pandas/general_pandas_intro.ipynb

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   "source": [
    "# **General Pandas Introduction**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6f3pb4n-FgQ3"
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   "source": [
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/gawron/python-for-social-science/blob/master/pandas/general_pandas_intro.ipynb)"
   ]
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    "## **Lesson 1**  \n",
    "\n",
    "**Create Data** - We begin by creating our own data set for analysis. This prevents the end user reading this tutorial from having to download any files to replicate the results below. We will export this data set to a text file so that you can get some experience pulling data from a text file.  \n",
    "**Get Data** - We will learn how to read in the text file. The data consist of baby names and the number of baby names born in the year 1880.  \n",
    "**Prepare Data** - Here we will simply take a look at the data and make sure it is clean. By clean I mean we will take a look inside the contents of the text file and look for any anomalities. These can include missing data, inconsistencies in the data, or any other data that seems out of place. If any are found we will then have to make decisions on what to do with these records.  \n",
    "**Analyze Data** - We will simply find the most popular name in a specific year.  \n",
    "**Present Data** - Through tabular data and a graph, clearly show the end user what is the most popular name in a specific year.       \n",
    "    "
   ]
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  {
   "cell_type": "markdown",
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   "source": [
    "The ***pandas*** library is used for all the data analysis excluding a small piece of the data presentation section. The ***matplotlib*** library will only be needed for the data presentation section. Importing the libraries is the first step we will take in the lesson."
   ]
  },
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   "source": [
    "# Import all libraries needed for the tutorial\n",
    "\n",
    "# General syntax to import specific functions in a library: \n",
    "##from (library) import (specific library function)\n",
    "from pandas import DataFrame, read_csv\n",
    "\n",
    "# General syntax to import a library but no functions: \n",
    "##import (library) as (give the library a nickname/alias)\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd #only needed to determine version number\n",
    "\n",
    "# Enable inline plotting\n",
    "%matplotlib inline"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pandas version 1.3.5\n"
     ]
    }
   ],
   "source": [
    "print('Pandas version ' + pd.__version__)"
   ]
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   "cell_type": "markdown",
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   "source": [
    "# Create Data  \n",
    "\n",
    "The data set will consist of 5 baby names and the number of births recorded for that year (1880)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
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   "source": [
    "# The initial set of baby names and birth rates\n",
    "names = ['Bob','Jessica','Mary','John','Mel']\n",
    "births = [968, 155, 77, 578, 973]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NwPr3i1YACXq"
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   "source": [
    "To merge these two lists together we will use the ***zip*** function."
   ]
  },
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     "text": [
      "[('Bob', 968), ('Jessica', 155), ('Mary', 77), ('John', 578), ('Mel', 973)]\n"
     ]
    }
   ],
   "source": [
    "BabyDataSet = list(zip(names,births))\n",
    "print(BabyDataSet)"
   ]
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    "We are basically done creating the data set. We now will use the ***pandas*** library to export this data set into a csv file. \n",
    "\n",
    "***df*** will be a ***DataFrame*** object. You can think of this object holding the contents of the BabyDataSet in a format similar to a sql table or an excel spreadsheet. Lets take a look below at the contents inside ***df***."
   ]
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       "     Names  Births\n",
       "0      Bob     968\n",
       "1  Jessica     155\n",
       "2     Mary      77\n",
       "3     John     578\n",
       "4      Mel     973"
      ]
     },
     "execution_count": 31,
     "metadata": {},
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   "source": [
    "df = DataFrame(data = BabyDataSet, columns=['Names', 'Births'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BulbTIt5ACXw"
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   "source": [
    "The following method will  export the dataframe to a ***csv*** file. \n",
    "\n",
    "```\n",
    "df.to_csv(self, path_or_buf, sep=',', na_rep='', float_format=None,\n",
    "          cols=None, header=True, index=True, index_label=None, \n",
    "          mode='w', nanRep=None, encoding=None, quoting=None, \n",
    "          line_terminator='\\n')\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5zMf-1VoACXx"
   },
   "source": [
    "The only parameters we will use is ***index*** and ***header***. Setting these parameters to `False` will prevent the index and header names from being saved. Change the values of these parameters to get a better understanding of their use.\n",
    "\n",
    "We can name the new file ***births_example.csv***. "
   ]
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   "execution_count": 32,
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     "text": [
      "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "import os.path\n",
    "# Mount google drive to create a filesystem the notebook can use\n",
    "drive.mount('/content/gdrive') \n",
    "# Specify the code dir in the new filesystem.\n",
    "data_dir ='/content/gdrive/My Drive/'\n",
    "file_path = os.path.join(data_dir, 'births_example.csv')\n",
    "df.to_csv(file_path,index=False,header=False)\n",
    "#df.to_csv('births_example.csv',index=False,header=False)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "id": "NT5Z7o8pACXz"
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   "source": [
    "## Get Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DKs1CHOiACXz"
   },
   "source": [
    "To read back the text file we just created, we will use the pandas function *read_csv*. Let us take a look at this function and what inputs it takes.  \n",
    "\n",
    "```\n",
    "read_csv(filepath_or_buffer, \n",
    "         dialect=None, compression=None, doublequote=True, \n",
    "         escapechar=None, quotechar='\"',quoting=0,        \n",
    "         skipinitialspace=False, lineterminator=None,\n",
    "         header='infer', index_col=None, names=None,       \n",
    "         skiprows=None, skipfooter=None, skip_footer=0, \n",
    "         na_values=None, true_values=None, false_values=None, \n",
    "         delimiter=None, converters=None, dtype=None, \n",
    "         usecols=None, engine='c', delim_whitespace=False,     \n",
    "         as_recarray=False, na_filter=True, compact_ints=False, \n",
    "         use_unsigned=False, low_memory=True, buffer_lines=None, \n",
    "         warn_bad_lines=True, error_bad_lines=True, \n",
    "         keep_default_na=True, thousands=None, \n",
    "         comment=None, decimal='.', parse_dates=False, \n",
    "         keep_date_col=False, dayfirst=False, date_parser=None, \n",
    "         memory_map=False, nrows=None, iterator=False, \n",
    "         chunksize=None, verbose=False, encoding=None, \n",
    "         squeeze=False)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O4HdofGTACX0"
   },
   "source": [
    "As you can see, there are many options as to how you read a file in, or\n",
    "how much of it you read in or what you Python/pandas types you convert the data into on reading.\n",
    "More information about the `read_csv` function in `pandas` can be found by executing\n",
    "\n",
    "```\n",
    "read_csv?\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sWe7CJ6zACX1"
   },
   "source": [
    "Even though this functions has many parameters, only one is obliatory. We will simply pass in that obligatory argument, which specifies the location of the text file.  All the other function parameters will be set to their default values.  As an example, the following is a string is an **example** (full path) file location string on\n",
    "a Windows machine.\n",
    "\n",
    "```\n",
    "file_path = '/content/gdrive/My Drive/births_example.csv'\n",
    "```\n",
    "Notice the ***r*** before the string. Since the slashes are special characters, prefixing the string with a ***r*** will escape the whole string.  That is, it will keep the slashes from getting their usual special-character interpretation.\n",
    "\n",
    "***Note:*** Depending on where you save your notebooks, you may need to modify the location above.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Lq8tZ2nDACX1"
   },
   "source": [
    "The next cell assumes you have placed `births_example.csv` in the same directory as your notebook.  We use an IPython magic command to look at the contents of the file.  On a Unix machine, use \n",
    "\n",
    "```\n",
    "%cat /content/gdrive/My\\ Drive/births_example.csv\n",
    "```\n",
    "\n",
    "On a Windows machine, the above may not work, and you may need to do\n",
    "\n",
    "```\n",
    "%cat /content/gdrive/My\\ Drive/births_example.csv\n",
    "```\n",
    "\n",
    "Apparently, some Windows versions (Windows 10?) no longer support the magic command above. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DgzCwtSbACX2",
    "outputId": "40a89892-4687-4938-8788-2743f99bedb2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bob,968\n",
      "Jessica,155\n",
      "Mary,77\n",
      "John,578\n",
      "Mel,973\n"
     ]
    }
   ],
   "source": [
    "%cat /content/gdrive/My\\ Drive/births_example.csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K3EtkdIqACX4"
   },
   "source": [
    "What we have is a toy example of some names data, 5 names and their counts, with no information about the names of the columns.  The file is in **csv** format; each line is a data item, with column information separated by commas.  We will read this in using the `pandas` `read_csv` function, which reads a CSV file into a `DataFrame`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "-BD2h5_dACX4"
   },
   "outputs": [],
   "source": [
    "import os.path\n",
    "df =pd.read_csv(file_path)"
   ]
  },
  {
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   "execution_count": 34,
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       "       Bob  968\n",
       "0  Jessica  155\n",
       "1     Mary   77\n",
       "2     John  578\n",
       "3      Mel  973"
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     "execution_count": 34,
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4 entries, 0 to 3\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   Bob     4 non-null      object\n",
      " 1   968     4 non-null      int64 \n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 192.0+ bytes\n"
     ]
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   "source": [
    "df.info()"
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  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "P2cAUqziACX-"
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   "source": [
    "This brings us the our first problem of the exercise. The ***read_csv*** function treated the first record in the text file as column names (or **headers**). This is obviously not correct since the text file did not provide us with column names.  \n",
    "\n",
    "To correct this we will pass the ***header*** parameter to the *read_csv* function and set it to ***None*** (means null in python)."
   ]
  },
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       "         0    1\n",
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       "1  Jessica  155\n",
       "2     Mary   77\n",
       "3     John  578\n",
       "4      Mel  973"
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    "df = read_csv(file_path, header=None)\n",
    "df"
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    "The column names now shown are arbitrary default choices, the integers  0 and 1.  If we wanted to give the columns specific names, we would have to pass another parameter called ***names***. We can also omit the *header* parameter."
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      "<class 'pandas.core.frame.DataFrame'>\n",
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      " 0   0       5 non-null      object\n",
      " 1   1       5 non-null      int64 \n",
      "dtypes: int64(1), object(1)\n",
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       "\n",
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       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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      "text/plain": [
       "     Names  Births\n",
       "0      Bob     968\n",
       "1  Jessica     155\n",
       "2     Mary      77\n",
       "3     John     578\n",
       "4      Mel     973"
      ]
     },
     "execution_count": 38,
     "metadata": {},
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   "source": [
    "df = read_csv(file_path, names=['Names','Births'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DoG48MyOACYF"
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    "We can use Boolean conditions on columns (`pandas` Series objects) much as we did on `numpy` arrays. The result is a `Boolean Series` we can use as a mask, just as we did with arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    },
    "id": "-9divaVyACYG",
    "outputId": "03c0de98-ae1c-4916-b54c-20bb0acabe5e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "2    False\n",
       "3     True\n",
       "4     True\n",
       "Name: Births, dtype: bool"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
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   ],
   "source": [
    "df['Births'] > 500"
   ]
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   "source": [
    "We can also use bitwise \"and\".  Conceptually this has the same meaning as Python `and`, but it works on Boolean arrays and performs an elementwise `&` on two arrays of the same size, producing an array that has `True` wherever both the input arrays have `True`, and `False` elsewhere.  In `pandas`, where the Boolean arrays represent conditions defining sets of rows, the `&` finds the rows that satisfy **both** conditions."
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5 entries, 0 to 4\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   Names   5 non-null      object\n",
      " 1   Births  5 non-null      int64 \n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 208.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Jc2GnVIVACYR"
   },
   "source": [
    "You can think of the numbers [0,1,2,3,4] as the row numbers in an Excel file. In pandas these are part of the ***index*** of the dataframe. You can think of the index as the primary key of a sql table with the exception that an index is allowed to have duplicates.  \n",
    "\n",
    "[Names, Births] can be thought of as column headers similar to the ones found in an Excel spreadsheet or sql database.\n",
    "\n",
    "The data type `object` seen  in the above info priontout is the data type `pandas` assigns to string columns, so this is what we expect for the column labeled `Names`, a coulmn of strings.  Similarly, the column labeled `Births` is a column of name counts, so we expect `integer` to be the type and it is.  The main surprise we may sometimes get with read-in data is that the type of one column is not numerical when it should be, or does not represent dates or times when it should.  We do not address these issues here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Wlemw0p3ACYR"
   },
   "source": [
    "## Analyze Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eJWjBcBxACYR"
   },
   "source": [
    "To find the most popular name or the baby name with the higest birth rate, we can do one of the following.  \n",
    "\n",
    "* Sort the dataframe and select the top row\n",
    "* Use the ***max()*** attribute to find the maximum value\n",
    "\n",
    "First we sort a column (Series)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "m0IKACpMACYR",
    "outputId": "87f65724-ff2a-474b-9e4b-8e7b24317486"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    968\n",
      "1    155\n",
      "2     77\n",
      "3    578\n",
      "4    973\n",
      "Name: Births, dtype: int64\n",
      "4    973\n",
      "0    968\n",
      "3    578\n",
      "1    155\n",
      "2     77\n",
      "Name: Births, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df['Births'])\n",
    "Sorted = df['Births'].sort_values(ascending=False)\n",
    "print(Sorted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GtvZoKZUACYT"
   },
   "source": [
    "Next we create a new dataframe, sorting the rows according to values in a particular column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mZ4UMclyACYT",
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     Names  Births\n",
      "4      Mel     973\n",
      "0      Bob     968\n",
      "3     John     578\n",
      "1  Jessica     155\n",
      "2     Mary      77\n"
     ]
    }
   ],
   "source": [
    "# Method 1 (old pandas)\n",
    "Sorted_df = df.sort_values(['Births'], ascending= False)\n",
    "print(Sorted_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IaO9n6BoACYV"
   },
   "source": [
    "Just show the most popular name,"
   ]
  },
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   "execution_count": null,
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    "colab": {
     "base_uri": "https://localhost:8080/",
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    "outputId": "3aac6627-7d83-429c-8bb9-c96318d60b13",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  Names  Births\n",
       "4   Mel     973"
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   "source": [
    "Sorted_df.head(1)"
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   "cell_type": "markdown",
   "metadata": {
    "id": "WqiROw9lACYZ"
   },
   "source": [
    "Of course if all we were interested in was the count of the most popular name, we could do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "973"
      ]
     },
     "execution_count": 35,
     "metadata": {
      "tags": []
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     "output_type": "execute_result"
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   ],
   "source": [
    "# Method 2:\n",
    "df['Births'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oIJ_OlMEACYb"
   },
   "source": [
    "## Present Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8M4AXWd_ACYb"
   },
   "source": [
    "We learned how to find the maximum value of the Births column in the previous section. But that did not display the name that has that count (Mel). We also learned how to sort the data frame, which gives us both count of the most popular name and the name itself, because we get a sorted version of the entire data frame. Selecting the top row or (**record**) gives us the name and its count.  We could also find the top 10 most popular names, and so on, so it's a more informative (and more computationally expensive) way of processing the data.\n",
    "\n",
    "Let's now look at a still more powerful device, one that lets us select  data records using almost any condition, as well as any column (`Series`) filtered by such a condition.  We'll build up an expression finding the most popular name, piece by piece.  \n",
    "\n",
    "**Explain the pieces:** \n",
    "\n",
    "1. *df['Names']* - This is the entire Names column. It is a pandas `Series`. \n",
    "2. *df['Births']* - This is the entire `Births` column, another `Series`.  \n",
    "3. *df['Births'].max()* - This is the maximum value found in the Births column.  \n",
    "4. df['Births'] == df['Births'].max() **Returns** [A Boolean \n",
    "    Series, `True` for all records such that the Births column\n",
    "    equals 973, `False` elsewhere]  \n",
    "5. df['Names'][df['Births'] == df['Births'].max()] **Returns** [A Series containing only the names in the Names column **WHERE** [The Births column is equal to 973]  \n",
    "\n",
    "Note the difference between\n",
    "\n",
    "```\n",
    "df[df['Births'] == df['Births'].max()]\n",
    "```\n",
    "\n",
    "and \n",
    "\n",
    "```\n",
    "df['Names'][df['Births'] == df['Births'].max()]\n",
    "```\n",
    "\n",
    "We discuss the uses of `Series` in column selection in more detail in the section on Selection.\n",
    "\n",
    "The former returns the records with the count of the most popular name; it is a `DataFrame`.  The latter returns the names with the count of the most popular name.  It is a `Series`."
   ]
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    {
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       "0    False\n",
       "1    False\n",
       "2    False\n",
       "3    False\n",
       "4     True\n",
       "Name: Births, dtype: bool"
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   "source": [
    "df['Births'] == df['Births'].max() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "c8PxPj3ZACYd"
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   "source": [
    "So to get the row for the most popular name in one step, we do:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IQMEtj87ACYd"
   },
   "source": [
    "Next we plot the ***Births*** column and label the graph to show the end user the highest point on the graph, using the code we just explained to find the most popular name and its count.\n",
    "\n",
    "***plot()*** is a convenient attribute where pandas lets you painlessly plot the data in your dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    },
    "id": "jPaVJDuCACYe",
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    {
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     "text": [
      "The most popular name\n"
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create graph\n",
    "df['Births'].plot()\n",
    "\n",
    "# Maximum value in the data set\n",
    "MaxValue = df['Births'].max()\n",
    "\n",
    "# Name associated with the maximum value\n",
    "MaxName = df['Names'][df['Births'] == df['Births'].max()].values\n",
    "\n",
    "# Text to display on graph\n",
    "Text = str(MaxValue) + \" - \" + MaxName\n",
    "\n",
    "# Add text to graph\n",
    "plt.annotate(Text, xy=(1, MaxValue), xytext=(8, 0), \n",
    "             xycoords=('axes fraction', 'data'), \n",
    "             textcoords='offset points')\n",
    "\n",
    "print(\"The most popular name\")\n",
    "df[df['Births'] == df['Births'].max()]\n",
    "#Sorted.head(1) can also be used"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 80
    },
    "id": "4SUD1k3VACYf",
    "outputId": "3a4a07a3-eab2-4222-a92b-c1adbe8c3352"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Names</th>\n",
       "      <th>Births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mel</td>\n",
       "      <td>973</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Names  Births\n",
       "4   Mel     973"
      ]
     },
     "execution_count": 38,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Births'] == df['Births'].max()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mw30W7xHACYh"
   },
   "source": [
    "**Author:** [David Rojas LLC](http://hdrojas.pythonanywhere.com/)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JrcmSlReBBWD"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QUxad19HBIHk"
   },
   "source": [
    "##. Loading the Baby names data onto your Google Drive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2aWPmlj4BcEJ"
   },
   "source": [
    "First we specify the github URL, tweak it for **raw** data download (as opposed to browser- and display- oriented file serving), and "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "1o9jN6MFBcEK"
   },
   "outputs": [],
   "source": [
    "import urllib.request\n",
    "import tarfile\n",
    "import os.path\n",
    "\n",
    "##. Where the data is on github\n",
    "base = 'baby_names'\n",
    "fn = f'{base}.tar.gz'\n",
    "# The usual URL you visit with your browser\n",
    "url = f'https://github.com/gawron/python-for-social-science/blob/master/pandas/{fn}'\n",
    "# The download URL for downloading raw data.\n",
    "thetarfile = url.replace('github','raw.githubusercontent')\n",
    "thetarfile = thetarfile.replace('blob/','')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gOJPzv9HBcEO"
   },
   "source": [
    "We prepare a `data_dir` folder on our google drive to save it in (lines 1-10)\n",
    "\n",
    "We connect to `data_dir` to make untarring easier. (Line 11)\n",
    "\n",
    "Finally we extract the data from the tar archive on github Because we are conected to `data)_dir`, the files are extracted into `data_dir` (lines 13-17)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "mj_f3VkfBcEO"
   },
   "outputs": [],
   "source": [
    "# Prepare a home for extracted data files on your Gdrive\n",
    "# Change this if you want to run this as a jupyter NB\n",
    "# and store the data on your local disk drive.\n",
    "working_dir = '/content/gdrive/My Drive/'\n",
    "data_dir = os.path.join(working_dir,'data')\n",
    "try:\n",
    "  # create directory if necessary\n",
    "  os.makedirs(data_dir)\n",
    "except:\n",
    "  pass\n",
    "os.chdir(data_dir)\n",
    "\n",
    "#  When we extract we will extract into data_dir\n",
    "# This may take a few minutes!\n",
    "with urllib.request.urlopen(thetarfile) as tarhandle:\n",
    "  # creates a TarFile inst, note weird mode for unzipping on remote stream\n",
    "  thetarstream = tarfile.open(fileobj=tarhandle, mode=\"r|gz\")\n",
    "  # Extract all files into current directory\n",
    "  thetarstream.extractall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "id": "2tYMrSix2-sS",
    "outputId": "ae927800-24b2-4ba1-8b29-6e03994e8d49"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/content/gdrive/My Drive/data'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Klks1kA_2CFl",
    "outputId": "9809d605-59f8-4dcb-df61-0a962050f4bd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BicycleWeather.csv     names\t\t      state-abbrevs.csv\n",
      "births.csv\t       president_heights.csv  state-areas.csv\n",
      "california_cities.csv  Seattle2014.csv\t      state-population.csv\n"
     ]
    }
   ],
   "source": [
    "!ls /content/gdrive/My\\ Drive/data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jwe4m8aRBcEQ"
   },
   "source": [
    "The unzipped files (a whole bunch of them) now reside in `data_dir` on my Gdrive.\n",
    "\n",
    "The next code cell assumes you are still connected to`data_dir`, where the extraction happened.\n",
    "\n",
    "The `tar` extraction put all teh babynames files into a subdirectory of `data_dir` named `names`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "ZKLaLZ1IBcER"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "years = list(range(1880,2011))\n",
    "pieces = []\n",
    "columns = ['name','sex','births']\n",
    "    \n",
    "for year in years:\n",
    "    path = f'names/yob{year:d}.txt'\n",
    "    frame = pd.read_csv(path,names=columns)\n",
    "    frame['year'] = year\n",
    "    pieces.append(frame)    \n",
    "    \n",
    "names = pd.concat(pieces, ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oRKl68h_BcES"
   },
   "source": [
    "We first build the list `pieces` in the `for`-loop; `pieces` is a list of frames.  We then concatenate that list into a single large frame called `names`, ignoring the indexes in the old frames.  We ignore the indexes because they will just be record numbers, and rather than have a large number of records indexed `1` (1 from each year), we renumber them all.\n",
    "\n",
    "Think about why it's hard to build the list `pieces` with a list comprehension instead of  the way it's done in the above cell.\n",
    "Notice the following doesn't work.  Python requires an expression\n",
    "as the first component of a list comprehension.  One reason for this is that list comprehensions are supposed to improve readability.  Complex sequences of commands don't do that, and the `for`-loop above is much more understandable.\n",
    "\n",
    "```\n",
    "pieces = [f=pd.read_csv('names/yob{0:d}.txt'.format(year),names=columns);\n",
    "          f['year']=year; f\n",
    "          for year in years]\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "iLltVfaHBcET",
    "outputId": "38022814-539a-4e5b-ba66-2be7cedc7dbe"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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       "      <th>name</th>\n",
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       "      <th>births</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mary</td>\n",
       "      <td>F</td>\n",
       "      <td>7065</td>\n",
       "      <td>1880</td>\n",
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       "    <tr>\n",
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       "      <td>Anna</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Emma</td>\n",
       "      <td>F</td>\n",
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       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Minnie</td>\n",
       "      <td>F</td>\n",
       "      <td>1746</td>\n",
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       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
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       "\n",
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       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
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       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "        name sex  births  year\n",
       "0       Mary   F    7065  1880\n",
       "1       Anna   F    2604  1880\n",
       "2       Emma   F    2003  1880\n",
       "3  Elizabeth   F    1939  1880\n",
       "4     Minnie   F    1746  1880"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3ZG6K5pJ3htl",
    "outputId": "f662e021-e4b2-49ec-a252-8d44cd2ff07c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1690784 entries, 0 to 1690783\n",
      "Data columns (total 4 columns):\n",
      " #   Column  Non-Null Count    Dtype \n",
      "---  ------  --------------    ----- \n",
      " 0   name    1690784 non-null  object\n",
      " 1   sex     1690784 non-null  object\n",
      " 2   births  1690784 non-null  int64 \n",
      " 3   year    1690784 non-null  int64 \n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 51.6+ MB\n"
     ]
    }
   ],
   "source": [
    "names.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "arF5qywwACYh"
   },
   "source": [
    "## Selection: Selecting parts of Pandas data frames"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-u6hcYqxACYi"
   },
   "source": [
    "We create a Pandas data frame with babynames data.  We focus on how to select data.   For much more detailed background on Pandas data structures, see http://pandas.pydata.org/pandas-docs/dev/dsintro.html."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6hs8cEF1ACYi"
   },
   "source": [
    "Let's cook up a bunch of 3 letter codes to label some data with.  The choice is fairly arbitrary.\n",
    "We're just going to use them to label some data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "79djN56GACYi"
   },
   "outputs": [],
   "source": [
    "from string import ascii_lowercase\n",
    "codes = [x + y + z for x in ascii_lowercase for y in ascii_lowercase for z in ascii_lowercase]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "r3rVDw5fACYk",
    "outputId": "d229c57d-1da1-4bfa-f04c-2c1f808073c6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "abcdefghijklmnopqrstuvwxyz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['aaa',\n",
       " 'aab',\n",
       " 'aac',\n",
       " 'aad',\n",
       " 'aae',\n",
       " 'aaf',\n",
       " 'aag',\n",
       " 'aah',\n",
       " 'aai',\n",
       " 'aaj',\n",
       " 'aak',\n",
       " 'aal',\n",
       " 'aam',\n",
       " 'aan',\n",
       " 'aao',\n",
       " 'aap',\n",
       " 'aaq',\n",
       " 'aar',\n",
       " 'aas',\n",
       " 'aat',\n",
       " 'aau',\n",
       " 'aav',\n",
       " 'aaw',\n",
       " 'aax',\n",
       " 'aay',\n",
       " 'aaz',\n",
       " 'aba',\n",
       " 'abb',\n",
       " 'abc',\n",
       " 'abd',\n",
       " 'abe',\n",
       " 'abf',\n",
       " 'abg',\n",
       " 'abh',\n",
       " 'abi',\n",
       " 'abj',\n",
       " 'abk',\n",
       " 'abl',\n",
       " 'abm',\n",
       " 'abn',\n",
       " 'abo',\n",
       " 'abp',\n",
       " 'abq',\n",
       " 'abr',\n",
       " 'abs',\n",
       " 'abt',\n",
       " 'abu',\n",
       " 'abv',\n",
       " 'abw',\n",
       " 'abx']"
      ]
     },
     "execution_count": 45,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(ascii_lowercase)\n",
    "codes[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GX5GpFOaCWAx",
    "outputId": "1337a3c3-4107-4a87-936b-fcf7e9aad129"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "L = os.listdir('names')\n",
    "'yob1881.txt' in L"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "M47E2yMbDLsk"
   },
   "source": [
    "Note: The code below assumes you have executed the cells above which load the baby names data onto your Google Drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 441
    },
    "id": "xBfH36KpACYl",
    "outputId": "5e21619f-9ed1-405b-e885-928cf14c6536",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1935 names in the 1881 data \n"
     ]
    },
    {
     "data": {
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       "\n",
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       "      <th>3</th>\n",
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       "    <tr>\n",
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       "      <td>F</td>\n",
       "      <td>1658</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>1930</th>\n",
       "      <td>Wiliam</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>Wing</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>Wood</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1934</th>\n",
       "      <td>Wright</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1935 rows × 3 columns</p>\n",
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       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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       "            + ' to learn more about interactive tables.';\n",
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       "  "
      ],
      "text/plain": [
       "           name sex  births\n",
       "0          Mary   F    6919\n",
       "1          Anna   F    2698\n",
       "2          Emma   F    2034\n",
       "3     Elizabeth   F    1852\n",
       "4      Margaret   F    1658\n",
       "...         ...  ..     ...\n",
       "1930     Wiliam   M       5\n",
       "1931     Wilton   M       5\n",
       "1932       Wing   M       5\n",
       "1933       Wood   M       5\n",
       "1934     Wright   M       5\n",
       "\n",
       "[1935 rows x 3 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "year = 1881\n",
    "names1881 = pd.read_csv('names/yob1881.txt',names=['name','sex','births'])\n",
    "print(f\"There are {len(names1881)} names in the {year} data \")\n",
    "names1881"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HBoi-VoLACYn"
   },
   "source": [
    "Notice the rows are indexed with numbers.  We could if we wished assign an arbitrary set of code names to the rows,\n",
    "and sequence of strings of the right length.  Here's a silly choice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Ec0Q-P2XACYo"
   },
   "outputs": [],
   "source": [
    "from string import ascii_lowercase\n",
    "codes = [x + y + z for x in ascii_lowercase for y in ascii_lowercase for z in ascii_lowercase]\n",
    "names1881.index = codes[:1935]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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      "text/plain": [
       "          name sex  births\n",
       "aaa       Mary   F    6919\n",
       "aab       Anna   F    2698\n",
       "aac       Emma   F    2034\n",
       "aad  Elizabeth   F    1852\n",
       "aae   Margaret   F    1658\n",
       "..         ...  ..     ...\n",
       "cwg     Wiliam   M       5\n",
       "cwh     Wilton   M       5\n",
       "cwi       Wing   M       5\n",
       "cwj       Wood   M       5\n",
       "cwk     Wright   M       5\n",
       "\n",
       "[1935 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
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    }
   ],
   "source": [
    "names1881"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aJGudGjeACYs"
   },
   "source": [
    "The first ten rows.  Note the type is still a data frame, just a smaller one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    },
    "id": "WcnFeQ0YACYt",
    "outputId": "1fa5a5e1-b6e8-4044-d67b-ded320822057"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
    },
    {
     "data": {
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       "      <td>Alice</td>\n",
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       "\n",
       "      <script>\n",
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       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
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       "  "
      ],
      "text/plain": [
       "          name sex  births\n",
       "aaa       Mary   F    6919\n",
       "aab       Anna   F    2698\n",
       "aac       Emma   F    2034\n",
       "aad  Elizabeth   F    1852\n",
       "aae   Margaret   F    1658\n",
       "aaf     Minnie   F    1653\n",
       "aag        Ida   F    1439\n",
       "aah      Annie   F    1326\n",
       "aai     Bertha   F    1324\n",
       "aaj      Alice   F    1308"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881[:10]))\n",
    "names1881[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "mawJaiUYACYv"
   },
   "source": [
    "Retrieve the gender column, and display the last part."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xTF4eNYWACYv",
    "outputId": "55777006-e113-4c40-c85d-12613190bc5b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cwg    M\n",
       "cwh    M\n",
       "cwi    M\n",
       "cwj    M\n",
       "cwk    M\n",
       "Name: sex, dtype: object"
      ]
     },
     "execution_count": 50,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names1881['sex'].tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oomp8YkIACYy"
   },
   "source": [
    "A Boolean test, returning a DataFrame that has one column, a column of Booleans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "L8PCGojoACYy",
    "outputId": "b9c89da6-4750-4a5c-9ad5-1cd256b43f7f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "aaa     True\n",
       "aab     True\n",
       "aac     True\n",
       "aad     True\n",
       "aae     True\n",
       "       ...  \n",
       "cwg    False\n",
       "cwh    False\n",
       "cwi    False\n",
       "cwj    False\n",
       "cwk    False\n",
       "Name: sex, Length: 1935, dtype: bool"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881['sex']=='F'))\n",
    "names1881['sex']=='F'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jty9sSqTACY0"
   },
   "source": [
    "You can pick out a subdata frame with only two columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 436
    },
    "id": "eolw90L5ACY2",
    "outputId": "760c7d28-57a3-4ff2-de03-78e09b953379"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
    },
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     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
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       "      <td>2034</td>\n",
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       "      <th>aad</th>\n",
       "      <td>F</td>\n",
       "      <td>1852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aae</th>\n",
       "      <td>F</td>\n",
       "      <td>1658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cwg</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cwh</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cwi</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cwj</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cwk</th>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1935 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    sex  births\n",
       "aaa   F    6919\n",
       "aab   F    2698\n",
       "aac   F    2034\n",
       "aad   F    1852\n",
       "aae   F    1658\n",
       "..   ..     ...\n",
       "cwg   M       5\n",
       "cwh   M       5\n",
       "cwi   M       5\n",
       "cwj   M       5\n",
       "cwk   M       5\n",
       "\n",
       "[1935 rows x 2 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881[['sex','births']]))\n",
    "names1881[['sex','births']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Fpx1bnNpACY4"
   },
   "source": [
    "You can leave out one pair of square brackets to get another type of Pandas object called a Series.  A series is halfway from an array to a dataframe, basically an labeled array with one data type.  Notice the row names (or index) of the orginal data frame is preserved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "JX8vIpNCACY5",
    "outputId": "ce3688e5-e68e-4260-ba61-5b5e5293772b",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "aaa    F\n",
       "aab    F\n",
       "aac    F\n",
       "aad    F\n",
       "aae    F\n",
       "      ..\n",
       "cwg    M\n",
       "cwh    M\n",
       "cwi    M\n",
       "cwj    M\n",
       "cwk    M\n",
       "Name: sex, Length: 1935, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881['sex']))\n",
    "names1881['sex']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RRVReJxYACY6"
   },
   "source": [
    "You can think of a series as dictionary like, in that you retrieve data values with dictionary-like indexing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "Sn8tHT5BACY6",
    "outputId": "57232c3d-9109-4037-d261-059987db4fee"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'M'"
      ]
     },
     "execution_count": 57,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names1881['sex']['cvw']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9niLbJJ2ACY9"
   },
   "source": [
    "You can ALSO retrieve data by numerical index.  The order in which the data has been read in preserved.  EITHER\n",
    "kind of indexing works.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "puN5oDccACY9",
    "outputId": "4f3b5d35-a51b-4639-f5a0-c5eacf6ac839"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'F'"
      ]
     },
     "execution_count": 27,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names1881['sex'][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cRNX6MRVACY_"
   },
   "source": [
    "That's why a Series is referred to as an *ordered set* in the Pandas documentation.  There are no duplicate names, as with dictionary keys, but there is also ordering."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ImO9J-AuACY_"
   },
   "source": [
    "You can also create a Boolean series containing Booleans.  The following cell creates such a series and prints out the tail (the last few items in the ordering):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "RQ9t0EfUACY_",
    "outputId": "e6755f92-38ad-42a9-8835-3b22729ae04d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cwg    False\n",
       "cwh    False\n",
       "cwi    False\n",
       "cwj    False\n",
       "cwk    False\n",
       "Name: name, dtype: bool"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " (names1881['name']=='Lee').tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HzdCjEtoACZA"
   },
   "source": [
    "Then you can use that series to create to create a much shorter sub data frame of the original data frame that has only the\n",
    "rows with name *Lee*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    },
    "id": "CzHG0PhrACZB",
    "outputId": "acfd404a-74a4-45e6-e7b5-abdfe5d57ac2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
    },
    {
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       "                                                     [key], {});\n",
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       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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      ],
      "text/plain": [
       "    name sex  births\n",
       "ajy  Lee   F      39\n",
       "blt  Lee   M     342"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881['name']=='Lee'))\n",
    "lee_rows = names1881[names1881['name']=='Lee']\n",
    "print(type(lee_rows))\n",
    "lee_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lVl1ghjIACZD"
   },
   "source": [
    "So `lee_rows` is a `DataFrame` containing only the rows for people named \"Lee\".  Unlike a `Series` a `DataFrame` can contain multiple columns.  We used the Boolean `[name]=='Lee'` `Series` as a Boolean-condition\n",
    "to create the `lee_rows` `DataFrame`:\n",
    "\n",
    "```\n",
    "lee_rows = names1881[<Boolean-Condition>]\n",
    "```\n",
    "\n",
    "In particular, the Boolean-condition was:\n",
    "\n",
    "```\n",
    "lee_rows = names1881[names1881['name']=='Lee']\n",
    "```\n",
    "\n",
    "and using a Boolean Series to specify a Boolean condition is one very powerful technique for picking out a sub-`DataFrame` of a `DataFrame`.\n",
    "\n",
    "This example also shows why we couldn't use the `name` column to index the data.  There are names that occur in two rows, because they are both male and female names."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ia8mVtPkACZE"
   },
   "source": [
    "You can also pick out a sub data frame with just the female names. We do that and print out the tail to show we've got a `female_rows` `DataFrame` with about half the data of the original `DataFrame`."
   ]
  },
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     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "<class 'pandas.core.frame.DataFrame'>\n"
     ]
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       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "       name sex  births\n",
       "bjx   Tinie   F       5\n",
       "bjy    Tiny   F       5\n",
       "bjz  Vernon   F       5\n",
       "bka  Verona   F       5\n",
       "bkb   Viney   F       5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(type(names1881['sex']=='F'))\n",
    "female_rows = names1881[names1881['sex']=='F']\n",
    "print(type(female_rows))\n",
    "female_rows.tail()"
   ]
  },
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       "          name sex  births\n",
       "aaa       Mary   F    6919\n",
       "aab       Anna   F    2698\n",
       "aac       Emma   F    2034\n",
       "aad  Elizabeth   F    1852\n",
       "aae   Margaret   F    1658"
      ]
     },
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    "female_rows.head()"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    },
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     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 938 entries, aaa to bkb\n",
      "Data columns (total 3 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   name    938 non-null    object\n",
      " 1   sex     938 non-null    object\n",
      " 2   births  938 non-null    int64 \n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 29.3+ KB\n"
     ]
    }
   ],
   "source": [
    "female_rows.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1935 entries, aaa to cwk\n",
      "Data columns (total 3 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   name    1935 non-null   object\n",
      " 1   sex     1935 non-null   object\n",
      " 2   births  1935 non-null   int64 \n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 60.5+ KB\n"
     ]
    }
   ],
   "source": [
    "names1881.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-TW6cfb9ACZM"
   },
   "source": [
    "## Aggregation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "kkAMgGjBACZM",
    "outputId": "020066f0-dfe6-42fa-80dc-e3a095aba604"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99.58811369509044"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names1881['births'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3A1hz5D4ACZN"
   },
   "source": [
    "This command took the mean of all the the male and female name counts\n",
    "for the year 1881.\n",
    "So much for the year 1881.  Now let's look\n",
    "at the other years, each of which is stored in its own file,\n",
    "to see how combining Python's IO capabilities\n",
    "with some panda data frame building tools,\n",
    "provides a useful view of the data::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
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    "id": "SWngTN3ZACZQ",
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   "outputs": [
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       "                                                     [key], {});\n",
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       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
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      "text/plain": [
       "        name sex  births  year\n",
       "0       Mary   F    7065  1880\n",
       "1       Anna   F    2604  1880\n",
       "2       Emma   F    2003  1880\n",
       "3  Elizabeth   F    1939  1880\n",
       "4     Minnie   F    1746  1880"
      ]
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      ],
      "text/plain": [
       "              name sex  births  year\n",
       "1690779    Zymaire   M       5  2010\n",
       "1690780     Zyonne   M       5  2010\n",
       "1690781  Zyquarius   M       5  2010\n",
       "1690782      Zyran   M       5  2010\n",
       "1690783      Zzyzx   M       5  2010"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names.tail()"
   ]
  },
  {
   "cell_type": "markdown",
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    "id": "qcRwk5KDKxtm"
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   "source": [
    "Next we do some aggregation of the combined data.\n",
    "\n",
    "A simple pivot table.  The default agggregtion function is sum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "-GTRK9vSKnSI"
   },
   "outputs": [],
   "source": [
    "pt = names.pivot_table('births','sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
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    "id": "96OnO_coK17W",
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    {
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      "text/plain": [
       "         births\n",
       "sex            \n",
       "F    159.355110\n",
       "M    236.477611"
      ]
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     "execution_count": 46,
     "metadata": {},
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    "pt"
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  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9nq7ICzcG0o4"
   },
   "source": [
    "More interestingly, let's say we want to study births by gender year by year,\n",
    "tracing population growth but observing its differences for males\n",
    "and females.  We want aggregate figures for year, gender pairs: say, total Births for females in 2007 (F,2007), and total Births for males in 2007 (M,2007).  For this  we want a new table which has rows and columns representing gender and year where a single cell shows the total births for a particular gender for a particular year.  So want one of two **pivot tables**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Ty4aX2HOACZT"
   },
   "outputs": [],
   "source": [
    "total_births = names.pivot_table('births','year', \n",
    "                                 columns='sex', aggfunc=sum)\n",
    "total_births2 = names.pivot_table('births','sex', \n",
    "                                 columns='year', aggfunc=sum)"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yVhHFmYaACZU"
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   "source": [
    "This uses the `names` `DataFrame` to create a new `DataFrame` which aggregates the data by year and sex, summing the values of the `births` column in `names` for each year and sex."
   ]
  },
  {
   "cell_type": "code",
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    "outputId": "7c29c81b-e81f-4d40-dbe9-3306c34236bf",
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       "sex         F        M\n",
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    "The genders became columns."
   ]
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  {
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   "outputs": [
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>90993</td>\n",
       "      <td>91955</td>\n",
       "      <td>107851</td>\n",
       "      <td>112322</td>\n",
       "      <td>129021</td>\n",
       "      <td>133056</td>\n",
       "      <td>144538</td>\n",
       "      <td>145983</td>\n",
       "      <td>178631</td>\n",
       "      <td>178369</td>\n",
       "      <td>190377</td>\n",
       "      <td>185486</td>\n",
       "      <td>212350</td>\n",
       "      <td>212908</td>\n",
       "      <td>222923</td>\n",
       "      <td>233632</td>\n",
       "      <td>237924</td>\n",
       "      <td>234199</td>\n",
       "      <td>258771</td>\n",
       "      <td>233022</td>\n",
       "      <td>299873</td>\n",
       "      <td>239351</td>\n",
       "      <td>264079</td>\n",
       "      <td>261976</td>\n",
       "      <td>275375</td>\n",
       "      <td>291641</td>\n",
       "      <td>295301</td>\n",
       "      <td>318558</td>\n",
       "      <td>334277</td>\n",
       "      <td>347191</td>\n",
       "      <td>396416</td>\n",
       "      <td>418180</td>\n",
       "      <td>557939</td>\n",
       "      <td>624317</td>\n",
       "      <td>761376</td>\n",
       "      <td>983824</td>\n",
       "      <td>1044249</td>\n",
       "      <td>1081194</td>\n",
       "      <td>1157585</td>\n",
       "      <td>1130149</td>\n",
       "      <td>...</td>\n",
       "      <td>1663043</td>\n",
       "      <td>1521044</td>\n",
       "      <td>1457913</td>\n",
       "      <td>1467227</td>\n",
       "      <td>1457349</td>\n",
       "      <td>1464852</td>\n",
       "      <td>1532574</td>\n",
       "      <td>1531242</td>\n",
       "      <td>1604588</td>\n",
       "      <td>1659259</td>\n",
       "      <td>1666833</td>\n",
       "      <td>1692036</td>\n",
       "      <td>1669486</td>\n",
       "      <td>1682396</td>\n",
       "      <td>1719450</td>\n",
       "      <td>1714053</td>\n",
       "      <td>1737508</td>\n",
       "      <td>1779112</td>\n",
       "      <td>1843057</td>\n",
       "      <td>1897256</td>\n",
       "      <td>1874110</td>\n",
       "      <td>1842818</td>\n",
       "      <td>1807795</td>\n",
       "      <td>1784407</td>\n",
       "      <td>1757240</td>\n",
       "      <td>1751681</td>\n",
       "      <td>1739331</td>\n",
       "      <td>1765390</td>\n",
       "      <td>1772139</td>\n",
       "      <td>1813960</td>\n",
       "      <td>1798284</td>\n",
       "      <td>1794358</td>\n",
       "      <td>1824406</td>\n",
       "      <td>1833005</td>\n",
       "      <td>1843890</td>\n",
       "      <td>1896468</td>\n",
       "      <td>1916888</td>\n",
       "      <td>1883645</td>\n",
       "      <td>1827643</td>\n",
       "      <td>1759010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>110493</td>\n",
       "      <td>100748</td>\n",
       "      <td>113687</td>\n",
       "      <td>104632</td>\n",
       "      <td>114445</td>\n",
       "      <td>107802</td>\n",
       "      <td>110785</td>\n",
       "      <td>101412</td>\n",
       "      <td>120857</td>\n",
       "      <td>110590</td>\n",
       "      <td>111026</td>\n",
       "      <td>101198</td>\n",
       "      <td>122038</td>\n",
       "      <td>112319</td>\n",
       "      <td>115775</td>\n",
       "      <td>117398</td>\n",
       "      <td>119575</td>\n",
       "      <td>112760</td>\n",
       "      <td>122703</td>\n",
       "      <td>106218</td>\n",
       "      <td>150554</td>\n",
       "      <td>106478</td>\n",
       "      <td>122660</td>\n",
       "      <td>119240</td>\n",
       "      <td>128129</td>\n",
       "      <td>132319</td>\n",
       "      <td>133159</td>\n",
       "      <td>146838</td>\n",
       "      <td>154339</td>\n",
       "      <td>163983</td>\n",
       "      <td>194198</td>\n",
       "      <td>225936</td>\n",
       "      <td>429926</td>\n",
       "      <td>512482</td>\n",
       "      <td>654746</td>\n",
       "      <td>848647</td>\n",
       "      <td>890142</td>\n",
       "      <td>925512</td>\n",
       "      <td>1013720</td>\n",
       "      <td>980215</td>\n",
       "      <td>...</td>\n",
       "      <td>1768325</td>\n",
       "      <td>1622178</td>\n",
       "      <td>1558562</td>\n",
       "      <td>1572415</td>\n",
       "      <td>1561378</td>\n",
       "      <td>1569098</td>\n",
       "      <td>1642747</td>\n",
       "      <td>1641143</td>\n",
       "      <td>1720781</td>\n",
       "      <td>1782388</td>\n",
       "      <td>1789568</td>\n",
       "      <td>1812642</td>\n",
       "      <td>1790670</td>\n",
       "      <td>1802735</td>\n",
       "      <td>1846162</td>\n",
       "      <td>1839442</td>\n",
       "      <td>1865113</td>\n",
       "      <td>1911858</td>\n",
       "      <td>1999840</td>\n",
       "      <td>2052070</td>\n",
       "      <td>2019018</td>\n",
       "      <td>1995760</td>\n",
       "      <td>1959712</td>\n",
       "      <td>1930363</td>\n",
       "      <td>1902100</td>\n",
       "      <td>1892700</td>\n",
       "      <td>1883571</td>\n",
       "      <td>1909676</td>\n",
       "      <td>1918267</td>\n",
       "      <td>1961702</td>\n",
       "      <td>1940498</td>\n",
       "      <td>1938941</td>\n",
       "      <td>1972439</td>\n",
       "      <td>1981557</td>\n",
       "      <td>1993285</td>\n",
       "      <td>2050234</td>\n",
       "      <td>2069242</td>\n",
       "      <td>2032310</td>\n",
       "      <td>1973359</td>\n",
       "      <td>1898382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 131 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "year    1880    1881    1882    1883  ...     2007     2008     2009     2010\n",
       "sex                                   ...                                    \n",
       "F      90993   91955  107851  112322  ...  1916888  1883645  1827643  1759010\n",
       "M     110493  100748  113687  104632  ...  2069242  2032310  1973359  1898382\n",
       "\n",
       "[2 rows x 131 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_births2.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GZG0ILC5HhGQ"
   },
   "source": [
    "The years became columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "41OsuTnLACZY",
    "outputId": "161d1a16-f983-4c27-f25c-308dc45bcc16"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 75,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(total_births)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q2jJeFhtIIyJ"
   },
   "source": [
    "The two pivot tables have equivalent data.  One\n",
    "is the transpose of the other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6B_kXy-JH48c",
    "outputId": "ad10d1a0-97e5-4635-bbae-1f4406120ec6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "np.all(total_births2.T == total_births)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "H0Fm26upACZa"
   },
   "source": [
    "## Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O5IGXZ_6ACZb"
   },
   "source": [
    "All data frames have a `plot` method, which will work quite intuitively for pivot table data frames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8VtSRdzrACZb",
    "outputId": "badecea3-5793-4cba-c8b6-1af3937e8bec"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MOH1aoqOjadCgAQBVqlRh0aJFORuEEGmY4zeHmiVr0qBMg8S2mBgYNw6aN4f6KU/Tl6oPP4Tff4exY+Gbb263v9PkHUZsNfdi2tdonzPBO4Cr0VfZFbKLT5/4lDs/M91d3VnUbREPT3mYQcsG4f+qP8Xdi+d6TBZtYVPgJn7a+RMLjyzEw82D8W3HU9ClYIr93ZzdeKnBS4zcNpLgiOA8n+E+Q1dSSilXTIKarbVOeIz8olKqrHV7WSDhb6cgoEKS3b2BkHTavVNoz8o5HI67uzv79+9n//79kqBEngqKCGJT4CZ61u2Z7AN07lwICYH33sv8MWvWhM6dYfx4iIi43e7q7Er90vU5ePFgDkTuONYHrMeiLbSo2iLF7QVdCvLbc79xKeoS7655N9fjmb5/OtV/qs5T059i3el1fPHkFwS8HUCf+n3S3G9Qw0HE63im7pua6zHeJb3xQMxVywxgzB3tP5C8qOF76/ftSF7UsFPfLpw4gymaKG79voR12y5r34TCibZZOUdaL7knJcRtcfFx+oW/XtAMQx+/fDyx3WLRul49rX18bt+Lyqzdu83d7q+/Tt7+1t9v6ULfFNJx8XHZiNyxDF42WBf5toiOiYtJs9+n6z7VDEOvPL4yW+eLjo3W0/dP15G3Iu/atjlws3b60kk3/rWxnnVglo6KicrUsZ/6/Sld++fa2YovKXKqcAJ4HDOUdhDYb321BUoC64AT1q8JCUcB44FTwCGgUZJjvQyctL5eStLeCPCz7vMztye+zfQ5UntJkhLCsFgsuv+S/pph6B+2/pDYHhur9Y8/mk+FadOyd47OnU0VYNJKv2l7p92VFO91VcdWTazqS8vN2JvaZ7yP9vrBSwdeC8zy+T7/93PNMPRDkx/SlyIvJbZfi76mK42upKuOraojbkZk6dg/7fhJMwx9JPRIluNLKseS1L3ykiQlhPHBmg80w9Cf//t5Yts//2hdp475RGjaVOubN7N3jrNntS5UyJSpJ9gdvFszDD3ff372Du4gToWd0gxDj/tvXIb6H750WBf9v6K6wcQGKV4JpSc4IlgX+qaQbvRrI11weEF9/7j79T+n/tF+F/10j/k9tPOXznr7ue2ZPm6Cc+HnNMPQ3276NsvHSCqjSUpmnLCxyEhZHE7knYuRFxm1fRQvNniRL5uZefWuXYMOHUzBxIIFsH49FCiQvfNUqABffAGLF8OKFaatjmcdnJQTBy4eyOa7cAxrT60FoGW1lhnqX9uzNnO7zOXgxYP0W9wv03PmDV0/lNj4WOZ1nce/ff8lLDqM5jOb4zvBlzl+cxjadChNvJtk+n0k8C7qzUPlH2LR0by9dy5JSoh8ZK7fXOJ1PEMeHZJYLDFnDkRHm4KJzp1vl5xn1zvvQO3a8MYbcP26qWarWbJmvimeWHt6LRWKVqBGyRoZ3qdN9Tb80OIHFhxZwFcbv8rwfv6X/Jm2fxqvNX6NqsWr8kiFRzjy2hFW917N3C5zWdRtEZ888UlW3kYynWp1YlfILs6Fn0u/cw6RJCVEPjLz4EweLPsgdTzrJLZNnWpKzR/M4cnF3NzM81aBgSZRAdQrXS9fJKl4SzzrzqyjRdUWd5Wep+edJu+YK92NX/KX/19p9g25HsLIbSN5bu5zeLh58NmTnyVu8yrsRctqLenm242OtTpmeAHK6Gh47TX4+ee7t3Wu3RkwExLnFUlSQuQTR0KPsOf8HnrX7Z3Ytn8/7NkD/fvn3BVUUo8/Dp9/bh4Anj3bJKkz184QcSsi/Z0d2JpTa7h28xqt7m+V6X2VUkxsN5FHKzxKv8X92Bm8M8V+8/zmUWlMJYasHULJQiWZ02VOstnrs+LiRXjqKfjlFzM/48aNybfXKFmDOp51WHg07xa0lCQlRD4x6+AsnJQT3X27J7ZNnWruP/XqlXvn/ewzk6z+9z/wtNQD4NDFQ7l3QhvTWvPFhi+oXKwyHWt1TGy/ehUGDMjYpAEFXAqwqNsiPAt70mRKE1rNasVf/n9xK85MQ7/21Fr6LOpDE+8mHHv9GDsG7KBN9TbZijsoCJo0gYMHYeZMM6tI794m7qQ61erEpsBNebbciCQpIfIBi7Yw+9BsWlRtQVmPsgDcvGmubjp1ghIlcu/cLi7mPDExsGu5mcLiXh7yW358ObtDdvP5k5/j5uyW2P7LL+aPgqefhl270j+OV2Ev/uv/H0ObDuXo5aO8MP8Fyv9Ynv8t/x+d5nWitmdtlvVYlql7Xmn57jsIDoYNG0xy+uMPuHABBg0CnWS+nufrPE83n25cv3U9R86bHklSQuQDW89uJTA8kN71bg/1/fKL+Su5f/80dswhFSuCry+c2udNsYLF7tkKP4u28MWGL6hWvBp96t2exSEmxszC0aQJ3HefmXJq27b0j1fWoyxDmw3l9JunWdVrFU9XeZqp+6biVdiLVb1WUaxgsRyJ+8oVmDbNJKeHHjJtjRrB11/D/Pmm4jNB/TL1+aPLH1QpXiVHzp0eSVI2ppSiT5/b/5jj4uLw9PSkffv8M7+ZyH1Ljy3F1ck1cfhp3jx4/31o3978ZZ8X6teHgwcU9bzu3eKJxUcXs//CfoY2HYqrs2ti+59/mnW4hg2DTZvAy8uU/Z89m7HjOjs50+r+Vvz5/J9ceP8C+17Zl3hFnBMmTDAFE3dOhfX221CqFPz0U46dKtMkSdlY4cKF8fPzIzo6GoC1a9dSvnzeTuAo7n1rTq/h8YqPU8StCKtWQZ8+8MQT5sPTKY8+BerXh8uX4X4PM4dfnCUuQ/tZtIV3Vr1j98vQH7t8jMHLB1O7VG161L09q7zWMHq0Kcdv2dI8Q7ZyJcTGwgsvmKuszCjhXoL7Ct6XY3HfvGmSUJs24OOTfFvBgjBwICxdaqo0bUGSlB1o06YNK6xPPM6ZM4cePXqks4cQGXch8gIHLx6kRdUWREWZZeB9fMwHj7t73sWRMKN6mVtNiYqNYsvZLRnab3PgZsbsGMP4nfazki3A6aunWXF8BddvXedc+DlazDTl5ou7L8bF6fYCE1u2wN695qokoYKyenUzvLZjB3zwgY3egNWsWWZplfffT3n74MHm6y82Wlw5w0t13OveXvV2jv+l1qBMA8a0TmetDqB79+589dVXtG/fnoMHD/Lyyy+zefPmHI1F5F//nP4HMDMfzJpl7kMtW2bujeSleqawD7ezLXFzdmPpsaU0q9ws3f3m+s0FYN2ZdbkYXebEWeLoMKcDh0MP4+rkStECRYm1xLLxxY13FTKMG2cKU3r3Tn6Mrl1NmffYsWbI9dln8/ANAKdPmyu8qVPhgQdM6XlKKlaEjh3NOmHDhuXtHzYgV1J2oV69egQEBDBnzhzatm1r63CEA4mOjWbZsWUJEzWnaO3ptZR0L0mDMg/w00/mA+nRR/MwSKvixaFSJTh60INnqjzDkmNL0owbTDKYf2Q+7i7unLl2htNXT+dRtGn7bd9vHA49zDdPf8O7j7yLr5cvK3quSLYuF5iChCVLoG9fs2jknX74waw7N3CgGQrNbVFRpry8VStzNTdpEnTrBgsXpv2c3BtvQFiYqfjLcxmZ4O9eeNn7BLNffvmlLlGihD548KBev369bteuXYr97SFmYT8SZhbfErglxe0Wi0WXGVlGd/urm/73X50jM5xnx7PPal2rltYTd03UDEMfungozf6rT65OnNSUYehfd/+aR5GmLvJWpC4zsox+dOqj2pLOeiY//2x+5/v3p97nwAGtXV217to168ujZER4uNa1a5t4KlfW+rPPtA4Kyti+FotZvuWRR3IuHmSCWcfy8ssv88UXX1C3bl1bhyIcyJlrZwBYeCTlGQD8LvlxIfICLau15KefoGRJ6N49xa55on59OH4cmlfsAJiqw7TM9ZtL0QJFeeeRdyjnUS5Ph/wOXTzEI1MfYc6hOcnaf9z+IxciL/BDix/SnfJo+nTzntNa4bhePfjyS1PqPXdu9mLeuNFU4w0blrwgw2IxV3PHj5tJf0+fNuXlGa3RUso88L19OwQEZC/GzJIkZSe8vb156623bB2GcDBnw00N84IjC1IcOlt72szEXbtAC5YsMcNKeX1PIan69c0HZlhgORqXa8ySY0tS7Xsr7hYLjyykU61OFHQpyDNVnmHdmXWZnh08K/aE7KHZ9GbsCNpBr4W9GL9zPLHxsUzbN40RW0fQuXZnHq2Q9pjp4cPmod1+/dI/35Ah8Mgj8PLLsHZt1mKOjzfDctHRJuk1amRmtT9xAoYPN8OOo0bBc89lbQqshD9usptIM0uSlI2ltFRHs2bNWL58uQ2iEY4mIUkFhgey78K+ZNu01qw8sZJapWqxcWkFLJbblVq2knBFceAAPFfzOXYG7+T89fMp9l19ajXht8Lp5tMNgGeqPMPlG5dzdUqlyJhI5vrN5ZkZz+Dh5oHfq350qNmB1/9+nUpjKtF/aX/qeNbhx5Y/pnus6dPB2dlUU6bHxcUkkRo1zPNTf/+d+dinToVDh8x5ly4198O6djXHHDrUXAm9+Wbmj5ugShXzMPKcOen3zUmSpIRwYGfDz9K8anOclTMLDi9IbI+Jj2HQskGsO7OObj7dWLXK3KCvVMmGwQJVq0KRItYkVes5AOYfnp9i30l7JuFZyJPmVZsD8EzVZ4Db1Yo56WbcTV746wVKfl+SHgt6ULpIaTa9tIk6nnVY8MICBjccTOVilVnWYxk7BuygUrG0f5FxcaZAoW1bKF06YzF4esK//0KdOqaa7p9MvM3wcDNH4hNPQJcuJtGdPAn//WdK3ceNMzPSZ3cS4R49zNx+hw9n7ziZkpEbV/fCy14LJzLLEWMWuSPeEq8LfF1AP/zZB7rZb0/rmj/V1BaLRV+MvKib/tZUMwz96bpP9bXweO3iovWHH9o6YuORR7R+4glT1PHo1Ee15/eeOuxGWLI+By4c0AxDD984PFl7zZ9q6jaz2uR4TDMPzNQMQ7+y7BW9/sx6HRMXk63j/f67KVBYtCjz+4aFae3rq3XRolofPJh235s3tV63zqyArJTWu3dnLd6MOn9eaycnrT//PP2+6UEKJzJGpzCOb68cKVaR+0KjQrkVf4sdqytSy9KFY1eOMfq/0dSdUJf/gv5jdufZDH96OBvWOxEXZ8qO7UH9+uZKymJRjG87nivRV/js38+S9RmxdQRF3IrwauNXk7U/XeVpNp/dnOP3pabum0rV4lX5pd0vNKvcLNmURpkVGQkffwwPP5y1Z5+KFzczUnh4mFkggoJS7rd2rblKe+YZs/rxJ59Aw4ZZDjtDypQxz1PNmZN80tnclK+TVMGCBbly5YpDfPhrrbly5QoFCxa0dSjCTiTcjyKiAle3mzn53lvzHmWLlGX3oN30rGtuhqxeDYULw2OP2SrS5Jo2hYgI2LrVPPD+WuPXmLB7AntC9gBmJoe5fnMZ3HAwxd2LA6ZSTWuoX7o+kTGROboy7KmwU2wI2MDLDV7GSWX/I/G778w8fWPGZH3KqQoVTOKJiDBLZjz+uElCCXP97dplZq+vWNHcfwoLM8UReaF7dzOUuHdv3pwvX8844e3tTVBQEKGhobYOJUMKFiyIt7e3rcMQdiIxSYVXZO3CcgyZ8yEFXFz57MnPKOBSADAf7KtWmRkN3NzSOFgeatfOrGG1YAE8+SR89dRX/On/J70W9mLggwPZFbILFycX3nnkHcAUAFSvDt9/D3VamBWFD4ceTve+UEZN2zcNJ+XEiw1ezPaxAgJg5EhTpNCkSfaOVb8+bN5spi3assU8+DtqFLz0kilX9/Iyf4CUzbl5ZjOka1eoVcs8FJ4nMjImeC+8UronJYQj+3Hbj5phaLf7rmgw9ybudPy4uTfy8895H19ann1Wa29vrePjzc8rj6/U1cZW0wxDMww9YMmAxL5jxpj30LKl1pejLmuGoUduHZkjccTFx+lyo8rptrPbZvtYUVFaP/WU1u7uWp87lwPB3SEwUOsBA7R2dtbay0vrEydy/hx5CbknJcS97VzEOVRsYTq2Lo67u5na5k6rV5uv9nI/KkGXLuZeS8Lif22qt+HkmycJeTeEZT2WMbLlSMBcCU6ZYvps3AjulMSrsBdHLh/JkThWn1pNyPUQ+j+Q+UW1YmLJJWcKAAAgAElEQVRMVR2Y6YY6dDALBv76K+TGgEfFijB5Mpw6ZYba7r8/589hjyRJCeGgAq6eRV+rSO1aijZtYNEi86Cs1nDmjElQs2ebsm97+0Dr0AFcXc2wVVJlPcrSvkb7xKUodu0CPz+T1G7dMomqdqnaHA7NmRroWQdnUapQKdrXyNz6bVqbh2KLFTMl402amAQ1c+bdE8nmtEqVMj5TxL1AkpQQDurU5bMQXoFKlcxN9JAQM6N206YmMbVubZ6T6dbN1pHerXhxU5W2YEHaVWJTppiJWX/5xcyUsWoV1PGsw+HQw9kueIqNj2XliZU8W+PZZMu8Z8SMGSaWnj3N7zo21ky+2qtXtkISKcjXhRNCOLJzEWchvD4VK5rSYxcXePddKFfO3Lxv3NgUHJQpY+tIU9ali5mmaf/+lG/CR0aaUucXXjBFAs2amcTwRq86hN8K53zkecp5lMvy+bec3UL4rXA61OyQap+jR81VqEuST8qLF+Gdd0y15MyZebdoZH4lv14hHNCtuFtcjb0I4RWpWNEMO/3yC4wfb+5ZvPeeqZwrWzb7swzklo4dzYf/xIkpb//zT5OoBgwwP7dubSZILRZrKvyOhGbvvtTy48txc3ZLnNHiTmPGmNV0u3Qxq9eCuep76y1zD2rKFElQeUF+xUI4oKAI6xOe4RWpUMF8O3AgvPqqWfLbEZQqZeKdMsU83JtUXJx53qhevdtrX7Vubb4G7btdhp4dy44v4+kqT1PErchd26ZONVdLDz5onkNq3x7WrTPTDs2bB59/bsqwRe6TJCWEA0p4Rqq4U0WHSUopGTbM3J96663k96Zmzzazd3/5ZfIl16tUgW1rS1OsYLFsJaljl49xIuwE7asnL5g4dsxMxjpwoEmK27aZ+08bNkDz5uYqddIk82CtyBtyT0oIB5SQpLyLVrBxJNlTvLiZKeF//zOVfs8/b4oQvvrKXMU899ztvkpBy5bwxx+Kus/W4fDlrCep5cfNKgMJVX3h4dCixe2S+PbtzRVTgQLQp4+5J+bvD6+8YmbvEHlHkpQQDighSVXzdPwZSAYOhAkTzNBfcLC5ojp9GpYvv/t+2oMPmiuZCu51+Dc49bWoUmLRFq7cuMJ9Be9j2fFl1CtdL3HWiilTTIL6/nsz0/edzzm1amV/z5rlF5KkhHBAgeFnIbI0VSo48FiflbOzmfrn1VfNfSAwk7O2bXt3Xx8f89Ujug6hN6YQGhWKZ2HPDJ3n/TXvM/q/0Yk/f/K4GbOLi4OffjL3m4YMydZbEblAkpQQDujMlXMQXpFKPraOJGfUrWvmqdu5E37/3VxdpVSVmJCkLJdqA3Dk8pEMJal4Szx/HPqDR7wfoW31ttyIvcHrD70OmMKIwED4Mf11DIUNSJISwgGdCTsL4bWpWNHWkeSshx4yr9QUK2aeA7t2og5UgoMXD/JkpSfTPe62c9u4GHWRsa3H0s03+dPNY8dC5crJ738J+yHVfUI4oNDoCxBZ9p5LUhnh4wMBBytQo2QN/vT/M0P7LDiygALOBWhbPfkY4r59sGkTvP66GXYU9keSlBAOJiY+hsj4qxDllW+T1NEjin71XmTz2c2cCjuVZn+tNQuPLKRltZZ4FPBItm3CBFOt1z/z88uKPCJJSggHc/nGZQBcY7woVcrGwdiAjw/cuAFNi/dBoZhxYEaa/XeF7OJcxDm61O6SrD0uzswcnzBRrLBPkqSEcDCXoi4B4FnIy26nPMpNCcUTYQHetKjWgukHpqe5nPzCIwtxcXLh2ZrJ13LftMksqNilSyo7CrsgSUoIB5OQpMrd52XjSGyjtins4/BheLH+iwSGB7IxYCN7z++lz6I+jNo2iuu3rgMQGhXK/MPzebrK04lL0SeYP9/MsJ4w3ZKwT1LdJ4SDSUhSFUvmzyRVrJhZT8nfH958tyNFCxTlxSUvci78HIVcCzHr4CyGbx6Or5cv285tw6ItDH96eLJjWCxm/a02bUyiEvZLrqSEcDAXI/N3kgIz5OfvD+6u7vSt15eQ6yG80+Qdgt8NZseAHTSv2pyomCg+efwT9r2yj+6+3ZPtv20bXLggQ32OQK6khHAwZ69cgjg3KpW+z9ah2IyPj1niw2KBUa1GMbTZUEoVMlUkD5V/iL+e/yvN/RcsMPPytWuXF9GK7JAkJYSDORd2CaK8KOOTD6smrHx8IDoazpyBatXcEhNUWnbuNKvnenjA3LlmstqiRfMgWJEtkqSEcDDnI0ySKl3a1pHYTkKFn78/VKuWsX3ee88M82ltXv365V58Iueke09KKTVNKXVJKeWXpG2YUipYKbXf+mqbZNvHSqmTSqljSqlWSdpbW9tOKqU+StJeRSm1Qyl1Qik1TynlZm0vYP35pHV75fTOIUR+cClKkpSPj1nVd/PmjPUPDIQtW8wSIHFx5ipM7kc5howUTvwOpFSkOVpr3cD6WgmglKoDdAd8rPv8opRyVko5A+OBNkAdoIe1L8AI67GqA1eBhGe/+wNXtdb3A6Ot/VI9R+bethCO62qMJCkPD3M/adYsk3TSM3eu+dqjh1ny3ZEXisxv0k1SWutNQFgGj/ccMFdrfUtrfQY4CTxkfZ3UWp/WWscAc4HnlFIKeBqYb91/OtAxybGmW7+fDzxj7Z/aOYS452mtuW65hIr2onjx9Pvfy156yVTorV6dft8//oAmTaBq1dyPS+Ss7JSgv66UOmgdDkz436U8cC5JnyBrW2rtJYFrWuu4O9qTHcu6PdzaP7Vj3UUpNUgptVsptTs0NDRr71IIOxIVG0WcisZDeeGUzx8gadsWPD3ht9/S7ufnBwcPQq9eeROXyFlZ/Wc+AagGNADOA6Os7SmVG+kstGflWHc3av2r1rqR1rqRp2fGFkYTwp5djLwIQPEC+fcZqQSurtC7t1kP6sqV1PvNmWNmOH/++byLTeScLCUprfVFrXW81toCTOb2cFsQUCFJV28gJI32y0AxpZTLHe3JjmXdfh9m2DG1Ywlxz0uct89dkhTAiy9CbKy5mpo7F7p1g+++g9BQU8Hn7w+zZ0Pz5uTre3iOLEtJSilVNsmPnYCEyr+lQHdrZV4VoDqwE9gFVLdW8rlhCh+Waq01sB7oat2/H7AkybESikS7Av9a+6d2DiHueQlJqkxRSVIA9erBgw+aZd979IB//4WPPwZvb1Oa7usLZ8+a9aKEY0r3OSml1BygGVBKKRUEDAWaKaUaYIbZAoBXALTW/kqpP4HDQBzwmtY63nqc14HVgDMwTWvtbz3Fh8BcpdRwYB8w1do+FZiplDqJuYLqnt45hLjXXbQmqQolJEkl+L//M0N6PXvCM8/A0aNmNoqAAPjgA7MUR9my6R5G2CllLk7ufY0aNdK7d++2dRhCZMunq7/h2/8+Y4RHNB+8K3XUwnEppfZorRul1y+f1wcJYZ8iYyKZcWDGXesknb1yCW4WxbuMJCiRP0iSEsIODdswjH6L+7HyxMpk7SHX5EFekb9IkhLCzoRcD2H8rvEATD8wPdm2i9YpkcqUsUVkQuQ9SVJC2Jnhm4YTb4mnTZWOLD22lLDo2xO+hN2UKymRv0iSEsKOnLl6hil7p/CY+wBWf/IFMfExzPWbm7g9PP4S6oYXJUrYMEgh8pAkKSHsyPBNw3F2cubwxE+xBDfA01I3ccgv3hJPNJcpjEyJJPIP+acuhB1ZeXIltSxduXSqPPffr4jd9SI7g3dyJPQIYdFhaGXhPld5RkrkH5KkhLAT125e40LkBY5sqEuHDvDll3BtUy+clTNfbfqKcxFmXuWSBSVJifxDVuYVwk4cu3wMgJiQWnz7F1SuDIUGlqZm5BDm+n3HP6f/AaBMEUlSIv+QKykh7MTRy0cBaN6gFr6+UKQIPPssnJ32fyztthI3ZzcAKhRLcWUaIe5JkqSEsBMHQ45BvCtN61VJbOvZ0yxD4Xy6DVt7+sGMNdQpXcOGUQqRtyRJCWEn9gQehbD7qefrmtjWqhWUKAGffQYBR4vD6RbyjJTIVyRJCWEnjocdhcu18PG53ebmBtOnw/HjZiVakHWRRP4iSUoIOxAbH8vF2JO4XKtF5crJt7VvD1u3QqlS5mdZdkLkJ1LdJ4QdOHPtDBYVS4UCtVJ8ULd+fdi1C1asgDp18j4+IWxFkpQQdiChsq+OV61U+5QuDS+/nFcRCWEfZLhPCDuwP8gkqYeq1rRxJELYF0lSQtiBnaePwvUyNPS9z9ahCGFXJEkJYQeOXr67sk8IIUlK3MO+/trcw7FY0u9rS1prgm4exTmFyj4h8jspnBAO7fx5KFMGlEre7ucHw4aZBHX//fDJJzYJL0NCb4Ryy+kq3i4pV/YJkZ/J/xLCYS1ZAuXKwVdf3b3t/ffhvvugY0f4/HPYtCnv48uohMq+miVTr+wTIr+SJCUc0qVLMHAguLqaJS3Wr7+9bdUqWL3aJKcZM6BaNejRA0JDbRdvWpYdXgsWJ5pUfsDWoQhhdyRJCYejNQwaBBERsHkz1KwJvXpBcDDs2AHvvWcS02uvgYcH/PmnmaS1b1/7uz+ltWbOoTlw5mke9pUlOIS4kyQp4XBmzjRDfd98Aw8/DPPmwdWr4O0NTZrAsWMwerSZ9w6gQQPz86pV8P33to39TnvO7yE4+hT4d6dRI1tHI4T9kcIJ4XC+/x4aNoS33zY/16tnEtWmTfDII/Doo3fPbzd4MGzYYGYTj4uDnTvNNEN//QWPP57nbyHRnENzzfIcnp1lTj4hUqC01raOIU80atRI796929ZhiGw6dMgkpfHj4dVXM7dvRAQ8+CCcOgWVKsHNm2bS1n37zL2tvGbRFsqMqETowQeY2XYpvXvnfQxC2IpSao/WOt3xAxnuEw7ljz/A2Rmefz7z+xYtCtu2gb8/nDkDkyeb78eOzfk4M2Lr2a2E3gqiwInudOpkmxiEsHeSpIRdu3wZTp4032sNc+ZAixbg6Zm143l5mVnElYIOHcxr2DAICsqxkDNs1oG5EOtO17rPUrhw3p9fCEcgSUrYtZdegrp1Yft28woMNEuq55SxYyE+/vb9rbxy/dZ1Zh34A44+R/8+RfL25EI4EElSwm5FRMCaNebe0bPPwogRULCgeUA3p1SpYp6nWrAAFi3KueOmZ+q+qdywXKN0wNs0bZp35xXC0UiSEnZr1SqIiYGpU83zTUuXmuE5D4+M7T9171SGrBlCVExUitvjLHEADBliytRffdWUsue22PhYRmwcDYFP8HbXh2UqJCHSIP97CLu1eLGpvuvXzyQob++MV/QdvHiQwSsGM3L7SB789UF2h9yu7LwZd5OP/vmIwt8W5ov1X+DsYmHaNDMjxauvmhL3OnXMw7+5Yf7h+Vy4eRaPQ0N4/fXcOYcQ9wopQRd2KSbGFDl06WKupMAUTtw5kWxK4ixxNJnShHMR55jYbiJvrXqLkOshNCrXiCbeTVh9ajVHLx+lYdmG7Dm/h/Y12jOr0yxGfHUf//d/5hjlypnJawMCoGLF7L+fKzeucCHyAmWKlOHRiS05fvoGIyr588EQ+TtR5E9Sgi4c2saNEB6e/P7TnQkq3hLPzAMzCYpIXpo3atso9pzfw/i24+lUuxMHBh/go8c/ooBLASbtmcSN2Bus7r2aXQN38XObn1l1chXNZzbno09vMXkyHD0KW7eaY/32W/bfy624W/iMfgTfCb6U+qEUx6/vxcP/PV5/Tf73EyI9MuOEsEuLF0OhQtC8eep9Rv83miFrh1DQpSBvP/w2j1V8jIVHFjL70Gw61+5M1zpdASjuXpzhTw8HzP0gZydnnJRJEK899BrlPMrR+c/OfL7pA8YOGEvErQj6LOpD2cGeTJs2hc8+M89mZdWnS8ZzMe4E/PMtxBYCpzi+eL4vhQpl/ZhC5BeSpITdsVjM3HytWoG7e8p9ToWd4ov1X9CyWku8Cnvx3dbvYCsULVCU7r7dGdVyVIr7uTrfPbVEp9qdePOhNxm3cxx1S9dlwu4J7D2/F1Vaoa9/wrp1VWnZMmvvJTTyCmP2fY1rSGtOzPqYvXvNldrr/8va8YTIbyRJCbszb56Z0bxLl5S3a60ZtHwQrs6uTHt2GuWLlufDxz4k5HoITSs1pYBLgUyf8/sW37Pl3BYGLhuIu4s7kztMZvDywbg+NompU0dkOUn1/PUr4p0jGPbwSCpVMtMxCSEyTgbFhV25fBnefBMeegi6d0+5z+/7f+ffM//yffPvKV+0PAC+Xr60rNYySwkKoIBLAeZ1nUf7Gu35p+8/DHhwAB1qdkA9OI2FS2/RoQM88ICZoDajNh/z459rv1A6eCCfDPTJUlxC5HdS3SfsSp8+5kpq717w9U25z0OTHyLWEsueQXsS7y3lhjWn1tBqViu8Ns+m7OWe3Lxp5vwLCkp/WqaTwWH4jHmIGCJZ1/UgTz8sa0UJkZRU9wmHs2oVzJoFH3+ceoIKjQpld8huOtfqnKsJCqB51eZUK16N6j1/YcmGQAaPW0hMMT+mT7/dZ+dOM6XSU09BlTpXGThIs3R5HA98052YgucY3WSRJCghskGupITdaNLErKDr5wcFUhm1m31wNr0X9WbngJ00Lt8412MauW0kQ9YOSfy5QHRFKiw6xfGjLgQHQ+2GV7hVcwaujWdwo+h+iCkC18tAyZO8W20qo3q/nOsxCuGIMnolJYUTwi4cOmSWfv/xx9QTFMCqU6soVagUDcs1zJO4Xmn4CqFRoVQqVomY+BjeWf0OJ93ms359d374MZao55uiPf2pX64Rz9X8mpDwS2w5dpim3gMZ1V0SlBDZprVO8wVMAy4BfknaSgBrgRPWr8Wt7QoYB5wEDgIPJtmnn7X/CaBfkvaGwCHrPuO4fXWX6XOk9WrYsKEW9uuNN7R2c9M6NDR5++Woy/p02Gmttdbxlnjt+b2n7rWglw0iNOevPraGdv5fQ12xkkXz8BjNMPRf/n/ZJB4hHBmwW2fgszsjg/q/A63vaPsIWKe1rg6ss/4M0Aaobn0NAiYAKKVKAEOBh4GHgKFKqeLWfSZY+ybs1zor5xCOKzoaZs6Ezp3NXH1JDV4xmAaTGhBwLYC95/cSeiOUNve3sUmcTsqJ9x59l/jSezhbeAHOzYfSompLutROpVZeCJFt6SYprfUmIOyO5ueAhNvH04GOSdpnWBPlf0AxpVRZoBWwVmsdprW+irkyam3dVlRrvd2aWWfccazMnEM4qIUL4do1GDgweXucJY41p9YkzgCx4vgKFIqW1bL40FIO6Fu/LyUKlEJ17QlukYxpPRqVkQkFhRBZktXyqNJa6/MA1q8J5UvlgXNJ+gVZ29JqD0qhPSvnuItSapBSardSandoaGim3qDIO5MnQ7Vq0KxZ8vadwTuJuBVBp1qd2HJ2C/+35f9oVK4RnoWzuCxvDnB3deeNJq+hnWJ5rfFr1PGsY7NYhMgPcrpwIqU/KXUW2rNyjrsbtf4V+BVMdV86xxU2cOGCmUx2+HDuWldp7am1KBSTO0ymgEsB5vrNpfX9d4485723m7xNbHwsHzz2ga1DEeKel9UkdVEpVVZrfd461HbJ2h4EVEjSzxsIsbY3u6N9g7XdO4X+WTmHcEBnzpivDzxw97a1p9fSsFxDShYqyYR2EyjiWoSXH7B9xVyxgsX45plvbB2GEPlCVof7lmKq9bB+XZKkva8ymgDh1qG61UBLpVRxa8FES2C1ddt1pVQTZQb2+95xrMycQzigIOtgr7d38vaIWxH8F/QfLaq2AEximPzsZCoXq5y3AQohbCrdKyml1BzMVVAppVQQpkrvO+BPpVR/4CzwvLX7SqAtpjz8BvASgNY6TCn1NbDL2u8rrXVCMcb/MBWE7sDf1heZPYdwTMHB5mv5O+4qbgjYQLyOT0xSQoj8Kd0kpbXukcqmZ1Loq4HXUjnONMwzV3e27wbumgRHa30ls+cQjic4GAoWhBIlkrevObWGQq6FeLTCo7YJTAhhF2TuPmFTQUHmKurOKu61p9dmedkNIcS9Q5KUsKng4LuH+vae38vxK8dlqE8IIUlK2FZQUPKiiVtxt3hx8YuUKVKGfg36pb6jECJfkAlmhc1offeV1NebvubQpUMs7b6UEu4lUt9ZCJEvyJWUsJnLlyEm5vaV1K7gXXy35Tv61e9Hh5odbBucEMIuSJISNpO0/DzeEs8ry1+hdJHSjGk9xraBCSHshgz3CZtJ+iDv7/t/Z9+FffzR+Q+KFSxm28CEEHZDrqSEzSRcSRX1jOCTfz/h0QqP0t23u22DEkLYFbmSEjYTHGwmlf3t5LdcirrE8h7LZdkLIUQyciUlbCYoCLwqhTF252j61e9H4/KNbR2SEMLOSJISNhMcDMXvP0ZMfAwv+Lxg63CEEHZIkpSwmaAgKOIdCECl+yrZOBohhD2SJCVsJjgYXEoFAFCpmCQpIcTdpHBC2ERkJISHg8UjkJIFSlLErYitQxJC2CG5khI2kVB+Hl0gQBYyFEKkSpKUsImEJBWuAmWoTwiRKklSwibMbBOai7cCpGhCCJEqSVLCJoKDgUKXuRkfLcN9QohUSZISNhEUBEUqBABSfi6ESJ0kKWETR49C6RrmGSm5khJCpEaSlLAJPz8oUTUAkGekhBCpkyQl8tylS+ZVwCuQogWKytIcQohUycO8Is/5+ZmvcUUCqOxW2aaxCCHsm1xJiTx36JD5Gq4CpWhCCJEmSVIiz/n5QclSmqBImW1CCJE2SVIizx06BLUaXON6zHW5khJCpEmSlMhTFgv4+0MF3wBAKvuEEGmTJCXyVGCgmQG9eBV5RkoIkT5JUiJPJVT2uXnJYodCiPRJkhJ5KqGyL7ZQAIVcC1GqUCnbBiSEsGuSpESe8vODihUhIPI41YpXQyll65CEEHZMkpTIU4cOQd264H/JHx8vH1uHI4Swc5KkRJ6JiTETy9bwjSQwPBAfT0lSQoi0SZISeWbzZoiLg9K+hwEkSQkh0iVJSuSZWbOgaFEoVsMfQIb7hBDpkiQl8kR0NCxYAF26wMlrhyngXIBqxavZOiwhhJ2TJCXyxLJlcP069O4N/qH+1CpVC2cnZ1uHJYSwc5KkRJ6YNQvKl4emTU2SquNZx9YhCSEcgCQpkesuX4a//4aePeFG3HXOhp+VogkhRIZIkhK57s8/TVVf795wONRa2SdFE0KIDJAkJXLdv/9ClSpQr54Z6gMpPxdCZIwkKZHr/P2hfn3z/eHQwxR0KUjV4lVtG5QQwiFIkhK56uZNOHECfH3Nz1LZJ4TIjGwlKaVUgFLqkFJqv1Jqt7WthFJqrVLqhPVrcWu7UkqNU0qdVEodVEo9mOQ4/az9Tyil+iVpb2g9/knrviqtcwj7c+wYxMeDj3V0z/+Svwz1CSEyLCeupJ7SWjfQWjey/vwRsE5rXR1YZ/0ZoA1Q3foaBEwAk3CAocDDwEPA0CRJZ4K1b8J+rdM5h7Az/uYWFL6+EH4znHMR5yRJCSEyLDeG+54Dplu/nw50TNI+Qxv/AcWUUmWBVsBarXWY1voqsBZobd1WVGu9XWutgRl3HCulcwg74+cHLi5QowZsCNgAQBPvJrYNSgjhMLKbpDSwRim1Ryk1yNpWWmt9HsD61cvaXh44l2TfIGtbWu1BKbSndY5klFKDlFK7lVK7Q0NDs/gWRXb4+5sE5eYGK0+sxMPNg8cqPmbrsIQQDsIlm/s/prUOUUp5AWuVUkfT6JvS6nY6C+0ZprX+FfgVoFGjRpnaV+QMPz9o1Ai01qw8uZIW1Vrg5uxm67CEEA4iW1dSWusQ69dLwCLMPaWL1qE6rF8vWbsHARWS7O4NhKTT7p1CO2mcQ9iRqCg4fdoUTfhd8iMoIoi297e1dVhCCAeS5SSllCqslPJI+B5oCfgBS4GECr1+wBLr90uBvtYqvyZAuHWobjXQUilV3Fow0RJYbd12XSnVxFrV1/eOY6V0DmFHjhwxX319zVAfQJvqbWwYkRDC0WRnuK80sMhaFe4C/KG1XqWU2gX8qZTqD5wFnrf2Xwm0BU4CN4CXALTWYUqpr4Fd1n5faa3DrN//D/gdcAf+tr4AvkvlHMKO+PmZr76+MHbbShqUaUA5j3K2DUoI4VCynKS01qeB+im0XwGeSaFdA6+lcqxpwLQU2ncDvhk9h7Avfn5QoACUKh/O1rNb+fCxD20dkhDCwciMEyLX+PtD7drwb+Ba4nU8bavL/SghROZIkhK5xs/PFE38e+ZfihYoysPeD9s6JCGEg5EkJXLFli0QFGTuR525doYaJWvg4pTdJx6EEPmNJCmR45YvhxYtzEO8/frB2fCzVLyvoq3DEkI4IElSIkctXgwdO5orqC1boEwZzdnws1QoWiH9nYUQ4g4y/iJyTGwsvPMO1K1rFjr08ICr0deIjImUKykhRJZIkhI55o8/ICAAli0zCQrMUB8gSUoIkSUy3CdyRHw8fPutWYG3Xbvb7ecizNzBkqSEEFkhV1IiR8yfD8ePw19/gUoyNbBcSQkhskOupES2hYbC11+bB3c7d06+7Wz4Wdyc3fAqnOJqKkIIkSZJUiLLbtyA4cOhWjUzmew334DTHf+iEir7nJT8UxNCZJ58cogsWb/eVPF9/jk884yZXaJTp7v7yTNSQojskCQlMiU2Fl5/HZ5+2tx72rABFi0yQ30pkSQlhMgOKZwQGRYTA926mQd2337bDO8VKpR6/zhLHMHXg+VBXiFElsmVVD5y+DCMGZO1fSMjTVHE4sUwbhyMHp12ggIIuR6CRVvkSkoIkWWSpPKRzz4zM0Ls25ex/qdPw/PPQ6VK5uHcFStgwgR4442M7S/l50KI7JLhvnzi6lWTZAAmT4Zffkm9r9amz7vvgrMzdOgANWtC06bw5JMZP+e5cHmQVwiRPZKk8okFC8w9pQYNYPZsGDky5eG6vXtNctq40VTtTZsGFbOYYxKupCrcJ/ekhBBZI8N996ioKOFGmWQAAA89SURBVFMWnmD2bLN0xpgxEBFhZoYAmDgR6tUzV0ktW0KjRube1cSJsGZN1hMUmCRVwr0ERdyKZO/NCCHyLUlS96CICHjqKZN85s6Fc+dMqXivXma4rkYNM5w3cSL873/g6mr2O38ehgyBEyfglVfufjA3s85GSPm5ECJ7ZLjvHhATA9eugaenuYJq29YUR/j6Qp8+5mcwSUopGDAAPvgAtm6F9u3NUKCbW87HdTb8LJWLVc75Awsh8g25knJQ+/aZq5169aBwYShdGooVg1q1YPt2mDMHNm82s0IsXQpNmpjpi8Csllu4sFk996+/cidBgfVB3qJyJSWEyDq5knIg8fGwZAmMHQubNplE8+STZmmMMmXg5Ek4c8Zs79LF7LNqFfTunbxs3MsLTp2CUqVM9V5uCI4I5trNa1I0IYTIFklSduzSJbOQYFQUXL8O8+aZRQUrVTLVef37m6untHh5mQKIO5UunSshA2amiV4Le+Hu4s6zNZ/NvRMJIe55kqTsVHi4GY47ePB22xNPwKhR8Oyz4GLH/+U++/czNgZuZEbHGdQqVcvW4QghHJgdf9TlLxaLuXIqXdpM4tqliykF//tv87ySi0vyxQTt1dJjSxmxdQSvNHyFPvX72DocIYSDk8IJG7NYTHVdgwZQtqyp0GvQANatMw/Stm5tSsQdIUGdCjtF30V9aVi2IWNaZ3GSQCGESEKupGxg4UJ4801zxRQXB2Fh5tmlb781BQ2HDsHPP5vycUcRHRtN17+64qScmP/CfAq6FLR1SEKIe4AkqTx26hS8+CJUrgyPPmqupJo2he7dc6/SLrfdiL3BqyteZf+F/SzvsVyejRJC5BhJUnkoJgZ69DDJaPny7E05ZGtaa/ac38OMAzOYcWAG4bfC+fzJz2lXo52tQxNC3EMkSeWyK1fMs0phYebh2l27zD0oWySoKXunMGnPJNb3W5/l+fQuRV1ixJYR/Hn4T4IignBzdqNL7S680vAVnqyUiSnShRAiAyRJ5QKt4exZc19pwgTznFOC9983iwfmtbDoMIasHcK1m9f4cfuPfNH0iwztFxkTSfjNcG7E3mDJsSV8velrbsTeoF31dgx/ajjta7SnZKGSuRy9ECK/kiSVg1asgBEjTOHDtWtmgtYePcxS65Urw3333Z7MNbdprQFQ1rLA77Z8R/jNcB4u/zA/bPuBwY0G41XYC4DY+FhcnU1gl29cZs6hOaw5vYaDFw8mLreRoG31toxqOUqefxJC5AlJUhlw5wd+QtuN2BsUditMVJS5Qpr4ayyVGwTSrXtVfH2caNPm9nx5SfebuHsiU/dNpVfdXrz0wP+3d+fBVVZnHMe/PyAgCcgii0pSCdQtOKIQRdwLAqIzRce6iygdpVgV94J2nLq0FZfacaRTKLhNO2W01qp1QUSUcQFJ2CSoGJZiNCJBRCEiEZ7+cU7ggiQQILnvDc9n5k7ee97z3nuee3Lf577nvve8V9J2vx9PG7HZNjPm9TFMmjuJi4+6mBGFI+iQ3YHFqxez/OvlVFRWUFFZwar1q6j4rgKA/vn96Zffj7dXvM242eMo+6aMhwY+RP/8/jwy6xGG9hzKHafcQcG4Au556x5uO+k2rnrxKqYsmUKX1l3I3T+XOeVzqNpcxeEHHM5JeScxond43pbNWtK9fXdOzDux/l5o55zbjqp3wI1dYWGhFRUV7da27376Lte8dA0jC0dy6dGXsmjVIq578VbeXzmDNmtPYeOsK/iu+Qpanfo31jX5nI7ZHRnQfQCtslqxfO1yKqsqOb/gfC7scSF3Tr+TCXMmkLt/LmXflJGTlUP39t2p2lRF6xatGXr0UC7ocQHXvXIdT5c8Td/cvhSXF7Nx08YftatZk2Z0yO5Ah+wOVFZVsnTN0i3renbuSU7zHN799F0653RmzYY1LL52MYe0PYSR/x3JxLkTycnK4YfNPzCi9whWf7ea5V8vp9dBvRjWcxg9D+y526+1c87tjKRiMyvcaT1PUjv3xrI3uGnKTcxfOZ/srGwqqyphfSealFxMVsHLfN/qE4QY9NNBnH3o2cwsm8nUpVMxM7q27UrV5irmfTFvy+ONPmk09/a7l/kr5zO+aDwr168kq2kWy9Yso7i8eEu9BwY8wM19b6aisoLJCycDcNgBh5HfLp9OOZ1o06LNNkd3pV+VMn3ZdAo6FnBi3okYxsPvPcztb9zODX1uYOyAsQCUf1tOj7/0oEenHjwx5Am6t9/ucM855+qZJ6nt7EmSev11uOtuY1XzWXzW6QnWfZbLz7JH8cT41uTlhVOx27dsT7d23Wp8jHlfzGPywsn06dKHc488t8Z6RZ8X8fjcxzmj2xm11quLtRvW0rpFa5po6wQjlVWVtGzWcpsk55xzDcWT1Hb2JElNmwb33gvZ2eHyGIMHhx/k+v7dOed2z64mKT9xYhf07x9uzjnnGpZPMOuccy6xPEk555xLLE9SzjnnEsuTlHPOucTyJOWccy6xMjpJSTpT0seSSiWNTnd7nHPO7V0Zm6QkNQXGAYOBAuBiSQXpbZVzzrm9KWOTFHA8UGpmS81sIzAZGJLmNjnnnNuLMjlJdQE+TblfFsu2kHS1pCJJRatWrWrQxjnnnNtzmTzjxI4mJdpmjiczmwBMAJC0StL/9uD5OgAVe7B9UngcyeJxJEtjiCNTYjhkVyplcpIqA/JS7ucCn9dU2cw67smTSSralXmmks7jSBaPI1kaQxyNIYZUmTzcNxs4VFK+pObARcALaW6Tc865vShjj6TM7AdJ1wJTgKbAY2ZWkuZmOeec24syNkkBmNnLwMsN9HQTGuh56pvHkSweR7I0hjgaQwxb7DPXk3LOOZd5Mvk7Keecc42cJynnnHOJtU8nKUmPSfpS0sKUsmMkzZQ0L/4Q+PhY3kbSi5LmSyqRdGXKNsMkfRJvwxISR09J70n6ILZ7/5R1Y+J8hx9LGpRSnta5EOsSh6QBkopjebGkfinb9I7lpZIekbSj39SlPYaU9T+RtE7SLSllGdMXcd3RcV1JXL9fLE9bX9Q1DklZkp6M5R9KGpOyTbr7I0/S9NiuEkmjYnl7SVPjvmeqpHaxXPH1LpW0QFKvlMdK6/6qzsxsn70BpwK9gIUpZa8Bg+PyWcCbcfl2YGxc7gh8BTQH2gNL4992cbldAuKYDZwWl4cD98TlAmA+0ALIB5YQzo5sGpe7xbjmAwUJjuNY4OC4fBTwWco27wN9CT/4fqW6P5MWQ8r6Z4FngFvi/Uzri2bAAqBnvH8A0DTdfbEbcVwCTI7L2cByoGtC+uMgoFdcbg0sju/l+4HRsXw0W/dRZ8XXW8AJwKxYnvb9VV1v+/SRlJnNICSbbYqB6k+Ibdj6A2EDWsdPgq3idj8Ag4CpZvaVma0BpgJn1nfbt2nwjuM4HJgRl6cC58XlIYQ34vdmtgwoJcyDmPa5EOsSh5nNNbPqvikB9pPUQtJBwP5m9p6Fd+VTwDn13/qgjn2BpHMIO4rUn09kVF8AA4EFZjY/brvazDaluy9iW+oShwE5kpoBLYGNwDckoz/KzWxOXP4W+JAwDdwQ4MlY7Um2vr5DgKcsmAm0jf2R9v1VXe3TSaoGNwAPSPoUeBCoPuR/FDiSkLQ+AEaZ2WZ2YQ7BNFkI/Dwun8/W2Tlqam+mxZHqPGCumX1PaHNZyrokxLHDGCTlAL8B7tqufqb1xWGASZoiaY6k22J5EvsCao7jX8B6oBxYATxoZl+RsP6Q1JUwkjAL6Gxm5RASGdApVsu093mNPEn92EjgRjPLA24EJsXyQcA84GDgGODROJa90zkE02Q48GtJxYThgY2xvKb2ZlocAEjqAYwFRlQX7eAx0h1HTTHcBTxsZuu2q5/EGKDmOJoBJwOXxr/nSupP5sVxPLCJ8B7PB26W1I0ExSGpFWF4+AYz+6a2qjsoS/L7vEYZ/WPeejIMGBWXnwEmxuUrgfvisEWppGXAEYRPIqenbJ8LvNkgLa2FmX1EGIZB0mHA2XFVbXMe7vJciA2lljiQlAs8B1xuZkticRmh7dXSHkctMfQBfiHpfqAtsFnSBqCYzOqLMuAtM6uI614mfA/0dxLWF1BrHJcAr5pZFfClpHeAQsKRR9r7Q1IWIUH9w8z+HYtXSjrIzMrjcN6Xsbym93ki91e18SOpH/scOC0u9wM+icsrgP4AkjoTxrWXEqZlGiipXTyzZmAsSytJneLfJsBvgb/GVS8AF8Xvb/KBQwlfbidyLsSa4pDUFngJGGNm71TXj0Me30o6IX5/eDnwfIM3PEVNMZjZKWbW1cy6An8G/mBmj5JhfUH4fz9aUnb8Puc0YFES+wJqjWMF0C+eGZdDOOHgIxLQH/H1mwR8aGZ/Sln1AuGDNfHv8ynll8dYTgDWxv5I5P6qVuk+cyOdN+CfhPHnKsInjF8ShiuKCWfwzAJ6x7oHE878+4Awpn1ZyuMMJ5yAUApcmZA4RhHOAFoM3EecXSTWv4NwttLHpJxtRTgjaHFcd0eS4yDsXNYThmCrb53iusLYR0sI3yUqiTFst93viGf3ZVpfxPqXEU7+WAjcn1Ketr7Yjf+pVoTRkxJgEXBrgvrjZMKw3IKU//ezCGdSTiN8mJ4GtI/1Rbhy+RLCPqsw5bHSur+q682nRXLOOZdYPtznnHMusTxJOeecSyxPUs455xLLk5RzzrnE8iTlnHMusTxJOeecSyxPUs41UpKaprsNzu0pT1LOJYCke6qvERTv/17S9ZJulTQ7XhPorpT1/1G4jlaJpKtTytdJulvSLMIlMpzLaJ6knEuGScTpbeJ0PRcBKwnTVh1PmNS4t6RTY/3hZtabMKPD9ZIOiOU5hGsn9TGztxsyAOfqg08w61wCmNlySaslHQt0BuYCxxHmVpsbq7UiJK0ZhMR0bizPi+WrCbN4P9uQbXeuPnmSci45JgJXAAcCjxEmNP6jmY1PrSTpdOAMoK+ZVUp6E9gvrt5gZpsaqsHO1Tcf7nMuOZ4jXCX1OMLM1FOA4fEaQkjqEmfwbgOsiQnqCMJs3c41Sn4k5VxCmNlGSdOBr+PR0GuSjgTeC1dqYB1htvFXgV9JWkCYyX5mutrsXH3zWdCdS4h4wsQc4Hwz+2Rn9Z3bF/hwn3MJIKmAcH2faZ6gnNvKj6Scc84llh9JOeecSyxPUs455xLLk5RzzrnE8iTlnHMusTxJOeecS6z/A6aZb6S7k/C/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "ax = total_births.plot(title='Total births by year') \n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "p3MKOqI_ACZc",
    "outputId": "043cb8c2-20e3-4c97-e797-4639fa8fd7d7"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>sex</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1880</th>\n",
       "      <td>90993</td>\n",
       "      <td>110493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>91955</td>\n",
       "      <td>100748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1882</th>\n",
       "      <td>107851</td>\n",
       "      <td>113687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>112322</td>\n",
       "      <td>104632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1884</th>\n",
       "      <td>129021</td>\n",
       "      <td>114445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>1896468</td>\n",
       "      <td>2050234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>1916888</td>\n",
       "      <td>2069242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>1883645</td>\n",
       "      <td>2032310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>1827643</td>\n",
       "      <td>1973359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>1759010</td>\n",
       "      <td>1898382</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>131 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "sex         F        M\n",
       "year                  \n",
       "1880    90993   110493\n",
       "1881    91955   100748\n",
       "1882   107851   113687\n",
       "1883   112322   104632\n",
       "1884   129021   114445\n",
       "...       ...      ...\n",
       "2006  1896468  2050234\n",
       "2007  1916888  2069242\n",
       "2008  1883645  2032310\n",
       "2009  1827643  1973359\n",
       "2010  1759010  1898382\n",
       "\n",
       "[131 rows x 2 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_births"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "A5qu31VgACZd"
   },
   "source": [
    "## Alternative plotting script"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q_jNJQaEACZe"
   },
   "source": [
    "The above graph is great and often what we want is just to take a quick look at the relationships in the data, and a data frame plot will do exactly the right thing with no customization.  It's helpful to know that `pandas` is using a Python package called `matplotlib` to draw the graph above, and we can do the same ourselves, with a lot more lines of code, but also with alot more customization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "mcbb1KPKACZe",
    "outputId": "5fde64fe-c8c0-4173-ac6b-99c12dac2dba"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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994+yaE9TMzQ0Qn4CJqr3xvTJsGGbH1hHPQg9kagAAXzC4r339jxh0TlYuNBX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\nCCIiItKHAoKIiIj08f8BRD/MG5mJ4JcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11894a8d0>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure(1,figsize=(8,8))\n",
    "ax1 = fig.add_subplot(111)\n",
    "fig.subplots_adjust(top=0.9,left=0.2)\n",
    "ax1.set_ylabel('births')\n",
    "\n",
    "ax1.set_xlabel('year')\n",
    "(p1,) = ax1.plot(total_births.index,total_births.F,color='pink',label='F')\n",
    "(p2, ) = ax1.plot(total_births.index,total_births.M,color='blue',label='M')\n",
    "ax1.set_title('Total births by sex and year')\n",
    "    \n",
    "ax1.legend((p2,p1),('M','F'),loc='upper left',title='sex')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Jr7WOOmHACZg"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 164
    },
    "id": "lhDGSQpARd7I",
    "outputId": "2159c7a0-0cf6-424e-e80f-49689c41b176"
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "ignored",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-79-73bb3277d34b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisplay\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: module 'pandas' has no attribute 'display'"
     ]
    }
   ],
   "source": [
    "pd.display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "eOl5EcGrACZh"
   },
   "outputs": [],
   "source": [
    "# The usual preamble\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "# Make the graphs a bit prettier, and bigger\n",
    "#pd.set_option('display.mpl_style', 'default') \n",
    "pd.set_option('display.width', 5000) \n",
    "pd.set_option('display.max_columns', 60)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "X20Rq_OmACZi"
   },
   "source": [
    "# 2.1 What's even in it? (the summary)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fpkhTFHxACZj"
   },
   "source": [
    "We're going to use a new dataset here, to demonstrate how to deal with larger datasets. This is a subset of the of 311 service requests from [NYC Open Data](https://nycopendata.socrata.com/Social-Services/311-Service-Requests-from-2010-to-Present/erm2-nwe9). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "rx4BT-FWACZj",
    "outputId": "8a38defc-01f9-48a0-db86-bb4e2bf6baf9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/gawron/ext/src/sphinx/python_for_ss/ipython_notebooks/pandas\n",
      "/Users/gawron/ext/src/sphinx/python_for_ss/ipython_notebooks\n"
     ]
    }
   ],
   "source": [
    "import os.path\n",
    "print(os.getcwd())\n",
    "## Assuming data is in a directory called '/Users/gawron/ext/src/sphinx/python_for_ss/data'\n",
    "data_path = '/Users/gawron/ext/src/sphinx/python_for_ss/ipython_notebooks'\n",
    "os.chdir(data_path)\n",
    "print(os.getcwd())      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "9yl3hg44ACZl"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "complaints = pd.read_csv('311-service-requests.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "AlpRGUYCACZm",
    "outputId": "016eeee4-8c24-42d6-c917-f1c37a6579ed"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 17,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(complaints)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5pH0fWj-ACZn"
   },
   "source": [
    "When you look at a large dataframe, instead of showing you the contents of the dataframe, it'll show you a *summary*. This includes all the columns, and how many non-null values there are in each column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "A_Vy_ZdEACZo",
    "outputId": "c80f7f8b-e6c0-4c86-c9fb-fd4cb090ef6c",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unique Key</th>\n",
       "      <th>Created Date</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>Agency</th>\n",
       "      <th>Agency Name</th>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Descriptor</th>\n",
       "      <th>Location Type</th>\n",
       "      <th>Incident Zip</th>\n",
       "      <th>Incident Address</th>\n",
       "      <th>Street Name</th>\n",
       "      <th>Cross Street 1</th>\n",
       "      <th>Cross Street 2</th>\n",
       "      <th>Intersection Street 1</th>\n",
       "      <th>Intersection Street 2</th>\n",
       "      <th>Address Type</th>\n",
       "      <th>City</th>\n",
       "      <th>Landmark</th>\n",
       "      <th>Facility Type</th>\n",
       "      <th>Status</th>\n",
       "      <th>Due Date</th>\n",
       "      <th>Resolution Action Updated Date</th>\n",
       "      <th>Community Board</th>\n",
       "      <th>Borough</th>\n",
       "      <th>X Coordinate (State Plane)</th>\n",
       "      <th>Y Coordinate (State Plane)</th>\n",
       "      <th>Park Facility Name</th>\n",
       "      <th>Park Borough</th>\n",
       "      <th>School Name</th>\n",
       "      <th>School Number</th>\n",
       "      <th>School Region</th>\n",
       "      <th>School Code</th>\n",
       "      <th>School Phone Number</th>\n",
       "      <th>School Address</th>\n",
       "      <th>School City</th>\n",
       "      <th>School State</th>\n",
       "      <th>School Zip</th>\n",
       "      <th>School Not Found</th>\n",
       "      <th>School or Citywide Complaint</th>\n",
       "      <th>Vehicle Type</th>\n",
       "      <th>Taxi Company Borough</th>\n",
       "      <th>Taxi Pick Up Location</th>\n",
       "      <th>Bridge Highway Name</th>\n",
       "      <th>Bridge Highway Direction</th>\n",
       "      <th>Road Ramp</th>\n",
       "      <th>Bridge Highway Segment</th>\n",
       "      <th>Garage Lot Name</th>\n",
       "      <th>Ferry Direction</th>\n",
       "      <th>Ferry Terminal Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>26589651</td>\n",
       "      <td>10/31/2013 02:08:41 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11432</td>\n",
       "      <td>90-03 169 STREET</td>\n",
       "      <td>169 STREET</td>\n",
       "      <td>90 AVENUE</td>\n",
       "      <td>91 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>JAMAICA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 10:08:41 AM</td>\n",
       "      <td>10/31/2013 02:35:17 AM</td>\n",
       "      <td>12 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1042027</td>\n",
       "      <td>197389</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.708275</td>\n",
       "      <td>-73.791604</td>\n",
       "      <td>(40.70827532593202, -73.79160395779721)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>26593698</td>\n",
       "      <td>10/31/2013 02:01:04 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Commercial Overnight Parking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11378</td>\n",
       "      <td>58 AVENUE</td>\n",
       "      <td>58 AVENUE</td>\n",
       "      <td>58 PLACE</td>\n",
       "      <td>59 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>MASPETH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 10:01:04 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>05 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1009349</td>\n",
       "      <td>201984</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.721041</td>\n",
       "      <td>-73.909453</td>\n",
       "      <td>(40.721040535628305, -73.90945306791765)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26594139</td>\n",
       "      <td>10/31/2013 02:00:24 AM</td>\n",
       "      <td>10/31/2013 02:40:32 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10032</td>\n",
       "      <td>4060 BROADWAY</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>WEST 171 STREET</td>\n",
       "      <td>WEST 172 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 10:00:24 AM</td>\n",
       "      <td>10/31/2013 02:39:42 AM</td>\n",
       "      <td>12 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1001088</td>\n",
       "      <td>246531</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.843330</td>\n",
       "      <td>-73.939144</td>\n",
       "      <td>(40.84332975466513, -73.93914371913482)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26595721</td>\n",
       "      <td>10/31/2013 01:56:23 AM</td>\n",
       "      <td>10/31/2013 02:21:48 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Horn</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10023</td>\n",
       "      <td>WEST 72 STREET</td>\n",
       "      <td>WEST 72 STREET</td>\n",
       "      <td>COLUMBUS AVENUE</td>\n",
       "      <td>AMSTERDAM AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:56:23 AM</td>\n",
       "      <td>10/31/2013 02:21:10 AM</td>\n",
       "      <td>07 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>989730</td>\n",
       "      <td>222727</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.778009</td>\n",
       "      <td>-73.980213</td>\n",
       "      <td>(40.7780087446372, -73.98021349023975)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26590930</td>\n",
       "      <td>10/31/2013 01:53:44 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOHMH</td>\n",
       "      <td>Department of Health and Mental Hygiene</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>Condition Attracting Rodents</td>\n",
       "      <td>Vacant Lot</td>\n",
       "      <td>10027</td>\n",
       "      <td>WEST 124 STREET</td>\n",
       "      <td>WEST 124 STREET</td>\n",
       "      <td>LENOX AVENUE</td>\n",
       "      <td>ADAM CLAYTON POWELL JR BOULEVARD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pending</td>\n",
       "      <td>11/30/2013 01:53:44 AM</td>\n",
       "      <td>10/31/2013 01:59:54 AM</td>\n",
       "      <td>10 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>998815</td>\n",
       "      <td>233545</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.807691</td>\n",
       "      <td>-73.947387</td>\n",
       "      <td>(40.80769092704951, -73.94738703491433)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26592370</td>\n",
       "      <td>10/31/2013 01:46:52 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11372</td>\n",
       "      <td>37 AVENUE</td>\n",
       "      <td>37 AVENUE</td>\n",
       "      <td>84 STREET</td>\n",
       "      <td>85 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>JACKSON HEIGHTS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 09:46:52 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>03 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1016948</td>\n",
       "      <td>212540</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.749989</td>\n",
       "      <td>-73.881988</td>\n",
       "      <td>(40.7499893014072, -73.88198770727831)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>26595682</td>\n",
       "      <td>10/31/2013 01:46:40 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11419</td>\n",
       "      <td>107-50 109 STREET</td>\n",
       "      <td>109 STREET</td>\n",
       "      <td>107 AVENUE</td>\n",
       "      <td>109 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>SOUTH RICHMOND HILL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 09:46:40 AM</td>\n",
       "      <td>10/31/2013 01:59:51 AM</td>\n",
       "      <td>10 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1030919</td>\n",
       "      <td>187622</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.681533</td>\n",
       "      <td>-73.831737</td>\n",
       "      <td>(40.68153278675525, -73.83173699701601)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26595195</td>\n",
       "      <td>10/31/2013 01:44:19 AM</td>\n",
       "      <td>10/31/2013 01:58:49 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11417</td>\n",
       "      <td>137-09 CROSSBAY BOULEVARD</td>\n",
       "      <td>CROSSBAY BOULEVARD</td>\n",
       "      <td>PITKIN AVENUE</td>\n",
       "      <td>VAN WICKLEN ROAD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>OZONE PARK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:44:19 AM</td>\n",
       "      <td>10/31/2013 01:58:49 AM</td>\n",
       "      <td>10 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1027776</td>\n",
       "      <td>184076</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.671816</td>\n",
       "      <td>-73.843092</td>\n",
       "      <td>(40.67181584567338, -73.84309181950769)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>26590540</td>\n",
       "      <td>10/31/2013 01:44:14 AM</td>\n",
       "      <td>10/31/2013 02:28:04 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10011</td>\n",
       "      <td>258 WEST 15 STREET</td>\n",
       "      <td>WEST 15 STREET</td>\n",
       "      <td>7 AVENUE</td>\n",
       "      <td>8 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:44:14 AM</td>\n",
       "      <td>10/31/2013 02:00:56 AM</td>\n",
       "      <td>04 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>984031</td>\n",
       "      <td>208847</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.739913</td>\n",
       "      <td>-74.000790</td>\n",
       "      <td>(40.73991339303542, -74.00079028612932)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>26594392</td>\n",
       "      <td>10/31/2013 01:34:41 AM</td>\n",
       "      <td>10/31/2013 02:23:51 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11225</td>\n",
       "      <td>835 NOSTRAND AVENUE</td>\n",
       "      <td>NOSTRAND AVENUE</td>\n",
       "      <td>UNION STREET</td>\n",
       "      <td>PRESIDENT STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:34:41 AM</td>\n",
       "      <td>10/31/2013 01:48:26 AM</td>\n",
       "      <td>09 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>997941</td>\n",
       "      <td>182725</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.668204</td>\n",
       "      <td>-73.950648</td>\n",
       "      <td>(40.66820406598287, -73.95064760056546)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>26595176</td>\n",
       "      <td>10/31/2013 01:25:12 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>11218</td>\n",
       "      <td>3775 18 AVENUE</td>\n",
       "      <td>18 AVENUE</td>\n",
       "      <td>EAST 9 STREET</td>\n",
       "      <td>EAST 8 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 09:25:12 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>992726</td>\n",
       "      <td>170399</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.634378</td>\n",
       "      <td>-73.969462</td>\n",
       "      <td>(40.63437840816299, -73.96946177104543)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>26591982</td>\n",
       "      <td>10/31/2013 01:24:14 AM</td>\n",
       "      <td>10/31/2013 01:54:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10003</td>\n",
       "      <td>187 2 AVENUE</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>EAST 11 STREET</td>\n",
       "      <td>EAST 12 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:24:14 AM</td>\n",
       "      <td>10/31/2013 01:54:39 AM</td>\n",
       "      <td>03 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>988110</td>\n",
       "      <td>205533</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.730816</td>\n",
       "      <td>-73.986073</td>\n",
       "      <td>(40.73081644089586, -73.98607265739876)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26594169</td>\n",
       "      <td>10/31/2013 01:20:57 AM</td>\n",
       "      <td>10/31/2013 02:12:31 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Double Parked Blocking Vehicle</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10029</td>\n",
       "      <td>65 EAST 99 STREET</td>\n",
       "      <td>EAST 99 STREET</td>\n",
       "      <td>MADISON AVENUE</td>\n",
       "      <td>PARK AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:20:57 AM</td>\n",
       "      <td>10/31/2013 01:42:05 AM</td>\n",
       "      <td>11 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>997470</td>\n",
       "      <td>226725</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.788974</td>\n",
       "      <td>-73.952259</td>\n",
       "      <td>(40.78897400211689, -73.95225898702977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>26594391</td>\n",
       "      <td>10/31/2013 01:20:13 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Engine Idling</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10466</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>STRANG AVENUE</td>\n",
       "      <td>AMUNDSON AVENUE</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 09:20:13 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12 BRONX</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>1029467</td>\n",
       "      <td>264124</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BRONX</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.891517</td>\n",
       "      <td>-73.836457</td>\n",
       "      <td>(40.89151738488846, -73.83645714593568)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>26590917</td>\n",
       "      <td>10/31/2013 01:19:54 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOHMH</td>\n",
       "      <td>Department of Health and Mental Hygiene</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>Rat Sighting</td>\n",
       "      <td>1-2 Family Mixed Use Building</td>\n",
       "      <td>11219</td>\n",
       "      <td>63 STREET</td>\n",
       "      <td>63 STREET</td>\n",
       "      <td>13 AVENUE</td>\n",
       "      <td>14 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Pending</td>\n",
       "      <td>11/30/2013 01:19:54 AM</td>\n",
       "      <td>10/31/2013 01:29:26 AM</td>\n",
       "      <td>10 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>984467</td>\n",
       "      <td>167519</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.626477</td>\n",
       "      <td>-73.999218</td>\n",
       "      <td>(40.6264774690411, -73.99921826202639)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>26591458</td>\n",
       "      <td>10/31/2013 01:14:02 AM</td>\n",
       "      <td>10/31/2013 01:30:34 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WEST   99 STREET</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 09:14:02 AM</td>\n",
       "      <td>10/31/2013 01:30:34 AM</td>\n",
       "      <td>07 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>992454</td>\n",
       "      <td>229500</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.796597</td>\n",
       "      <td>-73.970370</td>\n",
       "      <td>(40.7965967075252, -73.97036973473399)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>26594086</td>\n",
       "      <td>10/31/2013 12:54:03 AM</td>\n",
       "      <td>10/31/2013 02:16:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10310</td>\n",
       "      <td>173 CAMPBELL AVENUE</td>\n",
       "      <td>CAMPBELL AVENUE</td>\n",
       "      <td>HENDERSON AVENUE</td>\n",
       "      <td>WINEGAR LANE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 08:54:03 AM</td>\n",
       "      <td>10/31/2013 02:07:14 AM</td>\n",
       "      <td>01 STATEN ISLAND</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>952013</td>\n",
       "      <td>171076</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.636182</td>\n",
       "      <td>-74.116150</td>\n",
       "      <td>(40.63618202176914, -74.1161500428337)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>26595117</td>\n",
       "      <td>10/31/2013 12:52:46 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ROCKAWAY PARKWAY</td>\n",
       "      <td>SKIDMORE AVENUE</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 08:52:46 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1015289</td>\n",
       "      <td>169710</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.632437</td>\n",
       "      <td>-73.888173</td>\n",
       "      <td>(40.63243692394328, -73.88817263437012)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>26590389</td>\n",
       "      <td>10/31/2013 12:51:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOT</td>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Street Light Condition</td>\n",
       "      <td>Street Light Out</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226 42 ST E</td>\n",
       "      <td>42 ST E</td>\n",
       "      <td>CHURCH AVE</td>\n",
       "      <td>SNYDER AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unspecified BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>26594210</td>\n",
       "      <td>10/31/2013 12:46:27 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WEST  184 STREET</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 08:46:27 AM</td>\n",
       "      <td>10/31/2013 01:32:41 AM</td>\n",
       "      <td>12 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1002294</td>\n",
       "      <td>249712</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.852058</td>\n",
       "      <td>-73.934776</td>\n",
       "      <td>(40.85205827756883, -73.93477640780834)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>26592932</td>\n",
       "      <td>10/31/2013 12:43:47 AM</td>\n",
       "      <td>10/31/2013 12:56:20 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>11216</td>\n",
       "      <td>778 PARK PLACE</td>\n",
       "      <td>PARK PLACE</td>\n",
       "      <td>ROGERS AVENUE</td>\n",
       "      <td>NOSTRAND AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 08:43:47 AM</td>\n",
       "      <td>10/31/2013 12:56:20 AM</td>\n",
       "      <td>08 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>997608</td>\n",
       "      <td>184656</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.673505</td>\n",
       "      <td>-73.951844</td>\n",
       "      <td>(40.67350473678714, -73.95184414979961)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>26594152</td>\n",
       "      <td>10/31/2013 12:41:17 AM</td>\n",
       "      <td>10/31/2013 01:04:37 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>Store/Commercial</td>\n",
       "      <td>10016</td>\n",
       "      <td>155 E 34TH ST</td>\n",
       "      <td>E 34TH ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LATLONG</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 08:41:17 AM</td>\n",
       "      <td>10/31/2013 01:04:38 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>990133</td>\n",
       "      <td>211136</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.746194</td>\n",
       "      <td>-73.978769</td>\n",
       "      <td>(40.74619417253121, -73.97876853124392)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>26589678</td>\n",
       "      <td>10/31/2013 12:39:55 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Music</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112 STREET</td>\n",
       "      <td>ATLANTIC AVENUE</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>SOUTH RICHMOND HILL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Open</td>\n",
       "      <td>10/31/2013 08:39:55 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>09 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1030314</td>\n",
       "      <td>191578</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.692394</td>\n",
       "      <td>-73.833891</td>\n",
       "      <td>(40.69239424979043, -73.8338912453996)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>26592304</td>\n",
       "      <td>10/31/2013 12:38:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11216</td>\n",
       "      <td>371 TOMPKINS AVENUE</td>\n",
       "      <td>TOMPKINS AVENUE</td>\n",
       "      <td>MADISON STREET</td>\n",
       "      <td>PUTNAM AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 08:38:00 AM</td>\n",
       "      <td>10/31/2013 01:16:53 AM</td>\n",
       "      <td>03 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>999720</td>\n",
       "      <td>188825</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.684944</td>\n",
       "      <td>-73.944221</td>\n",
       "      <td>(40.6849442562592, -73.94422078036632)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>26591892</td>\n",
       "      <td>10/31/2013 12:37:16 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>Partial Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10305</td>\n",
       "      <td>1496 BAY STREET</td>\n",
       "      <td>BAY STREET</td>\n",
       "      <td>LYMAN AVENUE</td>\n",
       "      <td>SCHOOL ROAD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 08:37:16 AM</td>\n",
       "      <td>10/31/2013 12:52:10 AM</td>\n",
       "      <td>01 STATEN ISLAND</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>967283</td>\n",
       "      <td>160518</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.607245</td>\n",
       "      <td>-74.061106</td>\n",
       "      <td>(40.60724493456944, -74.06110566015863)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26591573</td>\n",
       "      <td>10/31/2013 12:35:18 AM</td>\n",
       "      <td>10/31/2013 02:41:35 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10312</td>\n",
       "      <td>24 PRINCETON LANE</td>\n",
       "      <td>PRINCETON LANE</td>\n",
       "      <td>HAMPTON GREEN</td>\n",
       "      <td>DEAD END</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/31/2013 08:35:18 AM</td>\n",
       "      <td>10/31/2013 01:45:17 AM</td>\n",
       "      <td>03 STATEN ISLAND</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>929577</td>\n",
       "      <td>140964</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.553421</td>\n",
       "      <td>-74.196743</td>\n",
       "      <td>(40.55342078716953, -74.19674315017886)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26590509</td>\n",
       "      <td>10/31/2013 12:33:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOT</td>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Street Light Condition</td>\n",
       "      <td>Street Light Out</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38 ST E</td>\n",
       "      <td>38 ST E</td>\n",
       "      <td>CHURCH AVE</td>\n",
       "      <td>LINDEN BLVD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BLOCKFACE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unspecified BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>26591379</td>\n",
       "      <td>10/31/2013 12:32:44 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOHMH</td>\n",
       "      <td>Department of Health and Mental Hygiene</td>\n",
       "      <td>Harboring Bees/Wasps</td>\n",
       "      <td>Bees/Wasps - Not a beekeper</td>\n",
       "      <td>3+ Family Mixed Use Building</td>\n",
       "      <td>10025</td>\n",
       "      <td>501 WEST 110 STREET</td>\n",
       "      <td>WEST 110 STREET</td>\n",
       "      <td>AMSTERDAM AVENUE</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>11/30/2013 12:32:44 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>09 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>994143</td>\n",
       "      <td>231888</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.803149</td>\n",
       "      <td>-73.964266</td>\n",
       "      <td>(40.80314938553783, -73.96426608076082)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>26594085</td>\n",
       "      <td>10/31/2013 12:32:08 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10026</td>\n",
       "      <td>121 WEST 116 STREET</td>\n",
       "      <td>WEST 116 STREET</td>\n",
       "      <td>LENOX AVENUE</td>\n",
       "      <td>7 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Assigned</td>\n",
       "      <td>10/31/2013 08:32:08 AM</td>\n",
       "      <td>10/31/2013 02:00:57 AM</td>\n",
       "      <td>10 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>997947</td>\n",
       "      <td>231613</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.802390</td>\n",
       "      <td>-73.950526</td>\n",
       "      <td>(40.80238950799943, -73.95052644123253)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>26589201</td>\n",
       "      <td>10/31/2013 12:32:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DOT</td>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Street Light Condition</td>\n",
       "      <td>Street Light Out</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10309</td>\n",
       "      <td>295 BAYVIEW AVENUE</td>\n",
       "      <td>BAYVIEW AVENUE</td>\n",
       "      <td>VAIL AVENUE</td>\n",
       "      <td>BAYVIEW LANE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>03 STATEN ISLAND</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>927687</td>\n",
       "      <td>127837</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>STATEN ISLAND</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.517378</td>\n",
       "      <td>-74.203435</td>\n",
       "      <td>(40.517377871705676, -74.20343466779575)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111039</th>\n",
       "      <td>26428764</td>\n",
       "      <td>10/04/2013 12:17:03 AM</td>\n",
       "      <td>10/04/2013 12:38:37 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10022</td>\n",
       "      <td>249 EAST 53 STREET</td>\n",
       "      <td>EAST 53 STREET</td>\n",
       "      <td>3 AVENUE</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:17:03 AM</td>\n",
       "      <td>10/04/2013 12:38:37 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>993036</td>\n",
       "      <td>215164</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.757248</td>\n",
       "      <td>-73.968286</td>\n",
       "      <td>(40.757247604963055, -73.96828647941395)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111040</th>\n",
       "      <td>26426166</td>\n",
       "      <td>10/04/2013 12:16:22 AM</td>\n",
       "      <td>10/04/2013 05:50:49 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Store/Commercial</td>\n",
       "      <td>10029</td>\n",
       "      <td>252 EAST 110 STREET</td>\n",
       "      <td>EAST 110 STREET</td>\n",
       "      <td>3 AVENUE</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:16:22 AM</td>\n",
       "      <td>10/04/2013 05:50:49 AM</td>\n",
       "      <td>11 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1000407</td>\n",
       "      <td>228425</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.793635</td>\n",
       "      <td>-73.941649</td>\n",
       "      <td>(40.79363516179995, -73.94164859515777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111041</th>\n",
       "      <td>26438565</td>\n",
       "      <td>10/04/2013 12:16:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Noise</td>\n",
       "      <td>Noise: Construction Before/After Hours (NM1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11231</td>\n",
       "      <td>480 VAN BRUNT STREET</td>\n",
       "      <td>VAN BRUNT STREET</td>\n",
       "      <td>REED STREET</td>\n",
       "      <td>DEAD END</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>06 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>979657</td>\n",
       "      <td>184924</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.674249</td>\n",
       "      <td>-74.016558</td>\n",
       "      <td>(40.6742492231181, -74.01655803856313)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111042</th>\n",
       "      <td>26428990</td>\n",
       "      <td>10/04/2013 12:15:52 AM</td>\n",
       "      <td>10/04/2013 12:44:52 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10014</td>\n",
       "      <td>733 WASHINGTON STREET</td>\n",
       "      <td>WASHINGTON STREET</td>\n",
       "      <td>BANK STREET</td>\n",
       "      <td>BETHUNE STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:15:52 AM</td>\n",
       "      <td>10/04/2013 12:44:52 AM</td>\n",
       "      <td>02 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>981950</td>\n",
       "      <td>207532</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.736304</td>\n",
       "      <td>-74.008299</td>\n",
       "      <td>(40.736303747410034, -74.00829935904578)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111043</th>\n",
       "      <td>26432659</td>\n",
       "      <td>10/04/2013 12:15:46 AM</td>\n",
       "      <td>10/04/2013 04:18:45 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11218</td>\n",
       "      <td>1213 CORTELYOU ROAD</td>\n",
       "      <td>CORTELYOU ROAD</td>\n",
       "      <td>EAST 12 STREET</td>\n",
       "      <td>EAST 13 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:15:46 AM</td>\n",
       "      <td>10/04/2013 04:18:45 AM</td>\n",
       "      <td>14 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>993451</td>\n",
       "      <td>172498</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.640139</td>\n",
       "      <td>-73.966847</td>\n",
       "      <td>(40.64013899178716, -73.96684680242933)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111044</th>\n",
       "      <td>26426096</td>\n",
       "      <td>10/04/2013 12:14:09 AM</td>\n",
       "      <td>10/04/2013 01:03:46 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10032</td>\n",
       "      <td>539 WEST 162 STREET</td>\n",
       "      <td>WEST 162 STREET</td>\n",
       "      <td>ST NICHOLAS AVENUE</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:14:09 AM</td>\n",
       "      <td>10/04/2013 01:03:46 AM</td>\n",
       "      <td>12 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>1000571</td>\n",
       "      <td>244054</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.836532</td>\n",
       "      <td>-73.941018</td>\n",
       "      <td>(40.836532082987944, -73.9410182995914)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111045</th>\n",
       "      <td>26437764</td>\n",
       "      <td>10/04/2013 12:14:00 AM</td>\n",
       "      <td>10/04/2013 12:14:00 AM</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Water System</td>\n",
       "      <td>Dirty Water (WE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10022</td>\n",
       "      <td>251 EAST 51 STREET</td>\n",
       "      <td>EAST 51 STREET</td>\n",
       "      <td>3 AVENUE</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/04/2013 12:14:00 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>992791</td>\n",
       "      <td>214702</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.755980</td>\n",
       "      <td>-73.969171</td>\n",
       "      <td>(40.75597977288785, -73.96917140638074)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111046</th>\n",
       "      <td>26436286</td>\n",
       "      <td>10/04/2013 12:14:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Noise</td>\n",
       "      <td>Noise: Construction Before/After Hours (NM1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11231</td>\n",
       "      <td>480 VAN BRUNT STREET</td>\n",
       "      <td>VAN BRUNT STREET</td>\n",
       "      <td>REED STREET</td>\n",
       "      <td>DEAD END</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>06 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>979657</td>\n",
       "      <td>184924</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.674249</td>\n",
       "      <td>-74.016558</td>\n",
       "      <td>(40.6742492231181, -74.01655803856313)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111047</th>\n",
       "      <td>26428989</td>\n",
       "      <td>10/04/2013 12:13:08 AM</td>\n",
       "      <td>10/04/2013 02:12:47 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GUY R BREWER BOULEVARD</td>\n",
       "      <td>ROCKAWAY BOULEVARD</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>JAMAICA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:13:08 AM</td>\n",
       "      <td>10/04/2013 02:12:47 AM</td>\n",
       "      <td>13 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1048801</td>\n",
       "      <td>178419</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.656160</td>\n",
       "      <td>-73.767353</td>\n",
       "      <td>(40.656160351546845, -73.76735262738222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111048</th>\n",
       "      <td>26430030</td>\n",
       "      <td>10/04/2013 12:12:07 AM</td>\n",
       "      <td>10/04/2013 02:45:24 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10027</td>\n",
       "      <td>215 WEST 131ST STREET</td>\n",
       "      <td>WEST 131ST STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LATLONG</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:12:07 AM</td>\n",
       "      <td>10/04/2013 02:45:24 AM</td>\n",
       "      <td>01 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>999107</td>\n",
       "      <td>235603</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.813339</td>\n",
       "      <td>-73.946328</td>\n",
       "      <td>(40.81333907832113, -73.94632769228208)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111049</th>\n",
       "      <td>26429663</td>\n",
       "      <td>10/04/2013 12:12:07 AM</td>\n",
       "      <td>10/04/2013 01:03:44 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11209</td>\n",
       "      <td>8915 5 AVENUE</td>\n",
       "      <td>5 AVENUE</td>\n",
       "      <td>89 STREET</td>\n",
       "      <td>90 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:12:07 AM</td>\n",
       "      <td>10/04/2013 01:03:44 AM</td>\n",
       "      <td>10 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>976525</td>\n",
       "      <td>165015</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.619601</td>\n",
       "      <td>-74.027826</td>\n",
       "      <td>(40.619601147364584, -74.02782628492785)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111050</th>\n",
       "      <td>26437763</td>\n",
       "      <td>10/04/2013 12:11:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Noise</td>\n",
       "      <td>Noise: Construction Before/After Hours (NM1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10028</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EAST 84 STREET</td>\n",
       "      <td>YORK AVENUE</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>08 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>998629</td>\n",
       "      <td>221493</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.774612</td>\n",
       "      <td>-73.948085</td>\n",
       "      <td>(40.77461174278734, -73.94808472177321)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111051</th>\n",
       "      <td>26432955</td>\n",
       "      <td>10/04/2013 12:08:15 AM</td>\n",
       "      <td>10/04/2013 12:48:02 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10009</td>\n",
       "      <td>506 EAST 13 STREET</td>\n",
       "      <td>EAST 13 STREET</td>\n",
       "      <td>AVENUE A</td>\n",
       "      <td>AVENUE B</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:08:15 AM</td>\n",
       "      <td>10/04/2013 12:48:03 AM</td>\n",
       "      <td>03 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>989678</td>\n",
       "      <td>205065</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.729531</td>\n",
       "      <td>-73.980416</td>\n",
       "      <td>(40.72953107218499, -73.98041550317102)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111052</th>\n",
       "      <td>26437035</td>\n",
       "      <td>10/04/2013 12:08:00 AM</td>\n",
       "      <td>10/04/2013 12:13:00 AM</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Water System</td>\n",
       "      <td>Dirty Water (WE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10022</td>\n",
       "      <td>325 EAST 54 STREET</td>\n",
       "      <td>EAST 54 STREET</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>1 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/04/2013 12:13:00 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>993688</td>\n",
       "      <td>215099</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.757069</td>\n",
       "      <td>-73.965933</td>\n",
       "      <td>(40.75706852462872, -73.96593314322774)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111053</th>\n",
       "      <td>26433197</td>\n",
       "      <td>10/04/2013 12:08:00 AM</td>\n",
       "      <td>10/04/2013 12:00:00 PM</td>\n",
       "      <td>DSNY</td>\n",
       "      <td>BCC - Queens East</td>\n",
       "      <td>Derelict Vehicles</td>\n",
       "      <td>14 Derelict Vehicles</td>\n",
       "      <td>Street</td>\n",
       "      <td>11413</td>\n",
       "      <td>220-11 145 AVENUE</td>\n",
       "      <td>145 AVENUE</td>\n",
       "      <td>221 STREET</td>\n",
       "      <td>221 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>Springfield Gardens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DSNY Garage</td>\n",
       "      <td>Pending</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/04/2013 12:08:00 AM</td>\n",
       "      <td>13 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1051511</td>\n",
       "      <td>181411</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.664353</td>\n",
       "      <td>-73.757556</td>\n",
       "      <td>(40.6643525308449, -73.75755575708348)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111054</th>\n",
       "      <td>26426060</td>\n",
       "      <td>10/04/2013 12:06:39 AM</td>\n",
       "      <td>10/04/2013 12:31:16 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11224</td>\n",
       "      <td>4823 BEACH 48 STREET</td>\n",
       "      <td>BEACH 48 STREET</td>\n",
       "      <td>BODY OF WATER</td>\n",
       "      <td>SURF AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:06:39 AM</td>\n",
       "      <td>10/04/2013 12:31:16 AM</td>\n",
       "      <td>13 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>980859</td>\n",
       "      <td>149681</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.577515</td>\n",
       "      <td>-74.012207</td>\n",
       "      <td>(40.57751513866536, -74.01220705163807)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111055</th>\n",
       "      <td>26430628</td>\n",
       "      <td>10/04/2013 12:06:28 AM</td>\n",
       "      <td>10/04/2013 12:21:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11209</td>\n",
       "      <td>7915 3 AVENUE</td>\n",
       "      <td>3 AVENUE</td>\n",
       "      <td>79 STREET</td>\n",
       "      <td>80 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:06:28 AM</td>\n",
       "      <td>10/04/2013 12:21:39 AM</td>\n",
       "      <td>10 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>976189</td>\n",
       "      <td>168214</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.628381</td>\n",
       "      <td>-74.029040</td>\n",
       "      <td>(40.62838143294541, -74.02904041333245)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111056</th>\n",
       "      <td>26431648</td>\n",
       "      <td>10/04/2013 12:06:26 AM</td>\n",
       "      <td>10/23/2013 08:14:52 AM</td>\n",
       "      <td>DOT</td>\n",
       "      <td>Department of Transportation</td>\n",
       "      <td>Street Sign - Missing</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>Street</td>\n",
       "      <td>11378</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54 AVENUE</td>\n",
       "      <td>43 STREET</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>MASPETH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/14/2013 09:38:47 AM</td>\n",
       "      <td>10/23/2013 08:14:52 AM</td>\n",
       "      <td>02 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1005171</td>\n",
       "      <td>206064</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.732250</td>\n",
       "      <td>-73.924513</td>\n",
       "      <td>(40.73225000573841, -73.92451289173367)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111057</th>\n",
       "      <td>26437034</td>\n",
       "      <td>10/04/2013 12:06:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Noise</td>\n",
       "      <td>Noise: Jack Hammering (NC2)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10036</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WEST 48 STREET</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>05 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>988451</td>\n",
       "      <td>216208</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.760116</td>\n",
       "      <td>-73.984836</td>\n",
       "      <td>(40.76011648520396, -73.98483562074706)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111058</th>\n",
       "      <td>26426094</td>\n",
       "      <td>10/04/2013 12:05:12 AM</td>\n",
       "      <td>10/04/2013 01:08:29 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11237</td>\n",
       "      <td>211 KNICKERBOCKER AVENUE</td>\n",
       "      <td>KNICKERBOCKER AVENUE</td>\n",
       "      <td>JEFFERSON STREET</td>\n",
       "      <td>TROUTMAN STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:05:12 AM</td>\n",
       "      <td>10/04/2013 01:08:29 AM</td>\n",
       "      <td>04 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1004672</td>\n",
       "      <td>195540</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.703365</td>\n",
       "      <td>-73.926345</td>\n",
       "      <td>(40.703365329011284, -73.92634531031759)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111059</th>\n",
       "      <td>26429040</td>\n",
       "      <td>10/04/2013 12:04:52 AM</td>\n",
       "      <td>10/04/2013 03:01:04 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10003</td>\n",
       "      <td>99 2 AVENUE</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>EAST 5 STREET</td>\n",
       "      <td>EAST 6 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:04:52 AM</td>\n",
       "      <td>10/04/2013 03:01:04 AM</td>\n",
       "      <td>03 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>987393</td>\n",
       "      <td>204234</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.727251</td>\n",
       "      <td>-73.988660</td>\n",
       "      <td>(40.727251287038676, -73.98866028603422)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111060</th>\n",
       "      <td>26434084</td>\n",
       "      <td>10/04/2013 12:04:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Noise</td>\n",
       "      <td>Noise: Construction Before/After Hours (NM1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10036</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8 AVENUE</td>\n",
       "      <td>WEST 47 STREET</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Open</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>04 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>987720</td>\n",
       "      <td>216313</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.760405</td>\n",
       "      <td>-73.987474</td>\n",
       "      <td>(40.76040500039782, -73.98747426235285)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111061</th>\n",
       "      <td>26426164</td>\n",
       "      <td>10/04/2013 12:03:00 AM</td>\n",
       "      <td>10/04/2013 02:14:57 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11106</td>\n",
       "      <td>30-09 BROADWAY</td>\n",
       "      <td>BROADWAY</td>\n",
       "      <td>30 STREET</td>\n",
       "      <td>31 STREET</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>ASTORIA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:03:00 AM</td>\n",
       "      <td>10/04/2013 02:14:57 AM</td>\n",
       "      <td>01 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1004746</td>\n",
       "      <td>217004</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.762279</td>\n",
       "      <td>-73.926013</td>\n",
       "      <td>(40.762278541098084, -73.92601303458156)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111062</th>\n",
       "      <td>26439710</td>\n",
       "      <td>10/04/2013 12:03:00 AM</td>\n",
       "      <td>10/04/2013 12:03:00 AM</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Water System</td>\n",
       "      <td>Dirty Water (WE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10022</td>\n",
       "      <td>325 EAST 54 STREET</td>\n",
       "      <td>EAST 54 STREET</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>1 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/04/2013 12:03:00 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>993688</td>\n",
       "      <td>215099</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.757069</td>\n",
       "      <td>-73.965933</td>\n",
       "      <td>(40.75706852462872, -73.96593314322774)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111063</th>\n",
       "      <td>26435569</td>\n",
       "      <td>10/04/2013 12:02:00 AM</td>\n",
       "      <td>10/04/2013 01:10:00 AM</td>\n",
       "      <td>DEP</td>\n",
       "      <td>Department of Environmental Protection</td>\n",
       "      <td>Water System</td>\n",
       "      <td>Dirty Water (WE)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10022</td>\n",
       "      <td>311 EAST 50 STREET</td>\n",
       "      <td>EAST 50 STREET</td>\n",
       "      <td>2 AVENUE</td>\n",
       "      <td>1 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/04/2013 01:10:00 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>993118</td>\n",
       "      <td>214222</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.754662</td>\n",
       "      <td>-73.967992</td>\n",
       "      <td>(40.75466197318078, -73.96799173864807)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111064</th>\n",
       "      <td>26426013</td>\n",
       "      <td>10/04/2013 12:01:13 AM</td>\n",
       "      <td>10/07/2013 04:07:16 PM</td>\n",
       "      <td>DPR</td>\n",
       "      <td>Department of Parks and Recreation</td>\n",
       "      <td>Maintenance or Facility</td>\n",
       "      <td>Structure - Outdoors</td>\n",
       "      <td>Park</td>\n",
       "      <td>11213</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>NaN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/18/2013 12:01:13 AM</td>\n",
       "      <td>10/07/2013 04:07:16 PM</td>\n",
       "      <td>08 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Brower Park</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Brower Park</td>\n",
       "      <td>B012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7189658900</td>\n",
       "      <td>Brooklyn, St. Marks, Kingston Avenues, Park Place</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NY</td>\n",
       "      <td>11213</td>\n",
       "      <td>N</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>NaN</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>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111065</th>\n",
       "      <td>26428083</td>\n",
       "      <td>10/04/2013 12:01:05 AM</td>\n",
       "      <td>10/04/2013 02:13:50 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11434</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>GUY R BREWER BOULEVARD</td>\n",
       "      <td>ROCKAWAY BOULEVARD</td>\n",
       "      <td>INTERSECTION</td>\n",
       "      <td>JAMAICA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:01:05 AM</td>\n",
       "      <td>10/04/2013 02:13:50 AM</td>\n",
       "      <td>13 QUEENS</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>1048801</td>\n",
       "      <td>178419</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>QUEENS</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.656160</td>\n",
       "      <td>-73.767353</td>\n",
       "      <td>(40.656160351546845, -73.76735262738222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111066</th>\n",
       "      <td>26428987</td>\n",
       "      <td>10/04/2013 12:00:45 AM</td>\n",
       "      <td>10/04/2013 01:25:01 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10016</td>\n",
       "      <td>344 EAST 28 STREET</td>\n",
       "      <td>EAST 28 STREET</td>\n",
       "      <td>MOUNT CARMEL PLACE</td>\n",
       "      <td>1 AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>NEW YORK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:00:45 AM</td>\n",
       "      <td>10/04/2013 01:25:01 AM</td>\n",
       "      <td>06 MANHATTAN</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>990637</td>\n",
       "      <td>208987</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>MANHATTAN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.740295</td>\n",
       "      <td>-73.976952</td>\n",
       "      <td>(40.740295354643706, -73.97695165980414)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111067</th>\n",
       "      <td>26426115</td>\n",
       "      <td>10/04/2013 12:00:28 AM</td>\n",
       "      <td>10/04/2013 04:17:32 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11226</td>\n",
       "      <td>1233 FLATBUSH AVENUE</td>\n",
       "      <td>FLATBUSH AVENUE</td>\n",
       "      <td>AVENUE D</td>\n",
       "      <td>NEWKIRK AVENUE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:00:28 AM</td>\n",
       "      <td>10/04/2013 04:17:32 AM</td>\n",
       "      <td>14 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>996654</td>\n",
       "      <td>172515</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.640182</td>\n",
       "      <td>-73.955306</td>\n",
       "      <td>(40.64018174662485, -73.95530566958138)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111068</th>\n",
       "      <td>26428033</td>\n",
       "      <td>10/04/2013 12:00:10 AM</td>\n",
       "      <td>10/04/2013 01:20:52 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>Partial Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>1259 EAST 94 STREET</td>\n",
       "      <td>EAST 94 STREET</td>\n",
       "      <td>AVENUE J</td>\n",
       "      <td>AVENUE K</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ADDRESS</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Precinct</td>\n",
       "      <td>Closed</td>\n",
       "      <td>10/04/2013 08:00:10 AM</td>\n",
       "      <td>10/04/2013 01:20:52 AM</td>\n",
       "      <td>18 BROOKLYN</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>1011804</td>\n",
       "      <td>172470</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>BROOKLYN</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>Unspecified</td>\n",
       "      <td>N</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.640024</td>\n",
       "      <td>-73.900717</td>\n",
       "      <td>(40.640024057399216, -73.90071711703163)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111069 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unique Key            Created Date             Closed Date Agency                              Agency Name            Complaint Type                                    Descriptor                  Location Type Incident Zip           Incident Address           Street Name      Cross Street 1                    Cross Street 2   Intersection Street 1 Intersection Street 2  Address Type                 City Landmark Facility Type    Status                Due Date Resolution Action Updated Date       Community Board        Borough  X Coordinate (State Plane)  Y Coordinate (State Plane) Park Facility Name   Park Borough  School Name School Number School Region  School Code School Phone Number                                     School Address  School City School State   School Zip School Not Found  School or Citywide Complaint Vehicle Type Taxi Company Borough Taxi Pick Up Location Bridge Highway Name Bridge Highway Direction Road Ramp Bridge Highway Segment Garage Lot Name Ferry Direction Ferry Terminal Name   Latitude  Longitude                                  Location\n",
       "0         26589651  10/31/2013 02:08:41 AM                     NaN   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        11432           90-03 169 STREET            169 STREET           90 AVENUE                         91 AVENUE                     NaN                   NaN       ADDRESS              JAMAICA      NaN      Precinct  Assigned  10/31/2013 10:08:41 AM         10/31/2013 02:35:17 AM             12 QUEENS         QUEENS                     1042027                      197389        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.708275 -73.791604   (40.70827532593202, -73.79160395779721)\n",
       "1         26593698  10/31/2013 02:01:04 AM                     NaN   NYPD          New York City Police Department           Illegal Parking                  Commercial Overnight Parking                Street/Sidewalk        11378                  58 AVENUE             58 AVENUE            58 PLACE                         59 STREET                     NaN                   NaN     BLOCKFACE              MASPETH      NaN      Precinct      Open  10/31/2013 10:01:04 AM                            NaN             05 QUEENS         QUEENS                     1009349                      201984        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.721041 -73.909453  (40.721040535628305, -73.90945306791765)\n",
       "2         26594139  10/31/2013 02:00:24 AM  10/31/2013 02:40:32 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        10032              4060 BROADWAY              BROADWAY     WEST 171 STREET                   WEST 172 STREET                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/31/2013 10:00:24 AM         10/31/2013 02:39:42 AM          12 MANHATTAN      MANHATTAN                     1001088                      246531        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.843330 -73.939144   (40.84332975466513, -73.93914371913482)\n",
       "3         26595721  10/31/2013 01:56:23 AM  10/31/2013 02:21:48 AM   NYPD          New York City Police Department           Noise - Vehicle                                Car/Truck Horn                Street/Sidewalk        10023             WEST 72 STREET        WEST 72 STREET     COLUMBUS AVENUE                  AMSTERDAM AVENUE                     NaN                   NaN     BLOCKFACE             NEW YORK      NaN      Precinct    Closed  10/31/2013 09:56:23 AM         10/31/2013 02:21:10 AM          07 MANHATTAN      MANHATTAN                      989730                      222727        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.778009 -73.980213    (40.7780087446372, -73.98021349023975)\n",
       "4         26590930  10/31/2013 01:53:44 AM                     NaN  DOHMH  Department of Health and Mental Hygiene                    Rodent                  Condition Attracting Rodents                     Vacant Lot        10027            WEST 124 STREET       WEST 124 STREET        LENOX AVENUE  ADAM CLAYTON POWELL JR BOULEVARD                     NaN                   NaN     BLOCKFACE             NEW YORK      NaN           NaN   Pending  11/30/2013 01:53:44 AM         10/31/2013 01:59:54 AM          10 MANHATTAN      MANHATTAN                      998815                      233545        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.807691 -73.947387   (40.80769092704951, -73.94738703491433)\n",
       "5         26592370  10/31/2013 01:46:52 AM                     NaN   NYPD          New York City Police Department        Noise - Commercial                              Banging/Pounding            Club/Bar/Restaurant        11372                  37 AVENUE             37 AVENUE           84 STREET                         85 STREET                     NaN                   NaN     BLOCKFACE      JACKSON HEIGHTS      NaN      Precinct      Open  10/31/2013 09:46:52 AM                            NaN             03 QUEENS         QUEENS                     1016948                      212540        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.749989 -73.881988    (40.7499893014072, -73.88198770727831)\n",
       "6         26595682  10/31/2013 01:46:40 AM                     NaN   NYPD          New York City Police Department          Blocked Driveway                                     No Access                Street/Sidewalk        11419          107-50 109 STREET            109 STREET          107 AVENUE                        109 AVENUE                     NaN                   NaN       ADDRESS  SOUTH RICHMOND HILL      NaN      Precinct  Assigned  10/31/2013 09:46:40 AM         10/31/2013 01:59:51 AM             10 QUEENS         QUEENS                     1030919                      187622        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.681533 -73.831737   (40.68153278675525, -73.83173699701601)\n",
       "7         26595195  10/31/2013 01:44:19 AM  10/31/2013 01:58:49 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11417  137-09 CROSSBAY BOULEVARD    CROSSBAY BOULEVARD       PITKIN AVENUE                  VAN WICKLEN ROAD                     NaN                   NaN       ADDRESS           OZONE PARK      NaN      Precinct    Closed  10/31/2013 09:44:19 AM         10/31/2013 01:58:49 AM             10 QUEENS         QUEENS                     1027776                      184076        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.671816 -73.843092   (40.67181584567338, -73.84309181950769)\n",
       "8         26590540  10/31/2013 01:44:14 AM  10/31/2013 02:28:04 AM   NYPD          New York City Police Department        Noise - Commercial                                  Loud Talking            Club/Bar/Restaurant        10011         258 WEST 15 STREET        WEST 15 STREET            7 AVENUE                          8 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/31/2013 09:44:14 AM         10/31/2013 02:00:56 AM          04 MANHATTAN      MANHATTAN                      984031                      208847        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.739913 -74.000790   (40.73991339303542, -74.00079028612932)\n",
       "9         26594392  10/31/2013 01:34:41 AM  10/31/2013 02:23:51 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11225        835 NOSTRAND AVENUE       NOSTRAND AVENUE        UNION STREET                  PRESIDENT STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/31/2013 09:34:41 AM         10/31/2013 01:48:26 AM           09 BROOKLYN       BROOKLYN                      997941                      182725        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.668204 -73.950648   (40.66820406598287, -73.95064760056546)\n",
       "10        26595176  10/31/2013 01:25:12 AM                     NaN   NYPD          New York City Police Department  Noise - House of Worship                              Loud Music/Party               House of Worship        11218             3775 18 AVENUE             18 AVENUE       EAST 9 STREET                     EAST 8 STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct      Open  10/31/2013 09:25:12 AM                            NaN           14 BROOKLYN       BROOKLYN                      992726                      170399        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.634378 -73.969462   (40.63437840816299, -73.96946177104543)\n",
       "11        26591982  10/31/2013 01:24:14 AM  10/31/2013 01:54:39 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        10003               187 2 AVENUE              2 AVENUE      EAST 11 STREET                    EAST 12 STREET                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/31/2013 09:24:14 AM         10/31/2013 01:54:39 AM          03 MANHATTAN      MANHATTAN                      988110                      205533        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.730816 -73.986073   (40.73081644089586, -73.98607265739876)\n",
       "12        26594169  10/31/2013 01:20:57 AM  10/31/2013 02:12:31 AM   NYPD          New York City Police Department           Illegal Parking                Double Parked Blocking Vehicle                Street/Sidewalk        10029          65 EAST 99 STREET        EAST 99 STREET      MADISON AVENUE                       PARK AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/31/2013 09:20:57 AM         10/31/2013 01:42:05 AM          11 MANHATTAN      MANHATTAN                      997470                      226725        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.788974 -73.952259   (40.78897400211689, -73.95225898702977)\n",
       "13        26594391  10/31/2013 01:20:13 AM                     NaN   NYPD          New York City Police Department           Noise - Vehicle                                 Engine Idling                Street/Sidewalk        10466                        NaN                   NaN                 NaN                               NaN           STRANG AVENUE       AMUNDSON AVENUE  INTERSECTION                BRONX      NaN      Precinct      Open  10/31/2013 09:20:13 AM                            NaN              12 BRONX          BRONX                     1029467                      264124        Unspecified          BRONX  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.891517 -73.836457   (40.89151738488846, -73.83645714593568)\n",
       "14        26590917  10/31/2013 01:19:54 AM                     NaN  DOHMH  Department of Health and Mental Hygiene                    Rodent                                  Rat Sighting  1-2 Family Mixed Use Building        11219                  63 STREET             63 STREET           13 AVENUE                         14 AVENUE                     NaN                   NaN     BLOCKFACE             BROOKLYN      NaN           NaN   Pending  11/30/2013 01:19:54 AM         10/31/2013 01:29:26 AM           10 BROOKLYN       BROOKLYN                      984467                      167519        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.626477 -73.999218    (40.6264774690411, -73.99921826202639)\n",
       "15        26591458  10/31/2013 01:14:02 AM  10/31/2013 01:30:34 AM   NYPD          New York City Police Department  Noise - House of Worship                              Loud Music/Party               House of Worship        10025                        NaN                   NaN                 NaN                               NaN        WEST   99 STREET              BROADWAY  INTERSECTION             NEW YORK      NaN      Precinct    Closed  10/31/2013 09:14:02 AM         10/31/2013 01:30:34 AM          07 MANHATTAN      MANHATTAN                      992454                      229500        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.796597 -73.970370    (40.7965967075252, -73.97036973473399)\n",
       "16        26594086  10/31/2013 12:54:03 AM  10/31/2013 02:16:39 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                              Loud Music/Party                Street/Sidewalk        10310        173 CAMPBELL AVENUE       CAMPBELL AVENUE    HENDERSON AVENUE                      WINEGAR LANE                     NaN                   NaN       ADDRESS        STATEN ISLAND      NaN      Precinct    Closed  10/31/2013 08:54:03 AM         10/31/2013 02:07:14 AM      01 STATEN ISLAND  STATEN ISLAND                      952013                      171076        Unspecified  STATEN ISLAND  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.636182 -74.116150    (40.63618202176914, -74.1161500428337)\n",
       "17        26595117  10/31/2013 12:52:46 AM                     NaN   NYPD          New York City Police Department           Illegal Parking                 Posted Parking Sign Violation                Street/Sidewalk        11236                        NaN                   NaN                 NaN                               NaN        ROCKAWAY PARKWAY       SKIDMORE AVENUE  INTERSECTION             BROOKLYN      NaN      Precinct      Open  10/31/2013 08:52:46 AM                            NaN           18 BROOKLYN       BROOKLYN                     1015289                      169710        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.632437 -73.888173   (40.63243692394328, -73.88817263437012)\n",
       "18        26590389  10/31/2013 12:51:00 AM                     NaN    DOT             Department of Transportation    Street Light Condition                              Street Light Out                            NaN          NaN                226 42 ST E               42 ST E          CHURCH AVE                        SNYDER AVE                     NaN                   NaN       ADDRESS                  NaN      NaN           NaN      Open                     NaN                            NaN  Unspecified BROOKLYN       BROOKLYN                         NaN                         NaN        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN        NaN        NaN                                       NaN\n",
       "19        26594210  10/31/2013 12:46:27 AM                     NaN   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        10033                        NaN                   NaN                 NaN                               NaN        WEST  184 STREET              BROADWAY  INTERSECTION             NEW YORK      NaN      Precinct  Assigned  10/31/2013 08:46:27 AM         10/31/2013 01:32:41 AM          12 MANHATTAN      MANHATTAN                     1002294                      249712        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.852058 -73.934776   (40.85205827756883, -73.93477640780834)\n",
       "20        26592932  10/31/2013 12:43:47 AM  10/31/2013 12:56:20 AM   NYPD          New York City Police Department  Noise - House of Worship                              Loud Music/Party               House of Worship        11216             778 PARK PLACE            PARK PLACE       ROGERS AVENUE                   NOSTRAND AVENUE                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/31/2013 08:43:47 AM         10/31/2013 12:56:20 AM           08 BROOKLYN       BROOKLYN                      997608                      184656        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.673505 -73.951844   (40.67350473678714, -73.95184414979961)\n",
       "21        26594152  10/31/2013 12:41:17 AM  10/31/2013 01:04:37 AM   NYPD          New York City Police Department        Noise - Commercial                              Banging/Pounding               Store/Commercial        10016              155 E 34TH ST             E 34TH ST                 NaN                               NaN                     NaN                   NaN       LATLONG             NEW YORK      NaN      Precinct    Closed  10/31/2013 08:41:17 AM         10/31/2013 01:04:38 AM          06 MANHATTAN      MANHATTAN                      990133                      211136        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.746194 -73.978769   (40.74619417253121, -73.97876853124392)\n",
       "22        26589678  10/31/2013 12:39:55 AM                     NaN   NYPD          New York City Police Department           Noise - Vehicle                               Car/Truck Music                Street/Sidewalk        11419                        NaN                   NaN                 NaN                               NaN              112 STREET       ATLANTIC AVENUE  INTERSECTION  SOUTH RICHMOND HILL      NaN      Precinct      Open  10/31/2013 08:39:55 AM                            NaN             09 QUEENS         QUEENS                     1030314                      191578        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.692394 -73.833891    (40.69239424979043, -73.8338912453996)\n",
       "23        26592304  10/31/2013 12:38:00 AM                     NaN   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11216        371 TOMPKINS AVENUE       TOMPKINS AVENUE      MADISON STREET                     PUTNAM AVENUE                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct  Assigned  10/31/2013 08:38:00 AM         10/31/2013 01:16:53 AM           03 BROOKLYN       BROOKLYN                      999720                      188825        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.684944 -73.944221    (40.6849442562592, -73.94422078036632)\n",
       "24        26591892  10/31/2013 12:37:16 AM                     NaN   NYPD          New York City Police Department          Blocked Driveway                                Partial Access                Street/Sidewalk        10305            1496 BAY STREET            BAY STREET        LYMAN AVENUE                       SCHOOL ROAD                     NaN                   NaN       ADDRESS        STATEN ISLAND      NaN      Precinct  Assigned  10/31/2013 08:37:16 AM         10/31/2013 12:52:10 AM      01 STATEN ISLAND  STATEN ISLAND                      967283                      160518        Unspecified  STATEN ISLAND  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.607245 -74.061106   (40.60724493456944, -74.06110566015863)\n",
       "25        26591573  10/31/2013 12:35:18 AM  10/31/2013 02:41:35 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10312          24 PRINCETON LANE        PRINCETON LANE       HAMPTON GREEN                          DEAD END                     NaN                   NaN       ADDRESS        STATEN ISLAND      NaN      Precinct    Closed  10/31/2013 08:35:18 AM         10/31/2013 01:45:17 AM      03 STATEN ISLAND  STATEN ISLAND                      929577                      140964        Unspecified  STATEN ISLAND  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.553421 -74.196743   (40.55342078716953, -74.19674315017886)\n",
       "26        26590509  10/31/2013 12:33:00 AM                     NaN    DOT             Department of Transportation    Street Light Condition                              Street Light Out                            NaN          NaN                    38 ST E               38 ST E          CHURCH AVE                       LINDEN BLVD                     NaN                   NaN     BLOCKFACE                  NaN      NaN           NaN      Open                     NaN                            NaN  Unspecified BROOKLYN       BROOKLYN                         NaN                         NaN        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN        NaN        NaN                                       NaN\n",
       "27        26591379  10/31/2013 12:32:44 AM                     NaN  DOHMH  Department of Health and Mental Hygiene      Harboring Bees/Wasps                   Bees/Wasps - Not a beekeper   3+ Family Mixed Use Building        10025        501 WEST 110 STREET       WEST 110 STREET    AMSTERDAM AVENUE                          BROADWAY                     NaN                   NaN       ADDRESS             NEW YORK      NaN           NaN      Open  11/30/2013 12:32:44 AM                            NaN          09 MANHATTAN      MANHATTAN                      994143                      231888        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.803149 -73.964266   (40.80314938553783, -73.96426608076082)\n",
       "28        26594085  10/31/2013 12:32:08 AM                     NaN   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10026        121 WEST 116 STREET       WEST 116 STREET        LENOX AVENUE                          7 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct  Assigned  10/31/2013 08:32:08 AM         10/31/2013 02:00:57 AM          10 MANHATTAN      MANHATTAN                      997947                      231613        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.802390 -73.950526   (40.80238950799943, -73.95052644123253)\n",
       "29        26589201  10/31/2013 12:32:00 AM                     NaN    DOT             Department of Transportation    Street Light Condition                              Street Light Out                            NaN        10309         295 BAYVIEW AVENUE        BAYVIEW AVENUE         VAIL AVENUE                      BAYVIEW LANE                     NaN                   NaN       ADDRESS        STATEN ISLAND      NaN           NaN      Open                     NaN                            NaN      03 STATEN ISLAND  STATEN ISLAND                      927687                      127837        Unspecified  STATEN ISLAND  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.517378 -74.203435  (40.517377871705676, -74.20343466779575)\n",
       "...            ...                     ...                     ...    ...                                      ...                       ...                                           ...                            ...          ...                        ...                   ...                 ...                               ...                     ...                   ...           ...                  ...      ...           ...       ...                     ...                            ...                   ...            ...                         ...                         ...                ...            ...          ...           ...           ...          ...                 ...                                                ...          ...          ...          ...              ...                           ...          ...                  ...                   ...                 ...                      ...       ...                    ...             ...             ...                 ...        ...        ...                                       ...\n",
       "111039    26428764  10/04/2013 12:17:03 AM  10/04/2013 12:38:37 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        10022         249 EAST 53 STREET        EAST 53 STREET            3 AVENUE                          2 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:17:03 AM         10/04/2013 12:38:37 AM          06 MANHATTAN      MANHATTAN                      993036                      215164        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.757248 -73.968286  (40.757247604963055, -73.96828647941395)\n",
       "111040    26426166  10/04/2013 12:16:22 AM  10/04/2013 05:50:49 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party               Store/Commercial        10029        252 EAST 110 STREET       EAST 110 STREET            3 AVENUE                          2 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:16:22 AM         10/04/2013 05:50:49 AM          11 MANHATTAN      MANHATTAN                     1000407                      228425        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.793635 -73.941649   (40.79363516179995, -73.94164859515777)\n",
       "111041    26438565  10/04/2013 12:16:00 AM                     NaN    DEP   Department of Environmental Protection                     Noise  Noise: Construction Before/After Hours (NM1)                            NaN        11231       480 VAN BRUNT STREET      VAN BRUNT STREET         REED STREET                          DEAD END                     NaN                   NaN       ADDRESS             BROOKLYN      NaN           NaN      Open                     NaN                            NaN           06 BROOKLYN       BROOKLYN                      979657                      184924        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.674249 -74.016558    (40.6742492231181, -74.01655803856313)\n",
       "111042    26428990  10/04/2013 12:15:52 AM  10/04/2013 12:44:52 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10014      733 WASHINGTON STREET     WASHINGTON STREET         BANK STREET                    BETHUNE STREET                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:15:52 AM         10/04/2013 12:44:52 AM          02 MANHATTAN      MANHATTAN                      981950                      207532        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.736304 -74.008299  (40.736303747410034, -74.00829935904578)\n",
       "111043    26432659  10/04/2013 12:15:46 AM  10/04/2013 04:18:45 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11218        1213 CORTELYOU ROAD        CORTELYOU ROAD      EAST 12 STREET                    EAST 13 STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:15:46 AM         10/04/2013 04:18:45 AM           14 BROOKLYN       BROOKLYN                      993451                      172498        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.640139 -73.966847   (40.64013899178716, -73.96684680242933)\n",
       "111044    26426096  10/04/2013 12:14:09 AM  10/04/2013 01:03:46 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10032        539 WEST 162 STREET       WEST 162 STREET  ST NICHOLAS AVENUE                          BROADWAY                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:14:09 AM         10/04/2013 01:03:46 AM          12 MANHATTAN      MANHATTAN                     1000571                      244054        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.836532 -73.941018   (40.836532082987944, -73.9410182995914)\n",
       "111045    26437764  10/04/2013 12:14:00 AM  10/04/2013 12:14:00 AM    DEP   Department of Environmental Protection              Water System                              Dirty Water (WE)                            NaN        10022         251 EAST 51 STREET        EAST 51 STREET            3 AVENUE                          2 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN           NaN    Closed                     NaN         10/04/2013 12:14:00 AM          06 MANHATTAN      MANHATTAN                      992791                      214702        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.755980 -73.969171   (40.75597977288785, -73.96917140638074)\n",
       "111046    26436286  10/04/2013 12:14:00 AM                     NaN    DEP   Department of Environmental Protection                     Noise  Noise: Construction Before/After Hours (NM1)                            NaN        11231       480 VAN BRUNT STREET      VAN BRUNT STREET         REED STREET                          DEAD END                     NaN                   NaN       ADDRESS             BROOKLYN      NaN           NaN      Open                     NaN                            NaN           06 BROOKLYN       BROOKLYN                      979657                      184924        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.674249 -74.016558    (40.6742492231181, -74.01655803856313)\n",
       "111047    26428989  10/04/2013 12:13:08 AM  10/04/2013 02:12:47 AM   NYPD          New York City Police Department           Illegal Parking                 Posted Parking Sign Violation                Street/Sidewalk        11434                        NaN                   NaN                 NaN                               NaN  GUY R BREWER BOULEVARD    ROCKAWAY BOULEVARD  INTERSECTION              JAMAICA      NaN      Precinct    Closed  10/04/2013 08:13:08 AM         10/04/2013 02:12:47 AM             13 QUEENS         QUEENS                     1048801                      178419        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.656160 -73.767353  (40.656160351546845, -73.76735262738222)\n",
       "111048    26430030  10/04/2013 12:12:07 AM  10/04/2013 02:45:24 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10027      215 WEST 131ST STREET     WEST 131ST STREET                 NaN                               NaN                     NaN                   NaN       LATLONG             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:12:07 AM         10/04/2013 02:45:24 AM          01 MANHATTAN      MANHATTAN                      999107                      235603        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.813339 -73.946328   (40.81333907832113, -73.94632769228208)\n",
       "111049    26429663  10/04/2013 12:12:07 AM  10/04/2013 01:03:44 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11209              8915 5 AVENUE              5 AVENUE           89 STREET                         90 STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:12:07 AM         10/04/2013 01:03:44 AM           10 BROOKLYN       BROOKLYN                      976525                      165015        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.619601 -74.027826  (40.619601147364584, -74.02782628492785)\n",
       "111050    26437763  10/04/2013 12:11:00 AM                     NaN    DEP   Department of Environmental Protection                     Noise  Noise: Construction Before/After Hours (NM1)                            NaN        10028                        NaN                   NaN                 NaN                               NaN          EAST 84 STREET           YORK AVENUE  INTERSECTION             NEW YORK      NaN           NaN      Open                     NaN                            NaN          08 MANHATTAN      MANHATTAN                      998629                      221493        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.774612 -73.948085   (40.77461174278734, -73.94808472177321)\n",
       "111051    26432955  10/04/2013 12:08:15 AM  10/04/2013 12:48:02 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        10009         506 EAST 13 STREET        EAST 13 STREET            AVENUE A                          AVENUE B                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:08:15 AM         10/04/2013 12:48:03 AM          03 MANHATTAN      MANHATTAN                      989678                      205065        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.729531 -73.980416   (40.72953107218499, -73.98041550317102)\n",
       "111052    26437035  10/04/2013 12:08:00 AM  10/04/2013 12:13:00 AM    DEP   Department of Environmental Protection              Water System                              Dirty Water (WE)                            NaN        10022         325 EAST 54 STREET        EAST 54 STREET            2 AVENUE                          1 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN           NaN    Closed                     NaN         10/04/2013 12:13:00 AM          06 MANHATTAN      MANHATTAN                      993688                      215099        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.757069 -73.965933   (40.75706852462872, -73.96593314322774)\n",
       "111053    26433197  10/04/2013 12:08:00 AM  10/04/2013 12:00:00 PM   DSNY                        BCC - Queens East         Derelict Vehicles                          14 Derelict Vehicles                         Street        11413          220-11 145 AVENUE            145 AVENUE          221 STREET                        221 STREET                     NaN                   NaN       ADDRESS  Springfield Gardens      NaN   DSNY Garage   Pending                     NaN         10/04/2013 12:08:00 AM             13 QUEENS         QUEENS                     1051511                      181411        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.664353 -73.757556    (40.6643525308449, -73.75755575708348)\n",
       "111054    26426060  10/04/2013 12:06:39 AM  10/04/2013 12:31:16 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        11224       4823 BEACH 48 STREET       BEACH 48 STREET       BODY OF WATER                       SURF AVENUE                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:06:39 AM         10/04/2013 12:31:16 AM           13 BROOKLYN       BROOKLYN                      980859                      149681        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.577515 -74.012207   (40.57751513866536, -74.01220705163807)\n",
       "111055    26430628  10/04/2013 12:06:28 AM  10/04/2013 12:21:39 AM   NYPD          New York City Police Department        Noise - Commercial                                  Loud Talking            Club/Bar/Restaurant        11209              7915 3 AVENUE              3 AVENUE           79 STREET                         80 STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:06:28 AM         10/04/2013 12:21:39 AM           10 BROOKLYN       BROOKLYN                      976189                      168214        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.628381 -74.029040   (40.62838143294541, -74.02904041333245)\n",
       "111056    26431648  10/04/2013 12:06:26 AM  10/23/2013 08:14:52 AM    DOT             Department of Transportation     Street Sign - Missing                                      Bus Stop                         Street        11378                        NaN                   NaN                 NaN                               NaN               54 AVENUE             43 STREET  INTERSECTION              MASPETH      NaN           NaN    Closed  10/14/2013 09:38:47 AM         10/23/2013 08:14:52 AM             02 QUEENS         QUEENS                     1005171                      206064        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.732250 -73.924513   (40.73225000573841, -73.92451289173367)\n",
       "111057    26437034  10/04/2013 12:06:00 AM                     NaN    DEP   Department of Environmental Protection                     Noise                   Noise: Jack Hammering (NC2)                            NaN        10036                        NaN                   NaN                 NaN                               NaN          WEST 48 STREET              BROADWAY  INTERSECTION             NEW YORK      NaN           NaN      Open                     NaN                            NaN          05 MANHATTAN      MANHATTAN                      988451                      216208        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.760116 -73.984836   (40.76011648520396, -73.98483562074706)\n",
       "111058    26426094  10/04/2013 12:05:12 AM  10/04/2013 01:08:29 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11237   211 KNICKERBOCKER AVENUE  KNICKERBOCKER AVENUE    JEFFERSON STREET                   TROUTMAN STREET                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:05:12 AM         10/04/2013 01:08:29 AM           04 BROOKLYN       BROOKLYN                     1004672                      195540        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.703365 -73.926345  (40.703365329011284, -73.92634531031759)\n",
       "111059    26429040  10/04/2013 12:04:52 AM  10/04/2013 03:01:04 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10003                99 2 AVENUE              2 AVENUE       EAST 5 STREET                     EAST 6 STREET                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:04:52 AM         10/04/2013 03:01:04 AM          03 MANHATTAN      MANHATTAN                      987393                      204234        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.727251 -73.988660  (40.727251287038676, -73.98866028603422)\n",
       "111060    26434084  10/04/2013 12:04:00 AM                     NaN    DEP   Department of Environmental Protection                     Noise  Noise: Construction Before/After Hours (NM1)                            NaN        10036                        NaN                   NaN                 NaN                               NaN                8 AVENUE        WEST 47 STREET  INTERSECTION             NEW YORK      NaN           NaN      Open                     NaN                            NaN          04 MANHATTAN      MANHATTAN                      987720                      216313        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.760405 -73.987474   (40.76040500039782, -73.98747426235285)\n",
       "111061    26426164  10/04/2013 12:03:00 AM  10/04/2013 02:14:57 AM   NYPD          New York City Police Department        Noise - Commercial                              Loud Music/Party            Club/Bar/Restaurant        11106             30-09 BROADWAY              BROADWAY           30 STREET                         31 STREET                     NaN                   NaN       ADDRESS              ASTORIA      NaN      Precinct    Closed  10/04/2013 08:03:00 AM         10/04/2013 02:14:57 AM             01 QUEENS         QUEENS                     1004746                      217004        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.762279 -73.926013  (40.762278541098084, -73.92601303458156)\n",
       "111062    26439710  10/04/2013 12:03:00 AM  10/04/2013 12:03:00 AM    DEP   Department of Environmental Protection              Water System                              Dirty Water (WE)                            NaN        10022         325 EAST 54 STREET        EAST 54 STREET            2 AVENUE                          1 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN           NaN    Closed                     NaN         10/04/2013 12:03:00 AM          06 MANHATTAN      MANHATTAN                      993688                      215099        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.757069 -73.965933   (40.75706852462872, -73.96593314322774)\n",
       "111063    26435569  10/04/2013 12:02:00 AM  10/04/2013 01:10:00 AM    DEP   Department of Environmental Protection              Water System                              Dirty Water (WE)                            NaN        10022         311 EAST 50 STREET        EAST 50 STREET            2 AVENUE                          1 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN           NaN    Closed                     NaN         10/04/2013 01:10:00 AM          06 MANHATTAN      MANHATTAN                      993118                      214222        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified              NaN                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.754662 -73.967992   (40.75466197318078, -73.96799173864807)\n",
       "111064    26426013  10/04/2013 12:01:13 AM  10/07/2013 04:07:16 PM    DPR       Department of Parks and Recreation   Maintenance or Facility                          Structure - Outdoors                           Park        11213                        NaN                   NaN                 NaN                               NaN                     NaN                   NaN           NaN             BROOKLYN      NaN           NaN    Closed  10/18/2013 12:01:13 AM         10/07/2013 04:07:16 PM           08 BROOKLYN       BROOKLYN                         NaN                         NaN        Brower Park       BROOKLYN  Brower Park          B012           NaN          NaN          7189658900  Brooklyn, St. Marks, Kingston Avenues, Park Place     BROOKLYN           NY        11213                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN        NaN        NaN                                       NaN\n",
       "111065    26428083  10/04/2013 12:01:05 AM  10/04/2013 02:13:50 AM   NYPD          New York City Police Department           Illegal Parking                 Posted Parking Sign Violation                Street/Sidewalk        11434                        NaN                   NaN                 NaN                               NaN  GUY R BREWER BOULEVARD    ROCKAWAY BOULEVARD  INTERSECTION              JAMAICA      NaN      Precinct    Closed  10/04/2013 08:01:05 AM         10/04/2013 02:13:50 AM             13 QUEENS         QUEENS                     1048801                      178419        Unspecified         QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.656160 -73.767353  (40.656160351546845, -73.76735262738222)\n",
       "111066    26428987  10/04/2013 12:00:45 AM  10/04/2013 01:25:01 AM   NYPD          New York City Police Department   Noise - Street/Sidewalk                                  Loud Talking                Street/Sidewalk        10016         344 EAST 28 STREET        EAST 28 STREET  MOUNT CARMEL PLACE                          1 AVENUE                     NaN                   NaN       ADDRESS             NEW YORK      NaN      Precinct    Closed  10/04/2013 08:00:45 AM         10/04/2013 01:25:01 AM          06 MANHATTAN      MANHATTAN                      990637                      208987        Unspecified      MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.740295 -73.976952  (40.740295354643706, -73.97695165980414)\n",
       "111067    26426115  10/04/2013 12:00:28 AM  10/04/2013 04:17:32 AM   NYPD          New York City Police Department        Noise - Commercial                                  Loud Talking            Club/Bar/Restaurant        11226       1233 FLATBUSH AVENUE       FLATBUSH AVENUE            AVENUE D                    NEWKIRK AVENUE                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:00:28 AM         10/04/2013 04:17:32 AM           14 BROOKLYN       BROOKLYN                      996654                      172515        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.640182 -73.955306   (40.64018174662485, -73.95530566958138)\n",
       "111068    26428033  10/04/2013 12:00:10 AM  10/04/2013 01:20:52 AM   NYPD          New York City Police Department          Blocked Driveway                                Partial Access                Street/Sidewalk        11236        1259 EAST 94 STREET        EAST 94 STREET            AVENUE J                          AVENUE K                     NaN                   NaN       ADDRESS             BROOKLYN      NaN      Precinct    Closed  10/04/2013 08:00:10 AM         10/04/2013 01:20:52 AM           18 BROOKLYN       BROOKLYN                     1011804                      172470        Unspecified       BROOKLYN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified                                        Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.640024 -73.900717  (40.640024057399216, -73.90071711703163)\n",
       "\n",
       "[111069 rows x 52 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K-4cvYzaACZp"
   },
   "source": [
    "# 2.2 Selecting columns and rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "F59rDdYJACZp"
   },
   "source": [
    "To select a column, we index with the name of the column, like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "CFPHNkwKACZq",
    "outputId": "87c8a741-11d7-4be5-ff0a-bd0358ebc82d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      Noise - Street/Sidewalk\n",
       "1              Illegal Parking\n",
       "2           Noise - Commercial\n",
       "3              Noise - Vehicle\n",
       "4                       Rodent\n",
       "5           Noise - Commercial\n",
       "6             Blocked Driveway\n",
       "7           Noise - Commercial\n",
       "8           Noise - Commercial\n",
       "9           Noise - Commercial\n",
       "10    Noise - House of Worship\n",
       "11          Noise - Commercial\n",
       "12             Illegal Parking\n",
       "13             Noise - Vehicle\n",
       "14                      Rodent\n",
       "...\n",
       "111054    Noise - Street/Sidewalk\n",
       "111055         Noise - Commercial\n",
       "111056      Street Sign - Missing\n",
       "111057                      Noise\n",
       "111058         Noise - Commercial\n",
       "111059    Noise - Street/Sidewalk\n",
       "111060                      Noise\n",
       "111061         Noise - Commercial\n",
       "111062               Water System\n",
       "111063               Water System\n",
       "111064    Maintenance or Facility\n",
       "111065            Illegal Parking\n",
       "111066    Noise - Street/Sidewalk\n",
       "111067         Noise - Commercial\n",
       "111068           Blocked Driveway\n",
       "Name: Complaint Type, Length: 111069, dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints['Complaint Type']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pwhzRhCrACZr"
   },
   "source": [
    "To get the first 5 rows of a dataframe, we can use a slice: `df[:5]`.\n",
    "\n",
    "This is a great way to get a sense for what kind of information is in the dataframe -- take a minute to look at the contents and get a feel for this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "e31qGYaYACZr",
    "outputId": "325dd6b3-db16-44c2-cd67-a317c4431b85"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "1     True\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5    False\n",
       "6    False\n",
       "7    False\n",
       "8    False\n",
       "9    False\n",
       "Name: Complaint Type, dtype: bool"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "il_ser = complaints['Complaint Type'] == 'Illegal Parking'\n",
    "il_ser[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "2mlBGkRQACZu"
   },
   "outputs": [],
   "source": [
    "nypd_df = complaints[complaints['Agency'] == 'NYPD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "uCahIRTYACZv",
    "outputId": "a2870ebc-bbaa-47dd-dc1a-0f1425710e05"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1     True\n",
       "2     True\n",
       "3     True\n",
       "4    False\n",
       "5     True\n",
       "6     True\n",
       "7     True\n",
       "8     True\n",
       "9     True\n",
       "Name: Agency, dtype: bool"
      ]
     },
     "execution_count": 26,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(complaints['Agency'] == 'NYPD')[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WJedEo4iACZy"
   },
   "outputs": [],
   "source": [
    "il_df = complaints[(complaints['Agency'] == 'NYPD') &  (complaints['Complaint Type'] == 'Illegal Parking')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "83DWkwynACZz",
    "outputId": "ea4b0c19-ddf1-40c1-a8b4-88b0803ceb02"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3343, 15295)"
      ]
     },
     "execution_count": 33,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(len(il_df), len(nypd_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qNkVW0DyACZ0",
    "outputId": "bdcde7ee-54d4-4e30-ff74-8cc5a8d58b72"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unique Key</th>\n",
       "      <th>Created Date</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>Agency</th>\n",
       "      <th>Agency Name</th>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Descriptor</th>\n",
       "      <th>Location Type</th>\n",
       "      <th>Incident Zip</th>\n",
       "      <th>Incident Address</th>\n",
       "      <th>Street Name</th>\n",
       "      <th>Cross Street 1</th>\n",
       "      <th>Cross Street 2</th>\n",
       "      <th>Intersection Street 1</th>\n",
       "      <th>Intersection Street 2</th>\n",
       "      <th>Address Type</th>\n",
       "      <th>City</th>\n",
       "      <th>Landmark</th>\n",
       "      <th>Facility Type</th>\n",
       "      <th>Status</th>\n",
       "      <th>Due Date</th>\n",
       "      <th>Resolution Action Updated Date</th>\n",
       "      <th>Community Board</th>\n",
       "      <th>Borough</th>\n",
       "      <th>X Coordinate (State Plane)</th>\n",
       "      <th>Y Coordinate (State Plane)</th>\n",
       "      <th>Park Facility Name</th>\n",
       "      <th>Park Borough</th>\n",
       "      <th>School Name</th>\n",
       "      <th>School Number</th>\n",
       "      <th>School Region</th>\n",
       "      <th>School Code</th>\n",
       "      <th>School Phone Number</th>\n",
       "      <th>School Address</th>\n",
       "      <th>School City</th>\n",
       "      <th>School State</th>\n",
       "      <th>School Zip</th>\n",
       "      <th>School Not Found</th>\n",
       "      <th>School or Citywide Complaint</th>\n",
       "      <th>Vehicle Type</th>\n",
       "      <th>Taxi Company Borough</th>\n",
       "      <th>Taxi Pick Up Location</th>\n",
       "      <th>Bridge Highway Name</th>\n",
       "      <th>Bridge Highway Direction</th>\n",
       "      <th>Road Ramp</th>\n",
       "      <th>Bridge Highway Segment</th>\n",
       "      <th>Garage Lot Name</th>\n",
       "      <th>Ferry Direction</th>\n",
       "      <th>Ferry Terminal Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td> 26589651</td>\n",
       "      <td> 10/31/2013 02:08:41 AM</td>\n",
       "      <td>                    NaN</td>\n",
       "      <td>  NYPD</td>\n",
       "      <td>         New York City Police Department</td>\n",
       "      <td> Noise - Street/Sidewalk</td>\n",
       "      <td>                 Loud Talking</td>\n",
       "      <td>     Street/Sidewalk</td>\n",
       "      <td> 11432</td>\n",
       "      <td> 90-03 169 STREET</td>\n",
       "      <td>      169 STREET</td>\n",
       "      <td>       90 AVENUE</td>\n",
       "      <td>                        91 AVENUE</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td>   ADDRESS</td>\n",
       "      <td>  JAMAICA</td>\n",
       "      <td> NaN</td>\n",
       "      <td> Precinct</td>\n",
       "      <td> Assigned</td>\n",
       "      <td> 10/31/2013 10:08:41 AM</td>\n",
       "      <td> 10/31/2013 02:35:17 AM</td>\n",
       "      <td>    12 QUEENS</td>\n",
       "      <td>    QUEENS</td>\n",
       "      <td> 1042027</td>\n",
       "      <td> 197389</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td>    QUEENS</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> N</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> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> 40.708275</td>\n",
       "      <td>-73.791604</td>\n",
       "      <td>  (40.70827532593202, -73.79160395779721)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td> 26593698</td>\n",
       "      <td> 10/31/2013 02:01:04 AM</td>\n",
       "      <td>                    NaN</td>\n",
       "      <td>  NYPD</td>\n",
       "      <td>         New York City Police Department</td>\n",
       "      <td>         Illegal Parking</td>\n",
       "      <td> Commercial Overnight Parking</td>\n",
       "      <td>     Street/Sidewalk</td>\n",
       "      <td> 11378</td>\n",
       "      <td>        58 AVENUE</td>\n",
       "      <td>       58 AVENUE</td>\n",
       "      <td>        58 PLACE</td>\n",
       "      <td>                        59 STREET</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> BLOCKFACE</td>\n",
       "      <td>  MASPETH</td>\n",
       "      <td> NaN</td>\n",
       "      <td> Precinct</td>\n",
       "      <td>     Open</td>\n",
       "      <td> 10/31/2013 10:01:04 AM</td>\n",
       "      <td>                    NaN</td>\n",
       "      <td>    05 QUEENS</td>\n",
       "      <td>    QUEENS</td>\n",
       "      <td> 1009349</td>\n",
       "      <td> 201984</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td>    QUEENS</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> N</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> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> 40.721041</td>\n",
       "      <td>-73.909453</td>\n",
       "      <td> (40.721040535628305, -73.90945306791765)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td> 26594139</td>\n",
       "      <td> 10/31/2013 02:00:24 AM</td>\n",
       "      <td> 10/31/2013 02:40:32 AM</td>\n",
       "      <td>  NYPD</td>\n",
       "      <td>         New York City Police Department</td>\n",
       "      <td>      Noise - Commercial</td>\n",
       "      <td>             Loud Music/Party</td>\n",
       "      <td> Club/Bar/Restaurant</td>\n",
       "      <td> 10032</td>\n",
       "      <td>    4060 BROADWAY</td>\n",
       "      <td>        BROADWAY</td>\n",
       "      <td> WEST 171 STREET</td>\n",
       "      <td>                  WEST 172 STREET</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td>   ADDRESS</td>\n",
       "      <td> NEW YORK</td>\n",
       "      <td> NaN</td>\n",
       "      <td> Precinct</td>\n",
       "      <td>   Closed</td>\n",
       "      <td> 10/31/2013 10:00:24 AM</td>\n",
       "      <td> 10/31/2013 02:39:42 AM</td>\n",
       "      <td> 12 MANHATTAN</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td> 1001088</td>\n",
       "      <td> 246531</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> N</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> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> 40.843330</td>\n",
       "      <td>-73.939144</td>\n",
       "      <td>  (40.84332975466513, -73.93914371913482)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td> 26595721</td>\n",
       "      <td> 10/31/2013 01:56:23 AM</td>\n",
       "      <td> 10/31/2013 02:21:48 AM</td>\n",
       "      <td>  NYPD</td>\n",
       "      <td>         New York City Police Department</td>\n",
       "      <td>         Noise - Vehicle</td>\n",
       "      <td>               Car/Truck Horn</td>\n",
       "      <td>     Street/Sidewalk</td>\n",
       "      <td> 10023</td>\n",
       "      <td>   WEST 72 STREET</td>\n",
       "      <td>  WEST 72 STREET</td>\n",
       "      <td> COLUMBUS AVENUE</td>\n",
       "      <td>                 AMSTERDAM AVENUE</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> BLOCKFACE</td>\n",
       "      <td> NEW YORK</td>\n",
       "      <td> NaN</td>\n",
       "      <td> Precinct</td>\n",
       "      <td>   Closed</td>\n",
       "      <td> 10/31/2013 09:56:23 AM</td>\n",
       "      <td> 10/31/2013 02:21:10 AM</td>\n",
       "      <td> 07 MANHATTAN</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td>  989730</td>\n",
       "      <td> 222727</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> N</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> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> 40.778009</td>\n",
       "      <td>-73.980213</td>\n",
       "      <td>   (40.7780087446372, -73.98021349023975)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td> 26590930</td>\n",
       "      <td> 10/31/2013 01:53:44 AM</td>\n",
       "      <td>                    NaN</td>\n",
       "      <td> DOHMH</td>\n",
       "      <td> Department of Health and Mental Hygiene</td>\n",
       "      <td>                  Rodent</td>\n",
       "      <td> Condition Attracting Rodents</td>\n",
       "      <td>          Vacant Lot</td>\n",
       "      <td> 10027</td>\n",
       "      <td>  WEST 124 STREET</td>\n",
       "      <td> WEST 124 STREET</td>\n",
       "      <td>    LENOX AVENUE</td>\n",
       "      <td> ADAM CLAYTON POWELL JR BOULEVARD</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> BLOCKFACE</td>\n",
       "      <td> NEW YORK</td>\n",
       "      <td> NaN</td>\n",
       "      <td>      N/A</td>\n",
       "      <td>  Pending</td>\n",
       "      <td> 11/30/2013 01:53:44 AM</td>\n",
       "      <td> 10/31/2013 01:59:54 AM</td>\n",
       "      <td> 10 MANHATTAN</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td>  998815</td>\n",
       "      <td> 233545</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> MANHATTAN</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> Unspecified</td>\n",
       "      <td> N</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> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> NaN</td>\n",
       "      <td> 40.807691</td>\n",
       "      <td>-73.947387</td>\n",
       "      <td>  (40.80769092704951, -73.94738703491433)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unique Key            Created Date             Closed Date Agency                              Agency Name           Complaint Type                    Descriptor        Location Type Incident Zip  Incident Address      Street Name   Cross Street 1                    Cross Street 2 Intersection Street 1 Intersection Street 2 Address Type      City Landmark Facility Type    Status                Due Date Resolution Action Updated Date Community Board    Borough  X Coordinate (State Plane)  Y Coordinate (State Plane) Park Facility Name Park Borough  School Name School Number School Region  School Code School Phone Number School Address  School City School State   School Zip School Not Found  School or Citywide Complaint Vehicle Type Taxi Company Borough Taxi Pick Up Location Bridge Highway Name Bridge Highway Direction Road Ramp Bridge Highway Segment Garage Lot Name Ferry Direction Ferry Terminal Name   Latitude  Longitude                                  Location\n",
       "0    26589651  10/31/2013 02:08:41 AM                     NaN   NYPD          New York City Police Department  Noise - Street/Sidewalk                  Loud Talking      Street/Sidewalk        11432  90-03 169 STREET       169 STREET        90 AVENUE                         91 AVENUE                   NaN                   NaN      ADDRESS   JAMAICA      NaN      Precinct  Assigned  10/31/2013 10:08:41 AM         10/31/2013 02:35:17 AM       12 QUEENS     QUEENS                     1042027                      197389        Unspecified       QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified    Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.708275 -73.791604   (40.70827532593202, -73.79160395779721)\n",
       "1    26593698  10/31/2013 02:01:04 AM                     NaN   NYPD          New York City Police Department          Illegal Parking  Commercial Overnight Parking      Street/Sidewalk        11378         58 AVENUE        58 AVENUE         58 PLACE                         59 STREET                   NaN                   NaN    BLOCKFACE   MASPETH      NaN      Precinct      Open  10/31/2013 10:01:04 AM                            NaN       05 QUEENS     QUEENS                     1009349                      201984        Unspecified       QUEENS  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified    Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.721041 -73.909453  (40.721040535628305, -73.90945306791765)\n",
       "2    26594139  10/31/2013 02:00:24 AM  10/31/2013 02:40:32 AM   NYPD          New York City Police Department       Noise - Commercial              Loud Music/Party  Club/Bar/Restaurant        10032     4060 BROADWAY         BROADWAY  WEST 171 STREET                   WEST 172 STREET                   NaN                   NaN      ADDRESS  NEW YORK      NaN      Precinct    Closed  10/31/2013 10:00:24 AM         10/31/2013 02:39:42 AM    12 MANHATTAN  MANHATTAN                     1001088                      246531        Unspecified    MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified    Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.843330 -73.939144   (40.84332975466513, -73.93914371913482)\n",
       "3    26595721  10/31/2013 01:56:23 AM  10/31/2013 02:21:48 AM   NYPD          New York City Police Department          Noise - Vehicle                Car/Truck Horn      Street/Sidewalk        10023    WEST 72 STREET   WEST 72 STREET  COLUMBUS AVENUE                  AMSTERDAM AVENUE                   NaN                   NaN    BLOCKFACE  NEW YORK      NaN      Precinct    Closed  10/31/2013 09:56:23 AM         10/31/2013 02:21:10 AM    07 MANHATTAN  MANHATTAN                      989730                      222727        Unspecified    MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified    Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.778009 -73.980213    (40.7780087446372, -73.98021349023975)\n",
       "4    26590930  10/31/2013 01:53:44 AM                     NaN  DOHMH  Department of Health and Mental Hygiene                   Rodent  Condition Attracting Rodents           Vacant Lot        10027   WEST 124 STREET  WEST 124 STREET     LENOX AVENUE  ADAM CLAYTON POWELL JR BOULEVARD                   NaN                   NaN    BLOCKFACE  NEW YORK      NaN           N/A   Pending  11/30/2013 01:53:44 AM         10/31/2013 01:59:54 AM    10 MANHATTAN  MANHATTAN                      998815                      233545        Unspecified    MANHATTAN  Unspecified   Unspecified   Unspecified  Unspecified         Unspecified    Unspecified  Unspecified  Unspecified  Unspecified                N                           NaN          NaN                  NaN                   NaN                 NaN                      NaN       NaN                    NaN             NaN             NaN                 NaN  40.807691 -73.947387   (40.80769092704951, -73.94738703491433)"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "b80mMNnwACZ1"
   },
   "source": [
    "We can combine these to get the first 5 rows of a column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "mIJcxw5xACZ1",
    "outputId": "9fd7b78c-0076-4b5b-e437-6a6fca26358b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Noise - Street/Sidewalk\n",
       "1            Illegal Parking\n",
       "2         Noise - Commercial\n",
       "3            Noise - Vehicle\n",
       "4                     Rodent\n",
       "Name: Complaint Type, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints['Complaint Type'][:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U0ZSWtaGACZ3"
   },
   "source": [
    "and it doesn't matter which direction we do it in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "uQnS94cVACZ3",
    "outputId": "64e6eda1-d7a5-4d8d-9f14-447512a360f7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Noise - Street/Sidewalk\n",
       "1            Illegal Parking\n",
       "2         Noise - Commercial\n",
       "3            Noise - Vehicle\n",
       "4                     Rodent\n",
       "Name: Complaint Type, dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints[:5]['Complaint Type']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0o3GRoENACZ4"
   },
   "source": [
    "If the column name has no spaces in it, the following syntax will also work\n",
    "for accesing a column's contents:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "60nXx3buACZ4",
    "outputId": "c071cd7f-9037-4d60-e993-e78b94ae8028"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                       Loud Talking\n",
       "1       Commercial Overnight Parking\n",
       "2                   Loud Music/Party\n",
       "3                     Car/Truck Horn\n",
       "4       Condition Attracting Rodents\n",
       "5                   Banging/Pounding\n",
       "6                          No Access\n",
       "7                   Loud Music/Party\n",
       "8                       Loud Talking\n",
       "9                   Loud Music/Party\n",
       "10                  Loud Music/Party\n",
       "11                  Loud Music/Party\n",
       "12    Double Parked Blocking Vehicle\n",
       "13                     Engine Idling\n",
       "14                      Rat Sighting\n",
       "...\n",
       "111054                                    Loud Talking\n",
       "111055                                    Loud Talking\n",
       "111056                                        Bus Stop\n",
       "111057                     Noise: Jack Hammering (NC2)\n",
       "111058                                Loud Music/Party\n",
       "111059                                    Loud Talking\n",
       "111060    Noise: Construction Before/After Hours (NM1)\n",
       "111061                                Loud Music/Party\n",
       "111062                                Dirty Water (WE)\n",
       "111063                                Dirty Water (WE)\n",
       "111064                            Structure - Outdoors\n",
       "111065                   Posted Parking Sign Violation\n",
       "111066                                    Loud Talking\n",
       "111067                                    Loud Talking\n",
       "111068                                  Partial Access\n",
       "Name: Descriptor, Length: 111069, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints.Descriptor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "USLVobuPACZ5"
   },
   "source": [
    "But note that doesnt work for the column name `Complaint Type`, because it has a space.  So the square bracket syntax is the one to remember."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "65vSEsfAACZ5",
    "outputId": "e30eb20a-6cf6-4e50-8305-e29414fd758f"
   },
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (<ipython-input-13-eaacfb36a606>, line 1)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-13-eaacfb36a606>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    complaints.Complaint Type\u001b[0m\n\u001b[0m                            ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "complaints.Complaint Type"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XQpmQCFTACZ7"
   },
   "source": [
    "## Selecting rows that meet a condition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "iMmwDLkJACZ7"
   },
   "source": [
    "The following produces a new `DataFrame` that contains only the rows with complaints whose `Agency` column is filled with the value 'NYPD'.  We talked a bit more in detail about the pieces of this kind of  complex expression in the section entitled *Selection: Selecting parts of Pandas data frames*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "GLmJQBJBACZ7",
    "outputId": "520289fd-8f85-4f8a-80b8-29414d025c79",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unique Key</th>\n",
       "      <th>Created Date</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>Agency</th>\n",
       "      <th>Agency Name</th>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Descriptor</th>\n",
       "      <th>Location Type</th>\n",
       "      <th>Incident Zip</th>\n",
       "      <th>Incident Address</th>\n",
       "      <th>...</th>\n",
       "      <th>Bridge Highway Name</th>\n",
       "      <th>Bridge Highway Direction</th>\n",
       "      <th>Road Ramp</th>\n",
       "      <th>Bridge Highway Segment</th>\n",
       "      <th>Garage Lot Name</th>\n",
       "      <th>Ferry Direction</th>\n",
       "      <th>Ferry Terminal Name</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>26589651</td>\n",
       "      <td>10/31/2013 02:08:41 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11432</td>\n",
       "      <td>90-03 169 STREET</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>NaN</td>\n",
       "      <td>40.708275</td>\n",
       "      <td>-73.791604</td>\n",
       "      <td>(40.70827532593202, -73.79160395779721)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>26593698</td>\n",
       "      <td>10/31/2013 02:01:04 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Commercial Overnight Parking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11378</td>\n",
       "      <td>58 AVENUE</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>NaN</td>\n",
       "      <td>40.721041</td>\n",
       "      <td>-73.909453</td>\n",
       "      <td>(40.721040535628305, -73.90945306791765)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26594139</td>\n",
       "      <td>10/31/2013 02:00:24 AM</td>\n",
       "      <td>10/31/2013 02:40:32 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10032</td>\n",
       "      <td>4060 BROADWAY</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>NaN</td>\n",
       "      <td>40.843330</td>\n",
       "      <td>-73.939144</td>\n",
       "      <td>(40.84332975466513, -73.93914371913482)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26595721</td>\n",
       "      <td>10/31/2013 01:56:23 AM</td>\n",
       "      <td>10/31/2013 02:21:48 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Horn</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10023</td>\n",
       "      <td>WEST 72 STREET</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>NaN</td>\n",
       "      <td>40.778009</td>\n",
       "      <td>-73.980213</td>\n",
       "      <td>(40.7780087446372, -73.98021349023975)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26592370</td>\n",
       "      <td>10/31/2013 01:46:52 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11372</td>\n",
       "      <td>37 AVENUE</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>NaN</td>\n",
       "      <td>40.749989</td>\n",
       "      <td>-73.881988</td>\n",
       "      <td>(40.7499893014072, -73.88198770727831)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>26595682</td>\n",
       "      <td>10/31/2013 01:46:40 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11419</td>\n",
       "      <td>107-50 109 STREET</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>NaN</td>\n",
       "      <td>40.681533</td>\n",
       "      <td>-73.831737</td>\n",
       "      <td>(40.68153278675525, -73.83173699701601)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26595195</td>\n",
       "      <td>10/31/2013 01:44:19 AM</td>\n",
       "      <td>10/31/2013 01:58:49 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11417</td>\n",
       "      <td>137-09 CROSSBAY BOULEVARD</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>NaN</td>\n",
       "      <td>40.671816</td>\n",
       "      <td>-73.843092</td>\n",
       "      <td>(40.67181584567338, -73.84309181950769)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>26590540</td>\n",
       "      <td>10/31/2013 01:44:14 AM</td>\n",
       "      <td>10/31/2013 02:28:04 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10011</td>\n",
       "      <td>258 WEST 15 STREET</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>NaN</td>\n",
       "      <td>40.739913</td>\n",
       "      <td>-74.000790</td>\n",
       "      <td>(40.73991339303542, -74.00079028612932)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>26594392</td>\n",
       "      <td>10/31/2013 01:34:41 AM</td>\n",
       "      <td>10/31/2013 02:23:51 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11225</td>\n",
       "      <td>835 NOSTRAND AVENUE</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>NaN</td>\n",
       "      <td>40.668204</td>\n",
       "      <td>-73.950648</td>\n",
       "      <td>(40.66820406598287, -73.95064760056546)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>26595176</td>\n",
       "      <td>10/31/2013 01:25:12 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>11218</td>\n",
       "      <td>3775 18 AVENUE</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>NaN</td>\n",
       "      <td>40.634378</td>\n",
       "      <td>-73.969462</td>\n",
       "      <td>(40.63437840816299, -73.96946177104543)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>26591982</td>\n",
       "      <td>10/31/2013 01:24:14 AM</td>\n",
       "      <td>10/31/2013 01:54:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10003</td>\n",
       "      <td>187 2 AVENUE</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>NaN</td>\n",
       "      <td>40.730816</td>\n",
       "      <td>-73.986073</td>\n",
       "      <td>(40.73081644089586, -73.98607265739876)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26594169</td>\n",
       "      <td>10/31/2013 01:20:57 AM</td>\n",
       "      <td>10/31/2013 02:12:31 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Double Parked Blocking Vehicle</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10029</td>\n",
       "      <td>65 EAST 99 STREET</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>NaN</td>\n",
       "      <td>40.788974</td>\n",
       "      <td>-73.952259</td>\n",
       "      <td>(40.78897400211689, -73.95225898702977)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>26594391</td>\n",
       "      <td>10/31/2013 01:20:13 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Engine Idling</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10466</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.891517</td>\n",
       "      <td>-73.836457</td>\n",
       "      <td>(40.89151738488846, -73.83645714593568)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>26591458</td>\n",
       "      <td>10/31/2013 01:14:02 AM</td>\n",
       "      <td>10/31/2013 01:30:34 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10025</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.796597</td>\n",
       "      <td>-73.970370</td>\n",
       "      <td>(40.7965967075252, -73.97036973473399)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>26594086</td>\n",
       "      <td>10/31/2013 12:54:03 AM</td>\n",
       "      <td>10/31/2013 02:16:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10310</td>\n",
       "      <td>173 CAMPBELL AVENUE</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>NaN</td>\n",
       "      <td>40.636182</td>\n",
       "      <td>-74.116150</td>\n",
       "      <td>(40.63618202176914, -74.1161500428337)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>26595117</td>\n",
       "      <td>10/31/2013 12:52:46 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.632437</td>\n",
       "      <td>-73.888173</td>\n",
       "      <td>(40.63243692394328, -73.88817263437012)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>26594210</td>\n",
       "      <td>10/31/2013 12:46:27 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10033</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.852058</td>\n",
       "      <td>-73.934776</td>\n",
       "      <td>(40.85205827756883, -73.93477640780834)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>26592932</td>\n",
       "      <td>10/31/2013 12:43:47 AM</td>\n",
       "      <td>10/31/2013 12:56:20 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>11216</td>\n",
       "      <td>778 PARK PLACE</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>NaN</td>\n",
       "      <td>40.673505</td>\n",
       "      <td>-73.951844</td>\n",
       "      <td>(40.67350473678714, -73.95184414979961)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>26594152</td>\n",
       "      <td>10/31/2013 12:41:17 AM</td>\n",
       "      <td>10/31/2013 01:04:37 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>Store/Commercial</td>\n",
       "      <td>10016</td>\n",
       "      <td>155 E 34TH ST</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>NaN</td>\n",
       "      <td>40.746194</td>\n",
       "      <td>-73.978769</td>\n",
       "      <td>(40.74619417253121, -73.97876853124392)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>26589678</td>\n",
       "      <td>10/31/2013 12:39:55 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Music</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11419</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.692394</td>\n",
       "      <td>-73.833891</td>\n",
       "      <td>(40.69239424979043, -73.8338912453996)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>26592304</td>\n",
       "      <td>10/31/2013 12:38:00 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11216</td>\n",
       "      <td>371 TOMPKINS AVENUE</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>NaN</td>\n",
       "      <td>40.684944</td>\n",
       "      <td>-73.944221</td>\n",
       "      <td>(40.6849442562592, -73.94422078036632)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>26591892</td>\n",
       "      <td>10/31/2013 12:37:16 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>Partial Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10305</td>\n",
       "      <td>1496 BAY STREET</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>NaN</td>\n",
       "      <td>40.607245</td>\n",
       "      <td>-74.061106</td>\n",
       "      <td>(40.60724493456944, -74.06110566015863)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26591573</td>\n",
       "      <td>10/31/2013 12:35:18 AM</td>\n",
       "      <td>10/31/2013 02:41:35 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10312</td>\n",
       "      <td>24 PRINCETON LANE</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>NaN</td>\n",
       "      <td>40.553421</td>\n",
       "      <td>-74.196743</td>\n",
       "      <td>(40.55342078716953, -74.19674315017886)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>26594085</td>\n",
       "      <td>10/31/2013 12:32:08 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10026</td>\n",
       "      <td>121 WEST 116 STREET</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>NaN</td>\n",
       "      <td>40.802390</td>\n",
       "      <td>-73.950526</td>\n",
       "      <td>(40.80238950799943, -73.95052644123253)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>26591641</td>\n",
       "      <td>10/31/2013 12:31:17 AM</td>\n",
       "      <td>10/31/2013 02:41:36 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10312</td>\n",
       "      <td>24 PRINCETON LANE</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>NaN</td>\n",
       "      <td>40.553421</td>\n",
       "      <td>-74.196743</td>\n",
       "      <td>(40.55342078716953, -74.19674315017886)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>26595564</td>\n",
       "      <td>10/31/2013 12:30:36 AM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>AVENUE J</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>NaN</td>\n",
       "      <td>40.634104</td>\n",
       "      <td>-73.911055</td>\n",
       "      <td>(40.634103775951736, -73.91105541883589)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>26593872</td>\n",
       "      <td>10/31/2013 12:29:47 AM</td>\n",
       "      <td>10/31/2013 12:38:29 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - House of Worship</td>\n",
       "      <td>Banging/Pounding</td>\n",
       "      <td>House of Worship</td>\n",
       "      <td>10025</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.795990</td>\n",
       "      <td>-73.968954</td>\n",
       "      <td>(40.795989749917204, -73.96895423714467)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>26591420</td>\n",
       "      <td>10/31/2013 12:28:30 AM</td>\n",
       "      <td>10/31/2013 02:06:11 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Homeless Encampment</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Residential Building/House</td>\n",
       "      <td>10025</td>\n",
       "      <td>2754 BROADWAY</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>NaN</td>\n",
       "      <td>40.801095</td>\n",
       "      <td>-73.967894</td>\n",
       "      <td>(40.8010946529914, -73.96789356094007)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>26592976</td>\n",
       "      <td>10/31/2013 12:23:24 AM</td>\n",
       "      <td>10/31/2013 01:05:41 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>No Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11433</td>\n",
       "      <td>173-41 103 ROAD</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>NaN</td>\n",
       "      <td>40.704081</td>\n",
       "      <td>-73.784054</td>\n",
       "      <td>(40.70408112125158, -73.78405385422116)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>26589606</td>\n",
       "      <td>10/31/2013 12:20:44 AM</td>\n",
       "      <td>10/31/2013 02:10:24 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11216</td>\n",
       "      <td>826 ST JOHN'S PLACE</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>NaN</td>\n",
       "      <td>40.671663</td>\n",
       "      <td>-73.950919</td>\n",
       "      <td>(40.671662601079895, -73.95091901534035)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111018</th>\n",
       "      <td>26432584</td>\n",
       "      <td>10/04/2013 12:45:25 AM</td>\n",
       "      <td>10/04/2013 02:12:42 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Music</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11413</td>\n",
       "      <td>135-12 232 STREET</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>NaN</td>\n",
       "      <td>40.673142</td>\n",
       "      <td>-73.739059</td>\n",
       "      <td>(40.673142046939304, -73.73905892129447)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111021</th>\n",
       "      <td>26432669</td>\n",
       "      <td>10/04/2013 12:42:45 AM</td>\n",
       "      <td>10/04/2013 06:48:20 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11249</td>\n",
       "      <td>125 TAYLOR STREET</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>NaN</td>\n",
       "      <td>40.705733</td>\n",
       "      <td>-73.963381</td>\n",
       "      <td>(40.70573258854396, -73.96338054284558)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111023</th>\n",
       "      <td>26432879</td>\n",
       "      <td>10/04/2013 12:41:45 AM</td>\n",
       "      <td>10/04/2013 02:10:35 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Double Parked Blocking Vehicle</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>955 EAST 98 STREET</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>NaN</td>\n",
       "      <td>40.647619</td>\n",
       "      <td>-73.903549</td>\n",
       "      <td>(40.647618546929706, -73.90354907456388)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111027</th>\n",
       "      <td>26428086</td>\n",
       "      <td>10/04/2013 12:33:14 AM</td>\n",
       "      <td>10/04/2013 02:04:24 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11209</td>\n",
       "      <td>7915 3 AVENUE</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>NaN</td>\n",
       "      <td>40.628381</td>\n",
       "      <td>-74.029040</td>\n",
       "      <td>(40.62838143294541, -74.02904041333245)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111028</th>\n",
       "      <td>26432632</td>\n",
       "      <td>10/04/2013 12:29:09 AM</td>\n",
       "      <td>10/04/2013 12:56:23 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10309</td>\n",
       "      <td>2925 VETERANS ROAD WEST</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>NaN</td>\n",
       "      <td>40.527701</td>\n",
       "      <td>-74.230952</td>\n",
       "      <td>(40.52770124140149, -74.23095203708151)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111029</th>\n",
       "      <td>26426069</td>\n",
       "      <td>10/04/2013 12:28:28 AM</td>\n",
       "      <td>10/04/2013 01:02:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10013</td>\n",
       "      <td>11 DOYERS STREET</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>NaN</td>\n",
       "      <td>40.714502</td>\n",
       "      <td>-73.998128</td>\n",
       "      <td>(40.71450242561791, -73.99812784414995)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111030</th>\n",
       "      <td>26431986</td>\n",
       "      <td>10/04/2013 12:28:01 AM</td>\n",
       "      <td>10/04/2013 03:02:09 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Commercial Overnight Parking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11385</td>\n",
       "      <td>78-51 81 STREET</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>NaN</td>\n",
       "      <td>40.703996</td>\n",
       "      <td>-73.867440</td>\n",
       "      <td>(40.703996010460436, -73.86744046666422)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111031</th>\n",
       "      <td>26427902</td>\n",
       "      <td>10/04/2013 12:24:59 AM</td>\n",
       "      <td>10/04/2013 12:54:18 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10027</td>\n",
       "      <td>3155 BROADWAY</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>NaN</td>\n",
       "      <td>40.814536</td>\n",
       "      <td>-73.959144</td>\n",
       "      <td>(40.81453554135292, -73.95914444206745)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111033</th>\n",
       "      <td>26430709</td>\n",
       "      <td>10/04/2013 12:23:47 AM</td>\n",
       "      <td>10/04/2013 02:45:23 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10030</td>\n",
       "      <td>145 WEST 138 STREET</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>NaN</td>\n",
       "      <td>40.816597</td>\n",
       "      <td>-73.940783</td>\n",
       "      <td>(40.81659709236496, -73.94078307354462)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111034</th>\n",
       "      <td>26427751</td>\n",
       "      <td>10/04/2013 12:22:50 AM</td>\n",
       "      <td>10/04/2013 01:03:44 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10032</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.833488</td>\n",
       "      <td>-73.941578</td>\n",
       "      <td>(40.83348848222364, -73.94157750579586)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111035</th>\n",
       "      <td>26431005</td>\n",
       "      <td>10/04/2013 12:21:04 AM</td>\n",
       "      <td>10/04/2013 01:50:26 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11205</td>\n",
       "      <td>382 WILLOUGHBY AVENUE</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>NaN</td>\n",
       "      <td>40.692956</td>\n",
       "      <td>-73.955350</td>\n",
       "      <td>(40.692955608285715, -73.95534962720475)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111037</th>\n",
       "      <td>26428699</td>\n",
       "      <td>10/04/2013 12:18:20 AM</td>\n",
       "      <td>10/04/2013 01:54:50 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>Car/Truck Music</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10014</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.733054</td>\n",
       "      <td>-74.006408</td>\n",
       "      <td>(40.73305407988208, -74.00640823601)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111039</th>\n",
       "      <td>26428764</td>\n",
       "      <td>10/04/2013 12:17:03 AM</td>\n",
       "      <td>10/04/2013 12:38:37 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10022</td>\n",
       "      <td>249 EAST 53 STREET</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>NaN</td>\n",
       "      <td>40.757248</td>\n",
       "      <td>-73.968286</td>\n",
       "      <td>(40.757247604963055, -73.96828647941395)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111040</th>\n",
       "      <td>26426166</td>\n",
       "      <td>10/04/2013 12:16:22 AM</td>\n",
       "      <td>10/04/2013 05:50:49 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Store/Commercial</td>\n",
       "      <td>10029</td>\n",
       "      <td>252 EAST 110 STREET</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>NaN</td>\n",
       "      <td>40.793635</td>\n",
       "      <td>-73.941649</td>\n",
       "      <td>(40.79363516179995, -73.94164859515777)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111042</th>\n",
       "      <td>26428990</td>\n",
       "      <td>10/04/2013 12:15:52 AM</td>\n",
       "      <td>10/04/2013 12:44:52 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10014</td>\n",
       "      <td>733 WASHINGTON STREET</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>NaN</td>\n",
       "      <td>40.736304</td>\n",
       "      <td>-74.008299</td>\n",
       "      <td>(40.736303747410034, -74.00829935904578)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111043</th>\n",
       "      <td>26432659</td>\n",
       "      <td>10/04/2013 12:15:46 AM</td>\n",
       "      <td>10/04/2013 04:18:45 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11218</td>\n",
       "      <td>1213 CORTELYOU ROAD</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>NaN</td>\n",
       "      <td>40.640139</td>\n",
       "      <td>-73.966847</td>\n",
       "      <td>(40.64013899178716, -73.96684680242933)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111044</th>\n",
       "      <td>26426096</td>\n",
       "      <td>10/04/2013 12:14:09 AM</td>\n",
       "      <td>10/04/2013 01:03:46 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10032</td>\n",
       "      <td>539 WEST 162 STREET</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>NaN</td>\n",
       "      <td>40.836532</td>\n",
       "      <td>-73.941018</td>\n",
       "      <td>(40.836532082987944, -73.9410182995914)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111047</th>\n",
       "      <td>26428989</td>\n",
       "      <td>10/04/2013 12:13:08 AM</td>\n",
       "      <td>10/04/2013 02:12:47 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11434</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.656160</td>\n",
       "      <td>-73.767353</td>\n",
       "      <td>(40.656160351546845, -73.76735262738222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111048</th>\n",
       "      <td>26430030</td>\n",
       "      <td>10/04/2013 12:12:07 AM</td>\n",
       "      <td>10/04/2013 02:45:24 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10027</td>\n",
       "      <td>215 WEST 131ST STREET</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>NaN</td>\n",
       "      <td>40.813339</td>\n",
       "      <td>-73.946328</td>\n",
       "      <td>(40.81333907832113, -73.94632769228208)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111049</th>\n",
       "      <td>26429663</td>\n",
       "      <td>10/04/2013 12:12:07 AM</td>\n",
       "      <td>10/04/2013 01:03:44 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11209</td>\n",
       "      <td>8915 5 AVENUE</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>NaN</td>\n",
       "      <td>40.619601</td>\n",
       "      <td>-74.027826</td>\n",
       "      <td>(40.619601147364584, -74.02782628492785)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111051</th>\n",
       "      <td>26432955</td>\n",
       "      <td>10/04/2013 12:08:15 AM</td>\n",
       "      <td>10/04/2013 12:48:02 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>10009</td>\n",
       "      <td>506 EAST 13 STREET</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>NaN</td>\n",
       "      <td>40.729531</td>\n",
       "      <td>-73.980416</td>\n",
       "      <td>(40.72953107218499, -73.98041550317102)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111054</th>\n",
       "      <td>26426060</td>\n",
       "      <td>10/04/2013 12:06:39 AM</td>\n",
       "      <td>10/04/2013 12:31:16 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11224</td>\n",
       "      <td>4823 BEACH 48 STREET</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>NaN</td>\n",
       "      <td>40.577515</td>\n",
       "      <td>-74.012207</td>\n",
       "      <td>(40.57751513866536, -74.01220705163807)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111055</th>\n",
       "      <td>26430628</td>\n",
       "      <td>10/04/2013 12:06:28 AM</td>\n",
       "      <td>10/04/2013 12:21:39 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11209</td>\n",
       "      <td>7915 3 AVENUE</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>NaN</td>\n",
       "      <td>40.628381</td>\n",
       "      <td>-74.029040</td>\n",
       "      <td>(40.62838143294541, -74.02904041333245)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111058</th>\n",
       "      <td>26426094</td>\n",
       "      <td>10/04/2013 12:05:12 AM</td>\n",
       "      <td>10/04/2013 01:08:29 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11237</td>\n",
       "      <td>211 KNICKERBOCKER AVENUE</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>NaN</td>\n",
       "      <td>40.703365</td>\n",
       "      <td>-73.926345</td>\n",
       "      <td>(40.703365329011284, -73.92634531031759)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111059</th>\n",
       "      <td>26429040</td>\n",
       "      <td>10/04/2013 12:04:52 AM</td>\n",
       "      <td>10/04/2013 03:01:04 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10003</td>\n",
       "      <td>99 2 AVENUE</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>NaN</td>\n",
       "      <td>40.727251</td>\n",
       "      <td>-73.988660</td>\n",
       "      <td>(40.727251287038676, -73.98866028603422)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111061</th>\n",
       "      <td>26426164</td>\n",
       "      <td>10/04/2013 12:03:00 AM</td>\n",
       "      <td>10/04/2013 02:14:57 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Music/Party</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11106</td>\n",
       "      <td>30-09 BROADWAY</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>NaN</td>\n",
       "      <td>40.762279</td>\n",
       "      <td>-73.926013</td>\n",
       "      <td>(40.762278541098084, -73.92601303458156)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111065</th>\n",
       "      <td>26428083</td>\n",
       "      <td>10/04/2013 12:01:05 AM</td>\n",
       "      <td>10/04/2013 02:13:50 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>Posted Parking Sign Violation</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11434</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>40.656160</td>\n",
       "      <td>-73.767353</td>\n",
       "      <td>(40.656160351546845, -73.76735262738222)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111066</th>\n",
       "      <td>26428987</td>\n",
       "      <td>10/04/2013 12:00:45 AM</td>\n",
       "      <td>10/04/2013 01:25:01 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>10016</td>\n",
       "      <td>344 EAST 28 STREET</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>NaN</td>\n",
       "      <td>40.740295</td>\n",
       "      <td>-73.976952</td>\n",
       "      <td>(40.740295354643706, -73.97695165980414)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111067</th>\n",
       "      <td>26426115</td>\n",
       "      <td>10/04/2013 12:00:28 AM</td>\n",
       "      <td>10/04/2013 04:17:32 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>Loud Talking</td>\n",
       "      <td>Club/Bar/Restaurant</td>\n",
       "      <td>11226</td>\n",
       "      <td>1233 FLATBUSH AVENUE</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>NaN</td>\n",
       "      <td>40.640182</td>\n",
       "      <td>-73.955306</td>\n",
       "      <td>(40.64018174662485, -73.95530566958138)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111068</th>\n",
       "      <td>26428033</td>\n",
       "      <td>10/04/2013 12:00:10 AM</td>\n",
       "      <td>10/04/2013 01:20:52 AM</td>\n",
       "      <td>NYPD</td>\n",
       "      <td>New York City Police Department</td>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>Partial Access</td>\n",
       "      <td>Street/Sidewalk</td>\n",
       "      <td>11236</td>\n",
       "      <td>1259 EAST 94 STREET</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>NaN</td>\n",
       "      <td>40.640024</td>\n",
       "      <td>-73.900717</td>\n",
       "      <td>(40.640024057399216, -73.90071711703163)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15295 rows × 52 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unique Key            Created Date             Closed Date Agency  \\\n",
       "0         26589651  10/31/2013 02:08:41 AM                     NaN   NYPD   \n",
       "1         26593698  10/31/2013 02:01:04 AM                     NaN   NYPD   \n",
       "2         26594139  10/31/2013 02:00:24 AM  10/31/2013 02:40:32 AM   NYPD   \n",
       "3         26595721  10/31/2013 01:56:23 AM  10/31/2013 02:21:48 AM   NYPD   \n",
       "5         26592370  10/31/2013 01:46:52 AM                     NaN   NYPD   \n",
       "6         26595682  10/31/2013 01:46:40 AM                     NaN   NYPD   \n",
       "7         26595195  10/31/2013 01:44:19 AM  10/31/2013 01:58:49 AM   NYPD   \n",
       "8         26590540  10/31/2013 01:44:14 AM  10/31/2013 02:28:04 AM   NYPD   \n",
       "9         26594392  10/31/2013 01:34:41 AM  10/31/2013 02:23:51 AM   NYPD   \n",
       "10        26595176  10/31/2013 01:25:12 AM                     NaN   NYPD   \n",
       "11        26591982  10/31/2013 01:24:14 AM  10/31/2013 01:54:39 AM   NYPD   \n",
       "12        26594169  10/31/2013 01:20:57 AM  10/31/2013 02:12:31 AM   NYPD   \n",
       "13        26594391  10/31/2013 01:20:13 AM                     NaN   NYPD   \n",
       "15        26591458  10/31/2013 01:14:02 AM  10/31/2013 01:30:34 AM   NYPD   \n",
       "16        26594086  10/31/2013 12:54:03 AM  10/31/2013 02:16:39 AM   NYPD   \n",
       "17        26595117  10/31/2013 12:52:46 AM                     NaN   NYPD   \n",
       "19        26594210  10/31/2013 12:46:27 AM                     NaN   NYPD   \n",
       "20        26592932  10/31/2013 12:43:47 AM  10/31/2013 12:56:20 AM   NYPD   \n",
       "21        26594152  10/31/2013 12:41:17 AM  10/31/2013 01:04:37 AM   NYPD   \n",
       "22        26589678  10/31/2013 12:39:55 AM                     NaN   NYPD   \n",
       "23        26592304  10/31/2013 12:38:00 AM                     NaN   NYPD   \n",
       "24        26591892  10/31/2013 12:37:16 AM                     NaN   NYPD   \n",
       "25        26591573  10/31/2013 12:35:18 AM  10/31/2013 02:41:35 AM   NYPD   \n",
       "28        26594085  10/31/2013 12:32:08 AM                     NaN   NYPD   \n",
       "30        26591641  10/31/2013 12:31:17 AM  10/31/2013 02:41:36 AM   NYPD   \n",
       "31        26595564  10/31/2013 12:30:36 AM                     NaN   NYPD   \n",
       "33        26593872  10/31/2013 12:29:47 AM  10/31/2013 12:38:29 AM   NYPD   \n",
       "34        26591420  10/31/2013 12:28:30 AM  10/31/2013 02:06:11 AM   NYPD   \n",
       "35        26592976  10/31/2013 12:23:24 AM  10/31/2013 01:05:41 AM   NYPD   \n",
       "37        26589606  10/31/2013 12:20:44 AM  10/31/2013 02:10:24 AM   NYPD   \n",
       "...            ...                     ...                     ...    ...   \n",
       "111018    26432584  10/04/2013 12:45:25 AM  10/04/2013 02:12:42 AM   NYPD   \n",
       "111021    26432669  10/04/2013 12:42:45 AM  10/04/2013 06:48:20 AM   NYPD   \n",
       "111023    26432879  10/04/2013 12:41:45 AM  10/04/2013 02:10:35 AM   NYPD   \n",
       "111027    26428086  10/04/2013 12:33:14 AM  10/04/2013 02:04:24 AM   NYPD   \n",
       "111028    26432632  10/04/2013 12:29:09 AM  10/04/2013 12:56:23 AM   NYPD   \n",
       "111029    26426069  10/04/2013 12:28:28 AM  10/04/2013 01:02:39 AM   NYPD   \n",
       "111030    26431986  10/04/2013 12:28:01 AM  10/04/2013 03:02:09 AM   NYPD   \n",
       "111031    26427902  10/04/2013 12:24:59 AM  10/04/2013 12:54:18 AM   NYPD   \n",
       "111033    26430709  10/04/2013 12:23:47 AM  10/04/2013 02:45:23 AM   NYPD   \n",
       "111034    26427751  10/04/2013 12:22:50 AM  10/04/2013 01:03:44 AM   NYPD   \n",
       "111035    26431005  10/04/2013 12:21:04 AM  10/04/2013 01:50:26 AM   NYPD   \n",
       "111037    26428699  10/04/2013 12:18:20 AM  10/04/2013 01:54:50 AM   NYPD   \n",
       "111039    26428764  10/04/2013 12:17:03 AM  10/04/2013 12:38:37 AM   NYPD   \n",
       "111040    26426166  10/04/2013 12:16:22 AM  10/04/2013 05:50:49 AM   NYPD   \n",
       "111042    26428990  10/04/2013 12:15:52 AM  10/04/2013 12:44:52 AM   NYPD   \n",
       "111043    26432659  10/04/2013 12:15:46 AM  10/04/2013 04:18:45 AM   NYPD   \n",
       "111044    26426096  10/04/2013 12:14:09 AM  10/04/2013 01:03:46 AM   NYPD   \n",
       "111047    26428989  10/04/2013 12:13:08 AM  10/04/2013 02:12:47 AM   NYPD   \n",
       "111048    26430030  10/04/2013 12:12:07 AM  10/04/2013 02:45:24 AM   NYPD   \n",
       "111049    26429663  10/04/2013 12:12:07 AM  10/04/2013 01:03:44 AM   NYPD   \n",
       "111051    26432955  10/04/2013 12:08:15 AM  10/04/2013 12:48:02 AM   NYPD   \n",
       "111054    26426060  10/04/2013 12:06:39 AM  10/04/2013 12:31:16 AM   NYPD   \n",
       "111055    26430628  10/04/2013 12:06:28 AM  10/04/2013 12:21:39 AM   NYPD   \n",
       "111058    26426094  10/04/2013 12:05:12 AM  10/04/2013 01:08:29 AM   NYPD   \n",
       "111059    26429040  10/04/2013 12:04:52 AM  10/04/2013 03:01:04 AM   NYPD   \n",
       "111061    26426164  10/04/2013 12:03:00 AM  10/04/2013 02:14:57 AM   NYPD   \n",
       "111065    26428083  10/04/2013 12:01:05 AM  10/04/2013 02:13:50 AM   NYPD   \n",
       "111066    26428987  10/04/2013 12:00:45 AM  10/04/2013 01:25:01 AM   NYPD   \n",
       "111067    26426115  10/04/2013 12:00:28 AM  10/04/2013 04:17:32 AM   NYPD   \n",
       "111068    26428033  10/04/2013 12:00:10 AM  10/04/2013 01:20:52 AM   NYPD   \n",
       "\n",
       "                            Agency Name            Complaint Type  \\\n",
       "0       New York City Police Department   Noise - Street/Sidewalk   \n",
       "1       New York City Police Department           Illegal Parking   \n",
       "2       New York City Police Department        Noise - Commercial   \n",
       "3       New York City Police Department           Noise - Vehicle   \n",
       "5       New York City Police Department        Noise - Commercial   \n",
       "6       New York City Police Department          Blocked Driveway   \n",
       "7       New York City Police Department        Noise - Commercial   \n",
       "8       New York City Police Department        Noise - Commercial   \n",
       "9       New York City Police Department        Noise - Commercial   \n",
       "10      New York City Police Department  Noise - House of Worship   \n",
       "11      New York City Police Department        Noise - Commercial   \n",
       "12      New York City Police Department           Illegal Parking   \n",
       "13      New York City Police Department           Noise - Vehicle   \n",
       "15      New York City Police Department  Noise - House of Worship   \n",
       "16      New York City Police Department   Noise - Street/Sidewalk   \n",
       "17      New York City Police Department           Illegal Parking   \n",
       "19      New York City Police Department        Noise - Commercial   \n",
       "20      New York City Police Department  Noise - House of Worship   \n",
       "21      New York City Police Department        Noise - Commercial   \n",
       "22      New York City Police Department           Noise - Vehicle   \n",
       "23      New York City Police Department        Noise - Commercial   \n",
       "24      New York City Police Department          Blocked Driveway   \n",
       "25      New York City Police Department   Noise - Street/Sidewalk   \n",
       "28      New York City Police Department   Noise - Street/Sidewalk   \n",
       "30      New York City Police Department          Blocked Driveway   \n",
       "31      New York City Police Department   Noise - Street/Sidewalk   \n",
       "33      New York City Police Department  Noise - House of Worship   \n",
       "34      New York City Police Department       Homeless Encampment   \n",
       "35      New York City Police Department          Blocked Driveway   \n",
       "37      New York City Police Department        Noise - Commercial   \n",
       "...                                 ...                       ...   \n",
       "111018  New York City Police Department           Noise - Vehicle   \n",
       "111021  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111023  New York City Police Department           Illegal Parking   \n",
       "111027  New York City Police Department        Noise - Commercial   \n",
       "111028  New York City Police Department        Noise - Commercial   \n",
       "111029  New York City Police Department        Noise - Commercial   \n",
       "111030  New York City Police Department           Illegal Parking   \n",
       "111031  New York City Police Department        Noise - Commercial   \n",
       "111033  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111034  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111035  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111037  New York City Police Department           Noise - Vehicle   \n",
       "111039  New York City Police Department        Noise - Commercial   \n",
       "111040  New York City Police Department        Noise - Commercial   \n",
       "111042  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111043  New York City Police Department        Noise - Commercial   \n",
       "111044  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111047  New York City Police Department           Illegal Parking   \n",
       "111048  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111049  New York City Police Department        Noise - Commercial   \n",
       "111051  New York City Police Department        Noise - Commercial   \n",
       "111054  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111055  New York City Police Department        Noise - Commercial   \n",
       "111058  New York City Police Department        Noise - Commercial   \n",
       "111059  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111061  New York City Police Department        Noise - Commercial   \n",
       "111065  New York City Police Department           Illegal Parking   \n",
       "111066  New York City Police Department   Noise - Street/Sidewalk   \n",
       "111067  New York City Police Department        Noise - Commercial   \n",
       "111068  New York City Police Department          Blocked Driveway   \n",
       "\n",
       "                            Descriptor               Location Type  \\\n",
       "0                         Loud Talking             Street/Sidewalk   \n",
       "1         Commercial Overnight Parking             Street/Sidewalk   \n",
       "2                     Loud Music/Party         Club/Bar/Restaurant   \n",
       "3                       Car/Truck Horn             Street/Sidewalk   \n",
       "5                     Banging/Pounding         Club/Bar/Restaurant   \n",
       "6                            No Access             Street/Sidewalk   \n",
       "7                     Loud Music/Party         Club/Bar/Restaurant   \n",
       "8                         Loud Talking         Club/Bar/Restaurant   \n",
       "9                     Loud Music/Party         Club/Bar/Restaurant   \n",
       "10                    Loud Music/Party            House of Worship   \n",
       "11                    Loud Music/Party         Club/Bar/Restaurant   \n",
       "12      Double Parked Blocking Vehicle             Street/Sidewalk   \n",
       "13                       Engine Idling             Street/Sidewalk   \n",
       "15                    Loud Music/Party            House of Worship   \n",
       "16                    Loud Music/Party             Street/Sidewalk   \n",
       "17       Posted Parking Sign Violation             Street/Sidewalk   \n",
       "19                    Loud Music/Party         Club/Bar/Restaurant   \n",
       "20                    Loud Music/Party            House of Worship   \n",
       "21                    Banging/Pounding            Store/Commercial   \n",
       "22                     Car/Truck Music             Street/Sidewalk   \n",
       "23                    Loud Music/Party         Club/Bar/Restaurant   \n",
       "24                      Partial Access             Street/Sidewalk   \n",
       "25                        Loud Talking             Street/Sidewalk   \n",
       "28                        Loud Talking             Street/Sidewalk   \n",
       "30                           No Access             Street/Sidewalk   \n",
       "31                    Loud Music/Party             Street/Sidewalk   \n",
       "33                    Banging/Pounding            House of Worship   \n",
       "34                                 NaN  Residential Building/House   \n",
       "35                           No Access             Street/Sidewalk   \n",
       "37                    Loud Music/Party         Club/Bar/Restaurant   \n",
       "...                                ...                         ...   \n",
       "111018                 Car/Truck Music             Street/Sidewalk   \n",
       "111021                    Loud Talking             Street/Sidewalk   \n",
       "111023  Double Parked Blocking Vehicle             Street/Sidewalk   \n",
       "111027                    Loud Talking         Club/Bar/Restaurant   \n",
       "111028                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111029                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111030    Commercial Overnight Parking             Street/Sidewalk   \n",
       "111031                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111033                    Loud Talking             Street/Sidewalk   \n",
       "111034                    Loud Talking             Street/Sidewalk   \n",
       "111035                Loud Music/Party             Street/Sidewalk   \n",
       "111037                 Car/Truck Music             Street/Sidewalk   \n",
       "111039                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111040                Loud Music/Party            Store/Commercial   \n",
       "111042                    Loud Talking             Street/Sidewalk   \n",
       "111043                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111044                    Loud Talking             Street/Sidewalk   \n",
       "111047   Posted Parking Sign Violation             Street/Sidewalk   \n",
       "111048                    Loud Talking             Street/Sidewalk   \n",
       "111049                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111051                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111054                    Loud Talking             Street/Sidewalk   \n",
       "111055                    Loud Talking         Club/Bar/Restaurant   \n",
       "111058                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111059                    Loud Talking             Street/Sidewalk   \n",
       "111061                Loud Music/Party         Club/Bar/Restaurant   \n",
       "111065   Posted Parking Sign Violation             Street/Sidewalk   \n",
       "111066                    Loud Talking             Street/Sidewalk   \n",
       "111067                    Loud Talking         Club/Bar/Restaurant   \n",
       "111068                  Partial Access             Street/Sidewalk   \n",
       "\n",
       "       Incident Zip           Incident Address  \\\n",
       "0             11432           90-03 169 STREET   \n",
       "1             11378                  58 AVENUE   \n",
       "2             10032              4060 BROADWAY   \n",
       "3             10023             WEST 72 STREET   \n",
       "5             11372                  37 AVENUE   \n",
       "6             11419          107-50 109 STREET   \n",
       "7             11417  137-09 CROSSBAY BOULEVARD   \n",
       "8             10011         258 WEST 15 STREET   \n",
       "9             11225        835 NOSTRAND AVENUE   \n",
       "10            11218             3775 18 AVENUE   \n",
       "11            10003               187 2 AVENUE   \n",
       "12            10029          65 EAST 99 STREET   \n",
       "13            10466                        NaN   \n",
       "15            10025                        NaN   \n",
       "16            10310        173 CAMPBELL AVENUE   \n",
       "17            11236                        NaN   \n",
       "19            10033                        NaN   \n",
       "20            11216             778 PARK PLACE   \n",
       "21            10016              155 E 34TH ST   \n",
       "22            11419                        NaN   \n",
       "23            11216        371 TOMPKINS AVENUE   \n",
       "24            10305            1496 BAY STREET   \n",
       "25            10312          24 PRINCETON LANE   \n",
       "28            10026        121 WEST 116 STREET   \n",
       "30            10312          24 PRINCETON LANE   \n",
       "31            11236                   AVENUE J   \n",
       "33            10025                        NaN   \n",
       "34            10025              2754 BROADWAY   \n",
       "35            11433            173-41 103 ROAD   \n",
       "37            11216        826 ST JOHN'S PLACE   \n",
       "...             ...                        ...   \n",
       "111018        11413          135-12 232 STREET   \n",
       "111021        11249          125 TAYLOR STREET   \n",
       "111023        11236         955 EAST 98 STREET   \n",
       "111027        11209              7915 3 AVENUE   \n",
       "111028        10309    2925 VETERANS ROAD WEST   \n",
       "111029        10013           11 DOYERS STREET   \n",
       "111030        11385            78-51 81 STREET   \n",
       "111031        10027              3155 BROADWAY   \n",
       "111033        10030        145 WEST 138 STREET   \n",
       "111034        10032                        NaN   \n",
       "111035        11205      382 WILLOUGHBY AVENUE   \n",
       "111037        10014                        NaN   \n",
       "111039        10022         249 EAST 53 STREET   \n",
       "111040        10029        252 EAST 110 STREET   \n",
       "111042        10014      733 WASHINGTON STREET   \n",
       "111043        11218        1213 CORTELYOU ROAD   \n",
       "111044        10032        539 WEST 162 STREET   \n",
       "111047        11434                        NaN   \n",
       "111048        10027      215 WEST 131ST STREET   \n",
       "111049        11209              8915 5 AVENUE   \n",
       "111051        10009         506 EAST 13 STREET   \n",
       "111054        11224       4823 BEACH 48 STREET   \n",
       "111055        11209              7915 3 AVENUE   \n",
       "111058        11237   211 KNICKERBOCKER AVENUE   \n",
       "111059        10003                99 2 AVENUE   \n",
       "111061        11106             30-09 BROADWAY   \n",
       "111065        11434                        NaN   \n",
       "111066        10016         344 EAST 28 STREET   \n",
       "111067        11226       1233 FLATBUSH AVENUE   \n",
       "111068        11236        1259 EAST 94 STREET   \n",
       "\n",
       "                          ...                    Bridge Highway Name  \\\n",
       "0                         ...                                    NaN   \n",
       "1                         ...                                    NaN   \n",
       "2                         ...                                    NaN   \n",
       "3                         ...                                    NaN   \n",
       "5                         ...                                    NaN   \n",
       "6                         ...                                    NaN   \n",
       "7                         ...                                    NaN   \n",
       "8                         ...                                    NaN   \n",
       "9                         ...                                    NaN   \n",
       "10                        ...                                    NaN   \n",
       "11                        ...                                    NaN   \n",
       "12                        ...                                    NaN   \n",
       "13                        ...                                    NaN   \n",
       "15                        ...                                    NaN   \n",
       "16                        ...                                    NaN   \n",
       "17                        ...                                    NaN   \n",
       "19                        ...                                    NaN   \n",
       "20                        ...                                    NaN   \n",
       "21                        ...                                    NaN   \n",
       "22                        ...                                    NaN   \n",
       "23                        ...                                    NaN   \n",
       "24                        ...                                    NaN   \n",
       "25                        ...                                    NaN   \n",
       "28                        ...                                    NaN   \n",
       "30                        ...                                    NaN   \n",
       "31                        ...                                    NaN   \n",
       "33                        ...                                    NaN   \n",
       "34                        ...                                    NaN   \n",
       "35                        ...                                    NaN   \n",
       "37                        ...                                    NaN   \n",
       "...                       ...                                    ...   \n",
       "111018                    ...                                    NaN   \n",
       "111021                    ...                                    NaN   \n",
       "111023                    ...                                    NaN   \n",
       "111027                    ...                                    NaN   \n",
       "111028                    ...                                    NaN   \n",
       "111029                    ...                                    NaN   \n",
       "111030                    ...                                    NaN   \n",
       "111031                    ...                                    NaN   \n",
       "111033                    ...                                    NaN   \n",
       "111034                    ...                                    NaN   \n",
       "111035                    ...                                    NaN   \n",
       "111037                    ...                                    NaN   \n",
       "111039                    ...                                    NaN   \n",
       "111040                    ...                                    NaN   \n",
       "111042                    ...                                    NaN   \n",
       "111043                    ...                                    NaN   \n",
       "111044                    ...                                    NaN   \n",
       "111047                    ...                                    NaN   \n",
       "111048                    ...                                    NaN   \n",
       "111049                    ...                                    NaN   \n",
       "111051                    ...                                    NaN   \n",
       "111054                    ...                                    NaN   \n",
       "111055                    ...                                    NaN   \n",
       "111058                    ...                                    NaN   \n",
       "111059                    ...                                    NaN   \n",
       "111061                    ...                                    NaN   \n",
       "111065                    ...                                    NaN   \n",
       "111066                    ...                                    NaN   \n",
       "111067                    ...                                    NaN   \n",
       "111068                    ...                                    NaN   \n",
       "\n",
       "       Bridge Highway Direction Road Ramp Bridge Highway Segment  \\\n",
       "0                           NaN       NaN                    NaN   \n",
       "1                           NaN       NaN                    NaN   \n",
       "2                           NaN       NaN                    NaN   \n",
       "3                           NaN       NaN                    NaN   \n",
       "5                           NaN       NaN                    NaN   \n",
       "6                           NaN       NaN                    NaN   \n",
       "7                           NaN       NaN                    NaN   \n",
       "8                           NaN       NaN                    NaN   \n",
       "9                           NaN       NaN                    NaN   \n",
       "10                          NaN       NaN                    NaN   \n",
       "11                          NaN       NaN                    NaN   \n",
       "12                          NaN       NaN                    NaN   \n",
       "13                          NaN       NaN                    NaN   \n",
       "15                          NaN       NaN                    NaN   \n",
       "16                          NaN       NaN                    NaN   \n",
       "17                          NaN       NaN                    NaN   \n",
       "19                          NaN       NaN                    NaN   \n",
       "20                          NaN       NaN                    NaN   \n",
       "21                          NaN       NaN                    NaN   \n",
       "22                          NaN       NaN                    NaN   \n",
       "23                          NaN       NaN                    NaN   \n",
       "24                          NaN       NaN                    NaN   \n",
       "25                          NaN       NaN                    NaN   \n",
       "28                          NaN       NaN                    NaN   \n",
       "30                          NaN       NaN                    NaN   \n",
       "31                          NaN       NaN                    NaN   \n",
       "33                          NaN       NaN                    NaN   \n",
       "34                          NaN       NaN                    NaN   \n",
       "35                          NaN       NaN                    NaN   \n",
       "37                          NaN       NaN                    NaN   \n",
       "...                         ...       ...                    ...   \n",
       "111018                      NaN       NaN                    NaN   \n",
       "111021                      NaN       NaN                    NaN   \n",
       "111023                      NaN       NaN                    NaN   \n",
       "111027                      NaN       NaN                    NaN   \n",
       "111028                      NaN       NaN                    NaN   \n",
       "111029                      NaN       NaN                    NaN   \n",
       "111030                      NaN       NaN                    NaN   \n",
       "111031                      NaN       NaN                    NaN   \n",
       "111033                      NaN       NaN                    NaN   \n",
       "111034                      NaN       NaN                    NaN   \n",
       "111035                      NaN       NaN                    NaN   \n",
       "111037                      NaN       NaN                    NaN   \n",
       "111039                      NaN       NaN                    NaN   \n",
       "111040                      NaN       NaN                    NaN   \n",
       "111042                      NaN       NaN                    NaN   \n",
       "111043                      NaN       NaN                    NaN   \n",
       "111044                      NaN       NaN                    NaN   \n",
       "111047                      NaN       NaN                    NaN   \n",
       "111048                      NaN       NaN                    NaN   \n",
       "111049                      NaN       NaN                    NaN   \n",
       "111051                      NaN       NaN                    NaN   \n",
       "111054                      NaN       NaN                    NaN   \n",
       "111055                      NaN       NaN                    NaN   \n",
       "111058                      NaN       NaN                    NaN   \n",
       "111059                      NaN       NaN                    NaN   \n",
       "111061                      NaN       NaN                    NaN   \n",
       "111065                      NaN       NaN                    NaN   \n",
       "111066                      NaN       NaN                    NaN   \n",
       "111067                      NaN       NaN                    NaN   \n",
       "111068                      NaN       NaN                    NaN   \n",
       "\n",
       "       Garage Lot Name Ferry Direction Ferry Terminal Name   Latitude  \\\n",
       "0                  NaN             NaN                 NaN  40.708275   \n",
       "1                  NaN             NaN                 NaN  40.721041   \n",
       "2                  NaN             NaN                 NaN  40.843330   \n",
       "3                  NaN             NaN                 NaN  40.778009   \n",
       "5                  NaN             NaN                 NaN  40.749989   \n",
       "6                  NaN             NaN                 NaN  40.681533   \n",
       "7                  NaN             NaN                 NaN  40.671816   \n",
       "8                  NaN             NaN                 NaN  40.739913   \n",
       "9                  NaN             NaN                 NaN  40.668204   \n",
       "10                 NaN             NaN                 NaN  40.634378   \n",
       "11                 NaN             NaN                 NaN  40.730816   \n",
       "12                 NaN             NaN                 NaN  40.788974   \n",
       "13                 NaN             NaN                 NaN  40.891517   \n",
       "15                 NaN             NaN                 NaN  40.796597   \n",
       "16                 NaN             NaN                 NaN  40.636182   \n",
       "17                 NaN             NaN                 NaN  40.632437   \n",
       "19                 NaN             NaN                 NaN  40.852058   \n",
       "20                 NaN             NaN                 NaN  40.673505   \n",
       "21                 NaN             NaN                 NaN  40.746194   \n",
       "22                 NaN             NaN                 NaN  40.692394   \n",
       "23                 NaN             NaN                 NaN  40.684944   \n",
       "24                 NaN             NaN                 NaN  40.607245   \n",
       "25                 NaN             NaN                 NaN  40.553421   \n",
       "28                 NaN             NaN                 NaN  40.802390   \n",
       "30                 NaN             NaN                 NaN  40.553421   \n",
       "31                 NaN             NaN                 NaN  40.634104   \n",
       "33                 NaN             NaN                 NaN  40.795990   \n",
       "34                 NaN             NaN                 NaN  40.801095   \n",
       "35                 NaN             NaN                 NaN  40.704081   \n",
       "37                 NaN             NaN                 NaN  40.671663   \n",
       "...                ...             ...                 ...        ...   \n",
       "111018             NaN             NaN                 NaN  40.673142   \n",
       "111021             NaN             NaN                 NaN  40.705733   \n",
       "111023             NaN             NaN                 NaN  40.647619   \n",
       "111027             NaN             NaN                 NaN  40.628381   \n",
       "111028             NaN             NaN                 NaN  40.527701   \n",
       "111029             NaN             NaN                 NaN  40.714502   \n",
       "111030             NaN             NaN                 NaN  40.703996   \n",
       "111031             NaN             NaN                 NaN  40.814536   \n",
       "111033             NaN             NaN                 NaN  40.816597   \n",
       "111034             NaN             NaN                 NaN  40.833488   \n",
       "111035             NaN             NaN                 NaN  40.692956   \n",
       "111037             NaN             NaN                 NaN  40.733054   \n",
       "111039             NaN             NaN                 NaN  40.757248   \n",
       "111040             NaN             NaN                 NaN  40.793635   \n",
       "111042             NaN             NaN                 NaN  40.736304   \n",
       "111043             NaN             NaN                 NaN  40.640139   \n",
       "111044             NaN             NaN                 NaN  40.836532   \n",
       "111047             NaN             NaN                 NaN  40.656160   \n",
       "111048             NaN             NaN                 NaN  40.813339   \n",
       "111049             NaN             NaN                 NaN  40.619601   \n",
       "111051             NaN             NaN                 NaN  40.729531   \n",
       "111054             NaN             NaN                 NaN  40.577515   \n",
       "111055             NaN             NaN                 NaN  40.628381   \n",
       "111058             NaN             NaN                 NaN  40.703365   \n",
       "111059             NaN             NaN                 NaN  40.727251   \n",
       "111061             NaN             NaN                 NaN  40.762279   \n",
       "111065             NaN             NaN                 NaN  40.656160   \n",
       "111066             NaN             NaN                 NaN  40.740295   \n",
       "111067             NaN             NaN                 NaN  40.640182   \n",
       "111068             NaN             NaN                 NaN  40.640024   \n",
       "\n",
       "        Longitude                                  Location  \n",
       "0      -73.791604   (40.70827532593202, -73.79160395779721)  \n",
       "1      -73.909453  (40.721040535628305, -73.90945306791765)  \n",
       "2      -73.939144   (40.84332975466513, -73.93914371913482)  \n",
       "3      -73.980213    (40.7780087446372, -73.98021349023975)  \n",
       "5      -73.881988    (40.7499893014072, -73.88198770727831)  \n",
       "6      -73.831737   (40.68153278675525, -73.83173699701601)  \n",
       "7      -73.843092   (40.67181584567338, -73.84309181950769)  \n",
       "8      -74.000790   (40.73991339303542, -74.00079028612932)  \n",
       "9      -73.950648   (40.66820406598287, -73.95064760056546)  \n",
       "10     -73.969462   (40.63437840816299, -73.96946177104543)  \n",
       "11     -73.986073   (40.73081644089586, -73.98607265739876)  \n",
       "12     -73.952259   (40.78897400211689, -73.95225898702977)  \n",
       "13     -73.836457   (40.89151738488846, -73.83645714593568)  \n",
       "15     -73.970370    (40.7965967075252, -73.97036973473399)  \n",
       "16     -74.116150    (40.63618202176914, -74.1161500428337)  \n",
       "17     -73.888173   (40.63243692394328, -73.88817263437012)  \n",
       "19     -73.934776   (40.85205827756883, -73.93477640780834)  \n",
       "20     -73.951844   (40.67350473678714, -73.95184414979961)  \n",
       "21     -73.978769   (40.74619417253121, -73.97876853124392)  \n",
       "22     -73.833891    (40.69239424979043, -73.8338912453996)  \n",
       "23     -73.944221    (40.6849442562592, -73.94422078036632)  \n",
       "24     -74.061106   (40.60724493456944, -74.06110566015863)  \n",
       "25     -74.196743   (40.55342078716953, -74.19674315017886)  \n",
       "28     -73.950526   (40.80238950799943, -73.95052644123253)  \n",
       "30     -74.196743   (40.55342078716953, -74.19674315017886)  \n",
       "31     -73.911055  (40.634103775951736, -73.91105541883589)  \n",
       "33     -73.968954  (40.795989749917204, -73.96895423714467)  \n",
       "34     -73.967894    (40.8010946529914, -73.96789356094007)  \n",
       "35     -73.784054   (40.70408112125158, -73.78405385422116)  \n",
       "37     -73.950919  (40.671662601079895, -73.95091901534035)  \n",
       "...           ...                                       ...  \n",
       "111018 -73.739059  (40.673142046939304, -73.73905892129447)  \n",
       "111021 -73.963381   (40.70573258854396, -73.96338054284558)  \n",
       "111023 -73.903549  (40.647618546929706, -73.90354907456388)  \n",
       "111027 -74.029040   (40.62838143294541, -74.02904041333245)  \n",
       "111028 -74.230952   (40.52770124140149, -74.23095203708151)  \n",
       "111029 -73.998128   (40.71450242561791, -73.99812784414995)  \n",
       "111030 -73.867440  (40.703996010460436, -73.86744046666422)  \n",
       "111031 -73.959144   (40.81453554135292, -73.95914444206745)  \n",
       "111033 -73.940783   (40.81659709236496, -73.94078307354462)  \n",
       "111034 -73.941578   (40.83348848222364, -73.94157750579586)  \n",
       "111035 -73.955350  (40.692955608285715, -73.95534962720475)  \n",
       "111037 -74.006408      (40.73305407988208, -74.00640823601)  \n",
       "111039 -73.968286  (40.757247604963055, -73.96828647941395)  \n",
       "111040 -73.941649   (40.79363516179995, -73.94164859515777)  \n",
       "111042 -74.008299  (40.736303747410034, -74.00829935904578)  \n",
       "111043 -73.966847   (40.64013899178716, -73.96684680242933)  \n",
       "111044 -73.941018   (40.836532082987944, -73.9410182995914)  \n",
       "111047 -73.767353  (40.656160351546845, -73.76735262738222)  \n",
       "111048 -73.946328   (40.81333907832113, -73.94632769228208)  \n",
       "111049 -74.027826  (40.619601147364584, -74.02782628492785)  \n",
       "111051 -73.980416   (40.72953107218499, -73.98041550317102)  \n",
       "111054 -74.012207   (40.57751513866536, -74.01220705163807)  \n",
       "111055 -74.029040   (40.62838143294541, -74.02904041333245)  \n",
       "111058 -73.926345  (40.703365329011284, -73.92634531031759)  \n",
       "111059 -73.988660  (40.727251287038676, -73.98866028603422)  \n",
       "111061 -73.926013  (40.762278541098084, -73.92601303458156)  \n",
       "111065 -73.767353  (40.656160351546845, -73.76735262738222)  \n",
       "111066 -73.976952  (40.740295354643706, -73.97695165980414)  \n",
       "111067 -73.955306   (40.64018174662485, -73.95530566958138)  \n",
       "111068 -73.900717  (40.640024057399216, -73.90071711703163)  \n",
       "\n",
       "[15295 rows x 52 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints[complaints['Agency'] == 'NYPD']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "btRQesIMACZ8"
   },
   "source": [
    "# 2.3 Selecting multiple columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pMGfBAMBACZ8"
   },
   "source": [
    "What if we just want to know the complaint type and the borough, but not the rest of the information? Pandas makes it really easy to select a subset of the columns: just index with list of columns you want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "6TbxUQDRACZ9",
    "outputId": "1e694125-4f5e-4827-a32b-05a8490c551b"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Borough</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0     </th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1     </th>\n",
       "      <td>          Illegal Parking</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2     </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3     </th>\n",
       "      <td>          Noise - Vehicle</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4     </th>\n",
       "      <td>                   Rodent</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5     </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6     </th>\n",
       "      <td>         Blocked Driveway</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7     </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8     </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9     </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10    </th>\n",
       "      <td> Noise - House of Worship</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11    </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12    </th>\n",
       "      <td>          Illegal Parking</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13    </th>\n",
       "      <td>          Noise - Vehicle</td>\n",
       "      <td>         BRONX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14    </th>\n",
       "      <td>                   Rodent</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15    </th>\n",
       "      <td> Noise - House of Worship</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16    </th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td> STATEN ISLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17    </th>\n",
       "      <td>          Illegal Parking</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18    </th>\n",
       "      <td>   Street Light Condition</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19    </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20    </th>\n",
       "      <td> Noise - House of Worship</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21    </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22    </th>\n",
       "      <td>          Noise - Vehicle</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23    </th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24    </th>\n",
       "      <td>         Blocked Driveway</td>\n",
       "      <td> STATEN ISLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25    </th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td> STATEN ISLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26    </th>\n",
       "      <td>   Street Light Condition</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27    </th>\n",
       "      <td>     Harboring Bees/Wasps</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28    </th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29    </th>\n",
       "      <td>   Street Light Condition</td>\n",
       "      <td> STATEN ISLAND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111039</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111040</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111041</th>\n",
       "      <td>                    Noise</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111042</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111043</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111044</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111045</th>\n",
       "      <td>             Water System</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111046</th>\n",
       "      <td>                    Noise</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111047</th>\n",
       "      <td>          Illegal Parking</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111048</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111049</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111050</th>\n",
       "      <td>                    Noise</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111051</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111052</th>\n",
       "      <td>             Water System</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111053</th>\n",
       "      <td>        Derelict Vehicles</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111054</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111055</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111056</th>\n",
       "      <td>    Street Sign - Missing</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111057</th>\n",
       "      <td>                    Noise</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111058</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111059</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111060</th>\n",
       "      <td>                    Noise</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111061</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111062</th>\n",
       "      <td>             Water System</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111063</th>\n",
       "      <td>             Water System</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111064</th>\n",
       "      <td>  Maintenance or Facility</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111065</th>\n",
       "      <td>          Illegal Parking</td>\n",
       "      <td>        QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111066</th>\n",
       "      <td>  Noise - Street/Sidewalk</td>\n",
       "      <td>     MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111067</th>\n",
       "      <td>       Noise - Commercial</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111068</th>\n",
       "      <td>         Blocked Driveway</td>\n",
       "      <td>      BROOKLYN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111069 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Complaint Type        Borough\n",
       "0        Noise - Street/Sidewalk         QUEENS\n",
       "1                Illegal Parking         QUEENS\n",
       "2             Noise - Commercial      MANHATTAN\n",
       "3                Noise - Vehicle      MANHATTAN\n",
       "4                         Rodent      MANHATTAN\n",
       "5             Noise - Commercial         QUEENS\n",
       "6               Blocked Driveway         QUEENS\n",
       "7             Noise - Commercial         QUEENS\n",
       "8             Noise - Commercial      MANHATTAN\n",
       "9             Noise - Commercial       BROOKLYN\n",
       "10      Noise - House of Worship       BROOKLYN\n",
       "11            Noise - Commercial      MANHATTAN\n",
       "12               Illegal Parking      MANHATTAN\n",
       "13               Noise - Vehicle          BRONX\n",
       "14                        Rodent       BROOKLYN\n",
       "15      Noise - House of Worship      MANHATTAN\n",
       "16       Noise - Street/Sidewalk  STATEN ISLAND\n",
       "17               Illegal Parking       BROOKLYN\n",
       "18        Street Light Condition       BROOKLYN\n",
       "19            Noise - Commercial      MANHATTAN\n",
       "20      Noise - House of Worship       BROOKLYN\n",
       "21            Noise - Commercial      MANHATTAN\n",
       "22               Noise - Vehicle         QUEENS\n",
       "23            Noise - Commercial       BROOKLYN\n",
       "24              Blocked Driveway  STATEN ISLAND\n",
       "25       Noise - Street/Sidewalk  STATEN ISLAND\n",
       "26        Street Light Condition       BROOKLYN\n",
       "27          Harboring Bees/Wasps      MANHATTAN\n",
       "28       Noise - Street/Sidewalk      MANHATTAN\n",
       "29        Street Light Condition  STATEN ISLAND\n",
       "...                          ...            ...\n",
       "111039        Noise - Commercial      MANHATTAN\n",
       "111040        Noise - Commercial      MANHATTAN\n",
       "111041                     Noise       BROOKLYN\n",
       "111042   Noise - Street/Sidewalk      MANHATTAN\n",
       "111043        Noise - Commercial       BROOKLYN\n",
       "111044   Noise - Street/Sidewalk      MANHATTAN\n",
       "111045              Water System      MANHATTAN\n",
       "111046                     Noise       BROOKLYN\n",
       "111047           Illegal Parking         QUEENS\n",
       "111048   Noise - Street/Sidewalk      MANHATTAN\n",
       "111049        Noise - Commercial       BROOKLYN\n",
       "111050                     Noise      MANHATTAN\n",
       "111051        Noise - Commercial      MANHATTAN\n",
       "111052              Water System      MANHATTAN\n",
       "111053         Derelict Vehicles         QUEENS\n",
       "111054   Noise - Street/Sidewalk       BROOKLYN\n",
       "111055        Noise - Commercial       BROOKLYN\n",
       "111056     Street Sign - Missing         QUEENS\n",
       "111057                     Noise      MANHATTAN\n",
       "111058        Noise - Commercial       BROOKLYN\n",
       "111059   Noise - Street/Sidewalk      MANHATTAN\n",
       "111060                     Noise      MANHATTAN\n",
       "111061        Noise - Commercial         QUEENS\n",
       "111062              Water System      MANHATTAN\n",
       "111063              Water System      MANHATTAN\n",
       "111064   Maintenance or Facility       BROOKLYN\n",
       "111065           Illegal Parking         QUEENS\n",
       "111066   Noise - Street/Sidewalk      MANHATTAN\n",
       "111067        Noise - Commercial       BROOKLYN\n",
       "111068          Blocked Driveway       BROOKLYN\n",
       "\n",
       "[111069 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints[['Complaint Type', 'Borough']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "L0UmUjoPACZ-"
   },
   "source": [
    "The following variant is error!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "lLdxhyURACZ-",
    "outputId": "ec5edaab-ce5a-4e19-de0b-849f0c5c74fe",
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unhashable type: 'list'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-16fed57bc4c4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcomplaints\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Complaint Type'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Borough'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/frame.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2001\u001b[0m             \u001b[0;31m# get column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2002\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2003\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_item_cache\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2004\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2005\u001b[0m             \u001b[0;31m# duplicate columns\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36m_get_item_cache\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m    665\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    666\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 667\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    668\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_box_item_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    669\u001b[0m             \u001b[0mcache\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   1653\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1654\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_unique\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1655\u001b[0;31m             \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_block\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1656\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1657\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36m_find_block\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   1933\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1934\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_find_block\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1935\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_have\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1936\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mblock\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1937\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/internals.pyc\u001b[0m in \u001b[0;36m_check_have\u001b[0;34m(self, item)\u001b[0m\n\u001b[1;32m   1939\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1940\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_check_have\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1941\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1942\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'no item named %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpprint_thing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1943\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/Users/gawron/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/core/index.pyc\u001b[0m in \u001b[0;36m__contains__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    317\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    318\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__contains__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 319\u001b[0;31m         \u001b[0mhash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    320\u001b[0m         \u001b[0;31m# work around some kind of odd cython bug\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    321\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'list'"
     ]
    }
   ],
   "source": [
    "complaints[['Complaint Type'],['Borough']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sLvGOm_6ACZ_"
   },
   "source": [
    "```\n",
    "complaints[['Complaint Type', 'Borough']]\n",
    "```\n",
    "\n",
    "shows us a summary of a `DataFrame`; we can choose instead to look at the first 10 rows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wsd7Qtm9ACaA",
    "outputId": "b76c5859-facc-41cc-80a1-8f91098048a3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Borough</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Noise - Street/Sidewalk</td>\n",
       "      <td>QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Illegal Parking</td>\n",
       "      <td>QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Noise - Vehicle</td>\n",
       "      <td>MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rodent</td>\n",
       "      <td>MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Blocked Driveway</td>\n",
       "      <td>QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>QUEENS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>MANHATTAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Noise - Commercial</td>\n",
       "      <td>BROOKLYN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Complaint Type    Borough\n",
       "0  Noise - Street/Sidewalk     QUEENS\n",
       "1          Illegal Parking     QUEENS\n",
       "2       Noise - Commercial  MANHATTAN\n",
       "3          Noise - Vehicle  MANHATTAN\n",
       "4                   Rodent  MANHATTAN\n",
       "5       Noise - Commercial     QUEENS\n",
       "6         Blocked Driveway     QUEENS\n",
       "7       Noise - Commercial     QUEENS\n",
       "8       Noise - Commercial  MANHATTAN\n",
       "9       Noise - Commercial   BROOKLYN"
      ]
     },
     "execution_count": 64,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints[['Complaint Type', 'Borough']][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Q4kaHDAAACaB"
   },
   "source": [
    "# 2.4 What's the most common complaint type?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Pw1bqz4cACaB"
   },
   "source": [
    "This is a really easy question to answer! There's a `.value_counts()` method that we can use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "P021Xt8FACaB"
   },
   "outputs": [],
   "source": [
    "complaints['Value Row'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "UiA8XCv5ACaD",
    "outputId": "b970cccd-1c2b-44c5-e57d-d7a47a3b5af7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    1\n",
       "2    1\n",
       "3    1\n",
       "4    1\n",
       "5    1\n",
       "6    1\n",
       "7    1\n",
       "8    1\n",
       "9    1\n",
       "Name: Value Row, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints['Value Row'][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Tj4aYhvpACaF"
   },
   "outputs": [],
   "source": [
    "#df = df[df.column.isin(value_list)]\n",
    "pt00 = complaints[complaints.Agency.isin(['DOT', \"DOP\", 'NYPD'])]\n",
    "pt0 = pt00.pivot_table('Value Row', 'Agency' , columns = 'Complaint Type',aggfunc=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "H0uEOtJBACaG",
    "outputId": "1f54ccb3-fde7-40fa-8706-ccfc742d2af0"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Complaint Type</th>\n",
       "      <th>Agency Issues</th>\n",
       "      <th>Animal Abuse</th>\n",
       "      <th>Bike Rack Condition</th>\n",
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       "      <th>Blocked Driveway</th>\n",
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       "      <th>Broken Muni Meter</th>\n",
       "      <th>Bus Stop Shelter Placement</th>\n",
       "      <th>Compliment</th>\n",
       "      <th>Curb Condition</th>\n",
       "      <th>...</th>\n",
       "      <th>Street Condition</th>\n",
       "      <th>Street Light Condition</th>\n",
       "      <th>Street Sign - Damaged</th>\n",
       "      <th>Street Sign - Dangling</th>\n",
       "      <th>Street Sign - Missing</th>\n",
       "      <th>Traffic</th>\n",
       "      <th>Traffic Signal Condition</th>\n",
       "      <th>Tunnel Condition</th>\n",
       "      <th>Urinating in Public</th>\n",
       "      <th>Vending</th>\n",
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       "    <tr>\n",
       "      <th>Agency</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th>DOP</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
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       "      <td>NaN</td>\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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOT</th>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2070.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3473.0</td>\n",
       "      <td>7117.0</td>\n",
       "      <td>691.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>NYPD</th>\n",
       "      <td>NaN</td>\n",
       "      <td>164.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>4590.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>168.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>229.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Complaint Type  Agency Issues  Animal Abuse  Bike Rack Condition  \\\n",
       "Agency                                                             \n",
       "DOP                       NaN           NaN                  NaN   \n",
       "DOT                      20.0           NaN                  7.0   \n",
       "NYPD                      NaN         164.0                  NaN   \n",
       "\n",
       "Complaint Type  Bike/Roller/Skate Chronic  Blocked Driveway  Bridge Condition  \\\n",
       "Agency                                                                          \n",
       "DOP                                   NaN               NaN               NaN   \n",
       "DOT                                   NaN               NaN              20.0   \n",
       "NYPD                                 32.0            4590.0               NaN   \n",
       "\n",
       "Complaint Type  Broken Muni Meter  Bus Stop Shelter Placement  Compliment  \\\n",
       "Agency                                                                      \n",
       "DOP                           NaN                         NaN         NaN   \n",
       "DOT                        2070.0                        14.0         1.0   \n",
       "NYPD                          NaN                         NaN         NaN   \n",
       "\n",
       "Complaint Type  Curb Condition   ...     Street Condition  \\\n",
       "Agency                           ...                        \n",
       "DOP                        NaN   ...                  NaN   \n",
       "DOT                       66.0   ...               3473.0   \n",
       "NYPD                       NaN   ...                  NaN   \n",
       "\n",
       "Complaint Type  Street Light Condition  Street Sign - Damaged  \\\n",
       "Agency                                                          \n",
       "DOP                                NaN                    NaN   \n",
       "DOT                             7117.0                  691.0   \n",
       "NYPD                               NaN                    NaN   \n",
       "\n",
       "Complaint Type  Street Sign - Dangling  Street Sign - Missing  Traffic  \\\n",
       "Agency                                                                   \n",
       "DOP                                NaN                    NaN      NaN   \n",
       "DOT                              110.0                  327.0      NaN   \n",
       "NYPD                               NaN                    NaN    168.0   \n",
       "\n",
       "Complaint Type  Traffic Signal Condition  Tunnel Condition  \\\n",
       "Agency                                                       \n",
       "DOP                                  NaN               NaN   \n",
       "DOT                               3145.0               1.0   \n",
       "NYPD                                 NaN               NaN   \n",
       "\n",
       "Complaint Type  Urinating in Public  Vending  \n",
       "Agency                                        \n",
       "DOP                             NaN      NaN  \n",
       "DOT                             NaN      NaN  \n",
       "NYPD                           30.0    229.0  \n",
       "\n",
       "[3 rows x 46 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pt0[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "VPf8UXAHACaH",
    "outputId": "a82b60a1-bcfd-44b9-ea2d-673e8146b9d8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "HEATING                     14200\n",
       "GENERAL CONSTRUCTION         7471\n",
       "Street Light Condition       7117\n",
       "DOF Literature Request       5797\n",
       "PLUMBING                     5373\n",
       "PAINT - PLASTER              5149\n",
       "Blocked Driveway             4590\n",
       "NONCONST                     3998\n",
       "Street Condition             3473\n",
       "Illegal Parking              3343\n",
       "Noise                        3321\n",
       "Traffic Signal Condition     3145\n",
       "Dirty Conditions             2653\n",
       "Water System                 2636\n",
       "Noise - Commercial           2578\n",
       "...\n",
       "Opinion for the Mayor                2\n",
       "Window Guard                         2\n",
       "DFTA Literature Request              2\n",
       "Legal Services Provider Complaint    2\n",
       "Open Flame Permit                    1\n",
       "Snow                                 1\n",
       "Municipal Parking Facility           1\n",
       "X-Ray Machine/Equipment              1\n",
       "Stalled Sites                        1\n",
       "DHS Income Savings Requirement       1\n",
       "Tunnel Condition                     1\n",
       "Highway Sign - Damaged               1\n",
       "Ferry Permit                         1\n",
       "Trans Fat                            1\n",
       "DWD                                  1\n",
       "Length: 165, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaints['Complaint Type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7dH_QlhbACaJ"
   },
   "source": [
    "If we just wanted the top 10 most common complaints, we can do this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "dKPxUU6RACaJ",
    "outputId": "79836929-fcf8-447c-9463-811ce304ac82"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "HEATING                   14200\n",
       "GENERAL CONSTRUCTION       7471\n",
       "Street Light Condition     7117\n",
       "DOF Literature Request     5797\n",
       "PLUMBING                   5373\n",
       "PAINT - PLASTER            5149\n",
       "Blocked Driveway           4590\n",
       "NONCONST                   3998\n",
       "Street Condition           3473\n",
       "Illegal Parking            3343\n",
       "Name: Complaint Type, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "complaint_counts = complaints['Complaint Type'].value_counts()\n",
    "complaint_counts[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "73M1SeetACaK"
   },
   "source": [
    "But it gets better! This is a  Series, so we can plot them!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ZkXSe7cbACaK",
    "outputId": "0ca28ef6-b3ab-4119-93a0-656e3b81c1c5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x124242e10>"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UUWHvsv3lLuMYdXVVhLVs3+n/rKPrjzMic476HPk1FUmbUZLKk4GdgN9Qai1v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\n9iSWDvXdxzOs3sG8jhXrK/2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11879b690>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "complaint_counts[:10].plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SDyW3lWuACaL"
   },
   "source": [
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    "    div.cell{\n",
    "        width:800px;\n",
    "        margin-left:16% !important;\n",
    "        margin-right:auto;\n",
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    "    h1 {\n",
    "        font-family: Helvetica, serif;\n",
    "    }\n",
    "    h4{\n",
    "        margin-top:12px;\n",
    "        margin-bottom: 3px;\n",
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    "    .CodeMirror{\n",
    "            font-family: \"Source Code Pro\", source-code-pro,Consolas, monospace;\n",
    "    }\n",
    "    .text_cell_render h5 {\n",
    "        font-weight: 300;\n",
    "        font-size: 22pt;\n",
    "        color: #4057A1;\n",
    "        font-style: italic;\n",
    "        margin-bottom: .5em;\n",
    "        margin-top: 0.5em;\n",
    "        display: block;\n",
    "    }\n",
    "    \n",
    "    .warning{\n",
    "        color: rgb( 240, 20, 20 )\n",
    "        }  "
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [
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   ],
   "name": "Copy of general_pandas_intro.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  },
  "name": "_merged",
  "toc": {
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   "nav_menu": {
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   },
   "number_sections": true,
   "sideBar": true,
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   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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 },
 "nbformat": 4,
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}