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@@ -0,0 +1,1780 @@
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+{
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/html": [
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+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
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+ " <tr style=\"text-align: right;\">\n",
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+ " <th></th>\n",
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+ " <th>name</th>\n",
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+ " <th>age</th>\n",
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+ " <th>gender</th>\n",
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+ " <th>raceethnicity</th>\n",
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+ " <th>month</th>\n",
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+ " <th>day</th>\n",
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+ " <th>year</th>\n",
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+ " <th>streetaddress</th>\n",
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+ " <th>city</th>\n",
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+ " <th>state</th>\n",
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+ " <th>...</th>\n",
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+ " <th>share_hispanic</th>\n",
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+ " <th>p_income</th>\n",
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+ " <th>h_income</th>\n",
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+ " <th>county_income</th>\n",
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+ " <th>comp_income</th>\n",
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+ " <th>county_bucket</th>\n",
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+ " <th>nat_bucket</th>\n",
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+ " <th>pov</th>\n",
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+ " <th>urate</th>\n",
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+ " <th>college</th>\n",
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+ " </tr>\n",
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+ " </thead>\n",
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+ " <tbody>\n",
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+ " <tr>\n",
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+ " <th>0</th>\n",
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+ " <td>A'donte Washington</td>\n",
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+ " <td>16</td>\n",
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+ " <td>Male</td>\n",
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+ " <td>Black</td>\n",
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+ " <td>February</td>\n",
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+ " <td>23</td>\n",
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+ " <td>2015</td>\n",
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+ " <td>Clearview Ln</td>\n",
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+ " <td>Millbrook</td>\n",
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+ " <td>AL</td>\n",
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+ " <td>...</td>\n",
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+ " <td>5.6</td>\n",
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+ " <td>28375</td>\n",
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+ " <td>51367</td>\n",
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+ " <td>54766</td>\n",
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+ " <td>0.937936</td>\n",
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+ " <td>3</td>\n",
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+ " <td>3</td>\n",
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+ " <td>14.1</td>\n",
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+ " <td>0.097686</td>\n",
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+ " <td>0.168510</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>1</th>\n",
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+ " <td>Aaron Rutledge</td>\n",
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+ " <td>27</td>\n",
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+ " <td>Male</td>\n",
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+ " <td>White</td>\n",
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+ " <td>April</td>\n",
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+ " <td>2</td>\n",
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+ " <td>2015</td>\n",
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+ " <td>300 block Iris Park Dr</td>\n",
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+ " <td>Pineville</td>\n",
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+ " <td>LA</td>\n",
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+ " <td>...</td>\n",
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+ " <td>0.5</td>\n",
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+ " <td>14678</td>\n",
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+ " <td>27972</td>\n",
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+ " <td>40930</td>\n",
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+ " <td>0.683411</td>\n",
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+ " <td>2</td>\n",
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+ " <td>1</td>\n",
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+ " <td>28.8</td>\n",
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+ " <td>0.065724</td>\n",
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+ " <td>0.111402</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>2</th>\n",
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+ " <td>Aaron Siler</td>\n",
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+ " <td>26</td>\n",
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+ " <td>Male</td>\n",
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+ " <td>White</td>\n",
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+ " <td>March</td>\n",
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+ " <td>14</td>\n",
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+ " <td>2015</td>\n",
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+ " <td>22nd Ave and 56th St</td>\n",
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+ " <td>Kenosha</td>\n",
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+ " <td>WI</td>\n",
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+ " <td>...</td>\n",
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+ " <td>16.8</td>\n",
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+ " <td>25286</td>\n",
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+ " <td>45365</td>\n",
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+ " <td>54930</td>\n",
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+ " <td>0.825869</td>\n",
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+ " <td>2</td>\n",
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+ " <td>3</td>\n",
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+ " <td>14.6</td>\n",
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+ " <td>0.166293</td>\n",
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+ " <td>0.147312</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>3</th>\n",
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+ " <td>Aaron Valdez</td>\n",
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+ " <td>25</td>\n",
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+ " <td>Male</td>\n",
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+ " <td>Hispanic/Latino</td>\n",
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+ " <td>March</td>\n",
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+ " <td>11</td>\n",
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+ " <td>2015</td>\n",
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+ " <td>3000 Seminole Ave</td>\n",
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+ " <td>South Gate</td>\n",
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+ " <td>CA</td>\n",
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+ " <td>...</td>\n",
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+ " <td>98.8</td>\n",
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+ " <td>17194</td>\n",
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+ " <td>48295</td>\n",
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+ " <td>55909</td>\n",
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+ " <td>0.863814</td>\n",
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+ " <td>3</td>\n",
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+ " <td>3</td>\n",
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+ " <td>11.7</td>\n",
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+ " <td>0.124827</td>\n",
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+ " <td>0.050133</td>\n",
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+ " </tr>\n",
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+ " <tr>\n",
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+ " <th>4</th>\n",
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+ " <td>Adam Jovicic</td>\n",
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+ " <td>29</td>\n",
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+ " <td>Male</td>\n",
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+ " <td>White</td>\n",
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+ " <td>March</td>\n",
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+ " <td>19</td>\n",
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+ " <td>2015</td>\n",
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+ " <td>364 Hiwood Ave</td>\n",
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+ " <td>Munroe Falls</td>\n",
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+ " <td>OH</td>\n",
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+ " <td>...</td>\n",
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+ " <td>1.7</td>\n",
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+ " <td>33954</td>\n",
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+ " <td>68785</td>\n",
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+ " <td>49669</td>\n",
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+ " <td>1.384868</td>\n",
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+ " <td>5</td>\n",
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+ " <td>4</td>\n",
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+ " <td>1.9</td>\n",
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+ " <td>0.063550</td>\n",
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+ " <td>0.403954</td>\n",
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+ " </tr>\n",
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+ " </tbody>\n",
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+ "</table>\n",
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+ "<p>5 rows × 34 columns</p>\n",
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+ "</div>"
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+ ],
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+ "text/plain": [
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+ " name age gender raceethnicity month day year \\\n",
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+ "0 A'donte Washington 16 Male Black February 23 2015 \n",
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+ "1 Aaron Rutledge 27 Male White April 2 2015 \n",
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+ "2 Aaron Siler 26 Male White March 14 2015 \n",
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+ "3 Aaron Valdez 25 Male Hispanic/Latino March 11 2015 \n",
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+ "4 Adam Jovicic 29 Male White March 19 2015 \n",
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+ "\n",
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+ " streetaddress city state ... share_hispanic \\\n",
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+ "0 Clearview Ln Millbrook AL ... 5.6 \n",
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+ "1 300 block Iris Park Dr Pineville LA ... 0.5 \n",
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+ "2 22nd Ave and 56th St Kenosha WI ... 16.8 \n",
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+ "3 3000 Seminole Ave South Gate CA ... 98.8 \n",
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+ "4 364 Hiwood Ave Munroe Falls OH ... 1.7 \n",
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+ "\n",
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+ " p_income h_income county_income comp_income county_bucket nat_bucket \\\n",
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+ "0 28375 51367 54766 0.937936 3 3 \n",
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+ "1 14678 27972 40930 0.683411 2 1 \n",
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+ "2 25286 45365 54930 0.825869 2 3 \n",
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+ "3 17194 48295 55909 0.863814 3 3 \n",
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+ "4 33954 68785 49669 1.384868 5 4 \n",
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+ "\n",
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+ " pov urate college \n",
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+ "0 14.1 0.097686 0.168510 \n",
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+ "1 28.8 0.065724 0.111402 \n",
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+ "2 14.6 0.166293 0.147312 \n",
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+ "3 11.7 0.124827 0.050133 \n",
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+ "4 1.9 0.063550 0.403954 \n",
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+ "\n",
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+ "[5 rows x 34 columns]"
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+ ]
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+ },
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+ "execution_count": 4,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "import pandas as pd\n",
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+ "police_killings = pd.read_csv(\"police_killings.csv\", encoding=\"ISO-8859-1\")\n",
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+ "police_killings.head(5)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "Index(['name', 'age', 'gender', 'raceethnicity', 'month', 'day', 'year',\n",
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+ " 'streetaddress', 'city', 'state', 'latitude', 'longitude', 'state_fp',\n",
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+ " 'county_fp', 'tract_ce', 'geo_id', 'county_id', 'namelsad',\n",
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+ " 'lawenforcementagency', 'cause', 'armed', 'pop', 'share_white',\n",
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+ " 'share_black', 'share_hispanic', 'p_income', 'h_income',\n",
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+ " 'county_income', 'comp_income', 'county_bucket', 'nat_bucket', 'pov',\n",
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+ " 'urate', 'college'],\n",
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+ " dtype='object')"
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+ ]
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+ },
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+ "execution_count": 2,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "police_killings.columns"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 10,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "['White',\n",
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+ " 'Black',\n",
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+ " 'Hispanic/Latino',\n",
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+ " 'Unknown',\n",
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+ " 'Asian/Pacific Islander',\n",
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+ " 'Native American']"
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+ ]
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+ },
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+ "execution_count": 10,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "counts = police_killings[\"raceethnicity\"].value_counts()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "text/plain": [
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+ "([<matplotlib.axis.XTick at 0x10800db70>,\n",
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+ " <matplotlib.axis.XTick at 0x106b6a588>],\n",
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+ " <a list of 6 Text xticklabel objects>)"
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+ ],
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+ "text/plain": [
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+ "<matplotlib.figure.Figure at 0x108001080>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
|
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+ ],
|
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+ "source": [
|
|
|
+ "%matplotlib inline\n",
|
|
|
+ "import matplotlib.pyplot as plt\n",
|
|
|
+ "\n",
|
|
|
+ "plt.bar(range(6), counts)\n",
|
|
|
+ "plt.xticks(range(6), counts.index, rotation=\"vertical\")"
|
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 15,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
|
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+ {
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+ "data": {
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+ "text/plain": [
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+ "White 0.505353\n",
|
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+ "Black 0.289079\n",
|
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+ "Hispanic/Latino 0.143469\n",
|
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+ "Unknown 0.032120\n",
|
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+ "Asian/Pacific Islander 0.021413\n",
|
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+ "Native American 0.008565\n",
|
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+ "dtype: float64"
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+ ]
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+ },
|
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+ "execution_count": 15,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
|
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+ "counts / sum(counts)"
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+ ]
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+ },
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {},
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+ "source": [
|
|
|
+ "## Racial breakdown\n",
|
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|
+ "\n",
|
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|
+ "It looks like people identified as `Black` are far overrepresented in the shootings versus in the population of the US (`28%` vs `16%`). You can see the breakdown of population by race [here](https://en.wikipedia.org/wiki/Race_and_ethnicity_in_the_United_States#Racial_makeup_of_the_U.S._population). \n",
|
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+ "\n",
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+ "People identified as `Hispanic` appear to be killed about as often as random chance would account for (`14%` of the people killed as Hispanic, versus `17%` of the overall population).\n",
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+ "\n",
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+ "Whites are underrepresented among shooting victims vs their population percentage, as are Asians."
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+ ]
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+ },
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+ "outputs": [
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+ "data": {
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+ "text/plain": [
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+ "<matplotlib.axes._subplots.AxesSubplot at 0x107f797f0>"
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+ "pFXbVwNjr+D42UE199OFZR8dpJ/L3VM7UxlzCX0z/2v0727Pqp2pjDsD+BvgRQPbau+rD3D8FNF9\n",
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+ "9GfZ1M705yXTQeDK2vvJL4tJ0hJb5HSQJKkxFgFJWmIWAUlaYhYBSVpiFgFJWmIWAUlaYhYBSVpi\n",
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+ "FgFJWmL/H5jWl+1sWZOIAAAAAElFTkSuQmCC\n"
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+ ],
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+ "text/plain": [
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+ "<matplotlib.figure.Figure at 0x10824f0b8>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
|
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+ }
|
|
|
+ ],
|
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|
+ "source": [
|
|
|
+ "police_killings[\"p_income\"][police_killings[\"p_income\"] != \"-\"].astype(float).hist(bins=20)"
|
|
|
+ ]
|
|
|
+ },
|
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+ {
|
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+ "cell_type": "code",
|
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+ "execution_count": 25,
|
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+ "metadata": {
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+ "collapsed": false
|
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+ },
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+ "outputs": [
|
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+ {
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+ "data": {
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+ "text/plain": [
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+ "22348.0"
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+ ]
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+ },
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+ "execution_count": 25,
|
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+ "metadata": {},
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+ "output_type": "execute_result"
|
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+ }
|
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|
+ ],
|
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+ "source": [
|
|
|
+ "police_killings[\"p_income\"][police_killings[\"p_income\"] != \"-\"].astype(float).median()"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "# Income breakdown\n",
|
|
|
+ "\n",
|
|
|
+ "According to the [Census](https://en.wikipedia.org/wiki/Personal_income_in_the_United_States), median personal income in the US is `28,567`, and our median is `22,348`, which means that shootings tend to happen in less affluent areas. Our sample size is relatively small, though, so it's hard to make sweeping conclusions."
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
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+ "execution_count": 29,
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+ "metadata": {
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+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "state_pop = pd.read_csv(\"state_population.csv\")"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
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+ "execution_count": 38,
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|
+ "metadata": {
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|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "counts = police_killings[\"state_fp\"].value_counts()\n",
|
|
|
+ "\n",
|
|
|
+ "states = pd.DataFrame({\"STATE\": counts.index, \"shootings\": counts})"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
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|
+ "execution_count": 41,
|
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|
+ "metadata": {
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|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "states = states.merge(state_pop, on=\"STATE\")"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 48,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/html": [
|
|
|
+ "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
|
|
|
+ "<table border=\"1\" class=\"dataframe\">\n",
|
|
|
+ " <thead>\n",
|
|
|
+ " <tr style=\"text-align: right;\">\n",
|
|
|
+ " <th></th>\n",
|
|
|
+ " <th>STATE</th>\n",
|
|
|
+ " <th>shootings</th>\n",
|
|
|
+ " <th>SUMLEV</th>\n",
|
|
|
+ " <th>REGION</th>\n",
|
|
|
+ " <th>DIVISION</th>\n",
|
|
|
+ " <th>NAME</th>\n",
|
|
|
+ " <th>POPESTIMATE2015</th>\n",
|
|
|
+ " <th>POPEST18PLUS2015</th>\n",
|
|
|
+ " <th>PCNT_POPEST18PLUS</th>\n",
|
|
|
+ " <th>rate</th>\n",
|
|
|
+ " <th>pop_millions</th>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " </thead>\n",
|
|
|
+ " <tbody>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>43</th>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>Connecticut</td>\n",
|
|
|
+ " <td>3590886</td>\n",
|
|
|
+ " <td>2826827</td>\n",
|
|
|
+ " <td>78.7</td>\n",
|
|
|
+ " <td>0.278483</td>\n",
|
|
|
+ " <td>3.590886</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>22</th>\n",
|
|
|
+ " <td>42</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>Pennsylvania</td>\n",
|
|
|
+ " <td>12802503</td>\n",
|
|
|
+ " <td>10112229</td>\n",
|
|
|
+ " <td>79.0</td>\n",
|
|
|
+ " <td>0.546768</td>\n",
|
|
|
+ " <td>12.802503</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>38</th>\n",
|
|
|
+ " <td>19</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>Iowa</td>\n",
|
|
|
+ " <td>3123899</td>\n",
|
|
|
+ " <td>2395103</td>\n",
|
|
|
+ " <td>76.7</td>\n",
|
|
|
+ " <td>0.640226</td>\n",
|
|
|
+ " <td>3.123899</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>6</th>\n",
|
|
|
+ " <td>36</td>\n",
|
|
|
+ " <td>13</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>19795791</td>\n",
|
|
|
+ " <td>15584974</td>\n",
|
|
|
+ " <td>78.7</td>\n",
|
|
|
+ " <td>0.656705</td>\n",
|
|
|
+ " <td>19.795791</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>29</th>\n",
|
|
|
+ " <td>25</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>Massachusetts</td>\n",
|
|
|
+ " <td>6794422</td>\n",
|
|
|
+ " <td>5407335</td>\n",
|
|
|
+ " <td>79.6</td>\n",
|
|
|
+ " <td>0.735898</td>\n",
|
|
|
+ " <td>6.794422</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>42</th>\n",
|
|
|
+ " <td>33</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>New Hampshire</td>\n",
|
|
|
+ " <td>1330608</td>\n",
|
|
|
+ " <td>1066610</td>\n",
|
|
|
+ " <td>80.2</td>\n",
|
|
|
+ " <td>0.751536</td>\n",
|
|
|
+ " <td>1.330608</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>45</th>\n",
|
|
|
+ " <td>23</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>Maine</td>\n",
|
|
|
+ " <td>1329328</td>\n",
|
|
|
+ " <td>1072948</td>\n",
|
|
|
+ " <td>80.7</td>\n",
|
|
|
+ " <td>0.752260</td>\n",
|
|
|
+ " <td>1.329328</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>11</th>\n",
|
|
|
+ " <td>17</td>\n",
|
|
|
+ " <td>11</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>Illinois</td>\n",
|
|
|
+ " <td>12859995</td>\n",
|
|
|
+ " <td>9901322</td>\n",
|
|
|
+ " <td>77.0</td>\n",
|
|
|
+ " <td>0.855366</td>\n",
|
|
|
+ " <td>12.859995</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>12</th>\n",
|
|
|
+ " <td>39</td>\n",
|
|
|
+ " <td>10</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>Ohio</td>\n",
|
|
|
+ " <td>11613423</td>\n",
|
|
|
+ " <td>8984946</td>\n",
|
|
|
+ " <td>77.4</td>\n",
|
|
|
+ " <td>0.861073</td>\n",
|
|
|
+ " <td>11.613423</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>31</th>\n",
|
|
|
+ " <td>55</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>Wisconsin</td>\n",
|
|
|
+ " <td>5771337</td>\n",
|
|
|
+ " <td>4476711</td>\n",
|
|
|
+ " <td>77.6</td>\n",
|
|
|
+ " <td>0.866350</td>\n",
|
|
|
+ " <td>5.771337</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>16</th>\n",
|
|
|
+ " <td>26</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>Michigan</td>\n",
|
|
|
+ " <td>9922576</td>\n",
|
|
|
+ " <td>7715272</td>\n",
|
|
|
+ " <td>77.8</td>\n",
|
|
|
+ " <td>0.907023</td>\n",
|
|
|
+ " <td>9.922576</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>28</th>\n",
|
|
|
+ " <td>47</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>Tennessee</td>\n",
|
|
|
+ " <td>6600299</td>\n",
|
|
|
+ " <td>5102688</td>\n",
|
|
|
+ " <td>77.3</td>\n",
|
|
|
+ " <td>0.909050</td>\n",
|
|
|
+ " <td>6.600299</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>15</th>\n",
|
|
|
+ " <td>37</td>\n",
|
|
|
+ " <td>10</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>North Carolina</td>\n",
|
|
|
+ " <td>10042802</td>\n",
|
|
|
+ " <td>7752234</td>\n",
|
|
|
+ " <td>77.2</td>\n",
|
|
|
+ " <td>0.995738</td>\n",
|
|
|
+ " <td>10.042802</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>36</th>\n",
|
|
|
+ " <td>32</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Nevada</td>\n",
|
|
|
+ " <td>2890845</td>\n",
|
|
|
+ " <td>2221681</td>\n",
|
|
|
+ " <td>76.9</td>\n",
|
|
|
+ " <td>1.037759</td>\n",
|
|
|
+ " <td>2.890845</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>18</th>\n",
|
|
|
+ " <td>51</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>Virginia</td>\n",
|
|
|
+ " <td>8382993</td>\n",
|
|
|
+ " <td>6512571</td>\n",
|
|
|
+ " <td>77.7</td>\n",
|
|
|
+ " <td>1.073602</td>\n",
|
|
|
+ " <td>8.382993</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>40</th>\n",
|
|
|
+ " <td>54</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>West Virginia</td>\n",
|
|
|
+ " <td>1844128</td>\n",
|
|
|
+ " <td>1464532</td>\n",
|
|
|
+ " <td>79.4</td>\n",
|
|
|
+ " <td>1.084523</td>\n",
|
|
|
+ " <td>1.844128</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>25</th>\n",
|
|
|
+ " <td>27</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>Minnesota</td>\n",
|
|
|
+ " <td>5489594</td>\n",
|
|
|
+ " <td>4205207</td>\n",
|
|
|
+ " <td>76.6</td>\n",
|
|
|
+ " <td>1.092977</td>\n",
|
|
|
+ " <td>5.489594</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>20</th>\n",
|
|
|
+ " <td>18</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>Indiana</td>\n",
|
|
|
+ " <td>6619680</td>\n",
|
|
|
+ " <td>5040224</td>\n",
|
|
|
+ " <td>76.1</td>\n",
|
|
|
+ " <td>1.208518</td>\n",
|
|
|
+ " <td>6.619680</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>8</th>\n",
|
|
|
+ " <td>34</td>\n",
|
|
|
+ " <td>11</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>New Jersey</td>\n",
|
|
|
+ " <td>8958013</td>\n",
|
|
|
+ " <td>6959192</td>\n",
|
|
|
+ " <td>77.7</td>\n",
|
|
|
+ " <td>1.227951</td>\n",
|
|
|
+ " <td>8.958013</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>35</th>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>Arkansas</td>\n",
|
|
|
+ " <td>2978204</td>\n",
|
|
|
+ " <td>2272904</td>\n",
|
|
|
+ " <td>76.3</td>\n",
|
|
|
+ " <td>1.343091</td>\n",
|
|
|
+ " <td>2.978204</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>2</th>\n",
|
|
|
+ " <td>12</td>\n",
|
|
|
+ " <td>29</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>Florida</td>\n",
|
|
|
+ " <td>20271272</td>\n",
|
|
|
+ " <td>16166143</td>\n",
|
|
|
+ " <td>79.7</td>\n",
|
|
|
+ " <td>1.430596</td>\n",
|
|
|
+ " <td>20.271272</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>44</th>\n",
|
|
|
+ " <td>11</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>District of Columbia</td>\n",
|
|
|
+ " <td>672228</td>\n",
|
|
|
+ " <td>554121</td>\n",
|
|
|
+ " <td>82.4</td>\n",
|
|
|
+ " <td>1.487591</td>\n",
|
|
|
+ " <td>0.672228</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>9</th>\n",
|
|
|
+ " <td>53</td>\n",
|
|
|
+ " <td>11</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>Washington</td>\n",
|
|
|
+ " <td>7170351</td>\n",
|
|
|
+ " <td>5558509</td>\n",
|
|
|
+ " <td>77.5</td>\n",
|
|
|
+ " <td>1.534095</td>\n",
|
|
|
+ " <td>7.170351</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>5</th>\n",
|
|
|
+ " <td>13</td>\n",
|
|
|
+ " <td>16</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>Georgia</td>\n",
|
|
|
+ " <td>10214860</td>\n",
|
|
|
+ " <td>7710688</td>\n",
|
|
|
+ " <td>75.5</td>\n",
|
|
|
+ " <td>1.566346</td>\n",
|
|
|
+ " <td>10.214860</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>23</th>\n",
|
|
|
+ " <td>21</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>Kentucky</td>\n",
|
|
|
+ " <td>4425092</td>\n",
|
|
|
+ " <td>3413425</td>\n",
|
|
|
+ " <td>77.1</td>\n",
|
|
|
+ " <td>1.581888</td>\n",
|
|
|
+ " <td>4.425092</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>13</th>\n",
|
|
|
+ " <td>29</td>\n",
|
|
|
+ " <td>10</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>Missouri</td>\n",
|
|
|
+ " <td>6083672</td>\n",
|
|
|
+ " <td>4692196</td>\n",
|
|
|
+ " <td>77.1</td>\n",
|
|
|
+ " <td>1.643744</td>\n",
|
|
|
+ " <td>6.083672</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>21</th>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>Alabama</td>\n",
|
|
|
+ " <td>4858979</td>\n",
|
|
|
+ " <td>3755483</td>\n",
|
|
|
+ " <td>77.3</td>\n",
|
|
|
+ " <td>1.646436</td>\n",
|
|
|
+ " <td>4.858979</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>14</th>\n",
|
|
|
+ " <td>24</td>\n",
|
|
|
+ " <td>10</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>Maryland</td>\n",
|
|
|
+ " <td>6006401</td>\n",
|
|
|
+ " <td>4658175</td>\n",
|
|
|
+ " <td>77.6</td>\n",
|
|
|
+ " <td>1.664891</td>\n",
|
|
|
+ " <td>6.006401</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>30</th>\n",
|
|
|
+ " <td>49</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Utah</td>\n",
|
|
|
+ " <td>2995919</td>\n",
|
|
|
+ " <td>2083423</td>\n",
|
|
|
+ " <td>69.5</td>\n",
|
|
|
+ " <td>1.668937</td>\n",
|
|
|
+ " <td>2.995919</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>46</th>\n",
|
|
|
+ " <td>56</td>\n",
|
|
|
+ " <td>1</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Wyoming</td>\n",
|
|
|
+ " <td>586107</td>\n",
|
|
|
+ " <td>447212</td>\n",
|
|
|
+ " <td>76.3</td>\n",
|
|
|
+ " <td>1.706173</td>\n",
|
|
|
+ " <td>0.586107</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>1</th>\n",
|
|
|
+ " <td>48</td>\n",
|
|
|
+ " <td>47</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>Texas</td>\n",
|
|
|
+ " <td>27469114</td>\n",
|
|
|
+ " <td>20257343</td>\n",
|
|
|
+ " <td>73.7</td>\n",
|
|
|
+ " <td>1.711013</td>\n",
|
|
|
+ " <td>27.469114</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>17</th>\n",
|
|
|
+ " <td>45</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>South Carolina</td>\n",
|
|
|
+ " <td>4896146</td>\n",
|
|
|
+ " <td>3804558</td>\n",
|
|
|
+ " <td>77.7</td>\n",
|
|
|
+ " <td>1.838180</td>\n",
|
|
|
+ " <td>4.896146</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>0</th>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>74</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>California</td>\n",
|
|
|
+ " <td>39144818</td>\n",
|
|
|
+ " <td>30023902</td>\n",
|
|
|
+ " <td>76.7</td>\n",
|
|
|
+ " <td>1.890416</td>\n",
|
|
|
+ " <td>39.144818</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>37</th>\n",
|
|
|
+ " <td>30</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Montana</td>\n",
|
|
|
+ " <td>1032949</td>\n",
|
|
|
+ " <td>806529</td>\n",
|
|
|
+ " <td>78.1</td>\n",
|
|
|
+ " <td>1.936204</td>\n",
|
|
|
+ " <td>1.032949</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>19</th>\n",
|
|
|
+ " <td>41</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>Oregon</td>\n",
|
|
|
+ " <td>4028977</td>\n",
|
|
|
+ " <td>3166121</td>\n",
|
|
|
+ " <td>78.6</td>\n",
|
|
|
+ " <td>1.985616</td>\n",
|
|
|
+ " <td>4.028977</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>26</th>\n",
|
|
|
+ " <td>28</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>Mississippi</td>\n",
|
|
|
+ " <td>2992333</td>\n",
|
|
|
+ " <td>2265485</td>\n",
|
|
|
+ " <td>75.7</td>\n",
|
|
|
+ " <td>2.005124</td>\n",
|
|
|
+ " <td>2.992333</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>24</th>\n",
|
|
|
+ " <td>20</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>Kansas</td>\n",
|
|
|
+ " <td>2911641</td>\n",
|
|
|
+ " <td>2192084</td>\n",
|
|
|
+ " <td>75.3</td>\n",
|
|
|
+ " <td>2.060694</td>\n",
|
|
|
+ " <td>2.911641</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>41</th>\n",
|
|
|
+ " <td>10</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>Delaware</td>\n",
|
|
|
+ " <td>945934</td>\n",
|
|
|
+ " <td>741548</td>\n",
|
|
|
+ " <td>78.4</td>\n",
|
|
|
+ " <td>2.114312</td>\n",
|
|
|
+ " <td>0.945934</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>7</th>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>12</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Colorado</td>\n",
|
|
|
+ " <td>5456574</td>\n",
|
|
|
+ " <td>4199509</td>\n",
|
|
|
+ " <td>77.0</td>\n",
|
|
|
+ " <td>2.199182</td>\n",
|
|
|
+ " <td>5.456574</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>10</th>\n",
|
|
|
+ " <td>22</td>\n",
|
|
|
+ " <td>11</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>Louisiana</td>\n",
|
|
|
+ " <td>4670724</td>\n",
|
|
|
+ " <td>3555911</td>\n",
|
|
|
+ " <td>76.1</td>\n",
|
|
|
+ " <td>2.355095</td>\n",
|
|
|
+ " <td>4.670724</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>32</th>\n",
|
|
|
+ " <td>35</td>\n",
|
|
|
+ " <td>5</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>New Mexico</td>\n",
|
|
|
+ " <td>2085109</td>\n",
|
|
|
+ " <td>1588201</td>\n",
|
|
|
+ " <td>76.2</td>\n",
|
|
|
+ " <td>2.397956</td>\n",
|
|
|
+ " <td>2.085109</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>33</th>\n",
|
|
|
+ " <td>16</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Idaho</td>\n",
|
|
|
+ " <td>1654930</td>\n",
|
|
|
+ " <td>1222093</td>\n",
|
|
|
+ " <td>73.8</td>\n",
|
|
|
+ " <td>2.417021</td>\n",
|
|
|
+ " <td>1.654930</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>39</th>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>Alaska</td>\n",
|
|
|
+ " <td>738432</td>\n",
|
|
|
+ " <td>552166</td>\n",
|
|
|
+ " <td>74.8</td>\n",
|
|
|
+ " <td>2.708442</td>\n",
|
|
|
+ " <td>0.738432</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>34</th>\n",
|
|
|
+ " <td>15</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>9</td>\n",
|
|
|
+ " <td>Hawaii</td>\n",
|
|
|
+ " <td>1431603</td>\n",
|
|
|
+ " <td>1120770</td>\n",
|
|
|
+ " <td>78.3</td>\n",
|
|
|
+ " <td>2.794071</td>\n",
|
|
|
+ " <td>1.431603</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>27</th>\n",
|
|
|
+ " <td>31</td>\n",
|
|
|
+ " <td>6</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>2</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>Nebraska</td>\n",
|
|
|
+ " <td>1896190</td>\n",
|
|
|
+ " <td>1425853</td>\n",
|
|
|
+ " <td>75.2</td>\n",
|
|
|
+ " <td>3.164240</td>\n",
|
|
|
+ " <td>1.896190</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>3</th>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>25</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>4</td>\n",
|
|
|
+ " <td>8</td>\n",
|
|
|
+ " <td>Arizona</td>\n",
|
|
|
+ " <td>6828065</td>\n",
|
|
|
+ " <td>5205215</td>\n",
|
|
|
+ " <td>76.2</td>\n",
|
|
|
+ " <td>3.661359</td>\n",
|
|
|
+ " <td>6.828065</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>4</th>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>22</td>\n",
|
|
|
+ " <td>40</td>\n",
|
|
|
+ " <td>3</td>\n",
|
|
|
+ " <td>7</td>\n",
|
|
|
+ " <td>Oklahoma</td>\n",
|
|
|
+ " <td>3911338</td>\n",
|
|
|
+ " <td>2950017</td>\n",
|
|
|
+ " <td>75.4</td>\n",
|
|
|
+ " <td>5.624674</td>\n",
|
|
|
+ " <td>3.911338</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " </tbody>\n",
|
|
|
+ "</table>\n",
|
|
|
+ "</div>"
|
|
|
+ ],
|
|
|
+ "text/plain": [
|
|
|
+ " STATE shootings SUMLEV REGION DIVISION NAME \\\n",
|
|
|
+ "43 9 1 40 1 1 Connecticut \n",
|
|
|
+ "22 42 7 40 1 2 Pennsylvania \n",
|
|
|
+ "38 19 2 40 2 4 Iowa \n",
|
|
|
+ "6 36 13 40 1 2 New York \n",
|
|
|
+ "29 25 5 40 1 1 Massachusetts \n",
|
|
|
+ "42 33 1 40 1 1 New Hampshire \n",
|
|
|
+ "45 23 1 40 1 1 Maine \n",
|
|
|
+ "11 17 11 40 2 3 Illinois \n",
|
|
|
+ "12 39 10 40 2 3 Ohio \n",
|
|
|
+ "31 55 5 40 2 3 Wisconsin \n",
|
|
|
+ "16 26 9 40 2 3 Michigan \n",
|
|
|
+ "28 47 6 40 3 6 Tennessee \n",
|
|
|
+ "15 37 10 40 3 5 North Carolina \n",
|
|
|
+ "36 32 3 40 4 8 Nevada \n",
|
|
|
+ "18 51 9 40 3 5 Virginia \n",
|
|
|
+ "40 54 2 40 3 5 West Virginia \n",
|
|
|
+ "25 27 6 40 2 4 Minnesota \n",
|
|
|
+ "20 18 8 40 2 3 Indiana \n",
|
|
|
+ "8 34 11 40 1 2 New Jersey \n",
|
|
|
+ "35 5 4 40 3 7 Arkansas \n",
|
|
|
+ "2 12 29 40 3 5 Florida \n",
|
|
|
+ "44 11 1 40 3 5 District of Columbia \n",
|
|
|
+ "9 53 11 40 4 9 Washington \n",
|
|
|
+ "5 13 16 40 3 5 Georgia \n",
|
|
|
+ "23 21 7 40 3 6 Kentucky \n",
|
|
|
+ "13 29 10 40 2 4 Missouri \n",
|
|
|
+ "21 1 8 40 3 6 Alabama \n",
|
|
|
+ "14 24 10 40 3 5 Maryland \n",
|
|
|
+ "30 49 5 40 4 8 Utah \n",
|
|
|
+ "46 56 1 40 4 8 Wyoming \n",
|
|
|
+ "1 48 47 40 3 7 Texas \n",
|
|
|
+ "17 45 9 40 3 5 South Carolina \n",
|
|
|
+ "0 6 74 40 4 9 California \n",
|
|
|
+ "37 30 2 40 4 8 Montana \n",
|
|
|
+ "19 41 8 40 4 9 Oregon \n",
|
|
|
+ "26 28 6 40 3 6 Mississippi \n",
|
|
|
+ "24 20 6 40 2 4 Kansas \n",
|
|
|
+ "41 10 2 40 3 5 Delaware \n",
|
|
|
+ "7 8 12 40 4 8 Colorado \n",
|
|
|
+ "10 22 11 40 3 7 Louisiana \n",
|
|
|
+ "32 35 5 40 4 8 New Mexico \n",
|
|
|
+ "33 16 4 40 4 8 Idaho \n",
|
|
|
+ "39 2 2 40 4 9 Alaska \n",
|
|
|
+ "34 15 4 40 4 9 Hawaii \n",
|
|
|
+ "27 31 6 40 2 4 Nebraska \n",
|
|
|
+ "3 4 25 40 4 8 Arizona \n",
|
|
|
+ "4 40 22 40 3 7 Oklahoma \n",
|
|
|
+ "\n",
|
|
|
+ " POPESTIMATE2015 POPEST18PLUS2015 PCNT_POPEST18PLUS rate \\\n",
|
|
|
+ "43 3590886 2826827 78.7 0.278483 \n",
|
|
|
+ "22 12802503 10112229 79.0 0.546768 \n",
|
|
|
+ "38 3123899 2395103 76.7 0.640226 \n",
|
|
|
+ "6 19795791 15584974 78.7 0.656705 \n",
|
|
|
+ "29 6794422 5407335 79.6 0.735898 \n",
|
|
|
+ "42 1330608 1066610 80.2 0.751536 \n",
|
|
|
+ "45 1329328 1072948 80.7 0.752260 \n",
|
|
|
+ "11 12859995 9901322 77.0 0.855366 \n",
|
|
|
+ "12 11613423 8984946 77.4 0.861073 \n",
|
|
|
+ "31 5771337 4476711 77.6 0.866350 \n",
|
|
|
+ "16 9922576 7715272 77.8 0.907023 \n",
|
|
|
+ "28 6600299 5102688 77.3 0.909050 \n",
|
|
|
+ "15 10042802 7752234 77.2 0.995738 \n",
|
|
|
+ "36 2890845 2221681 76.9 1.037759 \n",
|
|
|
+ "18 8382993 6512571 77.7 1.073602 \n",
|
|
|
+ "40 1844128 1464532 79.4 1.084523 \n",
|
|
|
+ "25 5489594 4205207 76.6 1.092977 \n",
|
|
|
+ "20 6619680 5040224 76.1 1.208518 \n",
|
|
|
+ "8 8958013 6959192 77.7 1.227951 \n",
|
|
|
+ "35 2978204 2272904 76.3 1.343091 \n",
|
|
|
+ "2 20271272 16166143 79.7 1.430596 \n",
|
|
|
+ "44 672228 554121 82.4 1.487591 \n",
|
|
|
+ "9 7170351 5558509 77.5 1.534095 \n",
|
|
|
+ "5 10214860 7710688 75.5 1.566346 \n",
|
|
|
+ "23 4425092 3413425 77.1 1.581888 \n",
|
|
|
+ "13 6083672 4692196 77.1 1.643744 \n",
|
|
|
+ "21 4858979 3755483 77.3 1.646436 \n",
|
|
|
+ "14 6006401 4658175 77.6 1.664891 \n",
|
|
|
+ "30 2995919 2083423 69.5 1.668937 \n",
|
|
|
+ "46 586107 447212 76.3 1.706173 \n",
|
|
|
+ "1 27469114 20257343 73.7 1.711013 \n",
|
|
|
+ "17 4896146 3804558 77.7 1.838180 \n",
|
|
|
+ "0 39144818 30023902 76.7 1.890416 \n",
|
|
|
+ "37 1032949 806529 78.1 1.936204 \n",
|
|
|
+ "19 4028977 3166121 78.6 1.985616 \n",
|
|
|
+ "26 2992333 2265485 75.7 2.005124 \n",
|
|
|
+ "24 2911641 2192084 75.3 2.060694 \n",
|
|
|
+ "41 945934 741548 78.4 2.114312 \n",
|
|
|
+ "7 5456574 4199509 77.0 2.199182 \n",
|
|
|
+ "10 4670724 3555911 76.1 2.355095 \n",
|
|
|
+ "32 2085109 1588201 76.2 2.397956 \n",
|
|
|
+ "33 1654930 1222093 73.8 2.417021 \n",
|
|
|
+ "39 738432 552166 74.8 2.708442 \n",
|
|
|
+ "34 1431603 1120770 78.3 2.794071 \n",
|
|
|
+ "27 1896190 1425853 75.2 3.164240 \n",
|
|
|
+ "3 6828065 5205215 76.2 3.661359 \n",
|
|
|
+ "4 3911338 2950017 75.4 5.624674 \n",
|
|
|
+ "\n",
|
|
|
+ " pop_millions \n",
|
|
|
+ "43 3.590886 \n",
|
|
|
+ "22 12.802503 \n",
|
|
|
+ "38 3.123899 \n",
|
|
|
+ "6 19.795791 \n",
|
|
|
+ "29 6.794422 \n",
|
|
|
+ "42 1.330608 \n",
|
|
|
+ "45 1.329328 \n",
|
|
|
+ "11 12.859995 \n",
|
|
|
+ "12 11.613423 \n",
|
|
|
+ "31 5.771337 \n",
|
|
|
+ "16 9.922576 \n",
|
|
|
+ "28 6.600299 \n",
|
|
|
+ "15 10.042802 \n",
|
|
|
+ "36 2.890845 \n",
|
|
|
+ "18 8.382993 \n",
|
|
|
+ "40 1.844128 \n",
|
|
|
+ "25 5.489594 \n",
|
|
|
+ "20 6.619680 \n",
|
|
|
+ "8 8.958013 \n",
|
|
|
+ "35 2.978204 \n",
|
|
|
+ "2 20.271272 \n",
|
|
|
+ "44 0.672228 \n",
|
|
|
+ "9 7.170351 \n",
|
|
|
+ "5 10.214860 \n",
|
|
|
+ "23 4.425092 \n",
|
|
|
+ "13 6.083672 \n",
|
|
|
+ "21 4.858979 \n",
|
|
|
+ "14 6.006401 \n",
|
|
|
+ "30 2.995919 \n",
|
|
|
+ "46 0.586107 \n",
|
|
|
+ "1 27.469114 \n",
|
|
|
+ "17 4.896146 \n",
|
|
|
+ "0 39.144818 \n",
|
|
|
+ "37 1.032949 \n",
|
|
|
+ "19 4.028977 \n",
|
|
|
+ "26 2.992333 \n",
|
|
|
+ "24 2.911641 \n",
|
|
|
+ "41 0.945934 \n",
|
|
|
+ "7 5.456574 \n",
|
|
|
+ "10 4.670724 \n",
|
|
|
+ "32 2.085109 \n",
|
|
|
+ "33 1.654930 \n",
|
|
|
+ "39 0.738432 \n",
|
|
|
+ "34 1.431603 \n",
|
|
|
+ "27 1.896190 \n",
|
|
|
+ "3 6.828065 \n",
|
|
|
+ "4 3.911338 "
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 48,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "states[\"pop_millions\"] = states[\"POPESTIMATE2015\"] / 1000000\n",
|
|
|
+ "states[\"rate\"] = states[\"shootings\"] / states[\"pop_millions\"]\n",
|
|
|
+ "\n",
|
|
|
+ "states.sort(\"rate\")"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "## Killings by state\n",
|
|
|
+ "\n",
|
|
|
+ "States in the midwest and south seem to have the highest police killing rates, whereas those in the northeast seem to have the lowest."
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 50,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false,
|
|
|
+ "scrolled": true
|
|
|
+ },
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "CA 74\n",
|
|
|
+ "TX 46\n",
|
|
|
+ "FL 29\n",
|
|
|
+ "AZ 25\n",
|
|
|
+ "OK 22\n",
|
|
|
+ "GA 16\n",
|
|
|
+ "NY 14\n",
|
|
|
+ "CO 12\n",
|
|
|
+ "LA 11\n",
|
|
|
+ "WA 11\n",
|
|
|
+ "IL 11\n",
|
|
|
+ "NJ 11\n",
|
|
|
+ "MO 10\n",
|
|
|
+ "MD 10\n",
|
|
|
+ "OH 10\n",
|
|
|
+ "NC 10\n",
|
|
|
+ "VA 9\n",
|
|
|
+ "SC 9\n",
|
|
|
+ "MI 9\n",
|
|
|
+ "AL 8\n",
|
|
|
+ "OR 8\n",
|
|
|
+ "IN 8\n",
|
|
|
+ "PA 7\n",
|
|
|
+ "KY 7\n",
|
|
|
+ "MS 6\n",
|
|
|
+ "KS 6\n",
|
|
|
+ "NE 6\n",
|
|
|
+ "TN 6\n",
|
|
|
+ "MN 6\n",
|
|
|
+ "UT 5\n",
|
|
|
+ "MA 5\n",
|
|
|
+ "WI 5\n",
|
|
|
+ "NM 5\n",
|
|
|
+ "ID 4\n",
|
|
|
+ "HI 4\n",
|
|
|
+ "AR 4\n",
|
|
|
+ "NV 3\n",
|
|
|
+ "MT 2\n",
|
|
|
+ "AK 2\n",
|
|
|
+ "DE 2\n",
|
|
|
+ "WV 2\n",
|
|
|
+ "IA 2\n",
|
|
|
+ "DC 1\n",
|
|
|
+ "CT 1\n",
|
|
|
+ "NH 1\n",
|
|
|
+ "WY 1\n",
|
|
|
+ "ME 1\n",
|
|
|
+ "dtype: int64"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 50,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "police_killings[\"state\"].value_counts()"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 66,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": false
|
|
|
+ },
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "name": "stderr",
|
|
|
+ "output_type": "stream",
|
|
|
+ "text": [
|
|
|
+ "/Users/vik/python_envs/dscontent/lib/python3.4/site-packages/IPython/kernel/__main__.py:7: SettingWithCopyWarning: \n",
|
|
|
+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
|
|
+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
|
|
|
+ "\n",
|
|
|
+ "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
|
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|
+ "/Users/vik/python_envs/dscontent/lib/python3.4/site-packages/IPython/kernel/__main__.py:8: SettingWithCopyWarning: \n",
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+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
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+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
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+ "\n",
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+ "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
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+ "/Users/vik/python_envs/dscontent/lib/python3.4/site-packages/IPython/kernel/__main__.py:9: SettingWithCopyWarning: \n",
|
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+ "A value is trying to be set on a copy of a slice from a DataFrame.\n",
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|
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+ "Try using .loc[row_indexer,col_indexer] = value instead\n",
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+ "\n",
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+ "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "pk = police_killings[\n",
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+ " (police_killings[\"share_white\"] != \"-\") & \n",
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+ " (police_killings[\"share_black\"] != \"-\") & \n",
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+ " (police_killings[\"share_hispanic\"] != \"-\")\n",
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+ "]\n",
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+ "\n",
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+ "pk[\"share_white\"] = pk[\"share_white\"].astype(float)\n",
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+ "pk[\"share_black\"] = pk[\"share_black\"].astype(float)\n",
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+ "pk[\"share_hispanic\"] = pk[\"share_hispanic\"].astype(float)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 67,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [],
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+ "source": [
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+ "lowest_states = [\"CT\", \"PA\", \"IA\", \"NY\", \"MA\", \"NH\", \"ME\", \"IL\", \"OH\", \"WI\"]\n",
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+ "highest_states = [\"OK\", \"AZ\", \"NE\", \"HI\", \"AK\", \"ID\", \"NM\", \"LA\", \"CO\", \"DE\"]\n",
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+ "\n",
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+ "ls = pk[pk[\"state\"].isin(lowest_states)]\n",
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+ "hs = pk[pk[\"state\"].isin(highest_states)]"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 68,
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+ "metadata": {
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+ "collapsed": false
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+ },
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "pop 4201.660714\n",
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+ "county_income 54830.839286\n",
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+ "share_white 60.616071\n",
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+ "share_black 21.257143\n",
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+ "share_hispanic 12.948214\n",
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+ "dtype: float64"
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+ ]
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+ },
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+ "execution_count": 68,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "columns = [\"pop\", \"county_income\", \"share_white\", \"share_black\", \"share_hispanic\"]\n",
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+ "\n",
|
|
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+ "ls[columns].mean()"
|
|
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+ ]
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+ },
|
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+ {
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+ "cell_type": "code",
|
|
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+ "execution_count": 69,
|
|
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+ "metadata": {
|
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+ "collapsed": false
|
|
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+ },
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|
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+ "outputs": [
|
|
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+ {
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+ "data": {
|
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+ "text/plain": [
|
|
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+ "pop 4315.750000\n",
|
|
|
+ "county_income 48706.967391\n",
|
|
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+ "share_white 55.652174\n",
|
|
|
+ "share_black 11.532609\n",
|
|
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+ "share_hispanic 20.693478\n",
|
|
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+ "dtype: float64"
|
|
|
+ ]
|
|
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+ },
|
|
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+ "execution_count": 69,
|
|
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+ "metadata": {},
|
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+ "output_type": "execute_result"
|
|
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+ }
|
|
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+ ],
|
|
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+ "source": [
|
|
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+ "hs[columns].mean()"
|
|
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+ ]
|
|
|
+ },
|
|
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+ {
|
|
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+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
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+ "source": [
|
|
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+ "## State by state rates\n",
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|
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+ "\n",
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|
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+ "It looks like the states with low rates of shootings tend to have a higher proportion of blacks in the population, and a lower proportion of hispanics in the census regions where the shootings occur. It looks like the income of the counties where the shootings occur is higher.\n",
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+ "\n",
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+ "States with high rates of shootings tend to have high hispanic population shares in the counties where shootings occur."
|
|
|
+ ]
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "metadata": {
|
|
|
+ "kernelspec": {
|
|
|
+ "display_name": "Python 3",
|
|
|
+ "language": "python",
|
|
|
+ "name": "python3"
|
|
|
+ },
|
|
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+ "language_info": {
|
|
|
+ "codemirror_mode": {
|
|
|
+ "name": "ipython",
|
|
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+ "version": 3
|
|
|
+ },
|
|
|
+ "file_extension": ".py",
|
|
|
+ "mimetype": "text/x-python",
|
|
|
+ "name": "python",
|
|
|
+ "nbconvert_exporter": "python",
|
|
|
+ "pygments_lexer": "ipython3",
|
|
|
+ "version": "3.4.2"
|
|
|
+ }
|
|
|
+ },
|
|
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+ "nbformat": 4,
|
|
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+ "nbformat_minor": 0
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+}
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Vik Paruchuri