BOE Voter Registration - Census Tract to Election District Ratios (May 2022).ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geopandas #geopandas is not required for this notebook but helpful for exploratory data analysis/anomaly detection\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import requests\n",
    "import json\n",
    "import time\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#To install the Department of City Planning's Geosupport Desktop Edition and use it in Python, click here:\n",
    "#https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-gde-home.page\n",
    "#on how to use it in python: https://github.com/ishiland/python-geosupport\n",
    "\n",
    "from geosupport import Geosupport\n",
    "from geosupport import GeosupportError\n",
    "g = Geosupport()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "month_of_data_received = 'May 2022'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this is the main directory where the cleaned voter data will be saved\n",
    "export_url = 'M:/BOE Voter Registration Data/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background\n",
    "BOE Voter Registration Data is a list of registered voters up until the time the data was obtained. We’ll first geocode that data to get the census tract of each voter, and then use that data to calculate the tract-to-election district ratio for each tract, with respect to all the EDs that fall in each of these tracts. \n",
    "\n",
    "There are other methods (perhaps more simple/open source) to calculate the tract-to-election district ratio such as the [‘area overlap’](https://github.com/faraz-ahmed-sh/distributing_data_overlapping_polygons/blob/main/distributing_data_by_overlapping_polygons.ipynb) method that shows the intersection area between two polygons/geographical areas. Demographers, however, recommend taking into account the population distribution wherever that data is available.\n",
    "\n",
    "The output of this file is a table that calculates for a given census tract, how many election districts overlap with it and by how much."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  1. Import the BOE Voter Registration Files for NYC (note that this data changes everyday as BOE processes new voter registrations everyday)\n",
    "#### BOE voter registration file can be received (in a CD) by filling out the application here: https://www.elections.ny.gov/FoilRequestVoterRegDataPrint.html\n",
    "\n",
    "#### Note: when filling out the FOIL request above, request the data for whole of NY State (the option to select multiple boroughs at the same time is not available). alternatively, you can get CDs for each of the five NYC counties.\n",
    "\n",
    "#### In the code below, we have the data for whole state (over 7 million registered voters) and we'll filter for voters that are in NYC only using the data chunk technique in pandas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we'll use the chunk method while reading in the data since the dataset for whole of NY state is over 8 GB."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fahmed\\Anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version.\n",
      "\n",
      "\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
     ]
    }
   ],
   "source": [
    "boe_current_voter_data_url2 = pd.read_csv(\"M:/BOE Voter Registration Data/May 2022/AllNYSVoters_20220502.txt\", \\\n",
    "                                         sep='\",', encoding = \"ISO-8859-1\", error_bad_lines=False, engine='python',\\\n",
    "                                          chunksize=1000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "#header row copied from the BOE provided voter file layout\n",
    "header_row = ['LASTNAME', 'FIRSTNAME', 'MIDDLENAME', 'NAMESUFFIX', \\\n",
    " 'RADDNUMBER', 'RHALFCODE', 'RPREDIRECTION', 'RSTREETNAME', 'RPOSTDIRECTION', 'RAPARTMENTTYPE', 'RAPARTMENT', 'RADDRNONSTD', \\\n",
    " 'RCITY', 'RZIP5', \\\n",
    "'RZIP4', 'MAILADD1', 'MAILADD2', 'MAILADD3', 'MAILADD4', \\\n",
    "              'DOB', 'GENDER', 'ENROLLMENT', 'OTHERPARTY', 'COUNTYCODE', 'ED', 'LD',\\\n",
    "'TOWNCITY', 'WARD', 'CD', 'SD', 'AD', 'LASTVOTERDATE', \\\n",
    "              'PREVYEARVOTED', 'PREVCOUNTY', 'PREVADDRESS', 'PREVNAME', \\\n",
    " 'COUNTYVRNUMBER', 'REGDATE', 'VRSOURCE', 'IDREQUIRED', \\\n",
    "              'IDMET', 'STATUS', 'REASONCODE', 'INACT_DATE', 'PURGE_DATE', 'SBOEID', \\\n",
    "'VoterHistory']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the chunk method (since the voter roll data is so large), extract only the voter data that corresponds to NYC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
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   ],
   "source": [
    "nyc_df_list = []\n",
    "all_ny = []\n",
    "for data_chunk in boe_current_voter_data_url2:\n",
    "    print(data_chunk.shape)\n",
    "    data_chunk = data_chunk.apply(lambda s:s.str.replace('\"', \"\"))\n",
    "    data_chunk.columns = header_row\n",
    "    all_ny.append(data_chunk)\n",
    "    #these county codes correspond to the different boroughs in NYC. Check the voter file\n",
    "    nyc_this = data_chunk[data_chunk['COUNTYCODE'].isin(['03', '24', '31', '41', '43'])]\n",
    "    if nyc_this.shape[0] != 0:\n",
    "        print(\"**\")\n",
    "        print(nyc_this.shape)\n",
    "        nyc_df_list.append(nyc_this)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
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      ]
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     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(nyc_df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc_dfs = pd.concat(nyc_df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
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     "data": {
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       "(7767470, 47)"
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     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "nyc_dfs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24    2319338\n",
       "41    1925617\n",
       "31    1854451\n",
       "03    1215039\n",
       "43     453025\n",
       "Name: COUNTYCODE, dtype: int64"
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_dfs['COUNTYCODE'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.2 Clean the voter registration data and select only the most important columns for geocoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [],
   "source": [
    "#select only those columns for geocoding that are relevant.\n",
    "\n",
    "nyc_dfs = nyc_dfs[['LASTNAME', 'FIRSTNAME', 'MIDDLENAME', 'RADDNUMBER', 'RSTREETNAME', 'RCITY', 'RZIP5', \\\n",
    "        'DOB', 'GENDER', 'ENROLLMENT', 'COUNTYCODE', 'ED', 'LD', 'CD', 'SD', 'AD', 'COUNTYVRNUMBER', \\\n",
    "                   'LASTVOTERDATE', 'STATUS', 'SBOEID', 'VoterHistory']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A     4626603\n",
       "P     2597264\n",
       "I      479134\n",
       "AF      33311\n",
       "17      15897\n",
       "AU      13419\n",
       "AM       1842\n",
       "Name: STATUS, dtype: int64"
      ]
     },
     "execution_count": 280,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_dfs['STATUS'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": [
    "#select only active voters (i.e. remove the ianctive and purged votersS)\n",
    "nyc_dfs_only_active = nyc_dfs[~nyc_dfs['STATUS'].isin(['P', 'I', '17'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc_dfs_only_active.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_data(voter_df):\n",
    "    '''\n",
    "    Remove the white spaces or clunky characters from all columns.\n",
    "    '''\n",
    "    \n",
    "    #remove whhitespaces\n",
    "    data_frame_trimmed = voter_df.apply(lambda x: x.str.strip() if x.dtype == \"object\" else x)\n",
    "    # regex (won't affect valid data i.e. data that contains white space in the middle)\n",
    "    \n",
    "    # replace \"\" with NaN to indicate missing vlaues\n",
    "    data_frame_trimmed_with_nan = data_frame_trimmed.replace(r'^\\s+$', np.nan, regex=True).replace('',np.nan)\n",
    "    \n",
    "    return data_frame_trimmed_with_nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc_dfs_only_active_clean = clean_data(nyc_dfs_only_active)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "nyc_dfs_only_active_clean.iloc[:,:].to_csv(\"M:/BOE Voter Registration Data/May 2022/AllNYSVoters_20220502_only_nyc_all_cols.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.3 We'll only geocode voters that have been added over the existing/prior geocoded records we have. Subtract voters that are no longer active. And add voters that are new. Geocode for these new voters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def voters_difference_as_compared_to_last_voter_file(current_voter_data, last_voter_data):\n",
    "    '''\n",
    "    Identify how many people have been added and lost over time. \n",
    "    Then remove voters lost over time and add voters added over the last available voter file in NYC.\n",
    "    \n",
    "    '''\n",
    "    \n",
    "    #add/geocode this\n",
    "    voters_in_current_not_in_old = current_voter_data[~current_voter_data['county_ems_ID'].isin(last_voter_data['county_ems_ID'])]\n",
    "    print(voters_in_current_not_in_old.shape)\n",
    "    \n",
    "    #remove this from the final dataset\n",
    "    voters_in_old_not_in_current = last_voter_data[~last_voter_data['county_ems_ID'].isin(current_voter_data['county_ems_ID'])]\n",
    "    print(voters_in_old_not_in_current.shape)\n",
    "    \n",
    "    #voters in both datasets\n",
    "    voters_in_both_data = current_voter_data[current_voter_data['county_ems_ID'].isin(last_voter_data['county_ems_ID'])]\n",
    "    print(voters_in_both_data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Exploratory Data Analysis / QA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['LASTNAME', 'FIRSTNAME', 'MIDDLENAME', 'RADDNUMBER', 'RSTREETNAME',\n",
       "       'RCITY', 'RZIP5', 'DOB', 'GENDER', 'ENROLLMENT', 'COUNTYCODE', 'ED',\n",
       "       'LD', 'CD', 'SD', 'AD', 'LASTVOTERDATE', 'STATUS', 'SBOEID',\n",
       "       'VoterHistory'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_dfs_only_active_clean.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#check that all registered voters are unique"
   ]
  },
  {
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   "execution_count": 108,
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     "execution_count": 108,
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   ],
   "source": [
    "nyc_dfs_only_active_clean.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
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     "execution_count": 18,
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    }
   ],
   "source": [
    "nyc_voter_regis_data_clean['county_ems_ID'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "R    4748116\n",
       "H      55888\n",
       "P      50489\n",
       "F      35694\n",
       "U      15301\n",
       "M       2341\n",
       "         158\n",
       "E         35\n",
       "O          9\n",
       "A          3\n",
       "Name: voter_type, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_voter_regis_data_clean['voter_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DEM    4232\n",
       "BLK    2646\n",
       "REP     974\n",
       "OTH     316\n",
       "WOR     240\n",
       "CON     117\n",
       "IND      83\n",
       "GRE      11\n",
       "LBT       5\n",
       "Name: future_party, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_voter_regis_data_clean['future_party'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A     4856912\n",
       "AF      34525\n",
       "AU      14238\n",
       "AM       2198\n",
       "2A         20\n",
       "3A         20\n",
       "5A         19\n",
       "0A         18\n",
       "1A         17\n",
       "4A         16\n",
       "8A         15\n",
       "9A         14\n",
       "6A         12\n",
       "7A          7\n",
       "17          2\n",
       "06          1\n",
       "Name: status_code, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_voter_regis_data_clean['status_code'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "percent_missing = (nyc_dfs_only_active_clean.isnull().sum() / len(nyc_dfs_only_active_clean))*100\n",
    "\n",
    "percent_missing_df = percent_missing.reset_index(name='% of missing values')\n",
    "percent_missing_df['Number of values'] = nyc_dfs_only_active_clean.isnull().sum().reset_index()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "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>index</th>\n",
       "      <th>% of missing values</th>\n",
       "      <th>Number of values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LASTNAME</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FIRSTNAME</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MIDDLENAME</td>\n",
       "      <td>38.460550</td>\n",
       "      <td>1798098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RADDNUMBER</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RSTREETNAME</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>RCITY</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RZIP5</td>\n",
       "      <td>0.000599</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DOB</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GENDER</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ENROLLMENT</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>COUNTYCODE</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ED</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>LD</td>\n",
       "      <td>99.999872</td>\n",
       "      <td>4675169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CD</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SD</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AD</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>LASTVOTERDATE</td>\n",
       "      <td>19.110493</td>\n",
       "      <td>893449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>STATUS</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SBOEID</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>VoterHistory</td>\n",
       "      <td>19.115541</td>\n",
       "      <td>893685</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            index  % of missing values  Number of values\n",
       "0        LASTNAME             0.000000                 0\n",
       "1       FIRSTNAME             0.000000                 0\n",
       "2      MIDDLENAME            38.460550           1798098\n",
       "3      RADDNUMBER             0.000000                 0\n",
       "4     RSTREETNAME             0.000000                 0\n",
       "5           RCITY             0.000000                 0\n",
       "6           RZIP5             0.000599                28\n",
       "7             DOB             0.000000                 0\n",
       "8          GENDER             0.000000                 0\n",
       "9      ENROLLMENT             0.000000                 0\n",
       "10     COUNTYCODE             0.000000                 0\n",
       "11             ED             0.000000                 0\n",
       "12             LD            99.999872           4675169\n",
       "13             CD             0.000000                 0\n",
       "14             SD             0.000000                 0\n",
       "15             AD             0.000000                 0\n",
       "16  LASTVOTERDATE            19.110493            893449\n",
       "17         STATUS             0.000000                 0\n",
       "18         SBOEID             0.000000                 0\n",
       "19   VoterHistory            19.115541            893685"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percent_missing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A     4626603\n",
       "AF      33311\n",
       "AU      13419\n",
       "AM       1842\n",
       "Name: STATUS, dtype: int64"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_dfs_only_active_clean['STATUS'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "####  Range of values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unique_values(dataset):\n",
    "    '''\n",
    "    Identify unique values, min and max for all columns in a given dataset.\n",
    "    '''\n",
    "    \n",
    "    column_names = []\n",
    "    column_unique_values_list = []\n",
    "    column_unique_values_count = []\n",
    "    column_min_values = []\n",
    "    column_max_values = []\n",
    "\n",
    "    for column_name in dataset.columns:\n",
    "        \n",
    "        groupby_df = dataset.groupby([column_name]).size().reset_index()\n",
    "\n",
    "        groupby_df_list = groupby_df[column_name].tolist()\n",
    "\n",
    "        column_names.append(column_name)\n",
    "        column_unique_values_list.append(groupby_df_list)\n",
    "        column_unique_values_count.append(len(groupby_df_list))\n",
    "        \n",
    "        # add the min and max values as well\n",
    "\n",
    "        column_min_values.append(min(groupby_df_list))\n",
    "        column_max_values.append(max(groupby_df_list))\n",
    "    \n",
    "    c1_active_emp_unique_column_values = pd.DataFrame({'Column' : column_names, 'List of Unique Values' : column_unique_values_list, 'Number of Unique Values' : column_unique_values_count, 'Min Value' : column_min_values, 'Max Value' : column_max_values})\n",
    "    \n",
    "    return c1_active_emp_unique_column_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "unique_values(nyc_dfs_only_active_clean.iloc[:, :])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Geocoding Addresses using Geosupport Desktop to Get Census Tracts and ED Information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "1B (address)\n",
      "========================================\n",
      "Function 1B processes an input address or input Non-Addressable Place name (NAP) (see Chapter III.6).  Function 1B returns information about the blockface as well as information about the tax lot and the building (if any) identified by the input address or NAP. The information that is returned includes the cross streets at the two intersections delimiting the blockface, and a set of geographic district identifiers including ZIP code, census tract and community district. Information about the tax lot and the building (if any) identified by the input address or NAP is also returned. This information includes the Borough, Block, and, Lot (BBL), which is the Department of Finance's (DOF) identifier for the tax lot; the DOF building class code; the number of buildings on the lot; the number of street frontages of the lot; a flag indicating whether the lot is a condominium; and the Building Identification Number (BIN) (see Chapter VI.3) of the building identified by the input address\n",
      "\n",
      "Input: Address or NAP\n",
      "Output: Same as for Function 1E + Property Level Information from Function 1A + Street Names for Cross Streets and Address Lists\n",
      "Modes: regular\n",
      "\n",
      "Inputs\n",
      "========================================\n",
      "Borough Code-1 (or ZIP Code) - Required. (ZIP Code may be used instead of Borough Code)\n",
      "Street-1 - Required.\n",
      "SNL - Optional; default is 32. SeeÂ Chapter III.2.\n",
      "Street Name Normalization Format Flag - Optional; default (blank) requests sort format. SeeÂ Chapter III.3.\n",
      "ZIP Code - Optional; may be used instead of Borough Code, or to identify a DAPS. SeeÂ Chapter III.6Â andÂ Chapter V.6.\n",
      "Browse Flag - Optional; may be used to select output street name / code. Default (blank) requests use of input street name / code. SeeÂ Chapter III.8\n",
      "\n",
      "Reference\n",
      "========================================\n",
      "https://nycplanning.github.io/Geosupport-UPG/appendices/appendix01/#function-1b\n",
      "https://nycplanning.github.io/Geosupport-UPG/appendices/appendix13/#work-area-2-cow-function-1b\n",
      "\n"
     ]
    }
   ],
   "source": [
    "g.help('address')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4675175, 20)"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nyc_dfs_only_active_clean.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_client_df_list_combine_lists_boroughs = []\n",
    "bad_rows_list = []\n",
    "\n",
    "for borocode_ in nyc_dfs_only_active_clean['COUNTYCODE'].unique().tolist():\n",
    "    \n",
    "    start_time = time.time()\n",
    "\n",
    "    print(borocode_)\n",
    "\n",
    "    this_boro_boe_voter_data_final = nyc_dfs_only_active_clean[nyc_dfs_only_active_clean['COUNTYCODE'] == borocode_]\n",
    "    print(\"Number of rows, columns in this borough: \", this_boro_boe_voter_data_final.shape)\n",
    "    \n",
    "    #call the Geosupport API and collect the response\n",
    "    geo_client_df_list = []\n",
    "\n",
    "    for idx, address in this_boro_boe_voter_data_final.iloc[:,:].iterrows():\n",
    "        #print(address[0])\n",
    "\n",
    "        housenumber = address['RADDNUMBER']\n",
    "        #print(housenumber)\n",
    "        str_name = address['RSTREETNAME']\n",
    "        borough = address['RCITY'] \n",
    "        zipcode = address['RZIP5']\n",
    "\n",
    "        # Call the address processing function by name\n",
    "        \n",
    "        try:\n",
    "            result = g.address(house_number=housenumber, street_name=str_name, zip_code=zipcode)\n",
    "            geo_client_df = pd.DataFrame(result.items())\n",
    "            geoclient_df_transformed = geo_client_df.T\n",
    "            geoclient_df_transformed.columns = geoclient_df_transformed.iloc[0]\n",
    "            #drop the duplicate header row\n",
    "            geoclient_df_transformed = geoclient_df_transformed.drop(geoclient_df_transformed.index[0])\n",
    "            geoclient_df_transformed[0] = address[0]\n",
    "            truncated_geoclient_df_transformed = geoclient_df_transformed[['2020 Census Tract', \\\n",
    "                                                                           '2010 Census Tract', \\\n",
    "                                                                           'Election District', 'Assembly District', \\\n",
    "                                                                           'City Council District', \\\n",
    "                                                                           'Neighborhood Tabulation Area (NTA)', \\\n",
    "                                                                           'COMMUNITY DISTRICT', \\\n",
    "                                                                           '2020 Neighborhood Tabulation Area (NTA)',\\\n",
    "                                                                           '2020 Community District Tabulation Area (CDTA)',\\\n",
    "                                                                           'First Borough Name']]\n",
    "            boe_address = pd.DataFrame(address).T\n",
    "            \n",
    "            truncated_geoclient_df_transformed = \\\n",
    "                    pd.concat([truncated_geoclient_df_transformed.reset_index(drop=True),\\\n",
    "                               boe_address.reset_index(drop=True)],axis=1)\n",
    "            \n",
    "            geo_client_df_list.append(truncated_geoclient_df_transformed)\n",
    "        \n",
    "        except GeosupportError as e:\n",
    "            bad_rows_list.append(address[0])\n",
    "    \n",
    "    print(\"--- %s seconds ---\" % (time.time() - start_time))\n",
    "    geo_client_df_list_combine = pd.concat(geo_client_df_list)\n",
    "    geo_client_df_list_combine = geo_client_df_list_combine.reset_index(drop=True)\n",
    "    geo_client_df_list_combine_lists_boroughs.append(geo_client_df_list_combine)\n",
    "    \n",
    "    geo_client_df_list_combine.to_csv(\"M:/BOE Voter Registration Data/\" + month_of_data_received + \"/\" + \\\n",
    "                                              borocode_ + \"-voterdata-geocoded.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Finalize the Geocoded Voter Registration Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### MAY 16th 2022 voter registration data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "brooklyn_geocoded = pd.read_csv(export_url + month_of_data_received +'/borough_level_geocoded_data/24-voterdata-geocoded.csv')\n",
    "\n",
    "bronx_geocoded = pd.read_csv(export_url + month_of_data_received +'/borough_level_geocoded_data/3-voterdata-geocoded.csv')\n",
    "\n",
    "manhattan_geocoded = pd.read_csv(export_url + month_of_data_received +'/borough_level_geocoded_data/31-voterdata-geocoded.csv')\n",
    "\n",
    "queens_geocoded = pd.read_csv(export_url + month_of_data_received +'/borough_level_geocoded_data/41-voterdata-geocoded.csv')\n",
    "\n",
    "staten_island_geocoded = pd.read_csv(export_url + month_of_data_received +'/borough_level_geocoded_data/43-voterdata-geocoded.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_concat = pd.concat([staten_island_geocoded, bronx_geocoded, manhattan_geocoded, brooklyn_geocoded, queens_geocoded])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4674958, 20)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_concat.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BROOKLYN     1456604\n",
       "QUEENS       1211265\n",
       "MANHATTAN     971630\n",
       "BRONX         729133\n",
       "STATEN IS     306326\n",
       "Name: First Borough Name, dtype: int64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_concat['First Borough Name'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_concat['boro_code'] = 0\n",
    "\n",
    "all_boros_concat.loc\\\n",
    "[all_boros_concat['First Borough Name'] == 'BRONX', 'boro_code'] = 5\n",
    "\n",
    "all_boros_concat.loc\\\n",
    "[all_boros_concat['First Borough Name'] == 'BROOKLYN', 'boro_code'] = 47\n",
    "\n",
    "all_boros_concat.loc\\\n",
    "[all_boros_concat['First Borough Name'] == 'QUEENS', 'boro_code'] = 81\n",
    "\n",
    "all_boros_concat.loc\\\n",
    "[all_boros_concat['First Borough Name'] == 'STATEN IS', 'boro_code'] = 85\n",
    "\n",
    "all_boros_concat.loc\\\n",
    "[all_boros_concat['First Borough Name'] == 'MANHATTAN', 'boro_code'] = 61"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "First Borough Name  boro_code\n",
       "BRONX               5             729133\n",
       "BROOKLYN            47           1456604\n",
       "MANHATTAN           61            971630\n",
       "QUEENS              81           1211265\n",
       "STATEN IS           85            306326\n",
       "dtype: int64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_concat.groupby(['First Borough Name', 'boro_code']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', '2020 Census Tract', '2010 Census Tract',\n",
       "       'Election District', 'Assembly District', 'City Council District',\n",
       "       'Neighborhood Tabulation Area (NTA)', 'COMMUNITY DISTRICT',\n",
       "       '2020 Neighborhood Tabulation Area (NTA)',\n",
       "       '2020 Community District Tabulation Area (CDTA)', 'First Borough Name',\n",
       "       'Unnamed: 0.1', 'COUNTYVRNUMBER', 'RADDNUMBER', 'RSTREETNAME', 'RCITY',\n",
       "       'RZIP5', 'ED', 'AD', 'COUNTYCODE', 'boro_code'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_concat.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "#add geocoded columns to make it consistent with the big dataset\n",
    "\n",
    "all_boros_concat['AssemblyDistrict_Geo'] = all_boros_concat['Assembly District']\n",
    "all_boros_concat['ElectionDistrict_Geo'] = all_boros_concat['Election District']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Clean the Geocoded Voter Registration Data and Compute the Tract to Election District Ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "def import_and_clean_data_per_borough(geocoded_data):\n",
    "    '''\n",
    "    Clean by combining ED and AD together in a single column.\n",
    "    '''\n",
    "    \n",
    "    # clean the voter registration data (e.g. lots of whitespace, replace empty values with NaN to indicate its a missing value)\n",
    "    geocoded_data_clean = clean_data(geocoded_data)\n",
    "    \n",
    "    print(\"pre cleaned number of rows: \", geocoded_data.shape)\n",
    "    \n",
    "    # # first remove the nan's from the census tract col i.e. voter data that didn't allow geocoder to return NaN (why?)\n",
    "    print(\"missing values in the geocoded censustract column: \", \\\n",
    "          geocoded_data_clean[geocoded_data_clean['2020 Census Tract'].isna()].shape)\n",
    "    \n",
    "    geocoded_data_not_null = geocoded_data_clean[~geocoded_data_clean['2020 Census Tract'].isna()]\n",
    "    \n",
    "    geocoded_data_not_null_electionDistrict = geocoded_data_not_null[~geocoded_data_not_null['ElectionDistrict_Geo'].isna()]\n",
    "    \n",
    "    geocoded_data_not_null_assembly_electionDistrict = geocoded_data_not_null_electionDistrict[\\\n",
    "                                                            ~geocoded_data_not_null_electionDistrict['AssemblyDistrict_Geo'].isna()]\n",
    "    \n",
    "    print(\"post cleaned number of rows: \", geocoded_data_not_null_assembly_electionDistrict.shape)\n",
    "    \n",
    "    print(\"missing values in electiondistrict_geo \", geocoded_data_not_null['ElectionDistrict_Geo'].isnull().sum())\n",
    "    print(\"missing values in assemblydistrict_geo \", geocoded_data_not_null['AssemblyDistrict_Geo'].isnull().sum())\n",
    "    \n",
    "    print(\"missing values in electiondistrict_BOE \", geocoded_data_not_null['ED'].isnull().sum())\n",
    "    print(\"missing values in assemblydistrict_BOE \", geocoded_data_not_null['AD'].isnull().sum())\n",
    "    \n",
    "    # now combine th ED and AD to form the ED's\n",
    "    #first ensure there are leading zeros in both election districts and assembly districts\n",
    "    geocoded_data_not_null_assembly_electionDistrict['electionDistrict_geo_clean'] = geocoded_data_not_null_assembly_electionDistrict['ElectionDistrict_Geo'].astype(int).astype(str).str.zfill(3)\n",
    "    geocoded_data_not_null_assembly_electionDistrict['assemblyDistrict_geo_clean'] = geocoded_data_not_null_assembly_electionDistrict['AssemblyDistrict_Geo'].astype(int).astype(str).str.zfill(2)\n",
    "    \n",
    "    geocoded_data_not_null_assembly_electionDistrict['ED_BOE'] = geocoded_data_not_null_assembly_electionDistrict['assemblyDistrict_geo_clean'].astype(str) \\\n",
    "                + geocoded_data_not_null_assembly_electionDistrict['electionDistrict_geo_clean'].astype(str)\n",
    "    geocoded_data_not_null_assembly_electionDistrict['ED_BOE'] = geocoded_data_not_null_assembly_electionDistrict['ED_BOE'].astype(int)\n",
    "    \n",
    "    \n",
    "    #convert the BOE ED's and AD's into int\n",
    "    geocoded_data_not_null_assembly_electionDistrict['ED'] = geocoded_data_not_null_assembly_electionDistrict['ED'].astype(int)\n",
    "    geocoded_data_not_null_assembly_electionDistrict['AD'] = geocoded_data_not_null_assembly_electionDistrict['AD'].astype(int)\n",
    "    \n",
    "    \n",
    "    print(\"Number of rows where ED from Geocoder is not equivalent to ED from BOE: \", \\\n",
    "          geocoded_data_not_null_assembly_electionDistrict[geocoded_data_not_null_assembly_electionDistrict['ED'] \\\n",
    "                        != geocoded_data_not_null_assembly_electionDistrict['Election District']].shape[0])\n",
    "    print(\"Number of rows where AD from Geocoder is not equivalent to AD from BOE: \", \\\n",
    "          geocoded_data_not_null_assembly_electionDistrict[geocoded_data_not_null_assembly_electionDistrict['AD'] \\\n",
    "                            != geocoded_data_not_null_assembly_electionDistrict['Assembly District']].shape[0])\n",
    "    print(\"If the number is small enough then don't do anything. Otherwise remove these rows.\") \n",
    "    \n",
    "    return geocoded_data_not_null_assembly_electionDistrict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_tract_to_ed_ratio_and_merge_pollsite_info(geocoded_data_not_null):\n",
    "    '''\n",
    "    Calculate the 2020 tract to current election district ratio i.e. \n",
    "    what percent of voters in a census tract currently reside in the election district for that tract.\n",
    "    '''\n",
    "    \n",
    "    #first groupby at the ED level to calculate the total number of ED voters for each tract (i.e. NUMERATOR)\n",
    "    \n",
    "    tract_to_ed_number = geocoded_data_not_null.groupby(['boro_code', 'First Borough Name', '2020 Census Tract', 'ED_BOE'])\\\n",
    "                .size().reset_index(name='ED_number_voters')\n",
    "    \n",
    "    tract_to_ed_number['censusTract2020_num_voters'] = 0\n",
    "    \n",
    "    # now, find tract to ED ratio\n",
    "    print(tract_to_ed_number['2020 Census Tract'].nunique())\n",
    "    \n",
    "    #for each borough\n",
    "    for boro in tract_to_ed_number['First Borough Name'].unique():\n",
    "        this_boro = tract_to_ed_number[tract_to_ed_number['First Borough Name'] == boro]\n",
    "            \n",
    "        #for each tract in that borough, find sum/number of voters (all) in that CENSUS TRACT (i.e. DENOMINATOR)\n",
    "        for tract in this_boro['2020 Census Tract'].unique():\n",
    "            this_tract_df = this_boro[this_boro['2020 Census Tract'] == tract]\n",
    "            tract_sum = this_tract_df.groupby(['2020 Census Tract'])['ED_number_voters'].sum().tolist()[0]\n",
    "            \n",
    "            #put that number in the df \n",
    "            tract_to_ed_number.loc[((tract_to_ed_number['First Borough Name'] == boro) &\\\n",
    "                                    (tract_to_ed_number['2020 Census Tract'] == tract)), \\\n",
    "                                   'censusTract2020_num_voters'] = tract_sum\n",
    "    \n",
    "    #calculate the tract to ed ratio (i.e. in this tract and the ED that overlaps it, how many voters from THIS ED comprises of voters in THIS census tract)\n",
    "    #this ratio would be used to later assign the CVALEP data from the census tracts to the ED level\n",
    "    tract_to_ed_number['tract_to_ed_ratio'] = tract_to_ed_number['ED_number_voters'] / \\\n",
    "                    tract_to_ed_number['censusTract2020_num_voters']\n",
    "    \n",
    "    tract_to_ed_number['ED_BOE'] = tract_to_ed_number['ED_BOE'].astype(int)\n",
    "    \n",
    "    tract_to_ed_number['First Borough Name'] = tract_to_ed_number['First Borough Name'].str.title()\n",
    "    \n",
    "    return tract_to_ed_number"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1 Clean the Geocoded Voter Registration Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre cleaned number of rows:  (4674958, 23)\n",
      "missing values in the geocoded censustract column:  (0, 23)\n",
      "post cleaned number of rows:  (4674958, 23)\n",
      "missing values in electiondistrict_geo  0\n",
      "missing values in assemblydistrict_geo  0\n",
      "missing values in electiondistrict_BOE  0\n",
      "missing values in assemblydistrict_BOE  0\n",
      "Number of rows where ED from Geocoder is not equivalent to ED from BOE:  63\n",
      "Number of rows where AD from Geocoder is not equivalent to AD from BOE:  52\n",
      "If the number is small enough then don't do anything. Otherwise remove these rows.\n"
     ]
    }
   ],
   "source": [
    "all_boros_concat_clean = import_and_clean_data_per_borough(all_boros_concat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_concat_clean = all_boros_concat_clean.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4674958, 26)"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_concat_clean.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_concat_clean.to_csv(export_url + \"/Voter Registration Datasets-Final Geocoded/all_boros_geocoded\" + ' ' \\\n",
    "                            + month_of_data_received+\".csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2 Compute the tract-to-election district ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1497\n"
     ]
    }
   ],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged = create_tract_to_ed_ratio_and_merge_pollsite_info(all_boros_concat_clean.iloc[:,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7473, 7)"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "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>boro_code</th>\n",
       "      <th>First Borough Name</th>\n",
       "      <th>2020 Census Tract</th>\n",
       "      <th>ED_BOE</th>\n",
       "      <th>ED_number_voters</th>\n",
       "      <th>censusTract2020_num_voters</th>\n",
       "      <th>tract_to_ed_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>200</td>\n",
       "      <td>85002</td>\n",
       "      <td>802</td>\n",
       "      <td>2702</td>\n",
       "      <td>0.296817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>200</td>\n",
       "      <td>85003</td>\n",
       "      <td>780</td>\n",
       "      <td>2702</td>\n",
       "      <td>0.288675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>200</td>\n",
       "      <td>85004</td>\n",
       "      <td>1120</td>\n",
       "      <td>2702</td>\n",
       "      <td>0.414508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>400</td>\n",
       "      <td>85001</td>\n",
       "      <td>1295</td>\n",
       "      <td>3557</td>\n",
       "      <td>0.364071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>400</td>\n",
       "      <td>85002</td>\n",
       "      <td>650</td>\n",
       "      <td>3557</td>\n",
       "      <td>0.182738</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   boro_code First Borough Name  2020 Census Tract  ED_BOE  ED_number_voters  \\\n",
       "0          5              Bronx                200   85002               802   \n",
       "1          5              Bronx                200   85003               780   \n",
       "2          5              Bronx                200   85004              1120   \n",
       "3          5              Bronx                400   85001              1295   \n",
       "4          5              Bronx                400   85002               650   \n",
       "\n",
       "   censusTract2020_num_voters  tract_to_ed_ratio  \n",
       "0                        2702           0.296817  \n",
       "1                        2702           0.288675  \n",
       "2                        2702           0.414508  \n",
       "3                        3557           0.364071  \n",
       "4                        3557           0.182738  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Brooklyn     2603\n",
       "Queens       2066\n",
       "Manhattan    1249\n",
       "Bronx        1112\n",
       "Staten Is     443\n",
       "Name: First Borough Name, dtype: int64"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged['First Borough Name'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Analyze the missing ED's in the BOE's voter registration data. (Usually they are missing because voters don't live there (water areas), voters are purged from those areas etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7473, 8)"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = all_boros_tract_to_ed_and_poll_merged.groupby(['First Borough Name', '2020 Census Tract'])['tract_to_ed_ratio'].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "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>First Borough Name</th>\n",
       "      <th>2020 Census Tract</th>\n",
       "      <th>tract_to_ed_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>8700</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   First Borough Name  2020 Census Tract  tract_to_ed_ratio\n",
       "59              Bronx               8700                1.0"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k[k['tract_to_ed_ratio'] > 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "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>First Borough Name</th>\n",
       "      <th>2020 Census Tract</th>\n",
       "      <th>tract_to_ed_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [First Borough Name, 2020 Census Tract, tract_to_ed_ratio]\n",
       "Index: []"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k[k['tract_to_ed_ratio'] < 0.99]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Are we missing any election districts from the voter registration data?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "import the data from BOE on the election districts open data portal and then identify how many election districts are missing from the voter registration data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fahmed\\Anaconda3\\lib\\site-packages\\pyproj\\crs\\crs.py:130: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n",
      "C:\\Users\\fahmed\\Anaconda3\\lib\\site-packages\\pyproj\\crs\\crs.py:130: FutureWarning: '+init=<authority>:<code>' syntax is deprecated. '<authority>:<code>' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n",
      "  in_crs_string = _prepare_from_proj_string(in_crs_string)\n"
     ]
    }
   ],
   "source": [
    "#source: https://gis.stackexchange.com/questions/225586/reading-raw-data-into-geopandas\n",
    "import fiona\n",
    "# parse the topojson file into memory\n",
    "request = requests.get('https://data.cityofnewyork.us/api/geospatial/wwxk-38u4?method=export&format=GeoJSON')\n",
    "visz = fiona.ogrext.buffer_to_virtual_file(bytes(request.content))\n",
    "\n",
    "# read the features from a fiona collection into a GeoDataFrame\n",
    "with fiona.Collection(visz, driver='GeoJSON') as f:\n",
    "    ed_nyc_od_gpd = geopandas.GeoDataFrame.from_features(f, crs=f.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4327, 4)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ed_nyc_od_gpd.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged = pd.read_csv(export_url+'May 2022/Tract to ED Ratio All Boros - May 2022.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EDs in the geocoded voter registration file\n",
      "3977\n",
      "EDs in the ED shapefile on open data portal\n",
      "4327\n",
      "EDs common between the ED shapefile on the open data portal and the geocoded voter regis file\n",
      "3977\n",
      "EDs in the shapefile BUT not in the geocoded file (Note: if the number is between 0 and 20, all good as that could indicate water area EDs. Otherwise investigate.)\n",
      "350\n"
     ]
    }
   ],
   "source": [
    "print(\"EDs in the geocoded voter registration file\")\n",
    "print(all_boros_tract_to_ed_and_poll_merged['ED_BOE'].nunique())\n",
    "\n",
    "print(\"EDs in the ED shapefile on open data portal\")\n",
    "print(ed_nyc_od_gpd.shape[0])\n",
    "\n",
    "print(\"EDs common between the ED shapefile on the open data portal and the geocoded voter regis file\")\n",
    "print(ed_nyc_od_gpd[ed_nyc_od_gpd['elect_dist'].astype(int).isin(all_boros_tract_to_ed_and_poll_merged['ED_BOE'].unique().tolist())].shape[0])\n",
    "\n",
    "print(\"EDs in the shapefile BUT not in the geocoded file (Note: if the number is between 0 and 20, all good as that could indicate water area EDs. Otherwise investigate.)\")\n",
    "print(ed_nyc_od_gpd[~ed_nyc_od_gpd['elect_dist'].astype(int).isin(all_boros_tract_to_ed_and_poll_merged['ED_BOE'].unique().tolist())].shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### where are these missing ED's located?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing_ed = ed_nyc_od_gpd[~ed_nyc_od_gpd['elect_dist'].astype(int).isin(all_boros_tract_to_ed_and_poll_merged['ED_BOE'].unique().tolist())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(350, 4)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_ed.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing_ed.to_csv(export_url+'May 2022/missing_eds_in_voter_regis_nyc.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 12))\n",
    "\n",
    "ax.set_aspect('equal')\n",
    "\n",
    "\n",
    "ed_nyc_od_gpd.plot(ax=ax, facecolor='white', edgecolor='g',  linewidth=0.75, alpha=0.4)\n",
    "missing_ed.plot(ax=ax, color='white', edgecolor='black', linewidth=0.75, alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "turns out the above missing EDs from the geocoded voter registration data is because of two reasons:\n",
    "- no one lives in the water areas.\n",
    "- about 70k voters who reside in these EDs were purged from the NYC's voter roll as of May 2022, and are classified as 'inactive' voters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [],
   "source": [
    "#change to the fullform of the staten island (within the voter registration data)\n",
    "all_boros_tract_to_ed_and_poll_merged['First Borough Name'] = all_boros_tract_to_ed_and_poll_merged['First Borough Name']\\\n",
    "                .replace(\"Staten Is\", \"Staten Island\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_boros_tract_to_ed_and_poll_merged.to_csv(export_url + month_of_data_received+\"/Tract to ED Ratio All Boros - \" +month_of_data_received+ \".csv\")"
   ]
  }
 ],
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