python/examples/basic/Logging_Different_Data.ipynb

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   "cell_type": "markdown",
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   "source": [
    ">### 🚩 *Create a free WhyLabs account to get more value out of whylogs!*<br> \n",
    ">*Did you know you can store, visualize, and monitor whylogs profiles with the [WhyLabs Observability Platform](https://whylabs.ai/whylogs-free-signup?utm_source=whylogs-Github&utm_medium=whylogs-example&utm_campaign=Logging_Different_Data)? Sign up for a [free WhyLabs account](https://whylabs.ai/whylogs-free-signup?utm_source=whylogs-Github&utm_medium=whylogs-example&utm_campaign=Logging_Different_Data) to leverage the power of whylogs and WhyLabs together!*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# (why)Logging"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/whylabs/whylogs/blob/mainline/python/examples/basic/Logging_Different_Data.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "WhyLogs enables logging different types of data that can then be used to monitor the data. We'll go through examples on different types of data to log and go more in depth on different options. Before we get going though, let's import whylogs."
   ]
  },
  {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: You are using pip version 22.0.3; however, version 22.1 is available.\r\n",
      "You should consider upgrading via the '/Users/melanie/Dev/whylogs-v1/python/.venv/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\r\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "# Note: you may need to restart the kernel to use updated packages.\n",
    "%pip install whylogs"
   ]
  },
  {
   "cell_type": "markdown",
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     "name": "#%% md\n"
    }
   },
   "source": [
    "## Table of Contents\n",
    "#### [Log Pandas Dataframe](#log_dataframe) | [Log Dictionary](#log_dict) |  [Display Logs](#display)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Log Pandas DataFrame <a class=\"anchor\" id=\"log_dataframe\"></a>\n",
    "\n",
    "We will be generating log by importing data from a CSV into Pandas Dataframe, logging it with the whylogs python library."
   ]
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       "    Transaction ID Customer ID  Product Subcategory Code  \\\n",
       "0     T25601292314     C268458                        12   \n",
       "1      T1465175267     C271344                         3   \n",
       "2      T4968790114     C272305                         4   \n",
       "3     T50504166310     C275057                         4   \n",
       "4     T10877729712     C270074                        10   \n",
       "..             ...         ...                       ...   \n",
       "904   T89167826318     C274270                        10   \n",
       "905   T87193008634     C271051                        11   \n",
       "906   T84036395834     C270763                        11   \n",
       "907   T72150045625     C270432                        11   \n",
       "908   T97942600110     C269559                         4   \n",
       "\n",
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       "0                        6       114.9    24.1290      253.9290   \n",
       "1                        5       107.7    22.6170      238.0170   \n",
       "2                        3        14.6     7.6650       80.6650   \n",
       "3                        4        15.7     4.9455       52.0455   \n",
       "4                        5       144.1    45.3915      477.6915   \n",
       "..                     ...         ...        ...           ...   \n",
       "904                      5        68.2    14.3220      150.7220   \n",
       "905                      6       124.2    52.1640      548.9640   \n",
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       "908                      3        67.9    35.6475      375.1475   \n",
       "\n",
       "         Store Type  Product Category Product Subcategory Date of Birth  \\\n",
       "0          TeleShop  Home and kitchen               Tools    1976-10-08   \n",
       "1            e-Shop             Books              Comics    1970-01-29   \n",
       "2            e-Shop       Electronics             Mobiles    1975-08-25   \n",
       "3               MBR              Bags               Women    1980-09-17   \n",
       "4            e-Shop             Books         Non-Fiction    1983-02-20   \n",
       "..              ...               ...                 ...           ...   \n",
       "904  Flagship store             Books         Non-Fiction    1972-06-06   \n",
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       "906        TeleShop             Books            Children    1991-02-10   \n",
       "907          e-Shop             Books            Children    1982-09-17   \n",
       "908          e-Shop       Electronics             Mobiles    1972-06-24   \n",
       "\n",
       "    Gender  City Code  Age at Transaction Date  Purchase Canceled  \\\n",
       "0        M        1.0                     36.0                0.0   \n",
       "1        F        5.0                     43.0                0.0   \n",
       "2        F       10.0                     37.0                0.0   \n",
       "3        M        7.0                     32.0                0.0   \n",
       "4        M       10.0                     30.0                0.0   \n",
       "..     ...        ...                      ...                ...   \n",
       "904      F        1.0                     40.0                0.0   \n",
       "905      F        3.0                     36.0                0.0   \n",
       "906      F        8.0                     21.0                0.0   \n",
       "907      M        7.0                     30.0                1.0   \n",
       "908      M        1.0                     40.0                0.0   \n",
       "\n",
       "     Transaction Day of Week  Transaction Week  Transaction Batch  \n",
       "0                          0                 0                  0  \n",
       "1                          0                 0                  0  \n",
       "2                          0                 0                  0  \n",
       "3                          0                 0                  0  \n",
       "4                          0                 0                  0  \n",
       "..                       ...               ...                ...  \n",
       "904                        0                 0                  0  \n",
       "905                        0                 0                  0  \n",
       "906                        0                 0                  0  \n",
       "907                        0                 0                  0  \n",
       "908                        0                 0                  0  \n",
       "\n",
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     },
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   ],
   "source": [
    "import os.path\n",
    "import pandas as pd\n",
    "\n",
    "# Read in a CSV, this one is from a public bucket on s3\n",
    "retail_daily = pd.read_csv('https://whylabs-public.s3.us-west-2.amazonaws.com/whylogs_examples/retail-daily-features.csv')\n",
    "retail_daily"
   ]
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       "      <td>25.000001</td>\n",
       "      <td>25.001250</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>19.000</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>25.000</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Week</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[FrequentItem(value='0.000000', est=909, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Store Type</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000200</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='e-Shop', est=375, upper=3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Category</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000300</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='Books', est=232, upper=23...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000100</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='M', est=455, upper=455, l...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction ID</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>904.722898</td>\n",
       "      <td>916.565225</td>\n",
       "      <td>893.168643</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='T40336799311', est=3, upp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Item Price</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>672.542875</td>\n",
       "      <td>681.346093</td>\n",
       "      <td>663.953801</td>\n",
       "      <td>...</td>\n",
       "      <td>7.100</td>\n",
       "      <td>18.2000</td>\n",
       "      <td>43.200</td>\n",
       "      <td>80.1000</td>\n",
       "      <td>116.2000</td>\n",
       "      <td>137.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Tax</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>800.975225</td>\n",
       "      <td>811.459552</td>\n",
       "      <td>790.745935</td>\n",
       "      <td>...</td>\n",
       "      <td>0.861</td>\n",
       "      <td>4.8825</td>\n",
       "      <td>10.017</td>\n",
       "      <td>20.5170</td>\n",
       "      <td>36.1725</td>\n",
       "      <td>54.2640</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Category Code</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000300</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>6.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[FrequentItem(value='5.000000', est=232, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Day of Week</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[FrequentItem(value='0.000000', est=909, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City Code</th>\n",
       "      <td>909</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>908</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000500</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>8.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Batch</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[FrequentItem(value='0.000000', est=909, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date of Birth</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>801.978113</td>\n",
       "      <td>812.475567</td>\n",
       "      <td>791.736016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='1981-03-29', est=4, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Customer ID</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>847.420398</td>\n",
       "      <td>858.512667</td>\n",
       "      <td>836.597955</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='C274278', est=4, upper=3,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Amount</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>842.098548</td>\n",
       "      <td>853.121157</td>\n",
       "      <td>831.344071</td>\n",
       "      <td>...</td>\n",
       "      <td>-767.975</td>\n",
       "      <td>25.3045</td>\n",
       "      <td>82.433</td>\n",
       "      <td>188.4025</td>\n",
       "      <td>358.6830</td>\n",
       "      <td>555.2625</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Subcategory</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>18.000001</td>\n",
       "      <td>18.000899</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='Women', est=133, upper=13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Subcategory Code</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000599</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>11.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[FrequentItem(value='4.000000', est=148, upper...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          counts/n  counts/null  types/integral  \\\n",
       "column                                                            \n",
       "Purchase Canceled              909           72               0   \n",
       "Age at Transaction Date        909            0               0   \n",
       "Transaction Week               909            0             909   \n",
       "Store Type                     909            0               0   \n",
       "Product Category               909            0               0   \n",
       "Gender                         909            0               0   \n",
       "Transaction ID                 909            0               0   \n",
       "Item Price                     909            0               0   \n",
       "Total Tax                      909            0               0   \n",
       "Product Category Code          909            0             909   \n",
       "Transaction Day of Week        909            0             909   \n",
       "City Code                      909            1               0   \n",
       "Transaction Batch              909            0             909   \n",
       "Date of Birth                  909            0               0   \n",
       "Customer ID                    909            0               0   \n",
       "Total Amount                   909            0               0   \n",
       "Product Subcategory            909            0               0   \n",
       "Product Subcategory Code       909            0             909   \n",
       "\n",
       "                          types/fractional  types/boolean  types/string  \\\n",
       "column                                                                    \n",
       "Purchase Canceled                      837              0             0   \n",
       "Age at Transaction Date                909              0             0   \n",
       "Transaction Week                         0              0             0   \n",
       "Store Type                               0              0           909   \n",
       "Product Category                         0              0           909   \n",
       "Gender                                   0              0           909   \n",
       "Transaction ID                           0              0           909   \n",
       "Item Price                             909              0             0   \n",
       "Total Tax                              909              0             0   \n",
       "Product Category Code                    0              0             0   \n",
       "Transaction Day of Week                  0              0             0   \n",
       "City Code                              908              0             0   \n",
       "Transaction Batch                        0              0             0   \n",
       "Date of Birth                            0              0           909   \n",
       "Customer ID                              0              0           909   \n",
       "Total Amount                           909              0             0   \n",
       "Product Subcategory                      0              0           909   \n",
       "Product Subcategory Code                 0              0             0   \n",
       "\n",
       "                          types/object  cardinality/est  cardinality/upper_1  \\\n",
       "column                                                                         \n",
       "Purchase Canceled                    0         2.000000             2.000100   \n",
       "Age at Transaction Date              0        25.000001            25.001250   \n",
       "Transaction Week                     0         1.000000             1.000050   \n",
       "Store Type                           0         4.000000             4.000200   \n",
       "Product Category                     0         6.000000             6.000300   \n",
       "Gender                               0         2.000000             2.000100   \n",
       "Transaction ID                       0       904.722898           916.565225   \n",
       "Item Price                           0       672.542875           681.346093   \n",
       "Total Tax                            0       800.975225           811.459552   \n",
       "Product Category Code                0         6.000000             6.000300   \n",
       "Transaction Day of Week              0         1.000000             1.000050   \n",
       "City Code                            0        10.000000            10.000500   \n",
       "Transaction Batch                    0         1.000000             1.000050   \n",
       "Date of Birth                        0       801.978113           812.475567   \n",
       "Customer ID                          0       847.420398           858.512667   \n",
       "Total Amount                         0       842.098548           853.121157   \n",
       "Product Subcategory                  0        18.000001            18.000899   \n",
       "Product Subcategory Code             0        12.000000            12.000599   \n",
       "\n",
       "                          cardinality/lower_1  ...  distribution/min  \\\n",
       "column                                         ...                     \n",
       "Purchase Canceled                    2.000000  ...             0.000   \n",
       "Age at Transaction Date             25.000000  ...            19.000   \n",
       "Transaction Week                     1.000000  ...             0.000   \n",
       "Store Type                           4.000000  ...               NaN   \n",
       "Product Category                     6.000000  ...               NaN   \n",
       "Gender                               2.000000  ...               NaN   \n",
       "Transaction ID                     893.168643  ...               NaN   \n",
       "Item Price                         663.953801  ...             7.100   \n",
       "Total Tax                          790.745935  ...             0.861   \n",
       "Product Category Code                6.000000  ...             1.000   \n",
       "Transaction Day of Week              1.000000  ...             0.000   \n",
       "City Code                           10.000000  ...             1.000   \n",
       "Transaction Batch                    1.000000  ...             0.000   \n",
       "Date of Birth                      791.736016  ...               NaN   \n",
       "Customer ID                        836.597955  ...               NaN   \n",
       "Total Amount                       831.344071  ...          -767.975   \n",
       "Product Subcategory                 18.000000  ...               NaN   \n",
       "Product Subcategory Code            12.000000  ...             1.000   \n",
       "\n",
       "                          distribution/q_10  distribution/q_25  \\\n",
       "column                                                           \n",
       "Purchase Canceled                    0.0000              0.000   \n",
       "Age at Transaction Date             21.0000             25.000   \n",
       "Transaction Week                     0.0000              0.000   \n",
       "Store Type                              NaN                NaN   \n",
       "Product Category                        NaN                NaN   \n",
       "Gender                                  NaN                NaN   \n",
       "Transaction ID                          NaN                NaN   \n",
       "Item Price                          18.2000             43.200   \n",
       "Total Tax                            4.8825             10.017   \n",
       "Product Category Code                1.0000              2.000   \n",
       "Transaction Day of Week              0.0000              0.000   \n",
       "City Code                            1.0000              3.000   \n",
       "Transaction Batch                    0.0000              0.000   \n",
       "Date of Birth                           NaN                NaN   \n",
       "Customer ID                             NaN                NaN   \n",
       "Total Amount                        25.3045             82.433   \n",
       "Product Subcategory                     NaN                NaN   \n",
       "Product Subcategory Code             1.0000              3.000   \n",
       "\n",
       "                          distribution/median  distribution/q_75  \\\n",
       "column                                                             \n",
       "Purchase Canceled                      0.0000             0.0000   \n",
       "Age at Transaction Date               31.0000            37.0000   \n",
       "Transaction Week                       0.0000             0.0000   \n",
       "Store Type                                NaN                NaN   \n",
       "Product Category                          NaN                NaN   \n",
       "Gender                                    NaN                NaN   \n",
       "Transaction ID                            NaN                NaN   \n",
       "Item Price                            80.1000           116.2000   \n",
       "Total Tax                             20.5170            36.1725   \n",
       "Product Category Code                  4.0000             5.0000   \n",
       "Transaction Day of Week                0.0000             0.0000   \n",
       "City Code                              5.0000             8.0000   \n",
       "Transaction Batch                      0.0000             0.0000   \n",
       "Date of Birth                             NaN                NaN   \n",
       "Customer ID                               NaN                NaN   \n",
       "Total Amount                         188.4025           358.6830   \n",
       "Product Subcategory                       NaN                NaN   \n",
       "Product Subcategory Code               5.0000            10.0000   \n",
       "\n",
       "                          distribution/q_90                type  ints/max  \\\n",
       "column                                                                      \n",
       "Purchase Canceled                    0.0000  SummaryType.COLUMN       NaN   \n",
       "Age at Transaction Date             40.0000  SummaryType.COLUMN       NaN   \n",
       "Transaction Week                     0.0000  SummaryType.COLUMN       0.0   \n",
       "Store Type                              NaN  SummaryType.COLUMN       NaN   \n",
       "Product Category                        NaN  SummaryType.COLUMN       NaN   \n",
       "Gender                                  NaN  SummaryType.COLUMN       NaN   \n",
       "Transaction ID                          NaN  SummaryType.COLUMN       NaN   \n",
       "Item Price                         137.0000  SummaryType.COLUMN       NaN   \n",
       "Total Tax                           54.2640  SummaryType.COLUMN       NaN   \n",
       "Product Category Code                6.0000  SummaryType.COLUMN       6.0   \n",
       "Transaction Day of Week              0.0000  SummaryType.COLUMN       0.0   \n",
       "City Code                           10.0000  SummaryType.COLUMN       NaN   \n",
       "Transaction Batch                    0.0000  SummaryType.COLUMN       0.0   \n",
       "Date of Birth                           NaN  SummaryType.COLUMN       NaN   \n",
       "Customer ID                             NaN  SummaryType.COLUMN       NaN   \n",
       "Total Amount                       555.2625  SummaryType.COLUMN       NaN   \n",
       "Product Subcategory                     NaN  SummaryType.COLUMN       NaN   \n",
       "Product Subcategory Code            11.0000  SummaryType.COLUMN      12.0   \n",
       "\n",
       "                          ints/min  \\\n",
       "column                               \n",
       "Purchase Canceled              NaN   \n",
       "Age at Transaction Date        NaN   \n",
       "Transaction Week               0.0   \n",
       "Store Type                     NaN   \n",
       "Product Category               NaN   \n",
       "Gender                         NaN   \n",
       "Transaction ID                 NaN   \n",
       "Item Price                     NaN   \n",
       "Total Tax                      NaN   \n",
       "Product Category Code          1.0   \n",
       "Transaction Day of Week        0.0   \n",
       "City Code                      NaN   \n",
       "Transaction Batch              0.0   \n",
       "Date of Birth                  NaN   \n",
       "Customer ID                    NaN   \n",
       "Total Amount                   NaN   \n",
       "Product Subcategory            NaN   \n",
       "Product Subcategory Code       1.0   \n",
       "\n",
       "                                            frequent_items/frequent_strings  \n",
       "column                                                                       \n",
       "Purchase Canceled                                                       NaN  \n",
       "Age at Transaction Date                                                 NaN  \n",
       "Transaction Week          [FrequentItem(value='0.000000', est=909, upper...  \n",
       "Store Type                [FrequentItem(value='e-Shop', est=375, upper=3...  \n",
       "Product Category          [FrequentItem(value='Books', est=232, upper=23...  \n",
       "Gender                    [FrequentItem(value='M', est=455, upper=455, l...  \n",
       "Transaction ID            [FrequentItem(value='T40336799311', est=3, upp...  \n",
       "Item Price                                                              NaN  \n",
       "Total Tax                                                               NaN  \n",
       "Product Category Code     [FrequentItem(value='5.000000', est=232, upper...  \n",
       "Transaction Day of Week   [FrequentItem(value='0.000000', est=909, upper...  \n",
       "City Code                                                               NaN  \n",
       "Transaction Batch         [FrequentItem(value='0.000000', est=909, upper...  \n",
       "Date of Birth             [FrequentItem(value='1981-03-29', est=4, upper...  \n",
       "Customer ID               [FrequentItem(value='C274278', est=4, upper=3,...  \n",
       "Total Amount                                                            NaN  \n",
       "Product Subcategory       [FrequentItem(value='Women', est=133, upper=13...  \n",
       "Product Subcategory Code  [FrequentItem(value='4.000000', est=148, upper...  \n",
       "\n",
       "[18 rows x 24 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import whylogs as why\n",
    "\n",
    "# Log the data frame. This equivalent to why.log(retail_daily) and why.log(data=retail_daily)\n",
    "results = why.log(pandas=retail_daily)\n",
    "\n",
    "# Get the Results\n",
    "profile = results.profile()\n",
    "\n",
    "# Head down to Display a Log for explination\n",
    "profile.view().to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Log Dictionary <a class=\"anchor\" id=\"log_dict\">\n",
    "\n",
    "Sometimes a quick log is all you need though and don't want to set up a DataFrame. We can log a dictionary as if it were a single row of data. This works best when the values of that dictionary are scalar data, any collection values or nested values will be tracked with only a basic type counter and these entries get mapped to the object count.\n",
    "\n",
    "Suppose we want to log art prints that are being shown to see what sells best.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>price</th>\n",
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       "      <td>58.0</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>height</th>\n",
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       "<p>5 rows × 24 columns</p>\n",
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       "        counts/n  counts/null  types/integral  types/fractional  \\\n",
       "column                                                            \n",
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       "column                                                               \n",
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       "        cardinality/upper_1  cardinality/lower_1  ... distribution/n  \\\n",
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       "\n",
       "       distribution/max  distribution/min  distribution/q_10  \\\n",
       "column                                                         \n",
       "status              NaN               NaN                NaN   \n",
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       "length           1000.0            1000.0             1000.0   \n",
       "\n",
       "        distribution/q_25  distribution/median  distribution/q_75  \\\n",
       "column                                                              \n",
       "status                NaN                  NaN                NaN   \n",
       "medium                NaN                  NaN                NaN   \n",
       "price                58.0                 58.0               58.0   \n",
       "height              100.0                100.0              100.0   \n",
       "length             1000.0               1000.0             1000.0   \n",
       "\n",
       "        distribution/q_90  ints/max  ints/min  \n",
       "column                                         \n",
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       "height              100.0     100.0     100.0  \n",
       "length             1000.0    1000.0    1000.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
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    }
   ],
   "source": [
    "import whylogs as why\n",
    "\n",
    "example_data = {\"height\": 100, \"length\": 1000, \"status\": \"sold\", \"price\": 58.00, \"medium\": [\"watercolor\", \"digital\"] }\n",
    "\n",
    "# Log the dictionary this is equivalent to why.log(example_data)\n",
    "dict_results = why.log(row=example_data)\n",
    "\n",
    "# Retrieve the profile\n",
    "profile_from_dict = dict_results.profile()\n",
    "\n",
    "# Head to Display Logs to explain\n",
    "profile_from_dict.view().to_pandas()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "## Display the Logs <a class=\"anchor\" id=\"display\"></a>\n",
    "There are many ways to display the data! Examples in \"Integrations\", \"WhyLabs\", and \"Use Cases\" showcase how to use a variety of tools to see your data. Also the Notebook_Profile_Visualizer helps you display the profile with a variety of charts.\n",
    "\n",
    "Your log will from above returns results including the profile. It's this profile that we can view and export as a Pandas DataFrame."
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
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       "      <td>NaN</td>\n",
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       "      <th>Age at Transaction Date</th>\n",
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       "      <td>25.001250</td>\n",
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       "      <td>19.000</td>\n",
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       "      <td>25.000</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>37.0000</td>\n",
       "      <td>40.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Week</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='e-Shop', est=375, upper=3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Category</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000300</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='Books', est=232, upper=23...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gender</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000100</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='M', est=455, upper=455, l...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction ID</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>904.722898</td>\n",
       "      <td>916.565225</td>\n",
       "      <td>893.168643</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='T40336799311', est=3, upp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Item Price</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>672.542875</td>\n",
       "      <td>681.346093</td>\n",
       "      <td>663.953801</td>\n",
       "      <td>...</td>\n",
       "      <td>7.100</td>\n",
       "      <td>18.2000</td>\n",
       "      <td>43.200</td>\n",
       "      <td>80.1000</td>\n",
       "      <td>116.2000</td>\n",
       "      <td>137.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Tax</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>800.975225</td>\n",
       "      <td>811.459552</td>\n",
       "      <td>790.745935</td>\n",
       "      <td>...</td>\n",
       "      <td>0.861</td>\n",
       "      <td>4.8825</td>\n",
       "      <td>10.017</td>\n",
       "      <td>20.5170</td>\n",
       "      <td>36.1725</td>\n",
       "      <td>54.2640</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Category Code</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>6.000300</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>2.000</td>\n",
       "      <td>4.0000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>6.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[FrequentItem(value='5.000000', est=232, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Day of Week</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[FrequentItem(value='0.000000', est=909, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City Code</th>\n",
       "      <td>909</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>908</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000500</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>8.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transaction Batch</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>[FrequentItem(value='0.000000', est=909, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date of Birth</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>801.978113</td>\n",
       "      <td>812.475567</td>\n",
       "      <td>791.736016</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='1981-03-29', est=4, upper...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Customer ID</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>847.420398</td>\n",
       "      <td>858.512667</td>\n",
       "      <td>836.597955</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='C274278', est=4, upper=3,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total Amount</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>842.098548</td>\n",
       "      <td>853.121157</td>\n",
       "      <td>831.344071</td>\n",
       "      <td>...</td>\n",
       "      <td>-767.975</td>\n",
       "      <td>25.3045</td>\n",
       "      <td>82.433</td>\n",
       "      <td>188.4025</td>\n",
       "      <td>358.6830</td>\n",
       "      <td>555.2625</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Subcategory</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>18.000001</td>\n",
       "      <td>18.000899</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>[FrequentItem(value='Women', est=133, upper=13...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product Subcategory Code</th>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>909</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000599</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>3.000</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>10.0000</td>\n",
       "      <td>11.0000</td>\n",
       "      <td>SummaryType.COLUMN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>[FrequentItem(value='4.000000', est=148, upper...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          counts/n  counts/null  types/integral  \\\n",
       "column                                                            \n",
       "Purchase Canceled              909           72               0   \n",
       "Age at Transaction Date        909            0               0   \n",
       "Transaction Week               909            0             909   \n",
       "Store Type                     909            0               0   \n",
       "Product Category               909            0               0   \n",
       "Gender                         909            0               0   \n",
       "Transaction ID                 909            0               0   \n",
       "Item Price                     909            0               0   \n",
       "Total Tax                      909            0               0   \n",
       "Product Category Code          909            0             909   \n",
       "Transaction Day of Week        909            0             909   \n",
       "City Code                      909            1               0   \n",
       "Transaction Batch              909            0             909   \n",
       "Date of Birth                  909            0               0   \n",
       "Customer ID                    909            0               0   \n",
       "Total Amount                   909            0               0   \n",
       "Product Subcategory            909            0               0   \n",
       "Product Subcategory Code       909            0             909   \n",
       "\n",
       "                          types/fractional  types/boolean  types/string  \\\n",
       "column                                                                    \n",
       "Purchase Canceled                      837              0             0   \n",
       "Age at Transaction Date                909              0             0   \n",
       "Transaction Week                         0              0             0   \n",
       "Store Type                               0              0           909   \n",
       "Product Category                         0              0           909   \n",
       "Gender                                   0              0           909   \n",
       "Transaction ID                           0              0           909   \n",
       "Item Price                             909              0             0   \n",
       "Total Tax                              909              0             0   \n",
       "Product Category Code                    0              0             0   \n",
       "Transaction Day of Week                  0              0             0   \n",
       "City Code                              908              0             0   \n",
       "Transaction Batch                        0              0             0   \n",
       "Date of Birth                            0              0           909   \n",
       "Customer ID                              0              0           909   \n",
       "Total Amount                           909              0             0   \n",
       "Product Subcategory                      0              0           909   \n",
       "Product Subcategory Code                 0              0             0   \n",
       "\n",
       "                          types/object  cardinality/est  cardinality/upper_1  \\\n",
       "column                                                                         \n",
       "Purchase Canceled                    0         2.000000             2.000100   \n",
       "Age at Transaction Date              0        25.000001            25.001250   \n",
       "Transaction Week                     0         1.000000             1.000050   \n",
       "Store Type                           0         4.000000             4.000200   \n",
       "Product Category                     0         6.000000             6.000300   \n",
       "Gender                               0         2.000000             2.000100   \n",
       "Transaction ID                       0       904.722898           916.565225   \n",
       "Item Price                           0       672.542875           681.346093   \n",
       "Total Tax                            0       800.975225           811.459552   \n",
       "Product Category Code                0         6.000000             6.000300   \n",
       "Transaction Day of Week              0         1.000000             1.000050   \n",
       "City Code                            0        10.000000            10.000500   \n",
       "Transaction Batch                    0         1.000000             1.000050   \n",
       "Date of Birth                        0       801.978113           812.475567   \n",
       "Customer ID                          0       847.420398           858.512667   \n",
       "Total Amount                         0       842.098548           853.121157   \n",
       "Product Subcategory                  0        18.000001            18.000899   \n",
       "Product Subcategory Code             0        12.000000            12.000599   \n",
       "\n",
       "                          cardinality/lower_1  ...  distribution/min  \\\n",
       "column                                         ...                     \n",
       "Purchase Canceled                    2.000000  ...             0.000   \n",
       "Age at Transaction Date             25.000000  ...            19.000   \n",
       "Transaction Week                     1.000000  ...             0.000   \n",
       "Store Type                           4.000000  ...               NaN   \n",
       "Product Category                     6.000000  ...               NaN   \n",
       "Gender                               2.000000  ...               NaN   \n",
       "Transaction ID                     893.168643  ...               NaN   \n",
       "Item Price                         663.953801  ...             7.100   \n",
       "Total Tax                          790.745935  ...             0.861   \n",
       "Product Category Code                6.000000  ...             1.000   \n",
       "Transaction Day of Week              1.000000  ...             0.000   \n",
       "City Code                           10.000000  ...             1.000   \n",
       "Transaction Batch                    1.000000  ...             0.000   \n",
       "Date of Birth                      791.736016  ...               NaN   \n",
       "Customer ID                        836.597955  ...               NaN   \n",
       "Total Amount                       831.344071  ...          -767.975   \n",
       "Product Subcategory                 18.000000  ...               NaN   \n",
       "Product Subcategory Code            12.000000  ...             1.000   \n",
       "\n",
       "                          distribution/q_10  distribution/q_25  \\\n",
       "column                                                           \n",
       "Purchase Canceled                    0.0000              0.000   \n",
       "Age at Transaction Date             21.0000             25.000   \n",
       "Transaction Week                     0.0000              0.000   \n",
       "Store Type                              NaN                NaN   \n",
       "Product Category                        NaN                NaN   \n",
       "Gender                                  NaN                NaN   \n",
       "Transaction ID                          NaN                NaN   \n",
       "Item Price                          18.2000             43.200   \n",
       "Total Tax                            4.8825             10.017   \n",
       "Product Category Code                1.0000              2.000   \n",
       "Transaction Day of Week              0.0000              0.000   \n",
       "City Code                            1.0000              3.000   \n",
       "Transaction Batch                    0.0000              0.000   \n",
       "Date of Birth                           NaN                NaN   \n",
       "Customer ID                             NaN                NaN   \n",
       "Total Amount                        25.3045             82.433   \n",
       "Product Subcategory                     NaN                NaN   \n",
       "Product Subcategory Code             1.0000              3.000   \n",
       "\n",
       "                          distribution/median  distribution/q_75  \\\n",
       "column                                                             \n",
       "Purchase Canceled                      0.0000             0.0000   \n",
       "Age at Transaction Date               31.0000            37.0000   \n",
       "Transaction Week                       0.0000             0.0000   \n",
       "Store Type                                NaN                NaN   \n",
       "Product Category                          NaN                NaN   \n",
       "Gender                                    NaN                NaN   \n",
       "Transaction ID                            NaN                NaN   \n",
       "Item Price                            80.1000           116.2000   \n",
       "Total Tax                             20.5170            36.1725   \n",
       "Product Category Code                  4.0000             5.0000   \n",
       "Transaction Day of Week                0.0000             0.0000   \n",
       "City Code                              5.0000             8.0000   \n",
       "Transaction Batch                      0.0000             0.0000   \n",
       "Date of Birth                             NaN                NaN   \n",
       "Customer ID                               NaN                NaN   \n",
       "Total Amount                         188.4025           358.6830   \n",
       "Product Subcategory                       NaN                NaN   \n",
       "Product Subcategory Code               5.0000            10.0000   \n",
       "\n",
       "                          distribution/q_90                type  ints/max  \\\n",
       "column                                                                      \n",
       "Purchase Canceled                    0.0000  SummaryType.COLUMN       NaN   \n",
       "Age at Transaction Date             40.0000  SummaryType.COLUMN       NaN   \n",
       "Transaction Week                     0.0000  SummaryType.COLUMN       0.0   \n",
       "Store Type                              NaN  SummaryType.COLUMN       NaN   \n",
       "Product Category                        NaN  SummaryType.COLUMN       NaN   \n",
       "Gender                                  NaN  SummaryType.COLUMN       NaN   \n",
       "Transaction ID                          NaN  SummaryType.COLUMN       NaN   \n",
       "Item Price                         137.0000  SummaryType.COLUMN       NaN   \n",
       "Total Tax                           54.2640  SummaryType.COLUMN       NaN   \n",
       "Product Category Code                6.0000  SummaryType.COLUMN       6.0   \n",
       "Transaction Day of Week              0.0000  SummaryType.COLUMN       0.0   \n",
       "City Code                           10.0000  SummaryType.COLUMN       NaN   \n",
       "Transaction Batch                    0.0000  SummaryType.COLUMN       0.0   \n",
       "Date of Birth                           NaN  SummaryType.COLUMN       NaN   \n",
       "Customer ID                             NaN  SummaryType.COLUMN       NaN   \n",
       "Total Amount                       555.2625  SummaryType.COLUMN       NaN   \n",
       "Product Subcategory                     NaN  SummaryType.COLUMN       NaN   \n",
       "Product Subcategory Code            11.0000  SummaryType.COLUMN      12.0   \n",
       "\n",
       "                          ints/min  \\\n",
       "column                               \n",
       "Purchase Canceled              NaN   \n",
       "Age at Transaction Date        NaN   \n",
       "Transaction Week               0.0   \n",
       "Store Type                     NaN   \n",
       "Product Category               NaN   \n",
       "Gender                         NaN   \n",
       "Transaction ID                 NaN   \n",
       "Item Price                     NaN   \n",
       "Total Tax                      NaN   \n",
       "Product Category Code          1.0   \n",
       "Transaction Day of Week        0.0   \n",
       "City Code                      NaN   \n",
       "Transaction Batch              0.0   \n",
       "Date of Birth                  NaN   \n",
       "Customer ID                    NaN   \n",
       "Total Amount                   NaN   \n",
       "Product Subcategory            NaN   \n",
       "Product Subcategory Code       1.0   \n",
       "\n",
       "                                            frequent_items/frequent_strings  \n",
       "column                                                                       \n",
       "Purchase Canceled                                                       NaN  \n",
       "Age at Transaction Date                                                 NaN  \n",
       "Transaction Week          [FrequentItem(value='0.000000', est=909, upper...  \n",
       "Store Type                [FrequentItem(value='e-Shop', est=375, upper=3...  \n",
       "Product Category          [FrequentItem(value='Books', est=232, upper=23...  \n",
       "Gender                    [FrequentItem(value='M', est=455, upper=455, l...  \n",
       "Transaction ID            [FrequentItem(value='T40336799311', est=3, upp...  \n",
       "Item Price                                                              NaN  \n",
       "Total Tax                                                               NaN  \n",
       "Product Category Code     [FrequentItem(value='5.000000', est=232, upper...  \n",
       "Transaction Day of Week   [FrequentItem(value='0.000000', est=909, upper...  \n",
       "City Code                                                               NaN  \n",
       "Transaction Batch         [FrequentItem(value='0.000000', est=909, upper...  \n",
       "Date of Birth             [FrequentItem(value='1981-03-29', est=4, upper...  \n",
       "Customer ID               [FrequentItem(value='C274278', est=4, upper=3,...  \n",
       "Total Amount                                                            NaN  \n",
       "Product Subcategory       [FrequentItem(value='Women', est=133, upper=13...  \n",
       "Product Subcategory Code  [FrequentItem(value='4.000000', est=148, upper...  \n",
       "\n",
       "[18 rows x 24 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Note run any of the examples above to get the results for this block\n",
    "\n",
    "#grab profile from result set\n",
    "profile = results.profile()\n",
    "\n",
    "#grab a 'view' of the profile for inspection\n",
    "prof_view = profile.view()\n",
    "\n",
    "#inspect profile as a Pandas DataFrame\n",
    "prof_df = prof_view.to_pandas()\n",
    "prof_df"
   ]
  }
 ],
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