Pandas PIAIC Assignment.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1> Part One</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import glob\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = ['states0.csv', 'states1.csv', 'states2.csv', 'states3.csv', 'states4.csv', \n",
    "           'states5.csv', 'states6.csv', 'states7.csv', 'states8.csv', 'states9.csv']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_files = glob.glob(\"states*.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "li = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "for filename in all_files:\n",
    "    df = pd.read_csv(filename, index_col=None, header=0)\n",
    "    li.append(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census = pd.concat(li, axis=0, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>$43296.35860306644</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>$70354.74390243902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>$54207.82095490716</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>$41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>$67264.78230266465</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0       State  TotalPop             Hispanic                White  \\\n",
       "0           0     Alabama   4830620  3.7516156462584975%     61.878656462585%   \n",
       "1           1      Alaska    733375   5.909580838323351%  60.910179640718574%   \n",
       "2           2     Arizona   6641928  29.565921052631502%  57.120000000000026%   \n",
       "3           3    Arkansas   2958208   6.215474452554738%   71.13781021897813%   \n",
       "4           4  California  38421464  37.291874687968054%   40.21578881677474%   \n",
       "\n",
       "                 Black                Native                Asian  \\\n",
       "0   31.25297619047618%   0.4532312925170065%  1.0502551020408146%   \n",
       "1  2.8485029940119775%    16.39101796407186%   5.450299401197604%   \n",
       "2  3.8509868421052658%     4.35506578947368%   2.876578947368419%   \n",
       "3  18.968759124087573%   0.5229197080291965%  1.1423357664233578%   \n",
       "4   5.677396405391911%  0.40529206190713685%  13.052234148776776%   \n",
       "\n",
       "                Pacific              Income            GenderPop  \n",
       "0  0.03435374149659865%  $43296.35860306644    2341093M_2489527F  \n",
       "1   1.0586826347305378%  $70354.74390243902      384160M_349215F  \n",
       "2  0.16763157894736833%  $54207.82095490716    3299088M_3342840F  \n",
       "3  0.14686131386861315%  $41935.63396778917    1451913M_1506295F  \n",
       "4  0.35141038442336353%  $67264.78230266465  19087135M_19334329F  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_cesus.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60, 11)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_cesus.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'State', 'TotalPop', 'Hispanic', 'White', 'Black',\n",
       "       'Native', 'Asian', 'Pacific', 'Income', 'GenderPop'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    " us_census.loc[:, 'Income'] = us_census.loc[:, 'Income'].str.replace('$', \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.35860306644</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.74390243902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.82095490716</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.78230266465</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.5605875153</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.97663551402</td>\n",
       "      <td>448413M_478041F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.36363636363</td>\n",
       "      <td>306674M_340810F</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0           0               Alabama   4830620  3.7516156462584975%   \n",
       "1           1                Alaska    733375   5.909580838323351%   \n",
       "2           2               Arizona   6641928  29.565921052631502%   \n",
       "3           3              Arkansas   2958208   6.215474452554738%   \n",
       "4           4            California  38421464  37.291874687968054%   \n",
       "5           5              Colorado   5278906   20.78438003220608%   \n",
       "6           0              Colorado   5278906   20.78438003220608%   \n",
       "7           1           Connecticut   3593222  15.604830917874388%   \n",
       "8           2              Delaware    926454    8.82476635514019%   \n",
       "9           3  District of Columbia    647484   9.165921787709499%   \n",
       "\n",
       "                 White                Black                Native  \\\n",
       "0     61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1  60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2  57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3   71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4   40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7    67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8   64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9  33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "\n",
       "                 Asian                Pacific              Income  \\\n",
       "0  1.0502551020408146%   0.03435374149659865%   43296.35860306644   \n",
       "1   5.450299401197604%    1.0586826347305378%   70354.74390243902   \n",
       "2   2.876578947368419%   0.16763157894736833%   54207.82095490716   \n",
       "3  1.1423357664233578%   0.14686131386861315%   41935.63396778917   \n",
       "4  13.052234148776776%   0.35141038442336353%   67264.78230266465   \n",
       "5   2.661996779388082%                    NaN  64657.801787164906   \n",
       "6   2.661996779388082%                    NaN  64657.801787164906   \n",
       "7   4.021980676328502%  0.018599033816425123%    76146.5605875153   \n",
       "8  3.2686915887850483%                    NaN   61827.97663551402   \n",
       "9  3.3832402234636865%  0.029608938547486034%   75466.36363636363   \n",
       "\n",
       "             GenderPop  \n",
       "0    2341093M_2489527F  \n",
       "1      384160M_349215F  \n",
       "2    3299088M_3342840F  \n",
       "3    1451913M_1506295F  \n",
       "4  19087135M_19334329F  \n",
       "5    2648667M_2630239F  \n",
       "6    2648667M_2630239F  \n",
       "7    1751607M_1841615F  \n",
       "8      448413M_478041F  \n",
       "9      306674M_340810F  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census[['Men', 'Women']] = us_census.GenderPop.str.split('_', expand=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.35860306644</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "      <td>2341093M</td>\n",
       "      <td>2489527F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.74390243902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "      <td>384160M</td>\n",
       "      <td>349215F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.82095490716</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "      <td>3299088M</td>\n",
       "      <td>3342840F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913M</td>\n",
       "      <td>1506295F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.78230266465</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "      <td>19087135M</td>\n",
       "      <td>19334329F</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667M</td>\n",
       "      <td>2630239F</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667M</td>\n",
       "      <td>2630239F</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.5605875153</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "      <td>1751607M</td>\n",
       "      <td>1841615F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.97663551402</td>\n",
       "      <td>448413M_478041F</td>\n",
       "      <td>448413M</td>\n",
       "      <td>478041F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.36363636363</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674M</td>\n",
       "      <td>340810F</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0           0               Alabama   4830620  3.7516156462584975%   \n",
       "1           1                Alaska    733375   5.909580838323351%   \n",
       "2           2               Arizona   6641928  29.565921052631502%   \n",
       "3           3              Arkansas   2958208   6.215474452554738%   \n",
       "4           4            California  38421464  37.291874687968054%   \n",
       "5           5              Colorado   5278906   20.78438003220608%   \n",
       "6           0              Colorado   5278906   20.78438003220608%   \n",
       "7           1           Connecticut   3593222  15.604830917874388%   \n",
       "8           2              Delaware    926454    8.82476635514019%   \n",
       "9           3  District of Columbia    647484   9.165921787709499%   \n",
       "\n",
       "                 White                Black                Native  \\\n",
       "0     61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1  60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2  57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3   71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4   40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7    67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8   64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9  33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "\n",
       "                 Asian                Pacific              Income  \\\n",
       "0  1.0502551020408146%   0.03435374149659865%   43296.35860306644   \n",
       "1   5.450299401197604%    1.0586826347305378%   70354.74390243902   \n",
       "2   2.876578947368419%   0.16763157894736833%   54207.82095490716   \n",
       "3  1.1423357664233578%   0.14686131386861315%   41935.63396778917   \n",
       "4  13.052234148776776%   0.35141038442336353%   67264.78230266465   \n",
       "5   2.661996779388082%                    NaN  64657.801787164906   \n",
       "6   2.661996779388082%                    NaN  64657.801787164906   \n",
       "7   4.021980676328502%  0.018599033816425123%    76146.5605875153   \n",
       "8  3.2686915887850483%                    NaN   61827.97663551402   \n",
       "9  3.3832402234636865%  0.029608938547486034%   75466.36363636363   \n",
       "\n",
       "             GenderPop        Men      Women  \n",
       "0    2341093M_2489527F   2341093M   2489527F  \n",
       "1      384160M_349215F    384160M    349215F  \n",
       "2    3299088M_3342840F   3299088M   3342840F  \n",
       "3    1451913M_1506295F   1451913M   1506295F  \n",
       "4  19087135M_19334329F  19087135M  19334329F  \n",
       "5    2648667M_2630239F   2648667M   2630239F  \n",
       "6    2648667M_2630239F   2648667M   2630239F  \n",
       "7    1751607M_1841615F   1751607M   1841615F  \n",
       "8      448413M_478041F    448413M    478041F  \n",
       "9      306674M_340810F    306674M    340810F  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
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       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
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       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.82095490716</td>\n",
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       "      <td>3299088</td>\n",
       "      <td>3342840</td>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913</td>\n",
       "      <td>1506295</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
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       "      <td>19087135</td>\n",
       "      <td>19334329</td>\n",
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       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
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       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
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       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
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       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
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       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
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       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>478041</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.36363636363</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674</td>\n",
       "      <td>340810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0           0               Alabama   4830620  3.7516156462584975%   \n",
       "1           1                Alaska    733375   5.909580838323351%   \n",
       "2           2               Arizona   6641928  29.565921052631502%   \n",
       "3           3              Arkansas   2958208   6.215474452554738%   \n",
       "4           4            California  38421464  37.291874687968054%   \n",
       "5           5              Colorado   5278906   20.78438003220608%   \n",
       "6           0              Colorado   5278906   20.78438003220608%   \n",
       "7           1           Connecticut   3593222  15.604830917874388%   \n",
       "8           2              Delaware    926454    8.82476635514019%   \n",
       "9           3  District of Columbia    647484   9.165921787709499%   \n",
       "\n",
       "                 White                Black                Native  \\\n",
       "0     61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1  60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2  57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3   71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4   40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7    67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8   64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9  33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "\n",
       "                 Asian                Pacific              Income  \\\n",
       "0  1.0502551020408146%   0.03435374149659865%   43296.35860306644   \n",
       "1   5.450299401197604%    1.0586826347305378%   70354.74390243902   \n",
       "2   2.876578947368419%   0.16763157894736833%   54207.82095490716   \n",
       "3  1.1423357664233578%   0.14686131386861315%   41935.63396778917   \n",
       "4  13.052234148776776%   0.35141038442336353%   67264.78230266465   \n",
       "5   2.661996779388082%                    NaN  64657.801787164906   \n",
       "6   2.661996779388082%                    NaN  64657.801787164906   \n",
       "7   4.021980676328502%  0.018599033816425123%    76146.5605875153   \n",
       "8  3.2686915887850483%                    NaN   61827.97663551402   \n",
       "9  3.3832402234636865%  0.029608938547486034%   75466.36363636363   \n",
       "\n",
       "             GenderPop       Men     Women  \n",
       "0    2341093M_2489527F   2341093   2489527  \n",
       "1      384160M_349215F    384160    349215  \n",
       "2    3299088M_3342840F   3299088   3342840  \n",
       "3    1451913M_1506295F   1451913   1506295  \n",
       "4  19087135M_19334329F  19087135  19334329  \n",
       "5    2648667M_2630239F   2648667   2630239  \n",
       "6    2648667M_2630239F   2648667   2630239  \n",
       "7    1751607M_1841615F   1751607   1841615  \n",
       "8      448413M_478041F    448413    478041  \n",
       "9      306674M_340810F    306674    340810  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.loc[:, 'Men'] = us_census.loc[:, 'Men'].str.replace(\"M\", \"\")\n",
    "us_census.loc[:, 'Women'] = us_census.loc[:, 'Women'].str.replace(\"F\", \"\")\n",
    "us_census.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "us_census.Men = pd.to_numeric(us_census.Men)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.Men.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.Women.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census.Women = pd.to_numeric(us_census.Women)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.Women.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.35860306644</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "      <td>2341093</td>\n",
       "      <td>2489527.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.74390243902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "      <td>384160</td>\n",
       "      <td>349215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.82095490716</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "      <td>3299088</td>\n",
       "      <td>3342840.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913</td>\n",
       "      <td>1506295.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.78230266465</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "      <td>19087135</td>\n",
       "      <td>19334329.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.5605875153</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "      <td>1751607</td>\n",
       "      <td>1841615.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.97663551402</td>\n",
       "      <td>448413M_478041F</td>\n",
       "      <td>448413</td>\n",
       "      <td>478041.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.36363636363</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674</td>\n",
       "      <td>340810.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0           0               Alabama   4830620  3.7516156462584975%   \n",
       "1           1                Alaska    733375   5.909580838323351%   \n",
       "2           2               Arizona   6641928  29.565921052631502%   \n",
       "3           3              Arkansas   2958208   6.215474452554738%   \n",
       "4           4            California  38421464  37.291874687968054%   \n",
       "5           5              Colorado   5278906   20.78438003220608%   \n",
       "6           0              Colorado   5278906   20.78438003220608%   \n",
       "7           1           Connecticut   3593222  15.604830917874388%   \n",
       "8           2              Delaware    926454    8.82476635514019%   \n",
       "9           3  District of Columbia    647484   9.165921787709499%   \n",
       "\n",
       "                 White                Black                Native  \\\n",
       "0     61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1  60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2  57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3   71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4   40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6   69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7    67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8   64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9  33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "\n",
       "                 Asian                Pacific              Income  \\\n",
       "0  1.0502551020408146%   0.03435374149659865%   43296.35860306644   \n",
       "1   5.450299401197604%    1.0586826347305378%   70354.74390243902   \n",
       "2   2.876578947368419%   0.16763157894736833%   54207.82095490716   \n",
       "3  1.1423357664233578%   0.14686131386861315%   41935.63396778917   \n",
       "4  13.052234148776776%   0.35141038442336353%   67264.78230266465   \n",
       "5   2.661996779388082%                    NaN  64657.801787164906   \n",
       "6   2.661996779388082%                    NaN  64657.801787164906   \n",
       "7   4.021980676328502%  0.018599033816425123%    76146.5605875153   \n",
       "8  3.2686915887850483%                    NaN   61827.97663551402   \n",
       "9  3.3832402234636865%  0.029608938547486034%   75466.36363636363   \n",
       "\n",
       "             GenderPop       Men       Women  \n",
       "0    2341093M_2489527F   2341093   2489527.0  \n",
       "1      384160M_349215F    384160    349215.0  \n",
       "2    3299088M_3342840F   3299088   3342840.0  \n",
       "3    1451913M_1506295F   1451913   1506295.0  \n",
       "4  19087135M_19334329F  19087135  19334329.0  \n",
       "5    2648667M_2630239F   2648667   2630239.0  \n",
       "6    2648667M_2630239F   2648667   2630239.0  \n",
       "7    1751607M_1841615F   1751607   1841615.0  \n",
       "8      448413M_478041F    448413    478041.0  \n",
       "9      306674M_340810F    306674    340810.0  "
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(us_census.Women, us_census.Income)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(us_census.isna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(us_census.Women[us_census.Women.isna() == True])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "Women = us_census.TotalPop - us_census.Men"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2489527\n",
       "1       349215\n",
       "2      3342840\n",
       "3      1506295\n",
       "4     19334329\n",
       "5      2630239\n",
       "6      2630239\n",
       "7      1841615\n",
       "8       478041\n",
       "9       340810\n",
       "10    10045763\n",
       "11     5123362\n",
       "12     5123362\n",
       "13      696428\n",
       "14      806083\n",
       "15     6556862\n",
       "16     3333382\n",
       "17     1558931\n",
       "18     1558931\n",
       "19     1453125\n",
       "20     2233145\n",
       "21     2364097\n",
       "22      679019\n",
       "23     3057895\n",
       "24     3057895\n",
       "25     3455936\n",
       "26     5038598\n",
       "27     2727005\n",
       "28     1536358\n",
       "29     3081445\n",
       "30     3081445\n",
       "31      504536\n",
       "32      939759\n",
       "33     1390901\n",
       "34      670717\n",
       "35     4561386\n",
       "36     4561386\n",
       "37     1051703\n",
       "38    10131373\n",
       "39     5049925\n",
       "40      353677\n",
       "41     5913084\n",
       "42     5913084\n",
       "43     1942789\n",
       "44     1990780\n",
       "45     6534215\n",
       "46     1869213\n",
       "47      543273\n",
       "48      543273\n",
       "49     2455167\n",
       "50      419713\n",
       "51     3331859\n",
       "52    13367298\n",
       "53     1444150\n",
       "54     1444150\n",
       "55      318031\n",
       "56     4195682\n",
       "57     3497739\n",
       "58      937789\n",
       "59     2890732\n",
       "dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "Women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census.Women = Women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Series([], Name: Women, dtype: int64)"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.Women[us_census.Women.isna() == True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(us_census.Women, us_census.Income)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census.State.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.35860306644</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "      <td>2341093</td>\n",
       "      <td>2489527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.74390243902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "      <td>384160</td>\n",
       "      <td>349215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.82095490716</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "      <td>3299088</td>\n",
       "      <td>3342840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.63396778917</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913</td>\n",
       "      <td>1506295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.78230266465</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "      <td>19087135</td>\n",
       "      <td>19334329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787164906</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.5605875153</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "      <td>1751607</td>\n",
       "      <td>1841615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.97663551402</td>\n",
       "      <td>448413M_478041F</td>\n",
       "      <td>448413</td>\n",
       "      <td>478041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.36363636363</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674</td>\n",
       "      <td>340810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>Florida</td>\n",
       "      <td>19645772</td>\n",
       "      <td>21.3385426653884%</td>\n",
       "      <td>59.08374880153398%</td>\n",
       "      <td>15.165675934803444%</td>\n",
       "      <td>0.2104506232023015%</td>\n",
       "      <td>2.2831735378715257%</td>\n",
       "      <td>0.05151006711409391%</td>\n",
       "      <td>50690.194986743794</td>\n",
       "      <td>9600009M_10045763F</td>\n",
       "      <td>9600009</td>\n",
       "      <td>10045763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.08205128205</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.08205128205</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1406299</td>\n",
       "      <td>9.186708860759486%</td>\n",
       "      <td>25.032278481012657%</td>\n",
       "      <td>2.052848101265823%</td>\n",
       "      <td>0.1449367088607596%</td>\n",
       "      <td>36.59208860759495%</td>\n",
       "      <td>8.758860759493672%</td>\n",
       "      <td>73264.42628205128</td>\n",
       "      <td>709871M_696428F</td>\n",
       "      <td>709871</td>\n",
       "      <td>696428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1616547</td>\n",
       "      <td>11.505369127516781%</td>\n",
       "      <td>83.1362416107383%</td>\n",
       "      <td>0.5667785234899323%</td>\n",
       "      <td>1.468120805369128%</td>\n",
       "      <td>1.135906040268457%</td>\n",
       "      <td>0.1271812080536914%</td>\n",
       "      <td>48017.31543624161</td>\n",
       "      <td>810464M_806083F</td>\n",
       "      <td>810464</td>\n",
       "      <td>806083</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0            0               Alabama   4830620  3.7516156462584975%   \n",
       "1            1                Alaska    733375   5.909580838323351%   \n",
       "2            2               Arizona   6641928  29.565921052631502%   \n",
       "3            3              Arkansas   2958208   6.215474452554738%   \n",
       "4            4            California  38421464  37.291874687968054%   \n",
       "5            5              Colorado   5278906   20.78438003220608%   \n",
       "6            0                   NaN   5278906   20.78438003220608%   \n",
       "7            1           Connecticut   3593222  15.604830917874388%   \n",
       "8            2              Delaware    926454    8.82476635514019%   \n",
       "9            3  District of Columbia    647484   9.165921787709499%   \n",
       "10           4               Florida  19645772    21.3385426653884%   \n",
       "11           5               Georgia  10006693   8.418242207460397%   \n",
       "12           0                   NaN  10006693   8.418242207460397%   \n",
       "13           1                Hawaii   1406299   9.186708860759486%   \n",
       "14           2                 Idaho   1616547  11.505369127516781%   \n",
       "\n",
       "                  White                Black                Native  \\\n",
       "0      61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1   60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2   57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3    71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4    40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7     67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8    64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9   33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "10   59.08374880153398%  15.165675934803444%   0.2104506232023015%   \n",
       "11   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "12   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "13  25.032278481012657%   2.052848101265823%   0.1449367088607596%   \n",
       "14    83.1362416107383%  0.5667785234899323%    1.468120805369128%   \n",
       "\n",
       "                  Asian                Pacific              Income  \\\n",
       "0   1.0502551020408146%   0.03435374149659865%   43296.35860306644   \n",
       "1    5.450299401197604%    1.0586826347305378%   70354.74390243902   \n",
       "2    2.876578947368419%   0.16763157894736833%   54207.82095490716   \n",
       "3   1.1423357664233578%   0.14686131386861315%   41935.63396778917   \n",
       "4   13.052234148776776%   0.35141038442336353%   67264.78230266465   \n",
       "5    2.661996779388082%                    NaN  64657.801787164906   \n",
       "6    2.661996779388082%                    NaN  64657.801787164906   \n",
       "7    4.021980676328502%  0.018599033816425123%    76146.5605875153   \n",
       "8   3.2686915887850483%                    NaN   61827.97663551402   \n",
       "9   3.3832402234636865%  0.029608938547486034%   75466.36363636363   \n",
       "10  2.2831735378715257%   0.05151006711409391%  50690.194986743794   \n",
       "11  3.0976494634644895%  0.046601941747572824%   50811.08205128205   \n",
       "12  3.0976494634644895%  0.046601941747572824%   50811.08205128205   \n",
       "13   36.59208860759495%     8.758860759493672%   73264.42628205128   \n",
       "14   1.135906040268457%    0.1271812080536914%   48017.31543624161   \n",
       "\n",
       "              GenderPop       Men     Women  \n",
       "0     2341093M_2489527F   2341093   2489527  \n",
       "1       384160M_349215F    384160    349215  \n",
       "2     3299088M_3342840F   3299088   3342840  \n",
       "3     1451913M_1506295F   1451913   1506295  \n",
       "4   19087135M_19334329F  19087135  19334329  \n",
       "5     2648667M_2630239F   2648667   2630239  \n",
       "6     2648667M_2630239F   2648667   2630239  \n",
       "7     1751607M_1841615F   1751607   1841615  \n",
       "8       448413M_478041F    448413    478041  \n",
       "9       306674M_340810F    306674    340810  \n",
       "10   9600009M_10045763F   9600009  10045763  \n",
       "11    4883331M_5123362F   4883331   5123362  \n",
       "12    4883331M_5123362F   4883331   5123362  \n",
       "13      709871M_696428F    709871    696428  \n",
       "14      810464M_806083F    810464    806083  "
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "us_census.Income = pd.to_numeric(us_census.Income)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DPb0f2Nz9f/ePwOET3s8a4D+Bd88bm9h+ujk/zWixtxX4W0bfkFnRnrxUgSQ1yjNZJalRBrwkNcqAl6RGGfCS1CgDXpIaZcBLUqMMeElq1P8DsMujjWoo2woAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(us_census.Income)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEFCAYAAAAYKqc0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAN2klEQVR4nO3dbawcZRnG8evSoonQaEkP2GDlKCEoGmmbk4KtIajRlDam8oGEhhiMTaoJGEiISYOJ8rEmAsZETao0YoIYFVBi8aWpJIi86CkpfUnlRTxqoWkPAkI/KeX2w05lXc92Z3dmZ07v/n/JZmdnnuc89xkerjOdnZ11RAgAkMub2i4AAFA/wh0AEiLcASAhwh0AEiLcASChBU0Otnjx4picnGxySAA46e3ateuFiJgYpk+j4T45Oanp6ekmhwSAk57tvw7bh9MyAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJBQo59QrWJy8/bWxp7Zsq61sQFgFBy5A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJDQw3G0vtf2A7QO299u+vlh/s+3nbO8uHmvHXy4AoIwy36H6mqQbI+Jx2wsl7bK9o9h2W0R8fXzlAQBGMTDcI+KQpEPF8qu2D0g6Z9yFAQBGN9Q5d9uTkpZLeqxYdZ3tPba32V7Up88m29O2p2dnZ6tVCwAopXS42z5D0t2SboiIVyR9R9J5kpapc2R/y1z9ImJrRExFxNTExET1igEAA5UKd9unqRPsd0bEPZIUEYcj4lhEvC7pu5JWjq9MAMAwylwtY0m3SzoQEbd2rV/S1ewKSfvqLw8AMIoyV8uslvQZSXtt7y7W3SRpg+1lkkLSjKTPj6E+AMAIylwt85Akz7Hp/vrLAQDUgU+oAkBChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJES4A0BChDsAJDQw3G0vtf2A7QO299u+vlh/pu0dtp8unheNv1wAQBlljtxfk3RjRLxf0iWSrrV9oaTNknZGxPmSdhavAQDzwMBwj4hDEfF4sfyqpAOSzpG0XtIdRbM7JH16TDUCAIY01Dl325OSlkt6TNLZEXFI6vwBkHRWnz6bbE/bnp6dna1YLgCgjNLhbvsMSXdLuiEiXinbLyK2RsRURExNTEyMUiMAYEilwt32aeoE+50RcU+x+rDtJcX2JZKOjKdEAMCwylwtY0m3SzoQEbd2bbpP0jXF8jWSfl5/eQCAUSwo0Wa1pM9I2mt7d7HuJklbJP3Y9kZJf5N05VgqBAAMbWC4R8RDktxn88frLQcAUAc+oQoACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJBQmW9iOuVNbt7eyrgzW9a1Mi6Akx9H7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQ0MBwt73N9hHb+7rW3Wz7Odu7i8fa8ZYJABhGmSP370taM8f62yJiWfG4v96yAABVDAz3iHhQ0osN1AIAqEmVc+7X2d5TnLZZ1K+R7U22p21Pz87OVhgOAFDWqOH+HUnnSVom6ZCkW/o1jIitETEVEVMTExMjDgcAGMZI4R4RhyPiWES8Lum7klbWWxYAoIqRwt32kq6XV0ja168tAKB5A79mz/Zdki6TtNj2QUlflXSZ7WWSQtKMpM+Pr0QAwLAGhntEbJhj9e1jqAUAUBM+oQoACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJAQ4Q4ACRHuAJDQwHC3vc32Edv7utadaXuH7aeL50XjLRMAMIwyR+7fl7SmZ91mSTsj4nxJO4vXAIB5YmC4R8SDkl7sWb1e0h3F8h2SPl1vWQCAKkY95352RBySpOL5rH4NbW+yPW17enZ2dsThAADDGPsbqhGxNSKmImJqYmJi3MMBADR6uB+2vUSSiucj9ZUEAKhq1HC/T9I1xfI1kn5eTzkAgDqUuRTyLkmPSLrA9kHbGyVtkfQJ209L+kTxGgAwTywY1CAiNvTZ9PGaawEA1IRPqAJAQgOP3NGeyc3bWxl3Zsu6VsYFUB+O3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABIi3AEgIcIdABJaUKWz7RlJr0o6Jum1iJiqoygAQDWVwr3w0Yh4oYafAwCoCadlACChquEekn5je5ftTXM1sL3J9rTt6dnZ2YrDAQDKqBruqyNihaTLJV1r+9LeBhGxNSKmImJqYmKi4nAAgDIqhXtEPF88H5F0r6SVdRQFAKhm5HC3fbrthceXJX1S0r66CgMAjK7K1TJnS7rX9vGf88OI+FUtVQEAKhk53CPiWUkX1VgLAKAmXAoJAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQEOEOAAkR7gCQUJVvYkJSk5u3tzb2zJZ1rYx7Kv7OyI0jdwBIiHAHgIQIdwBIiHAHgIQIdwBIiHAHgIS4FBJoWVuXYZ6Kl2CeSpe8cuQOAAkR7gCQEOEOAAkR7gCQUKVwt73G9pO2n7G9ua6iAADVjBzutt8s6VuSLpd0oaQNti+sqzAAwOiqHLmvlPRMRDwbEf+S9CNJ6+spCwBQRZXr3M+R9Peu1wclXdzbyPYmSZuKl0dtP1niZy+W9EKF2saN+qrpW5+/1nAlcztp998wxrivT4n9N6wh9vdc9Z077HhVwt1zrIv/WxGxVdLWoX6wPR0RU6MWNm7UVw31VUN91Zwq9VU5LXNQ0tKu1++S9Hy1cgAAdagS7n+UdL7t99h+i6SrJN1XT1kAgCpGPi0TEa/Zvk7SryW9WdK2iNhfU11DncZpAfVVQ33VUF81p0R9jvi/0+QAgJMcn1AFgIQIdwBIqPFwH3TLAnd8s9i+x/aKsn0bqu/qoq49th+2fVHXthnbe23vtj3dUn2X2f5nUcNu218p27eh+r7UVds+28dsn1lsG+v+s73N9hHb+/psb3vuDaqv7bk3qL62596g+lqbe8UYS20/YPuA7f22r5+jTX1zMCIae6jzxuufJb1X0lskPSHpwp42ayX9Up3r6C+R9FjZvg3Vt0rSomL58uP1Fa9nJC1uef9dJukXo/Rtor6e9p+S9NsG99+lklZI2tdne2tzr2R9rc29kvW1NvfK1Nfm3CvGWCJpRbG8UNJT48y/po/cy9yyYL2kH0THo5LeYXtJyb5jry8iHo6Il4qXj6pzfX9TquyDebH/emyQdFfNNfQVEQ9KevEETdqcewPra3nuldl//cyL/dej0bknSRFxKCIeL5ZflXRAnU/6d6ttDjYd7nPdsqD3l+vXpkzfJurrtlGdv7LHhaTf2N7lzm0X6la2vg/bfsL2L21/YMi+TdQn22+TtEbS3V2rx73/Bmlz7g2r6blXVltzr7T5MPdsT0paLumxnk21zcGmv0O1zC0L+rUpdbuDikqPYfuj6vwP9pGu1asj4nnbZ0naYftPxdFEk/U9LunciDhqe62kn0k6v2TfqoYZ41OSfh8R3Uda495/g7Q590prae6V0ebcG0arc8/2Ger8YbkhIl7p3TxHl5HmYNNH7mVuWdCvTRO3Oyg1hu0PSfqepPUR8Y/j6yPi+eL5iKR71fmnVKP1RcQrEXG0WL5f0mm2F5fp20R9Xa5Szz+LG9h/g7Q590ppce4N1PLcG0Zrc8/2aeoE+50Rcc8cTeqbg+N8A2GONxQWSHpW0nv0xpsCH+hps07/+4bCH8r2bai+d0t6RtKqnvWnS1rYtfywpDUt1PdOvfHhtJWS/lbsy3mx/4p2b1fn3OjpTe6/4mdPqv8bgq3NvZL1tTb3StbX2twrU988mHuW9ANJ3zhBm9rmYO07t8QvuFadd4n/LOnLxbovSPpC1w74VrF9r6SpE/Vtob7vSXpJ0u7iMV2sf2+xw5+QtL/F+q4rxn9CnTfdVp2ob9P1Fa8/K+lHPf3Gvv/UOVo7JOnf6hwJbZxnc29QfW3PvUH1tT33Tlhfm3OvGOcj6pxK2dP133DtuOYgtx8AgIT4hCoAJES4A0BChDsAJES4A0BChDsAjMmgm5n1tL2t68ZmT9l+udLYXC0DAONh+1JJR9W5X8wHh+j3RUnLI+Jzo47NkTsAjEnMcTMz2+fZ/lVxH5vf2X7fHF0r39is6XvLAMCpbqs6H1p62vbFkr4t6WPHN9o+V51Pov62yiCEOwA0pLhp2CpJP7H/ey+wt/Y0u0rSTyPiWJWxCHcAaM6bJL0cEctO0OYqSdfWMRAAoAHRucXvX2xfKf33a/UuOr7d9gWSFkl6pOpYhDsAjIntu9QJ6gtsH7S9UdLVkjbaPn6jsu5vVNqgzo3NKl/GyKWQAJAQR+4AkBDhDgAJEe4AkBDhDgAJEe4AkBDhDgAJEe4AkNB/AJMbYdiWYRFSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(us_census.Women)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(us_census.Women, us_census.Men)\n",
    "plt.style.use('ggplot')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.358603</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "      <td>2341093</td>\n",
       "      <td>2489527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.743902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "      <td>384160</td>\n",
       "      <td>349215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.820955</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "      <td>3299088</td>\n",
       "      <td>3342840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.633968</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913</td>\n",
       "      <td>1506295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.782303</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "      <td>19087135</td>\n",
       "      <td>19334329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.560588</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "      <td>1751607</td>\n",
       "      <td>1841615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.976636</td>\n",
       "      <td>448413M_478041F</td>\n",
       "      <td>448413</td>\n",
       "      <td>478041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.363636</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674</td>\n",
       "      <td>340810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>Florida</td>\n",
       "      <td>19645772</td>\n",
       "      <td>21.3385426653884%</td>\n",
       "      <td>59.08374880153398%</td>\n",
       "      <td>15.165675934803444%</td>\n",
       "      <td>0.2104506232023015%</td>\n",
       "      <td>2.2831735378715257%</td>\n",
       "      <td>0.05151006711409391%</td>\n",
       "      <td>50690.194987</td>\n",
       "      <td>9600009M_10045763F</td>\n",
       "      <td>9600009</td>\n",
       "      <td>10045763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.082051</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.082051</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1406299</td>\n",
       "      <td>9.186708860759486%</td>\n",
       "      <td>25.032278481012657%</td>\n",
       "      <td>2.052848101265823%</td>\n",
       "      <td>0.1449367088607596%</td>\n",
       "      <td>36.59208860759495%</td>\n",
       "      <td>8.758860759493672%</td>\n",
       "      <td>73264.426282</td>\n",
       "      <td>709871M_696428F</td>\n",
       "      <td>709871</td>\n",
       "      <td>696428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1616547</td>\n",
       "      <td>11.505369127516781%</td>\n",
       "      <td>83.1362416107383%</td>\n",
       "      <td>0.5667785234899323%</td>\n",
       "      <td>1.468120805369128%</td>\n",
       "      <td>1.135906040268457%</td>\n",
       "      <td>0.1271812080536914%</td>\n",
       "      <td>48017.315436</td>\n",
       "      <td>810464M_806083F</td>\n",
       "      <td>810464</td>\n",
       "      <td>806083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12873761</td>\n",
       "      <td>15.601733547351516%</td>\n",
       "      <td>60.85980738362764%</td>\n",
       "      <td>17.108410914927717%</td>\n",
       "      <td>0.11842696629213499%</td>\n",
       "      <td>4.475377207062604%</td>\n",
       "      <td>0.02003210272873195%</td>\n",
       "      <td>59587.048875</td>\n",
       "      <td>6316899M_6556862F</td>\n",
       "      <td>6316899</td>\n",
       "      <td>6556862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6568645</td>\n",
       "      <td>6.536744186046501%</td>\n",
       "      <td>78.43189368770771%</td>\n",
       "      <td>11.18697674418606%</td>\n",
       "      <td>0.1940863787375415%</td>\n",
       "      <td>1.5782724252491687%</td>\n",
       "      <td>0.03262458471760798%</td>\n",
       "      <td>48616.227848</td>\n",
       "      <td>3235263M_3333382F</td>\n",
       "      <td>3235263</td>\n",
       "      <td>3333382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3093526</td>\n",
       "      <td>5.30364520048603%</td>\n",
       "      <td>87.71968408262464%</td>\n",
       "      <td>3.2569866342648868%</td>\n",
       "      <td>0.2897934386391251%</td>\n",
       "      <td>1.699392466585662%</td>\n",
       "      <td>0.055164034021871235%</td>\n",
       "      <td>53017.753041</td>\n",
       "      <td>1534595M_1558931F</td>\n",
       "      <td>1534595</td>\n",
       "      <td>1558931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3093526</td>\n",
       "      <td>5.30364520048603%</td>\n",
       "      <td>87.71968408262464%</td>\n",
       "      <td>3.2569866342648868%</td>\n",
       "      <td>0.2897934386391251%</td>\n",
       "      <td>1.699392466585662%</td>\n",
       "      <td>0.055164034021871235%</td>\n",
       "      <td>53017.753041</td>\n",
       "      <td>1534595M_1558931F</td>\n",
       "      <td>1534595</td>\n",
       "      <td>1558931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2892987</td>\n",
       "      <td>11.644342105263148%</td>\n",
       "      <td>75.95828947368425%</td>\n",
       "      <td>6.5678947368421%</td>\n",
       "      <td>0.7339473684210529%</td>\n",
       "      <td>2.331052631578946%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53885.612648</td>\n",
       "      <td>1439862M_1453125F</td>\n",
       "      <td>1439862</td>\n",
       "      <td>1453125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0            0               Alabama   4830620  3.7516156462584975%   \n",
       "1            1                Alaska    733375   5.909580838323351%   \n",
       "2            2               Arizona   6641928  29.565921052631502%   \n",
       "3            3              Arkansas   2958208   6.215474452554738%   \n",
       "4            4            California  38421464  37.291874687968054%   \n",
       "5            5              Colorado   5278906   20.78438003220608%   \n",
       "6            0                   NaN   5278906   20.78438003220608%   \n",
       "7            1           Connecticut   3593222  15.604830917874388%   \n",
       "8            2              Delaware    926454    8.82476635514019%   \n",
       "9            3  District of Columbia    647484   9.165921787709499%   \n",
       "10           4               Florida  19645772    21.3385426653884%   \n",
       "11           5               Georgia  10006693   8.418242207460397%   \n",
       "12           0                   NaN  10006693   8.418242207460397%   \n",
       "13           1                Hawaii   1406299   9.186708860759486%   \n",
       "14           2                 Idaho   1616547  11.505369127516781%   \n",
       "15           3              Illinois  12873761  15.601733547351516%   \n",
       "16           4               Indiana   6568645   6.536744186046501%   \n",
       "17           5                  Iowa   3093526    5.30364520048603%   \n",
       "18           0                   NaN   3093526    5.30364520048603%   \n",
       "19           1                Kansas   2892987  11.644342105263148%   \n",
       "\n",
       "                  White                Black                Native  \\\n",
       "0      61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1   60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2   57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3    71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4    40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7     67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8    64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9   33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "10   59.08374880153398%  15.165675934803444%   0.2104506232023015%   \n",
       "11   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "12   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "13  25.032278481012657%   2.052848101265823%   0.1449367088607596%   \n",
       "14    83.1362416107383%  0.5667785234899323%    1.468120805369128%   \n",
       "15   60.85980738362764%  17.108410914927717%  0.11842696629213499%   \n",
       "16   78.43189368770771%   11.18697674418606%   0.1940863787375415%   \n",
       "17   87.71968408262464%  3.2569866342648868%   0.2897934386391251%   \n",
       "18   87.71968408262464%  3.2569866342648868%   0.2897934386391251%   \n",
       "19   75.95828947368425%     6.5678947368421%   0.7339473684210529%   \n",
       "\n",
       "                  Asian                Pacific        Income  \\\n",
       "0   1.0502551020408146%   0.03435374149659865%  43296.358603   \n",
       "1    5.450299401197604%    1.0586826347305378%  70354.743902   \n",
       "2    2.876578947368419%   0.16763157894736833%  54207.820955   \n",
       "3   1.1423357664233578%   0.14686131386861315%  41935.633968   \n",
       "4   13.052234148776776%   0.35141038442336353%  67264.782303   \n",
       "5    2.661996779388082%                    NaN  64657.801787   \n",
       "6    2.661996779388082%                    NaN  64657.801787   \n",
       "7    4.021980676328502%  0.018599033816425123%  76146.560588   \n",
       "8   3.2686915887850483%                    NaN  61827.976636   \n",
       "9   3.3832402234636865%  0.029608938547486034%  75466.363636   \n",
       "10  2.2831735378715257%   0.05151006711409391%  50690.194987   \n",
       "11  3.0976494634644895%  0.046601941747572824%  50811.082051   \n",
       "12  3.0976494634644895%  0.046601941747572824%  50811.082051   \n",
       "13   36.59208860759495%     8.758860759493672%  73264.426282   \n",
       "14   1.135906040268457%    0.1271812080536914%  48017.315436   \n",
       "15   4.475377207062604%   0.02003210272873195%  59587.048875   \n",
       "16  1.5782724252491687%   0.03262458471760798%  48616.227848   \n",
       "17   1.699392466585662%  0.055164034021871235%  53017.753041   \n",
       "18   1.699392466585662%  0.055164034021871235%  53017.753041   \n",
       "19   2.331052631578946%                    NaN  53885.612648   \n",
       "\n",
       "              GenderPop       Men     Women  \n",
       "0     2341093M_2489527F   2341093   2489527  \n",
       "1       384160M_349215F    384160    349215  \n",
       "2     3299088M_3342840F   3299088   3342840  \n",
       "3     1451913M_1506295F   1451913   1506295  \n",
       "4   19087135M_19334329F  19087135  19334329  \n",
       "5     2648667M_2630239F   2648667   2630239  \n",
       "6     2648667M_2630239F   2648667   2630239  \n",
       "7     1751607M_1841615F   1751607   1841615  \n",
       "8       448413M_478041F    448413    478041  \n",
       "9       306674M_340810F    306674    340810  \n",
       "10   9600009M_10045763F   9600009  10045763  \n",
       "11    4883331M_5123362F   4883331   5123362  \n",
       "12    4883331M_5123362F   4883331   5123362  \n",
       "13      709871M_696428F    709871    696428  \n",
       "14      810464M_806083F    810464    806083  \n",
       "15    6316899M_6556862F   6316899   6556862  \n",
       "16    3235263M_3333382F   3235263   3333382  \n",
       "17    1534595M_1558931F   1534595   1558931  \n",
       "18    1534595M_1558931F   1534595   1558931  \n",
       "19    1439862M_1453125F   1439862   1453125  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6     NaN\n",
       "12    NaN\n",
       "18    NaN\n",
       "24    NaN\n",
       "30    NaN\n",
       "36    NaN\n",
       "42    NaN\n",
       "48    NaN\n",
       "54    NaN\n",
       "Name: State, dtype: object"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.State[us_census.State.isna() == True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>State</th>\n",
       "      <th>TotalPop</th>\n",
       "      <th>Hispanic</th>\n",
       "      <th>White</th>\n",
       "      <th>Black</th>\n",
       "      <th>Native</th>\n",
       "      <th>Asian</th>\n",
       "      <th>Pacific</th>\n",
       "      <th>Income</th>\n",
       "      <th>GenderPop</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4830620</td>\n",
       "      <td>3.7516156462584975%</td>\n",
       "      <td>61.878656462585%</td>\n",
       "      <td>31.25297619047618%</td>\n",
       "      <td>0.4532312925170065%</td>\n",
       "      <td>1.0502551020408146%</td>\n",
       "      <td>0.03435374149659865%</td>\n",
       "      <td>43296.358603</td>\n",
       "      <td>2341093M_2489527F</td>\n",
       "      <td>2341093</td>\n",
       "      <td>2489527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>733375</td>\n",
       "      <td>5.909580838323351%</td>\n",
       "      <td>60.910179640718574%</td>\n",
       "      <td>2.8485029940119775%</td>\n",
       "      <td>16.39101796407186%</td>\n",
       "      <td>5.450299401197604%</td>\n",
       "      <td>1.0586826347305378%</td>\n",
       "      <td>70354.743902</td>\n",
       "      <td>384160M_349215F</td>\n",
       "      <td>384160</td>\n",
       "      <td>349215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>6641928</td>\n",
       "      <td>29.565921052631502%</td>\n",
       "      <td>57.120000000000026%</td>\n",
       "      <td>3.8509868421052658%</td>\n",
       "      <td>4.35506578947368%</td>\n",
       "      <td>2.876578947368419%</td>\n",
       "      <td>0.16763157894736833%</td>\n",
       "      <td>54207.820955</td>\n",
       "      <td>3299088M_3342840F</td>\n",
       "      <td>3299088</td>\n",
       "      <td>3342840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>2958208</td>\n",
       "      <td>6.215474452554738%</td>\n",
       "      <td>71.13781021897813%</td>\n",
       "      <td>18.968759124087573%</td>\n",
       "      <td>0.5229197080291965%</td>\n",
       "      <td>1.1423357664233578%</td>\n",
       "      <td>0.14686131386861315%</td>\n",
       "      <td>41935.633968</td>\n",
       "      <td>1451913M_1506295F</td>\n",
       "      <td>1451913</td>\n",
       "      <td>1506295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>California</td>\n",
       "      <td>38421464</td>\n",
       "      <td>37.291874687968054%</td>\n",
       "      <td>40.21578881677474%</td>\n",
       "      <td>5.677396405391911%</td>\n",
       "      <td>0.40529206190713685%</td>\n",
       "      <td>13.052234148776776%</td>\n",
       "      <td>0.35141038442336353%</td>\n",
       "      <td>67264.782303</td>\n",
       "      <td>19087135M_19334329F</td>\n",
       "      <td>19087135</td>\n",
       "      <td>19334329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5278906</td>\n",
       "      <td>20.78438003220608%</td>\n",
       "      <td>69.89557165861504%</td>\n",
       "      <td>3.546376811594201%</td>\n",
       "      <td>0.5738325281803548%</td>\n",
       "      <td>2.661996779388082%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64657.801787</td>\n",
       "      <td>2648667M_2630239F</td>\n",
       "      <td>2648667</td>\n",
       "      <td>2630239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3593222</td>\n",
       "      <td>15.604830917874388%</td>\n",
       "      <td>67.6770531400966%</td>\n",
       "      <td>10.34806763285027%</td>\n",
       "      <td>0.12620772946859898%</td>\n",
       "      <td>4.021980676328502%</td>\n",
       "      <td>0.018599033816425123%</td>\n",
       "      <td>76146.560588</td>\n",
       "      <td>1751607M_1841615F</td>\n",
       "      <td>1751607</td>\n",
       "      <td>1841615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>926454</td>\n",
       "      <td>8.82476635514019%</td>\n",
       "      <td>64.63271028037383%</td>\n",
       "      <td>20.743925233644834%</td>\n",
       "      <td>0.25981308411214965%</td>\n",
       "      <td>3.2686915887850483%</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61827.976636</td>\n",
       "      <td>448413M_478041F</td>\n",
       "      <td>448413</td>\n",
       "      <td>478041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>647484</td>\n",
       "      <td>9.165921787709499%</td>\n",
       "      <td>33.103910614525134%</td>\n",
       "      <td>51.77653631284915%</td>\n",
       "      <td>0.20055865921787713%</td>\n",
       "      <td>3.3832402234636865%</td>\n",
       "      <td>0.029608938547486034%</td>\n",
       "      <td>75466.363636</td>\n",
       "      <td>306674M_340810F</td>\n",
       "      <td>306674</td>\n",
       "      <td>340810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4</td>\n",
       "      <td>Florida</td>\n",
       "      <td>19645772</td>\n",
       "      <td>21.3385426653884%</td>\n",
       "      <td>59.08374880153398%</td>\n",
       "      <td>15.165675934803444%</td>\n",
       "      <td>0.2104506232023015%</td>\n",
       "      <td>2.2831735378715257%</td>\n",
       "      <td>0.05151006711409391%</td>\n",
       "      <td>50690.194987</td>\n",
       "      <td>9600009M_10045763F</td>\n",
       "      <td>9600009</td>\n",
       "      <td>10045763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.082051</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10006693</td>\n",
       "      <td>8.418242207460397%</td>\n",
       "      <td>54.28630556974962%</td>\n",
       "      <td>32.08829841594277%</td>\n",
       "      <td>0.18758303525804798%</td>\n",
       "      <td>3.0976494634644895%</td>\n",
       "      <td>0.046601941747572824%</td>\n",
       "      <td>50811.082051</td>\n",
       "      <td>4883331M_5123362F</td>\n",
       "      <td>4883331</td>\n",
       "      <td>5123362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1406299</td>\n",
       "      <td>9.186708860759486%</td>\n",
       "      <td>25.032278481012657%</td>\n",
       "      <td>2.052848101265823%</td>\n",
       "      <td>0.1449367088607596%</td>\n",
       "      <td>36.59208860759495%</td>\n",
       "      <td>8.758860759493672%</td>\n",
       "      <td>73264.426282</td>\n",
       "      <td>709871M_696428F</td>\n",
       "      <td>709871</td>\n",
       "      <td>696428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1616547</td>\n",
       "      <td>11.505369127516781%</td>\n",
       "      <td>83.1362416107383%</td>\n",
       "      <td>0.5667785234899323%</td>\n",
       "      <td>1.468120805369128%</td>\n",
       "      <td>1.135906040268457%</td>\n",
       "      <td>0.1271812080536914%</td>\n",
       "      <td>48017.315436</td>\n",
       "      <td>810464M_806083F</td>\n",
       "      <td>810464</td>\n",
       "      <td>806083</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                 State  TotalPop             Hispanic  \\\n",
       "0            0               Alabama   4830620  3.7516156462584975%   \n",
       "1            1                Alaska    733375   5.909580838323351%   \n",
       "2            2               Arizona   6641928  29.565921052631502%   \n",
       "3            3              Arkansas   2958208   6.215474452554738%   \n",
       "4            4            California  38421464  37.291874687968054%   \n",
       "5            5              Colorado   5278906   20.78438003220608%   \n",
       "6            0                   NaN   5278906   20.78438003220608%   \n",
       "7            1           Connecticut   3593222  15.604830917874388%   \n",
       "8            2              Delaware    926454    8.82476635514019%   \n",
       "9            3  District of Columbia    647484   9.165921787709499%   \n",
       "10           4               Florida  19645772    21.3385426653884%   \n",
       "11           5               Georgia  10006693   8.418242207460397%   \n",
       "12           0                   NaN  10006693   8.418242207460397%   \n",
       "13           1                Hawaii   1406299   9.186708860759486%   \n",
       "14           2                 Idaho   1616547  11.505369127516781%   \n",
       "\n",
       "                  White                Black                Native  \\\n",
       "0      61.878656462585%   31.25297619047618%   0.4532312925170065%   \n",
       "1   60.910179640718574%  2.8485029940119775%    16.39101796407186%   \n",
       "2   57.120000000000026%  3.8509868421052658%     4.35506578947368%   \n",
       "3    71.13781021897813%  18.968759124087573%   0.5229197080291965%   \n",
       "4    40.21578881677474%   5.677396405391911%  0.40529206190713685%   \n",
       "5    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "6    69.89557165861504%   3.546376811594201%   0.5738325281803548%   \n",
       "7     67.6770531400966%   10.34806763285027%  0.12620772946859898%   \n",
       "8    64.63271028037383%  20.743925233644834%  0.25981308411214965%   \n",
       "9   33.103910614525134%   51.77653631284915%  0.20055865921787713%   \n",
       "10   59.08374880153398%  15.165675934803444%   0.2104506232023015%   \n",
       "11   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "12   54.28630556974962%   32.08829841594277%  0.18758303525804798%   \n",
       "13  25.032278481012657%   2.052848101265823%   0.1449367088607596%   \n",
       "14    83.1362416107383%  0.5667785234899323%    1.468120805369128%   \n",
       "\n",
       "                  Asian                Pacific        Income  \\\n",
       "0   1.0502551020408146%   0.03435374149659865%  43296.358603   \n",
       "1    5.450299401197604%    1.0586826347305378%  70354.743902   \n",
       "2    2.876578947368419%   0.16763157894736833%  54207.820955   \n",
       "3   1.1423357664233578%   0.14686131386861315%  41935.633968   \n",
       "4   13.052234148776776%   0.35141038442336353%  67264.782303   \n",
       "5    2.661996779388082%                    NaN  64657.801787   \n",
       "6    2.661996779388082%                    NaN  64657.801787   \n",
       "7    4.021980676328502%  0.018599033816425123%  76146.560588   \n",
       "8   3.2686915887850483%                    NaN  61827.976636   \n",
       "9   3.3832402234636865%  0.029608938547486034%  75466.363636   \n",
       "10  2.2831735378715257%   0.05151006711409391%  50690.194987   \n",
       "11  3.0976494634644895%  0.046601941747572824%  50811.082051   \n",
       "12  3.0976494634644895%  0.046601941747572824%  50811.082051   \n",
       "13   36.59208860759495%     8.758860759493672%  73264.426282   \n",
       "14   1.135906040268457%    0.1271812080536914%  48017.315436   \n",
       "\n",
       "              GenderPop       Men     Women  \n",
       "0     2341093M_2489527F   2341093   2489527  \n",
       "1       384160M_349215F    384160    349215  \n",
       "2     3299088M_3342840F   3299088   3342840  \n",
       "3     1451913M_1506295F   1451913   1506295  \n",
       "4   19087135M_19334329F  19087135  19334329  \n",
       "5     2648667M_2630239F   2648667   2630239  \n",
       "6     2648667M_2630239F   2648667   2630239  \n",
       "7     1751607M_1841615F   1751607   1841615  \n",
       "8       448413M_478041F    448413    478041  \n",
       "9       306674M_340810F    306674    340810  \n",
       "10   9600009M_10045763F   9600009  10045763  \n",
       "11    4883331M_5123362F   4883331   5123362  \n",
       "12    4883331M_5123362F   4883331   5123362  \n",
       "13      709871M_696428F    709871    696428  \n",
       "14      810464M_806083F    810464    806083  "
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "us_census.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part Two"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "inventory = pd.read_csv(\"inventory.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [],
   "source": [
    "staten_island = inventory[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location</th>\n",
       "      <th>product_type</th>\n",
       "      <th>product_description</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>seeds</td>\n",
       "      <td>daisy</td>\n",
       "      <td>4</td>\n",
       "      <td>6.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>seeds</td>\n",
       "      <td>calla lily</td>\n",
       "      <td>46</td>\n",
       "      <td>19.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>seeds</td>\n",
       "      <td>tomato</td>\n",
       "      <td>85</td>\n",
       "      <td>13.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>garden tools</td>\n",
       "      <td>rake</td>\n",
       "      <td>4</td>\n",
       "      <td>13.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>garden tools</td>\n",
       "      <td>wheelbarrow</td>\n",
       "      <td>0</td>\n",
       "      <td>89.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>garden tools</td>\n",
       "      <td>spade</td>\n",
       "      <td>93</td>\n",
       "      <td>19.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>pest_control</td>\n",
       "      <td>insect killer</td>\n",
       "      <td>74</td>\n",
       "      <td>12.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>pest_control</td>\n",
       "      <td>weed killer</td>\n",
       "      <td>8</td>\n",
       "      <td>23.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>planter</td>\n",
       "      <td>20 inch terracotta planter</td>\n",
       "      <td>0</td>\n",
       "      <td>17.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>planter</td>\n",
       "      <td>8 inch plastic planter</td>\n",
       "      <td>53</td>\n",
       "      <td>3.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        location  product_type         product_description  quantity  price\n",
       "0  Staten Island         seeds                       daisy         4   6.99\n",
       "1  Staten Island         seeds                  calla lily        46  19.99\n",
       "2  Staten Island         seeds                      tomato        85  13.99\n",
       "3  Staten Island  garden tools                        rake         4  13.99\n",
       "4  Staten Island  garden tools                 wheelbarrow         0  89.99\n",
       "5  Staten Island  garden tools                       spade        93  19.99\n",
       "6  Staten Island  pest_control               insect killer        74  12.99\n",
       "7  Staten Island  pest_control                 weed killer         8  23.99\n",
       "8  Staten Island       planter  20 inch terracotta planter         0  17.99\n",
       "9  Staten Island       planter      8 inch plastic planter        53   3.99"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "staten_island"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "product_request = staten_island.product_description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                         daisy\n",
       "1                    calla lily\n",
       "2                        tomato\n",
       "3                          rake\n",
       "4                   wheelbarrow\n",
       "5                         spade\n",
       "6                 insect killer\n",
       "7                   weed killer\n",
       "8    20 inch terracotta planter\n",
       "9        8 inch plastic planter\n",
       "Name: product_description, dtype: object"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "product_request"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [],
   "source": [
    "seed_request = inventory[(inventory['location'] == 'Brooklyn') & (inventory['product_type'] == 'seeds' )]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location</th>\n",
       "      <th>product_type</th>\n",
       "      <th>product_description</th>\n",
       "      <th>quantity</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>seeds</td>\n",
       "      <td>daisy</td>\n",
       "      <td>50</td>\n",
       "      <td>6.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>seeds</td>\n",
       "      <td>calla lily</td>\n",
       "      <td>0</td>\n",
       "      <td>19.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>seeds</td>\n",
       "      <td>tomato</td>\n",
       "      <td>0</td>\n",
       "      <td>13.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    location product_type product_description  quantity  price\n",
       "10  Brooklyn        seeds               daisy        50   6.99\n",
       "11  Brooklyn        seeds          calla lily         0  19.99\n",
       "12  Brooklyn        seeds              tomato         0  13.99"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seed_request"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "inventory['in_stock'] = inventory.quantity > 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      True\n",
       "1      True\n",
       "2      True\n",
       "3      True\n",
       "4     False\n",
       "5      True\n",
       "6      True\n",
       "7      True\n",
       "8     False\n",
       "9      True\n",
       "10     True\n",
       "11    False\n",
       "12    False\n",
       "13     True\n",
       "14     True\n",
       "15     True\n",
       "16     True\n",
       "17     True\n",
       "18     True\n",
       "19     True\n",
       "20     True\n",
       "21     True\n",
       "22     True\n",
       "23     True\n",
       "24     True\n",
       "25     True\n",
       "26    False\n",
       "27     True\n",
       "28     True\n",
       "Name: in_stock, dtype: bool"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inventory.in_stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "inventory['total_value'] = inventory.price * inventory.quantity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       27.96\n",
       "1      919.54\n",
       "2     1189.15\n",
       "3       55.96\n",
       "4        0.00\n",
       "5     1859.07\n",
       "6      961.26\n",
       "7      191.92\n",
       "8        0.00\n",
       "9      211.47\n",
       "10     349.50\n",
       "11       0.00\n",
       "12       0.00\n",
       "13     209.85\n",
       "14    7379.18\n",
       "15     719.64\n",
       "16    1039.20\n",
       "17    1823.24\n",
       "18      89.95\n",
       "19     103.74\n",
       "20     398.43\n",
       "21    1899.05\n",
       "22     629.55\n",
       "23     293.79\n",
       "24    8819.02\n",
       "25     519.74\n",
       "26       0.00\n",
       "27     383.84\n",
       "28    1565.13\n",
       "Name: total_value, dtype: float64"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inventory.total_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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