArnand\tLeopard\tM\t1961\t\t17 South Gratiot Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t284-118-7909\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48798\tArnand\tLeopard\tM\t1967\tmarried\t27 West Tuscarawas Boulevard\t76275\tOcala\t52030\tFL\t52595\t52790\t323-461-9168\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2354\tArnand\tLeopard\tM\t1938\t\t37 East Kit Carson Street\t58488\tDolores\t51391\tCO\t52569\t52790\t190-307-6271\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5909\tArnand\tLeopard\tM\t1941\t\t47 Albemarle Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t221-160-2219\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9464\tArnand\tLeopard\tM\t1949\tmarried\t47 North Merrimack Road\t55787\tMontara\t51919\tCA\t52567\t52790\t674-735-8278\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13020\tArnand\tLeopard\tM\t1968\t\t57 West Bryan Drive\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t356-356-1222\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16576\tArnand\tLeopard\tM\t1959\t\t67 Pembina Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t152-502-5790\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20131\tArnand\tLeopard\tM\t1970\tmarried\t67 South Dale Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t312-118-7817\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23687\tArnand\tLeopard\tM\t1964\t\t77 West Sandhill Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t311-461-1981\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27242\tArnand\tLeopard\tM\t1981\t\t87 East Gratiot Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t200-307-2367\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30797\tArnand\tLeopard\tM\t1950\tmarried\t87 South Tuscarawas Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t287-160-5080\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34354\tArnand\tLeopard\tM\t1953\t\t97 North Kit Carson Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t661-735-7822\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36131\tArnand\tLing\tM\t1963\tmarried\t107 Dale Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t171-461-7311\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39686\tArnand\tLing\tM\t1948\t\t107 North Sandhill Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t456-307-1944\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43242\tArnand\tLing\tM\t1969\t\t117 West Gratiot Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t434-160-7223\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25614\tArnand\tLing\tM\t1939\tmarried\t17 West Merrimack Court\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t261-160-2747\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47020\tArnand\tLing\tM\t1960\t\t27 East Bryan Boulevard\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t512-735-5419\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50575\tArnand\tLing\tM\t1979\t\t27 South Pembina Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t370-356-3109\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4131\tArnand\tLing\tM\t1936\tmarried\t37 North Dale Street\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t130-502-6258\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7687\tArnand\tLing\tM\t1966\t\t47 East Sandhill Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t688-118-7385\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11242\tArnand\tLing\tM\t1982\t\t57 Gratiot Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t464-461-2346\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14798\tArnand\tLing\tM\t1938\tmarried\t57 North Tuscarawas Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t256-307-3568\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18353\tArnand\tLing\tM\t1945\t\t67 West Kit Carson Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t329-160-6210\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6557\tArnand\tLing\tM\t1940\t\t7 South Albemarle Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t248-307-5685\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21908\tArnand\tLing\tM\t1973\t\t77 East Albemarle Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t615-735-5623\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25465\tArnand\tLing\tM\t1971\tmarried\t77 South Merrimack Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t207-356-3526\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29020\tArnand\tLing\tM\t1937\t\t87 North Bryan Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t618-502-3120\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32575\tArnand\tLing\tM\t1945\t\t97 East Pembina Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t417-118-8615\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37020\tArnand\tRobey\tM\t1976\t\t107 East Bryan Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t642-160-7829\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40575\tArnand\tRobey\tM\t1947\t\t107 South Pembina Avenue\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t134-735-2227\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44130\tArnand\tRobey\tM\t1947\tmarried\t117 North Dale Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t140-356-6039\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34503\tArnand\tRobey\tM\t1972\t\t17 North Kit Carson Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t242-356-2409\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47909\tArnand\tRobey\tM\t1965\t\t27 West Albemarle Boulevard\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t466-502-1533\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1465\tArnand\tRobey\tM\t1945\tmarried\t37 Merrimack Street\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t347-118-1710\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5020\tArnand\tRobey\tM\t1956\t\t37 South Bryan Street\t45704\tMackville\t51890\tKY\t52632\t52790\t349-461-4254\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8575\tArnand\tRobey\tM\t1983\t\t47 West Pembina Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t571-307-2399\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12132\tArnand\tRobey\tM\t1974\tmarried\t57 East Dale Drive\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t410-160-9018\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15687\tArnand\tRobey\tM\t1962\t\t57 South Sandhill Drive\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t388-735-8524\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19242\tArnand\tRobey\tM\t1934\t\t67 North Gratiot Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t686-356-8400\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48947\tArnand\tRobey\tM\t1951\tmarried\t7 South Tuscarawas Circle\t30154\tBanbury\t51163\tEngland - Oxfordshire\t52592\t52789\t407-735-7132\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22797\tArnand\tRobey\tM\t1975\tmarried\t77 East Tuscarawas Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t402-502-9693\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26353\tArnand\tRobey\tM\t1943\t\t87 Kit Carson Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t421-118-7633\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29909\tArnand\tRobey\tM\t1946\t\t87 South Albemarle Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t322-461-7178\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33464\tArnand\tRobey\tM\t1940\tmarried\t97 West Merrimack Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t461-307-3308\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38798\tArnand\tRoss\tM\t1946\tmarried\t107 West Tuscarawas Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t202-118-4184\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42353\tArnand\tRoss\tM\t1935\t\t117 East Kit Carson Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t313-461-9305\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16725\tArnand\tRoss\tM\t1942\t\t17 East Pembina Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t590-461-3161\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46131\tArnand\tRoss\tM\t1980\tmarried\t27 Dale Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t310-307-2833\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49686\tArnand\tRoss\tM\t1955\t\t27 North Sandhill Boulevard\t73216\tFrederick\t51519\tCO\t52569\t52790\t169-160-6640\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3243\tArnand\tRoss\tM\t1957\t\t37 West Gratiot Street\t55787\tMontara\t51919\tCA\t52567\t52790\t656-735-7439\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6798\tArnand\tRoss\tM\t1952\tmarried\t47 Tuscarawas Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t271-356-6053\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10353\tArnand\tRoss\tM\t1958\t\t47 South Kit Carson Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t257-502-5519\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13909\tArnand\tRoss\tM\t1937\t\t57 North Albemarle Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t352-118-4982\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17464\tArnand\tRoss\tM\t1977\tmarried\t67 East Merrimack Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t182-461-2762\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21020\tArnand\tRoss\tM\t1978\t\t77 Bryan Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t377-307-2260\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24576\tArnand\tRoss\tM\t1939\t\t77 North Pembina Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t301-160-9128\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28131\tArnand\tRoss\tM\t1954\tmarried\t87 West Dale Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t277-735-8221\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31686\tArnand\tRoss\tM\t1933\t\t97 Sandhill Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t631-356-8431\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35242\tArnand\tRoss\tM\t1944\t\t97 South Gratiot Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t376-502-3952\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36132\tArno\tGrey\tM\t1980\tsingle\t107 Dallas Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t518-555-5255\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39687\tArno\tGrey\tM\t1949\tmarried\t107 North San German Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t542-340-1776\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43243\tArno\tGrey\tM\t1952\t\t117 West Grays Harbor Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t458-696-4165\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25625\tArno\tGrey\tM\t1946\tsingle\t17 West Middlesex Court\t30000\tRio de Janeiro\t52167\tRio de Janeiro\t52713\t52775\t623-696-4217\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47021\tArno\tGrey\tM\t1945\tmarried\t27 East Bucks Boulevard\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t536-690-1834\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50576\tArno\tGrey\tM\t1942\t\t27 South Pemiscot Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t499-655-8246\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4132\tArno\tGrey\tM\t1960\tsingle\t37 North Dallas Street\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t398-259-1082\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7688\tArno\tGrey\tM\t1966\tmarried\t47 East San German Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t694-746-4807\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11243\tArno\tGrey\tM\t1934\t\t57 Grays Harbor Drive\t74342\tLisburn\t51799\tNorthern Ireland - County Antr\t52686\t52789\t495-555-4481\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14799\tArno\tGrey\tM\t1938\tsingle\t57 North Twin Dolphin Drive\t70577\tPaterna\t52105\tValencia\t52755\t52778\t237-340-6162\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18354\tArno\tGrey\tM\t1948\tmarried\t67 West Kitsap Avenue\t57579\tDingle\t51389\tKerry\t52637\t52772\t424-696-8675\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7668\tArno\tGrey\tM\t1975\t\t7 South Alexander Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t540-340-1035\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21909\tArno\tGrey\tM\t1967\t\t77 East Alexander Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t507-690-7090\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25466\tArno\tGrey\tM\t1958\tsingle\t77 South Middlesex Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t692-655-5451\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29021\tArno\tGrey\tM\t1969\tmarried\t87 North Bucks Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t335-259-6072\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32576\tArno\tGrey\tM\t1963\t\t97 East Pemiscot Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t602-746-4122\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38799\tArno\tHartzog\tM\t1944\tsingle\t107 West Twin Dolphin Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t306-746-7688\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42354\tArno\tHartzog\tM\t1937\tmarried\t117 East Kitsap Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t345-555-1297\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16736\tArno\tHartzog\tM\t1947\t\t17 East Pemiscot Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t595-555-2522\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46132\tArno\tHartzog\tM\t1968\tsingle\t27 Dallas Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t168-340-9376\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49687\tArno\tHartzog\tM\t1950\tmarried\t27 North San German Boulevard\t73216\tFrederick\t51519\tCO\t52569\t52790\t180-696-4449\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3244\tArno\tHartzog\tM\t1971\t\t37 West Grays Harbor Street\t55787\tMontara\t51919\tCA\t52567\t52790\t659-690-5021\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6799\tArno\tHartzog\tM\t1964\tsingle\t47 Twin Dolphin Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t386-655-2864\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10354\tArno\tHartzog\tM\t1942\tmarried\t47 South Kitsap Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t516-259-8531\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13910\tArno\tHartzog\tM\t1955\t\t57 North Alexander Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t678-746-5291\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17465\tArno\tHartzog\tM\t1982\tsingle\t67 East Middlesex Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t128-555-8724\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21021\tArno\tHartzog\tM\t1973\tmarried\t77 Bucks Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t699-340-9329\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24577\tArno\tHartzog\tM\t1961\t\t77 North Pemiscot Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t684-696-6155\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28132\tArno\tHartzog\tM\t1930\tsingle\t87 West Dallas Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t597-690-5155\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31687\tArno\tHartzog\tM\t1974\tmarried\t97 San German Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t582-655-8211\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35243\tArno\tHartzog\tM\t1940\t\t97 South Grays Harbor Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t420-259-9363\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37021\tArno\tLinks\tM\t1953\tmarried\t107 East Bucks Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t605-696-2119\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40576\tArno\tLinks\tM\t1929\t\t107 South Pemiscot Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t505-690-1415\tD: 70,000 - 89,999\t15000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44131\tArno\tLinks\tM\t1943\tsingle\t117 North Dallas Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t161-655-1326\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34514\tArno\tLinks\tM\t1941\tmarried\t17 North Kitsap Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t367-655-1395\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47910\tArno\tLinks\tM\t1943\t\t27 West Alexander Boulevard\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t305-259-2371\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1466\tArno\tLinks\tM\t1939\tsingle\t37 Middlesex Street\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t401-746-7520\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5021\tArno\tLinks\tM\t1979\tmarried\t37 South Bucks Street\t45704\tMackville\t51890\tKY\t52632\t52790\t628-555-5371\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8576\tArno\tLinks\tM\t1954\t\t47 West Pemiscot Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t339-340-1726\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12133\tArno\tLinks\tM\t1956\tsingle\t57 East Dallas Drive\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t575-696-9796\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15688\tArno\tLinks\tM\t1951\tmarried\t57 South San German Drive\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t346-690-4132\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19243\tArno\tLinks\tM\t1957\t\t67 North Grays Harbor Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t136-655-6235\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48958\tArno\tLinks\tM\t1941\tsingle\t7 South Twin Dolphin Circle\t35402\tHamburg\t51648\tHamburg\t52616\t52776\t131-690-4175\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22798\tArno\tLinks\tM\t1933\tsingle\t77 East Twin Dolphin Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t611-259-2464\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26354\tArno\tLinks\tM\t1976\tmarried\t87 Kitsap Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t185-746-7202\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29910\tArno\tLinks\tM\t1977\t\t87 South Alexander Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t489-555-5547\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33465\tArno\tLinks\tM\t1936\tsingle\t97 West Middlesex Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t555-340-8664\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37910\tArno\tMallory\tM\t1934\t\t107 West Alexander Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t649-655-7915\tD: 70,000 - 89,999\t10000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41465\tArno\tMallory\tM\t1944\tsingle\t117 Middlesex Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t584-259-4594\tD: 70,000 - 89,999\t3000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16692\tAntony\tChinn\tM\t1938\tsingle\t17 East Patrick Court\t38931\tCape Town\t51315\tSouth Africa\t52740\t52791\t540-533-5005\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46128\tAntony\tChinn\tM\t1976\tmarried\t27 Curry Boulevard\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t623-783-8644\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49683\tAntony\tChinn\tM\t1946\t\t27 North Saluda Boulevard\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t536-702-3034\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3240\tAntony\tChinn\tM\t1948\tsingle\t37 West Grand Forks Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t499-115-7838\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6795\tAntony\tChinn\tM\t1943\tmarried\t47 Trumbull Road\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t398-516-1960\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10350\tAntony\tChinn\tM\t1977\t\t47 South King And Road\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t694-121-7069\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13906\tAntony\tChinn\tM\t1948\tsingle\t57 North Alachua Drive\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t495-450-2063\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17461\tAntony\tChinn\tM\t1949\tmarried\t67 East Mercer Avenue\t73071\tAlleppey\t51054\tKerala\t52636\t52771\t237-533-1117\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21017\tAntony\tChinn\tM\t1946\t\t77 Broome Avenue\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t424-783-9971\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24573\tAntony\tChinn\tM\t1962\tsingle\t77 North Patrick Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t507-702-6103\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28128\tAntony\tChinn\tM\t1968\tmarried\t87 West Curry Avenue\t57631\tBalk\t51160\tFriesland\t52600\t52770\t692-115-6404\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31683\tAntony\tChinn\tM\t1942\t\t97 Saluda Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t335-516-9567\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35239\tAntony\tChinn\tM\t1944\tsingle\t97 South Grand Forks Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t602-121-9478\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36128\tAntony\tLusk\tM\t1953\tmarried\t107 Curry Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t555-533-9376\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39683\tAntony\tLusk\tM\t1959\t\t107 North Saluda Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t605-783-4449\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43239\tAntony\tLusk\tM\t1941\tsingle\t117 West Grand Forks Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t505-702-5021\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25581\tAntony\tLusk\tM\t1971\tmarried\t17 West Mercer Court\t88666\tMiddelburg\t51912\tZeeland\t52770\t52770\t131-702-3344\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47017\tAntony\tLusk\tM\t1965\t\t27 East Broome Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t367-115-9375\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50572\tAntony\tLusk\tM\t1982\tsingle\t27 South Patrick Boulevard\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t305-516-7240\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4128\tAntony\tLusk\tM\t1951\tmarried\t37 North Curry Street\t91767\tRotterdam\t52176\tZuid-Holland\t52771\t52770\t401-121-6239\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7684\tAntony\tLusk\tM\t1954\t\t47 East Saluda Road\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t628-450-6869\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11239\tAntony\tLusk\tM\t1947\tsingle\t57 Grand Forks Drive\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t339-533-9381\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14795\tAntony\tLusk\tM\t1945\tmarried\t57 North Trumbull Drive\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t575-783-6227\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18350\tAntony\tLusk\tM\t1949\t\t67 West King And Avenue\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t346-702-8947\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3224\tAntony\tLusk\tM\t1960\tsingle\t7 South Alachua Circle\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t175-783-6043\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21905\tAntony\tLusk\tM\t1945\tsingle\t77 East Alachua Avenue\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t136-115-7873\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25462\tAntony\tLusk\tM\t1981\tmarried\t77 South Mercer Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t611-516-3593\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29017\tAntony\tLusk\tM\t1956\t\t87 North Broome Avenue\t60073\tKlang\t51732\tSelangor\t52738\t52769\t185-121-1963\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32572\tAntony\tLusk\tM\t1958\tsingle\t97 East Patrick Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t489-450-2522\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37017\tAntony\tOsborne\tM\t1967\t\t107 East Broome Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t224-702-1834\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40572\tAntony\tOsborne\tM\t1983\tsingle\t107 South Patrick Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t649-115-8246\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44127\tAntony\tOsborne\tM\t1941\tmarried\t117 North Curry Avenue\t53814\tFukuoka\t51524\tFukuoka\t52601\t52782\t584-516-1082\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34470\tAntony\tOsborne\tM\t1979\t\t17 North King And Court\t80999\tWestminster\t52506\tEngland - Greater London\t52589\t52789\t193-516-6450\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47906\tAntony\tOsborne\tM\t1942\tsingle\t27 West Alachua Boulevard\t34427\tGalway City\t51571\tGalway\t52608\t52772\t490-121-6834\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1462\tAntony\tOsborne\tM\t1955\tmarried\t37 Mercer Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t123-450-2640\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5017\tAntony\tOsborne\tM\t1937\t\t37 South Broome Street\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t303-533-9221\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8572\tAntony\tOsborne\tM\t1945\tsingle\t47 West Patrick Road\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t562-783-2963\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12129\tAntony\tOsborne\tM\t1947\tmarried\t57 East Curry Drive\t79119\tKerkrade\t51726\tLimburg\t52646\t52770\t296-702-6332\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15684\tAntony\tOsborne\tM\t1939\t\t57 South Saluda Drive\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t655-115-6822\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19239\tAntony\tOsborne\tM\t1944\tsingle\t67 North Grand Forks Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t482-516-5058\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48914\tAntony\tOsborne\tM\t1978\tmarried\t7 South Trumbull Circle\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t485-115-5298\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22794\tAntony\tOsborne\tM\t1943\tmarried\t77 East Trumbull Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t197-121-9091\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26350\tAntony\tOsborne\tM\t1961\t\t87 King And Avenue\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t447-450-9556\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29906\tAntony\tOsborne\tM\t1980\tsingle\t87 South Alachua Avenue\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t472-533-1035\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33461\tAntony\tOsborne\tM\t1940\tmarried\t97 West Mercer Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t533-783-4217\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37906\tAntony\tWolsey\tM\t1984\tsingle\t107 West Alachua Avenue\t75214\tMar del Plata\t51899\tBuenos Aires\t52566\t52773\t420-516-2371\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41461\tAntony\tWolsey\tM\t1975\tmarried\t117 Mercer Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t306-121-7520\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45016\tAntony\tWolsey\tM\t1963\t\t117 South Broome Avenue\t83264\tSchiphol\t52298\tNoord-Holland\t52683\t52770\t345-450-5371\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7803\tAntony\tWolsey\tM\t1947\t\t17 Saluda Court\t82985\tHeywood\t51660\tEngland - Greater Manchester\t52590\t52789\t474-121-2234\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43358\tAntony\tWolsey\tM\t1974\tsingle\t17 South Grand Forks Court\t65771\tWigan\t52511\tEngland - Greater Manchester\t52590\t52789\t595-450-3992\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48795\tAntony\tWolsey\tM\t1972\tmarried\t27 West Trumbull Boulevard\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t168-533-1974\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2351\tAntony\tWolsey\tM\t1940\t\t37 East King And Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t180-783-1336\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5906\tAntony\tWolsey\tM\t1946\tsingle\t47 Alachua Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t659-702-3111\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9461\tAntony\tWolsey\tM\t1964\tmarried\t47 North Mercer Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t386-115-5690\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13017\tAntony\tWolsey\tM\t1949\t\t57 West Broome Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t516-516-3486\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16573\tAntony\tWolsey\tM\t1970\tsingle\t67 Patrick Avenue\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t678-121-9265\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20128\tAntony\tWolsey\tM\t1952\tmarried\t67 South Curry Avenue\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t128-450-4741\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23684\tAntony\tWolsey\tM\t1973\t\t77 West Saluda Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t699-533-8199\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n27239\tAntony\tWolsey\tM\t1966\tsingle\t87 East Grand Forks Avenue\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t684-783-8104\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30794\tAntony\tWolsey\tM\t1948\tmarried\t87 South Trumbull Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t597-702-4175\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34351\tAntony\tWolsey\tM\t1957\t\t97 North King And Avenue\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t582-115-1395\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37907\tArchibald\tFellows\tM\t1960\t\t107 West Alameda Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t588-129-8657\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41462\tArchibald\tFellows\tM\t1962\tsingle\t117 Meriwether Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t318-181-5342\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45017\tArchibald\tFellows\tM\t1957\tmarried\t117 South Brown Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t406-441-9427\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7814\tArchibald\tFellows\tM\t1954\tmarried\t17 San Bernardino Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t519-181-2184\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43369\tArchibald\tFellows\tM\t1973\t\t17 South Grand View Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t327-441-8039\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48796\tArchibald\tFellows\tM\t1964\tsingle\t27 West Tulare Boulevard\t48853\tCity of London\t51328\tEngland - Greater London\t52589\t52789\t288-617-7182\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2352\tArchibald\tFellows\tM\t1975\tmarried\t37 East Kingman Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t222-284-7891\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5907\tArchibald\tFellows\tM\t1969\t\t47 Alameda Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t675-564-4177\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9462\tArchibald\tFellows\tM\t1986\tsingle\t47 North Meriwether Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t183-249-5873\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13018\tArchibald\tFellows\tM\t1955\tmarried\t57 West Brown Drive\t50629\tLegrand\t51791\tCA\t52567\t52790\t129-129-6775\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n16574\tArchibald\tFellows\tM\t1958\t\t67 Pawnee Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t689-181-2621\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20129\tArchibald\tFellows\tM\t1959\tsingle\t67 South Custer Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t208-441-2511\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23685\tArchibald\tFellows\tM\t1953\tmarried\t77 West San Bernardino Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t391-617-9886\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27240\tArchibald\tFellows\tM\t1961\t\t87 East Grand View Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t587-284-8027\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30795\tArchibald\tFellows\tM\t1957\tsingle\t87 South Tulare Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t530-564-4631\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34352\tArchibald\tFellows\tM\t1985\t\t97 North Kingman Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t381-249-2936\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36129\tArchibald\tGrigsby\tM\t1970\tsingle\t107 Custer Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t380-617-1949\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39684\tArchibald\tGrigsby\tM\t1960\tmarried\t107 North San Bernardino Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t174-284-3920\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43240\tArchibald\tGrigsby\tM\t1961\t\t117 West Grand View Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t509-564-5069\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25592\tArchibald\tGrigsby\tM\t1987\tsingle\t17 West Meriwether Court\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t677-564-5471\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47018\tArchibald\tGrigsby\tM\t1953\tmarried\t27 East Brown Boulevard\t42648\tSevilla\t52306\tSevilla\t52739\t52778\t265-249-8987\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50573\tArchibald\tGrigsby\tM\t1955\t\t27 South Pawnee Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t170-129-4603\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4129\tArchibald\tGrigsby\tM\t1978\tsingle\t37 North Custer Street\t70126\tAldridge\t51050\tEngland - West Midlands\t52593\t52789\t332-181-4713\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7685\tArchibald\tGrigsby\tM\t1976\tmarried\t47 East San Bernardino Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t551-441-3874\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11240\tArchibald\tGrigsby\tM\t1952\t\t57 Grand View Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t187-617-6787\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14796\tArchibald\tGrigsby\tM\t1950\tsingle\t57 North Tulare Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t446-284-9113\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18351\tArchibald\tGrigsby\tM\t1968\tmarried\t67 West Kingman Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t122-564-9144\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4335\tArchibald\tGrigsby\tM\t1971\t\t7 South Alameda Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t101-284-3195\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21906\tArchibald\tGrigsby\tM\t1953\t\t77 East Alameda Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t383-249-2664\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25463\tArchibald\tGrigsby\tM\t1974\tsingle\t77 South Meriwether Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t400-129-4234\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29018\tArchibald\tGrigsby\tM\t1956\tmarried\t87 North Brown Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t608-181-8152\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n"}]},"jobName":"paragraph_1581008690183_-463931314","id":"20200206-170450_621702626","dateCreated":"2018-02-04T02:30:25+0000","dateStarted":"2020-02-07T20:40:52+0000","dateFinished":"2020-02-07T20:40:53+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:149"},{"title":"Display the mode value for CUST_MARITAL_STATUS","text":"%sql \n\nSELECT STATS_MODE(CUST_MARITAL_STATUS) FROM SH.CUSTOMERS;","user":"MARK","dateUpdated":"2020-02-07T20:40:53+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"STATS_MODE(CUST_MARITAL_STATUS)","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"STATS_MODE(CUST_MARITAL_STATUS)","index":0,"aggr":"sum"}},"groups":[],"height":89.6667},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":90,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"STATS_MODE(CUST_MARITAL_STATUS)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better 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SH.CUSTOMERS;","user":"MARK","dateUpdated":"2020-02-07T20:40:53+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":0,"aggr":"sum"}},"groups":[],"height":84.6667},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":98,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MEDIAN(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MEDIAN(CUST_CREDIT_LIMIT)\n7000\n"}]},"jobName":"paragraph_1581008690183_696478519","id":"20200206-170450_498001522","dateCreated":"2018-02-04T02:32:19+0000","dateStarted":"2020-02-07T20:40:54+0000","dateFinished":"2020-02-07T20:40:54+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:151"},{"title":"Display median CUST_CREDIT_LIMIT grouped by CUST_MARITAL_STATUS","text":"%sql \nSELECT CUST_MARITAL_STATUS, MEDIAN(CUST_CREDIT_LIMIT) \nFROM SH.CUSTOMERS \nGROUP BY CUST_MARITAL_STATUS;","user":"MARK","dateUpdated":"2020-02-07T20:40:54+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_MARITAL_STATUS","index":0,"aggr":"sum"}],"values":[{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_MARITAL_STATUS","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","MEDIAN(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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MEDIAN(CUST_CREDIT_LIMIT) \nFROM SH.CUSTOMERS \nGROUP BY CUST_MARITAL_STATUS \nORDER BY MEDIAN(CUST_CREDIT_LIMIT) DESC;","user":"MARK","dateUpdated":"2020-02-07T20:40:55+0000","config":{"colWidth":6,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","MEDIAN(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_MARITAL_STATUS\tMEDIAN(CUST_CREDIT_LIMIT)\nMar-AF\t11000\nMabsent\t9000\nMarried\t9000\nNeverM\t9000\nDivorc.\t9000\nSepar.\t9000\nWidowed\t7000\ndivorced\t7000\nsingle\t7000\nwidow\t7000\n\t7000\nmarried\t5000\n"}]},"jobName":"paragraph_1581008690183_-1481491390","id":"20200206-170450_1574819263","dateCreated":"2018-02-04T02:38:47+0000","dateStarted":"2020-02-07T20:40:56+0000","dateFinished":"2020-02-07T20:40:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:153"},{"title":"Using a t-test","text":"%md\nUse the SQL t-test function. See \nStatistical SQL functions for performing a t-test in-database using the SH.SALES and SH.CUSTOMERS tables. The t-test measures the significance of a difference of means. You can use it to compare the means of two groups or the means of one group with a constant. A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a Normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution. \nSee \n\nHint: P_Values < 0.05 show statistically significantly differences in the amounts purchased by men vs. women\nHint: NaN is used for display when there are nulls and/or empty\n\n","user":"MARK","dateUpdated":"2020-02-07T20:40:56+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Use the SQL t-test function. See https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/STATS_T_TEST_.html\n
Statistical SQL functions for performing a t-test in-database using the SH.SALES and SH.CUSTOMERS tables. The t-test measures the significance of a difference of means. You can use it to compare the means of two groups or the means of one group with a constant. A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a Normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.\n
See https://en.wikipedia.org/wiki/Student%27s_t-test
\nHint: P_Values < 0.05 show statistically significantly differences in the amounts purchased by men vs. women\n
Hint: NaN is used for display when there are nulls and/or empty
\n"}]},"jobName":"paragraph_1581008690183_354658945","id":"20200206-170450_1341815504","dateCreated":"2019-08-13T16:27:46+0000","dateStarted":"2020-02-07T20:40:56+0000","dateFinished":"2020-02-07T20:40:56+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:154"},{"title":"Compare average amount SOLD_TO_MEN versus average amount SOLD_TO_WOMEN Grouped_By INCOME_LEVEL and determine if any are significantly different","text":"%sql \n\nSELECT SUBSTR(CUST_INCOME_LEVEL,1,22) INCOME_LEVEL, \n\tROUND(AVG(DECODE(CUST_GENDER,'M',AMOUNT_SOLD,NULL)),2) SOLD_TO_MEN, \n\tROUND(AVG(DECODE(CUST_GENDER,'F',AMOUNT_SOLD,NULL)),2) SOLD_TO_WOMEN, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD, 'STATISTIC','F'),2) T_OBSERVED, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD),2) TWO_SIDED_P_VALUE\n FROM SH.CUSTOMERS C, SH.SALES S \n WHERE C.CUST_ID=S.CUST_ID \n GROUP BY CUST_INCOME_LEVEL \n ORDER BY 1;","user":"MARK","dateUpdated":"2020-02-07T20:40:56+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"values":[{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"},"xAxis":{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"multiBarChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"INCOME_LEVEL":"string","SOLD_TO_MEN":"string","SOLD_TO_WOMEN":"string","T_OBSERVED":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"TWO_SIDED_P_VALUE","index":4,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"INCOME_LEVEL\tSOLD_TO_MEN\tSOLD_TO_WOMEN\tT_OBSERVED\tTWO_SIDED_P_VALUE\nA: Below 30,000\t105.28\t99.43\t-1.99\t0.05\nB: 30,000 - 49,999\t102.6\t109.83\t3.04\t0\nC: 50,000 - 69,999\t105.63\t110.13\t2.36\t0.02\nD: 70,000 - 89,999\t106.63\t110.47\t2.28\t0.02\nE: 90,000 - 109,999\t103.4\t101.61\t-1.25\t0.21\nF: 110,000 - 129,999\t106.76\t105.98\t-0.6\t0.55\nG: 130,000 - 149,999\t108.88\t107.31\t-0.85\t0.39\nH: 150,000 - 169,999\t110.99\t107.15\t-1.91\t0.06\nI: 170,000 - 189,999\t102.81\t107.44\t2.18\t0.03\nJ: 190,000 - 249,999\t108.04\t115.34\t2.58\t0.01\nK: 250,000 - 299,999\t112.38\t108.2\t-1.41\t0.16\nL: 300,000 and above\t120.97\t112.22\t-2.06\t0.04\n\t107.12\t113.8\t0.69\t0.49\n"}]},"jobName":"paragraph_1581008690183_-406573769","id":"20200206-170450_621643819","dateCreated":"2018-02-04T02:39:45+0000","dateStarted":"2020-02-07T20:40:57+0000","dateFinished":"2020-02-07T20:40:57+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:155"},{"title":"Compare average amount SOLD_TO_MEN versus average amount SOLD_TO_WOMEN Grouped_By INCOME_LEVEL and determine if any are significantly different","text":"%sql \n\n-- Click the bar chart icon and expand settings. Drag INCOME_LEVEL to Keys, TWO_SIDED_P_VALUE to Values and select Avg. The group is empty. \n\nSELECT SUBSTR(CUST_INCOME_LEVEL,1,22) INCOME_LEVEL, \n\tROUND(AVG(DECODE(CUST_GENDER,'M',AMOUNT_SOLD,NULL)),2) SOLD_TO_MEN, \n\tROUND(AVG(DECODE(CUST_GENDER,'F',AMOUNT_SOLD,NULL)),2) SOLD_TO_WOMEN, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD, 'STATISTIC','F'),2) T_OBSERVED, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD),2) TWO_SIDED_P_VALUE\n FROM SH.CUSTOMERS C, SH.SALES S \n WHERE C.CUST_ID=S.CUST_ID \n GROUP BY CUST_INCOME_LEVEL \n ORDER BY TWO_SIDED_P_VALUE DESC;","user":"MARK","dateUpdated":"2020-02-07T20:41:00+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"values":[{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"},"xAxis":{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":324.133,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"rotate"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"INCOME_LEVEL":"string","SOLD_TO_MEN":"string","SOLD_TO_WOMEN":"string","T_OBSERVED":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"TWO_SIDED_P_VALUE","index":4,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"INCOME_LEVEL\tSOLD_TO_MEN\tSOLD_TO_WOMEN\tT_OBSERVED\tTWO_SIDED_P_VALUE\nF: 110,000 - 129,999\t106.76\t105.98\t-0.6\t0.55\n\t107.12\t113.8\t0.69\t0.49\nG: 130,000 - 149,999\t108.88\t107.31\t-0.85\t0.39\nE: 90,000 - 109,999\t103.4\t101.61\t-1.25\t0.21\nK: 250,000 - 299,999\t112.38\t108.2\t-1.41\t0.16\nH: 150,000 - 169,999\t110.99\t107.15\t-1.91\t0.06\nA: Below 30,000\t105.28\t99.43\t-1.99\t0.05\nL: 300,000 and above\t120.97\t112.22\t-2.06\t0.04\nI: 170,000 - 189,999\t102.81\t107.44\t2.18\t0.03\nC: 50,000 - 69,999\t105.63\t110.13\t2.36\t0.02\nD: 70,000 - 89,999\t106.63\t110.47\t2.28\t0.02\nJ: 190,000 - 249,999\t108.04\t115.34\t2.58\t0.01\nB: 30,000 - 49,999\t102.6\t109.83\t3.04\t0\n"}]},"jobName":"paragraph_1581008690183_1541647090","id":"20200206-170450_2029552871","dateCreated":"2019-07-26T17:45:48+0000","dateStarted":"2020-02-07T20:40:58+0000","dateFinished":"2020-02-07T20:40:58+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:156"},{"title":"Note: NaN is displayed above where INCOME_LEVEL is NULL - display those records","text":"%sql\nselect CUST_ID, CUST_FIRST_NAME, CUST_LAST_NAME, CUST_INCOME_LEVEL \nfrom SH.CUSTOMERS \nwhere CUST_INCOME_LEVEL is NULL\n","user":"MARK","dateUpdated":"2020-02-07T20:40:58+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_INCOME_LEVEL":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_INCOME_LEVEL\n803\tThatcher\tTyler\t\n963\tFabian\tLusk\t\n1043\tForrest\tBanfield\t\n723\tTrevor\tNielley\t\n270\tVerna\tWalsh\t\n590\tWadswworth\tWhite\t\n1017\tWashington\tDally\t\n31\tWilla\tFitz\t\n297\tJacinta\tMathews\t\n617\tJed\tHardy\t\n910\tJeremy\tElliott\t\n351\tJessie\tKing\t\n697\tKeith\tYork\t\n1069\tLance\tTrimmer\t\n323\tLiana\tRodgers\t\n217\tAbigail\tMalloney\t\n776\tAdam\tSavage\t\n244\tLucette\tGray\t\n883\tMackenzie\tDriscoll\t\n57\tMary\tOddell\t\n856\tAlfred\tDoctor\t\n377\tMildred\tDoctor\t\n564\tArthur\tOrson\t\n643\tAubrey\tCapp\t\n137\tAudrey\tCrocker\t\n164\tBernadette\tKenyon\t\n84\tBertha\tSnowden\t\n536\tBrooke\tUmstatt\t\n936\tPearson\tSeven\t\n989\tPedro\tNesbit\t\n830\tPercival\tColven\t\n430\tCaryn\tNielley\t\n1096\tRadford\tSeligman\t\n510\tChristine\tBirch\t\n110\tRiva\tMinnow\t\n403\tRochelle\tShapiro\t\n190\tRosemary\tTannenbaum\t\n484\tDana\tDwyer\t\n457\tDawn\tRowe\t\n669\tSearle\tStockman\t\n750\tStacey\tMellot\t\n"}]},"jobName":"paragraph_1581008690183_330032687","id":"20200206-170450_1270601322","dateCreated":"2019-08-13T16:21:24+0000","dateStarted":"2020-02-07T20:40:59+0000","dateFinished":"2020-02-07T20:40:59+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:157"},{"text":"%sql\n","user":"MARK","dateUpdated":"2020-02-06T17:17:51+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","fontSize":9},"settings":{"params":{},"forms":{}},"jobName":"paragraph_1581008690183_1485073940","id":"20200206-170450_1468729655","dateCreated":"2019-08-12T21:04:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:158"}],"name":"Statistical Functions","id":"135","noteParams":{},"noteForms":{},"angularObjects":{},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
\ No newline at end of file
+{"paragraphs":[{"text":"%md\n## OML4SQL Statistical Functions\n\nIn this notebook, you will use the SH schema data to to explore descriptive and comparative statistics performed inside Oracle Autonomous Database. For the machine learning examples, please see companion notebooks.\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:15+0000","config":{"colWidth":9,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"OML4SQL Statistical Functions
\nIn this notebook, you will use the SH schema data to to explore descriptive and comparative statistics performed inside Oracle Autonomous Database. For the machine learning examples, please see companion notebooks.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1449651441","id":"20200915-183829_1655485734","dateCreated":"2018-02-04T02:24:52+0000","dateStarted":"2020-09-15T23:45:15+0000","dateFinished":"2020-09-15T23:45:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:25"},{"text":"%md\n\n\n
","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:15+0000","config":{"colWidth":3,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":120},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1701857071","id":"20200915-183829_118612817","dateCreated":"2018-02-05T22:03:29+0000","dateStarted":"2020-09-15T23:45:15+0000","dateFinished":"2020-09-15T23:45:15+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:26"},{"title":"For more information...","text":"%md \nOracle ADW Documentation \nOML folder on Oracle Github \nOML web page: \nFor more statistical functions in the Documentation, start here: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:16+0000","config":{"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
For more statistical functions in the Documentation, start here: https://docs.oracle.com/en/database/oracle/oracle-database/20/sqlrf/STATS_T_TEST_.html
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-2068394449","id":"20200915-183829_591759567","dateCreated":"2018-02-04T02:25:36+0000","dateStarted":"2020-09-15T23:45:16+0000","dateFinished":"2020-09-15T23:45:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:27"},{"text":"%sql\n\nselect * from SH.COUNTRIES","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:16+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNTRY_ID":"string","COUNTRY_ISO_CODE":"string","COUNTRY_NAME":"string","COUNTRY_SUBREGION":"string","COUNTRY_SUBREGION_ID":"string","COUNTRY_REGION":"string","COUNTRY_REGION_ID":"string","COUNTRY_TOTAL":"string","COUNTRY_TOTAL_ID":"string","COUNTRY_NAME_HIST":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql"},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNTRY_ID\tCOUNTRY_ISO_CODE\tCOUNTRY_NAME\tCOUNTRY_SUBREGION\tCOUNTRY_SUBREGION_ID\tCOUNTRY_REGION\tCOUNTRY_REGION_ID\tCOUNTRY_TOTAL\tCOUNTRY_TOTAL_ID\tCOUNTRY_NAME_HIST\n52771\tCN\tChina\tAsia\t52793\tAsia\t52802\tWorld total\t52806\t\n52781\tIN\tIndia\tAsia\t52793\tAsia\t52802\tWorld total\t52806\t\n52782\tJP\tJapan\tAsia\t52793\tAsia\t52802\tWorld total\t52806\t\n52783\tMY\tMalaysia\tAsia\t52793\tAsia\t52802\tWorld total\t52806\t\n52769\tSG\tSingapore\tAsia\t52793\tAsia\t52802\tWorld total\t52806\t\n52791\tZA\tSouth Africa\tAfrica\t52792\tAfrica\t52800\tWorld total\t52806\t\n52774\tAU\tAustralia\tAustralia\t52794\tOceania\t52805\tWorld total\t52806\t\n52785\tNZ\tNew Zealand\tAustralia\t52794\tOceania\t52805\tWorld total\t52806\t\n52787\tSA\tSaudi Arabia\tMiddle East\t52796\tMiddle East\t52804\tWorld total\t52806\t\n52786\tPL\tPoland\tEastern Europe\t52795\tEurope\t52803\tWorld total\t52806\t\n52776\tDE\tGermany\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52777\tDK\tDenmark\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52778\tES\tSpain\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52779\tFR\tFrance\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52789\tGB\tUnited Kingdom\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52780\tIE\tIreland\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52770\tIT\tItaly\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52784\tNL\tThe Netherlands\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52788\tTR\tTurkey\tWestern Europe\t52799\tEurope\t52803\tWorld total\t52806\t\n52772\tCA\tCanada\tNorthern America\t52797\tAmericas\t52801\tWorld total\t52806\t\n52790\tUS\tUnited States of America\tNorthern America\t52797\tAmericas\t52801\tWorld total\t52806\t\n52773\tAR\tArgentina\tSouthern America\t52798\tAmericas\t52801\tWorld total\t52806\t\n52775\tBR\tBrazil\tSouthern America\t52798\tAmericas\t52801\tWorld total\t52806\t\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1128025790","id":"20200915-183829_1711950122","dateCreated":"2020-08-14T15:39:58+0000","dateStarted":"2020-09-15T23:45:16+0000","dateFinished":"2020-09-15T23:45:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:28"},{"title":"Display the SH.CUSTOMERS data","text":"%sql\n\nSELECT * FROM SH.CUSTOMERS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:17+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_ID","index":0,"aggr":"sum"}],"values":[{"name":"CUST_FIRST_NAME","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"CUST_FIRST_NAME","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_ID","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_GENDER":"string","CUST_YEAR_OF_BIRTH":"string","CUST_MARITAL_STATUS":"string","CUST_STREET_ADDRESS":"string","CUST_POSTAL_CODE":"string","CUST_CITY":"string","CUST_CITY_ID":"string","CUST_STATE_PROVINCE":"string","CUST_STATE_PROVINCE_ID":"string","COUNTRY_ID":"string","CUST_MAIN_PHONE_NUMBER":"string","CUST_INCOME_LEVEL":"string","CUST_CREDIT_LIMIT":"string","CUST_EMAIL":"string","CUST_TOTAL":"string","CUST_TOTAL_ID":"string","CUST_SRC_ID":"string","CUST_EFF_FROM":"string","CUST_EFF_TO":"string","CUST_VALID":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_GENDER\tCUST_YEAR_OF_BIRTH\tCUST_MARITAL_STATUS\tCUST_STREET_ADDRESS\tCUST_POSTAL_CODE\tCUST_CITY\tCUST_CITY_ID\tCUST_STATE_PROVINCE\tCUST_STATE_PROVINCE_ID\tCOUNTRY_ID\tCUST_MAIN_PHONE_NUMBER\tCUST_INCOME_LEVEL\tCUST_CREDIT_LIMIT\tCUST_EMAIL\tCUST_TOTAL\tCUST_TOTAL_ID\tCUST_SRC_ID\tCUST_EFF_FROM\tCUST_EFF_TO\tCUST_VALID\n49671\tAbigail\tRuddy\tM\t1976\tmarried\t27 North Sagadahoc Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t519-236-6123\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3228\tAbigail\tRuddy\tM\t1964\t\t37 West Geneva Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t327-194-5008\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6783\tAbigail\tRuddy\tM\t1942\tsingle\t47 Toa Alta Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t288-613-9676\tG: 130,000 - 149,999\t11000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10338\tAbigail\tRuddy\tM\t1977\tmarried\t47 South Kanabec Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t222-269-1259\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13894\tAbigail\tRuddy\tM\t1949\t\t57 North 3rd Drive\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t675-133-2226\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17449\tAbigail\tRuddy\tM\t1950\tsingle\t67 East Mcintosh Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t183-207-2933\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21005\tAbigail\tRuddy\tM\t1946\tmarried\t77 Bradford Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t129-379-7148\tG: 130,000 - 149,999\t3000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24561\tAbigail\tRuddy\tM\t1978\t\t77 North Packard Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t689-236-7611\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n28116\tAbigail\tRuddy\tM\t1949\tsingle\t87 West Coshocton Avenue\t71349\tHaarlem\t51644\tNoord-Holland\t52683\t52770\t208-194-6025\tG: 130,000 - 149,999\t11000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31671\tAbigail\tRuddy\tM\t1951\tmarried\t97 Sagadahoc Avenue\t55056\tBolton\t51205\tEngland - Greater Manchester\t52590\t52789\t391-613-8000\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35227\tAbigail\tRuddy\tM\t1948\t\t97 South Geneva Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t587-269-1680\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36117\tAbner\tEverett\tM\t1954\t\t107 Covington Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t258-692-7934\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39672\tAbner\tEverett\tM\t1975\tmarried\t107 North Saguache Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t167-248-1619\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43228\tAbner\tEverett\tM\t1957\tmarried\t117 West Gloucester Avenue\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t620-711-8237\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25470\tAbner\tEverett\tM\t1966\tsingle\t17 West Mckenzie Court\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t103-711-9009\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47006\tAbner\tEverett\tM\t1985\t\t27 East Braxton Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t454-716-5260\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50561\tAbner\tEverett\tM\t1960\tmarried\t27 South Page Boulevard\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t526-349-7669\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4117\tAbner\tEverett\tM\t1972\tsingle\t37 North Covington Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t155-204-1940\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7673\tAbner\tEverett\tM\t1988\t\t47 East Saguache Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t230-226-8711\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11228\tAbner\tEverett\tM\t1956\tmarried\t57 Gloucester Drive\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t630-692-5246\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14784\tAbner\tEverett\tM\t1957\t\t57 North Todd Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t361-248-7857\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18339\tAbner\tEverett\tM\t1979\tmarried\t67 West Kaufman Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t229-711-2551\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12112\tAbner\tEverett\tM\t1963\tmarried\t7 South 5th Circle\t58488\tDolores\t51391\tCO\t52569\t52790\t570-248-9913\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21894\tAbner\tEverett\tM\t1977\tmarried\t77 East 5th Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t166-716-4030\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25451\tAbner\tEverett\tM\t1955\t\t77 South Mckenzie Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t650-349-6961\tK: 250,000 - 299,999\t15000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29006\tAbner\tEverett\tM\t1951\tsingle\t87 North Braxton Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t629-204-7324\tK: 250,000 - 299,999\t11000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32561\tAbner\tEverett\tM\t1969\tmarried\t97 East Page Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t513-226-7500\tK: 250,000 - 299,999\t7000\tEverett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38784\tAbner\tKenney\tM\t1959\t\t107 West Todd Avenue\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t173-226-3225\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42339\tAbner\tKenney\tM\t1964\tmarried\t117 East Kaufman Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t319-692-5625\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16581\tAbner\tKenney\tM\t1986\t\t17 East Page Court\t45704\tMackville\t51890\tKY\t52632\t52790\t503-692-4047\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46117\tAbner\tKenney\tM\t1961\tsingle\t27 Covington Boulevard\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t411-248-7242\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49672\tAbner\tKenney\tM\t1963\tmarried\t27 North Saguache Boulevard\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t563-711-6988\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3229\tAbner\tKenney\tM\t1958\tmarried\t37 West Gloucester Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t399-716-2429\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6784\tAbner\tKenney\tM\t1964\tsingle\t47 Todd Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t681-349-2026\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10339\tAbner\tKenney\tM\t1961\tmarried\t47 South Kaufman Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t556-204-9439\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13895\tAbner\tKenney\tM\t1983\tmarried\t57 North 5th Drive\t75603\tPalmdale\t52102\tFL\t52595\t52790\t444-226-8453\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17450\tAbner\tKenney\tM\t1984\tsingle\t67 East Mckenzie Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t276-692-6066\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21006\tAbner\tKenney\tM\t1957\tsingle\t77 Braxton Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t119-248-1644\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24562\tAbner\tKenney\tM\t1960\tmarried\t77 North Page Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t498-711-5332\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28117\tAbner\tKenney\tM\t1957\t\t87 West Covington Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t636-716-9795\tK: 250,000 - 299,999\t15000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31672\tAbner\tKenney\tM\t1950\tsingle\t97 Saguache Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t569-349-9468\tK: 250,000 - 299,999\t11000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35228\tAbner\tKenney\tM\t1952\tmarried\t97 South Gloucester Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t537-204-8513\tK: 250,000 - 299,999\t7000\tKenney@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37006\tAbner\tRobbinette\tM\t1953\tsingle\t107 East Braxton Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t572-711-6909\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40561\tAbner\tRobbinette\tM\t1959\tmarried\t107 South Page Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t159-716-9696\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44116\tAbner\tRobbinette\tM\t1956\t\t117 North Covington Avenue\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t527-349-4493\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34359\tAbner\tRobbinette\tM\t1971\tmarried\t17 North Kaufman Court\t54845\tHaswell\t51651\tCO\t52569\t52790\t593-349-9980\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47895\tAbner\tRobbinette\tM\t1963\tmarried\t27 West 5th Boulevard\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t379-204-8906\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1451\tAbner\tRobbinette\tM\t1962\tsingle\t37 Mckenzie Street\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t652-226-5722\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5006\tAbner\tRobbinette\tM\t1989\t\t37 South Braxton Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t304-692-9126\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8561\tAbner\tRobbinette\tM\t1980\tmarried\t47 West Page Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t459-248-8164\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12118\tAbner\tRobbinette\tM\t1968\tsingle\t57 East Covington Drive\t67272\tCloverdale\t51334\tCA\t52567\t52790\t252-711-7989\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15673\tAbner\tRobbinette\tM\t1958\tsingle\t57 South Saguache Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t254-716-6847\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19228\tAbner\tRobbinette\tM\t1981\tmarried\t67 North Gloucester Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t157-349-8214\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48803\tAbner\tRobbinette\tM\t1978\tsingle\t7 South Todd Circle\t55787\tMontara\t51919\tCA\t52567\t52790\t439-716-9572\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22783\tAbner\tRobbinette\tM\t1961\tsingle\t77 East Todd Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t285-204-9202\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26339\tAbner\tRobbinette\tM\t1958\tsingle\t87 Kaufman Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t184-226-5466\tK: 250,000 - 299,999\t11000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29895\tAbner\tRobbinette\tM\t1958\tmarried\t87 South 5th Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t355-692-1044\tK: 250,000 - 299,999\t7000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33450\tAbner\tRobbinette\tM\t1982\tsingle\t97 West Mckenzie Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t104-248-2471\tK: 250,000 - 299,999\t15000\tRobbinette@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37895\tAbner\tRossellett\tM\t1955\tmarried\t107 West 5th Avenue\t71750\tSalthill\t52287\tGalway\t52608\t52772\t606-349-8512\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41450\tAbner\tRossellett\tM\t1964\tsingle\t117 Mckenzie Avenue\t85858\tKarlsruhe\t51718\tBaden-Wuerttemberg\t52559\t52776\t651-204-7767\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45005\tAbner\tRossellett\tM\t1960\tsingle\t117 South Braxton Avenue\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t290-226-3064\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7692\tAbner\tRossellett\tM\t1967\tmarried\t17 Saguache Court\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t314-204-8900\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43247\tAbner\tRossellett\tM\t1973\tmarried\t17 South Gloucester Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t680-226-9336\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48784\tAbner\tRossellett\tM\t1962\tsingle\t27 West Todd Boulevard\t74342\tLisburn\t51799\tNorthern Ireland - County Antr\t52686\t52789\t576-692-7085\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2340\tAbner\tRossellett\tM\t1959\tsingle\t37 East Kaufman Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t660-248-8364\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5895\tAbner\tRossellett\tM\t1955\tmarried\t47 5th Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t340-711-3082\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9450\tAbner\tRossellett\tM\t1974\tsingle\t47 North Mckenzie Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t477-716-6896\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13006\tAbner\tRossellett\tM\t1965\tmarried\t57 West Braxton Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t613-349-1702\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16562\tAbner\tRossellett\tM\t1976\tmarried\t67 Page Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t110-204-8560\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20117\tAbner\tRossellett\tM\t1970\tsingle\t67 South Covington Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t143-226-5436\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23673\tAbner\tRossellett\tM\t1987\t\t77 West Saguache Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t511-692-9507\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27228\tAbner\tRossellett\tM\t1956\tmarried\t87 East Gloucester Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t663-248-6591\tK: 250,000 - 299,999\t7000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30783\tAbner\tRossellett\tM\t1959\t\t87 South Todd Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t552-711-4706\tK: 250,000 - 299,999\t15000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36115\tAbel\tAaron\tM\t1936\tmarried\t107 Corson Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t692-104-2604\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39670\tAbel\tAaron\tM\t1953\t\t107 North Sacramento Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t335-101-4526\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43226\tAbel\tAaron\tM\t1980\tsingle\t117 West Genesee Avenue\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t602-520-2778\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25448\tAbel\tAaron\tM\t1929\tmarried\t17 West McHenry Court\t87901\tPetaling Jaya\t52109\tSelangor\t52738\t52769\t325-520-9067\tB: 30,000 - 49,999\t7000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47004\tAbel\tAaron\tM\t1939\t\t27 East Boyd Boulevard\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t416-509-5527\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50559\tAbel\tAaron\tM\t1970\tsingle\t27 South Pacific Boulevard\t37842\tStockport\t52327\tEngland - Greater Manchester\t52590\t52789\t540-233-7525\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4115\tAbel\tAaron\tM\t1968\tmarried\t37 North Corson Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t623-667-6791\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7671\tAbel\tAaron\tM\t1928\t\t47 East Sacramento Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t536-469-7806\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11226\tAbel\tAaron\tM\t1942\tsingle\t57 Genesee Drive\t45142\tDelhi\t51384\tDelhi\t52578\t52771\t499-104-5506\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14782\tAbel\tAaron\tM\t1960\tmarried\t57 North Tioga Drive\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t398-101-5334\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18337\tAbel\tAaron\tM\t1945\t\t67 West Juniata Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t694-520-6052\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21892\tAbel\tAaron\tM\t1966\tsingle\t77 Zapata Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t495-509-2740\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25449\tAbel\tAaron\tM\t1948\tmarried\t77 South McHenry Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t237-233-7990\tB: 30,000 - 49,999\t5000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29004\tAbel\tAaron\tM\t1969\t\t87 North Boyd Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t424-667-5127\tB: 30,000 - 49,999\t1500\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32559\tAbel\tAaron\tM\t1962\tsingle\t97 East Pacific Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t507-469-8894\tB: 30,000 - 49,999\t3000\tAaron@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37004\tAbel\tEmbrey\tM\t1926\t\t107 East Boyd Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t185-520-5285\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40559\tAbel\tEmbrey\tM\t1932\tsingle\t107 South Pacific Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t489-509-3814\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44114\tAbel\tEmbrey\tM\t1946\tmarried\t117 North Corson Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t555-233-8158\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34337\tAbel\tEmbrey\tM\t1959\t\t17 North Juniata Court\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t493-233-8071\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47893\tAbel\tEmbrey\tM\t1922\tsingle\t27 East Zapata Boulevard\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t175-667-5441\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1449\tAbel\tEmbrey\tM\t1972\tmarried\t37 McHenry Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t131-469-9161\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5004\tAbel\tEmbrey\tM\t1934\t\t37 South Boyd Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t367-104-7648\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8559\tAbel\tEmbrey\tM\t1940\tsingle\t47 West Pacific Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t305-101-2637\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12116\tAbel\tEmbrey\tM\t1931\tmarried\t57 East Corson Drive\t74903\tArnhem\t51071\tGelderland\t52610\t52770\t401-520-6150\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15671\tAbel\tEmbrey\tM\t1973\t\t57 South Sacramento Drive\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t628-509-4754\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19226\tAbel\tEmbrey\tM\t1944\tsingle\t67 North Genesee Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t339-233-1774\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48781\tAbel\tEmbrey\tM\t1971\tmarried\t7 South Tioga Circle\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t300-509-2752\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22781\tAbel\tEmbrey\tM\t1941\tmarried\t77 East Tioga Avenue\t44792\tEdam\t51441\tNoord-Holland\t52683\t52770\t575-667-3134\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26337\tAbel\tEmbrey\tM\t1938\t\t87 Juniata Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t346-469-2772\tB: 30,000 - 49,999\t1500\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29893\tAbel\tEmbrey\tM\t1958\tsingle\t87 North Zapata Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t136-104-9447\tB: 30,000 - 49,999\t3000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33448\tAbel\tEmbrey\tM\t1964\tmarried\t97 West Mchenry Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t611-101-8908\tB: 30,000 - 49,999\t5000\tEmbrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37893\tAbel\tVance\tM\t1954\tsingle\t107 East Zapata Avenue\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t472-233-3035\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41448\tAbel\tVance\tM\t1949\tmarried\t117 McHenry Avenue\t32099\tClifden\t51331\tGalway\t52608\t52772\t533-667-3664\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45003\tAbel\tVance\tM\t1955\t\t117 South Boyd Avenue\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t224-469-4640\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7670\tAbel\tVance\tM\t1965\t\t17 Sacramento Court\t41616\tRuinen\t52177\tDrenthe\t52579\t52770\t113-667-4744\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43225\tAbel\tVance\tM\t1956\tsingle\t17 South Genesee Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t213-469-2022\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48782\tAbel\tVance\tM\t1967\tmarried\t27 West Tioga Boulevard\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t485-104-3780\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2338\tAbel\tVance\tM\t1961\t\t37 East Juniata Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t193-101-9192\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5893\tAbel\tVance\tM\t1978\tsingle\t37 South Zapata Street\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t490-520-2691\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9448\tAbel\tVance\tM\t1947\tmarried\t47 North McHenry Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t123-509-2107\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13004\tAbel\tVance\tM\t1950\t\t57 West Boyd Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t303-233-6427\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16560\tAbel\tVance\tM\t1935\tsingle\t67 Pacific Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t562-667-8611\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20115\tAbel\tVance\tM\t1937\tmarried\t67 South Corson Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t296-469-9294\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23671\tAbel\tVance\tM\t1937\t\t77 West Sacramento Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t655-104-6876\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27226\tAbel\tVance\tM\t1933\tsingle\t87 East Genesee Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t482-101-8372\tB: 30,000 - 49,999\t3000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30781\tAbel\tVance\tM\t1977\tmarried\t87 South Tioga Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t197-520-7884\tB: 30,000 - 49,999\t5000\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34338\tAbel\tVance\tM\t1952\t\t97 North Juniata Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t447-509-8701\tB: 30,000 - 49,999\t1500\tVance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38782\tAbel\tWalsh\tM\t1924\tmarried\t107 West Tioga Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t597-469-7628\tB: 30,000 - 49,999\t7000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42337\tAbel\tWalsh\tM\t1963\t\t117 East Juniata Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t582-104-6232\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16559\tAbel\tWalsh\tM\t1925\tsingle\t17 East Pacific Court\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t153-104-3047\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46115\tAbel\tWalsh\tM\t1974\tmarried\t27 Corson Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t227-101-3184\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49670\tAbel\tWalsh\tM\t1975\t\t27 North Sacramento Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t474-520-3415\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3227\tAbel\tWalsh\tM\t1930\tsingle\t37 West Genesee Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t595-509-8558\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6782\tAbel\tWalsh\tM\t1951\tmarried\t47 Tioga Road\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t168-233-8162\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10337\tAbel\tWalsh\tM\t1921\t\t47 South Juniata Road\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t180-667-5648\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13893\tAbel\tWalsh\tM\t1941\tsingle\t57 West Zapata Drive\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t659-469-7856\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17448\tAbel\tWalsh\tM\t1943\tmarried\t67 East McHenry Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t386-104-2423\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21004\tAbel\tWalsh\tM\t1923\t\t77 Boyd Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t516-101-9098\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24560\tAbel\tWalsh\tM\t1928\tsingle\t77 North Pacific Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t678-520-3884\tB: 30,000 - 49,999\t5000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n28115\tAbel\tWalsh\tM\t1927\tmarried\t87 West Corson Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t128-509-9335\tB: 30,000 - 49,999\t7000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31670\tAbel\tWalsh\tM\t1957\t\t97 Sacramento Avenue\t80563\tDiemen\t51387\tNoord-Holland\t52683\t52770\t699-233-7349\tB: 30,000 - 49,999\t1500\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35226\tAbel\tWalsh\tM\t1976\tsingle\t97 South Genesee Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t684-667-4819\tB: 30,000 - 49,999\t3000\tWalsh@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37894\tAbigail\tGrimes\tM\t1974\t\t107 West 3rd Avenue\t51291\tGeleen\t51577\tLimburg\t52646\t52770\t670-613-8694\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41449\tAbigail\tGrimes\tM\t1967\tsingle\t117 Mcintosh Avenue\t32099\tClifden\t51331\tGalway\t52608\t52772\t617-269-4886\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45004\tAbigail\tGrimes\tM\t1951\tmarried\t117 South Bradford Avenue\t44341\tRedbridge\t52160\tEngland - Greater London\t52589\t52789\t390-133-4233\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7681\tAbigail\tGrimes\tM\t1944\tmarried\t17 Sagadahoc Court\t72513\tManchester\t51896\tEngland - Greater Manchester\t52590\t52789\t108-269-9166\tG: 130,000 - 149,999\t3000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43236\tAbigail\tGrimes\tM\t1968\t\t17 South Geneva Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t348-133-3197\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48783\tAbigail\tGrimes\tM\t1984\tsingle\t27 West Toa Alta Boulevard\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t561-207-9052\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2339\tAbigail\tGrimes\tM\t1944\tmarried\t37 East Kanabec Street\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t583-379-6038\tG: 130,000 - 149,999\t3000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5894\tAbigail\tGrimes\tM\t1949\t\t47 3rd Road\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t307-236-8072\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9449\tAbigail\tGrimes\tM\t1975\tsingle\t47 North Mcintosh Road\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t463-194-5387\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13005\tAbigail\tGrimes\tM\t1973\tmarried\t57 West Bradford Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t233-613-2493\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16561\tAbigail\tGrimes\tM\t1943\t\t67 Packard Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t487-269-2253\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20116\tAbigail\tGrimes\tM\t1947\tsingle\t67 South Coshocton Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t298-133-8666\tG: 130,000 - 149,999\t11000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23672\tAbigail\tGrimes\tM\t1965\tmarried\t77 West Sagadahoc Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t568-207-4643\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27227\tAbigail\tGrimes\tM\t1950\t\t87 East Geneva Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t132-379-3159\tG: 130,000 - 149,999\t7000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30782\tAbigail\tGrimes\tM\t1971\tsingle\t87 South Toa Alta Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t330-236-5302\tG: 130,000 - 149,999\t9000\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34339\tAbigail\tGrimes\tM\t1953\tmarried\t97 North Kanabec Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t624-194-9281\tG: 130,000 - 149,999\t1500\tGrimes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37005\tAbigail\tHusky\tM\t1947\tmarried\t107 East Bradford Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t608-236-4268\tG: 130,000 - 149,999\t3000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40560\tAbigail\tHusky\tM\t1962\t\t107 South Packard Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t668-194-9928\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44115\tAbigail\tHusky\tM\t1981\tsingle\t117 North Coshocton Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t380-613-8241\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34348\tAbigail\tHusky\tM\t1954\tmarried\t17 North Kanabec Court\t76486\tBuenos Aires\t51223\tBuenos Aires\t52566\t52773\t109-613-9345\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47894\tAbigail\tHusky\tM\t1960\t\t27 West 3rd Boulevard\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t101-269-7110\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1450\tAbigail\tHusky\tM\t1945\tsingle\t37 Mcintosh Street\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t677-133-4062\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5005\tAbigail\tHusky\tM\t1979\tmarried\t37 South Bradford Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t265-207-5108\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8560\tAbigail\tHusky\tM\t1980\t\t47 West Packard Road\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t170-379-7858\tG: 130,000 - 149,999\t7000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12117\tAbigail\tHusky\tM\t1945\tsingle\t57 East Coshocton Drive\t69812\tMerton\t51911\tEngland - Greater London\t52589\t52789\t332-236-4447\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15672\tAbigail\tHusky\tM\t1956\tmarried\t57 South Sagadahoc Drive\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t551-194-8835\tG: 130,000 - 149,999\t1500\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19227\tAbigail\tHusky\tM\t1941\t\t67 North Geneva Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t187-613-7403\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48792\tAbigail\tHusky\tM\t1959\tsingle\t7 South Toa Alta Circle\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t405-194-9055\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22782\tAbigail\tHusky\tM\t1946\tsingle\t77 East Toa Alta Avenue\t85965\tAmstelveen\t51063\tUtrecht\t52750\t52770\t446-269-2415\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26338\tAbigail\tHusky\tM\t1948\tmarried\t87 Kanabec Avenue\t80601\tSao Jose dos Campos\t52294\tSao Paulo\t52735\t52775\t122-133-8393\tG: 130,000 - 149,999\t3000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29894\tAbigail\tHusky\tM\t1943\t\t87 South 3rd Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t383-207-2601\tG: 130,000 - 149,999\t9000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33449\tAbigail\tHusky\tM\t1948\tsingle\t97 West Mcintosh Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t400-379-3430\tG: 130,000 - 149,999\t11000\tHusky@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36116\tAbigail\tKessel\tM\t1948\tsingle\t107 Coshocton Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t609-207-9951\tG: 130,000 - 149,999\t11000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39671\tAbigail\tKessel\tM\t1982\tmarried\t107 North Sagadahoc Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t574-379-2372\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43227\tAbigail\tKessel\tM\t1957\t\t117 West Geneva Avenue\t59200\tDiss\t51390\tEngland - Norfolk\t52591\t52789\t338-236-6193\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25459\tAbigail\tKessel\tM\t1947\tsingle\t17 West Mcintosh Court\t91213\tSecunderabad\t52303\tAndhra Pradesh\t52547\t52771\t317-236-5172\tG: 130,000 - 149,999\t11000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47005\tAbigail\tKessel\tM\t1951\tmarried\t27 East Bradford Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t481-194-2262\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50560\tAbigail\tKessel\tM\t1970\t\t27 South Packard Boulevard\t37842\tStockport\t52327\tEngland - Greater Manchester\t52590\t52789\t644-613-7359\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4116\tAbigail\tKessel\tM\t1961\tsingle\t37 North Coshocton Street\t78247\tVelp\t52438\tGelderland\t52610\t52770\t189-269-2453\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7672\tAbigail\tKessel\tM\t1972\tmarried\t47 East Sagadahoc Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t664-133-3881\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11227\tAbigail\tKessel\tM\t1966\t\t57 Geneva Drive\t45142\tDelhi\t51384\tDelhi\t52578\t52771\t431-207-9962\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14783\tAbigail\tKessel\tM\t1983\tsingle\t57 North Toa Alta Drive\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t504-379-9651\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18338\tAbigail\tKessel\tM\t1952\tmarried\t67 West Kanabec Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t350-236-9902\tG: 130,000 - 149,999\t1500\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1\tAbigail\tKessel\tM\t1946\t\t7 South 3rd Circle\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t127-379-8954\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21893\tAbigail\tKessel\tM\t1955\t\t77 East 3rd Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t324-194-3448\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25450\tAbigail\tKessel\tM\t1950\tsingle\t77 South Mcintosh Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t196-613-9799\tG: 130,000 - 149,999\t9000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29005\tAbigail\tKessel\tM\t1947\tmarried\t87 North Bradford Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t695-269-5495\tG: 130,000 - 149,999\t3000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32560\tAbigail\tKessel\tM\t1952\t\t97 East Packard Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t645-133-1892\tG: 130,000 - 149,999\t7000\tKessel@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38783\tAbigail\tRuddy\tM\t1963\tsingle\t107 West Toa Alta Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t530-133-5770\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42338\tAbigail\tRuddy\tM\t1969\tmarried\t117 East Kanabec Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t381-207-3944\tG: 130,000 - 149,999\t1500\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16570\tAbigail\tRuddy\tM\t1958\t\t17 East Packard Court\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t662-207-4294\tG: 130,000 - 149,999\t7000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46116\tAbigail\tRuddy\tM\t1985\tsingle\t27 Coshocton Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t218-379-8944\tG: 130,000 - 149,999\t9000\tRuddy@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6787\tAda\tKitchens\tF\t1945\t\t47 Toombs Road\t80040\tAlsen\t51060\tND\t52665\t52790\t463-254-8496\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10342\tAda\tKitchens\tF\t1966\tsingle\t47 South Kennebec Road\t64759\tNew Hartford\t51979\tNY\t52679\t52790\t233-491-5440\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13898\tAda\tKitchens\tF\t1948\tmarried\t57 North Adair Drive\t49027\tOzan\t52043\tAR\t52540\t52790\t487-389-2213\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17453\tAda\tKitchens\tF\t1969\t\t67 East Mclennan Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t298-258-9173\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21009\tAda\tKitchens\tF\t1962\tsingle\t77 Breathitt Avenue\t89000\tWadsworth\t52491\tNV\t52678\t52790\t568-644-8601\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24565\tAda\tKitchens\tF\t1936\tmarried\t77 North Palo Pinto Avenue\t86419\tSaint-Briac-sur-Mer\t52280\tBrittany\t52565\t52779\t132-253-5684\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28120\tAda\tKitchens\tF\t1953\t\t87 West Crawford Avenue\t76071\tLavallette\t51789\tNJ\t52670\t52790\t330-616-9506\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31675\tAda\tKitchens\tF\t1980\tsingle\t97 Saint Francis Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t624-254-1249\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35231\tAda\tKitchens\tF\t1971\tmarried\t97 South Gonzales Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t670-491-5656\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37898\tAda\tMaine\tF\t1929\tmarried\t107 West Adair Avenue\t71138\tAntibes\t51066\tProvence-Alpes-Cote d'Azur\t52701\t52779\t668-254-3764\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41453\tAda\tMaine\tF\t1939\t\t117 Mclennan Avenue\t32264\tCorwith\t51341\tIA\t52618\t52790\t380-491-5211\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45008\tAda\tMaine\tF\t1970\tsingle\t117 South Breathitt Avenue\t90135\tBad Neustadt\t51155\tBayern\t52561\t52776\t174-389-3358\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7725\tAda\tMaine\tF\t1930\tsingle\t17 Saint Francis Court\t81680\tWuerzburg\t52518\tBayern\t52561\t52776\t109-491-8000\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43280\tAda\tMaine\tF\t1951\tmarried\t17 South Gonzales Court\t84256\tStrang\t52329\tNE\t52666\t52790\t101-389-1680\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48787\tAda\tMaine\tF\t1921\t\t27 West Toombs Boulevard\t90953\tHolyrood\t51667\tKS\t52630\t52790\t677-258-5770\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2343\tAda\tMaine\tF\t1941\tsingle\t37 East Kennebec Street\t88252\tCrownpoint\t51346\tIN\t52621\t52790\t265-644-3944\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5898\tAda\tMaine\tF\t1943\tmarried\t47 Adair Road\t79783\tVass\t52435\tNC\t52664\t52790\t170-253-7393\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9453\tAda\tMaine\tF\t1923\t\t47 North Mclennan Road\t34547\tHatfield\t51652\tWI\t52760\t52790\t332-616-8434\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13009\tAda\tMaine\tF\t1928\tsingle\t57 West Breathitt Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t551-254-8260\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16565\tAda\tMaine\tF\t1927\tmarried\t67 Palo Pinto Avenue\t72740\tToxey\t52377\tAL\t52534\t52790\t187-491-2466\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20120\tAda\tMaine\tF\t1957\t\t67 South Crawford Avenue\t39895\tDarmstadt\t51380\tHessen\t52617\t52776\t446-389-8046\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23676\tAda\tMaine\tF\t1976\tsingle\t77 West Saint Francis Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t122-258-3091\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27231\tAda\tMaine\tF\t1924\tmarried\t87 East Gonzales Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t383-644-1773\tB: 30,000 - 49,999\t3000\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30786\tAda\tMaine\tF\t1963\t\t87 South Toombs Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t400-253-7852\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34343\tAda\tMaine\tF\t1979\tsingle\t97 North Kennebec Avenue\t78438\tWiesbaden\t52510\tHessen\t52617\t52776\t608-616-5414\tB: 30,000 - 49,999\t1500\tMaine@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36120\tAda\tNenninger\tF\t1965\t\t107 Crawford Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t530-258-5624\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39675\tAda\tNenninger\tF\t1956\tsingle\t107 North Saint Francis Avenue\t43134\tFreiburg\t51521\tBaden-Wuerttemberg\t52559\t52776\t381-644-1329\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43231\tAda\tNenninger\tF\t1967\tmarried\t117 West Gonzales Avenue\t73630\tKarlslunde\t51717\tRoskilde\t52715\t52777\t588-253-3828\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25503\tAda\tNenninger\tF\t1934\t\t17 West Mclennan Court\t75023\tAlbion\t51049\tIN\t52621\t52790\t218-253-3430\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47009\tAda\tNenninger\tF\t1940\tsingle\t27 East Breathitt Boulevard\t56100\tJena\t51696\tThueringen\t52746\t52776\t519-616-4268\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50564\tAda\tNenninger\tF\t1931\tmarried\t27 South Palo Pinto Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t327-254-9928\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4120\tAda\tNenninger\tF\t1973\t\t37 North Crawford Street\t36710\tMougins\t51925\tProvence-Alpes-Cote d'Azur\t52701\t52779\t288-491-8241\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7676\tAda\tNenninger\tF\t1944\tsingle\t47 East Saint Francis Road\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t222-389-1879\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11231\tAda\tNenninger\tF\t1941\tmarried\t57 Gonzales Drive\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t675-258-8818\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14787\tAda\tNenninger\tF\t1938\t\t57 North Toombs Drive\t91086\tHusum\t51671\tSchleswig-Holstein\t52736\t52776\t183-644-5372\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18342\tAda\tNenninger\tF\t1958\tsingle\t67 West Kennebec Avenue\t52092\tGrand Pressigny\t51589\tCentre\t52573\t52779\t129-253-3441\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45445\tAda\tNenninger\tF\t1972\tmarried\t7 South Adair Circle\t39094\tGif-sur-Yvette\t51581\tIle-de-France\t52623\t52779\t662-644-2601\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21897\tAda\tNenninger\tF\t1964\tmarried\t77 East Adair Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t689-616-9385\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25454\tAda\tNenninger\tF\t1926\t\t77 South Mclennan Avenue\t54375\tLloret de Mar\t51801\tGirona\t52611\t52778\t208-254-1323\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29009\tAda\tNenninger\tF\t1932\tsingle\t87 North Breathitt Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t391-491-7643\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32564\tAda\tNenninger\tF\t1946\tmarried\t97 East Palo Pinto Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t587-389-1946\tB: 30,000 - 49,999\t1500\tNenninger@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37899\tAdel\tHarris\tF\t1953\tsingle\t107 West Adams Avenue\t53814\tFukuoka\t51524\tFukuoka\t52601\t52782\t159-688-1576\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41454\tAdel\tHarris\tF\t1953\tsingle\t117 Mcpherson Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t527-217-4716\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45009\tAdel\tHarris\tF\t1972\tsingle\t117 South Breckinridge Avenue\t41579\tEnschede\t51453\tOverijssel\t52692\t52770\t566-494-7009\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7736\tAdel\tHarris\tF\t1966\tsingle\t17 Saint Lawrence Court\t34427\tGalway City\t51571\tGalway\t52608\t52772\t593-217-9468\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43291\tAdel\tHarris\tF\t1950\tsingle\t17 South Goodhue Court\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t379-494-8513\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48788\tAdel\tHarris\tF\t1979\tsingle\t27 West Towner Boulevard\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t652-795-3225\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2344\tAdel\tHarris\tF\t1955\tsingle\t37 East Kenedey Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t304-526-5625\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5899\tAdel\tHarris\tF\t1954\tsingle\t47 Adams Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t459-409-8545\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9454\tAdel\tHarris\tF\t1952\tsingle\t47 North Mcpherson Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t252-786-7111\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13010\tAdel\tHarris\tF\t1980\tsingle\t57 West Breckinridge Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t254-688-1565\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16566\tAdel\tHarris\tF\t1951\tsingle\t67 Panola Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t157-217-4243\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20121\tAdel\tHarris\tF\t1955\tsingle\t67 South Crittenden Avenue\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t285-494-5944\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23677\tAdel\tHarris\tF\t1952\tsingle\t77 West Saint Lawrence Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t184-795-4839\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n27232\tAdel\tHarris\tF\t1965\tsingle\t87 East Goodhue Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t355-526-4434\tI: 170,000 - 189,999\t3000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30787\tAdel\tHarris\tF\t1971\tsingle\t87 South Towner Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t104-409-3270\tI: 170,000 - 189,999\t5000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n34344\tAdel\tHarris\tF\t1954\tsingle\t97 North Kenedey Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t572-786-7003\tI: 170,000 - 189,999\t10000\tHarris@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38788\tAdel\tPeebles\tF\t1956\tsingle\t107 West Towner Avenue\t68404\tWekerom\t52502\tGelderland\t52610\t52770\t651-494-7405\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42343\tAdel\tPeebles\tF\t1962\tsingle\t117 East Kenedey Avenue\t49682\tWaddinxveen\t52490\tZuid-Holland\t52771\t52770\t290-795-2058\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16625\tAdel\tPeebles\tF\t1963\tsingle\t17 East Panola Court\t31794\tBilthoven\t51189\tUtrecht\t52750\t52770\t680-795-7500\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46121\tAdel\tPeebles\tF\t1974\tsingle\t27 Crittenden Boulevard\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t576-526-7934\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49676\tAdel\tPeebles\tF\t1968\tsingle\t27 North Saint Lawrence Boulevard\t60332\tEde\t51442\tGelderland\t52610\t52770\t660-409-1619\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3233\tAdel\tPeebles\tF\t1985\tsingle\t37 West Goodhue Street\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t340-786-8237\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6788\tAdel\tPeebles\tF\t1954\tsingle\t47 Towner Road\t72270\tRichmond-upon-Thames\t52166\tEngland - Greater London\t52589\t52789\t477-688-1056\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10343\tAdel\tPeebles\tF\t1957\tsingle\t47 South Kenedey Road\t78247\tVelp\t52438\tGelderland\t52610\t52770\t613-217-4141\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13899\tAdel\tPeebles\tF\t1956\tsingle\t57 North Adams Drive\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t110-494-9884\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17454\tAdel\tPeebles\tF\t1951\tsingle\t67 East Mcpherson Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t143-795-9669\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21010\tAdel\tPeebles\tF\t1958\tsingle\t77 Breckinridge Avenue\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t511-526-2584\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24566\tAdel\tPeebles\tF\t1954\tsingle\t77 North Panola Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t663-409-8073\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28121\tAdel\tPeebles\tF\t1984\tsingle\t87 West Crittenden Avenue\t61905\tVeldhoven\t52437\tNoord-Brabant\t52682\t52770\t552-786-7653\tI: 170,000 - 189,999\t5000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31676\tAdel\tPeebles\tF\t1959\tsingle\t97 Saint Lawrence Avenue\t79570\tDun Laoghaire\t51401\tDublin\t52580\t52772\t112-688-9770\tI: 170,000 - 189,999\t10000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35232\tAdel\tPeebles\tF\t1961\tsingle\t97 South Goodhue Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t606-217-4997\tI: 170,000 - 189,999\t3000\tPeebles@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36121\tAdel\tRhodes\tF\t1952\tsingle\t107 Crittenden Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t173-795-8362\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39676\tAdel\tRhodes\tF\t1970\tsingle\t107 North Saint Lawrence Avenue\t55857\tPune\t52114\tMaharashtra\t52660\t52771\t319-526-7122\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43232\tAdel\tRhodes\tF\t1986\tsingle\t117 West Goodhue Avenue\t33529\tLondrina\t51804\tParana\t52698\t52775\t685-409-1459\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25514\tAdel\tRhodes\tF\t1981\tsingle\t17 West Mcpherson Court\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t411-409-2471\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47010\tAdel\tRhodes\tF\t1982\tsingle\t27 East Breckinridge Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t563-786-6909\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50565\tAdel\tRhodes\tF\t1951\tsingle\t27 South Panola Boulevard\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t399-688-9696\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4121\tAdel\tRhodes\tF\t1958\tsingle\t37 North Crittenden Street\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t681-217-4493\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7677\tAdel\tRhodes\tF\t1949\tsingle\t47 East Saint Lawrence Road\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t556-494-8931\tI: 170,000 - 189,999\t15000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11232\tAdel\tRhodes\tF\t1948\tsingle\t57 Goodhue Drive\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t444-795-6409\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14788\tAdel\tRhodes\tF\t1950\tsingle\t57 North Towner Drive\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t276-526-2389\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18343\tAdel\tRhodes\tF\t1951\tsingle\t67 West Kenedey Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t119-409-3261\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46557\tAdel\tRhodes\tF\t1953\tsingle\t7 South Adams Circle\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t503-526-1044\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21898\tAdel\tRhodes\tF\t1956\tsingle\t77 East Adams Avenue\t31246\tTijnje\t52368\tFriesland\t52600\t52770\t498-786-8656\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25455\tAdel\tRhodes\tF\t1955\tsingle\t77 South Mcpherson Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t636-688-9322\tI: 170,000 - 189,999\t5000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29010\tAdel\tRhodes\tF\t1964\tsingle\t87 North Breckinridge Avenue\t44792\tEdam\t51441\tNoord-Holland\t52683\t52770\t569-217-5149\tI: 170,000 - 189,999\t10000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32565\tAdel\tRhodes\tF\t1983\tsingle\t97 East Panola Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t537-494-7714\tI: 170,000 - 189,999\t3000\tRhodes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37010\tAdel\tRyan\tF\t1960\tsingle\t107 East Breckinridge Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t167-409-1549\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40565\tAdel\tRyan\tF\t1987\tsingle\t107 South Panola Avenue\t69987\tBlumenau\t51201\tSanta Catarina\t52734\t52775\t620-786-5376\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44120\tAdel\tRyan\tF\t1978\tsingle\t117 North Crittenden Avenue\t81052\tDelft\t51383\tZuid-Holland\t52771\t52770\t415-688-2195\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34403\tAdel\tRyan\tF\t1953\tsingle\t17 North Kenedey Court\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t454-688-1100\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47899\tAdel\tRyan\tF\t1977\tsingle\t27 West Adams Boulevard\t91767\tRotterdam\t52176\tZuid-Holland\t52771\t52770\t526-217-8512\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1455\tAdel\tRyan\tF\t1975\tsingle\t37 Mcpherson Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t155-494-7767\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5010\tAdel\tRyan\tF\t1949\tsingle\t37 South Breckinridge Street\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t230-795-3064\tI: 170,000 - 189,999\t15000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8565\tAdel\tRyan\tF\t1949\tsingle\t47 West Panola Road\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t630-526-1901\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12122\tAdel\tRyan\tF\t1967\tsingle\t57 East Crittenden Drive\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t361-409-3646\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15677\tAdel\tRyan\tF\t1952\tsingle\t57 South Saint Lawrence Drive\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t229-786-9601\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19232\tAdel\tRyan\tF\t1973\tsingle\t67 North Goodhue Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t166-688-6407\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48847\tAdel\tRyan\tF\t1950\tsingle\t7 South Towner Circle\t64289\tHeerenveen\t51653\tFriesland\t52600\t52770\t103-786-4706\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22787\tAdel\tRyan\tF\t1955\tsingle\t77 East Towner Avenue\t60073\tKlang\t51732\tSelangor\t52738\t52769\t650-217-2384\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26343\tAdel\tRyan\tF\t1976\tsingle\t87 Kenedey Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t629-494-8504\tI: 170,000 - 189,999\t10000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29899\tAdel\tRyan\tF\t1969\tsingle\t87 South Adams Avenue\t72620\tEnkhuizen\t51452\tNoord-Holland\t52683\t52770\t513-795-1419\tI: 170,000 - 189,999\t3000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33454\tAdel\tRyan\tF\t1957\tsingle\t97 West Mcpherson Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t258-526-9777\tI: 170,000 - 189,999\t5000\tRyan@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37013\tAnand\tDrumm\tM\t1956\tsingle\t107 East Britnay Avenue\t87082\tEmden\t51450\tNiedersachsen\t52681\t52776\t381-523-8987\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40568\tAnand\tDrumm\tM\t1953\tsingle\t107 South Park Presido Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t588-755-4603\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44123\tAnand\tDrumm\tM\t1949\tsingle\t117 North Cumberland Avenue\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t318-229-4713\tH: 150,000 - 169,999\t3000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34436\tAnand\tDrumm\tM\t1950\tsingle\t17 North Kershaw Court\t43866\tPerry\t52107\tIL\t52619\t52790\t519-229-5414\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47902\tAnand\tDrumm\tM\t1964\tsingle\t27 West Aiken Boulevard\t31463\tHeidelberg\t51654\tBaden-Wuerttemberg\t52559\t52776\t327-172-3764\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1458\tAnand\tDrumm\tM\t1970\tsingle\t37 Medina Street\t33396\tSchwerin\t52302\tMecklenburg-Vorpommern\t52662\t52776\t288-291-5211\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5013\tAnand\tDrumm\tM\t1950\tsingle\t37 South Britnay Street\t41046\tBristol, VT\t51220\tVT\t52754\t52790\t222-530-3358\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8568\tAnand\tDrumm\tM\t1950\tsingle\t47 West Park Presido Road\t92330\tMullins\t51931\tSC\t52722\t52790\t675-712-4502\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12125\tAnand\tDrumm\tM\t1952\tsingle\t57 East Cumberland Drive\t72200\tHitchita\t51664\tOK\t52689\t52790\t183-523-3732\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15680\tAnand\tDrumm\tM\t1971\tsingle\t57 South Salinas Drive\t34547\tHatfield\t51652\tWI\t52760\t52790\t129-755-2710\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19235\tAnand\tDrumm\tM\t1962\tsingle\t67 North Grady Avenue\t40926\tCork\t51340\tCork\t52575\t52772\t689-229-3890\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48880\tAnand\tDrumm\tM\t1953\tsingle\t7 South Trigg Circle\t68975\tBuckley\t51222\tWA\t52757\t52790\t218-755-7852\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22790\tAnand\tDrumm\tM\t1973\tsingle\t77 East Trigg Avenue\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t208-172-7701\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26346\tAnand\tDrumm\tM\t1967\tsingle\t87 Kershaw Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t391-291-8642\tH: 150,000 - 169,999\t7000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29902\tAnand\tDrumm\tM\t1984\tsingle\t87 South Aiken Avenue\t42178\tWaldshut\t52494\tBaden-Wuerttemberg\t52559\t52776\t587-530-3195\tH: 150,000 - 169,999\t9000\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33457\tAnand\tDrumm\tM\t1953\tsingle\t97 West Medina Avenue\t90900\tMendham\t51908\tNJ\t52670\t52790\t530-712-5471\tH: 150,000 - 169,999\t1500\tDrumm@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37902\tAnand\tDuval\tM\t1947\tsingle\t107 West Aiken Avenue\t62619\tWinter Springs\t52512\tFL\t52595\t52790\t338-229-1207\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41457\tAnand\tDuval\tM\t1949\tsingle\t117 Medina Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t687-172-6758\tH: 150,000 - 169,999\t3000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45012\tAnand\tDuval\tM\t1947\tsingle\t117 South Britnay Avenue\t67042\tCranford\t51345\tNJ\t52670\t52790\t320-291-2076\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7769\tAnand\tDuval\tM\t1955\tsingle\t17 Salinas Court\t65090\tPetite-Pierre La\t52110\tAlsace\t52546\t52779\t481-172-1249\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43324\tAnand\tDuval\tM\t1951\tsingle\t17 South Grady Court\t63157\tFlensburg\t51505\tSchleswig-Holstein\t52736\t52776\t644-291-5656\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48791\tAnand\tDuval\tM\t1983\tsingle\t27 West Trigg Boulevard\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t189-530-7760\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2347\tAnand\tDuval\tM\t1958\tsingle\t37 East Kershaw Street\t30414\tOilton\t52032\tOK\t52689\t52790\t664-712-5382\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5902\tAnand\tDuval\tM\t1960\tsingle\t47 Aiken Road\t47996\tOran\t52035\tMO\t52657\t52790\t431-523-6158\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9457\tAnand\tDuval\tM\t1955\tsingle\t47 North Medina Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t504-755-4927\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13013\tAnand\tDuval\tM\t1961\tsingle\t57 West Britnay Drive\t90635\tAsnieres\t51073\tIle-de-France\t52623\t52779\t350-229-2514\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16569\tAnand\tDuval\tM\t1949\tsingle\t67 Park Presido Avenue\t86870\tLudwigshafen\t51810\tRheinland-Pfalz\t52710\t52776\t324-172-2465\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20124\tAnand\tDuval\tM\t1980\tsingle\t67 South Cumberland Avenue\t70807\tBridgeport\t51216\tIL\t52619\t52790\t196-291-8510\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23680\tAnand\tDuval\tM\t1981\tsingle\t77 West Salinas Avenue\t50032\tDecatur\t51382\tTX\t52745\t52790\t695-530-9313\tH: 150,000 - 169,999\t7000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27235\tAnand\tDuval\tM\t1948\tsingle\t87 East Grady Avenue\t87836\tChesterfield\t51324\tIL\t52619\t52790\t645-712-3585\tH: 150,000 - 169,999\t11000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30790\tAnand\tDuval\tM\t1957\tsingle\t87 South Trigg Avenue\t39564\tElm Hall\t51449\tMI\t52654\t52790\t609-523-2837\tH: 150,000 - 169,999\t1500\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34347\tAnand\tDuval\tM\t1945\tsingle\t97 North Kershaw Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t574-755-2899\tH: 150,000 - 169,999\t9000\tDuval@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36124\tAnand\tHanes\tM\t1949\tsingle\t107 Cumberland Avenue\t84434\tBourges\t51210\tCentre\t52573\t52779\t617-530-8790\tH: 150,000 - 169,999\t3000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39679\tAnand\tHanes\tM\t1979\tsingle\t107 North Salinas Avenue\t84020\tSykesville\t52335\tMD\t52652\t52790\t390-712-5725\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43235\tAnand\tHanes\tM\t1950\tsingle\t117 West Grady Avenue\t60193\tLittle Port\t51800\tIA\t52618\t52790\t632-523-8826\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25547\tAnand\tHanes\tM\t1954\tsingle\t17 West Medina Court\t65320\tPuako\t52113\tHI\t52615\t52790\t561-523-2186\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47013\tAnand\tHanes\tM\t1975\tsingle\t27 East Britnay Boulevard\t88512\tBlackrock\t51196\tDublin\t52580\t52772\t583-755-3009\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50568\tAnand\tHanes\tM\t1968\tsingle\t27 South Park Presido Boulevard\t81172\tFort Klamath\t51514\tOR\t52690\t52790\t307-229-9212\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4124\tAnand\tHanes\tM\t1954\tsingle\t37 North Cumberland Street\t83455\tBryant\t51221\tAR\t52540\t52790\t463-172-5136\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7680\tAnand\tHanes\tM\t1959\tsingle\t47 East Salinas Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t233-291-5959\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11235\tAnand\tHanes\tM\t1986\tsingle\t57 Grady Drive\t58140\tMeribel\t51910\tRhtne-Alpes\t52711\t52779\t487-530-7674\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14791\tAnand\tHanes\tM\t1977\tsingle\t57 North Trigg Drive\t57217\tNew Market\t51980\tVA\t52751\t52790\t298-712-7154\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n18346\tAnand\tHanes\tM\t1965\tsingle\t67 West Kershaw Avenue\t62476\tSheldon\t52308\tWI\t52760\t52790\t568-523-5823\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49890\tAnand\tHanes\tM\t1972\tsingle\t7 South Aiken Circle\t82323\tSpringhill\t52321\tMN\t52656\t52790\t348-712-4192\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21901\tAnand\tHanes\tM\t1946\tsingle\t77 East Aiken Avenue\t58801\tSkagen\t52313\tNorth Jutland\t52685\t52777\t132-755-6023\tH: 150,000 - 169,999\t11000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25458\tAnand\tHanes\tM\t1978\tsingle\t77 South Medina Avenue\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t330-229-5213\tH: 150,000 - 169,999\t1500\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29013\tAnand\tHanes\tM\t1952\tsingle\t87 North Britnay Avenue\t49828\tOxford, NJ\t52042\tNJ\t52670\t52790\t624-172-4211\tH: 150,000 - 169,999\t7000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32568\tAnand\tHanes\tM\t1952\tsingle\t97 East Park Presido Avenue\t82203\tColmar\t51338\tAlsace\t52546\t52779\t670-291-3529\tH: 150,000 - 169,999\t9000\tHanes@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38791\tAnand\tRowley\tM\t1966\tsingle\t107 West Trigg Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t380-291-7182\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34340\tAbner\tRossellett\tM\t1962\tmarried\t97 North Kaufman Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t112-716-1100\tK: 250,000 - 299,999\t11000\tRossellett@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36118\tAbraham\tOdenwalld\tM\t1954\tsingle\t107 Cowlitz Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t277-609-3647\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39673\tAbraham\tOdenwalld\tM\t1957\tsingle\t107 North Saint Charles Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t631-540-7530\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43229\tAbraham\tOdenwalld\tM\t1956\tsingle\t117 West Gogebic Avenue\t72059\tLos Angeles\t51806\tCA\t52567\t52790\t376-727-2624\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25481\tAbraham\tOdenwalld\tM\t1955\tsingle\t17 West Mckinley Court\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t544-727-3089\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47007\tAbraham\tOdenwalld\tM\t1952\tsingle\t27 East Brazoria Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t246-434-7038\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50562\tAbraham\tOdenwalld\tM\t1965\tsingle\t27 South Palm Beach Boulevard\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t590-628-7415\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4118\tAbraham\tOdenwalld\tM\t1971\tsingle\t37 North Cowlitz Street\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t310-357-9914\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7674\tAbraham\tOdenwalld\tM\t1954\tsingle\t47 East Saint Charles Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t169-586-8950\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11229\tAbraham\tOdenwalld\tM\t1953\tsingle\t57 Gogebic Drive\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t656-609-8561\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14785\tAbraham\tOdenwalld\tM\t1953\tsingle\t57 North Tom Green Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t271-540-5195\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18340\tAbraham\tOdenwalld\tM\t1972\tsingle\t67 West Kearney Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t257-727-2699\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23223\tAbraham\tOdenwalld\tM\t1951\tsingle\t7 South 42nd Circle\t58488\tDolores\t51391\tCO\t52569\t52790\t234-540-5189\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21895\tAbraham\tOdenwalld\tM\t1963\tsingle\t77 East 42nd Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t352-434-9382\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25452\tAbraham\tOdenwalld\tM\t1974\tsingle\t77 South Mckinley Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t182-628-6833\tI: 170,000 - 189,999\t1500\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29007\tAbraham\tOdenwalld\tM\t1968\tsingle\t87 North Brazoria Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t377-357-3824\tI: 170,000 - 189,999\t7000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32562\tAbraham\tOdenwalld\tM\t1985\tsingle\t97 East Palm Beach Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t301-586-6004\tI: 170,000 - 189,999\t9000\tOdenwalld@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37896\tAbraham\tRoland\tM\t1949\tsingle\t107 West 42nd Avenue\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t322-628-8532\tI: 170,000 - 189,999\t11000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41451\tAbraham\tRoland\tM\t1967\tsingle\t117 Mckinley Avenue\t78618\tBerea\t51180\tKY\t52632\t52790\t461-357-8174\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45006\tAbraham\tRoland\tM\t1952\tsingle\t117 South Brazoria Avenue\t59500\tEl Sobrante\t51446\tCA\t52567\t52790\t642-586-4732\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7703\tAbraham\tRoland\tM\t1951\tsingle\t17 Saint Charles Court\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t275-357-9699\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43258\tAbraham\tRoland\tM\t1956\tsingle\t17 South Gogebic Court\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t480-586-3273\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48785\tAbraham\tRoland\tM\t1955\tsingle\t27 West Tom Green Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t407-609-4730\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2341\tAbraham\tRoland\tM\t1964\tsingle\t37 East Kearney Street\t70577\tPaterna\t52105\tValencia\t52755\t52778\t242-540-9428\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5896\tAbraham\tRoland\tM\t1983\tsingle\t47 42nd Road\t57579\tDingle\t51389\tKerry\t52637\t52772\t466-727-8139\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9451\tAbraham\tRoland\tM\t1952\tsingle\t47 North Mckinley Road\t67843\tArbuckle\t51069\tCA\t52567\t52790\t347-434-3981\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13007\tAbraham\tRoland\tM\t1970\tsingle\t57 West Brazoria Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t349-628-3782\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16563\tAbraham\tRoland\tM\t1986\tsingle\t67 Palm Beach Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t571-357-4517\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20118\tAbraham\tRoland\tM\t1950\tsingle\t67 South Cowlitz Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t410-586-2272\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23674\tAbraham\tRoland\tM\t1953\tsingle\t77 West Saint Charles Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t388-609-8740\tI: 170,000 - 189,999\t7000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27229\tAbraham\tRoland\tM\t1977\tsingle\t87 East Gogebic Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t686-540-9073\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30784\tAbraham\tRoland\tM\t1975\tsingle\t87 South Tom Green Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t402-727-6421\tI: 170,000 - 189,999\t1500\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34341\tAbraham\tRoland\tM\t1949\tsingle\t97 North Kearney Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t421-434-7697\tI: 170,000 - 189,999\t9000\tRoland@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37007\tAbraham\tSadworth\tM\t1949\tsingle\t107 East Brazoria Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t618-727-2550\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40562\tAbraham\tSadworth\tM\t1948\tsingle\t107 South Palm Beach Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t417-434-1364\tI: 170,000 - 189,999\t11000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44117\tAbraham\tSadworth\tM\t1950\tsingle\t117 North Cowlitz Avenue\t59411\tHenley-on-Thames\t51659\tEngland - Oxfordshire\t52592\t52789\t171-628-4465\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34370\tAbraham\tSadworth\tM\t1958\tsingle\t17 North Kearney Court\t54845\tHaswell\t51651\tCO\t52569\t52790\t423-628-3972\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47896\tAbraham\tSadworth\tM\t1954\tsingle\t27 West 42nd Boulevard\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t248-357-7499\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1452\tAbraham\tSadworth\tM\t1984\tsingle\t37 Mckinley Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t261-586-8780\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5007\tAbraham\tSadworth\tM\t1959\tsingle\t37 South Brazoria Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t512-609-7904\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8562\tAbraham\tSadworth\tM\t1961\tsingle\t47 West Palm Beach Road\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t370-540-6041\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12119\tAbraham\tSadworth\tM\t1956\tsingle\t57 East Cowlitz Drive\t67272\tCloverdale\t51334\tCA\t52567\t52790\t130-727-6830\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15674\tAbraham\tSadworth\tM\t1962\tsingle\t57 South Saint Charles Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t688-434-8605\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19229\tAbraham\tSadworth\tM\t1953\tsingle\t67 North Gogebic Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t464-628-4386\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48814\tAbraham\tSadworth\tM\t1951\tsingle\t7 South Tom Green Circle\t55787\tMontara\t51919\tCA\t52567\t52790\t231-434-3467\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22784\tAbraham\tSadworth\tM\t1981\tsingle\t77 East Tom Green Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t256-357-5707\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26340\tAbraham\tSadworth\tM\t1982\tsingle\t87 Kearney Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t329-586-1279\tI: 170,000 - 189,999\t7000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29896\tAbraham\tSadworth\tM\t1951\tsingle\t87 South 42nd Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t615-609-1545\tI: 170,000 - 189,999\t9000\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33451\tAbraham\tSadworth\tM\t1958\tsingle\t97 West Mckinley Avenue\t52912\tWalsall\t52495\tEngland - West Midlands\t52593\t52789\t207-540-5347\tI: 170,000 - 189,999\t1500\tSadworth@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38785\tAbraham\tWashington\tM\t1952\tsingle\t107 West Tom Green Avenue\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t287-586-2405\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42340\tAbraham\tWashington\tM\t1980\tsingle\t117 East Kearney Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t661-609-3021\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16592\tAbraham\tWashington\tM\t1973\tsingle\t17 East Palm Beach Court\t45704\tMackville\t51890\tKY\t52632\t52790\t538-609-1215\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46118\tAbraham\tWashington\tM\t1955\tsingle\t27 Cowlitz Boulevard\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t369-540-8419\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49673\tAbraham\tWashington\tM\t1976\tsingle\t27 North Saint Charles Boulevard\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t125-727-6940\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3230\tAbraham\tWashington\tM\t1969\tsingle\t37 West Gogebic Street\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t284-434-8837\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6785\tAbraham\tWashington\tM\t1957\tsingle\t47 Tom Green Road\t63736\tKillarney\t51728\tKerry\t52637\t52772\t323-628-5066\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10340\tAbraham\tWashington\tM\t1960\tsingle\t47 South Kearney Road\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t190-357-8870\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13896\tAbraham\tWashington\tM\t1987\tsingle\t57 North 42nd Drive\t77188\tMuenchen\t51928\tBayern\t52561\t52776\t221-586-3480\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17451\tAbraham\tWashington\tM\t1978\tsingle\t67 East Mckinley Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t674-609-1433\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21007\tAbraham\tWashington\tM\t1966\tsingle\t77 Brazoria Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t356-540-1699\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24563\tAbraham\tWashington\tM\t1950\tsingle\t77 North Palm Beach Avenue\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t152-727-3713\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28118\tAbraham\tWashington\tM\t1979\tsingle\t87 West Cowlitz Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t312-434-5092\tI: 170,000 - 189,999\t1500\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31673\tAbraham\tWashington\tM\t1955\tsingle\t97 Saint Charles Avenue\t82774\tKent\t51724\tCT\t52572\t52790\t311-628-4908\tI: 170,000 - 189,999\t7000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35229\tAbraham\tWashington\tM\t1954\tsingle\t97 South Gogebic Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t200-357-1494\tI: 170,000 - 189,999\t9000\tWashington@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37897\tAbsolom\tEastwood\tM\t1966\t\t107 West Accomack Avenue\t40453\tNorth Carrollton\t51989\tMS\t52658\t52790\t489-551-7870\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41452\tAbsolom\tEastwood\tM\t1983\tsingle\t117 Mclean Avenue\t81522\tGays\t51575\tIL\t52619\t52790\t555-164-5710\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45007\tAbsolom\tEastwood\tM\t1952\tmarried\t117 South Brazos Avenue\t65891\tAalen\t51042\tBaden-Wuerttemberg\t52559\t52776\t605-488-3559\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7714\tAbsolom\tEastwood\tM\t1946\tmarried\t17 Saint Clair Court\t51761\tBay City\t51170\tWI\t52760\t52790\t493-164-7349\tG: 130,000 - 149,999\t7000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43269\tAbsolom\tEastwood\tM\t1978\t\t17 South Golden Gate Court\t30211\tLyon\t51814\tRhtne-Alpes\t52711\t52779\t175-488-4819\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48786\tAbsolom\tEastwood\tM\t1949\tsingle\t27 West Tooele Boulevard\t90953\tHolyrood\t51667\tKS\t52630\t52790\t131-766-7628\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2342\tAbsolom\tEastwood\tM\t1951\tmarried\t37 East Kendall Street\t37281\tDanville\t51379\tMO\t52657\t52790\t367-771-6232\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5897\tAbsolom\tEastwood\tM\t1948\t\t47 Accomack Road\t74673\tDuncan\t51402\tSC\t52722\t52790\t305-476-1865\tG: 130,000 - 149,999\t15000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9452\tAbsolom\tEastwood\tM\t1963\tsingle\t47 North Mclean Road\t34547\tHatfield\t51652\tWI\t52760\t52790\t401-458-5401\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13008\tAbsolom\tEastwood\tM\t1969\tmarried\t57 West Brazos Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t628-551-4983\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16564\tAbsolom\tEastwood\tM\t1946\t\t67 Palm Springs Avenue\t84937\tCottbus\t51342\tBrandenburg\t52563\t52776\t339-164-5672\tG: 130,000 - 149,999\t15000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20119\tAbsolom\tEastwood\tM\t1947\tsingle\t67 South Craven Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t575-488-4929\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23675\tAbsolom\tEastwood\tM\t1951\tmarried\t77 West Saint Clair Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t346-766-4988\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27230\tAbsolom\tEastwood\tM\t1970\t\t87 East Golden Gate Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t136-771-2972\tG: 130,000 - 149,999\t10000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30785\tAbsolom\tEastwood\tM\t1961\tsingle\t87 South Tooele Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t611-476-4693\tG: 130,000 - 149,999\t3000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34342\tAbsolom\tEastwood\tM\t1972\tmarried\t97 North Kendall Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t185-458-2862\tG: 130,000 - 149,999\t5000\tEastwood@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37008\tAbsolom\tRice\tM\t1977\tmarried\t107 East Brazos Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t335-476-9737\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40563\tAbsolom\tRice\tM\t1949\t\t107 South Palm Springs Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t602-458-2324\tG: 130,000 - 149,999\t15000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44118\tAbsolom\tRice\tM\t1950\tsingle\t117 North Craven Avenue\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t518-551-1389\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34381\tAbsolom\tRice\tM\t1965\tmarried\t17 North Kendall Court\t80149\tAtalissa\t51076\tIA\t52618\t52790\t416-551-8701\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47897\tAbsolom\tRice\tM\t1950\t\t27 West Accomack Boulevard\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t540-164-3035\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1453\tAbsolom\tRice\tM\t1971\tsingle\t37 Mclean Street\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t623-488-3664\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5008\tAbsolom\tRice\tM\t1953\tmarried\t37 South Brazos Street\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t536-766-4640\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8563\tAbsolom\tRice\tM\t1974\t\t47 West Palm Springs Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t499-771-7264\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12120\tAbsolom\tRice\tM\t1967\tsingle\t57 East Craven Drive\t34646\tGirona\t51582\tGirona\t52611\t52778\t398-476-8167\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15675\tAbsolom\tRice\tM\t1951\tmarried\t57 South Saint Clair Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t694-458-4453\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19230\tAbsolom\tRice\tM\t1958\t\t67 North Golden Gate Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t495-551-7006\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48825\tAbsolom\tRice\tM\t1947\tsingle\t7 South Tooele Circle\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t325-458-7884\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22785\tAbsolom\tRice\tM\t1985\tsingle\t77 East Tooele Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t237-164-6311\tG: 130,000 - 149,999\t3000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26341\tAbsolom\tRice\tM\t1976\tmarried\t87 Kendall Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t424-488-8777\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29897\tAbsolom\tRice\tM\t1964\t\t87 South Accomack Avenue\t78889\tOrlinda\t52038\tTN\t52744\t52790\t507-766-7978\tG: 130,000 - 149,999\t10000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33452\tAbsolom\tRice\tM\t1942\tsingle\t97 West Mclean Avenue\t54516\tPelham\t52106\tNY\t52679\t52790\t692-771-8220\tG: 130,000 - 149,999\t5000\tRice@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36119\tAbsolom\tSampson\tM\t1975\tsingle\t107 Craven Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t597-766-4448\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39674\tAbsolom\tSampson\tM\t1973\tmarried\t107 North Saint Clair Avenue\t76331\tManresa\t51898\tBarcelona\t52560\t52778\t582-771-5011\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43230\tAbsolom\tSampson\tM\t1943\t\t117 West Golden Gate Avenue\t38763\tHaiku-Pauwela\t51645\tHI\t52615\t52790\t420-476-9289\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25492\tAbsolom\tSampson\tM\t1946\tsingle\t17 West Mclean Court\t47351\tMinnetonka Beach\t51915\tMN\t52656\t52790\t227-476-8908\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47008\tAbsolom\tSampson\tM\t1948\tmarried\t27 East Brazos Boulevard\t56100\tJena\t51696\tThueringen\t52746\t52776\t474-458-5285\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50563\tAbsolom\tSampson\tM\t1943\t\t27 South Palm Springs Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t595-551-3814\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4119\tAbsolom\tSampson\tM\t1948\tsingle\t37 North Craven Street\t41377\tSaint-Malo\t52284\tBrittany\t52565\t52779\t168-164-8158\tG: 130,000 - 149,999\t5000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7675\tAbsolom\tSampson\tM\t1947\tmarried\t47 East Saint Clair Road\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t180-488-8044\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11230\tAbsolom\tSampson\tM\t1962\t\t57 Golden Gate Drive\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t659-766-3908\tG: 130,000 - 149,999\t10000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14786\tAbsolom\tSampson\tM\t1981\tsingle\t57 North Tooele Drive\t52893\tBamberg\t51162\tBayern\t52561\t52776\t386-771-7247\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18341\tAbsolom\tSampson\tM\t1944\tmarried\t67 West Kendall Avenue\t53924\tGardanne\t51572\tProvence-Alpes-Cote d'Azur\t52701\t52779\t516-476-1803\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34334\tAbsolom\tSampson\tM\t1941\t\t7 South Accomack Circle\t77501\tLowndesville\t51807\tSC\t52722\t52790\t153-771-9447\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21896\tAbsolom\tSampson\tM\t1968\t\t77 East Accomack Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t678-458-9756\tG: 130,000 - 149,999\t10000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25453\tAbsolom\tSampson\tM\t1984\tsingle\t77 South Mclean Avenue\t36933\tWest Wood\t52505\tKY\t52632\t52790\t128-551-7067\tG: 130,000 - 149,999\t3000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29008\tAbsolom\tSampson\tM\t1944\tmarried\t87 North Brazos Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t699-164-9597\tG: 130,000 - 149,999\t7000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32563\tAbsolom\tSampson\tM\t1949\t\t97 East Palm Springs Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t684-488-7488\tG: 130,000 - 149,999\t15000\tSampson@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38786\tAbsolom\tZiegler\tM\t1945\tsingle\t107 West Tooele Avenue\t75824\tRhineland\t52165\tMO\t52657\t52790\t533-488-9533\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42341\tAbsolom\tZiegler\tM\t1956\tmarried\t117 East Kendall Avenue\t46567\tUnion City\t52407\tIN\t52621\t52790\t224-766-7156\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16603\tAbsolom\tZiegler\tM\t1955\t\t17 East Palm Springs Court\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t213-766-8894\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46119\tAbsolom\tZiegler\tM\t1950\tsingle\t27 Craven Boulevard\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t485-771-2604\tG: 130,000 - 149,999\t3000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49674\tAbsolom\tZiegler\tM\t1947\tmarried\t27 North Saint Clair Boulevard\t47996\tOran\t52035\tMO\t52657\t52790\t193-476-4526\tG: 130,000 - 149,999\t7000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3231\tAbsolom\tZiegler\tM\t1952\t\t37 West Golden Gate Street\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t490-458-2778\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6786\tAbsolom\tZiegler\tM\t1948\tsingle\t47 Tooele Road\t48677\tDornstadt\t51393\tBaden-Wuerttemberg\t52559\t52776\t123-551-4512\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10341\tAbsolom\tZiegler\tM\t1982\tmarried\t47 South Kendall Road\t78088\tAlicante\t51051\tAlicante\t52544\t52778\t303-164-6423\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13897\tAbsolom\tZiegler\tM\t1957\t\t57 North Accomack Drive\t30782\tSouthaven\t52320\tMS\t52658\t52790\t562-488-8975\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17452\tAbsolom\tZiegler\tM\t1959\tsingle\t67 East Mclean Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t296-766-5681\tG: 130,000 - 149,999\t3000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21008\tAbsolom\tZiegler\tM\t1954\tmarried\t77 Brazos Avenue\t64531\tBloomingdale\t51199\tTN\t52744\t52790\t655-771-4882\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24564\tAbsolom\tZiegler\tM\t1960\t\t77 North Palm Springs Avenue\t69325\tGodwin\t51585\tNC\t52664\t52790\t482-476-1411\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28119\tAbsolom\tZiegler\tM\t1945\tsingle\t87 West Craven Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t197-458-1650\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31674\tAbsolom\tZiegler\tM\t1979\tmarried\t97 Saint Clair Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t447-551-5739\tG: 130,000 - 149,999\t5000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35230\tAbsolom\tZiegler\tM\t1980\t\t97 South Golden Gate Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t472-164-6664\tG: 130,000 - 149,999\t10000\tZiegler@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37009\tAda\tBaley\tF\t1925\tsingle\t107 East Breathitt Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t574-253-3009\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40564\tAda\tBaley\tF\t1974\tmarried\t107 South Palo Pinto Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t338-616-9212\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44119\tAda\tBaley\tF\t1975\t\t117 North Crawford Avenue\t51815\tCanaseraga\t51308\tNY\t52679\t52790\t687-254-5136\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34392\tAda\tBaley\tF\t1978\tsingle\t17 North Kennebec Court\t47876\tBordeaux\t51208\tAquitaine\t52548\t52779\t481-254-9281\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47898\tAda\tBaley\tF\t1947\tmarried\t27 West Adair Boulevard\t36830\tLocust Valley\t51803\tNY\t52679\t52790\t644-491-8694\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1454\tAda\tBaley\tF\t1950\t\t37 Mclennan Street\t69552\tKassel\t51719\tHessen\t52617\t52776\t189-389-4886\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5009\tAda\tBaley\tF\t1935\tsingle\t37 South Breathitt Street\t60994\tElba\t51447\tMN\t52656\t52790\t664-258-4233\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8564\tAda\tBaley\tF\t1937\tmarried\t47 West Palo Pinto Road\t61675\tVanleer\t52434\tTN\t52744\t52790\t431-644-5810\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12121\tAda\tBaley\tF\t1937\t\t57 East Crawford Drive\t70214\tKiel\t51727\tSchleswig-Holstein\t52736\t52776\t504-253-4941\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15676\tAda\tBaley\tF\t1933\tsingle\t57 South Saint Francis Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t350-616-5789\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19231\tAda\tBaley\tF\t1977\tmarried\t67 North Gonzales Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t324-254-2832\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48836\tAda\tBaley\tF\t1961\t\t7 South Toombs Circle\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t317-616-5302\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22786\tAda\tBaley\tF\t1952\t\t77 East Toombs Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t196-491-8334\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26342\tAda\tBaley\tF\t1954\tsingle\t87 Kennebec Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t695-389-4764\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29898\tAda\tBaley\tF\t1949\tmarried\t87 South Adair Avenue\t86189\tNorth Perry\t51993\tOH\t52688\t52790\t645-258-4192\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33453\tAda\tBaley\tF\t1955\t\t97 West Mclennan Avenue\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t609-644-2186\tB: 30,000 - 49,999\t1500\tBaley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38787\tAda\tKitchens\tF\t1959\t\t107 West Toombs Avenue\t56327\tStamford\t52324\tNE\t52666\t52790\t617-389-7760\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42342\tAda\tKitchens\tF\t1922\tsingle\t117 East Kennebec Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t390-258-5382\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16614\tAda\tKitchens\tF\t1968\tmarried\t17 East Palo Pinto Court\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t348-258-1892\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46120\tAda\tKitchens\tF\t1928\t\t27 Crawford Boulevard\t81319\tBarre\t51165\tMA\t52649\t52790\t561-644-9951\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49675\tAda\tKitchens\tF\t1942\tsingle\t27 North Saint Francis Boulevard\t47996\tOran\t52035\tMO\t52657\t52790\t583-253-2372\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3232\tAda\tKitchens\tF\t1960\tmarried\t37 West Gonzales Street\t73370\tLamar\t51785\tNE\t52666\t52790\t307-616-6193\tB: 30,000 - 49,999\t1500\tKitchens@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n29012\tAngela\tWiley\tF\t1947\tsingle\t87 North Brewster Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t447-263-4803\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32567\tAngela\tWiley\tF\t1949\tsingle\t97 East Parke Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t472-126-5005\tH: 150,000 - 169,999\t7000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38789\tAngie\tGrover\tF\t1964\tsingle\t107 West Traverse Avenue\t74222\tRosenheim\t52171\tBayern\t52561\t52776\t461-299-4145\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42344\tAngie\tGrover\tF\t1942\tmarried\t117 East Kent Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t642-277-5948\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16636\tAngie\tGrover\tF\t1965\t\t17 East Park Court\t81973\tGolden's Bridge\t51586\tNY\t52679\t52790\t480-277-6004\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46122\tAngie\tGrover\tF\t1981\tsingle\t27 Crockett Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t407-590-3647\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49677\tAngie\tGrover\tF\t1935\tmarried\t27 North Saint Louis Boulevard\t33065\tBlackduck\t51195\tMN\t52656\t52790\t242-546-7530\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3234\tAngie\tGrover\tF\t1943\t\t37 West Goshen Street\t73370\tLamar\t51785\tNE\t52666\t52790\t466-793-2624\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6789\tAngie\tGrover\tF\t1972\tsingle\t47 Traverse Road\t83805\tNorth Druid Hills\t51990\tGE\t52604\t52790\t347-694-7152\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10344\tAngie\tGrover\tF\t1970\tmarried\t47 South Kent Road\t89503\tBolivar\t51203\tTX\t52745\t52790\t349-455-5607\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13900\tAngie\tGrover\tF\t1934\t\t57 North Aguadilla Drive\t62706\tAntony\t51067\tIle-de-France\t52623\t52779\t571-299-9151\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17455\tAngie\tGrover\tF\t1944\tsingle\t67 East Meade Avenue\t91105\tForest Heights\t51511\tMD\t52652\t52790\t410-277-1257\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21011\tAngie\tGrover\tF\t1962\tmarried\t77 Brevard Avenue\t89000\tWadsworth\t52491\tNV\t52678\t52790\t388-590-2033\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24567\tAngie\tGrover\tF\t1947\t\t77 North Park Avenue\t87671\tCarrier\t51317\tOK\t52689\t52790\t686-546-6051\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28122\tAngie\tGrover\tF\t1968\tsingle\t87 West Crockett Avenue\t70669\tAneta\t51065\tND\t52665\t52790\t402-793-9946\tD: 70,000 - 89,999\t9000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31677\tAngie\tGrover\tF\t1950\tmarried\t97 Saint Louis Avenue\t44811\tThomasville\t52366\tAL\t52534\t52790\t421-694-1779\tD: 70,000 - 89,999\t1500\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35233\tAngie\tGrover\tF\t1971\t\t97 South Goshen Avenue\t69499\tMidland\t51913\tAR\t52540\t52790\t322-455-9798\tD: 70,000 - 89,999\t7000\tGrover@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37900\tAngie\tLauderdale\tF\t1959\t\t107 West Aguadilla Avenue\t62826\tRyder\t52178\tND\t52665\t52790\t417-694-9954\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41455\tAngie\tLauderdale\tF\t1978\tsingle\t117 Meade Avenue\t53500\tMagdeburg\t51892\tSachsen-Anhalt\t52732\t52776\t171-455-6090\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45010\tAngie\tLauderdale\tF\t1932\tmarried\t117 South Brevard Avenue\t67042\tCranford\t51345\tNJ\t52670\t52790\t456-299-9247\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7747\tAngie\tLauderdale\tF\t1951\tmarried\t17 Saint Louis Court\t37347\tStrasbourg\t52330\tAlsace\t52546\t52779\t423-455-4908\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43302\tAngie\tLauderdale\tF\t1957\t\t17 South Goshen Court\t79239\tTimken\t52370\tKS\t52630\t52790\t248-299-1494\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48789\tAngie\tLauderdale\tF\t1933\tsingle\t27 West Traverse Boulevard\t31813\tAline\t51052\tOK\t52689\t52790\t261-277-2405\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2345\tAngie\tLauderdale\tF\t1976\tmarried\t37 East Kent Street\t30985\tChemnitz\t51323\tSachsen\t52731\t52776\t512-590-3021\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5900\tAngie\tLauderdale\tF\t1977\t\t47 Aguadilla Road\t80202\tBirchwood\t51191\tTN\t52744\t52790\t370-546-6439\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9455\tAngie\tLauderdale\tF\t1936\tsingle\t47 North Meade Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t130-793-1868\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13011\tAngie\tLauderdale\tF\t1953\tmarried\t57 West Brevard Drive\t40696\tAtwood\t51079\tKS\t52630\t52790\t688-694-7316\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16567\tAngie\tLauderdale\tF\t1929\t\t67 Park Avenue\t79032\tMolsheim\t51918\tAlsace\t52546\t52779\t464-455-2733\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20122\tAngie\tLauderdale\tF\t1943\tsingle\t67 South Crockett Avenue\t84136\tGarenne-Colombes La\t51573\tIle-de-France\t52623\t52779\t256-299-9474\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23678\tAngie\tLauderdale\tF\t1945\tmarried\t77 West Saint Louis Avenue\t89153\tCelle\t51320\tNiedersachsen\t52681\t52776\t329-277-1018\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27233\tAngie\tLauderdale\tF\t1931\t\t87 East Goshen Avenue\t82464\tBad Toelz\t51157\tBayern\t52561\t52776\t615-590-9420\tD: 70,000 - 89,999\t7000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30788\tAngie\tLauderdale\tF\t1936\tsingle\t87 South Traverse Avenue\t49913\tDresden\t51397\tSachsen\t52731\t52776\t207-546-5919\tD: 70,000 - 89,999\t9000\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34345\tAngie\tLauderdale\tF\t1935\tmarried\t97 North Kent Avenue\t75474\tUnion Springs\t52408\tNY\t52679\t52790\t618-793-1440\tD: 70,000 - 89,999\t1500\tLauderdale@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37011\tAngie\tPlayer\tF\t1979\tmarried\t107 East Brevard Avenue\t85738\tNew Castle\t51978\tIN\t52621\t52790\t631-546-9847\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40566\tAngie\tPlayer\tF\t1954\t\t107 South Park Avenue\t81853\tMandelieu la Napoule\t51897\tProvence-Alpes-Cote d'Azur\t52701\t52779\t376-793-4258\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44121\tAngie\tPlayer\tF\t1956\tsingle\t117 North Crockett Avenue\t87454\tMyrtle Grove\t51935\tNC\t52664\t52790\t202-694-6477\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34414\tAngie\tPlayer\tF\t1948\tmarried\t17 North Kent Court\t43866\tPerry\t52107\tIL\t52619\t52790\t246-694-7697\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47900\tAngie\tPlayer\tF\t1967\t\t27 West Aguadilla Boulevard\t43780\tMorris\t51923\tMN\t52656\t52790\t590-455-8532\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1456\tAngie\tPlayer\tF\t1958\tsingle\t37 Meade Street\t84381\tOffenbach\t52031\tHessen\t52617\t52776\t310-299-8174\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5011\tAngie\tPlayer\tF\t1969\tmarried\t37 South Brevard Street\t60994\tElba\t51447\tMN\t52656\t52790\t169-277-4732\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8566\tAngie\tPlayer\tF\t1963\t\t47 West Park Road\t88021\tSully\t52333\tIA\t52618\t52790\t656-590-4200\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12123\tAngie\tPlayer\tF\t1980\tsingle\t57 East Crockett Drive\t86539\tPlains\t52111\tMT\t52659\t52790\t271-546-1479\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n15678\tAngie\tPlayer\tF\t1949\tmarried\t57 South Saint Louis Drive\t56047\tAccomac\t51044\tVA\t52751\t52790\t257-793-9512\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19233\tAngie\tPlayer\tF\t1952\t\t67 North Goshen Avenue\t40926\tCork\t51340\tCork\t52575\t52772\t352-694-3155\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48858\tAngie\tPlayer\tF\t1938\tsingle\t7 South Traverse Circle\t68975\tBuckley\t51222\tWA\t52757\t52790\t544-793-6421\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22788\tAngie\tPlayer\tF\t1941\tsingle\t77 East Traverse Avenue\t30568\tAachen\t51040\tNordrhein-Westfalen\t52684\t52776\t182-455-7226\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26344\tAngie\tPlayer\tF\t1941\tmarried\t87 Kent Avenue\t58748\tBlaubeuren\t51198\tBaden-Wuerttemberg\t52559\t52776\t377-299-4794\tD: 70,000 - 89,999\t1500\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n29900\tAngie\tPlayer\tF\t1943\t\t87 South Aguadilla Avenue\t75354\tCourchevel\t51343\tRhtne-Alpes\t52711\t52779\t301-277-4143\tD: 70,000 - 89,999\t7000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33455\tAngie\tPlayer\tF\t1939\tsingle\t97 West Meade Avenue\t67723\tFrankfurt am Main\t51517\tHessen\t52617\t52776\t277-590-1685\tD: 70,000 - 89,999\t9000\tPlayer@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36122\tAngie\tRiffken\tF\t1960\tsingle\t107 Crockett Avenue\t38517\tSelmer\t52304\tTN\t52744\t52790\t287-277-3490\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39677\tAngie\tRiffken\tF\t1966\tmarried\t107 North Saint Louis Avenue\t64639\tNice\t51982\tProvence-Alpes-Cote d'Azur\t52701\t52779\t661-590-4506\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43233\tAngie\tRiffken\tF\t1934\t\t117 West Goshen Avenue\t48151\tLevallois-Perret\t51794\tIle-de-France\t52623\t52779\t460-546-2819\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25525\tAngie\tRiffken\tF\t1982\tsingle\t17 West Meade Court\t34998\tCayuga\t51319\tND\t52665\t52790\t369-546-5347\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47011\tAngie\tRiffken\tF\t1973\tmarried\t27 East Brevard Boulevard\t88512\tBlackrock\t51196\tDublin\t52580\t52772\t125-793-2550\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50566\tAngie\tRiffken\tF\t1961\t\t27 South Park Boulevard\t74050\tGlennie\t51584\tMI\t52654\t52790\t284-694-1364\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4122\tAngie\tRiffken\tF\t1930\tsingle\t37 North Crockett Street\t85388\tArtas\t51072\tSD\t52725\t52790\t323-455-4465\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7678\tAngie\tRiffken\tF\t1974\tmarried\t47 East Saint Louis Road\t35348\tFoxborough\t51516\tMA\t52649\t52790\t190-299-1668\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11233\tAngie\tRiffken\tF\t1940\t\t57 Goshen Drive\t45450\tBourg-la-Reine\t51209\tIle-de-France\t52623\t52779\t221-277-9093\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14789\tAngie\tRiffken\tF\t1944\tsingle\t57 North Traverse Drive\t44010\tHannover\t51649\tNiedersachsen\t52681\t52776\t674-590-2057\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18344\tAngie\tRiffken\tF\t1937\tmarried\t67 West Kent Avenue\t65267\tMontreal\t51921\tMO\t52657\t52790\t356-546-9219\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n47668\tAngie\tRiffken\tF\t1955\t\t7 South Aguadilla Circle\t82323\tSpringhill\t52321\tMN\t52656\t52790\t538-590-1545\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21899\tAngie\tRiffken\tF\t1975\t\t77 East Aguadilla Avenue\t65109\tForest City\t51510\tMO\t52657\t52790\t152-793-5767\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25456\tAngie\tRiffken\tF\t1946\tsingle\t77 South Meade Avenue\t77637\tBlagnac\t51197\tMidi-Pyrenees\t52663\t52779\t312-694-1735\tD: 70,000 - 89,999\t9000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29011\tAngie\tRiffken\tF\t1945\tmarried\t87 North Brevard Avenue\t90755\tTioga\t52371\tND\t52665\t52790\t311-455-5420\tD: 70,000 - 89,999\t1500\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32566\tAngie\tRiffken\tF\t1942\t\t97 East Park Avenue\t37087\tBuffalo\t51224\tNY\t52679\t52790\t200-299-9586\tD: 70,000 - 89,999\t7000\tRiffken@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37904\tAnne\tAtkins\tF\t1955\tsingle\t107 West Airway Avenue\t82774\tKent\t51724\tCT\t52572\t52790\t620-776-5156\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41459\tAnne\tAtkins\tF\t1954\tsingle\t117 Meigs Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t415-666-4546\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45014\tAnne\tAtkins\tF\t1952\tsingle\t117 South Bronx Avenue\t32420\tParis\t52103\tIle-de-France\t52623\t52779\t372-116-3411\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7781\tAnne\tAtkins\tF\t1967\tsingle\t17 Saline Court\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t454-666-9770\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43336\tAnne\tAtkins\tF\t1952\tsingle\t17 South Grafton Court\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t526-116-4997\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48793\tAnne\tAtkins\tF\t1973\tsingle\t27 West Trinity Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t155-173-7405\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2349\tAnne\tAtkins\tF\t1955\tsingle\t37 East Ketchikan Gateway Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t230-327-2058\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5904\tAnne\tAtkins\tF\t1976\tsingle\t47 Airway Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t630-146-4392\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9459\tAnne\tAtkins\tF\t1969\tsingle\t47 North Meigs Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t361-216-2108\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13015\tAnne\tAtkins\tF\t1957\tsingle\t57 West Bronx Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t229-776-2923\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16571\tAnne\tAtkins\tF\t1960\tsingle\t67 Pasco Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t166-666-7547\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20126\tAnne\tAtkins\tF\t1987\tsingle\t67 South Cupertino Avenue\t77188\tMuenchen\t51928\tBayern\t52561\t52776\t650-116-2594\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23682\tAnne\tAtkins\tF\t1978\tsingle\t77 West Saline Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t629-173-5035\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34448\tAnne\tRudder\tF\t1950\tsingle\t17 North Ketchikan Gateway Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t563-776-7003\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47904\tAnne\tRudder\tF\t1951\tsingle\t27 West Airway Boulevard\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t399-666-1576\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1460\tAnne\tRudder\tF\t1956\tsingle\t37 Meigs Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t681-116-4716\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5015\tAnne\tRudder\tF\t1955\tsingle\t37 South Bronx Street\t45704\tMackville\t51890\tKY\t52632\t52790\t556-173-7009\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8570\tAnne\tRudder\tF\t1964\tsingle\t47 West Pasco Road\t70577\tPaterna\t52105\tValencia\t52755\t52778\t444-327-1165\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12127\tAnne\tRudder\tF\t1983\tsingle\t57 East Cupertino Drive\t57579\tDingle\t51389\tKerry\t52637\t52772\t276-146-6638\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15682\tAnne\tRudder\tF\t1952\tsingle\t57 South Saline Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t119-216-4441\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19237\tAnne\tRudder\tF\t1970\tsingle\t67 North Grafton Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t498-776-5411\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48892\tAnne\tRudder\tF\t1948\tsingle\t7 South Trinity Circle\t52602\tBlountstown\t51200\tFL\t52595\t52790\t411-216-3270\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22792\tAnne\tRudder\tF\t1986\tsingle\t77 East Trinity Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t636-666-2353\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26348\tAnne\tRudder\tF\t1950\tsingle\t87 Ketchikan Gateway Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t569-116-4229\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29904\tAnne\tRudder\tF\t1953\tsingle\t87 South Airway Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t537-173-3398\tI: 170,000 - 189,999\t10000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33459\tAnne\tRudder\tF\t1977\tsingle\t97 West Meigs Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t173-327-6117\tI: 170,000 - 189,999\t3000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37905\tAnnie\tBarr\tF\t1975\tmarried\t107 West Aitkin Avenue\t49478\tBedford\t51173\tIA\t52618\t52790\t376-257-1533\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41460\tAnnie\tBarr\tF\t1976\t\t117 Mellette Avenue\t58591\tRelecq-Kerhuon\t52162\tBrittany\t52565\t52779\t202-610-1710\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45015\tAnnie\tBarr\tF\t1933\t\t117 South Brookings Avenue\t75824\tRhineland\t52165\tMO\t52657\t52790\t313-528-4254\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7792\tAnnie\tBarr\tF\t1979\t\t17 Salt Lake Court\t80491\tVidalia\t52441\tLA\t52641\t52790\t246-610-1779\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n43347\tAnnie\tBarr\tF\t1948\tmarried\t17 South Grand Canyon Court\t50438\tGerald\t51580\tMO\t52657\t52790\t590-528-9798\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48794\tAnnie\tBarr\tF\t1951\t\t27 West Trujillo Alto Boulevard\t64308\tNorth Utica\t51994\tIL\t52619\t52790\t310-287-4145\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2350\tAnnie\tBarr\tF\t1938\t\t37 East King Street\t57008\tBerlin\t51183\tBerlin\t52562\t52776\t169-399-5948\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5905\tAnnie\tBarr\tF\t1939\tmarried\t47 Aitkin Road\t47996\tOran\t52035\tMO\t52657\t52790\t656-594-4806\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n9460\tAnnie\tBarr\tF\t1940\t\t47 North Mellette Road\t64150\tBerchtesgaden\t51179\tBayern\t52561\t52776\t271-176-8356\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13016\tAnnie\tBarr\tF\t1936\t\t57 West Brookings Drive\t48677\tDornstadt\t51393\tBaden-Wuerttemberg\t52559\t52776\t257-257-6397\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16572\tAnnie\tBarr\tF\t1978\tmarried\t67 Passaic Avenue\t78088\tAlicante\t51051\tAlicante\t52544\t52778\t352-610-5449\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20127\tAnnie\tBarr\tF\t1953\t\t67 South Currituck Avenue\t30782\tSouthaven\t52320\tMS\t52658\t52790\t182-528-9987\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23683\tAnnie\tBarr\tF\t1955\t\t77 West Salt Lake Avenue\t54249\tBelmont, MI\t51177\tMI\t52654\t52790\t377-287-2536\tC: 50,000 - 69,999\t9000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27238\tAnnie\tBarr\tF\t1950\tmarried\t87 East Grand Canyon Avenue\t64531\tBloomingdale\t51199\tTN\t52744\t52790\t301-399-8404\tC: 50,000 - 69,999\t1500\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30793\tAnnie\tBarr\tF\t1956\t\t87 South Trujillo Alto Avenue\t69325\tGodwin\t51585\tNC\t52664\t52790\t277-594-7132\tC: 50,000 - 69,999\t7000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34350\tAnnie\tBarr\tF\t1929\t\t97 North King Avenue\t63507\tErding\t51454\tBayern\t52561\t52776\t631-176-2409\tC: 50,000 - 69,999\t11000\tBarr@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36127\tAnnie\tGilmour\tF\t1960\t\t107 Currituck Avenue\t78889\tOrlinda\t52038\tTN\t52744\t52790\t461-287-2833\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39682\tAnnie\tGilmour\tF\t1926\t\t107 North Salt Lake Avenue\t54516\tPelham\t52106\tNY\t52679\t52790\t642-399-6640\tC: 50,000 - 69,999\t11000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43238\tAnnie\tGilmour\tF\t1973\tmarried\t117 West Grand Canyon Avenue\t66922\tIssy-les-Moulineaux\t51682\tIle-de-France\t52623\t52779\t134-594-7439\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25570\tAnnie\tGilmour\tF\t1931\t\t17 West Mellette Court\t65320\tPuako\t52113\tHI\t52615\t52790\t407-594-1685\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47016\tAnnie\tGilmour\tF\t1943\t\t27 East Brookings Boulevard\t73191\tSugarloaf Key\t52332\tFL\t52595\t52790\t242-176-9847\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50571\tAnnie\tGilmour\tF\t1961\tmarried\t27 South Passaic Boulevard\t80149\tAtalissa\t51076\tIA\t52618\t52790\t466-257-4258\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4127\tAnnie\tGilmour\tF\t1946\t\t37 North Currituck Street\t36632\tNavy Yard City\t51974\tWA\t52757\t52790\t347-610-6477\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7683\tAnnie\tGilmour\tF\t1967\t\t47 East Salt Lake Road\t33269\tBad Kreuznach\t51154\tRheinland-Pfalz\t52710\t52776\t349-528-4632\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11238\tAnnie\tGilmour\tF\t1949\tmarried\t57 Grand Canyon Drive\t49268\tMosquitolake\t51924\tAK\t52533\t52790\t571-287-7791\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14794\tAnnie\tGilmour\tF\t1970\t\t57 North Trujillo Alto Drive\t61675\tVanleer\t52434\tTN\t52744\t52790\t410-399-4470\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18349\tAnnie\tGilmour\tF\t1963\t\t67 West King Avenue\t34646\tGirona\t51582\tGirona\t52611\t52778\t388-594-9739\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2113\tAnnie\tGilmour\tF\t1969\tmarried\t7 South Aitkin Circle\t53694\tFisher\t51503\tIL\t52619\t52790\t480-399-4143\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21904\tAnnie\tGilmour\tF\t1939\tmarried\t77 East Aitkin Avenue\t56047\tAccomac\t51044\tVA\t52751\t52790\t686-176-7504\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25461\tAnnie\tGilmour\tF\t1954\t\t77 South Mellette Avenue\t61449\tUlm\t52406\tBaden-Wuerttemberg\t52559\t52776\t402-257-6424\tC: 50,000 - 69,999\t7000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29016\tAnnie\tGilmour\tF\t1981\t\t87 North Brookings Avenue\t35679\tCoburg\t51335\tBayern\t52561\t52776\t421-610-1243\tC: 50,000 - 69,999\t9000\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32571\tAnnie\tGilmour\tF\t1972\tmarried\t97 East Passaic Avenue\t65681\tNantes\t51973\tPays de la Loire\t52699\t52779\t322-528-3161\tC: 50,000 - 69,999\t1500\tGilmour@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37016\tAnnie\tKotzman\tF\t1957\t\t107 East Brookings Avenue\t46744\tWeissport\t52501\tPA\t52693\t52790\t661-594-5419\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40571\tAnnie\tKotzman\tF\t1968\tmarried\t107 South Passaic Avenue\t46063\tLong Meadow\t51805\tMD\t52652\t52790\t460-176-3109\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44126\tAnnie\tKotzman\tF\t1962\t\t117 North Currituck Avenue\t40453\tNorth Carrollton\t51989\tMS\t52658\t52790\t467-257-6258\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34459\tAnnie\tKotzman\tF\t1942\t\t17 North King Court\t34197\tSkagway\t52314\tAK\t52533\t52790\t125-257-1440\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47905\tAnnie\tKotzman\tF\t1934\tmarried\t27 West Aitkin Boulevard\t51761\tBay City\t51170\tWI\t52760\t52790\t284-610-9954\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1461\tAnnie\tKotzman\tF\t1974\t\t37 Mellette Street\t30211\tLyon\t51814\tRhtne-Alpes\t52711\t52779\t323-528-6090\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5016\tAnnie\tKotzman\tF\t1945\t\t37 South Brookings Street\t90953\tHolyrood\t51667\tKS\t52630\t52790\t190-287-9247\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8571\tAnnie\tKotzman\tF\t1943\tmarried\t47 West Passaic Road\t37281\tDanville\t51379\tMO\t52657\t52790\t221-399-2150\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12128\tAnnie\tKotzman\tF\t1940\t\t57 East Currituck Drive\t74673\tDuncan\t51402\tSC\t52722\t52790\t674-594-8518\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15683\tAnnie\tKotzman\tF\t1959\t\t57 South Salt Lake Drive\t34547\tHatfield\t51652\tWI\t52760\t52790\t356-176-4059\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19238\tAnnie\tKotzman\tF\t1965\tmarried\t67 North Grand Canyon Avenue\t40696\tAtwood\t51079\tKS\t52630\t52790\t152-257-8103\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48903\tAnnie\tKotzman\tF\t1937\t\t7 South Trujillo Alto Circle\t68766\tRevel\t52164\tMidi-Pyrenees\t52663\t52779\t369-176-5919\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22793\tAnnie\tKotzman\tF\t1930\t\t77 East Trujillo Alto Avenue\t84937\tCottbus\t51342\tBrandenburg\t52563\t52776\t312-610-5250\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26349\tAnnie\tKotzman\tF\t1935\t\t87 King Avenue\t85551\tGoodhope\t51587\tIL\t52619\t52790\t311-528-1195\tC: 50,000 - 69,999\t9000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29905\tAnnie\tKotzman\tF\t1947\tmarried\t87 South Aitkin Avenue\t31685\tSyracuse\t52336\tNE\t52666\t52790\t200-287-5685\tC: 50,000 - 69,999\t1500\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33460\tAnnie\tKotzman\tF\t1966\t\t97 West Mellette Avenue\t39444\tAalborg\t51041\tNorth Jutland\t52685\t52777\t287-399-2747\tC: 50,000 - 69,999\t7000\tKotzman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38794\tAnnie\tLanston\tF\t1941\t\t107 West Trujillo Alto Avenue\t69656\tSaarbruecken\t52277\tSaarland\t52730\t52776\t171-528-9168\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42349\tAnnie\tLanston\tF\t1971\t\t117 East King Avenue\t90497\tAix-les-Bains\t51047\tRhtne-Alpes\t52711\t52779\t456-287-6271\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16681\tAnnie\tLanston\tF\t1952\tmarried\t17 East Passaic Court\t83004\tMineral\t51914\tVA\t52751\t52790\t248-287-9586\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46127\tAnnie\tLanston\tF\t1925\t\t27 Currituck Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t261-399-3490\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49682\tAnnie\tLanston\tF\t1942\t\t27 North Salt Lake Boulevard\t47351\tMinnetonka Beach\t51915\tMN\t52656\t52790\t512-594-4506\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3239\tAnnie\tLanston\tF\t1944\tmarried\t37 West Grand Canyon Street\t56100\tJena\t51696\tThueringen\t52746\t52776\t370-176-2819\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6794\tAnnie\tLanston\tF\t1927\t\t47 Trujillo Alto Road\t74050\tGlennie\t51584\tMI\t52654\t52790\t130-257-2271\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10349\tAnnie\tLanston\tF\t1932\t\t47 South King Road\t41377\tSaint-Malo\t52284\tBrittany\t52565\t52779\t688-610-2812\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13905\tAnnie\tLanston\tF\t1931\tmarried\t57 North Aitkin Drive\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t464-528-6069\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n17460\tAnnie\tLanston\tF\t1958\t\t67 East Mellette Avenue\t39634\tHillcrest Heights\t51661\tMD\t52652\t52790\t256-287-9588\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21016\tAnnie\tLanston\tF\t1977\t\t77 Brookings Avenue\t52893\tBamberg\t51162\tBayern\t52561\t52776\t329-399-2422\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24572\tAnnie\tLanston\tF\t1928\tmarried\t77 North Passaic Avenue\t53924\tGardanne\t51572\tProvence-Alpes-Cote d'Azur\t52701\t52779\t615-594-3597\tC: 50,000 - 69,999\t3000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28127\tAnnie\tLanston\tF\t1964\t\t87 West Currituck Avenue\t54495\tShoreview\t52311\tMN\t52656\t52790\t207-176-3860\tC: 50,000 - 69,999\t7000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31682\tAnnie\tLanston\tF\t1980\t\t97 Salt Lake Avenue\t36933\tWest Wood\t52505\tKY\t52632\t52790\t618-257-4097\tC: 50,000 - 69,999\t9000\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35238\tAnnie\tLanston\tF\t1932\tmarried\t97 South Grand Canyon Avenue\t30331\tForestville\t51512\tOH\t52688\t52790\t417-610-7909\tC: 50,000 - 69,999\t1500\tLanston@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38795\tAntony\tChinn\tM\t1950\tmarried\t107 West Trumbull Avenue\t53123\tAlphen aan den Rijn\t51059\tZuid-Holland\t52771\t52770\t518-450-4831\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42350\tAntony\tChinn\tM\t1969\t\t117 East King And Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t542-533-9658\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27237\tAnne\tAtkins\tF\t1966\tsingle\t87 East Grafton Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t513-327-5674\tI: 170,000 - 189,999\t10000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30792\tAnne\tAtkins\tF\t1950\tsingle\t87 South Trinity Avenue\t79421\tMontpellier\t51920\tLanguedoc-Roussillon\t52645\t52779\t258-146-1238\tI: 170,000 - 189,999\t3000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34349\tAnne\tAtkins\tF\t1979\tsingle\t97 North Ketchikan Gateway Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t167-216-5190\tI: 170,000 - 189,999\t5000\tAtkins@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38793\tAnne\tAubrey\tF\t1985\tsingle\t107 West Trinity Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t527-116-2520\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42348\tAnne\tAubrey\tF\t1954\tsingle\t117 East Ketchikan Gateway Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t566-173-6071\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16670\tAnne\tAubrey\tF\t1980\tsingle\t17 East Pasco Court\t91556\tLeeds\t51790\tEngland - West Yorkshire\t52594\t52789\t379-173-7714\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46126\tAnne\tAubrey\tF\t1951\tsingle\t27 Cupertino Boulevard\t58488\tDolores\t51391\tCO\t52569\t52790\t652-327-8362\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49681\tAnne\tAubrey\tF\t1955\tsingle\t27 North Saline Boulevard\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t304-146-7122\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3238\tAnne\tAubrey\tF\t1952\tsingle\t37 West Grafton Street\t55787\tMontara\t51919\tCA\t52567\t52790\t459-216-1459\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6793\tAnne\tAubrey\tF\t1965\tsingle\t47 Trinity Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t252-776-2443\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10348\tAnne\tAubrey\tF\t1971\tsingle\t47 South Ketchikan Gateway Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t254-666-1347\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13904\tAnne\tAubrey\tF\t1954\tsingle\t57 North Airway Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t157-116-1905\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17459\tAnne\tAubrey\tF\t1953\tsingle\t67 East Meigs Avenue\t51430\tIngolstadt\t51680\tBayern\t52561\t52776\t285-173-6908\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21015\tAnne\tAubrey\tF\t1953\tsingle\t77 Bronx Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t184-327-4071\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24571\tAnne\tAubrey\tF\t1972\tsingle\t77 North Pasco Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t355-146-8389\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28126\tAnne\tAubrey\tF\t1963\tsingle\t87 West Cupertino Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t104-216-4995\tI: 170,000 - 189,999\t3000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31681\tAnne\tAubrey\tF\t1974\tsingle\t97 Saline Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t572-776-3839\tI: 170,000 - 189,999\t5000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35237\tAnne\tAubrey\tF\t1968\tsingle\t97 South Grafton Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t159-666-5175\tI: 170,000 - 189,999\t10000\tAubrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36126\tAnne\tKoch\tF\t1951\tsingle\t107 Cupertino Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t651-173-3333\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39681\tAnne\tKoch\tF\t1958\tsingle\t107 North Saline Avenue\t52912\tWalsall\t52495\tEngland - West Midlands\t52593\t52789\t290-327-9718\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43237\tAnne\tKoch\tF\t1949\tsingle\t117 West Grafton Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t205-146-9452\tI: 170,000 - 189,999\t15000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25559\tAnne\tKoch\tF\t1956\tsingle\t17 West Meigs Court\t73216\tFrederick\t51519\tCO\t52569\t52790\t576-146-9777\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47015\tAnne\tKoch\tF\t1951\tsingle\t27 East Bronx Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t660-216-1549\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50570\tAnne\tKoch\tF\t1958\tsingle\t27 South Pasco Boulevard\t54845\tHaswell\t51651\tCO\t52569\t52790\t340-776-5376\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4126\tAnne\tKoch\tF\t1954\tsingle\t37 North Cupertino Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t477-666-2195\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7682\tAnne\tKoch\tF\t1984\tsingle\t47 East Saline Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t613-116-3974\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11237\tAnne\tKoch\tF\t1959\tsingle\t57 Grafton Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t110-173-2246\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14793\tAnne\tKoch\tF\t1961\tsingle\t57 North Trinity Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t143-327-9451\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18348\tAnne\tKoch\tF\t1956\tsingle\t67 West Ketchikan Gateway Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t511-146-8536\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2\tAnne\tKoch\tF\t1957\t\t7 South Airway Circle\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t680-327-1419\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n21903\tAnne\tKoch\tF\t1962\tsingle\t77 East Airway Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t663-216-3857\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25460\tAnne\tKoch\tF\t1953\tsingle\t77 South Meigs Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t552-776-3678\tI: 170,000 - 189,999\t3000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29015\tAnne\tKoch\tF\t1981\tsingle\t87 North Bronx Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t112-666-7795\tI: 170,000 - 189,999\t5000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32570\tAnne\tKoch\tF\t1982\tsingle\t97 East Pasco Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t606-116-4351\tI: 170,000 - 189,999\t10000\tKoch@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37015\tAnne\tRudder\tF\t1975\tsingle\t107 East Bronx Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t319-146-7820\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40570\tAnne\tRudder\tF\t1949\tsingle\t107 South Pasco Avenue\t79359\tLindau\t51798\tBayern\t52561\t52776\t685-216-8827\tI: 170,000 - 189,999\t15000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44125\tAnne\tRudder\tF\t1949\tsingle\t117 North Cupertino Avenue\t36149\tBeziers\t51187\tLanguedoc-Roussillon\t52645\t52779\t382-776-7190\tI: 170,000 - 189,999\t5000\tRudder@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42346\tAnand\tRowley\tM\t1951\tsingle\t117 East Kershaw Avenue\t47545\tSmyrna\t52317\tNY\t52679\t52790\t174-530-7891\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16658\tAnand\tRowley\tM\t1952\tsingle\t17 East Park Presido Court\t58260\tLewisburg\t51795\tOH\t52688\t52790\t101-530-1946\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n46124\tAnand\tRowley\tM\t1951\tsingle\t27 Cumberland Boulevard\t77501\tLowndesville\t51807\tSC\t52722\t52790\t677-712-5624\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49679\tAnand\tRowley\tM\t1963\tsingle\t27 North Salinas Boulevard\t70457\tNorman\t51986\tOK\t52689\t52790\t265-523-1329\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3236\tAnand\tRowley\tM\t1982\tsingle\t37 West Grady Street\t50509\tReichelsheim\t52161\tHessen\t52617\t52776\t170-755-3828\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6791\tAnand\tRowley\tM\t1948\tsingle\t47 Trigg Road\t68524\tGlasco\t51583\tKS\t52630\t52790\t332-229-6882\tH: 150,000 - 169,999\t3000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10346\tAnand\tRowley\tM\t1969\tsingle\t47 South Kershaw Road\t44461\tMarshal\t51902\tTX\t52745\t52790\t551-172-8850\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13902\tAnand\tRowley\tM\t1985\tsingle\t57 North Aiken Drive\t50799\tMainz\t51893\tRheinland-Pfalz\t52710\t52776\t187-291-7775\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17457\tAnand\tRowley\tM\t1947\tsingle\t67 East Medina Avenue\t87220\tTuebingen\t52382\tBaden-Wuerttemberg\t52559\t52776\t446-530-1275\tH: 150,000 - 169,999\t3000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21013\tAnand\tRowley\tM\t1951\tsingle\t77 Britnay Avenue\t36598\tBaltimore\t51161\tCork\t52575\t52772\t122-712-6077\tH: 150,000 - 169,999\t7000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24569\tAnand\tRowley\tM\t1976\tsingle\t77 North Park Presido Avenue\t84884\tIngelheim\t51679\tRheinland-Pfalz\t52710\t52776\t383-523-3757\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28124\tAnand\tRowley\tM\t1974\tsingle\t87 West Cumberland Avenue\t70669\tAneta\t51065\tND\t52665\t52790\t400-755-9677\tH: 150,000 - 169,999\t1500\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31679\tAnand\tRowley\tM\t1946\tsingle\t97 Salinas Avenue\t47283\tOpp\t52034\tAL\t52534\t52790\t608-229-2184\tH: 150,000 - 169,999\t9000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35235\tAnand\tRowley\tM\t1948\tsingle\t97 South Grady Avenue\t69499\tMidland\t51913\tAR\t52540\t52790\t668-172-8039\tH: 150,000 - 169,999\t11000\tRowley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37901\tAngela\tEppling\tF\t1953\tsingle\t107 West Aibonito Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t602-350-6834\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41456\tAngela\tEppling\tF\t1950\tsingle\t117 Meagher Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t518-263-2640\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45011\tAngela\tEppling\tF\t1964\tsingle\t117 South Brewster Avenue\t69138\tRaamsdonksveer\t52157\tNoord-Brabant\t52682\t52770\t542-126-9221\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7758\tAngela\tEppling\tF\t1968\tsingle\t17 Sainte Genevieve Court\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t416-263-5739\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43313\tAngela\tEppling\tF\t1954\tsingle\t17 South Governer Court\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t540-126-6664\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48790\tAngela\tEppling\tF\t1959\tsingle\t27 West Trego Boulevard\t45704\tMackville\t51890\tKY\t52632\t52790\t623-597-9533\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2346\tAngela\tEppling\tF\t1986\tsingle\t37 East Kenton Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t536-595-7156\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5901\tAngela\tEppling\tF\t1977\tsingle\t47 Aibonito Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t499-427-8100\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9456\tAngela\tEppling\tF\t1965\tsingle\t47 North Meagher Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t398-728-6293\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13012\tAngela\tEppling\tF\t1946\tsingle\t57 West Brewster Drive\t63736\tKillarney\t51728\tKerry\t52637\t52772\t694-350-9238\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16568\tAngela\tEppling\tF\t1978\tsingle\t67 Parke Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t495-263-2679\tH: 150,000 - 169,999\t5000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20123\tAngela\tEppling\tF\t1952\tsingle\t67 South Cross Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t237-126-2708\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23679\tAngela\tEppling\tF\t1952\tsingle\t77 West Sainte Genevieve Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t424-597-4407\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27234\tAngela\tEppling\tF\t1949\tsingle\t87 East Governer Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t507-595-2494\tH: 150,000 - 169,999\t7000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30789\tAngela\tEppling\tF\t1979\tsingle\t87 South Trego Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t692-427-5298\tH: 150,000 - 169,999\t10000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34346\tAngela\tEppling\tF\t1950\tsingle\t97 North Kenton Avenue\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t335-728-6450\tH: 150,000 - 169,999\t3000\tEppling@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37012\tAngela\tGentile\tF\t1972\tsingle\t107 East Brewster Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t582-427-9375\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40567\tAngela\tGentile\tF\t1954\tsingle\t107 South Parke Avenue\t48346\tNoma\t51985\tFL\t52595\t52790\t420-728-7240\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44122\tAngela\tGentile\tF\t1975\tsingle\t117 North Cross Avenue\t71750\tSalthill\t52287\tGalway\t52608\t52772\t306-350-6239\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34425\tAngela\tGentile\tF\t1982\tsingle\t17 North Kenton Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t474-350-2862\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47901\tAngela\tGentile\tF\t1948\tsingle\t27 West Aibonito Boulevard\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t595-263-7870\tH: 150,000 - 169,999\t7000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1457\tAngela\tGentile\tF\t1969\tsingle\t37 Meagher Street\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t168-126-5710\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5012\tAngela\tGentile\tF\t1985\tsingle\t37 South Brewster Street\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t180-597-3559\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n8567\tAngela\tGentile\tF\t1947\tsingle\t47 West Parke Road\t75917\tMolino\t51917\tFL\t52595\t52790\t659-595-5157\tH: 150,000 - 169,999\t7000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n12124\tAngela\tGentile\tF\t1951\tsingle\t57 East Cross Drive\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t386-427-2157\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15679\tAngela\tGentile\tF\t1976\tsingle\t57 South Sainte Genevieve Drive\t67843\tArbuckle\t51069\tCA\t52567\t52790\t516-728-5453\tH: 150,000 - 169,999\t3000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19234\tAngela\tGentile\tF\t1974\tsingle\t67 North Governer Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t678-350-4722\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48869\tAngela\tGentile\tF\t1963\tsingle\t7 South Trego Circle\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t227-728-4693\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22789\tAngela\tGentile\tF\t1946\tsingle\t77 East Trego Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t128-263-3065\tH: 150,000 - 169,999\t15000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26345\tAngela\tGentile\tF\t1948\tsingle\t87 Kenton Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t699-126-7511\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29901\tAngela\tGentile\tF\t1966\tsingle\t87 South Aibonito Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t684-597-6043\tH: 150,000 - 169,999\t5000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33456\tAngela\tGentile\tF\t1951\tsingle\t97 West Meagher Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t597-595-3344\tH: 150,000 - 169,999\t10000\tGentile@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38790\tAngela\tLessman\tF\t1955\tsingle\t107 West Trego Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t555-126-1974\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42345\tAngela\tLessman\tF\t1951\tsingle\t117 East Kenton Avenue\t80841\tWolverhampton\t52514\tEngland - West Midlands\t52593\t52789\t605-597-1336\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16647\tAngela\tLessman\tF\t1970\tsingle\t17 East Parke Court\t76275\tOcala\t52030\tFL\t52595\t52790\t175-597-7488\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46123\tAngela\tLessman\tF\t1950\tsingle\t27 Cross Boulevard\t58488\tDolores\t51391\tCO\t52569\t52790\t131-595-4448\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49678\tAngela\tLessman\tF\t1950\tsingle\t27 North Sainte Genevieve Boulevard\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t367-427-5011\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3235\tAngela\tLessman\tF\t1952\tsingle\t37 West Governer Street\t55787\tMontara\t51919\tCA\t52567\t52790\t305-728-9289\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6790\tAngela\tLessman\tF\t1971\tsingle\t47 Trego Road\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t401-350-3513\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10345\tAngela\tLessman\tF\t1962\tsingle\t47 South Kenton Road\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t628-263-9621\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13901\tAngela\tLessman\tF\t1973\tsingle\t57 North Aibonito Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t339-126-4393\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17456\tAngela\tLessman\tF\t1967\tsingle\t67 East Meagher Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t575-597-3501\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21012\tAngela\tLessman\tF\t1984\tsingle\t77 Brewster Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t346-595-5835\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24568\tAngela\tLessman\tF\t1953\tsingle\t77 North Parke Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t136-427-6933\tH: 150,000 - 169,999\t5000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28123\tAngela\tLessman\tF\t1956\tsingle\t87 West Cross Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t611-728-3096\tH: 150,000 - 169,999\t10000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31678\tAngela\tLessman\tF\t1953\tsingle\t97 Sainte Genevieve Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t185-350-2234\tH: 150,000 - 169,999\t3000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35234\tAngela\tLessman\tF\t1949\tsingle\t97 South Governer Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t489-263-3992\tH: 150,000 - 169,999\t7000\tLessman@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36123\tAngela\tWiley\tF\t1947\tsingle\t107 Cross Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t533-597-8644\tH: 150,000 - 169,999\t15000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39678\tAngela\tWiley\tF\t1952\tsingle\t107 North Sainte Genevieve Avenue\t34216\tMurnau\t51934\tBayern\t52561\t52776\t224-595-3034\tH: 150,000 - 169,999\t3000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43234\tAngela\tWiley\tF\t1951\tsingle\t117 West Governer Avenue\t61189\tEvinston\t51459\tFL\t52595\t52790\t649-427-7838\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25536\tAngela\tWiley\tF\t1958\tsingle\t17 West Meagher Court\t73216\tFrederick\t51519\tCO\t52569\t52790\t485-427-8220\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47012\tAngela\tWiley\tF\t1960\tsingle\t27 East Brewster Boulevard\t55787\tMontara\t51919\tCA\t52567\t52790\t193-728-9737\tH: 150,000 - 169,999\t3000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50567\tAngela\tWiley\tF\t1955\tsingle\t27 South Parke Boulevard\t54845\tHaswell\t51651\tCO\t52569\t52790\t490-350-2324\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4123\tAngela\tWiley\tF\t1961\tsingle\t37 North Cross Street\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t123-263-1389\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7679\tAngela\tWiley\tF\t1949\tsingle\t47 East Sainte Genevieve Road\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t303-126-2906\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n11234\tAngela\tWiley\tF\t1980\tsingle\t57 Governer Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t562-597-2310\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14790\tAngela\tWiley\tF\t1981\tsingle\t57 North Trego Drive\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t296-595-7042\tH: 150,000 - 169,999\t10000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18345\tAngela\tWiley\tF\t1948\tsingle\t67 West Kenton Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t655-427-6145\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48779\tAngela\tWiley\tF\t1983\tmarried\t7 South Aibonito Circle\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t213-595-7978\tH: 150,000 - 169,999\t7000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21900\tAngela\tWiley\tF\t1957\tsingle\t77 East Aibonito Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t482-728-4325\tH: 150,000 - 169,999\t5000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25457\tAngela\tWiley\tF\t1945\tsingle\t77 South Meagher Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t197-350-1689\tH: 150,000 - 169,999\t15000\tWiley@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11241\tArmand\tHurd\tM\t1972\tmarried\t57 Grant Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t157-651-6764\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14797\tArmand\tHurd\tM\t1966\t\t57 North Tuscaloosa Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t285-490-1648\tG: 130,000 - 149,999\t10000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18352\tArmand\tHurd\tM\t1983\tsingle\t67 West Kiowa Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t184-404-3624\tG: 130,000 - 149,999\t3000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5446\tArmand\tHurd\tM\t1969\tmarried\t7 South Albany Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t379-490-3398\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21907\tArmand\tHurd\tM\t1952\tmarried\t77 East Albany Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t355-302-7965\tG: 130,000 - 149,999\t5000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25464\tArmand\tHurd\tM\t1955\t\t77 South Merrick Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t104-119-6033\tG: 130,000 - 149,999\t10000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29019\tArmand\tHurd\tM\t1950\tsingle\t87 North Brunswick Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t572-501-1722\tG: 130,000 - 149,999\t3000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32574\tArmand\tHurd\tM\t1947\tmarried\t97 East Payne Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t159-393-6756\tG: 130,000 - 149,999\t7000\tHurd@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37908\tArmand\tLance\tM\t1953\tmarried\t107 West Albany Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t685-119-8736\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41463\tArmand\tLance\tM\t1974\t\t117 Merrick Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t382-501-3382\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45018\tArmand\tLance\tM\t1967\tsingle\t117 South Brunswick Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t192-393-3263\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7825\tArmand\tLance\tM\t1981\tsingle\t17 San Diego Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t563-501-3839\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43380\tArmand\tLance\tM\t1944\tmarried\t17 South Grant Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t399-393-5175\tG: 130,000 - 149,999\t7000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48797\tArmand\tLance\tM\t1968\t\t27 West Tuscaloosa Boulevard\t89369\tThame\t52364\tEngland - Oxfordshire\t52592\t52789\t681-651-2520\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2353\tArmand\tLance\tM\t1984\tsingle\t37 East Kiowa Street\t58488\tDolores\t51391\tCO\t52569\t52790\t556-490-6071\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5908\tArmand\tLance\tM\t1944\tmarried\t47 Albany Road\t66361\tVelbert\t52436\tNordrhein-Westfalen\t52684\t52776\t444-404-6919\tG: 130,000 - 149,999\t7000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9463\tArmand\tLance\tM\t1949\t\t47 North Merrick Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t276-302-8822\tG: 130,000 - 149,999\t15000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13019\tArmand\tLance\tM\t1975\tsingle\t57 West Brunswick Drive\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t119-119-4984\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16575\tArmand\tLance\tM\t1973\tmarried\t67 Payne Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t498-501-7446\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20130\tArmand\tLance\tM\t1943\t\t67 South Cuyahoga Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t636-393-4023\tG: 130,000 - 149,999\t15000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23686\tArmand\tLance\tM\t1947\tsingle\t77 West San Diego Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t569-651-5082\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27241\tArmand\tLance\tM\t1965\tmarried\t87 East Grant Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t537-490-9575\tG: 130,000 - 149,999\t5000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30796\tArmand\tLance\tM\t1950\t\t87 South Tuscaloosa Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t173-404-3900\tG: 130,000 - 149,999\t10000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34353\tArmand\tLance\tM\t1971\tsingle\t97 North Kiowa Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t319-302-4966\tG: 130,000 - 149,999\t3000\tLance@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38797\tArmand\tPetroff\tM\t1948\t\t107 West Tuscaloosa Avenue\t31583\tDidcot\t51386\tEngland - Oxfordshire\t52592\t52789\t415-393-4048\tG: 130,000 - 149,999\t15000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42352\tArmand\tPetroff\tM\t1963\tsingle\t117 East Kiowa Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t372-651-6760\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16714\tArmand\tPetroff\tM\t1951\tmarried\t17 East Payne Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t526-651-4351\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46130\tArmand\tPetroff\tM\t1958\t\t27 Cuyahoga Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t155-490-3333\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49685\tArmand\tPetroff\tM\t1985\tsingle\t27 North San Diego Boulevard\t68294\tAlkmaar\t51053\tNoord-Holland\t52683\t52770\t230-404-9718\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3242\tArmand\tPetroff\tM\t1976\tmarried\t37 West Grant Street\t55787\tMontara\t51919\tCA\t52567\t52790\t630-302-9452\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6797\tArmand\tPetroff\tM\t1964\t\t47 Tuscaloosa Road\t55646\tNeuss\t51975\tNordrhein-Westfalen\t52684\t52776\t361-119-4052\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10352\tArmand\tPetroff\tM\t1942\tsingle\t47 South Kiowa Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t229-501-6910\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13908\tArmand\tPetroff\tM\t1977\tmarried\t57 North Albany Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t166-393-9925\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17463\tArmand\tPetroff\tM\t1949\t\t67 East Merrick Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t650-651-2210\tG: 130,000 - 149,999\t15000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21019\tArmand\tPetroff\tM\t1950\tsingle\t77 Brunswick Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t629-490-9548\tG: 130,000 - 149,999\t3000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24575\tArmand\tPetroff\tM\t1946\tmarried\t77 North Payne Avenue\t53363\tMontreuil\t51922\tIle-de-France\t52623\t52779\t513-404-1087\tG: 130,000 - 149,999\t7000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28130\tArmand\tPetroff\tM\t1978\t\t87 West Cuyahoga Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t258-302-8340\tG: 130,000 - 149,999\t10000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31685\tArmand\tPetroff\tM\t1949\tsingle\t97 San Diego Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t167-119-6429\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35241\tArmand\tPetroff\tM\t1951\tmarried\t97 South Grant Avenue\t56851\tBeemster\t51174\tNoord-Holland\t52683\t52770\t620-501-3686\tG: 130,000 - 149,999\t5000\tPetroff@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37909\tArnand\tLeopard\tM\t1944\t\t107 West Albemarle Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t460-356-3119\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41464\tArnand\tLeopard\tM\t1943\tmarried\t117 Merrimack Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t467-502-8216\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45019\tArnand\tLeopard\tM\t1946\t\t117 South Bryan Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t543-118-5150\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7836\tArnand\tLeopard\tM\t1944\t\t17 Sandhill Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t125-502-4097\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43391\tArnand\tLeopard\tM\t1961\t\t17 South Gratiot Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t284-118-7909\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48798\tArnand\tLeopard\tM\t1967\tmarried\t27 West Tuscarawas Boulevard\t76275\tOcala\t52030\tFL\t52595\t52790\t323-461-9168\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2354\tArnand\tLeopard\tM\t1938\t\t37 East Kit Carson Street\t58488\tDolores\t51391\tCO\t52569\t52790\t190-307-6271\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5909\tArnand\tLeopard\tM\t1941\t\t47 Albemarle Road\t84773\tStuttgart\t52331\tBaden-Wuerttemberg\t52559\t52776\t221-160-2219\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9464\tArnand\tLeopard\tM\t1949\tmarried\t47 North Merrimack Road\t55787\tMontara\t51919\tCA\t52567\t52790\t674-735-8278\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n13020\tArnand\tLeopard\tM\t1968\t\t57 West Bryan Drive\t83601\tSan Francisco\t52289\tCA\t52567\t52790\t356-356-1222\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16576\tArnand\tLeopard\tM\t1959\t\t67 Pembina Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t152-502-5790\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20131\tArnand\tLeopard\tM\t1970\tmarried\t67 South Dale Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t312-118-7817\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23687\tArnand\tLeopard\tM\t1964\t\t77 West Sandhill Avenue\t32701\tFreising\t51522\tBayern\t52561\t52776\t311-461-1981\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27242\tArnand\tLeopard\tM\t1981\t\t87 East Gratiot Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t200-307-2367\tE: 90,000 - 109,999\t9000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30797\tArnand\tLeopard\tM\t1950\tmarried\t87 South Tuscarawas Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t287-160-5080\tE: 90,000 - 109,999\t1500\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34354\tArnand\tLeopard\tM\t1953\t\t97 North Kit Carson Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t661-735-7822\tE: 90,000 - 109,999\t7000\tLeopard@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36131\tArnand\tLing\tM\t1963\tmarried\t107 Dale Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t171-461-7311\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39686\tArnand\tLing\tM\t1948\t\t107 North Sandhill Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t456-307-1944\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43242\tArnand\tLing\tM\t1969\t\t117 West Gratiot Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t434-160-7223\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25614\tArnand\tLing\tM\t1939\tmarried\t17 West Merrimack Court\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t261-160-2747\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47020\tArnand\tLing\tM\t1960\t\t27 East Bryan Boulevard\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t512-735-5419\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50575\tArnand\tLing\tM\t1979\t\t27 South Pembina Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t370-356-3109\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4131\tArnand\tLing\tM\t1936\tmarried\t37 North Dale Street\t89273\tQuartzhill\t52118\tCA\t52567\t52790\t130-502-6258\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7687\tArnand\tLing\tM\t1966\t\t47 East Sandhill Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t688-118-7385\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11242\tArnand\tLing\tM\t1982\t\t57 Gratiot Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t464-461-2346\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14798\tArnand\tLing\tM\t1938\tmarried\t57 North Tuscarawas Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t256-307-3568\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18353\tArnand\tLing\tM\t1945\t\t67 West Kit Carson Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t329-160-6210\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n6557\tArnand\tLing\tM\t1940\t\t7 South Albemarle Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t248-307-5685\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21908\tArnand\tLing\tM\t1973\t\t77 East Albemarle Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t615-735-5623\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25465\tArnand\tLing\tM\t1971\tmarried\t77 South Merrimack Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t207-356-3526\tE: 90,000 - 109,999\t1500\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29020\tArnand\tLing\tM\t1937\t\t87 North Bryan Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t618-502-3120\tE: 90,000 - 109,999\t7000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32575\tArnand\tLing\tM\t1945\t\t97 East Pembina Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t417-118-8615\tE: 90,000 - 109,999\t9000\tLing@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37020\tArnand\tRobey\tM\t1976\t\t107 East Bryan Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t642-160-7829\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40575\tArnand\tRobey\tM\t1947\t\t107 South Pembina Avenue\t78908\tVenlo\t52439\tLimburg\t52646\t52770\t134-735-2227\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44130\tArnand\tRobey\tM\t1947\tmarried\t117 North Dale Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t140-356-6039\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34503\tArnand\tRobey\tM\t1972\t\t17 North Kit Carson Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t242-356-2409\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47909\tArnand\tRobey\tM\t1965\t\t27 West Albemarle Boulevard\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t466-502-1533\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1465\tArnand\tRobey\tM\t1945\tmarried\t37 Merrimack Street\t91700\tStornoway\t52328\tScotland - Highlands and Islands\t52737\t52789\t347-118-1710\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5020\tArnand\tRobey\tM\t1956\t\t37 South Bryan Street\t45704\tMackville\t51890\tKY\t52632\t52790\t349-461-4254\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8575\tArnand\tRobey\tM\t1983\t\t47 West Pembina Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t571-307-2399\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12132\tArnand\tRobey\tM\t1974\tmarried\t57 East Dale Drive\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t410-160-9018\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15687\tArnand\tRobey\tM\t1962\t\t57 South Sandhill Drive\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t388-735-8524\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19242\tArnand\tRobey\tM\t1934\t\t67 North Gratiot Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t686-356-8400\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48947\tArnand\tRobey\tM\t1951\tmarried\t7 South Tuscarawas Circle\t30154\tBanbury\t51163\tEngland - Oxfordshire\t52592\t52789\t407-735-7132\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22797\tArnand\tRobey\tM\t1975\tmarried\t77 East Tuscarawas Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t402-502-9693\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26353\tArnand\tRobey\tM\t1943\t\t87 Kit Carson Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t421-118-7633\tE: 90,000 - 109,999\t7000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29909\tArnand\tRobey\tM\t1946\t\t87 South Albemarle Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t322-461-7178\tE: 90,000 - 109,999\t9000\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33464\tArnand\tRobey\tM\t1940\tmarried\t97 West Merrimack Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t461-307-3308\tE: 90,000 - 109,999\t1500\tRobey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38798\tArnand\tRoss\tM\t1946\tmarried\t107 West Tuscarawas Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t202-118-4184\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42353\tArnand\tRoss\tM\t1935\t\t117 East Kit Carson Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t313-461-9305\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16725\tArnand\tRoss\tM\t1942\t\t17 East Pembina Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t590-461-3161\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46131\tArnand\tRoss\tM\t1980\tmarried\t27 Dale Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t310-307-2833\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49686\tArnand\tRoss\tM\t1955\t\t27 North Sandhill Boulevard\t73216\tFrederick\t51519\tCO\t52569\t52790\t169-160-6640\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3243\tArnand\tRoss\tM\t1957\t\t37 West Gratiot Street\t55787\tMontara\t51919\tCA\t52567\t52790\t656-735-7439\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6798\tArnand\tRoss\tM\t1952\tmarried\t47 Tuscarawas Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t271-356-6053\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10353\tArnand\tRoss\tM\t1958\t\t47 South Kit Carson Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t257-502-5519\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13909\tArnand\tRoss\tM\t1937\t\t57 North Albemarle Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t352-118-4982\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17464\tArnand\tRoss\tM\t1977\tmarried\t67 East Merrimack Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t182-461-2762\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21020\tArnand\tRoss\tM\t1978\t\t77 Bryan Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t377-307-2260\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24576\tArnand\tRoss\tM\t1939\t\t77 North Pembina Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t301-160-9128\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28131\tArnand\tRoss\tM\t1954\tmarried\t87 West Dale Avenue\t43505\tValencia\t52430\tValencia\t52755\t52778\t277-735-8221\tE: 90,000 - 109,999\t1500\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31686\tArnand\tRoss\tM\t1933\t\t97 Sandhill Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t631-356-8431\tE: 90,000 - 109,999\t7000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35242\tArnand\tRoss\tM\t1944\t\t97 South Gratiot Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t376-502-3952\tE: 90,000 - 109,999\t9000\tRoss@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36132\tArno\tGrey\tM\t1980\tsingle\t107 Dallas Avenue\t44581\tMoerdijk\t51916\tNoord-Brabant\t52682\t52770\t518-555-5255\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39687\tArno\tGrey\tM\t1949\tmarried\t107 North San German Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t542-340-1776\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43243\tArno\tGrey\tM\t1952\t\t117 West Grays Harbor Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t458-696-4165\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25625\tArno\tGrey\tM\t1946\tsingle\t17 West Middlesex Court\t30000\tRio de Janeiro\t52167\tRio de Janeiro\t52713\t52775\t623-696-4217\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47021\tArno\tGrey\tM\t1945\tmarried\t27 East Bucks Boulevard\t78371\tInverness\t51681\tScotland - Highlands and Islands\t52737\t52789\t536-690-1834\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50576\tArno\tGrey\tM\t1942\t\t27 South Pemiscot Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t499-655-8246\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4132\tArno\tGrey\tM\t1960\tsingle\t37 North Dallas Street\t85057\tCardiff\t51316\tWales - South Glamorgan\t52764\t52789\t398-259-1082\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7688\tArno\tGrey\tM\t1966\tmarried\t47 East San German Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t694-746-4807\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11243\tArno\tGrey\tM\t1934\t\t57 Grays Harbor Drive\t74342\tLisburn\t51799\tNorthern Ireland - County Antr\t52686\t52789\t495-555-4481\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14799\tArno\tGrey\tM\t1938\tsingle\t57 North Twin Dolphin Drive\t70577\tPaterna\t52105\tValencia\t52755\t52778\t237-340-6162\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18354\tArno\tGrey\tM\t1948\tmarried\t67 West Kitsap Avenue\t57579\tDingle\t51389\tKerry\t52637\t52772\t424-696-8675\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7668\tArno\tGrey\tM\t1975\t\t7 South Alexander Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t540-340-1035\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21909\tArno\tGrey\tM\t1967\t\t77 East Alexander Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t507-690-7090\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25466\tArno\tGrey\tM\t1958\tsingle\t77 South Middlesex Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t692-655-5451\tD: 70,000 - 89,999\t3000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29021\tArno\tGrey\tM\t1969\tmarried\t87 North Bucks Avenue\t31933\tBarcelona\t51164\tBarcelona\t52560\t52778\t335-259-6072\tD: 70,000 - 89,999\t5000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32576\tArno\tGrey\tM\t1963\t\t97 East Pemiscot Avenue\t41847\tEdgewood\t51443\tKY\t52632\t52790\t602-746-4122\tD: 70,000 - 89,999\t10000\tGrey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n38799\tArno\tHartzog\tM\t1944\tsingle\t107 West Twin Dolphin Avenue\t59061\tSanibel\t52292\tFL\t52595\t52790\t306-746-7688\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n42354\tArno\tHartzog\tM\t1937\tmarried\t117 East Kitsap Avenue\t50385\tWakefield\t52493\tEngland - West Yorkshire\t52594\t52789\t345-555-1297\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16736\tArno\tHartzog\tM\t1947\t\t17 East Pemiscot Court\t69776\tHiseville\t51663\tKY\t52632\t52790\t595-555-2522\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46132\tArno\tHartzog\tM\t1968\tsingle\t27 Dallas Boulevard\t86319\tSalamanca\t52286\tSalamanca\t52733\t52778\t168-340-9376\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49687\tArno\tHartzog\tM\t1950\tmarried\t27 North San German Boulevard\t73216\tFrederick\t51519\tCO\t52569\t52790\t180-696-4449\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3244\tArno\tHartzog\tM\t1971\t\t37 West Grays Harbor Street\t55787\tMontara\t51919\tCA\t52567\t52790\t659-690-5021\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6799\tArno\tHartzog\tM\t1964\tsingle\t47 Twin Dolphin Road\t54845\tHaswell\t51651\tCO\t52569\t52790\t386-655-2864\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n10354\tArno\tHartzog\tM\t1942\tmarried\t47 South Kitsap Road\t57128\tBarry\t51166\tWales - South Glamorgan\t52764\t52789\t516-259-8531\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13910\tArno\tHartzog\tM\t1955\t\t57 North Alexander Drive\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t678-746-5291\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17465\tArno\tHartzog\tM\t1982\tsingle\t67 East Middlesex Avenue\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t128-555-8724\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21021\tArno\tHartzog\tM\t1973\tmarried\t77 Bucks Avenue\t46413\tBelfast City\t51175\tNorthern Ireland - County Antr\t52686\t52789\t699-340-9329\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24577\tArno\tHartzog\tM\t1961\t\t77 North Pemiscot Avenue\t67272\tCloverdale\t51334\tCA\t52567\t52790\t684-696-6155\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28132\tArno\tHartzog\tM\t1930\tsingle\t87 West Dallas Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t597-690-5155\tD: 70,000 - 89,999\t3000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31687\tArno\tHartzog\tM\t1974\tmarried\t97 San German Avenue\t87340\tOxford\t52041\tEngland - Oxfordshire\t52592\t52789\t582-655-8211\tD: 70,000 - 89,999\t5000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35243\tArno\tHartzog\tM\t1940\t\t97 South Grays Harbor Avenue\t83124\tWeston-super-Mare\t52507\tEngland - Avon\t52588\t52789\t420-259-9363\tD: 70,000 - 89,999\t10000\tHartzog@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37021\tArno\tLinks\tM\t1953\tmarried\t107 East Bucks Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t605-696-2119\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40576\tArno\tLinks\tM\t1929\t\t107 South Pemiscot Avenue\t83967\tTilburg\t52369\tNoord-Brabant\t52682\t52770\t505-690-1415\tD: 70,000 - 89,999\t15000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44131\tArno\tLinks\tM\t1943\tsingle\t117 North Dallas Avenue\t33415\tPala\t52101\tCA\t52567\t52790\t161-655-1326\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34514\tArno\tLinks\tM\t1941\tmarried\t17 North Kitsap Court\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t367-655-1395\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47910\tArno\tLinks\tM\t1943\t\t27 West Alexander Boulevard\t74487\tKonstanz\t51736\tBaden-Wuerttemberg\t52559\t52776\t305-259-2371\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1466\tArno\tLinks\tM\t1939\tsingle\t37 Middlesex Street\t58334\tMassy\t51904\tIle-de-France\t52623\t52779\t401-746-7520\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5021\tArno\tLinks\tM\t1979\tmarried\t37 South Bucks Street\t45704\tMackville\t51890\tKY\t52632\t52790\t628-555-5371\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8576\tArno\tLinks\tM\t1954\t\t47 West Pemiscot Road\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t339-340-1726\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12133\tArno\tLinks\tM\t1956\tsingle\t57 East Dallas Drive\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t575-696-9796\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15688\tArno\tLinks\tM\t1951\tmarried\t57 South San German Drive\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t346-690-4132\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19243\tArno\tLinks\tM\t1957\t\t67 North Grays Harbor Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t136-655-6235\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48958\tArno\tLinks\tM\t1941\tsingle\t7 South Twin Dolphin Circle\t35402\tHamburg\t51648\tHamburg\t52616\t52776\t131-690-4175\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22798\tArno\tLinks\tM\t1933\tsingle\t77 East Twin Dolphin Avenue\t32855\tBirmingham\t51192\tEngland - West Midlands\t52593\t52789\t611-259-2464\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26354\tArno\tLinks\tM\t1976\tmarried\t87 Kitsap Avenue\t75603\tPalmdale\t52102\tFL\t52595\t52790\t185-746-7202\tD: 70,000 - 89,999\t5000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29910\tArno\tLinks\tM\t1977\t\t87 South Alexander Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t489-555-5547\tD: 70,000 - 89,999\t10000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33465\tArno\tLinks\tM\t1936\tsingle\t97 West Middlesex Avenue\t31132\tSaint Marks\t52279\tFL\t52595\t52790\t555-340-8664\tD: 70,000 - 89,999\t3000\tLinks@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37910\tArno\tMallory\tM\t1934\t\t107 West Alexander Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t649-655-7915\tD: 70,000 - 89,999\t10000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41465\tArno\tMallory\tM\t1944\tsingle\t117 Middlesex Avenue\t63627\tKeighley\t51722\tEngland - West Yorkshire\t52594\t52789\t584-259-4594\tD: 70,000 - 89,999\t3000\tMallory@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16692\tAntony\tChinn\tM\t1938\tsingle\t17 East Patrick Court\t38931\tCape Town\t51315\tSouth Africa\t52740\t52791\t540-533-5005\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n46128\tAntony\tChinn\tM\t1976\tmarried\t27 Curry Boulevard\t30828\tDownham Market\t51396\tEngland - Norfolk\t52591\t52789\t623-783-8644\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n49683\tAntony\tChinn\tM\t1946\t\t27 North Saluda Boulevard\t53760\tDurban\t51403\tSouth Africa\t52740\t52791\t536-702-3034\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3240\tAntony\tChinn\tM\t1948\tsingle\t37 West Grand Forks Street\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t499-115-7838\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n6795\tAntony\tChinn\tM\t1943\tmarried\t47 Trumbull Road\t77287\tKuala Lumpur\t51739\tKuala Lumpur\t52639\t52769\t398-516-1960\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n10350\tAntony\tChinn\tM\t1977\t\t47 South King And Road\t78769\tWroclaw\t52517\tWroclaw\t52767\t52786\t694-121-7069\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13906\tAntony\tChinn\tM\t1948\tsingle\t57 North Alachua Drive\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t495-450-2063\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n17461\tAntony\tChinn\tM\t1949\tmarried\t67 East Mercer Avenue\t73071\tAlleppey\t51054\tKerala\t52636\t52771\t237-533-1117\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21017\tAntony\tChinn\tM\t1946\t\t77 Broome Avenue\t68054\tKrakow\t51737\tKrakow\t52638\t52786\t424-783-9971\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n24573\tAntony\tChinn\tM\t1962\tsingle\t77 North Patrick Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t507-702-6103\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n28128\tAntony\tChinn\tM\t1968\tmarried\t87 West Curry Avenue\t57631\tBalk\t51160\tFriesland\t52600\t52770\t692-115-6404\tF: 110,000 - 129,999\t5000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n31683\tAntony\tChinn\tM\t1942\t\t97 Saluda Avenue\t46981\tDen Haag The Hague\t51385\tZuid-Holland\t52771\t52770\t335-516-9567\tF: 110,000 - 129,999\t10000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n35239\tAntony\tChinn\tM\t1944\tsingle\t97 South Grand Forks Avenue\t85268\tWellington\t52503\tWellington\t52766\t52785\t602-121-9478\tF: 110,000 - 129,999\t3000\tChinn@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36128\tAntony\tLusk\tM\t1953\tmarried\t107 Curry Avenue\t40125\tKatowice\t51720\tKatowice\t52635\t52786\t555-533-9376\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39683\tAntony\tLusk\tM\t1959\t\t107 North Saluda Avenue\t76836\tAmersfoort\t51062\tUtrecht\t52750\t52770\t605-783-4449\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43239\tAntony\tLusk\tM\t1941\tsingle\t117 West Grand Forks Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t505-702-5021\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25581\tAntony\tLusk\tM\t1971\tmarried\t17 West Mercer Court\t88666\tMiddelburg\t51912\tZeeland\t52770\t52770\t131-702-3344\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47017\tAntony\tLusk\tM\t1965\t\t27 East Broome Boulevard\t51527\tAltrincham\t51061\tEngland - Greater Manchester\t52590\t52789\t367-115-9375\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50572\tAntony\tLusk\tM\t1982\tsingle\t27 South Patrick Boulevard\t74102\tMelbourne\t51907\tVictoria\t52756\t52774\t305-516-7240\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4128\tAntony\tLusk\tM\t1951\tmarried\t37 North Curry Street\t91767\tRotterdam\t52176\tZuid-Holland\t52771\t52770\t401-121-6239\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n7684\tAntony\tLusk\tM\t1954\t\t47 East Saluda Road\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t628-450-6869\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11239\tAntony\tLusk\tM\t1947\tsingle\t57 Grand Forks Drive\t54930\tShah Alam\t52307\tSelangor\t52738\t52769\t339-533-9381\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14795\tAntony\tLusk\tM\t1945\tmarried\t57 North Trumbull Drive\t42058\tNiteroi\t51984\tRio de Janeiro\t52713\t52775\t575-783-6227\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18350\tAntony\tLusk\tM\t1949\t\t67 West King And Avenue\t40576\tWageningen\t52492\tGelderland\t52610\t52770\t346-702-8947\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n3224\tAntony\tLusk\tM\t1960\tsingle\t7 South Alachua Circle\t42859\tAssen\t51074\tDrenthe\t52579\t52770\t175-783-6043\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21905\tAntony\tLusk\tM\t1945\tsingle\t77 East Alachua Avenue\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t136-115-7873\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25462\tAntony\tLusk\tM\t1981\tmarried\t77 South Mercer Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t611-516-3593\tF: 110,000 - 129,999\t5000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29017\tAntony\tLusk\tM\t1956\t\t87 North Broome Avenue\t60073\tKlang\t51732\tSelangor\t52738\t52769\t185-121-1963\tF: 110,000 - 129,999\t10000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n32572\tAntony\tLusk\tM\t1958\tsingle\t97 East Patrick Avenue\t63488\tSydney\t52334\tNew South Wales\t52680\t52774\t489-450-2522\tF: 110,000 - 129,999\t3000\tLusk@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37017\tAntony\tOsborne\tM\t1967\t\t107 East Broome Avenue\t37400\tYokohama\t52526\tKanagawa\t52634\t52782\t224-702-1834\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n40572\tAntony\tOsborne\tM\t1983\tsingle\t107 South Patrick Avenue\t64410\tZoetermeer\t52531\tZuid-Holland\t52771\t52770\t649-115-8246\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n44127\tAntony\tOsborne\tM\t1941\tmarried\t117 North Curry Avenue\t53814\tFukuoka\t51524\tFukuoka\t52601\t52782\t584-516-1082\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34470\tAntony\tOsborne\tM\t1979\t\t17 North King And Court\t80999\tWestminster\t52506\tEngland - Greater London\t52589\t52789\t193-516-6450\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47906\tAntony\tOsborne\tM\t1942\tsingle\t27 West Alachua Boulevard\t34427\tGalway City\t51571\tGalway\t52608\t52772\t490-121-6834\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n1462\tAntony\tOsborne\tM\t1955\tmarried\t37 Mercer Street\t38293\tZaandam\t52527\tNoord-Holland\t52683\t52770\t123-450-2640\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5017\tAntony\tOsborne\tM\t1937\t\t37 South Broome Street\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t303-533-9221\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n8572\tAntony\tOsborne\tM\t1945\tsingle\t47 West Patrick Road\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t562-783-2963\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n12129\tAntony\tOsborne\tM\t1947\tmarried\t57 East Curry Drive\t79119\tKerkrade\t51726\tLimburg\t52646\t52770\t296-702-6332\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n15684\tAntony\tOsborne\tM\t1939\t\t57 South Saluda Drive\t89484\tBristol\t51219\tEngland - Avon\t52588\t52789\t655-115-6822\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n19239\tAntony\tOsborne\tM\t1944\tsingle\t67 North Grand Forks Avenue\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t482-516-5058\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48914\tAntony\tOsborne\tM\t1978\tmarried\t7 South Trumbull Circle\t31343\tSan Nicolas\t52291\tBuenos Aires\t52566\t52773\t485-115-5298\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n22794\tAntony\tOsborne\tM\t1943\tmarried\t77 East Trumbull Avenue\t53574\tAlmere\t51057\tFlevopolder\t52599\t52770\t197-121-9091\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n26350\tAntony\tOsborne\tM\t1961\t\t87 King And Avenue\t67644\tJoinville\t51698\tSanta Catarina\t52734\t52775\t447-450-9556\tF: 110,000 - 129,999\t10000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29906\tAntony\tOsborne\tM\t1980\tsingle\t87 South Alachua Avenue\t66121\tZaanstad\t52528\tNoord-Holland\t52683\t52770\t472-533-1035\tF: 110,000 - 129,999\t3000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n33461\tAntony\tOsborne\tM\t1940\tmarried\t97 West Mercer Avenue\t52773\tSantos\t52293\tSao Paulo\t52735\t52775\t533-783-4217\tF: 110,000 - 129,999\t5000\tOsborne@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37906\tAntony\tWolsey\tM\t1984\tsingle\t107 West Alachua Avenue\t75214\tMar del Plata\t51899\tBuenos Aires\t52566\t52773\t420-516-2371\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41461\tAntony\tWolsey\tM\t1975\tmarried\t117 Mercer Avenue\t81402\tLelystad\t51793\tFlevopolder\t52599\t52770\t306-121-7520\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45016\tAntony\tWolsey\tM\t1963\t\t117 South Broome Avenue\t83264\tSchiphol\t52298\tNoord-Holland\t52683\t52770\t345-450-5371\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7803\tAntony\tWolsey\tM\t1947\t\t17 Saluda Court\t82985\tHeywood\t51660\tEngland - Greater Manchester\t52590\t52789\t474-121-2234\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43358\tAntony\tWolsey\tM\t1974\tsingle\t17 South Grand Forks Court\t65771\tWigan\t52511\tEngland - Greater Manchester\t52590\t52789\t595-450-3992\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48795\tAntony\tWolsey\tM\t1972\tmarried\t27 West Trumbull Boulevard\t39245\tBrisbane\t51218\tQueensland\t52703\t52774\t168-533-1974\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2351\tAntony\tWolsey\tM\t1940\t\t37 East King And Street\t62356\tLimerick\t51797\tLimerick\t52647\t52772\t180-783-1336\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n5906\tAntony\tWolsey\tM\t1946\tsingle\t47 Alachua Road\t60332\tEde\t51442\tGelderland\t52610\t52770\t659-702-3111\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9461\tAntony\tWolsey\tM\t1964\tmarried\t47 North Mercer Road\t55406\tHoofddorp\t51669\tNoord-Holland\t52683\t52770\t386-115-5690\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13017\tAntony\tWolsey\tM\t1949\t\t57 West Broome Drive\t34077\tSchimmert\t52297\tLimburg\t52646\t52770\t516-516-3486\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n16573\tAntony\tWolsey\tM\t1970\tsingle\t67 Patrick Avenue\t72996\tScheveningen\t52296\tZuid-Holland\t52771\t52770\t678-121-9265\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20128\tAntony\tWolsey\tM\t1952\tmarried\t67 South Curry Avenue\t90285\tHyderabad\t51673\tAndhra Pradesh\t52547\t52771\t128-450-4741\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23684\tAntony\tWolsey\tM\t1973\t\t77 West Saluda Avenue\t83786\tNagoya\t51971\tAichi\t52543\t52782\t699-533-8199\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n27239\tAntony\tWolsey\tM\t1966\tsingle\t87 East Grand Forks Avenue\t70337\tArnemuiden\t51070\tZeeland\t52770\t52770\t684-783-8104\tF: 110,000 - 129,999\t3000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30794\tAntony\tWolsey\tM\t1948\tmarried\t87 South Trumbull Avenue\t38878\tHilversum\t51662\tNoord-Holland\t52683\t52770\t597-702-4175\tF: 110,000 - 129,999\t5000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34351\tAntony\tWolsey\tM\t1957\t\t97 North King And Avenue\t48907\tKampen\t51716\tOverijssel\t52692\t52770\t582-115-1395\tF: 110,000 - 129,999\t10000\tWolsey@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n37907\tArchibald\tFellows\tM\t1960\t\t107 West Alameda Avenue\t57929\tHeilbronn\t51656\tBaden-Wuerttemberg\t52559\t52776\t588-129-8657\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n41462\tArchibald\tFellows\tM\t1962\tsingle\t117 Meriwether Avenue\t59862\tMalaga\t51894\tMalaga\t52661\t52778\t318-181-5342\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n45017\tArchibald\tFellows\tM\t1957\tmarried\t117 South Brown Avenue\t46864\tLauret\t51788\tLanguedoc-Roussillon\t52645\t52779\t406-441-9427\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7814\tArchibald\tFellows\tM\t1954\tmarried\t17 San Bernardino Court\t86668\tNorwich\t51995\tEngland - Norfolk\t52591\t52789\t519-181-2184\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43369\tArchibald\tFellows\tM\t1973\t\t17 South Grand View Court\t44130\tSan Mateo\t52290\tCA\t52567\t52790\t327-441-8039\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n48796\tArchibald\tFellows\tM\t1964\tsingle\t27 West Tulare Boulevard\t48853\tCity of London\t51328\tEngland - Greater London\t52589\t52789\t288-617-7182\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n2352\tArchibald\tFellows\tM\t1975\tmarried\t37 East Kingman Street\t40715\tRavensburg\t52159\tBaden-Wuerttemberg\t52559\t52776\t222-284-7891\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n5907\tArchibald\tFellows\tM\t1969\t\t47 Alameda Road\t81292\tNanterre\t51972\tIle-de-France\t52623\t52779\t675-564-4177\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n9462\tArchibald\tFellows\tM\t1986\tsingle\t47 North Meriwether Road\t33866\tBergen op Zoom\t51181\tNoord-Brabant\t52682\t52770\t183-249-5873\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n13018\tArchibald\tFellows\tM\t1955\tmarried\t57 West Brown Drive\t50629\tLegrand\t51791\tCA\t52567\t52790\t129-129-6775\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tA\n16574\tArchibald\tFellows\tM\t1958\t\t67 Pawnee Avenue\t91906\tClermont-l'Herault\t51329\tLanguedoc-Roussillon\t52645\t52779\t689-181-2621\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n20129\tArchibald\tFellows\tM\t1959\tsingle\t67 South Custer Avenue\t68644\tSchwaebisch Gmuend\t52300\tBaden-Wuerttemberg\t52559\t52776\t208-441-2511\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n23685\tArchibald\tFellows\tM\t1953\tmarried\t77 West San Bernardino Avenue\t62145\tNuernberg\t51996\tBayern\t52561\t52776\t391-617-9886\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n27240\tArchibald\tFellows\tM\t1961\t\t87 East Grand View Avenue\t48797\tWymondham\t52520\tEngland - Norfolk\t52591\t52789\t587-284-8027\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n30795\tArchibald\tFellows\tM\t1957\tsingle\t87 South Tulare Avenue\t66437\tAsten\t51075\tNoord-Brabant\t52682\t52770\t530-564-4631\tJ: 190,000 - 249,999\t11000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n34352\tArchibald\tFellows\tM\t1985\t\t97 North Kingman Avenue\t40365\tTralee\t52379\tKerry\t52637\t52772\t381-249-2936\tJ: 190,000 - 249,999\t9000\tFellows@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n36129\tArchibald\tGrigsby\tM\t1970\tsingle\t107 Custer Avenue\t51080\tStein\t52325\tLimburg\t52646\t52770\t380-617-1949\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n39684\tArchibald\tGrigsby\tM\t1960\tmarried\t107 North San Bernardino Avenue\t55296\tClifton\t51332\tEngland - Avon\t52588\t52789\t174-284-3920\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n43240\tArchibald\tGrigsby\tM\t1961\t\t117 West Grand View Avenue\t72860\tKoeln\t51735\tNordrhein-Westfalen\t52684\t52776\t509-564-5069\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25592\tArchibald\tGrigsby\tM\t1987\tsingle\t17 West Meriwether Court\t76625\tAbingdon\t51043\tEngland - Oxfordshire\t52592\t52789\t677-564-5471\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n47018\tArchibald\tGrigsby\tM\t1953\tmarried\t27 East Brown Boulevard\t42648\tSevilla\t52306\tSevilla\t52739\t52778\t265-249-8987\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n50573\tArchibald\tGrigsby\tM\t1955\t\t27 South Pawnee Boulevard\t78558\tLos Angeles\t51806\tCA\t52567\t52790\t170-129-4603\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4129\tArchibald\tGrigsby\tM\t1978\tsingle\t37 North Custer Street\t70126\tAldridge\t51050\tEngland - West Midlands\t52593\t52789\t332-181-4713\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n7685\tArchibald\tGrigsby\tM\t1976\tmarried\t47 East San Bernardino Road\t64852\tHelmond\t51657\tNoord-Brabant\t52682\t52770\t551-441-3874\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n11240\tArchibald\tGrigsby\tM\t1952\t\t57 Grand View Drive\t82590\tWarstein\t52497\tNordrhein-Westfalen\t52684\t52776\t187-617-6787\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n14796\tArchibald\tGrigsby\tM\t1950\tsingle\t57 North Tulare Drive\t75917\tMolino\t51917\tFL\t52595\t52790\t446-284-9113\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n18351\tArchibald\tGrigsby\tM\t1968\tmarried\t67 West Kingman Avenue\t61035\tFerrals-les-Montagnes\t51502\tLanguedoc-Roussillon\t52645\t52779\t122-564-9144\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n4335\tArchibald\tGrigsby\tM\t1971\t\t7 South Alameda Circle\t39318\tTorrevieja\t52374\tAlicante\t52544\t52778\t101-284-3195\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n21906\tArchibald\tGrigsby\tM\t1953\t\t77 East Alameda Avenue\t67843\tArbuckle\t51069\tCA\t52567\t52790\t383-249-2664\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n25463\tArchibald\tGrigsby\tM\t1974\tsingle\t77 South Meriwether Avenue\t63736\tKillarney\t51728\tKerry\t52637\t52772\t400-129-4234\tJ: 190,000 - 249,999\t11000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n29018\tArchibald\tGrigsby\tM\t1956\tmarried\t87 North Brown Avenue\t38432\tSolingen\t52319\tNordrhein-Westfalen\t52684\t52776\t608-181-8152\tJ: 190,000 - 249,999\t9000\tGrigsby@company.example.com\tCustomer total\t52772\t\t1998-01-01 00:00:00\t\tI\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1641648300","id":"20200915-183829_1627964744","dateCreated":"2018-02-04T02:30:25+0000","dateStarted":"2020-09-15T23:45:17+0000","dateFinished":"2020-09-15T23:45:17+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:29"},{"title":"Display the mode value for CUST_MARITAL_STATUS","text":"%sql \n\nSELECT STATS_MODE(CUST_MARITAL_STATUS) FROM SH.CUSTOMERS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:17+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"STATS_MODE(CUST_MARITAL_STATUS)","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"STATS_MODE(CUST_MARITAL_STATUS)","index":0,"aggr":"sum"}},"groups":[],"height":89.6667},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":90,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"STATS_MODE(CUST_MARITAL_STATUS)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"STATS_MODE(CUST_MARITAL_STATUS)\nsingle\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1315253297","id":"20200915-183829_1770760531","dateCreated":"2018-02-04T02:31:20+0000","dateStarted":"2020-09-15T23:45:18+0000","dateFinished":"2020-09-15T23:45:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:30"},{"title":"Display the median value for CUST_CREDIT_LIMIT","text":"%sql\n\nSELECT MEDIAN(CUST_CREDIT_LIMIT) FROM SH.CUSTOMERS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:18+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":0,"aggr":"sum"}],"values":[],"scatter":{"xAxis":{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":0,"aggr":"sum"}},"groups":[],"height":84.6667},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":98,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MEDIAN(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MEDIAN(CUST_CREDIT_LIMIT)\n7000\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1239591353","id":"20200915-183829_1711753053","dateCreated":"2018-02-04T02:32:19+0000","dateStarted":"2020-09-15T23:45:18+0000","dateFinished":"2020-09-15T23:45:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:31"},{"title":"Display median CUST_CREDIT_LIMIT grouped by CUST_MARITAL_STATUS in descendig order","text":"%sql \n\nSELECT CUST_MARITAL_STATUS, MEDIAN(CUST_CREDIT_LIMIT) \nFROM SH.CUSTOMERS \nGROUP BY CUST_MARITAL_STATUS;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:18+0000","config":{"colWidth":6,"editorMode":"ace/mode/osql","title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"CUST_MARITAL_STATUS","index":0,"aggr":"sum"}],"values":[{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"MEDIAN(CUST_CREDIT_LIMIT)","index":1,"aggr":"sum"},"xAxis":{"name":"CUST_MARITAL_STATUS","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":328,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","MEDIAN(CUST_CREDIT_LIMIT)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_MARITAL_STATUS\tMEDIAN(CUST_CREDIT_LIMIT)\nDivorc.\t9000\nMabsent\t9000\nMar-AF\t11000\nMarried\t9000\nNeverM\t9000\nSepar.\t9000\nWidowed\t7000\ndivorced\t7000\nmarried\t5000\nsingle\t7000\nwidow\t7000\n\t7000\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1114088176","id":"20200915-183829_1383076270","dateCreated":"2018-02-04T02:37:58+0000","dateStarted":"2020-09-15T23:45:19+0000","dateFinished":"2020-09-15T23:45:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:32"},{"title":"Display mean CUST_CREDIT_LIMIT grouped by CUST_MARITAL_STATUS in descending order","text":"%sql \nSELECT CUST_MARITAL_STATUS, round(AVG(CUST_CREDIT_LIMIT),2)\nFROM SH.CUSTOMERS \nGROUP BY CUST_MARITAL_STATUS \nORDER BY AVG(CUST_CREDIT_LIMIT) DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:19+0000","config":{"colWidth":6,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[],"values":[],"scatter":{},"groups":[],"height":300},"enabled":true,"editorMode":"ace/mode/osql","results":{"0":{"graph":{"mode":"table","height":314,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_MARITAL_STATUS":"string","ROUND(AVG(CUST_CREDIT_LIMIT),2)":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_MARITAL_STATUS\tROUND(AVG(CUST_CREDIT_LIMIT),2)\nMar-AF\t10333.33\nSepar.\t8279.85\nMabsent\t8233.33\nNeverM\t8168.66\nMarried\t7800.64\nDivorc.\t7768.29\n\t7365.56\nWidowed\t7202.21\nwidow\t6400\nsingle\t6349.95\ndivorced\t6346.67\nmarried\t3844.94\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_940778432","id":"20200915-183829_1970650157","dateCreated":"2018-02-04T02:38:47+0000","dateStarted":"2020-09-15T23:45:19+0000","dateFinished":"2020-09-15T23:45:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:33"},{"title":"STATS_MODE with dynamic data","text":"%md\nNote that STATS_MODE can only works with materialized table, instead of dynamic data like a view or tables joined together. In that case, we recommend using the max count. For example, in the following we want to find the mode of the country name, which is obtained from joining two tables. In this case, it is better going with taking the max count. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:19+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Note that STATS_MODE can only works with materialized table, instead of dynamic data like a view or tables joined together. In that case, we recommend using the max count. For example, in the following we want to find the mode of the country name, which is obtained from joining two tables. In this case, it is better going with taking the max count.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-421136479","id":"20200915-183829_1090536161","dateCreated":"2020-08-14T17:33:28+0000","dateStarted":"2020-09-15T23:45:20+0000","dateFinished":"2020-09-15T23:45:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:34"},{"title":"Find the mode of COUNTRY_NAME, i.e., country with most customers","text":"%sql\nSELECT COUNTRY_NAME\nFROM (\n SELECT COUNTRY_NAME, ROW_NUMBER() OVER( order by COUNT desc) RANK\n FROM (\n SELECT COUNTRY_NAME, count(*) COUNT\n FROM SH.CUSTOMERS cust, SH.COUNTRIES co\n WHERE cust.COUNTRY_ID = co.COUNTRY_ID\n GROUP BY COUNTRY_NAME ) a ) b\nWHERE RANK =1","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:20+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":236,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"COUNTRY_NAME":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNTRY_NAME\nUnited States of America\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1245307479","id":"20200915-183829_492947507","dateCreated":"2020-08-11T19:18:57+0000","dateStarted":"2020-09-15T23:45:20+0000","dateFinished":"2020-09-15T23:45:20+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:35"},{"title":"Display counts of COUNTRY_NAME to highlight mode visually","text":"%sql\n\nSELECT COUNTRY_NAME, count(*) COUNT\nFROM SH.CUSTOMERS cust, SH.COUNTRIES co\nWHERE cust.COUNTRY_ID = co.COUNTRY_ID\nGROUP BY COUNTRY_NAME\nORDER BY COUNT DESC","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:43+0000","config":{"colWidth":8,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":262,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_CITY":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"rotate"}},"commonSetting":{},"keys":[{"name":"COUNTRY_NAME","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"COUNT","index":1,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"COUNTRY_NAME\tCOUNT\nUnited States of America\t18520\nGermany\t8173\nItaly\t7780\nUnited Kingdom\t7557\nFrance\t3833\nSpain\t2039\nCanada\t2010\nBrazil\t832\nAustralia\t831\nChina\t712\nPoland\t708\nJapan\t624\nSingapore\t597\nArgentina\t403\nDenmark\t383\nNew Zealand\t244\nTurkey\t91\nSouth Africa\t88\nSaudi Arabia\t75\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_2097605750","id":"20200915-183829_1330530128","dateCreated":"2020-08-11T19:31:55+0000","dateStarted":"2020-09-15T23:45:21+0000","dateFinished":"2020-09-15T23:45:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:36"},{"title":"Check first, second, third quantile of amount sold. PERCENTILE_CONT resolves ties by interpolation. PERCENTILE_DISC outputs first value when seeing a tie","text":"%sql\nSELECT PERCENTILE_CONT(0.25) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"First Quantile cont\",\n PERCENTILE_DISC(0.25) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"First Quantile disc\",\n PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"Second Quantile cont\",\n PERCENTILE_DISC(0.5) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"Second Quantile disc\",\n PERCENTILE_CONT(0.75) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"Third Quantile cont\",\n PERCENTILE_DISC(0.75) WITHIN GROUP (ORDER BY AMOUNT_SOLD) \n \"Third Quantile disc\"\nFROM SH.SALES\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:21+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":94,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"First Quantile cont":"string","First Quantile disc":"string","Second Quantile cont":"string","Second Quantile disc":"string","Third Quantile cont":"string","Third Quantile disc":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"First Quantile cont\tFirst Quantile disc\tSecond Quantile cont\tSecond Quantile disc\tThird Quantile cont\tThird Quantile disc\n17.38\t17.38\t34.24\t34.24\t53.89\t53.89\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-716878775","id":"20200915-183829_386010688","dateCreated":"2020-08-14T14:01:30+0000","dateStarted":"2020-09-15T23:45:21+0000","dateFinished":"2020-09-15T23:45:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:37"},{"title":"Using a t-test","text":"%md\nUse the SQL t-test function. See \nStatistical SQL functions for performing a t-test in-database using the SH.SALES and SH.CUSTOMERS tables. The t-test measures the significance of a difference of means. You can use it to compare the means of two groups or the means of one group with a constant. A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a Normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution. \nSee \n\nHint: P_Values < 0.05 show statistically significantly differences in the amounts purchased by men vs. women\nHint: NaN is used for display when there are nulls and/or empty\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:22+0000","config":{"colWidth":12,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Use the SQL t-test function. See https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/STATS_T_TEST_.html\n
Statistical SQL functions for performing a t-test in-database using the SH.SALES and SH.CUSTOMERS tables. The t-test measures the significance of a difference of means. You can use it to compare the means of two groups or the means of one group with a constant. A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution under the null hypothesis. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a Normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.\n
See https://en.wikipedia.org/wiki/Student%27s_t-test
\nHint: P_Values < 0.05 show statistically significantly differences in the amounts purchased by men vs. women\n
Hint: NaN is used for display when there are nulls and/or empty
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1232153694","id":"20200915-183829_1423327499","dateCreated":"2019-08-13T16:27:46+0000","dateStarted":"2020-09-15T23:45:22+0000","dateFinished":"2020-09-15T23:45:22+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:38"},{"title":"Compare average amount SOLD_TO_MEN versus average amount SOLD_TO_WOMEN Grouped_By INCOME_LEVEL and determine if any are significantly different","text":"%sql \n\nSELECT SUBSTR(CUST_INCOME_LEVEL,1,22) INCOME_LEVEL, \n\tROUND(AVG(DECODE(CUST_GENDER,'M',AMOUNT_SOLD,NULL)),2) SOLD_TO_MEN, \n\tROUND(AVG(DECODE(CUST_GENDER,'F',AMOUNT_SOLD,NULL)),2) SOLD_TO_WOMEN, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD, 'STATISTIC','F'),2) T_OBSERVED, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD),2) TWO_SIDED_P_VALUE\n FROM SH.CUSTOMERS C, SH.SALES S \n WHERE C.CUST_ID=S.CUST_ID \n GROUP BY CUST_INCOME_LEVEL \n ORDER BY 1;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:22+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"values":[{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"},"xAxis":{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"multiBarChart":{},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"INCOME_LEVEL":"string","SOLD_TO_MEN":"string","SOLD_TO_WOMEN":"string","T_OBSERVED":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"TWO_SIDED_P_VALUE","index":4,"aggr":"sum"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"INCOME_LEVEL\tSOLD_TO_MEN\tSOLD_TO_WOMEN\tT_OBSERVED\tTWO_SIDED_P_VALUE\nA: Below 30,000\t105.28\t99.43\t-1.99\t0.05\nB: 30,000 - 49,999\t102.6\t109.83\t3.04\t0\nC: 50,000 - 69,999\t105.63\t110.13\t2.36\t0.02\nD: 70,000 - 89,999\t106.63\t110.47\t2.28\t0.02\nE: 90,000 - 109,999\t103.4\t101.61\t-1.25\t0.21\nF: 110,000 - 129,999\t106.76\t105.98\t-0.6\t0.55\nG: 130,000 - 149,999\t108.88\t107.31\t-0.85\t0.39\nH: 150,000 - 169,999\t110.99\t107.15\t-1.91\t0.06\nI: 170,000 - 189,999\t102.81\t107.44\t2.18\t0.03\nJ: 190,000 - 249,999\t108.04\t115.34\t2.58\t0.01\nK: 250,000 - 299,999\t112.38\t108.2\t-1.41\t0.16\nL: 300,000 and above\t120.97\t112.22\t-2.06\t0.04\n\t107.12\t113.8\t0.69\t0.49\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_867962098","id":"20200915-183829_1197816818","dateCreated":"2018-02-04T02:39:45+0000","dateStarted":"2020-09-15T23:45:23+0000","dateFinished":"2020-09-15T23:45:24+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:39"},{"title":"Compare average amount SOLD_TO_MEN versus average amount SOLD_TO_WOMEN Grouped_By INCOME_LEVEL and determine if any are significantly different","text":"%sql \n\n-- Click the bar chart icon and expand settings. Drag INCOME_LEVEL to Keys, TWO_SIDED_P_VALUE to Values and select Avg. The group is empty. \n\nSELECT SUBSTR(CUST_INCOME_LEVEL,1,22) INCOME_LEVEL, \n\tROUND(AVG(DECODE(CUST_GENDER,'M',AMOUNT_SOLD,NULL)),2) SOLD_TO_MEN, \n\tROUND(AVG(DECODE(CUST_GENDER,'F',AMOUNT_SOLD,NULL)),2) SOLD_TO_WOMEN, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD, 'STATISTIC','F'),2) T_OBSERVED, \n\tROUND(STATS_T_TEST_INDEP(CUST_GENDER, AMOUNT_SOLD),2) TWO_SIDED_P_VALUE\n FROM SH.CUSTOMERS C, SH.SALES S \n WHERE C.CUST_ID=S.CUST_ID \n GROUP BY CUST_INCOME_LEVEL \n ORDER BY TWO_SIDED_P_VALUE DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:43+0000","config":{"colWidth":12,"editorMode":"ace/mode/osql","editorHide":false,"title":true,"graph":{"mode":"table","optionOpen":false,"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"values":[{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"}],"scatter":{"yAxis":{"name":"SOLD_TO_MEN","index":1,"aggr":"sum"},"xAxis":{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}},"groups":[],"height":300},"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":324.133,"optionOpen":false,"setting":{"multiBarChart":{"rotate":{"degree":"-45"},"xLabelStatus":"rotate"},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"INCOME_LEVEL":"string","SOLD_TO_MEN":"string","SOLD_TO_WOMEN":"string","T_OBSERVED":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"INCOME_LEVEL","index":0,"aggr":"sum"}],"groups":[],"values":[{"name":"TWO_SIDED_P_VALUE","index":4,"aggr":"avg"}]},"helium":{}}},"editorSetting":{"language":"sql","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"INCOME_LEVEL\tSOLD_TO_MEN\tSOLD_TO_WOMEN\tT_OBSERVED\tTWO_SIDED_P_VALUE\nF: 110,000 - 129,999\t106.76\t105.98\t-0.6\t0.55\n\t107.12\t113.8\t0.69\t0.49\nG: 130,000 - 149,999\t108.88\t107.31\t-0.85\t0.39\nE: 90,000 - 109,999\t103.4\t101.61\t-1.25\t0.21\nK: 250,000 - 299,999\t112.38\t108.2\t-1.41\t0.16\nH: 150,000 - 169,999\t110.99\t107.15\t-1.91\t0.06\nA: Below 30,000\t105.28\t99.43\t-1.99\t0.05\nL: 300,000 and above\t120.97\t112.22\t-2.06\t0.04\nI: 170,000 - 189,999\t102.81\t107.44\t2.18\t0.03\nC: 50,000 - 69,999\t105.63\t110.13\t2.36\t0.02\nD: 70,000 - 89,999\t106.63\t110.47\t2.28\t0.02\nJ: 190,000 - 249,999\t108.04\t115.34\t2.58\t0.01\nB: 30,000 - 49,999\t102.6\t109.83\t3.04\t0\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1361547463","id":"20200915-183829_2049740937","dateCreated":"2019-07-26T17:45:48+0000","dateStarted":"2020-09-15T23:45:24+0000","dateFinished":"2020-09-15T23:45:25+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:40"},{"title":"Note: NaN is displayed above where INCOME_LEVEL is NULL - display those records","text":"%sql\nselect CUST_ID, CUST_FIRST_NAME, CUST_LAST_NAME, CUST_INCOME_LEVEL \nfrom SH.CUSTOMERS \nwhere CUST_INCOME_LEVEL is NULL\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:25+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","CUST_FIRST_NAME":"string","CUST_LAST_NAME":"string","CUST_INCOME_LEVEL":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCUST_FIRST_NAME\tCUST_LAST_NAME\tCUST_INCOME_LEVEL\n803\tThatcher\tTyler\t\n963\tFabian\tLusk\t\n1043\tForrest\tBanfield\t\n723\tTrevor\tNielley\t\n270\tVerna\tWalsh\t\n590\tWadswworth\tWhite\t\n1017\tWashington\tDally\t\n31\tWilla\tFitz\t\n297\tJacinta\tMathews\t\n617\tJed\tHardy\t\n910\tJeremy\tElliott\t\n351\tJessie\tKing\t\n697\tKeith\tYork\t\n1069\tLance\tTrimmer\t\n323\tLiana\tRodgers\t\n217\tAbigail\tMalloney\t\n776\tAdam\tSavage\t\n244\tLucette\tGray\t\n883\tMackenzie\tDriscoll\t\n57\tMary\tOddell\t\n856\tAlfred\tDoctor\t\n377\tMildred\tDoctor\t\n564\tArthur\tOrson\t\n643\tAubrey\tCapp\t\n137\tAudrey\tCrocker\t\n164\tBernadette\tKenyon\t\n84\tBertha\tSnowden\t\n536\tBrooke\tUmstatt\t\n936\tPearson\tSeven\t\n989\tPedro\tNesbit\t\n830\tPercival\tColven\t\n430\tCaryn\tNielley\t\n1096\tRadford\tSeligman\t\n510\tChristine\tBirch\t\n110\tRiva\tMinnow\t\n403\tRochelle\tShapiro\t\n190\tRosemary\tTannenbaum\t\n484\tDana\tDwyer\t\n457\tDawn\tRowe\t\n669\tSearle\tStockman\t\n750\tStacey\tMellot\t\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1981184812","id":"20200915-183829_2111566210","dateCreated":"2019-08-13T16:21:24+0000","dateStarted":"2020-09-15T23:45:26+0000","dateFinished":"2020-09-15T23:45:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:41"},{"title":"Using a F-test","text":"%md\nUse a F-test. See doc . \nF-test tests whether variances of two groups are significantly different. The null hypothesis is that the variances of two groups are the same. The observed value of f is the ratio of one variance to the other, so values very different from 1 usually indicate significant differences. \nIf the p value is very small (such as p < 0.05), then we reject the null hypothesis. So it is statistical significant that the variances of the two groups are different.\nFor more details, see \nIn the following example, we compare the credit limit in two gender groups. We use F-test to check if the variances of the two gropus are the same.","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:26+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Use a F-test. See doc https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions152.htm.\n
F-test tests whether variances of two groups are significantly different. The null hypothesis is that the variances of two groups are the same. The observed value of f is the ratio of one variance to the other, so values very different from 1 usually indicate significant differences.\n
If the p value is very small (such as p < 0.05), then we reject the null hypothesis. So it is statistical significant that the variances of the two groups are different.\n
For more details, see https://en.wikipedia.org/wiki/F-test\n
In the following example, we compare the credit limit in two gender groups. We use F-test to check if the variances of the two gropus are the same.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-772435817","id":"20200915-183829_467876139","dateCreated":"2020-08-10T20:20:53+0000","dateStarted":"2020-09-15T23:45:26+0000","dateFinished":"2020-09-15T23:45:26+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:42"},{"title":"Compare the variances of the cust_credit_limit for men and women determine if the variances are significantly different","text":"%sql\nSELECT ROUND(VARIANCE(DECODE(cust_gender, 'M', cust_credit_limit, null)),2) var_men,\n ROUND(VARIANCE(DECODE(cust_gender, 'F', cust_credit_limit, null)),2) var_women,\n ROUND(STATS_F_TEST(cust_gender, cust_credit_limit, 'STATISTIC', 'F'),2) f_statistic,\n ROUND(STATS_F_TEST(cust_gender, cust_credit_limit),2) two_sided_p_value\n FROM sh.customers;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:26+0000","config":{"colWidth":12,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":118,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"VAR_MEN":"string","VAR_WOMEN":"string","F_STATISTIC":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","fontSize":9,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"VAR_MEN\tVAR_WOMEN\tF_STATISTIC\tTWO_SIDED_P_VALUE\n12879896.68\t13046865.01\t1.01\t0.31\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1044165112","id":"20200915-183829_1974942478","dateCreated":"2019-08-12T21:04:47+0000","dateStarted":"2020-09-15T23:45:27+0000","dateFinished":"2020-09-15T23:45:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:43"},{"title":"Conclusion for F-test","text":"%md\nThe p-value is greater than 0.05, the result above shows that the variances of the CUST_CREDIT_LIMIT for men and women has no difference.\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:27+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The p-value is greater than 0.05, the result above shows that the variances of the CUST_CREDIT_LIMIT for men and women has no difference.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1664517248","id":"20200915-183829_1803634153","dateCreated":"2020-08-10T23:19:45+0000","dateStarted":"2020-09-15T23:45:27+0000","dateFinished":"2020-09-15T23:45:27+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:44"},{"title":"Using one way ANOVA test","text":"%md\nUsing one way ANOVA test, see doc . \n\nThe one-way analysis of variance function (STATS_ONE_WAY_ANOVA) tests differences in means (for groups or variables) for statistical significance by comparing two different estimates of variance. One estimate is based on the variances within each group or category. This is known as the mean squares within or mean square error. The other estimate is based on the variances among the means of the groups. This is known as the mean squares between. If the means of the groups are significantly different, then the mean squares between will be larger than expected and will not match the mean squares within. If the mean squares of the groups are consistent, then the two variance estimates will be about the same.\n\nFor more information, see \n\nIn the following example, we apply the one way ANOVA to test for each gender, whether the amount sold varies according to the income level. \n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:27+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using one way ANOVA test, see doc https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions156.htm.
\nThe one-way analysis of variance function (STATS_ONE_WAY_ANOVA) tests differences in means (for groups or variables) for statistical significance by comparing two different estimates of variance. One estimate is based on the variances within each group or category. This is known as the mean squares within or mean square error. The other estimate is based on the variances among the means of the groups. This is known as the mean squares between. If the means of the groups are significantly different, then the mean squares between will be larger than expected and will not match the mean squares within. If the mean squares of the groups are consistent, then the two variance estimates will be about the same.
\nFor more information, see https://en.wikipedia.org/wiki/One-way_analysis_of_variance
\nIn the following example, we apply the one way ANOVA to test for each gender, whether the amount sold varies according to the income level.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_439430930","id":"20200915-183829_1232400122","dateCreated":"2020-08-14T01:21:03+0000","dateStarted":"2020-09-15T23:45:28+0000","dateFinished":"2020-09-15T23:45:28+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:45"},{"title":"Apply one way ANOVA test to different income levels and the amount sold, for each gender group.","text":"%sql\nSELECT cust_gender,\n ROUND(STATS_ONE_WAY_ANOVA(cust_income_level, amount_sold, 'MEAN_SQUARES_BETWEEN'),2) MEAN_SQUARES_BETWEEN ,\n ROUND(STATS_ONE_WAY_ANOVA(cust_income_level, amount_sold, 'MEAN_SQUARES_WITHIN'),2) MEAN_SQUARES_WITHIN,\n STATS_ONE_WAY_ANOVA(cust_income_level, amount_sold, 'SIG') p_value\n FROM sh.customers c, sh.sales s\n WHERE c.cust_id = s.cust_id\n GROUP BY cust_gender;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:28+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_GENDER":"string","MEAN_SQUARES_BETWEEN":"string","MEAN_SQUARES_WITHIN":"string","P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_GENDER\tMEAN_SQUARES_BETWEEN\tMEAN_SQUARES_WITHIN\tP_VALUE\nF\t379803.89\t67878.25\t0.0000000047839510702026533\nM\t624317.68\t67228.52\t0.000000000000000067139449119250277\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1446414846","id":"20200915-183829_1272753310","dateCreated":"2020-08-10T18:48:43+0000","dateStarted":"2020-09-15T23:45:28+0000","dateFinished":"2020-09-15T23:45:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:46"},{"title":"Conclusion of one way ANOVA test","text":"%md\nFrom ANOVA test result, we can see that for each gender group, the mean value of the amount sold varies across different income levels. \n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:29+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"From ANOVA test result, we can see that for each gender group, the mean value of the amount sold varies across different income levels.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1939458913","id":"20200915-183829_125800864","dateCreated":"2020-08-10T18:53:47+0000","dateStarted":"2020-09-15T23:45:29+0000","dateFinished":"2020-09-15T23:45:29+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:47"},{"title":"Prepare a view that consists of the gender and the amount sold","text":"%sql\nCREATE OR REPLACE VIEW CUST_GENDER_AMOUNT_SOLD_V AS\nSELECT CUST_GENDER, AMOUNT_SOLD\nFROM sh.customers c, sh.sales s\nWHERE c.cust_id = s.cust_id","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:29+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_GENDER":"string","AMOUNT_SOLD":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195109762_1686870110","id":"20200915-183829_1714434731","dateCreated":"2020-08-10T23:35:31+0000","dateStarted":"2020-09-15T23:45:30+0000","dateFinished":"2020-09-15T23:45:30+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:48"},{"title":"Display the view","text":"%sql\nSELECT * FROM CUST_GENDER_AMOUNT_SOLD_V","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:30+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_GENDER":"string","AMOUNT_SOLD":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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037.93\nM\t1037.93\nF\t1037.93\nM\t1037.93\nM\t1060.63\nF\t1060.63\nF\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1060.63\nF\t1060.63\nF\t1060.63\nF\t1060.63\nM\t1060.63\nM\t1060.63\nM\t1060.63\nF\t1060.63\nM\t1035.33\nM\t1035.33\nF\t1035.33\nF\t1035.33\nM\t1035.33\nM\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1049.83\nM\t1049.83\nM\t1049.83\nM\t1049.83\nM\t1049.83\nM\t1049.83\nF\t1049.83\nM\t1049.83\nM\t1049.83\nF\t1049.83\nM\t1049.83\nM\t1049.83\nM\t1049.83\nF\t1049.83\nF\t1049.83\nF\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1035.33\nM\t1035.33\nF\t1035.33\nF\t1035.33\nM\t1033.21\nM\t1033.21\nF\t1033.21\nM\t1033.21\nM\t1043.5\nM\t1043.5\nM\t1043.5\nF\t1043.5\nM\t1043.5\nM\t1043.5\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nM\t1033.21\nF\t1033.21\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nF\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1030.1\nM\t1030.1\nM\t1030.1\nM\t1030.1\nF\t1030.1\nF\t1030.1\nF\t1030.1\nM\t1030.1\nM\t1044.53\nM\t1044.53\nM\t1044.53\nF\t1030.1\nF\t1030.1\nM\t1030.1\nF\t1030.1\nF\t1030.1\nM\t1030.1\nF\t1030.1\nF\t1030.1\nF\t1030.1\nM\t1030.1\nM\t1044.53\nF\t1044.53\nM\t1044.53\nM\t1044.53\nM\t1044.53\nM\t1044.53\nM\t1044.53\nF\t1044.53\nF\t1044.53\nF\t1044.53\nM\t1044.53\nF\t1044.53\nM\t1044.53\nF\t1044.53\nM\t1044.53\nF\t1044.53\nM\t1033.71\nM\t1033.71\nM\t1033.71\nF\t1033.71\nM\t1033.71\nF\t1033.71\nF\t1033.71\nF\t1033.71\nF\t1033.71\nM\t1033.71\nF\t1033.71\nF\t1033.71\nM\t1033.71\nM\t1033.71\nM\t1033.71\nM\t920.04\nM\t910.52\nM\t910.52\nM\t910.52\nF\t907.34\nM\t907.34\nM\t907.34\nF\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nF\t907.34\nF\t907.34\nF\t907.34\nM\t907.34\nF\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nF\t907.34\nF\t907.34\nF\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nM\t907.34\nF\t920.04\nM\t920.04\nM\t920.04\nF\t1044.82\nM\t1044.82\nF\t1044.82\nM\t1044.82\nM\t1044.82\nF\t1030.39\nF\t1030.39\nF\t1030.39\nF\t1030.39\nM\t1030.39\nM\t1030.39\nM\t1044.82\nM\t1044.82\nF\t1044.82\nF\t1044.82\nM\t1044.82\nM\t1044.82\nM\t1044.82\nF\t1044.82\nF\t1030.39\nM\t1030.39\nM\t1030.39\nM\t1030.39\nF\t1044.82\nF\t1044.82\nM\t1044.82\nM\t1044.82\nM\t1044.82\nM\t1044.82\nM\t1044.82\nM\t1044.82\nF\t1044.82\nM\t1044.82\nF\t1044.82\nM\t1043.5\nM\t1043.5\nF\t1043.5\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nF\t1029.1\nM\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nF\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1029.1\nM\t1043.5\nF\t1043.5\nF\t1043.5\nM\t1043.5\nF\t1043.5\nM\t1032.7\nM\t1032.7\nF\t1032.7\nM\t1032.7\nM\t1032.7\nM\t983.67\nM\t983.67\nM\t983.67\nM\t983.67\nM\t970.1\nM\t970.1\nM\t970.1\nM\t970.1\nM\t970.1\nM\t983.67\nF\t983.67\nF\t983.67\nF\t973.97\nF\t973.97\nM\t973.97\nF\t973.97\nM\t973.97\nM\t970.1\nF\t970.1\nF\t970.1\nM\t970.1\nF\t983.67\nM\t983.67\nM\t983.67\nF\t983.67\nF\t983.67\nF\t983.67\nM\t983.67\nM\t983.67\nF\t983.67\nF\t983.67\nF\t983.67\nM\t983.67\nF\t983.67\nM\t983.67\nM\t983.67\nM\t983.67\nF\t983.67\nF\t983.67\nM\t1173.97\nM\t1173.97\nF\t1173.97\nF\t1173.97\nM\t1173.97\nF\t1173.97\nM\t1173.97\nF\t1173.97\nM\t1173.97\nM\t1173.97\nF\t1173.97\nM\t1173.97\nF\t1173.97\nF\t1173.97\nM\t1173.97\nF\t1173.97\nF\t1173.97\nF\t1173.97\nM\t1173.97\nM\t1185.17\nF\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nF\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nM\t1185.17\nF\t1185.17\nM\t1185.17\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nM\t1172.59\nF\t1172.59\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nF\t1128.28\nF\t1128.28\nM\t1128.28\nF\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nF\t1128.28\nF\t1128.28\nM\t1128.28\nF\t1128.28\nM\t1128.28\nM\t1128.28\nM\t1126.93\nF\t1126.93\nF\t1126.93\nM\t1126.93\nM\t1126.93\nM\t1126.93\nM\t1126.93\nM\t1126.93\nM\t1126.93\nF\t1126.93\nM\t1126.93\nM\t1126.93\nM\t1126.93\nF\t1126.93\nM\t1126.93\nM\t1126.93\nF\t1126.93\nM\t1126.93\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nF\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nM\t1124.25\nF\t1124.25\nM\t1112.18\nM\t1112.18\nM\t1112.18\nF\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nF\t1112.18\nM\t1112.18\nM\t1112.18\nF\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nF\t1112.18\nF\t1112.18\nF\t1112.18\nF\t1112.18\nF\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1112.18\nF\t1112.18\nM\t1112.18\nM\t1112.18\nM\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nF\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nF\t1110.86\nF\t1110.86\nF\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1110.86\nM\t1101.48\nF\t1101.48\nM\t1101.48\nM\t1101.48\nF\t1101.48\nF\t1101.48\nF\t1101.48\nM\t1101.48\nF\t1101.48\nM\t1101.48\nM\t1101.48\nM\t1101.48\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-2090989714","id":"20200915-183829_148706217","dateCreated":"2020-08-14T02:53:55+0000","dateStarted":"2020-09-15T23:45:30+0000","dateFinished":"2020-09-15T23:45:31+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:49"},{"title":"Using Kolmogorov-Smirnov test","text":"%md\nUsing a Kolmogorov-Smirnov test see doc \nKolmogorov-Smirnov test compares two samples to test whether they are from the same population or from populations that have the same distribution. It does not assume that the population from which the samples were taken is normally distributed. The null hypothesis is that the two groups of data comes from the same population or distribution. If the p-value < 0.05, then we reject the null hypothesis. \nFor more details, see \nIn the following exmaple, we check if whether the distributions of the amount sold by two gender groups is different in distribution with statistical significance.","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:31+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using a Kolmogorov-Smirnov test see doc https://docs.oracle.com/database/121/SQLRF/functions187.htm#SQLRF06319\n
Kolmogorov-Smirnov test compares two samples to test whether they are from the same population or from populations that have the same distribution. It does not assume that the population from which the samples were taken is normally distributed. The null hypothesis is that the two groups of data comes from the same population or distribution. If the p-value < 0.05, then we reject the null hypothesis.\n
For more details, see https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test\n
In the following exmaple, we check if whether the distributions of the amount sold by two gender groups is different in distribution with statistical significance.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1062596424","id":"20200915-183829_642512496","dateCreated":"2020-08-10T23:19:33+0000","dateStarted":"2020-09-15T23:45:31+0000","dateFinished":"2020-09-15T23:45:31+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:50"},{"title":"Kolmogorov-Smirnov test for checking whether the distributions of the amount sold by two gender groups is different in distribution with statistical significance. ","text":"%sql\nSELECT ROUND(stats_ks_test(cust_gender, amount_sold, 'STATISTIC'),5) ks_statistic,\n ROUND(stats_ks_test(cust_gender, amount_sold),5) p_value\n FROM CUST_GENDER_AMOUNT_SOLD_V\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:31+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":134,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"KS_STATISTIC":"string","P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"KS_STATISTIC\tP_VALUE\n0.00384\t0.00408\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-72559047","id":"20200915-183829_1564643720","dateCreated":"2020-08-10T18:06:56+0000","dateStarted":"2020-09-15T23:45:31+0000","dateFinished":"2020-09-15T23:45:32+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:51"},{"title":"Conclusion of Kolmogorov-Smirnov test","text":"%md\nSince the p-value < 0.05, we reject the null hypothesis that the distributions of two gender groups are the same. Kolmogorov-Smirnov test result shows that the difference of distributions of two gender groups is significant. \n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:32+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Since the p-value < 0.05, we reject the null hypothesis that the distributions of two gender groups are the same. Kolmogorov-Smirnov test result shows that the difference of distributions of two gender groups is significant.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1966707216","id":"20200915-183829_981485025","dateCreated":"2020-08-10T23:34:46+0000","dateStarted":"2020-09-15T23:45:33+0000","dateFinished":"2020-09-15T23:45:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:52"},{"title":"Using Mann Whitney test","text":"%md\nUsing Mann Whitney test, see doc \ncompares two independent samples to test the null hypothesis that two populations have the same distribution function against the alternative hypothesis that the two distribution functions are different.","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:33+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":false,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using Mann Whitney test, see doc https://docs.oracle.com/database/121/SQLRF/functions189.htm#SQLRF06321\n
compares two independent samples to test the null hypothesis that two populations have the same distribution function against the alternative hypothesis that the two distribution functions are different.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-926590168","id":"20200915-183829_1512065347","dateCreated":"2020-08-10T18:17:30+0000","dateStarted":"2020-09-15T23:45:33+0000","dateFinished":"2020-09-15T23:45:33+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:53"},{"title":"Mann Whitney Test for checking whether the distributions of the amount sold by two gender groups is different in distribution with statistical significance.","text":"%sql\nSELECT ROUND(STATS_MW_TEST(cust_gender, cust_credit_limit, 'STATISTIC'),2) z_statistic,\n ROUND(STATS_MW_TEST(cust_gender, cust_credit_limit, 'TWO_SIDED_SIG', 'F'),2) two_sided_p_value\n FROM sh.customers c, sh.sales s\n WHERE c.cust_id = s.cust_id;","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:33+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":124,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"Z_STATISTIC":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"Z_STATISTIC\tTWO_SIDED_P_VALUE\n-0.78\t0.43\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1654369969","id":"20200915-183829_597806081","dateCreated":"2020-08-10T18:12:17+0000","dateStarted":"2020-09-15T23:45:34+0000","dateFinished":"2020-09-15T23:45:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:54"},{"title":"Conclusion of Mann Whitney Test","text":"%md\nSince the p-value is much larger than 0.05, we do not reject the hypothesis that the distributions of the amount sold in the two groups is the same. This means that the difference observed from the data is not significant. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:34+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Since the p-value is much larger than 0.05, we do not reject the hypothesis that the distributions of the amount sold in the two groups is the same. This means that the difference observed from the data is not significant.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-543947797","id":"20200915-183829_1789318956","dateCreated":"2020-08-13T00:48:12+0000","dateStarted":"2020-09-15T23:45:34+0000","dateFinished":"2020-09-15T23:45:34+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:55"},{"title":"Create a view that contains the income level and the amount sold to men and women","text":"%sql\nCREATE OR REPLACE VIEW INCOME_GENDER_SOLD_V AS\nSELECT SUBSTR(CUST_INCOME_LEVEL,1,22) INCOME_LEVEL, \n\tROUND(AVG(DECODE(CUST_GENDER,'M',AMOUNT_SOLD,NULL)),2) SOLD_TO_MEN, \n\tROUND(AVG(DECODE(CUST_GENDER,'F',AMOUNT_SOLD,NULL)),2) SOLD_TO_WOMEN\n FROM SH.CUSTOMERS C, SH.SALES S \n WHERE C.CUST_ID=S.CUST_ID \n AND SUBSTR(CUST_INCOME_LEVEL,1,22) IS NOT NULL\n GROUP BY CUST_INCOME_LEVEL","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:34+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[]},"interrupted":false,"jobName":"paragraph_1600195109762_447295373","id":"20200915-183829_1387342036","dateCreated":"2020-08-10T18:28:02+0000","dateStarted":"2020-09-15T23:45:35+0000","dateFinished":"2020-09-15T23:45:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:56"},{"title":"Display the view","text":"%sql\nSELECT * \nFROM INCOME_GENDER_SOLD_V","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:35+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"INCOME_LEVEL":"string","SOLD_TO_MEN":"string","SOLD_TO_WOMEN":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"INCOME_LEVEL\tSOLD_TO_MEN\tSOLD_TO_WOMEN\nE: 90,000 - 109,999\t103.4\t101.61\nJ: 190,000 - 249,999\t108.04\t115.34\nD: 70,000 - 89,999\t106.63\t110.47\nL: 300,000 and above\t120.97\t112.22\nC: 50,000 - 69,999\t105.63\t110.13\nG: 130,000 - 149,999\t108.88\t107.31\nH: 150,000 - 169,999\t110.99\t107.15\nB: 30,000 - 49,999\t102.6\t109.83\nI: 170,000 - 189,999\t102.81\t107.44\nF: 110,000 - 129,999\t106.76\t105.98\nA: Below 30,000\t105.28\t99.43\nK: 250,000 - 299,999\t112.38\t108.2\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1788799617","id":"20200915-183829_176363920","dateCreated":"2020-08-13T19:34:48+0000","dateStarted":"2020-09-15T23:45:35+0000","dateFinished":"2020-09-15T23:45:35+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:57"},{"title":"Using Wilcoxon Signed Ranks Test","text":"%md\nUsing Wilcoxon Signed Ranks test, see doc \nWilcoxon Signed Ranks test of paired samples to determine whether the median of the differences between the samples is significantly different from zero. The absolute values of the differences are ordered and assigned ranks. Then the null hypothesis states that the sum of the ranks of the positive differences is equal to the sum of the ranks of the negative differences.\n\nFor more information, see \n\nIn the following example, we go through each income level and obtain average amount sold to each gender group. We are interested to know whether there is a difference between the amount sold to men or women for each income level. WSR test focuses on the median of the differences of the amount sold in the two gender groups and do a hypothesis testing on whether the median is significantly different. The null hypothesis is that the median is the same. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:36+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using Wilcoxon Signed Ranks test, see doc https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions158.htm\n
Wilcoxon Signed Ranks test of paired samples to determine whether the median of the differences between the samples is significantly different from zero. The absolute values of the differences are ordered and assigned ranks. Then the null hypothesis states that the sum of the ranks of the positive differences is equal to the sum of the ranks of the negative differences.
\nFor more information, see https://en.wikipedia.org/wiki/Wilcoxon_signed-rank_test
\nIn the following example, we go through each income level and obtain average amount sold to each gender group. We are interested to know whether there is a difference between the amount sold to men or women for each income level. WSR test focuses on the median of the differences of the amount sold in the two gender groups and do a hypothesis testing on whether the median is significantly different. The null hypothesis is that the median is the same.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-500743137","id":"20200915-183829_661593349","dateCreated":"2020-08-10T23:28:40+0000","dateStarted":"2020-09-15T23:45:36+0000","dateFinished":"2020-09-15T23:45:36+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:58"},{"title":"Wilcoxon Signed Ranks Test for testing whether the median of the difference between the amount sold to men and amount sold to women is statistically different from zero ","text":"%sql\nSELECT ROUND(STATS_WSR_TEST(SOLD_TO_MEN, SOLD_TO_WOMEN, 'STATISTIC'),2) z_statistic,\n ROUND(STATS_WSR_TEST(SOLD_TO_MEN, SOLD_TO_WOMEN, 'TWO_SIDED_SIG'),2) two_sided_p_value\n FROM INCOME_GENDER_SOLD_V","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:36+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":114,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"Z_STATISTIC":"string","TWO_SIDED_P_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"Z_STATISTIC\tTWO_SIDED_P_VALUE\n-0.12\t0.91\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1049017281","id":"20200915-183829_2074915187","dateCreated":"2020-08-10T18:15:01+0000","dateStarted":"2020-09-15T23:45:36+0000","dateFinished":"2020-09-15T23:45:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:59"},{"title":"Conclusion of Conclusion of Mann Whitney Test","text":"%md\nThe p-value is much greater than 0.05. We do not reject the null hypothesis. This means that the difference between the median of the amount sold to two gender groups is not significant. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"The p-value is much greater than 0.05. We do not reject the null hypothesis. This means that the difference between the median of the amount sold to two gender groups is not significant.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1866368377","id":"20200915-183829_545313114","dateCreated":"2020-08-10T23:45:16+0000","dateStarted":"2020-09-15T23:45:37+0000","dateFinished":"2020-09-15T23:45:37+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:60"},{"title":"Using Pearson's correlation","text":"%md\nUsing Pearson's correlation coefficient, see doc . \nThis is most popular correlation coefficient and widely used for measuring correlation of a set of number pairs.\nFor more information, see ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:37+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using Pearson's correlation coefficient, see doc https://docs.oracle.com/database/121/SQLRF/functions042.htm#SQLRF00621.\n
This is most popular correlation coefficient and widely used for measuring correlation of a set of number pairs.\n
For more information, see https://en.wikipedia.org/wiki/Pearson_correlation_coefficient
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-2118845142","id":"20200915-183829_853345091","dateCreated":"2020-08-13T15:32:57+0000","dateStarted":"2020-09-15T23:45:38+0000","dateFinished":"2020-09-15T23:45:38+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:61"},{"title":"Compute the pearson's correlation between the amount sold to the two gender groups","text":"%sql\nSELECT ROUND(CORR(SOLD_TO_MEN, SOLD_TO_WOMEN),2) CORRELATION_COEF\nFROM INCOME_GENDER_SOLD_V","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:38+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":104,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CORRELATION_COEF":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CORRELATION_COEF\n0.38\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_686493121","id":"20200915-183829_1829091112","dateCreated":"2020-08-13T19:32:14+0000","dateStarted":"2020-09-15T23:45:38+0000","dateFinished":"2020-09-15T23:45:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:62"},{"title":"Using Spearman's rho correlation coefficient","text":"%md\nUsing Spearman's rho correlation coefficient, see doc \nSpearman's rho correlation coefficient can find the nonlinear relationship between two variables by focusing the rank of each variables. The Spearman's rho correlation also provides a significance indicator like the p-value. If p-value is small (< 0.05), then it means that there are significant corrleation between the two groups. \n\nFor more details, see \nIn the following example, we compute Spearman's rho coefficient between the income level and the amount sold to men and women. We check if the correlation between the amount sold and their income level is significant for men and women. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using Spearman's rho correlation coefficient, see doc https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions029.htm\n
Spearman's rho correlation coefficient can find the nonlinear relationship between two variables by focusing the rank of each variables. The Spearman's rho correlation also provides a significance indicator like the p-value. If p-value is small (< 0.05), then it means that there are significant corrleation between the two groups.
\nFor more details, see https://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient\n
In the following example, we compute Spearman's rho coefficient between the income level and the amount sold to men and women. We check if the correlation between the amount sold and their income level is significant for men and women.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1253191850","id":"20200915-183829_1941746898","dateCreated":"2020-08-13T19:37:08+0000","dateStarted":"2020-09-15T23:45:39+0000","dateFinished":"2020-09-15T23:45:39+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:63"},{"title":"Spearman's rho correlation coefficient for income level and the amount sold to men, income level and the amount sold to women","text":"%sql\nSELECT ROUND(CORR_S(INCOME_LEVEL, SOLD_TO_MEN, 'COEFFICIENT'),2) MEN_COEFFICIENT, \nROUND(CORR_S(INCOME_LEVEL, SOLD_TO_MEN, 'TWO_SIDED_SIG'),2) MEN_TWO_SIDED_SIG,\nROUND(CORR_S(INCOME_LEVEL, SOLD_TO_WOMEN, 'COEFFICIENT'),2) WOMEN_COEFFICIENT, \nROUND(CORR_S(INCOME_LEVEL, SOLD_TO_WOMEN, 'TWO_SIDED_SIG'),2) WOMEN_TWO_SIDED_SIG\nFROM INCOME_GENDER_SOLD_V\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:39+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":94,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MEN_COEFFICIENT":"string","MEN_TWO_SIDED_SIG":"string","WOMEN_COEFFICIENT":"string","WOMEN_TWO_SIDED_SIG":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MEN_COEFFICIENT\tMEN_TWO_SIDED_SIG\tWOMEN_COEFFICIENT\tWOMEN_TWO_SIDED_SIG\n0.71\t0.01\t0.38\t0.22\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-1138412896","id":"20200915-183829_1435542014","dateCreated":"2020-08-10T18:28:37+0000","dateStarted":"2020-09-15T23:45:40+0000","dateFinished":"2020-09-15T23:45:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:64"},{"title":"Conclusion of Spearman's rho correlation","text":"%md\nFor the correlation between the income level and the amount sold to men, the TWO_SIDED_SIG value is very small, which indicates the correlation between the income level and the amount sold to men has significant correlation. But for women, such a relationship is not significant. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:40+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"For the correlation between the income level and the amount sold to men, the TWO_SIDED_SIG value is very small, which indicates the correlation between the income level and the amount sold to men has significant correlation. But for women, such a relationship is not significant.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_1637992897","id":"20200915-183829_260925204","dateCreated":"2020-08-13T20:12:04+0000","dateStarted":"2020-09-15T23:45:40+0000","dateFinished":"2020-09-15T23:45:40+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:65"},{"title":"Using Kendall's tau-b correlation","text":"%md\nUsing Kendall's tau-b correlation, see doc . \nKendall's tau-b correlation coefficient also reveals the nonlinear relationship between two variables. To calculate the coefficient, the number of concordant and discordant pairs is computed. A pair of observations is concordant if the observation with the\nlarger x also has a larger value of y. A pair of observations is discordant if the observation with the larger x has a smaller y. \nThe Kendall's tau-b also provides a significance indicator like the p-value. If p-value is small (< 0.05), then it means that there are significant corrleation between the two groups. \nFor more information, see \nIn the following example, we compute Kendall's tau-b coefficient between the income level and the amount sold to men and women. We check if the correlation between the amount sold and their income level is significant for men and women. ","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:40+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Using Kendall's tau-b correlation, see doc https://docs.oracle.com/cd/B19306_01/server.102/b14200/functions029.htm.\n
Kendall's tau-b correlation coefficient also reveals the nonlinear relationship between two variables. To calculate the coefficient, the number of concordant and discordant pairs is computed. A pair of observations is concordant if the observation with the\n
larger x also has a larger value of y. A pair of observations is discordant if the observation with the larger x has a smaller y.\n
The Kendall's tau-b also provides a significance indicator like the p-value. If p-value is small (< 0.05), then it means that there are significant corrleation between the two groups.\n
For more information, see https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient\n
In the following example, we compute Kendall's tau-b coefficient between the income level and the amount sold to men and women. We check if the correlation between the amount sold and their income level is significant for men and women.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-270367624","id":"20200915-183829_1332817210","dateCreated":"2020-08-13T20:17:03+0000","dateStarted":"2020-09-15T23:45:41+0000","dateFinished":"2020-09-15T23:45:41+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:66"},{"title":"Kendall's tau-b correlation coefficient for income level and the amount sold to men, income level and the amount sold to women","text":"%sql\nSELECT ROUND(CORR_K(INCOME_LEVEL, SOLD_TO_MEN, 'COEFFICIENT'),2) MEN_COEFFICIENT, ROUND(CORR_K(INCOME_LEVEL, SOLD_TO_MEN, 'TWO_SIDED_SIG'),2) MEN_TWO_SIDED_SIG,\nROUND(CORR_K(INCOME_LEVEL, SOLD_TO_WOMEN, 'COEFFICIENT'),2) WOMEN_COEFFICIENT, ROUND(CORR_K(INCOME_LEVEL, SOLD_TO_WOMEN, 'TWO_SIDED_SIG'),2) WOMEN_TWO_SIDED_SIG\nFROM INCOME_GENDER_SOLD_V","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:41+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":124,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"MEN_COEFFICIENT":"string","MEN_TWO_SIDED_SIG":"string","WOMEN_COEFFICIENT":"string","WOMEN_TWO_SIDED_SIG":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"MEN_COEFFICIENT\tMEN_TWO_SIDED_SIG\tWOMEN_COEFFICIENT\tWOMEN_TWO_SIDED_SIG\n0.61\t0.01\t0.36\t0.1\n"}]},"interrupted":false,"jobName":"paragraph_1600195109762_-920449218","id":"20200915-183829_1501370914","dateCreated":"2020-08-10T18:34:55+0000","dateStarted":"2020-09-15T23:45:41+0000","dateFinished":"2020-09-15T23:45:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:67"},{"title":"Conclusion for Kendall's tau-b correlation","text":"%md\nFor the correlation between the income level and the amount sold to men, the TWO_SIDED_SIG value is very small, which indicates the correlation between the income level and the amount sold to men has significant correlation. But for women, such a relationship is not significant.\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:42+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"For the correlation between the income level and the amount sold to men, the TWO_SIDED_SIG value is very small, which indicates the correlation between the income level and the amount sold to men has significant correlation. But for women, such a relationship is not significant.
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109763_184103356","id":"20200915-183829_162717602","dateCreated":"2020-08-14T01:20:12+0000","dateStarted":"2020-09-15T23:45:42+0000","dateFinished":"2020-09-15T23:45:42+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:68"},{"text":"%md\n# End of script\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:45:42+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"End of script
\n"}]},"interrupted":false,"jobName":"paragraph_1600195109763_-309744805","id":"20200915-183829_1835248711","dateCreated":"2020-08-14T02:50:23+0000","dateStarted":"2020-09-15T23:45:43+0000","dateFinished":"2020-09-15T23:45:43+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:69"}],"name":"OML4SQL Statistical Functions","id":"468025","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
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diff --git a/machine-learning/notebooks/sql/OML4SQL_Text_Mining.json b/machine-learning/notebooks/sql/OML4SQL_Text_Mining.json
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@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n## Building Model using Text Mining Capability in Oracle Machine Learning \nOracle Machine Learning not only handles structured data, but also enables automatically building an model based on unstructured data like text. By leveraging Oracle Text functionality, useful features can be automatically extracted from the text column and then picked up to build the model automatically.\n\nIn this notebook, we build an SVM model to predict customers most likely to be positive responders to an Affinity Card loyalty program. The data comes with a text column that contains user comments. With a few extra queries, the model automatically utilizes the text column in the dataset and build model on both structured and unstructured columns from the table.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:10+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"title":false},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Building Model using Text Mining Capability in Oracle Machine Learning
\nOracle Machine Learning not only handles structured data, but also enables automatically building an model based on unstructured data like text. By leveraging Oracle Text functionality, useful features can be automatically extracted from the text column and then picked up to build the model automatically.
\nIn this notebook, we build an SVM model to predict customers most likely to be positive responders to an Affinity Card loyalty program. The data comes with a text column that contains user comments. With a few extra queries, the model automatically utilizes the text column in the dataset and build model on both structured and unstructured columns from the table.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_2133289110","id":"20200915-183830_788674424","dateCreated":"2020-06-05T19:27:52+0000","dateStarted":"2020-09-15T23:47:10+0000","dateFinished":"2020-09-15T23:47:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:98"},{"title":"For more information...","text":"%md\r\nOracle ADW Documentation \r\nOML folder on Oracle Github \r\nOML web page: \r\nOML Text Mining: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:11+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Oracle Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Text Mining: https://docs.oracle.com/en/database/oracle/oracle-database/19/dmapi/mining-unstructured-text.html
\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_248166596","id":"20200915-183830_361968425","dateCreated":"2020-06-10T19:22:09+0000","dateStarted":"2020-09-15T23:47:11+0000","dateFinished":"2020-09-15T23:47:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:99"},{"title":"Prepare data","text":"%script\n\nCREATE OR REPLACE VIEW mining_data AS\nSELECT\n a.CUST_ID, a.CUST_GENDER,\n 2003-a.CUST_YEAR_OF_BIRTH AGE,\n a.CUST_MARITAL_STATUS, c.COUNTRY_NAME, a.CUST_INCOME_LEVEL, b.EDUCATION,\n b.OCCUPATION, b.HOUSEHOLD_SIZE, b.YRS_RESIDENCE, b.AFFINITY_CARD,\n b.BULK_PACK_DISKETTES, b.FLAT_PANEL_MONITOR, b.HOME_THEATER_PACKAGE,\n b.BOOKKEEPING_APPLICATION, b.PRINTER_SUPPLIES, b.Y_BOX_GAMES,\n b.os_doc_set_kanji, b.comments \nFROM\n sh.customers a,\n sh.supplementary_demographics b,\n sh.countries c\nWHERE\n a.CUST_ID = b.CUST_ID\n AND a.country_id = c.country_id\n AND a.cust_id between 100001 and 104500;\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:11+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView MINING_DATA created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-845223058","id":"20200915-183830_255671729","dateCreated":"2020-06-05T15:58:25+0000","dateStarted":"2020-09-15T23:47:11+0000","dateFinished":"2020-09-15T23:47:11+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:100"},{"title":"Create the view of train dataset","text":"%script\n\nCREATE OR REPLACE VIEW mining_train_text AS\nSELECT *\nFROM mining_data\nWHERE cust_id between 101501 and 103000;\n/\nCREATE OR REPLACE VIEW mining_test_text AS\nSELECT *\nFROM mining_data\nWHERE cust_id between 100001 and 101500;\n/","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:11+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView MINING_TRAIN_TEXT created.\n\n\n---------------------------\n\n---------------------------\n\nView MINING_TEST_TEXT created.\n\n\n---------------------------\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-834698038","id":"20200915-183830_1141173454","dateCreated":"2020-06-05T17:49:21+0000","dateStarted":"2020-09-15T23:47:12+0000","dateFinished":"2020-09-15T23:47:12+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:101"},{"title":"Check the text column","text":"%sql\n\nSELECT CUST_ID, COMMENTS \nFROM mining_train_text\nWHERE COMMENTS IS NOT NULL\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:12+0000","config":{"colWidth":4,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","COMMENTS":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tCOMMENTS\n102760\tI love the new on-line documentation.\n101602\tI love the new on-line documentation.\n101890\tI love the new on-line documentation.\n101624\tI love the new on-line documentation.\n101724\tI love the new on-line documentation.\n102976\tI love the new on-line documentation.\n102344\tI love the new on-line documentation.\n102672\tI love the new on-line documentation.\n101979\tI love the new on-line documentation.\n102255\tI love the new on-line documentation.\n101675\tI love the new on-line documentation.\n102146\tI love the new on-line documentation.\n102639\tI love the new on-line documentation.\n102327\tI love the new on-line documentation.\n101977\tI love the new on-line documentation.\n102872\tI love the new on-line documentation.\n102234\tI love the new on-line documentation.\n101820\tI love the new on-line documentation.\n102369\tI love the new on-line documentation.\n102313\tI love the new on-line documentation.\n102558\tI love the new on-line documentation.\n101880\tI love the new on-line documentation.\n102291\tI love the new on-line documentation.\n102456\tI love the new on-line documentation.\n102191\tI love the new on-line documentation.\n102781\tI love the new on-line documentation.\n102782\tI love the new on-line documentation.\n102686\tI love the new on-line documentation.\n102693\tI love the new on-line documentation.\n102691\tI love the new on-line documentation.\n102745\tI love the new on-line documentation.\n101753\tI love the new on-line documentation.\n102061\tI love the new on-line documentation.\n102162\tI love the new on-line documentation.\n101915\tI love the new on-line documentation.\n102454\tI love the new on-line documentation.\n102213\tI love the new on-line documentation.\n102121\tI love the new on-line documentation.\n102810\tI love it. Will never shop at other shops again!\n101565\tI love it. Will never shop at other shops again!\n102695\tI love it. Will never shop at other shops again!\n102881\tI love it. Will never shop at other shops again!\n101755\tI love it. Will never shop at other shops again!\n102855\tI love it. Will never shop at other shops again!\n102161\tI love it. Will never shop at other shops again!\n101917\tI love it. Will never shop at other shops again!\n102679\tI love it. Will never shop at other shops again!\n101747\tI love it. Will never shop at other shops again!\n102499\tI love it. Will never shop at other shops again!\n102670\tI love it. Will never shop at other shops again!\n101708\tI love it. Will never shop at other shops again!\n101817\tI love it. Will never shop at other shops again!\n102210\tI love it. Will never shop at other shops again!\n102280\tA great idea. Thank you! Signed, happy in Texas\n101912\tA great idea. Thank you! Signed, happy in Texas\n102023\tA great idea. Thank you! Signed, happy in Texas\n102220\tA great idea. Thank you! Signed, happy in Texas\n101991\tA great idea. Thank you! Signed, happy in Texas\n101737\tA great idea. Thank you! Signed, happy in Texas\n101780\tA great idea. Thank you! Signed, happy in Texas\n101793\tA great idea. Thank you! Signed, happy in Texas\n102616\tA great idea. Thank you! Signed, happy in Texas\n102519\tA great idea. Thank you! Signed, happy in Texas\n101781\tA great idea. Thank you! Signed, happy in Texas\n102595\tA great idea. Thank you! Signed, happy in Texas\n102461\tA great idea. Thank you! Signed, happy in Texas\n102634\tA great idea. Thank you! Signed, happy in Texas\n101813\tA great idea. Thank you! Signed, happy in Texas\n102075\tA great idea. Thank you! Signed, happy in Texas\n102979\tA great idea. Thank you! Signed, happy in Texas\n101541\tA great idea. Thank you! Signed, happy in Texas\n102539\tA great idea. Thank you! Signed, happy in Texas\n102382\tThank you, But please remove my name from your list.\n102520\tThank you, But please remove my name from your list.\n102682\tThank you, But please remove my name from your list.\n102318\tThank you, But please remove my name from your list.\n102593\tThank you, But please remove my name from your list.\n102582\tThank you, But please remove my name from your list.\n102018\tThank you, But please remove my name from your list.\n102909\tThank you, But please remove my name from your list.\n101930\tThank you, But please remove my name from your list.\n102143\tThank you, But please remove my name from your list.\n102317\tThank you, But please remove my name from your list.\n102373\tThank you, But please remove my name from your list.\n101608\tThank you, But please remove my name from your list.\n102673\tThank you, But please remove my name from your list.\n102912\tThank you, But please remove my name from your list.\n102957\tThank you, But please remove my name from your list.\n102647\tThank you, But please remove my name from your list.\n101729\tThank you, But please remove my name from your list.\n102336\tThank you, But please remove my name from your list.\n102509\tThank you, But please remove my name from your list.\n102738\tThank you, But please remove my name from your list.\n102924\tThank you, But please remove my name from your list.\n102298\tThank you, But please remove my name from your list.\n102811\tThank you, But please remove my name from your list.\n101964\tThank you, But please remove my name from your list.\n102233\tThank you, But please remove my name from your list.\n101524\tThank you, But please remove my name from your list.\n101554\tThank you, But please remove my name from your list.\n102971\tThank you, But please remove my name from your list.\n101974\tThank you, But please remove my name from your list.\n102183\tThank you, But please remove my name from your list.\n102677\tThank you, But please remove my name from your list.\n102432\tThank you, But please remove my name from your list.\n102074\tThank you, But please remove my name from your list.\n101740\tThank you, But please remove my name from your list.\n102051\tThank you, But please remove my name from your list.\n102372\tThank you, But please remove my name from your list.\n102229\tThank you, But please remove my name from your list.\n102287\tThank you, But please remove my name from your list.\n102805\tThank you, But please remove my name from your list.\n102652\tThank you, But please remove my name from your list.\n102218\tThank you, But please remove my name from your list.\n101752\tI shop your store a lot. I love your weekly specials.\n101568\tI shop your store a lot. I love your weekly specials.\n102714\tI shop your store a lot. I love your weekly specials.\n102820\tI shop your store a lot. I love your weekly specials.\n101545\tI shop your store a lot. I love your weekly specials.\n101539\tI shop your store a lot. I love your weekly specials.\n101508\tI shop your store a lot. I love your weekly specials.\n102042\tI shop your store a lot. I love your weekly specials.\n102549\tI shop your store a lot. I love your weekly specials.\n102237\tI shop your store a lot. I love your weekly specials.\n101591\tI shop your store a lot. I love your weekly specials.\n101943\tI shop your store a lot. I love your weekly specials.\n102825\tI shop your store a lot. I love your weekly specials.\n102144\tI shop your store a lot. I love your weekly specials.\n101961\tI shop your store a lot. I love your weekly specials.\n101656\tI shop your store a lot. I love your weekly specials.\n102865\tI shop your store a lot. I love your weekly specials.\n102921\tI shop your store a lot. I love your weekly specials.\n102356\tI shop your store a lot. I love your weekly specials.\n102288\tI shop your store a lot. I love your weekly specials.\n101537\tI shop your store a lot. I love your weekly specials.\n102860\tI shop your store a lot. I love your weekly specials.\n102592\tI shop your store a lot. I love your weekly specials.\n102611\tI shop your store a lot. I love your weekly specials.\n102913\tI shop your store a lot. I love your weekly specials.\n102735\tI shop your store a lot. I love your weekly specials.\n101604\tI shop your store a lot. I love your weekly specials.\n101986\tI shop your store a lot. I love your weekly specials.\n101521\tI shop your store a lot. I love your weekly specials.\n101847\tI shop your store a lot. I love your weekly specials.\n101709\tI shop your store a lot. I love your weekly specials.\n102537\tI shop your store a lot. I love your weekly specials.\n102846\tI shop your store a lot. I love your weekly specials.\n102835\tI shop your store a lot. I love your weekly specials.\n102357\tI shop your store a lot. I love your weekly specials.\n102532\tI shop your store a lot. I love your weekly specials.\n102848\tI shop your store a lot. I love your weekly specials.\n101610\tGreat program. Love the discount. Signed happy customer.\n102986\tGreat program. Love the discount. Signed happy customer.\n102410\tGreat program. Love the discount. Signed happy customer.\n102599\tGreat program. Love the discount. Signed happy customer.\n102115\tGreat program. Love the discount. Signed happy customer.\n102207\tGreat program. Love the discount. Signed happy customer.\n102199\tGreat program. Love the discount. Signed happy customer.\n101714\tGreat program. Love the discount. Signed happy customer.\n102427\tGreat program. Love the discount. Signed happy customer.\n101921\tGreat program. Love the discount. Signed happy customer.\n102590\tGreat program. Love the discount. Signed happy customer.\n102597\tGreat program. Love the discount. Signed happy customer.\n101658\tGreat program. Love the discount. Signed happy customer.\n102584\tGreat program. Love the discount. Signed happy customer.\n102259\tGreat program. Love the discount. Signed happy customer.\n101929\tGreat program. Love the discount. Signed happy customer.\n101843\tGreat program. Love the discount. Signed happy customer.\n102458\tGreat program. Love the discount. Signed happy customer.\n102990\tGreat program. Love the discount. Signed happy customer.\n102896\tGreat program. Love the discount. Signed happy customer.\n102390\tGreat program. Love the discount. Signed happy customer.\n102555\tGreat program. Love the discount. Signed happy customer.\n102004\tGreat program. Love the discount. Signed happy customer.\n102585\tGreat program. Love the discount. Signed happy customer.\n102918\tGreat program. Love the discount. Signed happy customer.\n101685\tGreat program. Love the discount. Signed happy customer.\n102763\tGreat program. Love the discount. Signed happy customer.\n102419\tGreat program. Love the discount. Signed happy customer.\n102209\tGreat program. Love the discount. Signed happy customer.\n102857\tGreat program. Love the discount. Signed happy customer.\n101857\tGreat program. Love the discount. Signed happy customer.\n102701\tGreat program. Love the discount. Signed happy customer.\n102035\tGreat program. Love the discount. Signed happy customer.\n102299\tGreat program. Love the discount. Signed happy customer.\n101750\tGreat program. Love the discount. Signed happy customer.\n101919\tGreat program. Love the discount. Signed happy customer.\n101597\tI love the discounts. But I mostly end upbuying things I do not need.\n101631\tI love the discounts. But I mostly end upbuying things I do not need.\n102315\tI love the discounts. But I mostly end upbuying things I do not need.\n102870\tI love the discounts. But I mostly end upbuying things I do not need.\n101779\tI love the discounts. But I mostly end upbuying things I do not need.\n102308\tI love the discounts. But I mostly end upbuying things I do not need.\n102526\tI love the discounts. But I mostly end upbuying things I do not need.\n102231\tI love the discounts. But I mostly end upbuying things I do not need.\n101985\tI love the discounts. But I mostly end upbuying things I do not need.\n101920\tI love the discounts. But I mostly end upbuying things I do not need.\n102516\tI love the discounts. But I mostly end upbuying things I do not need.\n102274\tI love the discounts. But I mostly end upbuying things I do not need.\n101895\tI love the discounts. But I mostly end upbuying things I do not need.\n101994\tI love the discounts. But I mostly end upbuying things I do not need.\n101637\tI love the discounts. But I mostly end upbuying things I do not need.\n102983\tI love the discounts. But I mostly end upbuying things I do not need.\n102625\tI love the discounts. But I mostly end upbuying things I do not need.\n102768\tI love the discounts. But I mostly end upbuying things I do not need.\n102482\tI love the discounts. But I mostly end upbuying things I do not need.\n102059\tI love the discounts. But I mostly end upbuying things I do not need.\n102944\tI love the discounts. But I mostly end upbuying things I do not need.\n101638\tI love the discounts. But I mostly end upbuying things I do not need.\n102756\tI love the discounts. But I mostly end upbuying things I do not need.\n101710\tI love the discounts. But I mostly end upbuying things I do not need.\n102864\tI love the discounts. But I mostly end upbuying things I do not need.\n101623\tI love the discounts. But I mostly end upbuying things I do not need.\n102411\tI love the discounts. But I mostly end upbuying things I do not need.\n101957\tI love the discounts. But I mostly end upbuying things I do not need.\n101522\tIf I forget my affinity card, can I still shop here and get the discount?\n102882\tIf I forget my affinity card, can I still shop here and get the discount?\n102242\tIf I forget my affinity card, can I still shop here and get the discount?\n102394\tIf I forget my affinity card, can I still shop here and get the discount?\n102868\tIf I forget my affinity card, can I still shop here and get the discount?\n102850\tIf I forget my affinity card, can I still shop here and get the discount?\n102501\tIf I forget my affinity card, can I still shop here and get the discount?\n101735\tIf I forget my affinity card, can I still shop here and get the discount?\n102731\tIf I forget my affinity card, can I still shop here and get the discount?\n101699\tIf I forget my affinity card, can I still shop here and get the discount?\n101679\tIf I forget my affinity card, can I still shop here and get the discount?\n102641\tIf I forget my affinity card, can I still shop here and get the discount?\n102230\tIf I forget my affinity card, can I still shop here and get the discount?\n102112\tIf I forget my affinity card, can I still shop here and get the discount?\n102708\tIf I forget my affinity card, can I still shop here and get the discount?\n102418\tIf I forget my affinity card, can I still shop here and get the discount?\n102468\tIf I forget my affinity card, can I still shop here and get the discount?\n102165\tIf I forget my affinity card, can I still shop here and get the discount?\n102919\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102324\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102994\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102796\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102275\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102643\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101826\tThank you! But I am very unhappy with all the junk mail you keep sending.\n102720\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101694\tThank you! But I am very unhappy with all the junk mail you keep sending.\n101905\tDon't send me any more promotions. I get too much lousy junk mail already\n101588\tDon't send me any more promotions. I get too much lousy junk mail already\n101896\tDon't send me any more promotions. I get too much lousy junk mail already\n102807\tDon't send me any more promotions. I get too much lousy junk mail already\n101628\tDon't send me any more promotions. I get too much lousy junk mail already\n102054\tDon't send me any more promotions. I get too much lousy junk mail already\n102337\tDon't send me any more promotions. I get too much lousy junk mail already\n102328\tDon't send me any more promotions. I get too much lousy junk mail already\n102043\tDon't send me any more promotions. I get too much lousy junk mail already\n102822\tDon't send me any more promotions. I get too much lousy junk mail already\n101936\tDon't send me any more promotions. I get too much lousy junk mail already\n102292\tDon't send me any more promotions. I get too much lousy junk mail already\n102800\tDon't send me any more promotions. I get too much lousy junk mail already\n102988\tDon't send me any more promotions. I get too much lousy junk mail already\n101953\tDon't send me any more promotions. I get too much lousy junk mail already\n102799\tDon't send me any more promotions. I get too much lousy junk mail already\n102776\tDon't send me any more promotions. I get too much lousy junk mail already\n102659\tDon't send me any more promotions. I get too much lousy junk mail already\n102113\tDon't send me any more promotions. I get too much lousy junk mail already\n101634\tDon't send me any more promotions. I get too much lousy junk mail already\n102750\tDon't send me any more promotions. I get too much lousy junk mail already\n102335\tDon't send me any more promotions. I get too much lousy junk mail already\n101768\tDon't send me any more promotions. I get too much lousy junk mail already\n102920\tDon't send me any more promotions. I get too much lousy junk mail already\n102631\tDon't send me any more promotions. I get too much lousy junk mail already\n101955\tDon't send me any more promotions. I get too much lousy junk mail already\n101646\tDon't send me any more promotions. I get too much lousy junk mail already\n101516\tDon't send me any more promotions. I get too much lousy junk mail already\n102531\tDon't send me any more promotions. I get too much lousy junk mail already\n102071\tDon't send me any more promotions. I get too much lousy junk mail already\n102492\tDon't send me any more promotions. I get too much lousy junk mail already\n102675\tDon't send me any more promotions. I get too much lousy junk mail already\n102170\tDon't send me any more promotions. I get too much lousy junk mail already\n102152\tDon't send me any more promotions. I get too much lousy junk mail already\n102964\tDon't send me any more promotions. I get too much lousy junk mail already\n102982\tDon't send me any more promotions. I get too much lousy junk mail already\n102984\tDon't send me any more promotions. I get too much lousy junk mail already\n101540\tDon't send me any more promotions. I get too much lousy junk mail already\n102483\tDon't send me any more promotions. I get too much lousy junk mail already\n102118\tDon't send me any more promotions. I get too much lousy junk mail already\n101583\tDon't send me any more promotions. I get too much lousy junk mail already\n102241\tDon't send me any more promotions. I get too much lousy junk mail already\n101669\tDon't send me any more promotions. I get too much lousy junk mail already\n102094\tDon't send me any more promotions. I get too much lousy junk mail already\n101518\tDon't send me any more promotions. I get too much lousy junk mail already\n102736\tDon't send me any more promotions. I get too much lousy junk mail already\n101926\tI am not going to waste my time filling up this three page form. Lousy idea.\n101984\tI am not going to waste my time filling up this three page form. Lousy idea.\n102409\tI am not going to waste my time filling up this three page form. Lousy idea.\n101576\tI am not going to waste my time filling up this three page form. Lousy idea.\n102828\tI am not going to waste my time filling up this three page form. Lousy idea.\n102707\tI am not going to waste my time filling up this three page form. Lousy idea.\n102039\tI am not going to waste my time filling up this three page form. Lousy idea.\n101960\tI am not going to waste my time filling up this three page form. Lousy idea.\n102704\tI am not going to waste my time filling up this three page form. Lousy idea.\n102793\tI am not going to waste my time filling up this three page form. Lousy idea.\n101993\tI am not going to waste my time filling up this three page form. Lousy idea.\n102426\tI am not going to waste my time filling up this three page form. Lousy idea.\n101939\tI am not going to waste my time filling up this three page form. Lousy idea.\n102116\tI am not going to waste my time filling up this three page form. Lousy idea.\n102206\tI am not going to waste my time filling up this three page form. Lousy idea.\n102185\tI am not going to waste my time filling up this three page form. Lousy idea.\n102867\tI am not going to waste my time filling up this three page form. Lousy idea.\n102197\tI am not going to waste my time filling up this three page form. Lousy idea.\n102276\tI am not going to waste my time filling up this three page form. Lousy idea.\n101581\tI am not going to waste my time filling up this three page form. Lousy idea.\n102719\tI am not going to waste my time filling up this three page form. Lousy idea.\n101534\tI am not going to waste my time filling up this three page form. Lousy idea.\n102416\tI am not going to waste my time filling up this three page form. Lousy idea.\n102380\tI am not going to waste my time filling up this three page form. Lousy idea.\n102515\tI am not going to waste my time filling up this three page form. Lousy idea.\n102013\tI am not going to waste my time filling up this three page form. Lousy idea.\n102518\tI am not going to waste my time filling up this three page form. Lousy idea.\n102960\tI am not going to waste my time filling up this three page form. Lousy idea.\n102578\tI am not going to waste my time filling up this three page form. Lousy idea.\n102651\tI am not going to waste my time filling up this three page form. Lousy idea.\n102107\tI am not going to waste my time filling up this three page form. Lousy idea.\n102388\tI am not going to waste my time filling up this three page form. Lousy idea.\n101702\tI am not going to waste my time filling up this three page form. Lousy idea.\n101601\tI am not going to waste my time filling up this three page form. Lousy idea.\n102676\tI am not going to waste my time filling up this three page form. Lousy idea.\n102785\tI am not going to waste my time filling up this three page form. Lousy idea.\n102687\tI am not going to waste my time filling up this three page form. Lousy idea.\n101703\tI am not going to waste my time filling up this three page form. Lousy idea.\n102620\tI am not going to waste my time filling up this three page form. Lousy idea.\n101734\tI am not going to waste my time filling up this three page form. Lousy idea.\n102873\tI am not going to waste my time filling up this three page form. Lousy idea.\n102601\tI am not going to waste my time filling up this three page form. Lousy idea.\n101967\tI am not going to waste my time filling up this three page form. Lousy idea.\n102834\tThanks but even with your discounts, your products are too expensive. Sorry.\n101571\tThanks but even with your discounts, your products are too expensive. Sorry.\n101674\tThanks but even with your discounts, your products are too expensive. Sorry.\n101903\tThanks but even with your discounts, your products are too expensive. Sorry.\n101725\tThanks but even with your discounts, your products are too expensive. Sorry.\n102403\tThanks but even with your discounts, your products are too expensive. Sorry.\n102149\tThanks but even with your discounts, your products are too expensive. Sorry.\n101563\tThanks but even with your discounts, your products are too expensive. Sorry.\n102256\tThanks but even with your discounts, your products are too expensive. Sorry.\n102211\tThanks but even with your discounts, your products are too expensive. Sorry.\n102012\tThanks but even with your discounts, your products are too expensive. Sorry.\n101815\tThanks but even with your discounts, your products are too expensive. Sorry.\n101744\tThanks but even with your discounts, your products are too expensive. Sorry.\n101668\tThanks but even with your discounts, your products are too expensive. Sorry.\n102712\tThanks but even with your discounts, your products are too expensive. Sorry.\n102367\tThanks but even with your discounts, your products are too expensive. Sorry.\n101764\tThanks but even with your discounts, your products are too expensive. Sorry.\n102927\tThanks but even with your discounts, your products are too expensive. Sorry.\n102423\tThanks but even with your discounts, your products are too expensive. Sorry.\n101836\tThanks but even with your discounts, your products are too expensive. Sorry.\n101962\tThanks but even with your discounts, your products are too expensive. Sorry.\n102709\tThanks but even with your discounts, your products are too expensive. Sorry.\n102688\tThanks but even with your discounts, your products are too expensive. Sorry.\n102741\tThanks but even with your discounts, your products are too expensive. Sorry.\n102743\tThanks but even with your discounts, your products are too expensive. Sorry.\n101573\tThanks but even with your discounts, your products are too expensive. Sorry.\n101513\tThanks but even with your discounts, your products are too expensive. Sorry.\n102511\tThanks but even with your discounts, your products are too expensive. Sorry.\n102942\tThanks but even with your discounts, your products are too expensive. Sorry.\n102215\tThanks but even with your discounts, your products are too expensive. Sorry.\n101849\tThanks but even with your discounts, your products are too expensive. Sorry.\n102056\tThanks but even with your discounts, your products are too expensive. Sorry.\n102508\tThanks but even with your discounts, your products are too expensive. Sorry.\n101680\tThanks but even with your discounts, your products are too expensive. Sorry.\n102668\tThanks but even with your discounts, your products are too expensive. Sorry.\n101983\tThanks but even with your discounts, your products are too expensive. Sorry.\n102744\tThanks but even with your discounts, your products are too expensive. Sorry.\n102124\tThanks but even with your discounts, your products are too expensive. Sorry.\n101748\tThanks but even with your discounts, your products are too expensive. Sorry.\n102992\tThanks but even with your discounts, your products are too expensive. Sorry.\n102972\tThanks but even with your discounts, your products are too expensive. Sorry.\n101916\tThanks but even with your discounts, your products are too expensive. Sorry.\n102257\tThanks but even with your discounts, your products are too expensive. Sorry.\n102025\tThanks but even with your discounts, your products are too expensive. Sorry.\n101726\tThanks but even with your discounts, your products are too expensive. Sorry.\n101910\tThanks but even with your discounts, your products are too expensive. Sorry.\n101578\tThanks but even with your discounts, your products are too expensive. Sorry.\n101614\tThanks but even with your discounts, your products are too expensive. Sorry.\n102464\tThanks but even with your discounts, your products are too expensive. Sorry.\n102267\tThanks but even with your discounts, your products are too expensive. Sorry.\n102923\tThanks but even with your discounts, your products are too expensive. Sorry.\n101863\tThanks but even with your discounts, your products are too expensive. Sorry.\n102050\tThanks but even with your discounts, your products are too expensive. Sorry.\n102000\tThanks but even with your discounts, your products are too expensive. Sorry.\n101906\tThanks but even with your discounts, your products are too expensive. Sorry.\n102188\tThanks but even with your discounts, your products are too expensive. Sorry.\n102443\tThanks but even with your discounts, your products are too expensive. Sorry.\n101914\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102815\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n101854\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102764\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102823\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102733\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n101972\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n101828\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n101922\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102564\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n101538\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102082\tCan I apply my discount to a purchase I made last month? Excellent program. Thanks\n102392\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102073\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101941\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102630\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102225\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102858\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102721\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102575\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102495\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102769\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101692\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102970\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102175\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102907\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102402\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102622\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101966\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102477\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102715\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101653\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102434\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102945\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102951\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102839\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102240\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102941\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102831\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101859\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102648\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101689\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101557\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101551\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102754\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101676\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101899\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101730\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102087\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102557\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n101736\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102866\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102826\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102808\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102166\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102379\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102543\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102790\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102899\tCan I use my Affinity card to buy bulk purchases and ship them to my mother in Arizona?\n102208\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102137\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102038\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102181\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102070\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102154\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102545\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101683\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102296\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102163\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102863\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101809\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101804\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102759\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101528\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101590\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102078\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102663\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102159\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101670\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101579\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102003\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101872\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102574\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102020\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102662\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102550\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n102172\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101792\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101862\tA lousy idea. I threw your card away. If you want to know what I buy, I'll shop elsewhere.\n101778\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101934\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102431\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101940\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102554\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102703\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101772\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101992\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102485\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102363\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102355\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101852\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102930\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102028\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101853\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101911\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101684\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102702\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102888\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102632\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102104\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102725\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102491\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102843\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102779\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102140\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102325\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102304\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101999\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102700\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102713\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102678\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102780\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102929\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101861\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102285\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102801\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102205\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102048\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102415\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101732\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101807\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102479\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102126\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n102830\tHow much would it cost to upgrade my computer to the latest model you advertised this week?\n101837\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102340\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102196\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102232\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102040\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102987\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102177\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n101686\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n101763\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102131\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102435\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102910\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102653\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102494\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n101664\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n102967\tEven with the new 10% card, your prices are still too expensive. I am tired of your gimmicks.\n101650\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102478\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101525\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101874\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102718\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101908\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102108\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101552\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102739\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102628\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102854\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102301\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101864\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102132\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102565\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102364\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102559\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102322\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102093\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101774\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102422\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101607\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102216\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102091\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101897\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102877\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102076\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101811\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102031\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102247\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102660\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101712\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102148\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102573\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101821\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102378\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102282\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102346\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102417\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102732\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102765\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102133\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101655\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102077\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102122\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101770\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101879\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n101693\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102425\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102606\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102243\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102802\tMy brother uses the affinity card a lot. I think the competitor has better prices without it.\n102794\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n101988\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102961\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102699\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102307\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102496\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102309\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n101952\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102789\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n101662\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102999\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102155\tMy sister told me about your store and I was impressed. Now I use it for all my shopping here.\n102827\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101705\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102874\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101970\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101639\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102360\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101965\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102460\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101598\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101794\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102583\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102915\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102879\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102529\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102294\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102580\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101803\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101771\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102053\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102906\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101913\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101550\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102746\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102060\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n102572\tThe more times that I shop at your store, the more times I am impressed. Don't change anything\n101720\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101981\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102952\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102809\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101839\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101893\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101715\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101775\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102891\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102297\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102937\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102905\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101799\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101751\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101742\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102361\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102381\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102258\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102203\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102623\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102300\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102480\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102069\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101932\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102587\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102488\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102114\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102504\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101613\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102658\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102245\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102527\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102636\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102278\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n102974\tI just purchased a computer from your store last month. Why didn't you offer this discount then?\n101611\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101701\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101659\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102393\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101995\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101868\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102349\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102740\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102089\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101502\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102887\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102081\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102246\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102125\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101760\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101958\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101931\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101514\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102391\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101838\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102804\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101612\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102129\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102904\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102901\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101969\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102467\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102212\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101555\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102014\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102696\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101819\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102009\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102646\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102266\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101504\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102757\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101570\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102481\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101858\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102521\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102123\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101520\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102556\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102033\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101605\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101629\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102086\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101754\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102044\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102080\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101831\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102773\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101746\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102260\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102506\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101667\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101790\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102180\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n102657\tAffinity card is great. I think it is a hassle to have to remember to bring it in every time though.\n101510\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102370\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n101595\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n101530\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102250\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102788\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102624\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102182\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102817\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102306\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102978\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n102734\tCould you send an Affinity Card to my mother in France? Let me know and I'll send you here address.\n101665\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102778\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101632\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102032\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102586\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101950\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102771\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102398\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102871\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101938\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101589\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102513\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102310\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101856\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102090\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102359\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101818\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102176\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102151\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102883\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101968\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102065\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102262\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102533\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102072\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102343\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101758\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102021\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102965\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102047\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102490\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102510\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101647\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102991\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102851\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102844\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102083\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102022\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102345\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102486\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102097\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101564\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102374\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101515\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101533\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102462\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101592\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102981\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102946\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102690\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n101923\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102900\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102192\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102878\tI purchased the new mouse pads and love them. I also purchased one for my sister and one for my brother.\n102914\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102949\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102497\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102063\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102829\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102100\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101766\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102228\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102332\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101946\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102548\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102989\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102147\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102644\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101553\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102224\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102892\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101816\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102200\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102861\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102084\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102553\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101562\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102869\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102214\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102430\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101834\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102729\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102095\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n102027\tAffinity card is a great idea. But your store is still too expensive. I am tired of your lousy junk mail.\n101788\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102045\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102099\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102568\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102836\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101503\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102352\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102563\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102875\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102897\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101976\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102329\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102542\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102608\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101787\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101944\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102049\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101851\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102254\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101889\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101998\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102774\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102655\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101526\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102613\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102248\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102167\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102110\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102685\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102466\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101823\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102755\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102079\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102612\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102184\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102447\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102473\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101844\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102962\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102128\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102302\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101687\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101606\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n102235\tI purchased a new computer recently, but the manuals weren't included. Could you ship them to me directly?\n101886\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101696\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102975\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102342\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102067\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102605\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102195\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102819\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102202\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101600\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101618\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102333\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102142\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102845\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102226\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102376\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101721\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101697\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102908\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102609\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101505\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n102742\tWhy didn't you start a program like this before? Everyone else has been offering discounts like this for years.\n101997\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102777\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102638\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102954\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102174\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102698\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101761\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102664\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101830\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102413\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102339\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102530\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102305\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101657\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102889\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102387\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102064\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101543\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102902\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102096\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101887\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102570\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102450\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102472\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101531\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101937\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101717\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102362\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102842\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102525\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102476\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102633\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101506\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102261\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101882\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102588\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102681\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101654\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101536\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102034\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102444\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102062\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101833\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101786\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102617\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102853\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101898\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102058\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102876\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101575\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101888\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102977\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102272\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102459\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n102838\tForget it. I 'm not giving you all my personal information. I wish you'd give up and respect a customer's privacy.\n101924\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102862\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102969\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102385\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102438\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102880\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102428\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102406\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102400\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102098\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102484\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n101782\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102806\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102401\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n101559\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n102767\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n101885\tI don't like your new Affinity Card program. Too little, too late. I am very happy with your competitor's stores.\n101617\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102775\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102293\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101796\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101548\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101640\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102475\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102818\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102066\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102618\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102645\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101909\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101902\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102993\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101561\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102383\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102105\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101963\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102445\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101848\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101731\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101671\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102453\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n101596\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102153\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102500\tI am unhappy with the service at your store. Do not consider me a loyal customer just because I use your Affinity Card\n102943\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102109\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102448\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102455\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102598\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102265\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n101529\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n101759\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n101810\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102168\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102665\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102939\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n101925\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102751\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102158\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102268\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102016\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n102386\tThanks a lot for my new affinity card. I love the discounts and have since started shopping at your store for everything.\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_1988081480","id":"20200915-183830_2055449281","dateCreated":"2020-06-05T17:44:07+0000","dateStarted":"2020-09-15T23:47:12+0000","dateFinished":"2020-09-15T23:47:13+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:102"},{"title":"Drop/create policy needed to use Oracle Text","text":"%script\n\nBEGIN\n ctx_ddl.drop_policy('dmdemo_svm_policy');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nEXECUTE ctx_ddl.create_policy('dmdemo_svm_policy');","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:13+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_1243866332","id":"20200915-183830_1980093635","dateCreated":"2020-06-05T17:52:01+0000","dateStarted":"2020-09-15T23:47:13+0000","dateFinished":"2020-09-15T23:47:14+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:103"},{"title":"Drop and create model based on data with text column","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('T_SVM_Clas_sample');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\n xformlist dbms_data_mining_transform.TRANSFORM_LIST;\n\nBEGIN\n \n v_setlst(dbms_data_mining.algo_name) := dbms_data_mining.algo_support_vector_machines;\n v_setlst(dbms_data_mining.prep_auto) := dbms_data_mining.prep_auto_on;\n v_setlst(dbms_data_mining.svms_kernel_function) := dbms_data_mining.svms_linear;\n v_setlst(dbms_data_mining.svms_complexity_factor) := '100';\n v_setlst(dbms_data_mining.odms_text_policy_name) := 'DMDEMO_SVM_POLICY';\n \n v_setlst(dbms_data_mining.svms_solver) := dbms_data_mining.svms_solver_sgd;\n dbms_data_mining_transform.SET_TRANSFORM(\n xformlist, 'comments', null, 'comments', null, 'TEXT');\n DBMS_DATA_MINING.CREATE_MODEL2(\n model_name => 'T_SVM_Clas_sample',\n mining_function => dbms_data_mining.classification,\n data_query => 'select * from mining_train_text',\n set_list => v_setlst,\n case_id_column_name => 'cust_id',\n target_column_name => 'affinity_card',\n xform_list => xformlist);\nEND;\n/ \n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:14+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-1806009451","id":"20200915-183830_280211207","dateCreated":"2020-06-05T17:53:25+0000","dateStarted":"2020-09-15T23:47:14+0000","dateFinished":"2020-09-15T23:47:16+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:104"},{"title":"Display Model Settings","text":"%sql\n\nSELECT setting_name, setting_value\n FROM user_mining_model_settings\n WHERE model_name = 'T_SVM_CLAS_SAMPLE'\nORDER BY setting_name","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:16+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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the model and compute the lift","text":"%script\n\nBEGIN\n EXECUTE IMMEDIATE 'DROP TABLE MINING_APPLY_RESULT PURGE';\n EXECUTE IMMEDIATE 'DROP TABLE T_LIFT_TABLE PURGE';\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\n\nBEGIN\n DBMS_DATA_MINING.APPLY('T_SVM_Clas_sample','mining_test_text','CUST_ID','MINING_APPLY_RESULT');\n DBMS_DATA_MINING.COMPUTE_LIFT('MINING_APPLY_RESULT','mining_test_text','CUST_ID','AFFINITY_CARD',\n 'T_LIFT_TABLE','1','PREDICTION','PROBABILITY',100);\nEND;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:17+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-1903279865","id":"20200915-183830_335555158","dateCreated":"2020-06-05T19:04:08+0000","dateStarted":"2020-09-15T23:47:17+0000","dateFinished":"2020-09-15T23:47:18+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:106"},{"title":"Plot lift","text":"%sql\n\nSELECT QUANTILE_NUMBER, GAIN_CUMULATIVE FROM T_LIFT_TABLE;","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:22+0000","config":{"colWidth":6,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"multiBarChart","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"QUANTILE_NUMBER":"string","GAIN_CUMULATIVE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for 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9826589595375722543352601156069364E-01\n90\t1\n91\t1\n92\t1\n93\t1\n94\t1\n95\t1\n96\t1\n97\t1\n98\t1\n99\t1\n100\t1\n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-1759947973","id":"20200915-183830_1283151833","dateCreated":"2020-06-08T02:59:15+0000","dateStarted":"2020-09-15T23:47:19+0000","dateFinished":"2020-09-15T23:47:19+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:107"},{"title":"Check the attribute generated during model building. Note how several text terms extracted from the COMMENTs documents -- show up as influential predictors","text":"%sql\n\nSELECT * from \n(SELECT target_value, attribute_name, attribute_subname, \n attribute_value, coefficient,\n rank() over (order by abs(coefficient) desc) rnk\n FROM DM$VLT_SVM_CLAS_SAMPLE)\nWHERE rnk <= 10\nORDER BY rnk, attribute_name, attribute_subname;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:19+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"TARGET_VALUE":"string","ATTRIBUTE_NAME":"string","ATTRIBUTE_SUBNAME":"string","ATTRIBUTE_VALUE":"string","COEFFICIENT":"string","RNK":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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predictions","text":"%sql\n\nSELECT AFFINITY_CARD,\n PREDICTION(T_SVM_Clas_sample USING *) AS PREDICTION, \n ROUND(PREDICTION_PROBABILITY(T_SVM_Clas_sample, 1 USING *), 4) AS PREDICTION_PROBABILITY, \n CUST_ID, CUST_GENDER, AGE\n FROM mining_test_text\n ORDER BY PREDICTION_PROBABILITY desc\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:19+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"PREDICTION":"string","PREDICTION_PROBABILITY":"string","CUST_ID":"string","AFFINITY_CARD":"string","CUST_GENDER":"string","AGE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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prediction details","text":"%sql\n\nSELECT cust_id, pd FROM\n( SELECT cust_id, \n PREDICTION_DETAILS(T_SVM_Clas_sample, 1 USING *) pd,\n rank() over (order by PREDICTION_PROBABILITY(T_SVM_Clas_sample, 1 USING *) DESC, \n cust_id) rnk\n FROM mining_test_text)\nWHERE rnk <= 5\norder by rnk;","user":"OMLUSER","dateUpdated":"2020-09-15T23:47:21+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"CUST_ID":"string","PD":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"CUST_ID\tPD\n100962\t \n100210\t \n100573\t \n100668\t \n100309\t \n"}]},"interrupted":false,"jobName":"paragraph_1600195110095_-316089124","id":"20200915-183830_900937003","dateCreated":"2020-06-05T17:40:15+0000","dateStarted":"2020-09-15T23:47:21+0000","dateFinished":"2020-09-15T23:47:21+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:110"}],"name":"OML4SQL Text Mining","id":"468027","noteParams":{},"noteForms":{},"angularObjects":{"MDW381939C745:shared_process":[],"ORACE04E7522F:shared_process":[]},"config":{"looknfeel":"default","personalizedMode":"false"},"info":{}}
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+++ b/machine-learning/notebooks/sql/OML4SQL_Time_Series.json
@@ -0,0 +1 @@
+{"paragraphs":[{"text":"%md\n## Forecasting Sales Using Exponential Smoothing Algorithm for Time Series Data\n\nOracle Machine Learning supports time series forecasting via the Exponential Smoothing algorithm within Oracle Autonomous Database. This sales forecasting example is based on the SH.SALES example data. All computations occur inside Oracle Autonomous Database.\n\n\nCopyright (c) 2020 Oracle Corporation \n###### [The Universal Permissive License (UPL), Version 1.0](https://oss.oracle.com/licenses/upl/)\n---","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:44+0000","config":{"colWidth":10,"graph":{"mode":"table","height":300,"optionOpen":false,"keys":[],"values":[],"groups":[],"scatter":{}},"enabled":true,"editorMode":"ace/mode/markdown","results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorHide":true,"tableHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Forecasting Sales Using Exponential Smoothing Algorithm for Time Series Data
\nOracle Machine Learning supports time series forecasting via the Exponential Smoothing algorithm within Oracle Autonomous Database. This sales forecasting example is based on the SH.SALES example data. All computations occur inside Oracle Autonomous Database.
\nCopyright (c) 2020 Oracle Corporation
\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_2133284215","id":"20200915-183830_1583425923","dateCreated":"2019-01-14T22:00:57+0000","dateStarted":"2020-09-15T23:51:44+0000","dateFinished":"2020-09-15T23:51:44+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"focus":true,"$$hashKey":"object:98"},{"text":"%md\n\n![\"OML](\"http://www.oracle.com/technetwork/database/options/advanced-analytics/timeseries-5663161.jpg\")
\n
\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:44+0000","config":{"colWidth":2,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":114.028,"optionOpen":false}}},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","editorHide":true,"tableHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"\n\n
\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1762328382","id":"20200915-183830_1011161744","dateCreated":"2019-04-14T23:12:39+0000","dateStarted":"2020-09-15T23:51:45+0000","dateFinished":"2020-09-15T23:51:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:99"},{"title":"For more information...","text":"%md \n\nOracle ADW Documentation \nOML folder on Github \nOML web page: \nOML Time Series documentation: ","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:45+0000","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"md","editOnDblClick":false},"editorMode":"ace/mode/markdown","title":true,"editorHide":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"Oracle ADW Documentation https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/index.html\n
OML folder on Github https://github.com/oracle/oracle-db-examples/tree/master/machine-learning\n
OML web page: https://www.oracle.com/machine-learning\n
OML Time Series documentation: https://www.oracle.com/goto/ml-time-series
\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1391715602","id":"20200915-183830_617957514","dateCreated":"2020-02-05T20:22:55+0000","dateStarted":"2020-09-15T23:51:45+0000","dateFinished":"2020-09-15T23:51:45+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:100"},{"title":"Create view for model build","text":"%script\n\nCREATE OR REPLACE VIEW ESM_SH_DATA AS \n SELECT TIME_ID, AMOUNT_SOLD FROM SH.SALES;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:45+0000","config":{"colWidth":4,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nView ESM_SH_DATA created.\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-790646091","id":"20200915-183830_1942017113","dateCreated":"2019-11-18T16:57:18+0000","dateStarted":"2020-09-15T23:51:46+0000","dateFinished":"2020-09-15T23:51:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:101"},{"title":"Count rows","text":"%script\n\nSELECT count(*) from ESM_SH_DATA;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:46+0000","config":{"colWidth":4,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"COUNT(*) \n 918843 \n\n\n\n---------------------------\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1780480681","id":"20200915-183830_616220307","dateCreated":"2020-01-15T18:36:12+0000","dateStarted":"2020-09-15T23:51:46+0000","dateFinished":"2020-09-15T23:51:46+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:102"},{"title":"View training data set","text":"%sql\n\nSELECT * from ESM_SH_DATA;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:46+0000","config":{"colWidth":4,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":158.494,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"TIME_ID":"string","AMOUNT_SOLD":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{}}}},"editorSetting":{"language":"sql","editOnDblClick":false},"editorMode":"ace/mode/osql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TABLE","data":"TIME_ID\tAMOUNT_SOLD\n1998-01-20 00:00:00\t1205.99\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-04-05 00:00:00\t1250.25\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-05 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-20 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-07-30 00:00:00\t1210.21\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-05 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-10 00:00:00\t1222.87\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-08-20 00:00:00\t1210.21\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-05 00:00:00\t1210.81\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-10-20 00:00:00\t1205.99\n1998-12-05 00:00:00\t1205.99\n1998-12-05 00:00:00\t1205.99\n1998-12-05 00:00:00\t1205.99\n1998-12-05 00:00:00\t1205.99\n1998-12-05 00:00:00\t1205.99\n1998-12-10 00:00:00\t1210.81\n1998-12-10 00:00:00\t1210.81\n1998-12-10 00:00:00\t1210.81\n1998-12-10 00:00:00\t1210.81\n1998-12-10 00:00:00\t1210.81\n1998-12-10 00:00:00\t1210.81\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-20 00:00:00\t1222.87\n1998-12-30 00:00:00\t1222.87\n1998-12-30 00:00:00\t1222.87\n1998-12-31 00:00:00\t1222.87\n1998-12-31 00:00:00\t1222.87\n1999-01-10 00:00:00\t1222.87\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-20 00:00:00\t925.1\n1999-01-23 00:00:00\t925.1\n1999-01-23 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-01-30 00:00:00\t925.1\n1999-02-05 00:00:00\t1222.87\n1999-02-05 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-20 00:00:00\t1222.87\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-21 00:00:00\t914.34\n1999-02-23 00:00:00\t925.1\n1999-02-23 00:00:00\t925.1\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-02-25 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-05-20 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-07-30 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-08-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-10 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-10-20 00:00:00\t914.34\n1999-12-10 00:00:00\t914.34\n1999-12-10 00:00:00\t914.34\n1999-12-10 00:00:00\t914.34\n1999-12-14 00:00:00\t914.34\n1999-12-14 00:00:00\t914.34\n1999-12-14 00:00:00\t914.34\n1999-12-16 00:00:00\t914.34\n1999-12-20 00:00:00\t914.34\n1999-12-20 00:00:00\t914.34\n1999-12-20 00:00:00\t914.34\n1999-12-22 00:00:00\t914.34\n1999-12-22 00:00:00\t914.34\n1999-12-22 00:00:00\t914.34\n1999-12-23 00:00:00\t914.34\n1999-12-30 00:00:00\t927.14\n1999-12-30 00:00:00\t927.14\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-01-30 00:00:00\t1075.12\n2000-02-03 00:00:00\t1067.73\n2000-02-03 00:00:00\t1067.73\n2000-02-03 00:00:00\t1067.73\n2000-02-03 00:00:00\t1067.73\n2000-02-03 00:00:00\t1067.73\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-10 00:00:00\t1052.99\n2000-02-11 00:00:00\t1052.99\n2000-02-11 00:00:00\t1052.99\n2000-02-11 00:00:00\t1052.99\n2000-02-11 00:00:00\t1052.99\n2000-02-15 00:00:00\t1052.99\n2000-02-15 00:00:00\t1052.99\n2000-02-15 00:00:00\t1052.99\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-18 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-21 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-02-25 00:00:00\t1067.73\n2000-03-03 00:00:00\t1043.37\n2000-03-16 00:00:00\t1043.37\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-23 00:00:00\t1057.97\n2000-03-26 00:00:00\t1057.97\n2000-03-26 00:00:00\t1057.97\n2000-03-26 00:00:00\t1057.97\n2000-03-26 00:00:00\t1057.97\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-02 00:00:00\t1037.93\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-13 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-16 00:00:00\t1052.46\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-25 00:00:00\t1037.93\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-26 00:00:00\t1052.46\n2000-04-28 00:00:00\t1037.93\n2000-04-28 00:00:00\t1037.93\n2000-04-28 00:00:00\t1037.93\n2000-04-28 00:00:00\t1037.93\n2000-05-03 00:00:00\t1060.63\n2000-05-03 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-14 00:00:00\t1060.63\n2000-05-16 00:00:00\t1060.63\n2000-05-16 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-23 00:00:00\t1060.63\n2000-05-26 00:00:00\t1060.63\n2000-05-26 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-05-30 00:00:00\t1060.63\n2000-06-02 00:00:00\t1035.33\n2000-06-02 00:00:00\t1035.33\n2000-06-02 00:00:00\t1035.33\n2000-06-02 00:00:00\t1035.33\n2000-06-02 00:00:00\t1035.33\n2000-06-02 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-03 00:00:00\t1035.33\n2000-06-13 00:00:00\t1049.83\n2000-06-13 00:00:00\t1049.83\n2000-06-13 00:00:00\t1049.83\n2000-06-13 00:00:00\t1049.83\n2000-06-13 00:00:00\t1049.83\n2000-06-13 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-16 00:00:00\t1049.83\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-06-26 00:00:00\t1035.33\n2000-07-02 00:00:00\t1033.21\n2000-07-02 00:00:00\t1033.21\n2000-07-02 00:00:00\t1033.21\n2000-07-02 00:00:00\t1033.21\n2000-07-13 00:00:00\t1043.5\n2000-07-13 00:00:00\t1043.5\n2000-07-13 00:00:00\t1043.5\n2000-07-17 00:00:00\t1043.5\n2000-07-17 00:00:00\t1043.5\n2000-07-17 00:00:00\t1043.5\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-20 00:00:00\t1029.1\n2000-07-23 00:00:00\t1033.21\n2000-07-23 00:00:00\t1033.21\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-28 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-07-30 00:00:00\t1029.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-02 00:00:00\t1030.1\n2000-08-10 00:00:00\t1044.53\n2000-08-10 00:00:00\t1044.53\n2000-08-10 00:00:00\t1044.53\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-17 00:00:00\t1030.1\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-20 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-28 00:00:00\t1044.53\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-08-30 00:00:00\t1033.71\n2000-09-03 00:00:00\t920.04\n2000-09-19 00:00:00\t910.52\n2000-09-19 00:00:00\t910.52\n2000-09-19 00:00:00\t910.52\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-23 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-25 00:00:00\t907.34\n2000-09-26 00:00:00\t920.04\n2000-09-26 00:00:00\t920.04\n2000-09-26 00:00:00\t920.04\n2000-10-10 00:00:00\t1044.82\n2000-10-13 00:00:00\t1044.82\n2000-10-13 00:00:00\t1044.82\n2000-10-13 00:00:00\t1044.82\n2000-10-13 00:00:00\t1044.82\n2000-10-17 00:00:00\t1030.39\n2000-10-17 00:00:00\t1030.39\n2000-10-17 00:00:00\t1030.39\n2000-10-17 00:00:00\t1030.39\n2000-10-17 00:00:00\t1030.39\n2000-10-17 00:00:00\t1030.39\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-20 00:00:00\t1044.82\n2000-10-23 00:00:00\t1030.39\n2000-10-23 00:00:00\t1030.39\n2000-10-23 00:00:00\t1030.39\n2000-10-23 00:00:00\t1030.39\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-10-28 00:00:00\t1044.82\n2000-11-03 00:00:00\t1043.5\n2000-11-03 00:00:00\t1043.5\n2000-11-03 00:00:00\t1043.5\n2000-11-12 00:00:00\t1029.1\n2000-11-12 00:00:00\t1029.1\n2000-11-12 00:00:00\t1029.1\n2000-11-12 00:00:00\t1029.1\n2000-11-12 00:00:00\t1029.1\n2000-11-12 00:00:00\t1029.1\n2000-11-14 00:00:00\t1029.1\n2000-11-14 00:00:00\t1029.1\n2000-11-16 00:00:00\t1029.1\n2000-11-16 00:00:00\t1029.1\n2000-11-16 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-17 00:00:00\t1029.1\n2000-11-19 00:00:00\t1043.5\n2000-11-19 00:00:00\t1043.5\n2000-11-19 00:00:00\t1043.5\n2000-11-19 00:00:00\t1043.5\n2000-11-19 00:00:00\t1043.5\n2000-11-26 00:00:00\t1032.7\n2000-11-26 00:00:00\t1032.7\n2000-11-26 00:00:00\t1032.7\n2000-11-26 00:00:00\t1032.7\n2000-11-26 00:00:00\t1032.7\n2000-12-02 00:00:00\t983.67\n2000-12-02 00:00:00\t983.67\n2000-12-02 00:00:00\t983.67\n2000-12-02 00:00:00\t983.67\n2000-12-03 00:00:00\t970.1\n2000-12-03 00:00:00\t970.1\n2000-12-03 00:00:00\t970.1\n2000-12-03 00:00:00\t970.1\n2000-12-03 00:00:00\t970.1\n2000-12-10 00:00:00\t983.67\n2000-12-13 00:00:00\t983.67\n2000-12-13 00:00:00\t983.67\n2000-12-14 00:00:00\t973.97\n2000-12-14 00:00:00\t973.97\n2000-12-14 00:00:00\t973.97\n2000-12-14 00:00:00\t973.97\n2000-12-14 00:00:00\t973.97\n2000-12-16 00:00:00\t970.1\n2000-12-16 00:00:00\t970.1\n2000-12-16 00:00:00\t970.1\n2000-12-16 00:00:00\t970.1\n2000-12-17 00:00:00\t983.67\n2000-12-18 00:00:00\t983.67\n2000-12-20 00:00:00\t983.67\n2000-12-20 00:00:00\t983.67\n2000-12-20 00:00:00\t983.67\n2000-12-20 00:00:00\t983.67\n2000-12-20 00:00:00\t983.67\n2000-12-24 00:00:00\t983.67\n2000-12-24 00:00:00\t983.67\n2000-12-24 00:00:00\t983.67\n2000-12-24 00:00:00\t983.67\n2000-12-24 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2000-12-28 00:00:00\t983.67\n2001-01-13 00:00:00\t1173.97\n2001-01-13 00:00:00\t1173.97\n2001-01-13 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-17 00:00:00\t1173.97\n2001-01-18 00:00:00\t1173.97\n2001-01-23 00:00:00\t1173.97\n2001-01-23 00:00:00\t1173.97\n2001-01-23 00:00:00\t1173.97\n2001-01-24 00:00:00\t1173.97\n2001-01-24 00:00:00\t1173.97\n2001-01-24 00:00:00\t1173.97\n2001-01-30 00:00:00\t1173.97\n2001-01-30 00:00:00\t1173.97\n2001-01-30 00:00:00\t1173.97\n2001-02-02 00:00:00\t1185.17\n2001-02-02 00:00:00\t1185.17\n2001-02-02 00:00:00\t1185.17\n2001-02-02 00:00:00\t1185.17\n2001-02-10 00:00:00\t1185.17\n2001-02-10 00:00:00\t1185.17\n2001-02-10 00:00:00\t1185.17\n2001-02-10 00:00:00\t1185.17\n2001-02-13 00:00:00\t1185.17\n2001-02-13 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-14 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-17 00:00:00\t1185.17\n2001-02-23 00:00:00\t1185.17\n2001-02-23 00:00:00\t1185.17\n2001-02-28 00:00:00\t1185.17\n2001-02-28 00:00:00\t1185.17\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-14 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-16 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-23 00:00:00\t1172.59\n2001-03-26 00:00:00\t1172.59\n2001-03-26 00:00:00\t1172.59\n2001-03-26 00:00:00\t1172.59\n2001-03-26 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-03-30 00:00:00\t1172.59\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-02 00:00:00\t1128.28\n2001-04-03 00:00:00\t1128.28\n2001-04-03 00:00:00\t1128.28\n2001-04-03 00:00:00\t1128.28\n2001-04-03 00:00:00\t1128.28\n2001-04-03 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-13 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-16 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-04-26 00:00:00\t1128.28\n2001-05-03 00:00:00\t1126.93\n2001-05-03 00:00:00\t1126.93\n2001-05-14 00:00:00\t1126.93\n2001-05-14 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-16 00:00:00\t1126.93\n2001-05-17 00:00:00\t1126.93\n2001-05-23 00:00:00\t1126.93\n2001-05-23 00:00:00\t1126.93\n2001-05-23 00:00:00\t1126.93\n2001-05-23 00:00:00\t1126.93\n2001-05-23 00:00:00\t1126.93\n2001-05-26 00:00:00\t1126.93\n2001-05-27 00:00:00\t1126.93\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-02 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-03 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-13 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-16 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-26 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-06-28 00:00:00\t1124.25\n2001-07-02 00:00:00\t1112.18\n2001-07-02 00:00:00\t1112.18\n2001-07-02 00:00:00\t1112.18\n2001-07-13 00:00:00\t1112.18\n2001-07-13 00:00:00\t1112.18\n2001-07-17 00:00:00\t1112.18\n2001-07-17 00:00:00\t1112.18\n2001-07-17 00:00:00\t1112.18\n2001-07-17 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-20 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-23 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-07-30 00:00:00\t1112.18\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-02 00:00:00\t1110.86\n2001-08-10 00:00:00\t1110.86\n2001-08-10 00:00:00\t1110.86\n2001-08-10 00:00:00\t1110.86\n2001-08-10 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-13 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-17 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-20 00:00:00\t1110.86\n2001-08-23 00:00:00\t1110.86\n2001-08-23 00:00:00\t1110.86\n2001-08-27 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-08-28 00:00:00\t1110.86\n2001-09-02 00:00:00\t1101.48\n2001-09-03 00:00:00\t1101.48\n2001-09-03 00:00:00\t1101.48\n2001-09-17 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-19 00:00:00\t1101.48\n2001-09-20 00:00:00\t1101.48\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1301492167","id":"20200915-183830_809486606","dateCreated":"2019-11-24T20:07:04+0000","dateStarted":"2020-09-15T23:51:47+0000","dateFinished":"2020-09-15T23:51:47+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:103"},{"title":"Create forecast model to predict AMOUNT_SOLD","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('ESM_SALES_FORECAST_1');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst(dbms_data_mining.ALGO_NAME) := dbms_data_mining.ALGO_EXPONENTIAL_SMOOTHING;\n V_setlst(dbms_data_mining.EXSM_INTERVAL):= dbms_data_mining.EXSM_INTERVAL_QTR;-- accumulation int'l = quarter\n V_setlst(dbms_data_mining.EXSM_PREDICTION_STEP) := '4'; -- prediction step = 4 quarters\n V_setlst(dbms_data_mining.EXSM_MODEL) := dbms_data_mining.EXSM_HW; -- ESM model = Holt-Winters\n V_setlst(dbms_data_mining.EXSM_SEASONALITY) := '4'; -- seasonal cycle = 4 quarters\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'ESM_SALES_FORECAST_1',\n MINING_FUNCTION => 'TIME_SERIES',\n DATA_QUERY => 'select * from ESM_SH_DATA',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'TIME_ID',\n TARGET_COLUMN_NAME =>'AMOUNT_SOLD');\nEND;\n\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:47+0000","config":{"colWidth":7,"enabled":true,"results":{},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_1784399352","id":"20200915-183830_1050691227","dateCreated":"2019-11-18T16:58:18+0000","dateStarted":"2020-09-15T23:51:47+0000","dateFinished":"2020-09-15T23:51:49+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:104"},{"title":"Create similar model, but using string parameters","text":"%script\n\nBEGIN DBMS_DATA_MINING.DROP_MODEL('ESM_SALES_FORECAST_2');\nEXCEPTION WHEN OTHERS THEN NULL; END;\n/\nDECLARE\n v_setlst DBMS_DATA_MINING.SETTING_LIST;\nBEGIN\n v_setlst('ALGO_NAME') := 'ALGO_EXPONENTIAL_SMOOTHING';\n V_setlst('EXSM_INTERVAL') := 'EXSM_INTERVAL_QTR';\n V_setlst('EXSM_PREDICTION_STEP') := '4';\n V_setlst('EXSM_MODEL') := 'EXSM_WINTERS';\n V_setlst('EXSM_SEASONALITY') := '4';\n\n DBMS_DATA_MINING.CREATE_MODEL2(\n MODEL_NAME => 'ESM_SALES_FORECAST_2',\n MINING_FUNCTION => 'TIME_SERIES',\n DATA_QUERY => 'select * from ESM_SH_DATA',\n SET_LIST => v_setlst,\n CASE_ID_COLUMN_NAME => 'TIME_ID',\n TARGET_COLUMN_NAME =>'AMOUNT_SOLD');\nEND;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:49+0000","config":{"colWidth":5,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":92.8,"optionOpen":false}}},"editorSetting":{"language":"plsql","editOnDblClick":false},"editorMode":"ace/mode/plsql","title":true,"editorHide":false,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\nPL/SQL procedure successfully completed.\n\n\n---------------------------\n\nPL/SQL procedure successfully completed.\n\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1557840750","id":"20200915-183830_1270300426","dateCreated":"2019-11-19T19:09:57+0000","dateStarted":"2020-09-15T23:51:50+0000","dateFinished":"2020-09-15T23:51:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:105"},{"title":"Review the forecast model settings","text":"%sql\n\nSELECT SETTING_NAME, SETTING_VALUE\n FROM USER_MINING_MODEL_SETTINGS\n WHERE MODEL_NAME = UPPER('ESM_SALES_FORECAST_1')\n ORDER BY SETTING_NAME;\n","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:52+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":229.667,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"SETTING_NAME":"string","SETTING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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global diagnostics and model quality for forecast model","text":"%sql\n\nSELECT NAME, round(NUMERIC_VALUE,4), STRING_VALUE \n FROM DM$VGESM_SALES_FORECAST_1\n ORDER BY NAME;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:52+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"NAME":"string","ROUND(NUMERIC_VALUE,4)":"string","STRING_VALUE":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying 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TREND\t55478.0794\t\nMAE\t0.0424\t\nMSE\t104400146583.6485\t\nNUM_ROWS\t918843\t\nSIGMA\t0.054\t\nSTD\t323110.1153\t\n"}]},"interrupted":false,"jobName":"paragraph_1600195110351_-1205675184","id":"20200915-183830_2003975999","dateCreated":"2019-08-08T01:19:13+0000","dateStarted":"2020-09-15T23:51:52+0000","dateFinished":"2020-09-15T23:51:52+0000","status":"FINISHED","progressUpdateIntervalMs":500,"commited":true,"$$hashKey":"object:107"},{"title":"Forecast AMOUNT_SOLD","text":"%sql\n\n-- Sort results by descending date so latest points are shown first\n-- The model predicts 4 values into the future with LOWER and UPPER condifence bounds\n\nSELECT TO_CHAR(CASE_ID,'YYYY-MON') DATE_ID, \n round(VALUE,2) ACTUAL_SOLD, \n round(PREDICTION,2) FORECAST_SOLD, \n round(LOWER,2) LOWER_BOUND, round(UPPER,2) UPPER_BOUND\n FROM DM$VPESM_SALES_FORECAST_1\n ORDER BY CASE_ID DESC;","user":"OMLUSER","dateUpdated":"2020-09-15T23:51:53+0000","config":{"colWidth":6,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":300,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"DATE_ID":"string","ACTUAL_SOLD":"string","FORECAST_SOLD":"string","LOWER_BOUND":"string","UPPER_BOUND":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated 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forecasted AMOUNT_SOLD values with confidence intervals","text":"%sql\n\n-- Hint: Click on setting and drag DATE_ID to Keys and FORECASTED_SOLD (avg), \n-- ACTUAL_SOLD(avge), LOWER_BOUND(avg) and UPPER_BOUND(avg) to Values\n\nSELECT TO_CHAR(CASE_ID,'YYYY-MON') DATE_ID, VALUE ACTUAL_SOLD, \n round(PREDICTION,2) FORECAST_SOLD, \n round(LOWER,2) LOWER_BOUND, round(UPPER,2) UPPER_BOUND\n FROM DM$VPESM_SALES_FORECAST_1\n ORDER BY 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\ No newline at end of file
diff --git a/machine-learning/python/README.md b/machine-learning/python/README.md
index b58ca73b..0d3bcbf5 100644
--- a/machine-learning/python/README.md
+++ b/machine-learning/python/README.md
@@ -5,6 +5,8 @@ OML4Py is going to be initially available inside Oracle Autonomous Database, but
Outside of the Autonomous Database, OML4Py will be compatible Oracle Linux 7.x (or RHEL 7.x) and Python 3.x.
+Notebook OML4Py Demos are available under the machine-learning/notebooks/python
+
The examples here would run on either environment.
#### Copyright (c) 2020 Oracle Corporation and/or its affilitiates.
