{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 15 minute explore of Womens March Dataset from data.world"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "% matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('https://query.data.world/s/78ou6jcu4jfseul53lu1w3nio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location</th>\n",
       "      <th>crowd-low-estimate</th>\n",
       "      <th>crowd-high-estimate</th>\n",
       "      <th>mean-high-low</th>\n",
       "      <th>source</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abilene, TX</td>\n",
       "      <td>200</td>\n",
       "      <td>200</td>\n",
       "      <td>200.0</td>\n",
       "      <td>http://www.reporternews.com/story/news/local/2...</td>\n",
       "      <td>32.576489</td>\n",
       "      <td>-99.665323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Accident, MD</td>\n",
       "      <td>54</td>\n",
       "      <td>54</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Twitter; on-site witness</td>\n",
       "      <td>39.628700</td>\n",
       "      <td>-79.319760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adak, AK</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>adn.com</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adrian, MI</td>\n",
       "      <td>130</td>\n",
       "      <td>150</td>\n",
       "      <td>140.0</td>\n",
       "      <td>https://www.facebook.com/events/847360115406578/</td>\n",
       "      <td>41.889943</td>\n",
       "      <td>-84.065892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ajo, AZ</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>250.0</td>\n",
       "      <td>https://www.facebook.com/plugins/post.php?href...</td>\n",
       "      <td>32.384890</td>\n",
       "      <td>-112.890110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alameda, CA</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>FB</td>\n",
       "      <td>37.770563</td>\n",
       "      <td>-122.264779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alamosa, CO</td>\n",
       "      <td>350</td>\n",
       "      <td>350</td>\n",
       "      <td>350.0</td>\n",
       "      <td>https://twitter.com/zepol/status/8232349739352...</td>\n",
       "      <td>37.479933</td>\n",
       "      <td>-105.790967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Albany, CA</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "      <td>500.0</td>\n",
       "      <td>https://twitter.com/ben_silverman/status/82303...</td>\n",
       "      <td>42.614852</td>\n",
       "      <td>-73.970812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Albany, NY</td>\n",
       "      <td>7,000</td>\n",
       "      <td>9,000</td>\n",
       "      <td>8000.0</td>\n",
       "      <td>http://www.timesunion.com/local/article/Albany...</td>\n",
       "      <td>42.614852</td>\n",
       "      <td>-73.970812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Alexandria, VA</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17.0</td>\n",
       "      <td>https://twitter.com/TinaPStacy/status/82322604...</td>\n",
       "      <td>38.819853</td>\n",
       "      <td>-77.059645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Albuquerque, NM</td>\n",
       "      <td>3,000</td>\n",
       "      <td>20,000</td>\n",
       "      <td>11500.0</td>\n",
       "      <td>http://www.koat.com/article/thousands-fill-civ...</td>\n",
       "      <td>35.199592</td>\n",
       "      <td>-106.644831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Almanor West, CA</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>eyewitness; picture</td>\n",
       "      <td>44.984663</td>\n",
       "      <td>-93.542233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Alpine, TX</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96.0</td>\n",
       "      <td>https://twitter.com/sarahmvasquez/status/82318...</td>\n",
       "      <td>32.810624</td>\n",
       "      <td>-116.710667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Amarillo, TX</td>\n",
       "      <td>600</td>\n",
       "      <td>600</td>\n",
       "      <td>600.0</td>\n",
       "      <td>https://www.texastribune.org/2017/01/21/thousa...</td>\n",
       "      <td>35.206030</td>\n",
       "      <td>-101.839602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Amelia Island, FL</td>\n",
       "      <td>700</td>\n",
       "      <td>1,300</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>http://www.firstcoastnews.com/news/womens-marc...</td>\n",
       "      <td>42.271790</td>\n",
       "      <td>-88.188464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Anacortes, WA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.goskagit.com/skagit/hundreds-partic...</td>\n",
       "      <td>48.499172</td>\n",
       "      <td>-122.607111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Anchorage, AK</td>\n",
       "      <td>2,000</td>\n",
       "      <td>3,000</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>https://www.adn.com/alaska-news/2017/01/21/lar...</td>\n",
       "      <td>61.220018</td>\n",
       "      <td>-149.855702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ann Arbor, MI</td>\n",
       "      <td>11,000</td>\n",
       "      <td>11,000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>http://www.mlive.com/news/ann-arbor/index.ssf/...</td>\n",
       "      <td>42.266638</td>\n",
       "      <td>-83.849042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Annapolis, MD</td>\n",
       "      <td>1,600</td>\n",
       "      <td>1,600</td>\n",
       "      <td>1600.0</td>\n",
       "      <td>http://www.capitalgazette.com/news/annapolis/p...</td>\n",
       "      <td>38.987750</td>\n",
       "      <td>-76.552800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Arlington, VA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.635563</td>\n",
       "      <td>-97.148829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Asbury Park, NJ</td>\n",
       "      <td>6,000</td>\n",
       "      <td>6,000</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>https://twitter.com/JuliaJHobbs/status/8229551...</td>\n",
       "      <td>40.250725</td>\n",
       "      <td>-74.048582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Asheville, NC</td>\n",
       "      <td>7,000</td>\n",
       "      <td>10,000</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>http://wlos.com/news/local/photo-gallery-the-w...</td>\n",
       "      <td>35.602711</td>\n",
       "      <td>-82.567281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Ashland, OR</td>\n",
       "      <td>6,000</td>\n",
       "      <td>8000</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>http://www.mailtribune.com/news/20170121/voice...</td>\n",
       "      <td>38.473824</td>\n",
       "      <td>-82.647933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Aspen, CO</td>\n",
       "      <td>1,000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>https://twitter.com/SarahGoTrillIum/status/823...</td>\n",
       "      <td>39.169324</td>\n",
       "      <td>-106.776744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Astoria, OR</td>\n",
       "      <td>100</td>\n",
       "      <td>1000</td>\n",
       "      <td>550.0</td>\n",
       "      <td>http://www.dailyastorian.com/Local_News/201701...</td>\n",
       "      <td>46.142206</td>\n",
       "      <td>-123.795996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Athens, GA</td>\n",
       "      <td>700</td>\n",
       "      <td>5000</td>\n",
       "      <td>2850.0</td>\n",
       "      <td>http://onlineathens.com/slideshow/2017-01-21/p...</td>\n",
       "      <td>40.605382</td>\n",
       "      <td>-73.755133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Atlanta, GA</td>\n",
       "      <td>60,000</td>\n",
       "      <td>63000</td>\n",
       "      <td>61500.0</td>\n",
       "      <td>http://www.ajc.com/news/state--regional-govt--...</td>\n",
       "      <td>33.844371</td>\n",
       "      <td>-84.474050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Augusta, GA</td>\n",
       "      <td>600</td>\n",
       "      <td>600</td>\n",
       "      <td>600.0</td>\n",
       "      <td>http://chronicle.augusta.com/news/2017-01-21/h...</td>\n",
       "      <td>44.351642</td>\n",
       "      <td>-69.803773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Augusta, ME</td>\n",
       "      <td>10,000</td>\n",
       "      <td>10000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>http://bangordailynews.com/2017/01/21/news/sta...</td>\n",
       "      <td>44.351642</td>\n",
       "      <td>-69.803773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Austin, TX</td>\n",
       "      <td>30,000</td>\n",
       "      <td>50,000</td>\n",
       "      <td>40000.0</td>\n",
       "      <td>http://kut.org/post/tens-thousands-participate...</td>\n",
       "      <td>30.326374</td>\n",
       "      <td>-97.771258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>Watertown, NY</td>\n",
       "      <td>250</td>\n",
       "      <td>250</td>\n",
       "      <td>250.0</td>\n",
       "      <td>http://www.watertowndailytimes.com/news03/wate...</td>\n",
       "      <td>43.968892</td>\n",
       "      <td>-75.906501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>Watsonville, CA</td>\n",
       "      <td>300</td>\n",
       "      <td>500</td>\n",
       "      <td>400.0</td>\n",
       "      <td>eyewitness</td>\n",
       "      <td>36.980250</td>\n",
       "      <td>-121.746960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Wausau, WI</td>\n",
       "      <td>200</td>\n",
       "      <td>200</td>\n",
       "      <td>200.0</td>\n",
       "      <td>FB</td>\n",
       "      <td>44.963304</td>\n",
       "      <td>-89.704051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Welches, OR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.327305</td>\n",
       "      <td>-121.973561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>Wellfleet, MA</td>\n",
       "      <td>113</td>\n",
       "      <td>113</td>\n",
       "      <td>113.0</td>\n",
       "      <td>via email (JP)</td>\n",
       "      <td>40.762172</td>\n",
       "      <td>-100.760429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>Wenatchee, WA</td>\n",
       "      <td>2,000</td>\n",
       "      <td>2,000</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>http://www.wenatcheeworld.com/news/2017/jan/21...</td>\n",
       "      <td>47.573816</td>\n",
       "      <td>-120.351884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>West Chester, PA</td>\n",
       "      <td>150</td>\n",
       "      <td>200</td>\n",
       "      <td>175.0</td>\n",
       "      <td>https://wcborodems.org/2017/01/21/in-solidarit...</td>\n",
       "      <td>39.980107</td>\n",
       "      <td>-75.610503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>West Jefferson, NC</td>\n",
       "      <td>250</td>\n",
       "      <td>300</td>\n",
       "      <td>275.0</td>\n",
       "      <td>https://twitter.com/wineymomof2/status/8229288...</td>\n",
       "      <td>39.948860</td>\n",
       "      <td>-83.309892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>West Lima, WI</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Twitter</td>\n",
       "      <td>42.078130</td>\n",
       "      <td>-76.845236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>West Palm Beach, FL</td>\n",
       "      <td>5,000</td>\n",
       "      <td>7000</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>http://www.palmbeachpost.com/news/local/thousa...</td>\n",
       "      <td>40.224597</td>\n",
       "      <td>-111.669615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>Westfield, NJ</td>\n",
       "      <td>1,000</td>\n",
       "      <td>2,000</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>https://www.tapinto.net/towns/westfield/articl...</td>\n",
       "      <td>40.691613</td>\n",
       "      <td>-112.001050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>Wichita, KS</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>http://www.kansas.com/news/local/article127951...</td>\n",
       "      <td>37.651974</td>\n",
       "      <td>-97.258997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>Wichita Falls, TX</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150.0</td>\n",
       "      <td>http://www.timesrecordnews.com/story/news/loca...</td>\n",
       "      <td>33.905544</td>\n",
       "      <td>-98.479881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>Williamsburg, VA</td>\n",
       "      <td>700</td>\n",
       "      <td>1000</td>\n",
       "      <td>850.0</td>\n",
       "      <td>http://wydaily.com/2017/01/21/womens-march-in-...</td>\n",
       "      <td>37.310451</td>\n",
       "      <td>-76.746769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>Willits, CA</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50.0</td>\n",
       "      <td>FB</td>\n",
       "      <td>39.525958</td>\n",
       "      <td>-123.365730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>Wilmington, NC</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>http://www.twcnews.com/nc/coastal/news/2017/01...</td>\n",
       "      <td>34.271985</td>\n",
       "      <td>-77.963628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>Wilton, NH</td>\n",
       "      <td>100</td>\n",
       "      <td>125</td>\n",
       "      <td>112.5</td>\n",
       "      <td>onsite eyewitness who did headcount (via googl...</td>\n",
       "      <td>43.073715</td>\n",
       "      <td>-73.740236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>Winchester, VA</td>\n",
       "      <td>700</td>\n",
       "      <td>1200</td>\n",
       "      <td>950.0</td>\n",
       "      <td>onsite eyewitness &amp; local news (via google form)</td>\n",
       "      <td>36.131662</td>\n",
       "      <td>-115.168382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>Winston-Salem, NC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.111102</td>\n",
       "      <td>-80.200493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>Winters, CA</td>\n",
       "      <td>200</td>\n",
       "      <td>200</td>\n",
       "      <td>200.0</td>\n",
       "      <td>FB</td>\n",
       "      <td>28.686894</td>\n",
       "      <td>-81.273258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>Woodstock, NY</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>FB</td>\n",
       "      <td>42.320271</td>\n",
       "      <td>-88.462832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>Woodstock, VA</td>\n",
       "      <td>400</td>\n",
       "      <td>400</td>\n",
       "      <td>400.0</td>\n",
       "      <td>http://www.nvdaily.com/uncategorized/2017/01/w...</td>\n",
       "      <td>42.320271</td>\n",
       "      <td>-88.462832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>Wooster, OH</td>\n",
       "      <td>500</td>\n",
       "      <td>1000</td>\n",
       "      <td>750.0</td>\n",
       "      <td>http://www.the-daily-record.com/local%20news/2...</td>\n",
       "      <td>40.830699</td>\n",
       "      <td>-81.895377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>Worcester, MA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://www.telegram.com/news/20170121/central-...</td>\n",
       "      <td>42.265275</td>\n",
       "      <td>-71.879415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>Wyckoff, NJ</td>\n",
       "      <td>300</td>\n",
       "      <td>500</td>\n",
       "      <td>400.0</td>\n",
       "      <td>http://www.northjersey.com/story/news/local/20...</td>\n",
       "      <td>45.341881</td>\n",
       "      <td>-117.872662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>Yakima, WA</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>http://www.yakimaherald.com/news/local/hundred...</td>\n",
       "      <td>46.722625</td>\n",
       "      <td>-120.406039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>Ypsilanti, MI</td>\n",
       "      <td>1200</td>\n",
       "      <td>1200</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>https://twitter.com/theplaidjunct/status/82298...</td>\n",
       "      <td>42.202139</td>\n",
       "      <td>-83.620494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>Yucca Valley, CA</td>\n",
       "      <td>50</td>\n",
       "      <td>75</td>\n",
       "      <td>62.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.185894</td>\n",
       "      <td>-116.432416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>Yuma, AZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.701461</td>\n",
       "      <td>-114.657232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>Zebulon, GA</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35.0</td>\n",
       "      <td>SPLCenter on twitter</td>\n",
       "      <td>35.879220</td>\n",
       "      <td>-78.355582</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>541 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                location crowd-low-estimate crowd-high-estimate  \\\n",
       "0            Abilene, TX                200                 200   \n",
       "1           Accident, MD                 54                  54   \n",
       "2               Adak, AK                 10                  10   \n",
       "3             Adrian, MI                130                 150   \n",
       "4                Ajo, AZ                250                 250   \n",
       "5            Alameda, CA                  8                   8   \n",
       "6            Alamosa, CO                350                 350   \n",
       "7             Albany, CA                500                 500   \n",
       "8             Albany, NY              7,000               9,000   \n",
       "9         Alexandria, VA                 17                  17   \n",
       "10       Albuquerque, NM              3,000              20,000   \n",
       "11      Almanor West, CA                  4                   4   \n",
       "12            Alpine, TX                 96                  96   \n",
       "13          Amarillo, TX                600                 600   \n",
       "14     Amelia Island, FL                700               1,300   \n",
       "15         Anacortes, WA                NaN                 NaN   \n",
       "16         Anchorage, AK              2,000               3,000   \n",
       "17         Ann Arbor, MI             11,000              11,000   \n",
       "18         Annapolis, MD              1,600               1,600   \n",
       "19         Arlington, VA                NaN                 NaN   \n",
       "20       Asbury Park, NJ              6,000               6,000   \n",
       "21         Asheville, NC              7,000              10,000   \n",
       "22           Ashland, OR              6,000                8000   \n",
       "23             Aspen, CO              1,000                1000   \n",
       "24           Astoria, OR                100                1000   \n",
       "25            Athens, GA                700                5000   \n",
       "26           Atlanta, GA             60,000               63000   \n",
       "27           Augusta, GA                600                 600   \n",
       "28           Augusta, ME             10,000               10000   \n",
       "29            Austin, TX             30,000              50,000   \n",
       "..                   ...                ...                 ...   \n",
       "511        Watertown, NY                250                 250   \n",
       "512      Watsonville, CA                300                 500   \n",
       "513           Wausau, WI                200                 200   \n",
       "514          Welches, OR                NaN                 NaN   \n",
       "515        Wellfleet, MA                113                 113   \n",
       "516        Wenatchee, WA              2,000               2,000   \n",
       "517     West Chester, PA                150                 200   \n",
       "518   West Jefferson, NC                250                 300   \n",
       "519        West Lima, WI                  1                   1   \n",
       "520  West Palm Beach, FL              5,000                7000   \n",
       "521        Westfield, NJ              1,000               2,000   \n",
       "522          Wichita, KS               3000                3000   \n",
       "523    Wichita Falls, TX                150                 150   \n",
       "524     Williamsburg, VA                700                1000   \n",
       "525          Willits, CA                 50                  50   \n",
       "526       Wilmington, NC               3000                3000   \n",
       "527           Wilton, NH                100                 125   \n",
       "528       Winchester, VA                700                1200   \n",
       "529    Winston-Salem, NC                NaN                 NaN   \n",
       "530          Winters, CA                200                 200   \n",
       "531        Woodstock, NY               1000                1000   \n",
       "532        Woodstock, VA                400                 400   \n",
       "533          Wooster, OH                500                1000   \n",
       "534        Worcester, MA                NaN                 NaN   \n",
       "535          Wyckoff, NJ                300                 500   \n",
       "536           Yakima, WA               1000                1000   \n",
       "537        Ypsilanti, MI               1200                1200   \n",
       "538     Yucca Valley, CA                 50                  75   \n",
       "539             Yuma, AZ                NaN                 NaN   \n",
       "540          Zebulon, GA                 35                  35   \n",
       "\n",
       "     mean-high-low                                             source  \\\n",
       "0            200.0  http://www.reporternews.com/story/news/local/2...   \n",
       "1             54.0                          Twitter; on-site witness    \n",
       "2             10.0                                            adn.com   \n",
       "3            140.0   https://www.facebook.com/events/847360115406578/   \n",
       "4            250.0  https://www.facebook.com/plugins/post.php?href...   \n",
       "5              8.0                                                 FB   \n",
       "6            350.0  https://twitter.com/zepol/status/8232349739352...   \n",
       "7            500.0  https://twitter.com/ben_silverman/status/82303...   \n",
       "8           8000.0  http://www.timesunion.com/local/article/Albany...   \n",
       "9             17.0  https://twitter.com/TinaPStacy/status/82322604...   \n",
       "10         11500.0  http://www.koat.com/article/thousands-fill-civ...   \n",
       "11             4.0                                eyewitness; picture   \n",
       "12            96.0  https://twitter.com/sarahmvasquez/status/82318...   \n",
       "13           600.0  https://www.texastribune.org/2017/01/21/thousa...   \n",
       "14          1000.0  http://www.firstcoastnews.com/news/womens-marc...   \n",
       "15             NaN  http://www.goskagit.com/skagit/hundreds-partic...   \n",
       "16          2500.0  https://www.adn.com/alaska-news/2017/01/21/lar...   \n",
       "17         11000.0  http://www.mlive.com/news/ann-arbor/index.ssf/...   \n",
       "18          1600.0  http://www.capitalgazette.com/news/annapolis/p...   \n",
       "19             NaN                                                NaN   \n",
       "20          6000.0  https://twitter.com/JuliaJHobbs/status/8229551...   \n",
       "21          8500.0  http://wlos.com/news/local/photo-gallery-the-w...   \n",
       "22          7000.0  http://www.mailtribune.com/news/20170121/voice...   \n",
       "23          1000.0  https://twitter.com/SarahGoTrillIum/status/823...   \n",
       "24           550.0  http://www.dailyastorian.com/Local_News/201701...   \n",
       "25          2850.0  http://onlineathens.com/slideshow/2017-01-21/p...   \n",
       "26         61500.0  http://www.ajc.com/news/state--regional-govt--...   \n",
       "27           600.0  http://chronicle.augusta.com/news/2017-01-21/h...   \n",
       "28         10000.0  http://bangordailynews.com/2017/01/21/news/sta...   \n",
       "29         40000.0  http://kut.org/post/tens-thousands-participate...   \n",
       "..             ...                                                ...   \n",
       "511          250.0  http://www.watertowndailytimes.com/news03/wate...   \n",
       "512          400.0                                         eyewitness   \n",
       "513          200.0                                                 FB   \n",
       "514            NaN                                                NaN   \n",
       "515          113.0                                     via email (JP)   \n",
       "516         2000.0  http://www.wenatcheeworld.com/news/2017/jan/21...   \n",
       "517          175.0  https://wcborodems.org/2017/01/21/in-solidarit...   \n",
       "518          275.0  https://twitter.com/wineymomof2/status/8229288...   \n",
       "519            1.0                                            Twitter   \n",
       "520         6000.0  http://www.palmbeachpost.com/news/local/thousa...   \n",
       "521         1500.0  https://www.tapinto.net/towns/westfield/articl...   \n",
       "522         3000.0  http://www.kansas.com/news/local/article127951...   \n",
       "523          150.0  http://www.timesrecordnews.com/story/news/loca...   \n",
       "524          850.0  http://wydaily.com/2017/01/21/womens-march-in-...   \n",
       "525           50.0                                                 FB   \n",
       "526         3000.0  http://www.twcnews.com/nc/coastal/news/2017/01...   \n",
       "527          112.5  onsite eyewitness who did headcount (via googl...   \n",
       "528          950.0   onsite eyewitness & local news (via google form)   \n",
       "529            NaN                                                NaN   \n",
       "530          200.0                                                 FB   \n",
       "531         1000.0                                                 FB   \n",
       "532          400.0  http://www.nvdaily.com/uncategorized/2017/01/w...   \n",
       "533          750.0  http://www.the-daily-record.com/local%20news/2...   \n",
       "534            NaN  http://www.telegram.com/news/20170121/central-...   \n",
       "535          400.0  http://www.northjersey.com/story/news/local/20...   \n",
       "536         1000.0  http://www.yakimaherald.com/news/local/hundred...   \n",
       "537         1200.0  https://twitter.com/theplaidjunct/status/82298...   \n",
       "538           62.5                                                NaN   \n",
       "539            NaN                                                NaN   \n",
       "540           35.0                              SPLCenter on twitter    \n",
       "\n",
       "      Latitude   Longitude  \n",
       "0    32.576489  -99.665323  \n",
       "1    39.628700  -79.319760  \n",
       "2     0.000000    0.000000  \n",
       "3    41.889943  -84.065892  \n",
       "4    32.384890 -112.890110  \n",
       "5    37.770563 -122.264779  \n",
       "6    37.479933 -105.790967  \n",
       "7    42.614852  -73.970812  \n",
       "8    42.614852  -73.970812  \n",
       "9    38.819853  -77.059645  \n",
       "10   35.199592 -106.644831  \n",
       "11   44.984663  -93.542233  \n",
       "12   32.810624 -116.710667  \n",
       "13   35.206030 -101.839602  \n",
       "14   42.271790  -88.188464  \n",
       "15   48.499172 -122.607111  \n",
       "16   61.220018 -149.855702  \n",
       "17   42.266638  -83.849042  \n",
       "18   38.987750  -76.552800  \n",
       "19   32.635563  -97.148829  \n",
       "20   40.250725  -74.048582  \n",
       "21   35.602711  -82.567281  \n",
       "22   38.473824  -82.647933  \n",
       "23   39.169324 -106.776744  \n",
       "24   46.142206 -123.795996  \n",
       "25   40.605382  -73.755133  \n",
       "26   33.844371  -84.474050  \n",
       "27   44.351642  -69.803773  \n",
       "28   44.351642  -69.803773  \n",
       "29   30.326374  -97.771258  \n",
       "..         ...         ...  \n",
       "511  43.968892  -75.906501  \n",
       "512  36.980250 -121.746960  \n",
       "513  44.963304  -89.704051  \n",
       "514  45.327305 -121.973561  \n",
       "515  40.762172 -100.760429  \n",
       "516  47.573816 -120.351884  \n",
       "517  39.980107  -75.610503  \n",
       "518  39.948860  -83.309892  \n",
       "519  42.078130  -76.845236  \n",
       "520  40.224597 -111.669615  \n",
       "521  40.691613 -112.001050  \n",
       "522  37.651974  -97.258997  \n",
       "523  33.905544  -98.479881  \n",
       "524  37.310451  -76.746769  \n",
       "525  39.525958 -123.365730  \n",
       "526  34.271985  -77.963628  \n",
       "527  43.073715  -73.740236  \n",
       "528  36.131662 -115.168382  \n",
       "529  36.111102  -80.200493  \n",
       "530  28.686894  -81.273258  \n",
       "531  42.320271  -88.462832  \n",
       "532  42.320271  -88.462832  \n",
       "533  40.830699  -81.895377  \n",
       "534  42.265275  -71.879415  \n",
       "535  45.341881 -117.872662  \n",
       "536  46.722625 -120.406039  \n",
       "537  42.202139  -83.620494  \n",
       "538  34.185894 -116.432416  \n",
       "539  32.701461 -114.657232  \n",
       "540  35.879220  -78.355582  \n",
       "\n",
       "[541 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb5c7898>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fDdwO3FluD71/XsttR3TbbfeMtsmobr75rtYxJjJujdhz5szu2f71KvZ0i9vL2NMtbi9j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\nLfDBocOip6CDyC66E4C/0ptBH9UMDA7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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb5c7080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Top 15 locations by mean crowd estimate'\n",
    "(df.sort_values('mean-high-low', ascending=False)\n",
    "   .head(15)\n",
    "   .set_index('location')[['mean-high-low']]\n",
    "   .plot(kind='bar', title=title, legend=False)\n",
    " )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create State Column\n",
    "using last 2 characters of location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df['State'] = df['location'].str[-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CA</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WA</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NY</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OR</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AK</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       location\n",
       "State          \n",
       "CA           69\n",
       "WA           27\n",
       "NY           25\n",
       "OR           24\n",
       "AK           22"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('State').count().sort_values('location', ascending=False)[['location']].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks Like there are a few errors in State that would need cleansed (at least 12)\n",
    "\n",
    "15 minutes is not enough to fix this by hand, I know there is a package that would do this faster that has been mentioned on talk python to me.  Ill have to look into this package another day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df.groupby('State').count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>State</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DE</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OK</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LA</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DC</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RI</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ah</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>er</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ge</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>le</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>na</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nd</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>on</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>t)</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>te</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       location\n",
       "State          \n",
       "DE            2\n",
       "OK            2\n",
       "LA            2\n",
       "DC            1\n",
       "RI            1\n",
       "ah            1\n",
       "er            1\n",
       "es            1\n",
       "ge            1\n",
       "le            1\n",
       "na            1\n",
       "nd            1\n",
       "on            1\n",
       "t)            1\n",
       "te            1"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('State').count().sort_values('location', ascending=False)[['location']].tail(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Show top and bottom 15 states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xba487b8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wYG0zK8Ww8EvAo+6+X9zI2RbY1czuzVrY3XsThiaXic/Txcx2iz8olsW/zGyv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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb8c7ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Top 15 States by mean crowd estimate'\n",
    "(df.groupby('State').sum()\n",
    "   .sort_values('mean-high-low', ascending=False)\n",
    "   .head(15)\n",
    "   [['mean-high-low']]\n",
    "   .plot(kind='bar', title=title)\n",
    " )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xcb73f98>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t7QvZ23ZL+1xbW1sZ+zmztra2Q8O2UmTdzrW1tY/U1taeV5uhBP3NuV3V1tY+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\ni4iknIJeRCTlFPQiIimnoBcRSbn/B51QiV4YGEOgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xcb36f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Bottom 15 States by mean crowd estimate'\n",
    "(df.groupby('State').sum()\n",
    "   .sort_values('mean-high-low', ascending=True)\n",
    "   .head(15)\n",
    "   [['mean-high-low']]\n",
    "   .plot(kind='bar', title=title)\n",
    " )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x85265c0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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zz4yiY8dtueeeO+nVqzfduu3J008/xZgxozPnWinGUUcdy1FHHZsdud7ldeiwNY899gjL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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb7bb978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Bottom 15 States by mean crowd estimate'\n",
    "(df.sort_values('mean-high-low', ascending=True)\n",
    "   .head(15)\n",
    "   .set_index('State')[['mean-high-low']]\n",
    "   .plot(kind='bar', title=title)\n",
    " )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is my first 15 minute data explore, and 15 minutes flys by very quickly.  I was able to gain a bit of an understanding of the dataset, but not able to do much analysis at this point."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}