US_County_Level_Presidential_Results_12-16.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from bs4 import BeautifulSoup # for scraping 2016 results\n",
    "import urllib.request as urllib2\n",
    "from collections import Counter\n",
    "import vincent # for visualizations\n",
    "import json\n",
    "# vincent.core.initialize_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 12:15:08) \n",
      "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)]\n"
     ]
    }
   ],
   "source": [
    "# using Python 3.5 for this project\n",
    "import sys\n",
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Flow\n",
    "\n",
    "- [Download and preprocess county-level results for 2012](#Guardian-data)\n",
    "- [Download and preprocess county-level results for 2016](#Townhall-data)\n",
    "- [Download and preprocess county-level metadata](#Census-data)\n",
    "- [Combine datasets](#Combine-data)\n",
    "- [Export county-level results](#Export-data)\n",
    "- [Visualize](#Visualize-data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Guardian data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING *** file size (3825153) not 512 + multiple of sector size (512)\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Postal</th>\n",
       "      <th>FIPS Code</th>\n",
       "      <th>County Name</th>\n",
       "      <th>TOTAL VOTES CAST</th>\n",
       "      <th>Party</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Party.1</th>\n",
       "      <th>Votes.1</th>\n",
       "      <th>Party.2</th>\n",
       "      <th>Votes.2</th>\n",
       "      <th>Party.3</th>\n",
       "      <th>Votes.3</th>\n",
       "      <th>Party.4</th>\n",
       "      <th>Votes.4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AK</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>220596</td>\n",
       "      <td>Dem</td>\n",
       "      <td>91696</td>\n",
       "      <td>GOP</td>\n",
       "      <td>121234</td>\n",
       "      <td>Lib</td>\n",
       "      <td>5539.0</td>\n",
       "      <td>Grn</td>\n",
       "      <td>2127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AK</td>\n",
       "      <td>2000</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>220596</td>\n",
       "      <td>Dem</td>\n",
       "      <td>91696</td>\n",
       "      <td>GOP</td>\n",
       "      <td>121234</td>\n",
       "      <td>Lib</td>\n",
       "      <td>5539.0</td>\n",
       "      <td>Grn</td>\n",
       "      <td>2127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AL</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>2064699</td>\n",
       "      <td>Dem</td>\n",
       "      <td>793620</td>\n",
       "      <td>GOP</td>\n",
       "      <td>1252453</td>\n",
       "      <td>Ind</td>\n",
       "      <td>2961.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>12283.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>3382.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AL</td>\n",
       "      <td>1001</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>23909</td>\n",
       "      <td>Dem</td>\n",
       "      <td>6354</td>\n",
       "      <td>GOP</td>\n",
       "      <td>17366</td>\n",
       "      <td>Ind</td>\n",
       "      <td>31.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>136.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>1003</td>\n",
       "      <td>Baldwin</td>\n",
       "      <td>84988</td>\n",
       "      <td>Dem</td>\n",
       "      <td>18329</td>\n",
       "      <td>GOP</td>\n",
       "      <td>65772</td>\n",
       "      <td>Ind</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>597.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>168.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  State Postal FIPS Code County Name  TOTAL VOTES CAST Party   Votes Party.1  \\\n",
       "0           AK         0      Alaska            220596   Dem   91696     GOP   \n",
       "1           AK      2000      Alaska            220596   Dem   91696     GOP   \n",
       "2           AL         0     Alabama           2064699   Dem  793620     GOP   \n",
       "3           AL      1001     Autauga             23909   Dem    6354     GOP   \n",
       "4           AL      1003     Baldwin             84988   Dem   18329     GOP   \n",
       "\n",
       "   Votes.1 Party.2  Votes.2 Party.3  Votes.3 Party.4  Votes.4  \n",
       "0   121234     Lib   5539.0     Grn   2127.0     NaN      NaN  \n",
       "1   121234     Lib   5539.0     Grn   2127.0     NaN      NaN  \n",
       "2  1252453     Ind   2961.0     Ind  12283.0     Ind   3382.0  \n",
       "3    17366     Ind     31.0     Ind    136.0     Ind     22.0  \n",
       "4    65772     Ind    122.0     Ind    597.0     Ind    168.0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import Guardian data\n",
    "# https://www.theguardian.com/news/datablog/2012/nov/07/us-2012-election-county-results-download#data\n",
    "# NOTE: xlrd package needed (not installed by deafault) \n",
    "# to read data and format information from older Excel files (ie: .xls)\n",
    "# get all data within the 'FULL DATA' worksheet and pass it into a DataFrame\n",
    "guardian_full = pd.read_excel('http://image.guardian.co.uk/sys-files/Guardian/documents/2012/11/14/US_elect_county.xls',\n",
    "                     sheetname = 'FULL DATA',\n",
    "                     header = 0,\n",
    "                     index_col=None,\n",
    "                     convert_float = True,\n",
    "                     converters={'FIPS Code':str},\n",
    "                     parse_cols = \"A, D, E, K, M, T, Y, AF, AK, AR, AW, BD, BI, BP\")\n",
    "                     \n",
    "guardian_full.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Postal</th>\n",
       "      <th>FIPS Code</th>\n",
       "      <th>County Name</th>\n",
       "      <th>TOTAL VOTES CAST</th>\n",
       "      <th>Party</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Party.1</th>\n",
       "      <th>Votes.1</th>\n",
       "      <th>Party.2</th>\n",
       "      <th>Votes.2</th>\n",
       "      <th>Party.3</th>\n",
       "      <th>Votes.3</th>\n",
       "      <th>Party.4</th>\n",
       "      <th>Votes.4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>DC</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>243348</td>\n",
       "      <td>Dem</td>\n",
       "      <td>222332</td>\n",
       "      <td>GOP</td>\n",
       "      <td>17337</td>\n",
       "      <td>Lib</td>\n",
       "      <td>1634.0</td>\n",
       "      <td>DCG</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>DC</td>\n",
       "      <td>11001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>243348</td>\n",
       "      <td>Dem</td>\n",
       "      <td>222332</td>\n",
       "      <td>GOP</td>\n",
       "      <td>17337</td>\n",
       "      <td>Lib</td>\n",
       "      <td>1634.0</td>\n",
       "      <td>DCG</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    State Postal FIPS Code           County Name  TOTAL VOTES CAST Party  \\\n",
       "456           DC         0  District of Columbia            243348   Dem   \n",
       "457           DC     11001  District of Columbia            243348   Dem   \n",
       "\n",
       "      Votes Party.1  Votes.1 Party.2  Votes.2 Party.3  Votes.3 Party.4  \\\n",
       "456  222332     GOP    17337     Lib   1634.0     DCG   2045.0     NaN   \n",
       "457  222332     GOP    17337     Lib   1634.0     DCG   2045.0     NaN   \n",
       "\n",
       "     Votes.4  \n",
       "456      NaN  \n",
       "457      NaN  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view by state\n",
    "guardian_full[(guardian_full['State Postal'] == 'DC')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# return results for only D & R\n",
    "def dem_func(x):\n",
    "    if x['Party'] == 'Dem':\n",
    "        return x['Votes']\n",
    "    elif x['Party.1'] == 'Dem':\n",
    "        return x['Votes.1']\n",
    "    elif x['Party.2'] == 'Dem':\n",
    "        return x['Votes.2']\n",
    "    elif x['Party.3'] == 'Dem':\n",
    "        return x['Votes.3']\n",
    "    elif x['Party.4'] == 'Dem':\n",
    "        return x['Votes.4']\n",
    "\n",
    "def gop_func(x):\n",
    "    if x['Party'] == 'GOP':\n",
    "        return x['Votes']\n",
    "    elif x['Party.1'] == 'GOP':\n",
    "        return x['Votes.1']\n",
    "    elif x['Party.2'] == 'GOP':\n",
    "        return x['Votes.2']\n",
    "    elif x['Party.3'] == 'GOP':\n",
    "        return x['Votes.3']\n",
    "    elif x['Party.4'] == 'GOP':\n",
    "        return x['Votes.4']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State Postal</th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>County Name</th>\n",
       "      <th>TOTAL VOTES CAST</th>\n",
       "      <th>Party</th>\n",
       "      <th>Votes</th>\n",
       "      <th>Party.1</th>\n",
       "      <th>Votes.1</th>\n",
       "      <th>Party.2</th>\n",
       "      <th>Votes.2</th>\n",
       "      <th>Party.3</th>\n",
       "      <th>Votes.3</th>\n",
       "      <th>Party.4</th>\n",
       "      <th>Votes.4</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "      <th>total_votes_2012</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AK</td>\n",
       "      <td>2000</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>220596</td>\n",
       "      <td>Dem</td>\n",
       "      <td>91696</td>\n",
       "      <td>GOP</td>\n",
       "      <td>121234</td>\n",
       "      <td>Lib</td>\n",
       "      <td>5539.0</td>\n",
       "      <td>Grn</td>\n",
       "      <td>2127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91696.0</td>\n",
       "      <td>121234.0</td>\n",
       "      <td>220596.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AL</td>\n",
       "      <td>1001</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>23909</td>\n",
       "      <td>Dem</td>\n",
       "      <td>6354</td>\n",
       "      <td>GOP</td>\n",
       "      <td>17366</td>\n",
       "      <td>Ind</td>\n",
       "      <td>31.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>136.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6354.0</td>\n",
       "      <td>17366.0</td>\n",
       "      <td>23909.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>1003</td>\n",
       "      <td>Baldwin</td>\n",
       "      <td>84988</td>\n",
       "      <td>Dem</td>\n",
       "      <td>18329</td>\n",
       "      <td>GOP</td>\n",
       "      <td>65772</td>\n",
       "      <td>Ind</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>597.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>168.0</td>\n",
       "      <td>18329.0</td>\n",
       "      <td>65772.0</td>\n",
       "      <td>84988.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AL</td>\n",
       "      <td>1005</td>\n",
       "      <td>Barbour</td>\n",
       "      <td>11459</td>\n",
       "      <td>Dem</td>\n",
       "      <td>5873</td>\n",
       "      <td>GOP</td>\n",
       "      <td>5539</td>\n",
       "      <td>Ind</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5873.0</td>\n",
       "      <td>5539.0</td>\n",
       "      <td>11459.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AL</td>\n",
       "      <td>1007</td>\n",
       "      <td>Bibb</td>\n",
       "      <td>8391</td>\n",
       "      <td>Dem</td>\n",
       "      <td>2200</td>\n",
       "      <td>GOP</td>\n",
       "      <td>6131</td>\n",
       "      <td>Ind</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>38.0</td>\n",
       "      <td>Ind</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>6131.0</td>\n",
       "      <td>8391.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  State Postal combined_fips County Name  TOTAL VOTES CAST Party  Votes  \\\n",
       "1           AK          2000      Alaska            220596   Dem  91696   \n",
       "3           AL          1001     Autauga             23909   Dem   6354   \n",
       "4           AL          1003     Baldwin             84988   Dem  18329   \n",
       "5           AL          1005     Barbour             11459   Dem   5873   \n",
       "6           AL          1007        Bibb              8391   Dem   2200   \n",
       "\n",
       "  Party.1  Votes.1 Party.2  Votes.2 Party.3  Votes.3 Party.4  Votes.4  \\\n",
       "1     GOP   121234     Lib   5539.0     Grn   2127.0     NaN      NaN   \n",
       "3     GOP    17366     Ind     31.0     Ind    136.0     Ind     22.0   \n",
       "4     GOP    65772     Ind    122.0     Ind    597.0     Ind    168.0   \n",
       "5     GOP     5539     Ind      9.0     Ind     32.0     Ind      6.0   \n",
       "6     GOP     6131     Ind     13.0     Ind     38.0     Ind      9.0   \n",
       "\n",
       "   votes_dem_2012  votes_gop_2012  total_votes_2012  \n",
       "1         91696.0        121234.0          220596.0  \n",
       "3          6354.0         17366.0           23909.0  \n",
       "4         18329.0         65772.0           84988.0  \n",
       "5          5873.0          5539.0           11459.0  \n",
       "6          2200.0          6131.0            8391.0  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get results for D & R only\n",
    "guardian = guardian_full\n",
    "guardian['votes_dem_2012'] = guardian.apply(lambda x: dem_func(x), axis=1)\n",
    "guardian['votes_gop_2012'] = guardian.apply(lambda x: gop_func(x), axis=1)\n",
    "# change data type for total votes\n",
    "guardian['total_votes_2012'] = guardian['TOTAL VOTES CAST'].astype('float64')\n",
    "# change fips header name\n",
    "guardian = guardian.rename(columns={'FIPS Code':'combined_fips'})\n",
    "# filter out state-level rows\n",
    "guardian = guardian[guardian['combined_fips'] != '0']\n",
    "\n",
    "guardian.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "      <th>total_votes_2012</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>DC</td>\n",
       "      <td>11001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>222332.0</td>\n",
       "      <td>17337.0</td>\n",
       "      <td>243348.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    state_abbr combined_fips           county_name  votes_dem_2012  \\\n",
       "457         DC         11001  District of Columbia        222332.0   \n",
       "\n",
       "     votes_gop_2012  total_votes_2012  \n",
       "457         17337.0          243348.0  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop irrelevant columns\n",
    "guardian_clean = guardian.drop(labels=['TOTAL VOTES CAST','Votes','Votes.1','Votes.2','Votes.3','Votes.4','Party','Party.1','Party.2','Party.3','Party.4'],axis=1)\n",
    "# format dataframe headers\n",
    "guardian_clean.rename(columns={'State Postal':'state_abbr','County Name':'county_name','state_fips_a':'state_fips'},inplace=True)\n",
    "\n",
    "guardian_clean[guardian_clean['state_abbr'] == 'DC']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>total_votes_2012</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>23007</td>\n",
       "      <td>16112.0</td>\n",
       "      <td>9292.0</td>\n",
       "      <td>6305.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    combined_fips  total_votes_2012  votes_dem_2012  votes_gop_2012\n",
       "931         23007           16112.0          9292.0          6305.0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# guardian reports many states at the town-level (ME, for instance)\n",
    "# roll up to the county_fips level\n",
    "county_level_pivot = pd.pivot_table(guardian_clean,index=[\"combined_fips\"],values=[\"votes_dem_2012\",\"votes_gop_2012\",\"total_votes_2012\"],aggfunc=np.sum)\n",
    "county_level_2012 =  county_level_pivot.reset_index()\n",
    "county_level_2012[county_level_2012['combined_fips'] == '23007'] # roll up to ME county 23007"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>total_votes_2012</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_fips</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>23007</td>\n",
       "      <td>16112.0</td>\n",
       "      <td>9292.0</td>\n",
       "      <td>6305.0</td>\n",
       "      <td>007</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    combined_fips  total_votes_2012  votes_dem_2012  votes_gop_2012  \\\n",
       "931         23007           16112.0          9292.0          6305.0   \n",
       "\n",
       "    county_fips state_fips  \n",
       "931         007         23  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# guardian data combines state- and county-level fips codes into one code\n",
    "# extract correct county fips codes\n",
    "county_level_2012['county_fips'] = county_level_2012['combined_fips'].str.extract('(.{3})\\s*$',expand=False)\n",
    "# extract correct state fips codes\n",
    "# guardian['state_fips'] = ''\n",
    "\n",
    "state_fips = []\n",
    "for i,r in county_level_2012['combined_fips'].iteritems():\n",
    "    if len(r) > 4:\n",
    "        state_fips.append(r[0:2])\n",
    "    else:\n",
    "        state_fips.append('0' + r[0:1])\n",
    "\n",
    "county_level_2012['state_fips'] = pd.Series(state_fips)\n",
    "\n",
    "county_level_2012[county_level_2012['combined_fips'] == '23007']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>total_votes_2012</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>per_dem_2012</th>\n",
       "      <th>per_gop_2012</th>\n",
       "      <th>diff_2012</th>\n",
       "      <th>per_point_diff_2012</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>23007</td>\n",
       "      <td>16112.0</td>\n",
       "      <td>9292.0</td>\n",
       "      <td>6305.0</td>\n",
       "      <td>007</td>\n",
       "      <td>23</td>\n",
       "      <td>0.576713</td>\n",
       "      <td>0.391323</td>\n",
       "      <td>2987.0</td>\n",
       "      <td>0.18539</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    combined_fips  total_votes_2012  votes_dem_2012  votes_gop_2012  \\\n",
       "931         23007           16112.0          9292.0          6305.0   \n",
       "\n",
       "    county_fips state_fips  per_dem_2012  per_gop_2012  diff_2012  \\\n",
       "931         007         23      0.576713      0.391323     2987.0   \n",
       "\n",
       "     per_point_diff_2012  \n",
       "931              0.18539  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add percentages for each R and D of total votes\n",
    "# calculate percentage of total vote per major candidates\n",
    "county_level_2012['per_dem_2012'] = county_level_2012['votes_dem_2012'] / county_level_2012['total_votes_2012']\n",
    "county_level_2012['per_gop_2012'] = county_level_2012['votes_gop_2012'] / county_level_2012['total_votes_2012']\n",
    "# county_level_2012['diff_2012'] = abs(county_level_2012['votes_gop_2012'] - county_level_2012['votes_dem_2012']).map('{:,.0f}'.format)\n",
    "county_level_2012['diff_2012'] = abs(county_level_2012['votes_gop_2012'] - county_level_2012['votes_dem_2012'])\n",
    "\n",
    "# domain for % point difference is set to [-1,1] for visualization purposes\n",
    "county_level_2012['per_point_diff_2012'] = county_level_2012['per_dem_2012'] - county_level_2012['per_gop_2012']\n",
    "# view per fips code\n",
    "county_level_2012[county_level_2012['combined_fips'] == '23007']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Townhall data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# each page has a summary table that rolls up results at the state level\n",
    "# get rid of it\n",
    "def cond(x):\n",
    "    if x:\n",
    "        return x.startswith(\"table ec-table\") and not \"table ec-table ec-table-summary\" in x\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# list of state abbreviations\n",
    "states = ['AL','AK','AZ','AR','CA','CO','CT','DC','DE','FL','GA','HI','ID','IL','IN','IA','KS','KY','LA','ME','MD','MA','MI','MN','MS','MO','MT','NE','NV','NH','NJ','NM','NY','NC','ND','OH','OK','OR','PA','RI','SC','SD','TN','TX','UT','VT','VA','WA','WV','WI','WY']\n",
    "\n",
    "# headers for csv export\n",
    "data = [['state_abbr', 'county_name', 'party', 'votes_total_2016']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# loop through each state's web page http://townhall.com/election/2016/president/%s/county, where %s is the state abbr\n",
    "# add in Request Agent in request header\n",
    "header = {'User-Agent': 'Mozilla/5.0'}\n",
    "for state in states:\n",
    "    site = 'https://townhall.com/election/2016/president/' + state + '/county'\n",
    "    request = urllib2.Request(site,headers=header)\n",
    "    page = urllib2.urlopen(request).read()\n",
    "    soup = BeautifulSoup(page, \"html.parser\")\n",
    "\n",
    "    # loop through each <table> tag with .ec-table class\n",
    "    tables = soup.findAll('table', attrs={'class':cond})\n",
    "\n",
    "    for table in tables:\n",
    "        if table.findParent(\"table\") is None:\n",
    "            table_body = table.find('tbody')\n",
    "\n",
    "            rows = table_body.find_all('tr')\n",
    "            for row in rows:\n",
    "                cols = row.find_all('td')\n",
    "                # first tbody tr has four td\n",
    "                if len(cols) == 4:\n",
    "                    # strip text from each td\n",
    "                    divs = cols[0].find_all('div')\n",
    "                    county = divs[0].text.strip()\n",
    "                    party = cols[1]['class'][0]\n",
    "                    total_votes_2016 = int(cols[2].text.strip().replace(',','').replace('-','0'))\n",
    "                # all other tbody tr have three td\n",
    "                else:\n",
    "                    party = cols[1]['class'][0]\n",
    "                    total_votes_2016 = int(cols[1].text.strip().replace(',','').replace('-','0'))\n",
    "                    \n",
    "                #combine each row's results\n",
    "                rowData = [state,county,party,total_votes_2016]\n",
    "                data.append(rowData)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14188\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>GOP</td>\n",
       "      <td>18110.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>DEM</td>\n",
       "      <td>5908.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>IND</td>\n",
       "      <td>538.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>IND</td>\n",
       "      <td>105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AL</td>\n",
       "      <td>Baldwin</td>\n",
       "      <td>GOP</td>\n",
       "      <td>72780.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0 state_abbr county_name party  votes_total_2016\n",
       "1         AL     Autauga   GOP           18110.0\n",
       "2         AL     Autauga   DEM            5908.0\n",
       "3         AL     Autauga   IND             538.0\n",
       "4         AL     Autauga   IND             105.0\n",
       "5         AL     Baldwin   GOP           72780.0"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "townhall = pd.DataFrame(data) # throw results in dataframe\n",
    "new_header = townhall.iloc[0] #grab the first row for the header\n",
    "townhall = townhall[1:] #take the data less the header row\n",
    "townhall.columns = new_header #set the header row as the df header\n",
    "townhall['votes_total_2016'] = townhall['votes_total_2016'].astype('float64')\n",
    "print(townhall.shape[0])\n",
    "townhall.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>DC</td>\n",
       "      <td>Washington</td>\n",
       "      <td>DEM</td>\n",
       "      <td>260223.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>DC</td>\n",
       "      <td>Washington</td>\n",
       "      <td>GOP</td>\n",
       "      <td>11553.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>DC</td>\n",
       "      <td>Washington</td>\n",
       "      <td>LIB</td>\n",
       "      <td>4501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>DC</td>\n",
       "      <td>Washington</td>\n",
       "      <td>DCG</td>\n",
       "      <td>3995.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr county_name party  votes_total_2016\n",
       "1415         DC  Washington   DEM          260223.0\n",
       "1416         DC  Washington   GOP           11553.0\n",
       "1417         DC  Washington   LIB            4501.0\n",
       "1418         DC  Washington   DCG            3995.0"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view by state\n",
    "townhall[(townhall['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7943</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>GOP</td>\n",
       "      <td>13125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7944</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>DEM</td>\n",
       "      <td>9610.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7945</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>LIB</td>\n",
       "      <td>1159.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7946</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>OTH</td>\n",
       "      <td>1122.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr  county_name party  votes_total_2016\n",
       "7943         NV  Carson City   GOP           13125.0\n",
       "7944         NV  Carson City   DEM            9610.0\n",
       "7945         NV  Carson City   LIB            1159.0\n",
       "7946         NV  Carson City   OTH            1122.0"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view special cases\n",
    "townhall[(townhall['state_abbr'] == 'NV') & (townhall['county_name'] == 'Carson City')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
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       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DEM</td>\n",
       "      <td>260223.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>GOP</td>\n",
       "      <td>11553.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>LIB</td>\n",
       "      <td>4501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DCG</td>\n",
       "      <td>3995.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7227</th>\n",
       "      <td>MO</td>\n",
       "      <td>Ste. Genevieve County</td>\n",
       "      <td>GOP</td>\n",
       "      <td>5495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7228</th>\n",
       "      <td>MO</td>\n",
       "      <td>Ste. Genevieve County</td>\n",
       "      <td>DEM</td>\n",
       "      <td>2540.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7229</th>\n",
       "      <td>MO</td>\n",
       "      <td>Ste. Genevieve County</td>\n",
       "      <td>LIB</td>\n",
       "      <td>323.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7230</th>\n",
       "      <td>MO</td>\n",
       "      <td>Ste. Genevieve County</td>\n",
       "      <td>GRN</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7231</th>\n",
       "      <td>MO</td>\n",
       "      <td>Ste. Genevieve County</td>\n",
       "      <td>OTH</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10780</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>DEM</td>\n",
       "      <td>2504.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10781</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>GOP</td>\n",
       "      <td>241.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10782</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>LIB</td>\n",
       "      <td>104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10783</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>OTH</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0     state_abbr            county_name party  votes_total_2016\n",
       "1415          DC   District of Columbia   DEM          260223.0\n",
       "1416          DC   District of Columbia   GOP           11553.0\n",
       "1417          DC   District of Columbia   LIB            4501.0\n",
       "1418          DC   District of Columbia   DCG            3995.0\n",
       "7227          MO  Ste. Genevieve County   GOP            5495.0\n",
       "7228          MO  Ste. Genevieve County   DEM            2540.0\n",
       "7229          MO  Ste. Genevieve County   LIB             323.0\n",
       "7230          MO  Ste. Genevieve County   GRN              55.0\n",
       "7231          MO  Ste. Genevieve County   OTH              46.0\n",
       "10780         SD                 Oglala   DEM            2504.0\n",
       "10781         SD                 Oglala   GOP             241.0\n",
       "10782         SD                 Oglala   LIB             104.0\n",
       "10783         SD                 Oglala   OTH              47.0"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fix townhall county name for Washington DC, Sainte Genevieve, MO, Oglala, SD\n",
    "townhall.loc[townhall['state_abbr'] =='DC', 'county_name'] = 'District of Columbia'\n",
    "townhall.loc[townhall['county_name'] == 'Sainte Genevieve', 'county_name'] = 'Ste. Genevieve County'\n",
    "townhall.loc[townhall['county_name'] == 'Oglala Lakota', 'county_name'] = 'Oglala'\n",
    "townhall[(townhall['county_name'] == 'District of Columbia') | (townhall['county_name'] == 'Ste. Genevieve County') | (townhall['county_name'] == 'Oglala')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7943</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>GOP</td>\n",
       "      <td>13125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7944</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>DEM</td>\n",
       "      <td>9610.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7945</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>LIB</td>\n",
       "      <td>1159.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7946</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>OTH</td>\n",
       "      <td>1122.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr  county_name party  votes_total_2016\n",
       "7943         NV  Carson City   GOP           13125.0\n",
       "7944         NV  Carson City   DEM            9610.0\n",
       "7945         NV  Carson City   LIB            1159.0\n",
       "7946         NV  Carson City   OTH            1122.0"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change 'Co.' to 'County' in county_name to match census county name\n",
    "townhall['county_name'] = townhall['county_name'].apply(lambda x: x.replace('Co.','County').strip())\n",
    "townhall[(townhall['state_abbr'] == 'NV') & (townhall['county_name'] == 'Carson City')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "      <th>combined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DEM</td>\n",
       "      <td>260223.0</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>GOP</td>\n",
       "      <td>11553.0</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>LIB</td>\n",
       "      <td>4501.0</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DCG</td>\n",
       "      <td>3995.0</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr           county_name party  votes_total_2016  \\\n",
       "1415         DC  District of Columbia   DEM          260223.0   \n",
       "1416         DC  District of Columbia   GOP           11553.0   \n",
       "1417         DC  District of Columbia   LIB            4501.0   \n",
       "1418         DC  District of Columbia   DCG            3995.0   \n",
       "\n",
       "0                 combined  \n",
       "1415  DCdistrictofcolumbia  \n",
       "1416  DCdistrictofcolumbia  \n",
       "1417  DCdistrictofcolumbia  \n",
       "1418  DCdistrictofcolumbia  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# combine state and county names to create a unique key to join on other datasets\n",
    "townhall['combined'] = townhall['state_abbr'] + townhall['county_name'].apply(lambda x: x.replace(' ','').lower())\n",
    "townhall[(townhall['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Census data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3235, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AL</td>\n",
       "      <td>01</td>\n",
       "      <td>001</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AL</td>\n",
       "      <td>01</td>\n",
       "      <td>003</td>\n",
       "      <td>Baldwin County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AL</td>\n",
       "      <td>01</td>\n",
       "      <td>005</td>\n",
       "      <td>Barbour County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AL</td>\n",
       "      <td>01</td>\n",
       "      <td>007</td>\n",
       "      <td>Bibb County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>01</td>\n",
       "      <td>009</td>\n",
       "      <td>Blount County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  state_abbr state_fips county_fips     county_name fips_class_code\n",
       "0         AL         01         001  Autauga County              H1\n",
       "1         AL         01         003  Baldwin County              H1\n",
       "2         AL         01         005  Barbour County              H1\n",
       "3         AL         01         007     Bibb County              H1\n",
       "4         AL         01         009   Blount County              H1"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# county_fips data from https://www.census.gov/geo/reference/codes/cou.html\n",
    "census = pd.read_csv('http://www2.census.gov/geo/docs/reference/codes/files/national_county.txt',sep=',',header=None, dtype=str)\n",
    "census.columns = ['state_abbr', 'state_fips', 'county_fips', 'county_name', 'fips_class_code']\n",
    "print(census.shape)\n",
    "census.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29\n"
     ]
    }
   ],
   "source": [
    "# view by state\n",
    "ak_counties = census[(census['state_abbr'] == 'AK')].shape[0]\n",
    "print(ak_counties)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1763</th>\n",
       "      <td>NV</td>\n",
       "      <td>32</td>\n",
       "      <td>510</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>C7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     state_abbr state_fips county_fips  county_name fips_class_code\n",
       "1763         NV         32         510  Carson City              C7"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view special cases\n",
    "census[(census['state_abbr'] == 'NV') & (census['county_name'] == 'Carson City')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2362</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>003</td>\n",
       "      <td>Aurora County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2363</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>005</td>\n",
       "      <td>Beadle County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2364</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>007</td>\n",
       "      <td>Bennett County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2365</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>009</td>\n",
       "      <td>Bon Homme County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2366</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>011</td>\n",
       "      <td>Brookings County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2367</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>013</td>\n",
       "      <td>Brown County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2368</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>015</td>\n",
       "      <td>Brule County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2369</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>017</td>\n",
       "      <td>Buffalo County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>019</td>\n",
       "      <td>Butte County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>021</td>\n",
       "      <td>Campbell County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>023</td>\n",
       "      <td>Charles Mix County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2373</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>025</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2374</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>027</td>\n",
       "      <td>Clay County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2375</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>029</td>\n",
       "      <td>Codington County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2376</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>031</td>\n",
       "      <td>Corson County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>033</td>\n",
       "      <td>Custer County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2378</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>035</td>\n",
       "      <td>Davison County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2379</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>037</td>\n",
       "      <td>Day County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2380</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>039</td>\n",
       "      <td>Deuel County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2381</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>041</td>\n",
       "      <td>Dewey County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2382</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>043</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2383</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>045</td>\n",
       "      <td>Edmunds County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2384</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>047</td>\n",
       "      <td>Fall River County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2385</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>049</td>\n",
       "      <td>Faulk County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2386</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>051</td>\n",
       "      <td>Grant County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2387</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>053</td>\n",
       "      <td>Gregory County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2388</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>055</td>\n",
       "      <td>Haakon County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>057</td>\n",
       "      <td>Hamlin County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2390</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>059</td>\n",
       "      <td>Hand County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2391</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>061</td>\n",
       "      <td>Hanson County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2398</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>075</td>\n",
       "      <td>Jones County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2399</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>077</td>\n",
       "      <td>Kingsbury County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2400</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>079</td>\n",
       "      <td>Lake County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2401</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>081</td>\n",
       "      <td>Lawrence County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2402</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>083</td>\n",
       "      <td>Lincoln County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2403</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>085</td>\n",
       "      <td>Lyman County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2404</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>087</td>\n",
       "      <td>McCook County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2405</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>089</td>\n",
       "      <td>McPherson County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2406</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>091</td>\n",
       "      <td>Marshall County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2407</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>093</td>\n",
       "      <td>Meade County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2408</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>095</td>\n",
       "      <td>Mellette County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2409</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>097</td>\n",
       "      <td>Miner County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2410</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>099</td>\n",
       "      <td>Minnehaha County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2411</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>101</td>\n",
       "      <td>Moody County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2412</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>103</td>\n",
       "      <td>Pennington County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2413</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>105</td>\n",
       "      <td>Perkins County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2414</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>107</td>\n",
       "      <td>Potter County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2415</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>109</td>\n",
       "      <td>Roberts County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2416</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>111</td>\n",
       "      <td>Sanborn County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2417</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>113</td>\n",
       "      <td>Oglala County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2418</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>115</td>\n",
       "      <td>Spink County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2419</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>117</td>\n",
       "      <td>Stanley County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2420</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>119</td>\n",
       "      <td>Sully County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2421</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>121</td>\n",
       "      <td>Todd County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2422</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>123</td>\n",
       "      <td>Tripp County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2423</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>125</td>\n",
       "      <td>Turner County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2424</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>127</td>\n",
       "      <td>Union County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2425</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>129</td>\n",
       "      <td>Walworth County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2426</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>135</td>\n",
       "      <td>Yankton County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2427</th>\n",
       "      <td>SD</td>\n",
       "      <td>46</td>\n",
       "      <td>137</td>\n",
       "      <td>Ziebach County</td>\n",
       "      <td>H1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     state_abbr state_fips county_fips         county_name fips_class_code\n",
       "2362         SD         46         003       Aurora County              H1\n",
       "2363         SD         46         005       Beadle County              H1\n",
       "2364         SD         46         007      Bennett County              H1\n",
       "2365         SD         46         009    Bon Homme County              H1\n",
       "2366         SD         46         011    Brookings County              H1\n",
       "2367         SD         46         013        Brown County              H1\n",
       "2368         SD         46         015        Brule County              H1\n",
       "2369         SD         46         017      Buffalo County              H1\n",
       "2370         SD         46         019        Butte County              H1\n",
       "2371         SD         46         021     Campbell County              H1\n",
       "2372         SD         46         023  Charles Mix County              H1\n",
       "2373         SD         46         025        Clark County              H1\n",
       "2374         SD         46         027         Clay County              H1\n",
       "2375         SD         46         029    Codington County              H1\n",
       "2376         SD         46         031       Corson County              H1\n",
       "2377         SD         46         033       Custer County              H1\n",
       "2378         SD         46         035      Davison County              H1\n",
       "2379         SD         46         037          Day County              H1\n",
       "2380         SD         46         039        Deuel County              H1\n",
       "2381         SD         46         041        Dewey County              H1\n",
       "2382         SD         46         043      Douglas County              H1\n",
       "2383         SD         46         045      Edmunds County              H1\n",
       "2384         SD         46         047   Fall River County              H1\n",
       "2385         SD         46         049        Faulk County              H1\n",
       "2386         SD         46         051        Grant County              H1\n",
       "2387         SD         46         053      Gregory County              H1\n",
       "2388         SD         46         055       Haakon County              H1\n",
       "2389         SD         46         057       Hamlin County              H1\n",
       "2390         SD         46         059         Hand County              H1\n",
       "2391         SD         46         061       Hanson County              H1\n",
       "...         ...        ...         ...                 ...             ...\n",
       "2398         SD         46         075        Jones County              H1\n",
       "2399         SD         46         077    Kingsbury County              H1\n",
       "2400         SD         46         079         Lake County              H1\n",
       "2401         SD         46         081     Lawrence County              H1\n",
       "2402         SD         46         083      Lincoln County              H1\n",
       "2403         SD         46         085        Lyman County              H1\n",
       "2404         SD         46         087       McCook County              H1\n",
       "2405         SD         46         089    McPherson County              H1\n",
       "2406         SD         46         091     Marshall County              H1\n",
       "2407         SD         46         093        Meade County              H1\n",
       "2408         SD         46         095     Mellette County              H1\n",
       "2409         SD         46         097        Miner County              H1\n",
       "2410         SD         46         099    Minnehaha County              H1\n",
       "2411         SD         46         101        Moody County              H1\n",
       "2412         SD         46         103   Pennington County              H1\n",
       "2413         SD         46         105      Perkins County              H1\n",
       "2414         SD         46         107       Potter County              H1\n",
       "2415         SD         46         109      Roberts County              H1\n",
       "2416         SD         46         111      Sanborn County              H1\n",
       "2417         SD         46         113       Oglala County              H1\n",
       "2418         SD         46         115        Spink County              H1\n",
       "2419         SD         46         117      Stanley County              H1\n",
       "2420         SD         46         119        Sully County              H1\n",
       "2421         SD         46         121         Todd County              H1\n",
       "2422         SD         46         123        Tripp County              H1\n",
       "2423         SD         46         125       Turner County              H1\n",
       "2424         SD         46         127        Union County              H1\n",
       "2425         SD         46         129     Walworth County              H1\n",
       "2426         SD         46         135      Yankton County              H1\n",
       "2427         SD         46         137      Ziebach County              H1\n",
       "\n",
       "[66 rows x 5 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change Shannon County, SD to Oglala County, SD\n",
    "# http://rapidcityjournal.com/news/local/it-s-official-oglala-lakota-county-replaces-shannon-county-name/article_ac5c2369-3fea-5f94-9898-b007b7ddf22c.html\n",
    "# townhall.loc[townhall['county_name'] == 'Sainte Genevieve', 'county_name'] = 'Ste. Genevieve County'\n",
    "census.loc[(census['county_name'] == 'Shannon County') & (census['state_abbr'] == 'SD'), 'county_name'] = 'Oglala County'\n",
    "census[(census['state_abbr'] == 'SD')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# state of Alaska reports results at the precinct and state level; no county level data available\n",
    "# report results as the states level; \n",
    "# ugly fix to get townhall results and census counties to work together\n",
    "# future plan: roll up precinct-level results to the county level\n",
    "census.loc[(census['state_abbr'] == 'AK'),'county_name'] = 'Alaska'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1216          MDbaltimore\n",
       "1597           MOst.louis\n",
       "1763         NVcarsoncity\n",
       "2915         VAalexandria\n",
       "2916            VAbedford\n",
       "2917            VAbristol\n",
       "2918         VAbuenavista\n",
       "2919    VAcharlottesville\n",
       "2920         VAchesapeake\n",
       "2921    VAcolonialheights\n",
       "2922          VAcovington\n",
       "2923           VAdanville\n",
       "2924            VAemporia\n",
       "2925            VAfairfax\n",
       "2926        VAfallschurch\n",
       "2927           VAfranklin\n",
       "2928     VAfredericksburg\n",
       "2929              VAgalax\n",
       "2930            VAhampton\n",
       "2931       VAharrisonburg\n",
       "2932           VAhopewell\n",
       "2933          VAlexington\n",
       "2934          VAlynchburg\n",
       "2935           VAmanassas\n",
       "2936       VAmanassaspark\n",
       "2937       VAmartinsville\n",
       "2938        VAnewportnews\n",
       "2939            VAnorfolk\n",
       "2940             VAnorton\n",
       "2941         VApetersburg\n",
       "2942           VApoquoson\n",
       "2943         VAportsmouth\n",
       "2944            VAradford\n",
       "2945           VArichmond\n",
       "2946            VAroanoke\n",
       "2947              VAsalem\n",
       "2948           VAstaunton\n",
       "2949            VAsuffolk\n",
       "2950      VAvirginiabeach\n",
       "2951         VAwaynesboro\n",
       "2952       VAwilliamsburg\n",
       "2953         VAwinchester\n",
       "dtype: object"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change county_name values in townhall data to match 'county_name' values for C7 fips class code cities\n",
    "# get and transform C7 city names\n",
    "cities = (census['state_abbr'][(census['fips_class_code'] == 'C7')] + census['county_name'][(census['fips_class_code'] == 'C7')].apply(lambda x: x.replace('city','').replace(' ','').lower()))\n",
    "cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "      <th>combined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7943</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>GOP</td>\n",
       "      <td>13125.0</td>\n",
       "      <td>NVcarsoncity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7944</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>DEM</td>\n",
       "      <td>9610.0</td>\n",
       "      <td>NVcarsoncity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7945</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>LIB</td>\n",
       "      <td>1159.0</td>\n",
       "      <td>NVcarsoncity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7946</th>\n",
       "      <td>NV</td>\n",
       "      <td>Carson City</td>\n",
       "      <td>OTH</td>\n",
       "      <td>1122.0</td>\n",
       "      <td>NVcarsoncity</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr  county_name party  votes_total_2016      combined\n",
       "7943         NV  Carson City   GOP           13125.0  NVcarsoncity\n",
       "7944         NV  Carson City   DEM            9610.0  NVcarsoncity\n",
       "7945         NV  Carson City   LIB            1159.0  NVcarsoncity\n",
       "7946         NV  Carson City   OTH            1122.0  NVcarsoncity"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# loop through 'combined' column and compare to cities series to add 'city' to H1 fips class code to townhall data\n",
    "for i, row in cities.iteritems():\n",
    "    if row != 'NVcarsoncity':\n",
    "        townhall.loc[townhall['combined'] == row, 'combined'] = row + 'city'\n",
    "    \n",
    "townhall[(townhall['combined'] == 'NVcarsoncity')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "      <th>combined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10780</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>DEM</td>\n",
       "      <td>2504.0</td>\n",
       "      <td>SDoglala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10781</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>GOP</td>\n",
       "      <td>241.0</td>\n",
       "      <td>SDoglala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10782</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>LIB</td>\n",
       "      <td>104.0</td>\n",
       "      <td>SDoglala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10783</th>\n",
       "      <td>SD</td>\n",
       "      <td>Oglala</td>\n",
       "      <td>OTH</td>\n",
       "      <td>47.0</td>\n",
       "      <td>SDoglala</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0     state_abbr county_name party  votes_total_2016  combined\n",
       "10780         SD      Oglala   DEM            2504.0  SDoglala\n",
       "10781         SD      Oglala   GOP             241.0  SDoglala\n",
       "10782         SD      Oglala   LIB             104.0  SDoglala\n",
       "10783         SD      Oglala   OTH              47.0  SDoglala"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove 'county' from 'combined' column of C7 fips class code counties in townhall\n",
    "townhall['combined'] = townhall['combined'].str.replace('county','')\n",
    "townhall[(townhall['county_name'] == 'Oglala')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "      <th>combined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    state_abbr state_fips county_fips           county_name fips_class_code  \\\n",
       "319         DC         11         001  District of Columbia              H6   \n",
       "\n",
       "                 combined  \n",
       "319  DCdistrictofcolumbia  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# combine state abbreviation and county name to create a unique key to join with other datasets\n",
    "census['combined'] = census['state_abbr'] + census['county_name'].apply(lambda x: x.replace('County','').replace('Parish','').replace(' ','').lower())\n",
    "census[(census['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>party</th>\n",
       "      <th>combined</th>\n",
       "      <th>total_votes_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DEM</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1416</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>GOP</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>LIB</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1418</th>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DCG</td>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "0    state_abbr           county_name party              combined  \\\n",
       "1415         DC  District of Columbia   DEM  DCdistrictofcolumbia   \n",
       "1416         DC  District of Columbia   GOP  DCdistrictofcolumbia   \n",
       "1417         DC  District of Columbia   LIB  DCdistrictofcolumbia   \n",
       "1418         DC  District of Columbia   DCG  DCdistrictofcolumbia   \n",
       "\n",
       "0     total_votes_2016  \n",
       "1415          280272.0  \n",
       "1416          280272.0  \n",
       "1417          280272.0  \n",
       "1418          280272.0  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# return sum of votes by state and county\n",
    "townhall['total_votes_2016'] = townhall['votes_total_2016'].groupby(townhall['combined']).transform('sum')\n",
    "townhall_counties = townhall.drop('votes_total_2016',axis=1)\n",
    "#townhall[(townhall['state_abbr'] == 'DC')]\n",
    "\n",
    "# view dataset by selected state\n",
    "townhall_counties[(townhall_counties['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combine data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Joined dataset has 14422 items\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined</th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "      <th>state_abbr_r</th>\n",
       "      <th>county_name_r</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "      <th>total_votes_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DEM</td>\n",
       "      <td>260223.0</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>GOP</td>\n",
       "      <td>11553.0</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1561</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>LIB</td>\n",
       "      <td>4501.0</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1562</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>DCG</td>\n",
       "      <td>3995.0</td>\n",
       "      <td>280272.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  combined state_abbr state_fips county_fips  \\\n",
       "1559  DCdistrictofcolumbia         DC         11         001   \n",
       "1560  DCdistrictofcolumbia         DC         11         001   \n",
       "1561  DCdistrictofcolumbia         DC         11         001   \n",
       "1562  DCdistrictofcolumbia         DC         11         001   \n",
       "\n",
       "               county_name fips_class_code state_abbr_r         county_name_r  \\\n",
       "1559  District of Columbia              H6           DC  District of Columbia   \n",
       "1560  District of Columbia              H6           DC  District of Columbia   \n",
       "1561  District of Columbia              H6           DC  District of Columbia   \n",
       "1562  District of Columbia              H6           DC  District of Columbia   \n",
       "\n",
       "     party  votes_total_2016  total_votes_2016  \n",
       "1559   DEM          260223.0          280272.0  \n",
       "1560   GOP           11553.0          280272.0  \n",
       "1561   LIB            4501.0          280272.0  \n",
       "1562   DCG            3995.0          280272.0  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# join census and townhall data on the 'combined' column\n",
    "right = townhall.set_index('combined')\n",
    "left = census.set_index('combined')\n",
    "\n",
    "combined = left.join(right, lsuffix='', rsuffix='_r')\n",
    "combined = combined.reset_index()\n",
    "print('Joined dataset has ' + str(combined.shape[0]) + ' items')\n",
    "\n",
    "# view data by selected state\n",
    "combined[(combined['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined</th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "      <th>state_abbr_r</th>\n",
       "      <th>county_name_r</th>\n",
       "      <th>party</th>\n",
       "      <th>votes_total_2016</th>\n",
       "      <th>total_votes_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>013</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>013</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>013</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>013</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>013</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>016</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>016</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>016</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>016</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>016</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>020</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H6</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>020</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H6</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>020</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H6</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>020</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H6</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>020</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H6</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>050</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>050</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>050</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>050</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>050</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>060</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>060</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>060</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>060</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>060</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>068</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>068</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>068</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>068</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>068</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>240</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>240</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>240</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>240</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>240</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>261</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>261</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>261</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>261</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>261</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>270</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>270</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>270</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>270</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>270</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>275</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>275</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>275</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>275</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>275</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>282</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>282</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>282</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>282</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>282</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H1</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>290</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GOP</td>\n",
       "      <td>4497.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>290</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>DEM</td>\n",
       "      <td>3207.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>290</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>LIB</td>\n",
       "      <td>503.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>290</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>GRN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>AKalaska</td>\n",
       "      <td>AK</td>\n",
       "      <td>02</td>\n",
       "      <td>290</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>H5</td>\n",
       "      <td>AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>OTH</td>\n",
       "      <td>142.0</td>\n",
       "      <td>246588.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>145 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     combined state_abbr state_fips county_fips county_name fips_class_code  \\\n",
       "0    AKalaska         AK         02         013      Alaska              H1   \n",
       "1    AKalaska         AK         02         013      Alaska              H1   \n",
       "2    AKalaska         AK         02         013      Alaska              H1   \n",
       "3    AKalaska         AK         02         013      Alaska              H1   \n",
       "4    AKalaska         AK         02         013      Alaska              H1   \n",
       "5    AKalaska         AK         02         016      Alaska              H5   \n",
       "6    AKalaska         AK         02         016      Alaska              H5   \n",
       "7    AKalaska         AK         02         016      Alaska              H5   \n",
       "8    AKalaska         AK         02         016      Alaska              H5   \n",
       "9    AKalaska         AK         02         016      Alaska              H5   \n",
       "10   AKalaska         AK         02         020      Alaska              H6   \n",
       "11   AKalaska         AK         02         020      Alaska              H6   \n",
       "12   AKalaska         AK         02         020      Alaska              H6   \n",
       "13   AKalaska         AK         02         020      Alaska              H6   \n",
       "14   AKalaska         AK         02         020      Alaska              H6   \n",
       "15   AKalaska         AK         02         050      Alaska              H5   \n",
       "16   AKalaska         AK         02         050      Alaska              H5   \n",
       "17   AKalaska         AK         02         050      Alaska              H5   \n",
       "18   AKalaska         AK         02         050      Alaska              H5   \n",
       "19   AKalaska         AK         02         050      Alaska              H5   \n",
       "20   AKalaska         AK         02         060      Alaska              H1   \n",
       "21   AKalaska         AK         02         060      Alaska              H1   \n",
       "22   AKalaska         AK         02         060      Alaska              H1   \n",
       "23   AKalaska         AK         02         060      Alaska              H1   \n",
       "24   AKalaska         AK         02         060      Alaska              H1   \n",
       "25   AKalaska         AK         02         068      Alaska              H1   \n",
       "26   AKalaska         AK         02         068      Alaska              H1   \n",
       "27   AKalaska         AK         02         068      Alaska              H1   \n",
       "28   AKalaska         AK         02         068      Alaska              H1   \n",
       "29   AKalaska         AK         02         068      Alaska              H1   \n",
       "..        ...        ...        ...         ...         ...             ...   \n",
       "115  AKalaska         AK         02         240      Alaska              H5   \n",
       "116  AKalaska         AK         02         240      Alaska              H5   \n",
       "117  AKalaska         AK         02         240      Alaska              H5   \n",
       "118  AKalaska         AK         02         240      Alaska              H5   \n",
       "119  AKalaska         AK         02         240      Alaska              H5   \n",
       "120  AKalaska         AK         02         261      Alaska              H5   \n",
       "121  AKalaska         AK         02         261      Alaska              H5   \n",
       "122  AKalaska         AK         02         261      Alaska              H5   \n",
       "123  AKalaska         AK         02         261      Alaska              H5   \n",
       "124  AKalaska         AK         02         261      Alaska              H5   \n",
       "125  AKalaska         AK         02         270      Alaska              H5   \n",
       "126  AKalaska         AK         02         270      Alaska              H5   \n",
       "127  AKalaska         AK         02         270      Alaska              H5   \n",
       "128  AKalaska         AK         02         270      Alaska              H5   \n",
       "129  AKalaska         AK         02         270      Alaska              H5   \n",
       "130  AKalaska         AK         02         275      Alaska              H1   \n",
       "131  AKalaska         AK         02         275      Alaska              H1   \n",
       "132  AKalaska         AK         02         275      Alaska              H1   \n",
       "133  AKalaska         AK         02         275      Alaska              H1   \n",
       "134  AKalaska         AK         02         275      Alaska              H1   \n",
       "135  AKalaska         AK         02         282      Alaska              H1   \n",
       "136  AKalaska         AK         02         282      Alaska              H1   \n",
       "137  AKalaska         AK         02         282      Alaska              H1   \n",
       "138  AKalaska         AK         02         282      Alaska              H1   \n",
       "139  AKalaska         AK         02         282      Alaska              H1   \n",
       "140  AKalaska         AK         02         290      Alaska              H5   \n",
       "141  AKalaska         AK         02         290      Alaska              H5   \n",
       "142  AKalaska         AK         02         290      Alaska              H5   \n",
       "143  AKalaska         AK         02         290      Alaska              H5   \n",
       "144  AKalaska         AK         02         290      Alaska              H5   \n",
       "\n",
       "    state_abbr_r county_name_r party  votes_total_2016  total_votes_2016  \n",
       "0             AK        Alaska   GOP            4497.0          246588.0  \n",
       "1             AK        Alaska   DEM            3207.0          246588.0  \n",
       "2             AK        Alaska   LIB             503.0          246588.0  \n",
       "3             AK        Alaska   GRN             153.0          246588.0  \n",
       "4             AK        Alaska   OTH             142.0          246588.0  \n",
       "5             AK        Alaska   GOP            4497.0          246588.0  \n",
       "6             AK        Alaska   DEM            3207.0          246588.0  \n",
       "7             AK        Alaska   LIB             503.0          246588.0  \n",
       "8             AK        Alaska   GRN             153.0          246588.0  \n",
       "9             AK        Alaska   OTH             142.0          246588.0  \n",
       "10            AK        Alaska   GOP            4497.0          246588.0  \n",
       "11            AK        Alaska   DEM            3207.0          246588.0  \n",
       "12            AK        Alaska   LIB             503.0          246588.0  \n",
       "13            AK        Alaska   GRN             153.0          246588.0  \n",
       "14            AK        Alaska   OTH             142.0          246588.0  \n",
       "15            AK        Alaska   GOP            4497.0          246588.0  \n",
       "16            AK        Alaska   DEM            3207.0          246588.0  \n",
       "17            AK        Alaska   LIB             503.0          246588.0  \n",
       "18            AK        Alaska   GRN             153.0          246588.0  \n",
       "19            AK        Alaska   OTH             142.0          246588.0  \n",
       "20            AK        Alaska   GOP            4497.0          246588.0  \n",
       "21            AK        Alaska   DEM            3207.0          246588.0  \n",
       "22            AK        Alaska   LIB             503.0          246588.0  \n",
       "23            AK        Alaska   GRN             153.0          246588.0  \n",
       "24            AK        Alaska   OTH             142.0          246588.0  \n",
       "25            AK        Alaska   GOP            4497.0          246588.0  \n",
       "26            AK        Alaska   DEM            3207.0          246588.0  \n",
       "27            AK        Alaska   LIB             503.0          246588.0  \n",
       "28            AK        Alaska   GRN             153.0          246588.0  \n",
       "29            AK        Alaska   OTH             142.0          246588.0  \n",
       "..           ...           ...   ...               ...               ...  \n",
       "115           AK        Alaska   GOP            4497.0          246588.0  \n",
       "116           AK        Alaska   DEM            3207.0          246588.0  \n",
       "117           AK        Alaska   LIB             503.0          246588.0  \n",
       "118           AK        Alaska   GRN             153.0          246588.0  \n",
       "119           AK        Alaska   OTH             142.0          246588.0  \n",
       "120           AK        Alaska   GOP            4497.0          246588.0  \n",
       "121           AK        Alaska   DEM            3207.0          246588.0  \n",
       "122           AK        Alaska   LIB             503.0          246588.0  \n",
       "123           AK        Alaska   GRN             153.0          246588.0  \n",
       "124           AK        Alaska   OTH             142.0          246588.0  \n",
       "125           AK        Alaska   GOP            4497.0          246588.0  \n",
       "126           AK        Alaska   DEM            3207.0          246588.0  \n",
       "127           AK        Alaska   LIB             503.0          246588.0  \n",
       "128           AK        Alaska   GRN             153.0          246588.0  \n",
       "129           AK        Alaska   OTH             142.0          246588.0  \n",
       "130           AK        Alaska   GOP            4497.0          246588.0  \n",
       "131           AK        Alaska   DEM            3207.0          246588.0  \n",
       "132           AK        Alaska   LIB             503.0          246588.0  \n",
       "133           AK        Alaska   GRN             153.0          246588.0  \n",
       "134           AK        Alaska   OTH             142.0          246588.0  \n",
       "135           AK        Alaska   GOP            4497.0          246588.0  \n",
       "136           AK        Alaska   DEM            3207.0          246588.0  \n",
       "137           AK        Alaska   LIB             503.0          246588.0  \n",
       "138           AK        Alaska   GRN             153.0          246588.0  \n",
       "139           AK        Alaska   OTH             142.0          246588.0  \n",
       "140           AK        Alaska   GOP            4497.0          246588.0  \n",
       "141           AK        Alaska   DEM            3207.0          246588.0  \n",
       "142           AK        Alaska   LIB             503.0          246588.0  \n",
       "143           AK        Alaska   GRN             153.0          246588.0  \n",
       "144           AK        Alaska   OTH             142.0          246588.0  \n",
       "\n",
       "[145 rows x 11 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# scale Alaska by number of counties\n",
    "combined.loc[(combined['state_abbr'] == 'AK'),'votes_total_2016'] = (combined['votes_total_2016'][combined['state_abbr'] == 'AK']/ak_counties).astype(int)\n",
    "combined[combined['state_abbr'] == 'AK']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Combined dataset has 14421 total items\n",
      "Filtered dataset has 6282 D and R items\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined</th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>county_name</th>\n",
       "      <th>fips_class_code</th>\n",
       "      <th>total_votes_2016</th>\n",
       "      <th>votes_dem_2016</th>\n",
       "      <th>votes_gop_2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>280272.0</td>\n",
       "      <td>260223.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>DCdistrictofcolumbia</td>\n",
       "      <td>DC</td>\n",
       "      <td>11</td>\n",
       "      <td>001</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>H6</td>\n",
       "      <td>280272.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11553.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  combined state_abbr state_fips county_fips  \\\n",
       "1559  DCdistrictofcolumbia         DC         11         001   \n",
       "1560  DCdistrictofcolumbia         DC         11         001   \n",
       "\n",
       "               county_name fips_class_code  total_votes_2016  votes_dem_2016  \\\n",
       "1559  District of Columbia              H6          280272.0        260223.0   \n",
       "1560  District of Columbia              H6          280272.0             0.0   \n",
       "\n",
       "      votes_gop_2016  \n",
       "1559             0.0  \n",
       "1560         11553.0  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# return unique dataset\n",
    "county_level_combined = combined.drop_duplicates()\n",
    "print('Combined dataset has ' + str(county_level_combined.shape[0]) + ' total items')\n",
    "                                                   \n",
    "# return only D and R results\n",
    "county_level_combined = county_level_combined[(county_level_combined['party'] == 'GOP') | (county_level_combined['party'] == 'DEM')]\n",
    "print('Filtered dataset has ' + str(county_level_combined.shape[0]) + ' D and R items')\n",
    "\n",
    "# flatten dataset by adding votes by R and D columns\n",
    "county_level_combined['votes_dem_2016'] = county_level_combined['votes_total_2016'].where(county_level_combined['party'] == 'DEM',0).astype('float64')\n",
    "county_level_combined['votes_gop_2016'] = county_level_combined['votes_total_2016'].where(county_level_combined['party'] == 'GOP',0).astype('float64')\n",
    "\n",
    "# drop party and party-level totals and other columns\n",
    "county_level_combined.drop(['party','votes_total_2016','state_abbr_r','county_name_r'], axis=1, inplace=True)\n",
    "\n",
    "county_level_combined[(county_level_combined['state_abbr'] == 'DC')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Joined dataset has 3113 items\n",
      "Joined dataset has 3141 items\n",
      "2016 dataset has 3141 items\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>votes_dem_2016</th>\n",
       "      <th>votes_gop_2016</th>\n",
       "      <th>total_votes_2016</th>\n",
       "      <th>per_dem_2016</th>\n",
       "      <th>per_gop_2016</th>\n",
       "      <th>diff_2016</th>\n",
       "      <th>per_point_diff_2016</th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>FIPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>260223.0</td>\n",
       "      <td>11553.0</td>\n",
       "      <td>280272.0</td>\n",
       "      <td>0.928466</td>\n",
       "      <td>0.041221</td>\n",
       "      <td>248670</td>\n",
       "      <td>0.887245</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>11001</td>\n",
       "      <td>11001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     votes_dem_2016  votes_gop_2016  total_votes_2016  per_dem_2016  \\\n",
       "316        260223.0         11553.0          280272.0      0.928466   \n",
       "\n",
       "     per_gop_2016  diff_2016  per_point_diff_2016 state_abbr  \\\n",
       "316      0.041221     248670             0.887245         DC   \n",
       "\n",
       "              county_name combined_fips   FIPS  \n",
       "316  District of Columbia         11001  11001  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pivot data to consolidate\n",
    "party_pivot = pd.pivot_table(county_level_combined,index=[\"combined\"],values=[\"votes_gop_2016\",\"votes_dem_2016\"],aggfunc=np.sum)\n",
    "total_pivot = pd.pivot_table(county_level_combined,index=[\"combined\"],values=[\"total_votes_2016\"],aggfunc=np.mean)\n",
    "\n",
    "# join party and total pivots\n",
    "combined_pivot = party_pivot.join(total_pivot, lsuffix='', rsuffix='_r')\n",
    "print('Joined dataset has ' + str(combined_pivot.shape[0]) + ' items')\n",
    "combined_pivot\n",
    "\n",
    "# add percentages for each R and D of total votes\n",
    "# calculate percentage of total vote per major candidates\n",
    "combined_pivot['per_dem_2016'] = combined_pivot['votes_dem_2016'] / combined_pivot['total_votes_2016']\n",
    "combined_pivot['per_gop_2016'] = combined_pivot['votes_gop_2016'] / combined_pivot['total_votes_2016']\n",
    "combined_pivot['diff_2016'] = abs(combined_pivot['votes_gop_2016'] - combined_pivot['votes_dem_2016']).astype(int)\n",
    "# combined_pivot['per_point_diff_2016'] = abs(combined_pivot['per_dem_2016'] - combined_pivot['per_gop_2016']).map('{:,.2%}'.format)\n",
    "combined_pivot['per_point_diff_2016'] = combined_pivot['per_dem_2016'] - combined_pivot['per_gop_2016']\n",
    "\n",
    "# join pivotted and unpivotted data\n",
    "right = census.set_index('combined')\n",
    "# left = combined_pivot.set_index('combined')\n",
    "\n",
    "county_level_2016 = combined_pivot.join(right, lsuffix='', rsuffix='_r')\n",
    "county_level_2016 = county_level_2016.reset_index()\n",
    "print('Joined dataset has ' + str(county_level_2016.shape[0]) + ' items')\n",
    "\n",
    "# create FIPS column for d3.js visualizations\n",
    "county_level_2016['combined_fips'] = county_level_2016['state_fips'].apply(lambda x: x.lstrip('0')) + county_level_2016['county_fips'].astype('str')\n",
    "# create another FIPS column for vincent visualizations\n",
    "county_level_2016['FIPS'] = county_level_2016['state_fips'].astype('str') + county_level_2016['county_fips'].astype('str')\n",
    "\n",
    "# drop irrelevant columns\n",
    "county_level_2016 = county_level_2016.drop(['combined','county_fips','state_fips','fips_class_code'], axis=1)\n",
    "print('2016 dataset has ' + str(county_level_2016.shape[0]) + ' items')\n",
    "\n",
    "# view data by selected state\n",
    "county_level_2016[county_level_2016['state_abbr'] == 'DC']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Final dataset has 3141 items\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>votes_dem_2016</th>\n",
       "      <th>votes_gop_2016</th>\n",
       "      <th>total_votes_2016</th>\n",
       "      <th>per_dem_2016</th>\n",
       "      <th>per_gop_2016</th>\n",
       "      <th>diff_2016</th>\n",
       "      <th>per_point_diff_2016</th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>county_name</th>\n",
       "      <th>FIPS</th>\n",
       "      <th>total_votes_2012</th>\n",
       "      <th>votes_dem_2012</th>\n",
       "      <th>votes_gop_2012</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>per_dem_2012</th>\n",
       "      <th>per_gop_2012</th>\n",
       "      <th>diff_2012</th>\n",
       "      <th>per_point_diff_2012</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>11001</td>\n",
       "      <td>260223.0</td>\n",
       "      <td>11553.0</td>\n",
       "      <td>280272.0</td>\n",
       "      <td>0.928466</td>\n",
       "      <td>0.041221</td>\n",
       "      <td>248670</td>\n",
       "      <td>0.887245</td>\n",
       "      <td>DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>11001</td>\n",
       "      <td>243348.0</td>\n",
       "      <td>222332.0</td>\n",
       "      <td>17337.0</td>\n",
       "      <td>001</td>\n",
       "      <td>11</td>\n",
       "      <td>0.913638</td>\n",
       "      <td>0.071244</td>\n",
       "      <td>204995.0</td>\n",
       "      <td>0.842394</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    combined_fips  votes_dem_2016  votes_gop_2016  total_votes_2016  \\\n",
       "316         11001        260223.0         11553.0          280272.0   \n",
       "\n",
       "     per_dem_2016  per_gop_2016  diff_2016  per_point_diff_2016 state_abbr  \\\n",
       "316      0.928466      0.041221     248670             0.887245         DC   \n",
       "\n",
       "              county_name   FIPS  total_votes_2012  votes_dem_2012  \\\n",
       "316  District of Columbia  11001          243348.0        222332.0   \n",
       "\n",
       "     votes_gop_2012 county_fips state_fips  per_dem_2012  per_gop_2012  \\\n",
       "316         17337.0         001         11      0.913638      0.071244   \n",
       "\n",
       "     diff_2012  per_point_diff_2012  \n",
       "316   204995.0             0.842394  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# join 2012 and 2016 data\n",
    "left = county_level_2016.set_index('combined_fips')\n",
    "right = county_level_2012.set_index('combined_fips')\n",
    "\n",
    "county_level_final = left.join(right, lsuffix='', rsuffix='_r')\n",
    "county_level_final = county_level_final.reset_index()\n",
    "print('Final dataset has ' + str(county_level_final.shape[0]) + ' items')\n",
    "\n",
    "# view by state\n",
    "county_level_final[county_level_final['state_abbr'] == 'DC']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state_abbr</th>\n",
       "      <th>combined_fips</th>\n",
       "      <th>state_fips</th>\n",
       "      <th>county_fips</th>\n",
       "      <th>FIPS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>CA</td>\n",
       "      <td>6001</td>\n",
       "      <td>06</td>\n",
       "      <td>001</td>\n",
       "      <td>06001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>CA</td>\n",
       "      <td>6003</td>\n",
       "      <td>06</td>\n",
       "      <td>003</td>\n",
       "      <td>06003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>CA</td>\n",
       "      <td>6005</td>\n",
       "      <td>06</td>\n",
       "      <td>005</td>\n",
       "      <td>06005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>CA</td>\n",
       "      <td>6007</td>\n",
       "      <td>06</td>\n",
       "      <td>007</td>\n",
       "      <td>06007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>CA</td>\n",
       "      <td>6009</td>\n",
       "      <td>06</td>\n",
       "      <td>009</td>\n",
       "      <td>06009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>CA</td>\n",
       "      <td>6011</td>\n",
       "      <td>06</td>\n",
       "      <td>011</td>\n",
       "      <td>06011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>CA</td>\n",
       "      <td>6013</td>\n",
       "      <td>06</td>\n",
       "      <td>013</td>\n",
       "      <td>06013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>CA</td>\n",
       "      <td>6015</td>\n",
       "      <td>06</td>\n",
       "      <td>015</td>\n",
       "      <td>06015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>CA</td>\n",
       "      <td>6017</td>\n",
       "      <td>06</td>\n",
       "      <td>017</td>\n",
       "      <td>06017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>CA</td>\n",
       "      <td>6019</td>\n",
       "      <td>06</td>\n",
       "      <td>019</td>\n",
       "      <td>06019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>CA</td>\n",
       "      <td>6021</td>\n",
       "      <td>06</td>\n",
       "      <td>021</td>\n",
       "      <td>06021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>CA</td>\n",
       "      <td>6023</td>\n",
       "      <td>06</td>\n",
       "      <td>023</td>\n",
       "      <td>06023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>CA</td>\n",
       "      <td>6025</td>\n",
       "      <td>06</td>\n",
       "      <td>025</td>\n",
       "      <td>06025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>CA</td>\n",
       "      <td>6027</td>\n",
       "      <td>06</td>\n",
       "      <td>027</td>\n",
       "      <td>06027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>CA</td>\n",
       "      <td>6029</td>\n",
       "      <td>06</td>\n",
       "      <td>029</td>\n",
       "      <td>06029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>CA</td>\n",
       "      <td>6031</td>\n",
       "      <td>06</td>\n",
       "      <td>031</td>\n",
       "      <td>06031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>CA</td>\n",
       "      <td>6033</td>\n",
       "      <td>06</td>\n",
       "      <td>033</td>\n",
       "      <td>06033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>CA</td>\n",
       "      <td>6035</td>\n",
       "      <td>06</td>\n",
       "      <td>035</td>\n",
       "      <td>06035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>CA</td>\n",
       "      <td>6037</td>\n",
       "      <td>06</td>\n",
       "      <td>037</td>\n",
       "      <td>06037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>CA</td>\n",
       "      <td>6039</td>\n",
       "      <td>06</td>\n",
       "      <td>039</td>\n",
       "      <td>06039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>CA</td>\n",
       "      <td>6041</td>\n",
       "      <td>06</td>\n",
       "      <td>041</td>\n",
       "      <td>06041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>CA</td>\n",
       "      <td>6043</td>\n",
       "      <td>06</td>\n",
       "      <td>043</td>\n",
       "      <td>06043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>CA</td>\n",
       "      <td>6045</td>\n",
       "      <td>06</td>\n",
       "      <td>045</td>\n",
       "      <td>06045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>CA</td>\n",
       "      <td>6047</td>\n",
       "      <td>06</td>\n",
       "      <td>047</td>\n",
       "      <td>06047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>CA</td>\n",
       "      <td>6049</td>\n",
       "      <td>06</td>\n",
       "      <td>049</td>\n",
       "      <td>06049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>CA</td>\n",
       "      <td>6051</td>\n",
       "      <td>06</td>\n",
       "      <td>051</td>\n",
       "      <td>06051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>CA</td>\n",
       "      <td>6053</td>\n",
       "      <td>06</td>\n",
       "      <td>053</td>\n",
       "      <td>06053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>CA</td>\n",
       "      <td>6055</td>\n",
       "      <td>06</td>\n",
       "      <td>055</td>\n",
       "      <td>06055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>CA</td>\n",
       "      <td>6057</td>\n",
       "      <td>06</td>\n",
       "      <td>057</td>\n",
       "      <td>06057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>CA</td>\n",
       "      <td>6059</td>\n",
       "      <td>06</td>\n",
       "      <td>059</td>\n",
       "      <td>06059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>CA</td>\n",
       "      <td>6061</td>\n",
       "      <td>06</td>\n",
       "      <td>061</td>\n",
       "      <td>06061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>CA</td>\n",
       "      <td>6063</td>\n",
       "      <td>06</td>\n",
       "      <td>063</td>\n",
       "      <td>06063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>CA</td>\n",
       "      <td>6065</td>\n",
       "      <td>06</td>\n",
       "      <td>065</td>\n",
       "      <td>06065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>CA</td>\n",
       "      <td>6067</td>\n",
       "      <td>06</td>\n",
       "      <td>067</td>\n",
       "      <td>06067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>CA</td>\n",
       "      <td>6069</td>\n",
       "      <td>06</td>\n",
       "      <td>069</td>\n",
       "      <td>06069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>CA</td>\n",
       "      <td>6071</td>\n",
       "      <td>06</td>\n",
       "      <td>071</td>\n",
       "      <td>06071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>CA</td>\n",
       "      <td>6073</td>\n",
       "      <td>06</td>\n",
       "      <td>073</td>\n",
       "      <td>06073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>CA</td>\n",
       "      <td>6075</td>\n",
       "      <td>06</td>\n",
       "      <td>075</td>\n",
       "      <td>06075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>CA</td>\n",
       "      <td>6077</td>\n",
       "      <td>06</td>\n",
       "      <td>077</td>\n",
       "      <td>06077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>CA</td>\n",
       "      <td>6079</td>\n",
       "      <td>06</td>\n",
       "      <td>079</td>\n",
       "      <td>06079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>CA</td>\n",
       "      <td>6081</td>\n",
       "      <td>06</td>\n",
       "      <td>081</td>\n",
       "      <td>06081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>CA</td>\n",
       "      <td>6083</td>\n",
       "      <td>06</td>\n",
       "      <td>083</td>\n",
       "      <td>06083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>CA</td>\n",
       "      <td>6085</td>\n",
       "      <td>06</td>\n",
       "      <td>085</td>\n",
       "      <td>06085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>CA</td>\n",
       "      <td>6087</td>\n",
       "      <td>06</td>\n",
       "      <td>087</td>\n",
       "      <td>06087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>CA</td>\n",
       "      <td>6089</td>\n",
       "      <td>06</td>\n",
       "      <td>089</td>\n",
       "      <td>06089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>CA</td>\n",
       "      <td>6091</td>\n",
       "      <td>06</td>\n",
       "      <td>091</td>\n",
       "      <td>06091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>CA</td>\n",
       "      <td>6093</td>\n",
       "      <td>06</td>\n",
       "      <td>093</td>\n",
       "      <td>06093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>CA</td>\n",
       "      <td>6095</td>\n",
       "      <td>06</td>\n",
       "      <td>095</td>\n",
       "      <td>06095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>CA</td>\n",
       "      <td>6097</td>\n",
       "      <td>06</td>\n",
       "      <td>097</td>\n",
       "      <td>06097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>CA</td>\n",
       "      <td>6099</td>\n",
       "      <td>06</td>\n",
       "      <td>099</td>\n",
       "      <td>06099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>CA</td>\n",
       "      <td>6101</td>\n",
       "      <td>06</td>\n",
       "      <td>101</td>\n",
       "      <td>06101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>CA</td>\n",
       "      <td>6103</td>\n",
       "      <td>06</td>\n",
       "      <td>103</td>\n",
       "      <td>06103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>CA</td>\n",
       "      <td>6105</td>\n",
       "      <td>06</td>\n",
       "      <td>105</td>\n",
       "      <td>06105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>CA</td>\n",
       "      <td>6107</td>\n",
       "      <td>06</td>\n",
       "      <td>107</td>\n",
       "      <td>06107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>CA</td>\n",
       "      <td>6109</td>\n",
       "      <td>06</td>\n",
       "      <td>109</td>\n",
       "      <td>06109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>CA</td>\n",
       "      <td>6111</td>\n",
       "      <td>06</td>\n",
       "      <td>111</td>\n",
       "      <td>06111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>CA</td>\n",
       "      <td>6113</td>\n",
       "      <td>06</td>\n",
       "      <td>113</td>\n",
       "      <td>06113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>CA</td>\n",
       "      <td>6115</td>\n",
       "      <td>06</td>\n",
       "      <td>115</td>\n",
       "      <td>06115</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    state_abbr combined_fips state_fips county_fips   FIPS\n",
       "186         CA          6001         06         001  06001\n",
       "187         CA          6003         06         003  06003\n",
       "188         CA          6005         06         005  06005\n",
       "189         CA          6007         06         007  06007\n",
       "190         CA          6009         06         009  06009\n",
       "191         CA          6011         06         011  06011\n",
       "192         CA          6013         06         013  06013\n",
       "193         CA          6015         06         015  06015\n",
       "194         CA          6017         06         017  06017\n",
       "195         CA          6019         06         019  06019\n",
       "196         CA          6021         06         021  06021\n",
       "197         CA          6023         06         023  06023\n",
       "198         CA          6025         06         025  06025\n",
       "199         CA          6027         06         027  06027\n",
       "200         CA          6029         06         029  06029\n",
       "201         CA          6031         06         031  06031\n",
       "202         CA          6033         06         033  06033\n",
       "203         CA          6035         06         035  06035\n",
       "204         CA          6037         06         037  06037\n",
       "205         CA          6039         06         039  06039\n",
       "206         CA          6041         06         041  06041\n",
       "207         CA          6043         06         043  06043\n",
       "208         CA          6045         06         045  06045\n",
       "209         CA          6047         06         047  06047\n",
       "210         CA          6049         06         049  06049\n",
       "211         CA          6051         06         051  06051\n",
       "212         CA          6053         06         053  06053\n",
       "213         CA          6055         06         055  06055\n",
       "214         CA          6057         06         057  06057\n",
       "215         CA          6059         06         059  06059\n",
       "216         CA          6061         06         061  06061\n",
       "217         CA          6063         06         063  06063\n",
       "218         CA          6065         06         065  06065\n",
       "219         CA          6067         06         067  06067\n",
       "220         CA          6069         06         069  06069\n",
       "221         CA          6071         06         071  06071\n",
       "222         CA          6073         06         073  06073\n",
       "223         CA          6075         06         075  06075\n",
       "224         CA          6077         06         077  06077\n",
       "225         CA          6079         06         079  06079\n",
       "226         CA          6081         06         081  06081\n",
       "227         CA          6083         06         083  06083\n",
       "228         CA          6085         06         085  06085\n",
       "229         CA          6087         06         087  06087\n",
       "230         CA          6089         06         089  06089\n",
       "231         CA          6091         06         091  06091\n",
       "232         CA          6093         06         093  06093\n",
       "233         CA          6095         06         095  06095\n",
       "234         CA          6097         06         097  06097\n",
       "235         CA          6099         06         099  06099\n",
       "236         CA          6101         06         101  06101\n",
       "237         CA          6103         06         103  06103\n",
       "238         CA          6105         06         105  06105\n",
       "239         CA          6107         06         107  06107\n",
       "240         CA          6109         06         109  06109\n",
       "241         CA          6111         06         111  06111\n",
       "242         CA          6113         06         113  06113\n",
       "243         CA          6115         06         115  06115"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gut checks\n",
    "# view number of non-unique fips codes\n",
    "a = dict(Counter(county_level_final['combined_fips']))\n",
    "b = list(a.values())\n",
    "print([num for num in b if num != 1])\n",
    "\n",
    "# check each state for consistency between combined, state, and county fips codes\n",
    "gut_check = county_level_final[['state_abbr','combined_fips','state_fips','county_fips','FIPS']]\n",
    "gut_check[gut_check['state_abbr'] == 'CA']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Export data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "county_level_final.to_csv('US_County_Level_Presidential_Results_12-16.csv',sep=',')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#tutorial on vincent choropleths:\n",
    "# http://wrobstory.github.io/2013/04/python-maps-choropleth.html\n",
    "# http://wrobstory.github.io/2013/10/mapping-data-python.html\n",
    "geo_data = [{'name': 'counties',\n",
    "             'url': 'https://raw.githubusercontent.com/wrobstory/vincent_map_data/master/us_counties.topo.json',\n",
    "             'feature': 'us_counties.geo'},\n",
    "            {'name': 'states',\n",
    "             'url': 'https://raw.githubusercontent.com/wrobstory/vincent_map_data/master/us_states.topo.json',\n",
    "             'feature': 'us_states.geo'}\n",
    "             ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<script>\n",
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       "       if (typeof vg === 'undefined') {\n",
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\"us_states.geo\", \"type\": \"topojson\"}, \"name\": \"states\", \"transform\": [{\"projection\": \"albersUsa\", \"scale\": 1100, \"translate\": [480.0, 250.0], \"type\": \"geopath\", \"value\": \"data\"}], \"url\": \"https://raw.githubusercontent.com/wrobstory/vincent_map_data/master/us_states.topo.json\"}], \"height\": 500, \"legends\": [{\"fill\": \"color\", \"offset\": 0, \"properties\": {}, \"title\": \"2012 US Presidential Election Results by County\"}], \"marks\": [{\"from\": {\"data\": \"counties\"}, \"properties\": {\"enter\": {\"path\": {\"field\": \"path\"}, \"stroke\": {\"value\": \"#000000\"}, \"strokeOpacity\": {\"value\": 0.1}}, \"update\": {\"fill\": {\"field\": \"value.data.y\", \"scale\": \"color\"}}}, \"type\": \"path\"}, {\"from\": {\"data\": \"states\"}, \"properties\": {\"enter\": {\"path\": {\"field\": \"path\"}, \"stroke\": {\"value\": \"#fff\"}}}, \"type\": \"path\"}], \"padding\": \"auto\", \"scales\": [{\"domain\": [-1, 1], \"name\": \"color\", \"range\": [\"#67001f\", \"#b2182b\", \"#d6604d\", \"#f4a582\", \"#fddbc7\", \"#f7f7f7\", \"#d1e5f0\", \"#92c5de\", \"#4393c3\", \"#2166ac\", \"#053061\"], \"type\": \"quantize\"}], \"width\": 960}, function(chart) {\n",
       "         chart({el: \"#visb9d69c416607458daf3945b19e1a18d5\"}).update();\n",
       "       });\n",
       "     };\n",
       "     _do_plot();\n",
       "   })();\n",
       "</script>\n",
       "<style>.vega canvas {width: 100%;}</style>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vis = vincent.Map(data=county_level_final, geo_data=geo_data, scale=1100, projection='albersUsa',\n",
    "          data_bind='per_point_diff_2012', data_key='FIPS',\n",
    "          map_key={'counties': 'properties.FIPS'})\n",
    "\n",
    "#Get rid of State fill, customize stroke color\n",
    "del vis.marks[1].properties.update\n",
    "\n",
    "vis.marks[0].properties.enter.stroke_opacity = vincent.ValueRef(value=0.1)\n",
    "vis.marks[1].properties.enter.stroke.value = '#fff'\n",
    "\n",
    "vis.to_json('vega.json')\n",
    "\n",
    "vis.rebind(column='per_point_diff_2012', brew='RdBu')\n",
    "vis.scales['color'].domain = [-1, 1]\n",
    "vis.legend(title='2012 US Presidential Election Results by County')\n",
    "vis.display()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<script>\n",
       "   ( function() {\n",
       "     var _do_plot = function() {\n",
       "       if (typeof vg === 'undefined') {\n",
       "         window.addEventListener('vincent_libs_loaded', _do_plot)\n",
       "         return;\n",
       "       }\n",
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-0.652793745688664}, {\"x\": \"56021\", \"y\": -0.3322568531731131}, {\"x\": \"56023\", \"y\": -0.67563705644201}, {\"x\": \"56025\", \"y\": -0.5216508170990675}, {\"x\": \"56027\", \"y\": -0.771781033153431}, {\"x\": \"56029\", \"y\": -0.5863058630586306}, {\"x\": \"56031\", \"y\": -0.6094170403587444}, {\"x\": \"56033\", \"y\": -0.5173750616761824}, {\"x\": \"56035\", \"y\": -0.6434721898999302}, {\"x\": \"56037\", \"y\": -0.5353820298901627}, {\"x\": \"56039\", \"y\": 0.2786629434954008}, {\"x\": \"56041\", \"y\": -0.6149261144914939}, {\"x\": \"56043\", \"y\": -0.6403768506056527}, {\"x\": \"56045\", \"y\": -0.7810437912417516}]}, {\"format\": {\"feature\": \"us_counties.geo\", \"type\": \"topojson\"}, \"name\": \"counties\", \"transform\": [{\"as\": \"value\", \"default\": \"noval\", \"key\": \"data.properties.FIPS\", \"type\": \"zip\", \"with\": \"table\", \"withKey\": \"data.x\"}, {\"test\": \"d.path!='noval' && d.value!='noval'\", \"type\": \"filter\"}, {\"projection\": \"albersUsa\", \"scale\": 1100, \"translate\": [480.0, 250.0], \"type\": \"geopath\", \"value\": \"data\"}], \"url\": \"https://raw.githubusercontent.com/wrobstory/vincent_map_data/master/us_counties.topo.json\"}, {\"format\": {\"feature\": \"us_states.geo\", \"type\": \"topojson\"}, \"name\": \"states\", \"transform\": [{\"projection\": \"albersUsa\", \"scale\": 1100, \"translate\": [480.0, 250.0], \"type\": \"geopath\", \"value\": \"data\"}], \"url\": \"https://raw.githubusercontent.com/wrobstory/vincent_map_data/master/us_states.topo.json\"}], \"height\": 500, \"legends\": [{\"fill\": \"color\", \"offset\": 0, \"properties\": {}, \"title\": \"2016 US Presidential Election Results by County\"}], \"marks\": [{\"from\": {\"data\": \"counties\"}, \"properties\": {\"enter\": {\"path\": {\"field\": \"path\"}, \"stroke\": {\"value\": \"#000000\"}, \"strokeOpacity\": {\"value\": 0.1}}, \"update\": {\"fill\": {\"field\": \"value.data.y\", \"scale\": \"color\"}}}, \"type\": \"path\"}, {\"from\": {\"data\": \"states\"}, \"properties\": {\"enter\": {\"path\": {\"field\": \"path\"}, \"stroke\": {\"value\": \"#fff\"}}}, \"type\": \"path\"}], \"padding\": \"auto\", \"scales\": [{\"domain\": [-1, 1], \"name\": \"color\", \"range\": [\"#67001f\", \"#b2182b\", \"#d6604d\", \"#f4a582\", \"#fddbc7\", \"#f7f7f7\", \"#d1e5f0\", \"#92c5de\", \"#4393c3\", \"#2166ac\", \"#053061\"], \"type\": \"quantize\"}], \"width\": 960}, function(chart) {\n",
       "         chart({el: \"#vis857913fccfc94d9c8e225f3f264a1e50\"}).update();\n",
       "       });\n",
       "     };\n",
       "     _do_plot();\n",
       "   })();\n",
       "</script>\n",
       "<style>.vega canvas {width: 100%;}</style>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vis = vincent.Map(data=county_level_final, geo_data=geo_data, scale=1100, projection='albersUsa',\n",
    "          data_bind='per_point_diff_2016', data_key='FIPS',\n",
    "          map_key={'counties': 'properties.FIPS'})\n",
    "\n",
    "#Get rid of State fill, customize stroke color\n",
    "del vis.marks[1].properties.update\n",
    "\n",
    "vis.marks[0].properties.enter.stroke_opacity = vincent.ValueRef(value=0.1)\n",
    "vis.marks[1].properties.enter.stroke.value = '#fff'\n",
    "\n",
    "vis.to_json('vega.json')\n",
    "\n",
    "vis.rebind(column='per_point_diff_2016', brew='RdBu')\n",
    "vis.scales['color'].domain = [-1, 1]\n",
    "vis.legend(title='2016 US Presidential Election Results by County')\n",
    "vis.display()"
   ]
  },
  {
   "cell_type": "code",
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