notebooks/analyses/RiskFactorsByStateCounty.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore Risk Factors for COVID-19 for Counties in US States\n",
    "[Work in progress]\n",
    "\n",
    "This notebook explores the relationsship between risk factors selected from the American Community Survey 2018 5-year estimates on COVID-19 confirmed case and death rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "from matplotlib.dates import DateFormatter\n",
    "from py2neo import Graph\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_rows = None  # display all rows\n",
    "pd.options.display.max_columns = None  # display all columsns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Connect to COVID-19-Net Knowledge Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "graph = Graph(\"bolt://132.249.238.185:7687\", user=\"reader\", password=\"demo\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Setup dropdown menus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "// get list of states in the US\n",
    "MATCH (a:Admin1)-[:IN]->(Country{name: 'United States'})\n",
    "RETURN a.name as state\n",
    "ORDER BY state\n",
    "\"\"\"\n",
    "states = graph.run(query).to_data_frame()['state'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_widget = widgets.Dropdown(options=states, description='Select state:', value='California')\n",
    "metric_widget = widgets.Dropdown(options=('confirmedRate', 'deathRate'), description='Select metric')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Query KG to get Confirmed Cases, Deaths, and Population for Counties in a State"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5f0efda4b38146b8a364e7a94b706cd1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Select state:', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansas', 'Californi…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(state_widget)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "db326f06f8a34442b444b88d5e062c65",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Dropdown(description='Select metric', options=('confirmedRate', 'deathRate'), value='confirmedRate')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(metric_widget)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "State : California\n",
      "Metric: confirmedRate\n"
     ]
    }
   ],
   "source": [
    "state = state_widget.value\n",
    "metric = metric_widget.value\n",
    "print('State :', state)\n",
    "print('Metric:', metric)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# start date for time series\n",
    "start_date = '2020-04-01'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get confirmed cases and deaths for all counties in a state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "// get all counties (admin2) in a state (admin1)\n",
    "MATCH (a:Admin2)-[:IN]->(:Admin1{name: $admin1})\n",
    "\n",
    "// get COVID-19 cases for all counties\n",
    "MATCH (a)<-[:REPORTED_IN]-(c:Cases{source: 'JHU'}) \n",
    "WHERE c.date >= date($start_date)\n",
    "\n",
    "// get demographics for all counties\n",
    "MATCH (a)-[:HAS_DEMOGRAPHICS]->(d:Demographics) \n",
    "\n",
    "RETURN a.name AS name, c.date AS date, \n",
    "       c.cases*100000.0/d.totalPopulation AS confirmedRate, \n",
    "       c.deaths*100000.0/d.totalPopulation AS deathRate\n",
    "ORDER BY c.date ASC, a.name\n",
    "\"\"\"\n",
    "df = graph.run(query, admin1=state, start_date=start_date).to_data_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reformat data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>name</th>\n",
       "      <th>Alameda County</th>\n",
       "      <th>Alpine County</th>\n",
       "      <th>Amador County</th>\n",
       "      <th>Butte County</th>\n",
       "      <th>Calaveras County</th>\n",
       "      <th>Colusa County</th>\n",
       "      <th>Contra Costa County</th>\n",
       "      <th>Del Norte County</th>\n",
       "      <th>El Dorado County</th>\n",
       "      <th>Fresno County</th>\n",
       "      <th>Glenn County</th>\n",
       "      <th>Humboldt County</th>\n",
       "      <th>Imperial County</th>\n",
       "      <th>Inyo County</th>\n",
       "      <th>Kern County</th>\n",
       "      <th>Kings County</th>\n",
       "      <th>Lake County</th>\n",
       "      <th>Lassen County</th>\n",
       "      <th>Los Angeles County</th>\n",
       "      <th>Madera County</th>\n",
       "      <th>Marin County</th>\n",
       "      <th>Mariposa County</th>\n",
       "      <th>Mendocino County</th>\n",
       "      <th>Merced County</th>\n",
       "      <th>Modoc County</th>\n",
       "      <th>Mono County</th>\n",
       "      <th>Monterey County</th>\n",
       "      <th>Napa County</th>\n",
       "      <th>Nevada County</th>\n",
       "      <th>Orange County</th>\n",
       "      <th>Placer County</th>\n",
       "      <th>Plumas County</th>\n",
       "      <th>Riverside County</th>\n",
       "      <th>Sacramento County</th>\n",
       "      <th>San Benito County</th>\n",
       "      <th>San Bernardino County</th>\n",
       "      <th>San Diego County</th>\n",
       "      <th>San Francisco</th>\n",
       "      <th>San Joaquin County</th>\n",
       "      <th>San Luis Obispo County</th>\n",
       "      <th>San Mateo County</th>\n",
       "      <th>Santa Barbara County</th>\n",
       "      <th>Santa Clara County</th>\n",
       "      <th>Santa Cruz County</th>\n",
       "      <th>Shasta County</th>\n",
       "      <th>Sierra County</th>\n",
       "      <th>Siskiyou County</th>\n",
       "      <th>Solano County</th>\n",
       "      <th>Sonoma County</th>\n",
       "      <th>Stanislaus County</th>\n",
       "      <th>Sutter County</th>\n",
       "      <th>Tehama County</th>\n",
       "      <th>Trinity County</th>\n",
       "      <th>Tulare County</th>\n",
       "      <th>Tuolumne County</th>\n",
       "      <th>Ventura County</th>\n",
       "      <th>Yolo County</th>\n",
       "      <th>Yuba County</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>19.042404</td>\n",
       "      <td>87.260035</td>\n",
       "      <td>5.286949</td>\n",
       "      <td>3.523065</td>\n",
       "      <td>6.632033</td>\n",
       "      <td>4.658964</td>\n",
       "      <td>21.972262</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.643150</td>\n",
       "      <td>6.952041</td>\n",
       "      <td>7.16923</td>\n",
       "      <td>19.886866</td>\n",
       "      <td>21.085808</td>\n",
       "      <td>49.764999</td>\n",
       "      <td>12.456783</td>\n",
       "      <td>2.665334</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.838402</td>\n",
       "      <td>14.837465</td>\n",
       "      <td>41.107205</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.575507</td>\n",
       "      <td>3.716436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.717229</td>\n",
       "      <td>9.695022</td>\n",
       "      <td>10.673877</td>\n",
       "      <td>26.238243</td>\n",
       "      <td>19.151869</td>\n",
       "      <td>20.522157</td>\n",
       "      <td>5.347880</td>\n",
       "      <td>15.566743</td>\n",
       "      <td>14.834211</td>\n",
       "      <td>35.344015</td>\n",
       "      <td>8.569771</td>\n",
       "      <td>22.193069</td>\n",
       "      <td>49.882535</td>\n",
       "      <td>20.622443</td>\n",
       "      <td>28.423727</td>\n",
       "      <td>50.657040</td>\n",
       "      <td>22.310462</td>\n",
       "      <td>49.734679</td>\n",
       "      <td>17.898563</td>\n",
       "      <td>3.908758</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.890216</td>\n",
       "      <td>11.173694</td>\n",
       "      <td>15.559018</td>\n",
       "      <td>7.231583</td>\n",
       "      <td>10.430574</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.772475</td>\n",
       "      <td>3.708374</td>\n",
       "      <td>18.865433</td>\n",
       "      <td>11.629151</td>\n",
       "      <td>9.272383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-02</th>\n",
       "      <td>21.840969</td>\n",
       "      <td>87.260035</td>\n",
       "      <td>7.930424</td>\n",
       "      <td>3.963448</td>\n",
       "      <td>6.632033</td>\n",
       "      <td>4.658964</td>\n",
       "      <td>22.060504</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.643150</td>\n",
       "      <td>8.383344</td>\n",
       "      <td>7.16923</td>\n",
       "      <td>20.623416</td>\n",
       "      <td>23.860257</td>\n",
       "      <td>49.764999</td>\n",
       "      <td>16.080575</td>\n",
       "      <td>3.331667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.057231</td>\n",
       "      <td>16.127680</td>\n",
       "      <td>41.491385</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.575507</td>\n",
       "      <td>4.459723</td>\n",
       "      <td>0.0</td>\n",
       "      <td>126.993086</td>\n",
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       "      <td>51.721522</td>\n",
       "      <td>23.627037</td>\n",
       "      <td>31.621396</td>\n",
       "      <td>59.143400</td>\n",
       "      <td>25.014761</td>\n",
       "      <td>53.012174</td>\n",
       "      <td>19.724947</td>\n",
       "      <td>3.908758</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.890216</td>\n",
       "      <td>12.313867</td>\n",
       "      <td>18.152187</td>\n",
       "      <td>8.158709</td>\n",
       "      <td>14.602804</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.070292</td>\n",
       "      <td>3.708374</td>\n",
       "      <td>20.869885</td>\n",
       "      <td>13.024649</td>\n",
       "      <td>10.597009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-03</th>\n",
       "      <td>26.951390</td>\n",
       "      <td>87.260035</td>\n",
       "      <td>7.930424</td>\n",
       "      <td>4.403831</td>\n",
       "      <td>6.632033</td>\n",
       "      <td>4.658964</td>\n",
       "      <td>27.090299</td>\n",
       "      <td>3.646441</td>\n",
       "      <td>10.178880</td>\n",
       "      <td>9.610175</td>\n",
       "      <td>7.16923</td>\n",
       "      <td>27.252372</td>\n",
       "      <td>28.854264</td>\n",
       "      <td>55.294443</td>\n",
       "      <td>19.591123</td>\n",
       "      <td>3.331667</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>45.216642</td>\n",
       "      <td>18.063001</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>4.575507</td>\n",
       "      <td>5.946298</td>\n",
       "      <td>0.0</td>\n",
       "      <td>126.993086</td>\n",
       "      <td>12.234195</td>\n",
       "      <td>12.808653</td>\n",
       "      <td>30.274896</td>\n",
       "      <td>22.470262</td>\n",
       "      <td>25.521144</td>\n",
       "      <td>5.347880</td>\n",
       "      <td>20.685726</td>\n",
       "      <td>25.827421</td>\n",
       "      <td>38.710112</td>\n",
       "      <td>14.236122</td>\n",
       "      <td>29.247619</td>\n",
       "      <td>57.123548</td>\n",
       "      <td>24.583044</td>\n",
       "      <td>33.042582</td>\n",
       "      <td>63.451859</td>\n",
       "      <td>31.324791</td>\n",
       "      <td>53.012174</td>\n",
       "      <td>20.820777</td>\n",
       "      <td>6.142335</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.890216</td>\n",
       "      <td>13.910109</td>\n",
       "      <td>18.950085</td>\n",
       "      <td>9.456686</td>\n",
       "      <td>14.602804</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.590455</td>\n",
       "      <td>3.708374</td>\n",
       "      <td>22.284793</td>\n",
       "      <td>15.350479</td>\n",
       "      <td>10.597009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-04</th>\n",
       "      <td>26.951390</td>\n",
       "      <td>87.260035</td>\n",
       "      <td>7.930424</td>\n",
       "      <td>4.844214</td>\n",
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       "      <td>9.317928</td>\n",
       "      <td>27.090299</td>\n",
       "      <td>7.292882</td>\n",
       "      <td>11.786072</td>\n",
       "      <td>10.223590</td>\n",
       "      <td>7.16923</td>\n",
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       "      <td>30.518933</td>\n",
       "      <td>55.294443</td>\n",
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       "      <td>3.331667</td>\n",
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       "      <td>45.602855</td>\n",
       "      <td>18.063001</td>\n",
       "      <td>50.327513</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.575507</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>134.048257</td>\n",
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       "      <td>24.840543</td>\n",
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       "      <td>16.688919</td>\n",
       "      <td>1.577959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.590455</td>\n",
       "      <td>3.708374</td>\n",
       "      <td>23.935518</td>\n",
       "      <td>17.211144</td>\n",
       "      <td>11.921635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-05</th>\n",
       "      <td>34.434508</td>\n",
       "      <td>87.260035</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.844214</td>\n",
       "      <td>8.842710</td>\n",
       "      <td>9.317928</td>\n",
       "      <td>34.061418</td>\n",
       "      <td>7.292882</td>\n",
       "      <td>11.786072</td>\n",
       "      <td>10.530298</td>\n",
       "      <td>7.16923</td>\n",
       "      <td>32.408226</td>\n",
       "      <td>31.628712</td>\n",
       "      <td>60.823887</td>\n",
       "      <td>26.046002</td>\n",
       "      <td>3.331667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>58.971770</td>\n",
       "      <td>18.063001</td>\n",
       "      <td>52.632590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.575507</td>\n",
       "      <td>10.034377</td>\n",
       "      <td>0.0</td>\n",
       "      <td>134.048257</td>\n",
       "      <td>14.311700</td>\n",
       "      <td>14.231837</td>\n",
       "      <td>31.284059</td>\n",
       "      <td>26.357523</td>\n",
       "      <td>27.099772</td>\n",
       "      <td>16.043639</td>\n",
       "      <td>33.525141</td>\n",
       "      <td>29.271077</td>\n",
       "      <td>38.710112</td>\n",
       "      <td>17.420518</td>\n",
       "      <td>36.604939</td>\n",
       "      <td>65.284055</td>\n",
       "      <td>26.085341</td>\n",
       "      <td>33.753175</td>\n",
       "      <td>72.460457</td>\n",
       "      <td>37.860179</td>\n",
       "      <td>62.792633</td>\n",
       "      <td>25.204098</td>\n",
       "      <td>9.492699</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.890216</td>\n",
       "      <td>16.646524</td>\n",
       "      <td>21.343780</td>\n",
       "      <td>12.052639</td>\n",
       "      <td>16.688919</td>\n",
       "      <td>1.577959</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.191269</td>\n",
       "      <td>3.708374</td>\n",
       "      <td>26.057879</td>\n",
       "      <td>17.211144</td>\n",
       "      <td>11.921635</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "name        Alameda County  Alpine County  Amador County  Butte County  \\\n",
       "date                                                                     \n",
       "2020-04-01       19.042404      87.260035       5.286949      3.523065   \n",
       "2020-04-02       21.840969      87.260035       7.930424      3.963448   \n",
       "2020-04-03       26.951390      87.260035       7.930424      4.403831   \n",
       "2020-04-04       26.951390      87.260035       7.930424      4.844214   \n",
       "2020-04-05       34.434508      87.260035       0.000000      4.844214   \n",
       "\n",
       "name        Calaveras County  Colusa County  Contra Costa County  \\\n",
       "date                                                               \n",
       "2020-04-01          6.632033       4.658964            21.972262   \n",
       "2020-04-02          6.632033       4.658964            22.060504   \n",
       "2020-04-03          6.632033       4.658964            27.090299   \n",
       "2020-04-04          8.842710       9.317928            27.090299   \n",
       "2020-04-05          8.842710       9.317928            34.061418   \n",
       "\n",
       "name        Del Norte County  El Dorado County  Fresno County  Glenn County  \\\n",
       "date                                                                          \n",
       "2020-04-01          0.000000          9.643150       6.952041       7.16923   \n",
       "2020-04-02          0.000000          9.643150       8.383344       7.16923   \n",
       "2020-04-03          3.646441         10.178880       9.610175       7.16923   \n",
       "2020-04-04          7.292882         11.786072      10.223590       7.16923   \n",
       "2020-04-05          7.292882         11.786072      10.530298       7.16923   \n",
       "\n",
       "name        Humboldt County  Imperial County  Inyo County  Kern County  \\\n",
       "date                                                                     \n",
       "2020-04-01        19.886866        21.085808    49.764999    12.456783   \n",
       "2020-04-02        20.623416        23.860257    49.764999    16.080575   \n",
       "2020-04-03        27.252372        28.854264    55.294443    19.591123   \n",
       "2020-04-04        32.408226        30.518933    55.294443    23.781132   \n",
       "2020-04-05        32.408226        31.628712    60.823887    26.046002   \n",
       "\n",
       "name        Kings County  Lake County  Lassen County  Los Angeles County  \\\n",
       "date                                                                       \n",
       "2020-04-01      2.665334          0.0            0.0           34.838402   \n",
       "2020-04-02      3.331667          0.0            0.0           40.057231   \n",
       "2020-04-03      3.331667          0.0            0.0           45.216642   \n",
       "2020-04-04      3.331667          0.0            0.0           45.602855   \n",
       "2020-04-05      3.331667          0.0            0.0           58.971770   \n",
       "\n",
       "name        Madera County  Marin County  Mariposa County  Mendocino County  \\\n",
       "date                                                                         \n",
       "2020-04-01      14.837465     41.107205              0.0          4.575507   \n",
       "2020-04-02      16.127680     41.491385              0.0          4.575507   \n",
       "2020-04-03      18.063001     45.333180              0.0          4.575507   \n",
       "2020-04-04      18.063001     50.327513              0.0          4.575507   \n",
       "2020-04-05      18.063001     52.632590              0.0          4.575507   \n",
       "\n",
       "name        Merced County  Modoc County  Mono County  Monterey County  \\\n",
       "date                                                                    \n",
       "2020-04-01       3.716436           0.0    91.717229         9.695022   \n",
       "2020-04-02       4.459723           0.0   126.993086        11.080025   \n",
       "2020-04-03       5.946298           0.0   126.993086        12.234195   \n",
       "2020-04-04       5.946298           0.0   134.048257        13.157530   \n",
       "2020-04-05      10.034377           0.0   134.048257        14.311700   \n",
       "\n",
       "name        Napa County  Nevada County  Orange County  Placer County  \\\n",
       "date                                                                   \n",
       "2020-04-01    10.673877      26.238243      19.151869      20.522157   \n",
       "2020-04-02    12.808653      26.238243      20.732056      23.679412   \n",
       "2020-04-03    12.808653      30.274896      22.470262      25.521144   \n",
       "2020-04-04    14.231837      31.284059      24.840543      25.521144   \n",
       "2020-04-05    14.231837      31.284059      26.357523      27.099772   \n",
       "\n",
       "name        Plumas County  Riverside County  Sacramento County  \\\n",
       "date                                                             \n",
       "2020-04-01       5.347880         15.566743          14.834211   \n",
       "2020-04-02       5.347880         20.685726          20.794385   \n",
       "2020-04-03       5.347880         20.685726          25.827421   \n",
       "2020-04-04      10.695759         26.769762          25.827421   \n",
       "2020-04-05      16.043639         33.525141          29.271077   \n",
       "\n",
       "name        San Benito County  San Bernardino County  San Diego County  \\\n",
       "date                                                                     \n",
       "2020-04-01          35.344015               8.569771         22.193069   \n",
       "2020-04-02          38.710112              11.894655         25.705205   \n",
       "2020-04-03          38.710112              14.236122         29.247619   \n",
       "2020-04-04          38.710112              16.530760         33.668066   \n",
       "2020-04-05          38.710112              17.420518         36.604939   \n",
       "\n",
       "name        San Francisco  San Joaquin County  San Luis Obispo County  \\\n",
       "date                                                                    \n",
       "2020-04-01      49.882535           20.622443               28.423727   \n",
       "2020-04-02      51.721522           23.627037               31.621396   \n",
       "2020-04-03      57.123548           24.583044               33.042582   \n",
       "2020-04-04      60.801523           25.265907               33.042582   \n",
       "2020-04-05      65.284055           26.085341               33.753175   \n",
       "\n",
       "name        San Mateo County  Santa Barbara County  Santa Clara County  \\\n",
       "date                                                                     \n",
       "2020-04-01         50.657040             22.310462           49.734679   \n",
       "2020-04-02         59.143400             25.014761           53.012174   \n",
       "2020-04-03         63.451859             31.324791           53.012174   \n",
       "2020-04-04         70.240947             34.254447           59.723234   \n",
       "2020-04-05         72.460457             37.860179           62.792633   \n",
       "\n",
       "name        Santa Cruz County  Shasta County  Sierra County  Siskiyou County  \\\n",
       "date                                                                           \n",
       "2020-04-01          17.898563       3.908758            0.0         6.890216   \n",
       "2020-04-02          19.724947       3.908758            0.0         6.890216   \n",
       "2020-04-03          20.820777       6.142335            0.0         6.890216   \n",
       "2020-04-04          21.551331       6.700729            0.0         6.890216   \n",
       "2020-04-05          25.204098       9.492699            0.0         6.890216   \n",
       "\n",
       "name        Solano County  Sonoma County  Stanislaus County  Sutter County  \\\n",
       "date                                                                         \n",
       "2020-04-01      11.173694      15.559018           7.231583      10.430574   \n",
       "2020-04-02      12.313867      18.152187           8.158709      14.602804   \n",
       "2020-04-03      13.910109      18.950085           9.456686      14.602804   \n",
       "2020-04-04      16.646524      20.944831          10.754662      16.688919   \n",
       "2020-04-05      16.646524      21.343780          12.052639      16.688919   \n",
       "\n",
       "name        Tehama County  Trinity County  Tulare County  Tuolumne County  \\\n",
       "date                                                                        \n",
       "2020-04-01       0.000000             0.0       9.772475         3.708374   \n",
       "2020-04-02       0.000000             0.0      16.070292         3.708374   \n",
       "2020-04-03       0.000000             0.0      17.590455         3.708374   \n",
       "2020-04-04       1.577959             0.0      17.590455         3.708374   \n",
       "2020-04-05       1.577959             0.0      25.191269         3.708374   \n",
       "\n",
       "name        Ventura County  Yolo County  Yuba County  \n",
       "date                                                  \n",
       "2020-04-01       18.865433    11.629151     9.272383  \n",
       "2020-04-02       20.869885    13.024649    10.597009  \n",
       "2020-04-03       22.284793    15.350479    10.597009  \n",
       "2020-04-04       23.935518    17.211144    11.921635  \n",
       "2020-04-05       26.057879    17.211144    11.921635  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert neo4j date object to datetime\n",
    "df['date'] = df['date'].astype(str)\n",
    "df['date'] = pd.to_datetime(df['date'], infer_datetime_format=False)  \n",
    "# pivot table\n",
    "df_date = df.pivot(index='date', columns='name', values=metric)\n",
    "df_date.fillna(0, inplace=True)\n",
    "df_date.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get Risk Factors for Counties\n",
    "\n",
    "* Low income (< $15,000)\n",
    "* No health insurance\n",
    "* Service occupation\n",
    "* Low education level (no high school diploma)\n",
    "* No broadband internet access\n",
    "* High occupancy housing (> 1 occupant per room)\n",
    "* Average household size (high)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>hispanicOrLatinoPct</th>\n",
       "      <th>minorityPct</th>\n",
       "      <th>lowIncomePct</th>\n",
       "      <th>noHealthInsurancePct</th>\n",
       "      <th>serviceOccupationPct</th>\n",
       "      <th>lowEducationPct</th>\n",
       "      <th>noInternetPct</th>\n",
       "      <th>highOccupanyHousingPct</th>\n",
       "      <th>averageHouseholdSize</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alameda County</td>\n",
       "      <td>22</td>\n",
       "      <td>12.265924</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>15.8</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.7</td>\n",
       "      <td>2.81325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alpine County</td>\n",
       "      <td>9</td>\n",
       "      <td>28.621291</td>\n",
       "      <td>10.4</td>\n",
       "      <td>10.3</td>\n",
       "      <td>21.6</td>\n",
       "      <td>11.1</td>\n",
       "      <td>15.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.71474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amador County</td>\n",
       "      <td>13</td>\n",
       "      <td>3.087578</td>\n",
       "      <td>8.1</td>\n",
       "      <td>4.2</td>\n",
       "      <td>23.0</td>\n",
       "      <td>9.7</td>\n",
       "      <td>18.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.42298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Butte County</td>\n",
       "      <td>16</td>\n",
       "      <td>2.989761</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>21.7</td>\n",
       "      <td>10.7</td>\n",
       "      <td>16.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.54528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Calaveras County</td>\n",
       "      <td>11</td>\n",
       "      <td>2.033823</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>19.6</td>\n",
       "      <td>9.6</td>\n",
       "      <td>22.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.56582</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               name  hispanicOrLatinoPct  minorityPct  lowIncomePct  \\\n",
       "0    Alameda County                   22    12.265924           8.0   \n",
       "1     Alpine County                    9    28.621291          10.4   \n",
       "2     Amador County                   13     3.087578           8.1   \n",
       "3      Butte County                   16     2.989761          15.0   \n",
       "4  Calaveras County                   11     2.033823           8.8   \n",
       "\n",
       "   noHealthInsurancePct  serviceOccupationPct  lowEducationPct  noInternetPct  \\\n",
       "0                   5.1                  15.8             12.0           12.5   \n",
       "1                  10.3                  21.6             11.1           15.1   \n",
       "2                   4.2                  23.0              9.7           18.6   \n",
       "3                   7.4                  21.7             10.7           16.8   \n",
       "4                   5.2                  19.6              9.6           22.1   \n",
       "\n",
       "   highOccupanyHousingPct  averageHouseholdSize  \n",
       "0                     7.7               2.81325  \n",
       "1                     2.3               3.71474  \n",
       "2                     2.8               2.42298  \n",
       "3                     3.2               2.54528  \n",
       "4                     2.0               2.56582  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = \"\"\"\n",
    "// get counties in state\n",
    "MATCH (a:Admin2)-[:IN]-(:Admin1{name: $admin1})\n",
    "\n",
    "// get population characteristics (American Community Survey 2018 5-year estimates)\n",
    "MATCH (a)-[:HAS_DEMOGRAPHICS]-(d:Demographics)\n",
    "MATCH (a)-[:HAS_ECONOMICS]-(:Economics)-[:HAS_INCOME]-(i:Income)\n",
    "MATCH (a)-[:HAS_ECONOMICS]-(:Economics)-[:HAS_HEALTH_INSURANCE]-(hi:HealthInsurance)\n",
    "MATCH (a)-[:HAS_ECONOMICS]-(:Economics)-[:HAS_OCCUPATION]-(o:Occupation)\n",
    "MATCH (a)-[:HAS_SOCIAL_CHARACTERISTICS]-(s:SocialCharacteristics)-[:HAS_EDUCATION]-(e:Education)\n",
    "MATCH (a)-[:HAS_SOCIAL_CHARACTERISTICS]-(s:SocialCharacteristics)-[:HAS_COMPUTERS]-(c:Computers)\n",
    "MATCH (a)-[:HAS_HOUSING]-(h:Housing)\n",
    "\n",
    "// return risk factors\n",
    "RETURN a.name AS name, \n",
    "       d.hispanicOrLatino*100/d.totalPopulation AS hispanicOrLatinoPct,\n",
    "       (d.blackOrAfricanAmerican  + d.americanIndianAndAlaskaNative + d.nativeHawaiianAndOtherPacificIslander)*100.0/d.totalPopulation AS minorityPct,\n",
    "       (i.householdIncomeLessThan10000USDPct + i.householdIncome10000To14999USDPct) AS lowIncomePct,\n",
    "       hi.noHealthInsuranceCoveragePct AS noHealthInsurancePct,\n",
    "       o.serviceOccupationsPct AS serviceOccupationPct,\n",
    "       e.lessThan9thGradePct + e.grade9thTo12thNoDiplomaPct AS lowEducationPct,\n",
    "       (100.0 - c.withBroadbandInternetPct) AS noInternetPct,\n",
    "       (h.`occupantsPerRoom1.01to1.50Pct` + h.`occupantsPerRoom1.51orMorePct`) AS highOccupanyHousingPct,\n",
    "       (h.averageHouseholdSizeOfOwnerOccupiedUnit*h.ownerOccupiedHousingUnitsPct/100.0) +\n",
    "       (h.averageHouseholdSizeOfRenterOccupiedUnit*h.renterOccupiedHousingUnitsPct/100.0) AS averageHouseholdSize\n",
    "ORDER BY a.name\n",
    "\"\"\"\n",
    "risk_factors = graph.run(query, admin1=state).to_data_frame()\n",
    "risk_factors.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Summary statistics for risk factors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hispanicOrLatinoPct</th>\n",
       "      <th>minorityPct</th>\n",
       "      <th>lowIncomePct</th>\n",
       "      <th>noHealthInsurancePct</th>\n",
       "      <th>serviceOccupationPct</th>\n",
       "      <th>lowEducationPct</th>\n",
       "      <th>noInternetPct</th>\n",
       "      <th>highOccupanyHousingPct</th>\n",
       "      <th>averageHouseholdSize</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>58.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>29.827586</td>\n",
       "      <td>5.614849</td>\n",
       "      <td>10.722414</td>\n",
       "      <td>7.808621</td>\n",
       "      <td>20.553448</td>\n",
       "      <td>15.589655</td>\n",
       "      <td>18.650000</td>\n",
       "      <td>5.603448</td>\n",
       "      <td>2.782677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.043940</td>\n",
       "      <td>4.455492</td>\n",
       "      <td>3.486870</td>\n",
       "      <td>2.468914</td>\n",
       "      <td>3.683258</td>\n",
       "      <td>7.177076</td>\n",
       "      <td>5.971313</td>\n",
       "      <td>3.044982</td>\n",
       "      <td>0.400289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.058020</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>14.400000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>9.300000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>2.135500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>14.250000</td>\n",
       "      <td>3.013864</td>\n",
       "      <td>8.025000</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>18.150000</td>\n",
       "      <td>10.175000</td>\n",
       "      <td>13.650000</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.447130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>25.000000</td>\n",
       "      <td>4.025038</td>\n",
       "      <td>10.400000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>19.650000</td>\n",
       "      <td>13.350000</td>\n",
       "      <td>18.450000</td>\n",
       "      <td>5.200000</td>\n",
       "      <td>2.799740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>44.250000</td>\n",
       "      <td>6.468907</td>\n",
       "      <td>12.950000</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>21.700000</td>\n",
       "      <td>20.400000</td>\n",
       "      <td>22.775000</td>\n",
       "      <td>7.850000</td>\n",
       "      <td>3.067227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>83.000000</td>\n",
       "      <td>28.621291</td>\n",
       "      <td>18.700000</td>\n",
       "      <td>16.600000</td>\n",
       "      <td>31.600000</td>\n",
       "      <td>31.100000</td>\n",
       "      <td>33.100000</td>\n",
       "      <td>13.700000</td>\n",
       "      <td>3.870800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       hispanicOrLatinoPct  minorityPct  lowIncomePct  noHealthInsurancePct  \\\n",
       "count            58.000000    58.000000     58.000000             58.000000   \n",
       "mean             29.827586     5.614849     10.722414              7.808621   \n",
       "std              18.043940     4.455492      3.486870              2.468914   \n",
       "min               7.000000     1.058020      5.000000              3.500000   \n",
       "25%              14.250000     3.013864      8.025000              5.750000   \n",
       "50%              25.000000     4.025038     10.400000              7.500000   \n",
       "75%              44.250000     6.468907     12.950000              9.500000   \n",
       "max              83.000000    28.621291     18.700000             16.600000   \n",
       "\n",
       "       serviceOccupationPct  lowEducationPct  noInternetPct  \\\n",
       "count             58.000000        58.000000      58.000000   \n",
       "mean              20.553448        15.589655      18.650000   \n",
       "std                3.683258         7.177076       5.971313   \n",
       "min               14.400000         5.400000       9.300000   \n",
       "25%               18.150000        10.175000      13.650000   \n",
       "50%               19.650000        13.350000      18.450000   \n",
       "75%               21.700000        20.400000      22.775000   \n",
       "max               31.600000        31.100000      33.100000   \n",
       "\n",
       "       highOccupanyHousingPct  averageHouseholdSize  \n",
       "count               58.000000             58.000000  \n",
       "mean                 5.603448              2.782677  \n",
       "std                  3.044982              0.400289  \n",
       "min                  0.200000              2.135500  \n",
       "25%                  3.200000              2.447130  \n",
       "50%                  5.200000              2.799740  \n",
       "75%                  7.850000              3.067227  \n",
       "max                 13.700000              3.870800  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "risk_factors.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# keep a copy\n",
    "risk_features = risk_factors.copy()\n",
    "columns = risk_features.columns[1:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create color maps for risk factors (range: mean +/- 2 sigma, colors: blue-white-red)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_color_map(factor):\n",
    "    sigma = 2\n",
    "    risk_factors[factor+'_z'] = (risk_factors[factor] - risk_factors[factor].mean())/risk_factors[factor].std()/sigma\n",
    "    risk_factors[factor+'_z'] = risk_factors[factor+'_z'].clip(-1, 1)\n",
    "    risk_factors[factor+'_z'] = (risk_factors[factor+'_z'] + 1) * 50\n",
    "    colors = cm.coolwarm(np.linspace(0, 1, 101))\n",
    "    risk_factors[factor+'col'] = risk_factors[factor+'_z'].apply(lambda z: colors[int(round(z))])\n",
    "    return risk_factors[factor+'col'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_latinoOrHispanic = get_color_map('hispanicOrLatinoPct')\n",
    "col_minority = get_color_map('minorityPct')\n",
    "col_income = get_color_map('lowIncomePct')\n",
    "col_insurance = get_color_map('noHealthInsurancePct')\n",
    "col_service = get_color_map('serviceOccupationPct')\n",
    "col_education = get_color_map('lowEducationPct')\n",
    "col_nointernet = get_color_map('noInternetPct')\n",
    "col_occupancy = get_color_map('highOccupanyHousingPct')\n",
    "col_household_size = get_color_map('averageHouseholdSize')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Case rate for all counties color-coded by risk factor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Set color map for risk factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#col_map = col_latinoOrHispanic\n",
    "#col_map = col_minority\n",
    "#col_map = col_income\n",
    "#col_map = col_insurance\n",
    "#col_map = col_service\n",
    "col_map = col_education\n",
    "#col_map = col_nointernet\n",
    "#col_map = col_occupancy\n",
    "#col_map = col_household_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_date.plot(figsize=(16, 8), color=col_map, legend=False, title=f'{metric} for counties in {state} color-coded by risk factor');\n",
    "ax.set_xlabel('Date');\n",
    "ax.set_ylabel(f'{metric} per 100,000');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Case counts by county color-coded by risk factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dimensions for subplot layout\n",
    "cols = 5\n",
    "rows = math.ceil(df_date.shape[1]/cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1728 with 60 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_date.plot(subplots=True, layout=(rows,cols), sharey=True, figsize=(16, 2*rows), color=col_map);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check for Correlations at a specific day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "date = '2020-08-30'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = \"\"\"\n",
    "// get all counties (admin2) in a state (admin1)\n",
    "MATCH (a:Admin2)-[:IN]->(:Admin1{name: $admin1})\n",
    "\n",
    "// get COVID-19 cases for all counties\n",
    "MATCH (a)<-[:REPORTED_IN]-(c:Cases{source: 'JHU'}) \n",
    "WHERE c.date = date($date)\n",
    "\n",
    "// get demographics for all counties\n",
    "MATCH (a)-[:HAS_DEMOGRAPHICS]->(d:Demographics) \n",
    "\n",
    "RETURN a.name AS name,\n",
    "       c.cases*100000.0/d.totalPopulation AS confirmedRate, \n",
    "       c.deaths*100000.0/d.totalPopulation AS deathRate\n",
    "ORDER BY c.date ASC, a.name\n",
    "\"\"\"\n",
    "day_rate = graph.run(query, admin1=state, date=date).to_data_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>confirmedRate</th>\n",
       "      <th>deathRate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alameda County</td>\n",
       "      <td>1097.523879</td>\n",
       "      <td>15.696295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alpine County</td>\n",
       "      <td>174.520070</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Amador County</td>\n",
       "      <td>734.885934</td>\n",
       "      <td>37.008644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Butte County</td>\n",
       "      <td>857.866344</td>\n",
       "      <td>10.128812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Calaveras County</td>\n",
       "      <td>521.719907</td>\n",
       "      <td>4.421355</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               name  confirmedRate  deathRate\n",
       "0    Alameda County    1097.523879  15.696295\n",
       "1     Alpine County     174.520070   0.000000\n",
       "2     Amador County     734.885934  37.008644\n",
       "3      Butte County     857.866344  10.128812\n",
       "4  Calaveras County     521.719907   4.421355"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_rate.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "risk_corr = day_rate.merge(risk_features, left_on='name', right_on='name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = risk_corr.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col5{\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col6,#T_1796fc80_1974_11eb_9047_6003089b574crow2_col8,#T_1796fc80_1974_11eb_9047_6003089b574crow4_col0,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col3{\n",
       "            background-color:  #7ea1fa;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col7{\n",
       "            background-color:  #efcebd;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col8{\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col9{\n",
       "            background-color:  #f4c6af;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow1_col10{\n",
       "            background-color:  #f6bda2;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col0,#T_1796fc80_1974_11eb_9047_6003089b574crow2_col9{\n",
       "            background-color:  #dd5f4b;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col1{\n",
       "            background-color:  #f7af91;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col3,#T_1796fc80_1974_11eb_9047_6003089b574crow3_col5,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col0,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col1,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col2,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col7,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col9,#T_1796fc80_1974_11eb_9047_6003089b574crow6_col10,#T_1796fc80_1974_11eb_9047_6003089b574crow9_col6,#T_1796fc80_1974_11eb_9047_6003089b574crow10_col4,#T_1796fc80_1974_11eb_9047_6003089b574crow10_col8{\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col4,#T_1796fc80_1974_11eb_9047_6003089b574crow5_col3{\n",
       "            background-color:  #6687ed;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col5{\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col6{\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col7{\n",
       "            background-color:  #d24b40;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow2_col10{\n",
       "            background-color:  #e16751;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col0{\n",
       "            background-color:  #7093f3;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col1{\n",
       "            background-color:  #5a78e4;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col2{\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col4{\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col6{\n",
       "            background-color:  #b7cff9;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col7,#T_1796fc80_1974_11eb_9047_6003089b574crow8_col10{\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col8{\n",
       "            background-color:  #6485ec;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col9{\n",
       "            background-color:  #88abfd;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow3_col10{\n",
       "            background-color:  #c6d6f1;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col1,#T_1796fc80_1974_11eb_9047_6003089b574crow5_col1{\n",
       "            background-color:  #7a9df8;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col3{\n",
       "            background-color:  #6a8bef;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col5{\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col6{\n",
       "            background-color:  #f5c0a7;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col7{\n",
       "            background-color:  #9abbff;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow4_col9{\n",
       "            background-color:  #7396f5;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col0,#T_1796fc80_1974_11eb_9047_6003089b574crow7_col4,#T_1796fc80_1974_11eb_9047_6003089b574crow8_col5{\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col2{\n",
       "            background-color:  #e0dbd8;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col4{\n",
       "            background-color:  #a7c5fe;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col6{\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col7{\n",
       "            background-color:  #d9dce1;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col8{\n",
       "            background-color:  #d6dce4;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col9{\n",
       "            background-color:  #cedaeb;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow5_col10,#T_1796fc80_1974_11eb_9047_6003089b574crow9_col1{\n",
       "            background-color:  #e1dad6;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow6_col4{\n",
       "            background-color:  #efcfbf;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow6_col5{\n",
       "            background-color:  #6180e9;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow6_col8{\n",
       "            background-color:  #f0cdbb;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col0{\n",
       "            background-color:  #ea7b60;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col1{\n",
       "            background-color:  #edd1c2;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col2{\n",
       "            background-color:  #cf453c;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col3{\n",
       "            background-color:  #5673e0;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col5{\n",
       "            background-color:  #bed2f6;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col8{\n",
       "            background-color:  #c9d7f0;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col9{\n",
       "            background-color:  #e97a5f;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow7_col10{\n",
       "            background-color:  #f18f71;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col0{\n",
       "            background-color:  #84a7fc;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col1{\n",
       "            background-color:  #6e90f2;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col2{\n",
       "            background-color:  #8caffe;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col3{\n",
       "            background-color:  #4a63d3;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col6{\n",
       "            background-color:  #f6bfa6;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col7{\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow8_col9{\n",
       "            background-color:  #6c8ff1;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col0{\n",
       "            background-color:  #f7a688;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col2{\n",
       "            background-color:  #e0654f;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col3,#T_1796fc80_1974_11eb_9047_6003089b574crow9_col4{\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col5{\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col7{\n",
       "            background-color:  #f18d6f;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col8{\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow9_col10{\n",
       "            background-color:  #ee8468;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col0{\n",
       "            background-color:  #f59c7d;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col1{\n",
       "            background-color:  #edd2c3;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col2{\n",
       "            background-color:  #e36c55;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col3{\n",
       "            background-color:  #98b9ff;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col5{\n",
       "            background-color:  #a1c0ff;\n",
       "            color:  #000000;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col6{\n",
       "            background-color:  #4055c8;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_1796fc80_1974_11eb_9047_6003089b574crow10_col7{\n",
       "            background-color:  #f6a283;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_1796fc80_1974_11eb_9047_6003089b574c\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >confirmedRate</th>        <th class=\"col_heading level0 col1\" >deathRate</th>        <th class=\"col_heading level0 col2\" >hispanicOrLatinoPct</th>        <th class=\"col_heading level0 col3\" >minorityPct</th>        <th class=\"col_heading level0 col4\" >lowIncomePct</th>        <th class=\"col_heading level0 col5\" >noHealthInsurancePct</th>        <th class=\"col_heading level0 col6\" >serviceOccupationPct</th>        <th class=\"col_heading level0 col7\" >lowEducationPct</th>        <th class=\"col_heading level0 col8\" >noInternetPct</th>        <th class=\"col_heading level0 col9\" >highOccupanyHousingPct</th>        <th class=\"col_heading level0 col10\" >averageHouseholdSize</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row0\" class=\"row_heading level0 row0\" >confirmedRate</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col1\" class=\"data row0 col1\" >0.81</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col2\" class=\"data row0 col2\" >0.85</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col3\" class=\"data row0 col3\" >-0.01</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col4\" class=\"data row0 col4\" >0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col5\" class=\"data row0 col5\" >0.19</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col6\" class=\"data row0 col6\" >-0.21</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col7\" class=\"data row0 col7\" >0.78</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col8\" class=\"data row0 col8\" >0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col9\" class=\"data row0 col9\" >0.66</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow0_col10\" class=\"data row0 col10\" >0.69</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row1\" class=\"row_heading level0 row1\" >deathRate</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col0\" class=\"data row1 col0\" >0.81</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col2\" class=\"data row1 col2\" >0.66</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col3\" class=\"data row1 col3\" >0.02</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col4\" class=\"data row1 col4\" >0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col5\" class=\"data row1 col5\" >0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col6\" class=\"data row1 col6\" >-0.10</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col7\" class=\"data row1 col7\" >0.53</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col8\" class=\"data row1 col8\" >0.08</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col9\" class=\"data row1 col9\" >0.47</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow1_col10\" class=\"data row1 col10\" >0.53</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row2\" class=\"row_heading level0 row2\" >hispanicOrLatinoPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col0\" class=\"data row2 col0\" >0.85</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col1\" class=\"data row2 col1\" >0.66</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col3\" class=\"data row2 col3\" >-0.10</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col4\" class=\"data row2 col4\" >-0.03</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col5\" class=\"data row2 col5\" >0.38</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col6\" class=\"data row2 col6\" >-0.27</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col7\" class=\"data row2 col7\" >0.90</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col8\" class=\"data row2 col8\" >0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col9\" class=\"data row2 col9\" >0.83</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow2_col10\" class=\"data row2 col10\" >0.81</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row3\" class=\"row_heading level0 row3\" >minorityPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col0\" class=\"data row3 col0\" >-0.01</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col1\" class=\"data row3 col1\" >0.02</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col2\" class=\"data row3 col2\" >-0.10</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col4\" class=\"data row3 col4\" >0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col5\" class=\"data row3 col5\" >0.05</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col6\" class=\"data row3 col6\" >0.13</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col7\" class=\"data row3 col7\" >0.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col8\" class=\"data row3 col8\" >-0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col9\" class=\"data row3 col9\" >-0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow3_col10\" class=\"data row3 col10\" >0.21</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row4\" class=\"row_heading level0 row4\" >lowIncomePct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col0\" class=\"data row4 col0\" >0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col1\" class=\"data row4 col1\" >0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col2\" class=\"data row4 col2\" >-0.03</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col3\" class=\"data row4 col3\" >0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col5\" class=\"data row4 col5\" >0.20</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col6\" class=\"data row4 col6\" >0.50</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col7\" class=\"data row4 col7\" >0.20</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col8\" class=\"data row4 col8\" >0.80</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col9\" class=\"data row4 col9\" >-0.14</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow4_col10\" class=\"data row4 col10\" >-0.19</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row5\" class=\"row_heading level0 row5\" >noHealthInsurancePct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col0\" class=\"data row5 col0\" >0.19</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col1\" class=\"data row5 col1\" >0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col2\" class=\"data row5 col2\" >0.38</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col3\" class=\"data row5 col3\" >0.05</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col4\" class=\"data row5 col4\" >0.20</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col6\" class=\"data row5 col6\" >0.17</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col7\" class=\"data row5 col7\" >0.42</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col8\" class=\"data row5 col8\" >0.36</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col9\" class=\"data row5 col9\" >0.23</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow5_col10\" class=\"data row5 col10\" >0.34</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row6\" class=\"row_heading level0 row6\" >serviceOccupationPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col0\" class=\"data row6 col0\" >-0.21</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col1\" class=\"data row6 col1\" >-0.10</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col2\" class=\"data row6 col2\" >-0.27</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col3\" class=\"data row6 col3\" >0.13</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col4\" class=\"data row6 col4\" >0.50</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col5\" class=\"data row6 col5\" >0.17</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col7\" class=\"data row6 col7\" >-0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col8\" class=\"data row6 col8\" >0.50</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col9\" class=\"data row6 col9\" >-0.39</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow6_col10\" class=\"data row6 col10\" >-0.36</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row7\" class=\"row_heading level0 row7\" >lowEducationPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col0\" class=\"data row7 col0\" >0.78</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col1\" class=\"data row7 col1\" >0.53</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col2\" class=\"data row7 col2\" >0.90</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col3\" class=\"data row7 col3\" >0.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col4\" class=\"data row7 col4\" >0.20</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col5\" class=\"data row7 col5\" >0.42</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col6\" class=\"data row7 col6\" >-0.12</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col8\" class=\"data row7 col8\" >0.31</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col9\" class=\"data row7 col9\" >0.75</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow7_col10\" class=\"data row7 col10\" >0.70</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row8\" class=\"row_heading level0 row8\" >noInternetPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col0\" class=\"data row8 col0\" >0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col1\" class=\"data row8 col1\" >0.08</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col2\" class=\"data row8 col2\" >0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col3\" class=\"data row8 col3\" >-0.04</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col4\" class=\"data row8 col4\" >0.80</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col5\" class=\"data row8 col5\" >0.36</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col6\" class=\"data row8 col6\" >0.50</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col7\" class=\"data row8 col7\" >0.31</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col8\" class=\"data row8 col8\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col9\" class=\"data row8 col9\" >-0.17</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow8_col10\" class=\"data row8 col10\" >-0.21</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row9\" class=\"row_heading level0 row9\" >highOccupanyHousingPct</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col0\" class=\"data row9 col0\" >0.66</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col1\" class=\"data row9 col1\" >0.47</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col2\" class=\"data row9 col2\" >0.83</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col3\" class=\"data row9 col3\" >-0.06</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col4\" class=\"data row9 col4\" >-0.14</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col5\" class=\"data row9 col5\" >0.23</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col6\" class=\"data row9 col6\" >-0.39</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col7\" class=\"data row9 col7\" >0.75</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col8\" class=\"data row9 col8\" >-0.17</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col9\" class=\"data row9 col9\" >1.00</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow9_col10\" class=\"data row9 col10\" >0.72</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1796fc80_1974_11eb_9047_6003089b574clevel0_row10\" class=\"row_heading level0 row10\" >averageHouseholdSize</th>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col0\" class=\"data row10 col0\" >0.69</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col1\" class=\"data row10 col1\" >0.53</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col2\" class=\"data row10 col2\" >0.81</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col3\" class=\"data row10 col3\" >0.21</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col4\" class=\"data row10 col4\" >-0.19</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col5\" class=\"data row10 col5\" >0.34</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col6\" class=\"data row10 col6\" >-0.36</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col7\" class=\"data row10 col7\" >0.70</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col8\" class=\"data row10 col8\" >-0.21</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col9\" class=\"data row10 col9\" >0.72</td>\n",
       "                        <td id=\"T_1796fc80_1974_11eb_9047_6003089b574crow10_col10\" class=\"data row10 col10\" >1.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x11dfb4310>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr.style.background_gradient(cmap='coolwarm').set_precision(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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