covid-19-3-28.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "pd.set_option('max_rows', 100) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports/03-28-2020.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get daily data from the url"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "header = {\n",
    "  \"User-Agent\": \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36\",\n",
    "  \"X-Requested-With\": \"XMLHttpRequest\"\n",
    "}\n",
    "\n",
    "r = requests.get(url, headers=header)\n",
    "df = pd.read_html(r.text, header=[0], index_col=0)[0].iloc[:-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### quick glance at the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Last_Update</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>Combined_Key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>1123.0</td>\n",
       "      <td>Tallapoosa</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>32.866983</td>\n",
       "      <td>-85.798331</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tallapoosa, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>31.753001</td>\n",
       "      <td>-86.680575</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Butler, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>1121.0</td>\n",
       "      <td>Talladega</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>33.378232</td>\n",
       "      <td>-86.168862</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Talladega, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>1065.0</td>\n",
       "      <td>Hale</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>32.760393</td>\n",
       "      <td>-87.632850</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hale, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>1117.0</td>\n",
       "      <td>Shelby</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>33.268798</td>\n",
       "      <td>-86.662326</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Shelby, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>56027.0</td>\n",
       "      <td>Niobrara</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.056077</td>\n",
       "      <td>-104.475890</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Niobrara, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>56021.0</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.307025</td>\n",
       "      <td>-104.688750</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Laramie, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>56033.0</td>\n",
       "      <td>Sheridan</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.790489</td>\n",
       "      <td>-106.886239</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sheridan, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>56003.0</td>\n",
       "      <td>Big Horn</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.524051</td>\n",
       "      <td>-107.996037</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Big Horn, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>56045.0</td>\n",
       "      <td>Weston</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.839612</td>\n",
       "      <td>-104.567488</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Weston, Wyoming, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3178 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        FIPS      Admin2 Province_State Country_Region          Last_Update  \\\n",
       "NaN   1123.0  Tallapoosa        Alabama             US  2020-03-28 23:05:37   \n",
       "NaN   1013.0      Butler        Alabama             US  2020-03-28 23:05:37   \n",
       "NaN   1121.0   Talladega        Alabama             US  2020-03-28 23:05:37   \n",
       "NaN   1065.0        Hale        Alabama             US  2020-03-28 23:05:37   \n",
       "NaN   1117.0      Shelby        Alabama             US  2020-03-28 23:05:37   \n",
       "..       ...         ...            ...            ...                  ...   \n",
       "NaN  56027.0    Niobrara        Wyoming             US  2020-03-28 23:05:37   \n",
       "NaN  56021.0     Laramie        Wyoming             US  2020-03-28 23:05:37   \n",
       "NaN  56033.0    Sheridan        Wyoming             US  2020-03-28 23:05:37   \n",
       "NaN  56003.0    Big Horn        Wyoming             US  2020-03-28 23:05:37   \n",
       "NaN  56045.0      Weston        Wyoming             US  2020-03-28 23:05:37   \n",
       "\n",
       "           Lat       Long_  Confirmed  Deaths  Recovered  Active  \\\n",
       "NaN  32.866983  -85.798331          5       0          0       0   \n",
       "NaN  31.753001  -86.680575          1       0          0       0   \n",
       "NaN  33.378232  -86.168862          4       0          0       0   \n",
       "NaN  32.760393  -87.632850          0       0          0       0   \n",
       "NaN  33.268798  -86.662326         72       0          0       0   \n",
       "..         ...         ...        ...     ...        ...     ...   \n",
       "NaN  43.056077 -104.475890          0       0          0       0   \n",
       "NaN  41.307025 -104.688750         19       0          0       0   \n",
       "NaN  44.790489 -106.886239          6       0          0       0   \n",
       "NaN  44.524051 -107.996037          0       0          0       0   \n",
       "NaN  43.839612 -104.567488          0       0          0       0   \n",
       "\n",
       "                Combined_Key  \n",
       "NaN  Tallapoosa, Alabama, US  \n",
       "NaN      Butler, Alabama, US  \n",
       "NaN   Talladega, Alabama, US  \n",
       "NaN        Hale, Alabama, US  \n",
       "NaN      Shelby, Alabama, US  \n",
       "..                       ...  \n",
       "NaN    Niobrara, Wyoming, US  \n",
       "NaN     Laramie, Wyoming, US  \n",
       "NaN    Sheridan, Wyoming, US  \n",
       "NaN    Big Horn, Wyoming, US  \n",
       "NaN      Weston, Wyoming, US  \n",
       "\n",
       "[3178 rows x 12 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Country_Region=='US'].sort_values(by='Province_State')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3148.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "      <td>3429.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>30472.462834</td>\n",
       "      <td>36.905570</td>\n",
       "      <td>-82.871955</td>\n",
       "      <td>192.679790</td>\n",
       "      <td>8.938758</td>\n",
       "      <td>40.657626</td>\n",
       "      <td>107.087781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>15295.724160</td>\n",
       "      <td>9.980404</td>\n",
       "      <td>39.064314</td>\n",
       "      <td>2779.517601</td>\n",
       "      <td>216.053733</td>\n",
       "      <td>1137.416654</td>\n",
       "      <td>1903.826078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1001.000000</td>\n",
       "      <td>-42.882100</td>\n",
       "      <td>-170.132000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>18180.500000</td>\n",
       "      <td>33.964725</td>\n",
       "      <td>-97.636135</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29182.000000</td>\n",
       "      <td>38.078093</td>\n",
       "      <td>-89.074836</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>45089.500000</td>\n",
       "      <td>41.742283</td>\n",
       "      <td>-81.749524</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99999.000000</td>\n",
       "      <td>71.706900</td>\n",
       "      <td>178.065000</td>\n",
       "      <td>92472.000000</td>\n",
       "      <td>10023.000000</td>\n",
       "      <td>62098.000000</td>\n",
       "      <td>70065.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               FIPS          Lat        Long_     Confirmed        Deaths  \\\n",
       "count   3148.000000  3429.000000  3429.000000   3429.000000   3429.000000   \n",
       "mean   30472.462834    36.905570   -82.871955    192.679790      8.938758   \n",
       "std    15295.724160     9.980404    39.064314   2779.517601    216.053733   \n",
       "min     1001.000000   -42.882100  -170.132000      0.000000      0.000000   \n",
       "25%    18180.500000    33.964725   -97.636135      0.000000      0.000000   \n",
       "50%    29182.000000    38.078093   -89.074836      1.000000      0.000000   \n",
       "75%    45089.500000    41.742283   -81.749524      9.000000      0.000000   \n",
       "max    99999.000000    71.706900   178.065000  92472.000000  10023.000000   \n",
       "\n",
       "          Recovered        Active  \n",
       "count   3429.000000   3429.000000  \n",
       "mean      40.657626    107.087781  \n",
       "std     1137.416654   1903.826078  \n",
       "min        0.000000     -6.000000  \n",
       "25%        0.000000      0.000000  \n",
       "50%        0.000000      0.000000  \n",
       "75%        0.000000      0.000000  \n",
       "max    62098.000000  70065.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Aggregate by state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_totals = df[df.Country_Region=='US'].groupby(by='Province_State').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.900000e+01</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.625887e+06</td>\n",
       "      <td>2050.698673</td>\n",
       "      <td>-4918.484444</td>\n",
       "      <td>2058.949153</td>\n",
       "      <td>34.338983</td>\n",
       "      <td>18.169492</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.995046e+06</td>\n",
       "      <td>1723.851903</td>\n",
       "      <td>4444.367633</td>\n",
       "      <td>6922.277001</td>\n",
       "      <td>99.848611</td>\n",
       "      <td>139.562513</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-14.271000</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.600120e+05</td>\n",
       "      <td>561.685748</td>\n",
       "      <td>-7320.232710</td>\n",
       "      <td>139.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.288529e+06</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>441.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.269284e+06</td>\n",
       "      <td>3302.767521</td>\n",
       "      <td>-1044.429181</td>\n",
       "      <td>1458.500000</td>\n",
       "      <td>27.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.225652e+07</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>145.673900</td>\n",
       "      <td>52410.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>1072.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               FIPS          Lat         Long_     Confirmed      Deaths  \\\n",
       "count  5.900000e+01    59.000000     59.000000     59.000000   59.000000   \n",
       "mean   1.625887e+06  2050.698673  -4918.484444   2058.949153   34.338983   \n",
       "std    1.995046e+06  1723.851903   4444.367633   6922.277001   99.848611   \n",
       "min    0.000000e+00   -14.271000 -25057.879425      0.000000    0.000000   \n",
       "25%    1.600120e+05   561.685748  -7320.232710    139.000000    1.500000   \n",
       "50%    1.288529e+06  1947.589655  -4708.049596    441.000000    5.000000   \n",
       "75%    2.269284e+06  3302.767521  -1044.429181   1458.500000   27.500000   \n",
       "max    1.225652e+07  8041.803434    145.673900  52410.000000  728.000000   \n",
       "\n",
       "         Recovered  Active  \n",
       "count    59.000000    59.0  \n",
       "mean     18.169492     0.0  \n",
       "std     139.562513     0.0  \n",
       "min       0.000000     0.0  \n",
       "25%       0.000000     0.0  \n",
       "50%       0.000000     0.0  \n",
       "75%       0.000000     0.0  \n",
       "max    1072.000000     0.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_totals.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Province_State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>2235844.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>714441.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>351364.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>2164889.0</td>\n",
       "      <td>3655.620467</td>\n",
       "      <td>-7070.080729</td>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>350196.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>2068521.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>808550.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>1744404.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>1412096.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>2818489.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>12256516.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>2092677.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>515983.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>72064.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>4474025.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>3439744.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>1664464.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>3965119.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>3710000.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>577079.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>3348537.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>60208.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>6818111.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71489.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>2302724.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>2072116.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>544774.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>1421841.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>1477296.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>2356569.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>380625.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>2534400.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>3085929.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>11001.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>1890801.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>2111025.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>220025.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>705936.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>30009.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>700196.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>368256.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>1155995.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>330100.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>75025.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>1683136.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>99999.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>103</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puerto Rico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.220800</td>\n",
       "      <td>-66.590100</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>2973025.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>2891649.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>2016809.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>62340.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>1288529.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>3040485.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamond Princess</th>\n",
       "      <td>88888.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>78000.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northern Mariana Islands</th>\n",
       "      <td>69000.0</td>\n",
       "      <td>15.097900</td>\n",
       "      <td>145.673900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recovered</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1072</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>60000.0</td>\n",
       "      <td>-14.271000</td>\n",
       "      <td>-170.132000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                FIPS          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                   2235844.0  2637.737383  -4679.399365      52410   \n",
       "New Jersey                  714441.0   846.015259  -1567.071444      11124   \n",
       "California                  351364.0  2194.949775  -7002.258461       5095   \n",
       "Michigan                   2164889.0  3655.620467  -7070.080729       4650   \n",
       "Massachusetts               350196.0   630.994149  -1071.277031       4257   \n",
       "Washington                 2068521.0  1842.117670  -4708.049596       4030   \n",
       "Florida                     808550.0  1939.030577  -5540.949842       3763   \n",
       "Illinois                   1744404.0  4064.049006  -9096.189667       3491   \n",
       "Louisiana                  1412096.0  1989.915353  -5876.747946       3315   \n",
       "Pennsylvania               2818489.0  2734.811250  -5200.226295       2845   \n",
       "Texas                     12256516.0  8041.803434 -25057.879425       2455   \n",
       "Georgia                    2092677.0  5216.556611 -13288.811358       2366   \n",
       "Colorado                    515983.0  2491.870366  -6751.119357       1740   \n",
       "Connecticut                  72064.0   332.909441   -581.254637       1524   \n",
       "Tennessee                  4474025.0  3409.084710  -8180.328684       1511   \n",
       "Ohio                       3439744.0  3547.338944  -7289.515905       1406   \n",
       "Indiana                    1664464.0  3665.036491  -7932.108297       1233   \n",
       "Wisconsin                  3965119.0  3196.450332  -6465.454559       1055   \n",
       "North Carolina             3710000.0  3562.420971  -7950.109874       1020   \n",
       "Maryland                    577079.0   936.358097  -1840.211223        995   \n",
       "Missouri                   3348537.0  4460.984726 -10729.940479        836   \n",
       "Arizona                      60208.0   505.138555  -1671.948482        773   \n",
       "Virginia                   6818111.0  4996.297993 -10442.323661        740   \n",
       "Alabama                      71489.0  2203.246784  -5809.578199        694   \n",
       "Mississippi                2302724.0  2689.003578  -7350.949516        663   \n",
       "South Carolina             2072116.0  1562.043718  -3725.236386        660   \n",
       "Nevada                      544774.0   667.351945  -1998.587890        626   \n",
       "Utah                       1421841.0  1149.410881  -3236.285569        602   \n",
       "Oregon                     1477296.0  1601.726424  -4373.169106        479   \n",
       "Minnesota                  2356569.0  3963.025129  -8215.492913        441   \n",
       "Arkansas                    380625.0  2618.391704  -6932.548370        409   \n",
       "Kentucky                   2534400.0  4514.657262 -10223.986874        393   \n",
       "Oklahoma                   3085929.0  2733.647411  -7488.357767        377   \n",
       "District of Columbia         11001.0    38.904178    -77.016560        304   \n",
       "Iowa                       1890801.0  4160.961092  -9253.086423        298   \n",
       "Kansas                     2111025.0  4040.964784 -10298.877911        266   \n",
       "Rhode Island                220025.0   208.275711   -357.320525        239   \n",
       "Idaho                       705936.0  1947.589655  -5036.245496        234   \n",
       "Delaware                     30009.0   117.327830   -226.599712        214   \n",
       "Vermont                     700196.0   618.232941  -1017.581330        211   \n",
       "Maine                       368256.0   715.003014  -1112.380298        211   \n",
       "New Mexico                 1155995.0  1172.481604  -3601.107483        208   \n",
       "New Hampshire               330100.0   434.789729   -715.776567        187   \n",
       "Hawaii                       75025.0   105.141415   -786.616182        149   \n",
       "Montana                    1683136.0  2630.582703  -6143.222113        129   \n",
       "Grand Princess               99999.0     0.000000      0.000000        103   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        100   \n",
       "West Virginia              2973025.0  2134.783954  -4433.959998         96   \n",
       "Nebraska                   2891649.0  3842.926930  -9210.628137         96   \n",
       "North Dakota               2016809.0  2511.855857  -5313.217852         94   \n",
       "Alaska                       62340.0  1747.579877  -4229.319334         85   \n",
       "Wyoming                    1288529.0   990.998367  -2464.524571         82   \n",
       "South Dakota               3040485.0  2921.997865  -6554.501988         68   \n",
       "Guam                         66000.0    13.444300    144.793700         55   \n",
       "Diamond Princess             88888.0     0.000000      0.000000         49   \n",
       "Virgin Islands               78000.0    18.335800    -64.896300         22   \n",
       "Northern Mariana Islands     69000.0    15.097900    145.673900          0   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "American Samoa               60000.0   -14.271000   -170.132000          0   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                     728          0       0  \n",
       "New Jersey                   140          0       0  \n",
       "California                   110          0       0  \n",
       "Michigan                     111          0       0  \n",
       "Massachusetts                 44          0       0  \n",
       "Washington                   188          0       0  \n",
       "Florida                       54          0       0  \n",
       "Illinois                      47          0       0  \n",
       "Louisiana                    137          0       0  \n",
       "Pennsylvania                  34          0       0  \n",
       "Texas                         30          0       0  \n",
       "Georgia                       69          0       0  \n",
       "Colorado                      31          0       0  \n",
       "Connecticut                   33          0       0  \n",
       "Tennessee                      7          0       0  \n",
       "Ohio                          25          0       0  \n",
       "Indiana                       31          0       0  \n",
       "Wisconsin                     17          0       0  \n",
       "North Carolina                 5          0       0  \n",
       "Maryland                       5          0       0  \n",
       "Missouri                      10          0       0  \n",
       "Arizona                       15          0       0  \n",
       "Virginia                      13          0       0  \n",
       "Alabama                        4          0       0  \n",
       "Mississippi                   13          0       0  \n",
       "South Carolina                15          0       0  \n",
       "Nevada                        10          0       0  \n",
       "Utah                           1          0       0  \n",
       "Oregon                        13          0       0  \n",
       "Minnesota                      5          0       0  \n",
       "Arkansas                       5          0       0  \n",
       "Kentucky                       9          0       0  \n",
       "Oklahoma                      15          0       0  \n",
       "District of Columbia           4          0       0  \n",
       "Iowa                           3          0       0  \n",
       "Kansas                         4          0       0  \n",
       "Rhode Island                   2          0       0  \n",
       "Idaho                          4          0       0  \n",
       "Delaware                       5          0       0  \n",
       "Vermont                       12          0       0  \n",
       "Maine                          1          0       0  \n",
       "New Mexico                     1          0       0  \n",
       "New Hampshire                  2          0       0  \n",
       "Hawaii                         0          0       0  \n",
       "Montana                        1          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "Puerto Rico                    3          0       0  \n",
       "West Virginia                  0          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "North Dakota                   1          0       0  \n",
       "Alaska                         2          0       0  \n",
       "Wyoming                        0          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "Guam                           1          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "Virgin Islands                 0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Recovered                      0       1072       0  \n",
       "American Samoa                 0          0       0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_totals.sort_values(by='Confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Province_State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>2235844.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>714441.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>351364.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>2164889.0</td>\n",
       "      <td>3655.620467</td>\n",
       "      <td>-7070.080729</td>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>350196.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>2068521.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>808550.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>1744404.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>1412096.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>2818489.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>12256516.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>2092677.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>515983.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>72064.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>4474025.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>3439744.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>1664464.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>3965119.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>3710000.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>577079.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>3348537.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>60208.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>6818111.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71489.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>2302724.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>2072116.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>544774.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>1421841.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>1477296.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>2356569.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>380625.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>2534400.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>3085929.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>11001.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>1890801.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>2111025.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>220025.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>705936.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>30009.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>700196.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>368256.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>1155995.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>330100.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>75025.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>1683136.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>99999.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>103</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puerto Rico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.220800</td>\n",
       "      <td>-66.590100</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>2973025.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>2891649.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>2016809.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>62340.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>1288529.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>3040485.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamond Princess</th>\n",
       "      <td>88888.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>78000.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northern Mariana Islands</th>\n",
       "      <td>69000.0</td>\n",
       "      <td>15.097900</td>\n",
       "      <td>145.673900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recovered</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1072</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>60000.0</td>\n",
       "      <td>-14.271000</td>\n",
       "      <td>-170.132000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                FIPS          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                   2235844.0  2637.737383  -4679.399365      52410   \n",
       "New Jersey                  714441.0   846.015259  -1567.071444      11124   \n",
       "California                  351364.0  2194.949775  -7002.258461       5095   \n",
       "Michigan                   2164889.0  3655.620467  -7070.080729       4650   \n",
       "Massachusetts               350196.0   630.994149  -1071.277031       4257   \n",
       "Washington                 2068521.0  1842.117670  -4708.049596       4030   \n",
       "Florida                     808550.0  1939.030577  -5540.949842       3763   \n",
       "Illinois                   1744404.0  4064.049006  -9096.189667       3491   \n",
       "Louisiana                  1412096.0  1989.915353  -5876.747946       3315   \n",
       "Pennsylvania               2818489.0  2734.811250  -5200.226295       2845   \n",
       "Texas                     12256516.0  8041.803434 -25057.879425       2455   \n",
       "Georgia                    2092677.0  5216.556611 -13288.811358       2366   \n",
       "Colorado                    515983.0  2491.870366  -6751.119357       1740   \n",
       "Connecticut                  72064.0   332.909441   -581.254637       1524   \n",
       "Tennessee                  4474025.0  3409.084710  -8180.328684       1511   \n",
       "Ohio                       3439744.0  3547.338944  -7289.515905       1406   \n",
       "Indiana                    1664464.0  3665.036491  -7932.108297       1233   \n",
       "Wisconsin                  3965119.0  3196.450332  -6465.454559       1055   \n",
       "North Carolina             3710000.0  3562.420971  -7950.109874       1020   \n",
       "Maryland                    577079.0   936.358097  -1840.211223        995   \n",
       "Missouri                   3348537.0  4460.984726 -10729.940479        836   \n",
       "Arizona                      60208.0   505.138555  -1671.948482        773   \n",
       "Virginia                   6818111.0  4996.297993 -10442.323661        740   \n",
       "Alabama                      71489.0  2203.246784  -5809.578199        694   \n",
       "Mississippi                2302724.0  2689.003578  -7350.949516        663   \n",
       "South Carolina             2072116.0  1562.043718  -3725.236386        660   \n",
       "Nevada                      544774.0   667.351945  -1998.587890        626   \n",
       "Utah                       1421841.0  1149.410881  -3236.285569        602   \n",
       "Oregon                     1477296.0  1601.726424  -4373.169106        479   \n",
       "Minnesota                  2356569.0  3963.025129  -8215.492913        441   \n",
       "Arkansas                    380625.0  2618.391704  -6932.548370        409   \n",
       "Kentucky                   2534400.0  4514.657262 -10223.986874        393   \n",
       "Oklahoma                   3085929.0  2733.647411  -7488.357767        377   \n",
       "District of Columbia         11001.0    38.904178    -77.016560        304   \n",
       "Iowa                       1890801.0  4160.961092  -9253.086423        298   \n",
       "Kansas                     2111025.0  4040.964784 -10298.877911        266   \n",
       "Rhode Island                220025.0   208.275711   -357.320525        239   \n",
       "Idaho                       705936.0  1947.589655  -5036.245496        234   \n",
       "Delaware                     30009.0   117.327830   -226.599712        214   \n",
       "Vermont                     700196.0   618.232941  -1017.581330        211   \n",
       "Maine                       368256.0   715.003014  -1112.380298        211   \n",
       "New Mexico                 1155995.0  1172.481604  -3601.107483        208   \n",
       "New Hampshire               330100.0   434.789729   -715.776567        187   \n",
       "Hawaii                       75025.0   105.141415   -786.616182        149   \n",
       "Montana                    1683136.0  2630.582703  -6143.222113        129   \n",
       "Grand Princess               99999.0     0.000000      0.000000        103   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        100   \n",
       "West Virginia              2973025.0  2134.783954  -4433.959998         96   \n",
       "Nebraska                   2891649.0  3842.926930  -9210.628137         96   \n",
       "North Dakota               2016809.0  2511.855857  -5313.217852         94   \n",
       "Alaska                       62340.0  1747.579877  -4229.319334         85   \n",
       "Wyoming                    1288529.0   990.998367  -2464.524571         82   \n",
       "South Dakota               3040485.0  2921.997865  -6554.501988         68   \n",
       "Guam                         66000.0    13.444300    144.793700         55   \n",
       "Diamond Princess             88888.0     0.000000      0.000000         49   \n",
       "Virgin Islands               78000.0    18.335800    -64.896300         22   \n",
       "Northern Mariana Islands     69000.0    15.097900    145.673900          0   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "American Samoa               60000.0   -14.271000   -170.132000          0   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                     728          0       0  \n",
       "New Jersey                   140          0       0  \n",
       "California                   110          0       0  \n",
       "Michigan                     111          0       0  \n",
       "Massachusetts                 44          0       0  \n",
       "Washington                   188          0       0  \n",
       "Florida                       54          0       0  \n",
       "Illinois                      47          0       0  \n",
       "Louisiana                    137          0       0  \n",
       "Pennsylvania                  34          0       0  \n",
       "Texas                         30          0       0  \n",
       "Georgia                       69          0       0  \n",
       "Colorado                      31          0       0  \n",
       "Connecticut                   33          0       0  \n",
       "Tennessee                      7          0       0  \n",
       "Ohio                          25          0       0  \n",
       "Indiana                       31          0       0  \n",
       "Wisconsin                     17          0       0  \n",
       "North Carolina                 5          0       0  \n",
       "Maryland                       5          0       0  \n",
       "Missouri                      10          0       0  \n",
       "Arizona                       15          0       0  \n",
       "Virginia                      13          0       0  \n",
       "Alabama                        4          0       0  \n",
       "Mississippi                   13          0       0  \n",
       "South Carolina                15          0       0  \n",
       "Nevada                        10          0       0  \n",
       "Utah                           1          0       0  \n",
       "Oregon                        13          0       0  \n",
       "Minnesota                      5          0       0  \n",
       "Arkansas                       5          0       0  \n",
       "Kentucky                       9          0       0  \n",
       "Oklahoma                      15          0       0  \n",
       "District of Columbia           4          0       0  \n",
       "Iowa                           3          0       0  \n",
       "Kansas                         4          0       0  \n",
       "Rhode Island                   2          0       0  \n",
       "Idaho                          4          0       0  \n",
       "Delaware                       5          0       0  \n",
       "Vermont                       12          0       0  \n",
       "Maine                          1          0       0  \n",
       "New Mexico                     1          0       0  \n",
       "New Hampshire                  2          0       0  \n",
       "Hawaii                         0          0       0  \n",
       "Montana                        1          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "Puerto Rico                    3          0       0  \n",
       "West Virginia                  0          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "North Dakota                   1          0       0  \n",
       "Alaska                         2          0       0  \n",
       "Wyoming                        0          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "Guam                           1          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "Virgin Islands                 0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Recovered                      0       1072       0  \n",
       "American Samoa                 0          0       0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_totals.sort_values(by='Confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>FIPS</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Province_State</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>New York</th>\n",
       "      <td>2235844.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>2068521.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>714441.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>1412096.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>2164889.0</td>\n",
       "      <td>3655.620467</td>\n",
       "      <td>-7070.080729</td>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>351364.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>2092677.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>808550.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>1744404.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>350196.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>2818489.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>72064.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>515983.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>1664464.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>12256516.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>3439744.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>3965119.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>2072116.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>60208.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>3085929.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>2302724.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>1477296.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>6818111.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>700196.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>3348537.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>544774.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>2534400.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>4474025.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>577079.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>2356569.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>30009.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>3710000.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>380625.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>71489.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>2111025.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>11001.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>705936.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>99999.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>103</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puerto Rico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.220800</td>\n",
       "      <td>-66.590100</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>1890801.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>330100.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>220025.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>2891649.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>62340.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>368256.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>3040485.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>1683136.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>1421841.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>2016809.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>1155995.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>75025.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recovered</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1072</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>78000.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northern Mariana Islands</th>\n",
       "      <td>69000.0</td>\n",
       "      <td>15.097900</td>\n",
       "      <td>145.673900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamond Princess</th>\n",
       "      <td>88888.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>2973025.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>60000.0</td>\n",
       "      <td>-14.271000</td>\n",
       "      <td>-170.132000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>1288529.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                FIPS          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                   2235844.0  2637.737383  -4679.399365      52410   \n",
       "Washington                 2068521.0  1842.117670  -4708.049596       4030   \n",
       "New Jersey                  714441.0   846.015259  -1567.071444      11124   \n",
       "Louisiana                  1412096.0  1989.915353  -5876.747946       3315   \n",
       "Michigan                   2164889.0  3655.620467  -7070.080729       4650   \n",
       "California                  351364.0  2194.949775  -7002.258461       5095   \n",
       "Georgia                    2092677.0  5216.556611 -13288.811358       2366   \n",
       "Florida                     808550.0  1939.030577  -5540.949842       3763   \n",
       "Illinois                   1744404.0  4064.049006  -9096.189667       3491   \n",
       "Massachusetts               350196.0   630.994149  -1071.277031       4257   \n",
       "Pennsylvania               2818489.0  2734.811250  -5200.226295       2845   \n",
       "Connecticut                  72064.0   332.909441   -581.254637       1524   \n",
       "Colorado                    515983.0  2491.870366  -6751.119357       1740   \n",
       "Indiana                    1664464.0  3665.036491  -7932.108297       1233   \n",
       "Texas                     12256516.0  8041.803434 -25057.879425       2455   \n",
       "Ohio                       3439744.0  3547.338944  -7289.515905       1406   \n",
       "Wisconsin                  3965119.0  3196.450332  -6465.454559       1055   \n",
       "South Carolina             2072116.0  1562.043718  -3725.236386        660   \n",
       "Arizona                      60208.0   505.138555  -1671.948482        773   \n",
       "Oklahoma                   3085929.0  2733.647411  -7488.357767        377   \n",
       "Mississippi                2302724.0  2689.003578  -7350.949516        663   \n",
       "Oregon                     1477296.0  1601.726424  -4373.169106        479   \n",
       "Virginia                   6818111.0  4996.297993 -10442.323661        740   \n",
       "Vermont                     700196.0   618.232941  -1017.581330        211   \n",
       "Missouri                   3348537.0  4460.984726 -10729.940479        836   \n",
       "Nevada                      544774.0   667.351945  -1998.587890        626   \n",
       "Kentucky                   2534400.0  4514.657262 -10223.986874        393   \n",
       "Tennessee                  4474025.0  3409.084710  -8180.328684       1511   \n",
       "Maryland                    577079.0   936.358097  -1840.211223        995   \n",
       "Minnesota                  2356569.0  3963.025129  -8215.492913        441   \n",
       "Delaware                     30009.0   117.327830   -226.599712        214   \n",
       "North Carolina             3710000.0  3562.420971  -7950.109874       1020   \n",
       "Arkansas                    380625.0  2618.391704  -6932.548370        409   \n",
       "Alabama                      71489.0  2203.246784  -5809.578199        694   \n",
       "Kansas                     2111025.0  4040.964784 -10298.877911        266   \n",
       "District of Columbia         11001.0    38.904178    -77.016560        304   \n",
       "Idaho                       705936.0  1947.589655  -5036.245496        234   \n",
       "Grand Princess               99999.0     0.000000      0.000000        103   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        100   \n",
       "Iowa                       1890801.0  4160.961092  -9253.086423        298   \n",
       "New Hampshire               330100.0   434.789729   -715.776567        187   \n",
       "Rhode Island                220025.0   208.275711   -357.320525        239   \n",
       "Nebraska                   2891649.0  3842.926930  -9210.628137         96   \n",
       "Alaska                       62340.0  1747.579877  -4229.319334         85   \n",
       "Maine                       368256.0   715.003014  -1112.380298        211   \n",
       "South Dakota               3040485.0  2921.997865  -6554.501988         68   \n",
       "Montana                    1683136.0  2630.582703  -6143.222113        129   \n",
       "Utah                       1421841.0  1149.410881  -3236.285569        602   \n",
       "Guam                         66000.0    13.444300    144.793700         55   \n",
       "North Dakota               2016809.0  2511.855857  -5313.217852         94   \n",
       "New Mexico                 1155995.0  1172.481604  -3601.107483        208   \n",
       "Hawaii                       75025.0   105.141415   -786.616182        149   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "Virgin Islands               78000.0    18.335800    -64.896300         22   \n",
       "Northern Mariana Islands     69000.0    15.097900    145.673900          0   \n",
       "Diamond Princess             88888.0     0.000000      0.000000         49   \n",
       "West Virginia              2973025.0  2134.783954  -4433.959998         96   \n",
       "American Samoa               60000.0   -14.271000   -170.132000          0   \n",
       "Wyoming                    1288529.0   990.998367  -2464.524571         82   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                     728          0       0  \n",
       "Washington                   188          0       0  \n",
       "New Jersey                   140          0       0  \n",
       "Louisiana                    137          0       0  \n",
       "Michigan                     111          0       0  \n",
       "California                   110          0       0  \n",
       "Georgia                       69          0       0  \n",
       "Florida                       54          0       0  \n",
       "Illinois                      47          0       0  \n",
       "Massachusetts                 44          0       0  \n",
       "Pennsylvania                  34          0       0  \n",
       "Connecticut                   33          0       0  \n",
       "Colorado                      31          0       0  \n",
       "Indiana                       31          0       0  \n",
       "Texas                         30          0       0  \n",
       "Ohio                          25          0       0  \n",
       "Wisconsin                     17          0       0  \n",
       "South Carolina                15          0       0  \n",
       "Arizona                       15          0       0  \n",
       "Oklahoma                      15          0       0  \n",
       "Mississippi                   13          0       0  \n",
       "Oregon                        13          0       0  \n",
       "Virginia                      13          0       0  \n",
       "Vermont                       12          0       0  \n",
       "Missouri                      10          0       0  \n",
       "Nevada                        10          0       0  \n",
       "Kentucky                       9          0       0  \n",
       "Tennessee                      7          0       0  \n",
       "Maryland                       5          0       0  \n",
       "Minnesota                      5          0       0  \n",
       "Delaware                       5          0       0  \n",
       "North Carolina                 5          0       0  \n",
       "Arkansas                       5          0       0  \n",
       "Alabama                        4          0       0  \n",
       "Kansas                         4          0       0  \n",
       "District of Columbia           4          0       0  \n",
       "Idaho                          4          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "Puerto Rico                    3          0       0  \n",
       "Iowa                           3          0       0  \n",
       "New Hampshire                  2          0       0  \n",
       "Rhode Island                   2          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "Alaska                         2          0       0  \n",
       "Maine                          1          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "Montana                        1          0       0  \n",
       "Utah                           1          0       0  \n",
       "Guam                           1          0       0  \n",
       "North Dakota                   1          0       0  \n",
       "New Mexico                     1          0       0  \n",
       "Hawaii                         0          0       0  \n",
       "Recovered                      0       1072       0  \n",
       "Virgin Islands                 0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "West Virginia                  0          0       0  \n",
       "American Samoa                 0          0       0  \n",
       "Wyoming                        0          0       0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Country_Region=='US'].groupby(by='Province_State').sum().sort_values(by='Deaths', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Last_Update</th>\n",
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       "      <th>Combined_Key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>NaN</th>\n",
       "      <td>34003.0</td>\n",
       "      <td>Bergen</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.960109</td>\n",
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       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Bergen, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34013.0</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.786813</td>\n",
       "      <td>-74.246580</td>\n",
       "      <td>1086</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Essex, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34023.0</td>\n",
       "      <td>Middlesex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.436299</td>\n",
       "      <td>-74.414270</td>\n",
       "      <td>808</td>\n",
       "      <td>4</td>\n",
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       "      <td>0</td>\n",
       "      <td>Middlesex, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34025.0</td>\n",
       "      <td>Monmouth</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.265497</td>\n",
       "      <td>-74.222407</td>\n",
       "      <td>781</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monmouth, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34017.0</td>\n",
       "      <td>Hudson</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.737662</td>\n",
       "      <td>-74.075157</td>\n",
       "      <td>771</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hudson, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34039.0</td>\n",
       "      <td>Union</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.658354</td>\n",
       "      <td>-74.306801</td>\n",
       "      <td>742</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Union, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34029.0</td>\n",
       "      <td>Ocean</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.889545</td>\n",
       "      <td>-74.280893</td>\n",
       "      <td>624</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ocean, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34031.0</td>\n",
       "      <td>Passaic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.032386</td>\n",
       "      <td>-74.299541</td>\n",
       "      <td>608</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Passaic, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34027.0</td>\n",
       "      <td>Morris</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.860953</td>\n",
       "      <td>-74.545537</td>\n",
       "      <td>442</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Morris, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34035.0</td>\n",
       "      <td>Somerset</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.564657</td>\n",
       "      <td>-74.616830</td>\n",
       "      <td>258</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Somerset, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34021.0</td>\n",
       "      <td>Mercer</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.280470</td>\n",
       "      <td>-74.704796</td>\n",
       "      <td>168</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mercer, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34007.0</td>\n",
       "      <td>Camden</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.803438</td>\n",
       "      <td>-74.963888</td>\n",
       "      <td>123</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Camden, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34005.0</td>\n",
       "      <td>Burlington</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.876811</td>\n",
       "      <td>-74.669278</td>\n",
       "      <td>115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Burlington, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34037.0</td>\n",
       "      <td>Sussex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.138916</td>\n",
       "      <td>-74.691182</td>\n",
       "      <td>81</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sussex, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34019.0</td>\n",
       "      <td>Hunterdon</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.563352</td>\n",
       "      <td>-74.912842</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hunterdon, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34041.0</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.859518</td>\n",
       "      <td>-74.995565</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34015.0</td>\n",
       "      <td>Gloucester</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.715811</td>\n",
       "      <td>-75.139955</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Gloucester, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34001.0</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.475387</td>\n",
       "      <td>-74.658485</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Atlantic, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34011.0</td>\n",
       "      <td>Cumberland</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.371994</td>\n",
       "      <td>-75.107126</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cumberland, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34009.0</td>\n",
       "      <td>Cape May</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.150088</td>\n",
       "      <td>-74.801702</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cape May, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>34033.0</td>\n",
       "      <td>Salem</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>39.587197</td>\n",
       "      <td>-75.346966</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Salem, New Jersey, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        FIPS      Admin2 Province_State Country_Region          Last_Update  \\\n",
       "NaN      NaN  Unassigned     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34003.0      Bergen     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34013.0       Essex     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34023.0   Middlesex     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34025.0    Monmouth     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34017.0      Hudson     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34039.0       Union     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34029.0       Ocean     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34031.0     Passaic     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34027.0      Morris     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34035.0    Somerset     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34021.0      Mercer     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34007.0      Camden     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34005.0  Burlington     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34037.0      Sussex     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34019.0   Hunterdon     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34041.0      Warren     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34015.0  Gloucester     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34001.0    Atlantic     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34011.0  Cumberland     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34009.0    Cape May     New Jersey             US  2020-03-28 23:05:37   \n",
       "NaN  34033.0       Salem     New Jersey             US  2020-03-28 23:05:37   \n",
       "\n",
       "           Lat      Long_  Confirmed  Deaths  Recovered  Active  \\\n",
       "NaN   0.000000   0.000000       2478      86          0       0   \n",
       "NaN  40.960109 -74.071643       1838      13          0       0   \n",
       "NaN  40.786813 -74.246580       1086       7          0       0   \n",
       "NaN  40.436299 -74.414270        808       4          0       0   \n",
       "NaN  40.265497 -74.222407        781       6          0       0   \n",
       "NaN  40.737662 -74.075157        771       4          0       0   \n",
       "NaN  40.658354 -74.306801        742       0          0       0   \n",
       "NaN  39.889545 -74.280893        624       4          0       0   \n",
       "NaN  41.032386 -74.299541        608       7          0       0   \n",
       "NaN  40.860953 -74.545537        442       3          0       0   \n",
       "NaN  40.564657 -74.616830        258       4          0       0   \n",
       "NaN  40.280470 -74.704796        168       0          0       0   \n",
       "NaN  39.803438 -74.963888        123       1          0       0   \n",
       "NaN  39.876811 -74.669278        115       0          0       0   \n",
       "NaN  41.138916 -74.691182         81       0          0       0   \n",
       "NaN  40.563352 -74.912842         61       0          0       0   \n",
       "NaN  40.859518 -74.995565         51       0          0       0   \n",
       "NaN  39.715811 -75.139955         51       1          0       0   \n",
       "NaN  39.475387 -74.658485         17       0          0       0   \n",
       "NaN  39.371994 -75.107126         11       0          0       0   \n",
       "NaN  39.150088 -74.801702          7       0          0       0   \n",
       "NaN  39.587197 -75.346966          3       0          0       0   \n",
       "\n",
       "                   Combined_Key  \n",
       "NaN  Unassigned, New Jersey, US  \n",
       "NaN      Bergen, New Jersey, US  \n",
       "NaN       Essex, New Jersey, US  \n",
       "NaN   Middlesex, New Jersey, US  \n",
       "NaN    Monmouth, New Jersey, US  \n",
       "NaN      Hudson, New Jersey, US  \n",
       "NaN       Union, New Jersey, US  \n",
       "NaN       Ocean, New Jersey, US  \n",
       "NaN     Passaic, New Jersey, US  \n",
       "NaN      Morris, New Jersey, US  \n",
       "NaN    Somerset, New Jersey, US  \n",
       "NaN      Mercer, New Jersey, US  \n",
       "NaN      Camden, New Jersey, US  \n",
       "NaN  Burlington, New Jersey, US  \n",
       "NaN      Sussex, New Jersey, US  \n",
       "NaN   Hunterdon, New Jersey, US  \n",
       "NaN      Warren, New Jersey, US  \n",
       "NaN  Gloucester, New Jersey, US  \n",
       "NaN    Atlantic, New Jersey, US  \n",
       "NaN  Cumberland, New Jersey, US  \n",
       "NaN    Cape May, New Jersey, US  \n",
       "NaN       Salem, New Jersey, US  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New Jersey'].sort_values(by='Confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Last_Update</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
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       "      <th>Combined_Key</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36123.0</td>\n",
       "      <td>Yates</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.635055</td>\n",
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       "      <td>36005.0</td>\n",
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       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.852093</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36081.0</td>\n",
       "      <td>Queens</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.710881</td>\n",
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       "      <td>Queens, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36099.0</td>\n",
       "      <td>Seneca</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.780810</td>\n",
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       "      <td>Seneca, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unassigned, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36049.0</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.784416</td>\n",
       "      <td>-75.449040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Lewis, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36047.0</td>\n",
       "      <td>Kings</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.636182</td>\n",
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       "      <td>Kings, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36085.0</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.585822</td>\n",
       "      <td>-74.148086</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Richmond, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36097.0</td>\n",
       "      <td>Schuyler</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.391840</td>\n",
       "      <td>-76.877330</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schuyler, New York, US</td>\n",
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       "      <th>NaN</th>\n",
       "      <td>36009.0</td>\n",
       "      <td>Cattaraugus</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.247782</td>\n",
       "      <td>-78.679231</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cattaraugus, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36035.0</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
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       "      <td>43.113639</td>\n",
       "      <td>-74.417988</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Fulton, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36003.0</td>\n",
       "      <td>Allegany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.257484</td>\n",
       "      <td>-78.027505</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Allegany, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36011.0</td>\n",
       "      <td>Cayuga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.912617</td>\n",
       "      <td>-76.557316</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cayuga, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36041.0</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.661466</td>\n",
       "      <td>-74.497220</td>\n",
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       "      <td>0</td>\n",
       "      <td>Hamilton, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36073.0</td>\n",
       "      <td>Orleans</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.251698</td>\n",
       "      <td>-78.232007</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orleans, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36033.0</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.590409</td>\n",
       "      <td>-74.299260</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Franklin, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36095.0</td>\n",
       "      <td>Schoharie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.588317</td>\n",
       "      <td>-74.443390</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schoharie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36013.0</td>\n",
       "      <td>Chautauqua</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.227692</td>\n",
       "      <td>-79.366918</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chautauqua, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36031.0</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.116308</td>\n",
       "      <td>-73.772978</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Essex, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36107.0</td>\n",
       "      <td>Tioga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.168528</td>\n",
       "      <td>-76.308358</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tioga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36045.0</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.042010</td>\n",
       "      <td>-75.946535</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Jefferson, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36057.0</td>\n",
       "      <td>Montgomery</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.901235</td>\n",
       "      <td>-74.440116</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montgomery, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36037.0</td>\n",
       "      <td>Genesee</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.002260</td>\n",
       "      <td>-78.191352</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Genesee, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36039.0</td>\n",
       "      <td>Greene</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.275797</td>\n",
       "      <td>-74.123849</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Greene, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36023.0</td>\n",
       "      <td>Cortland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.595092</td>\n",
       "      <td>-76.070489</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cortland, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36077.0</td>\n",
       "      <td>Otsego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.634926</td>\n",
       "      <td>-75.031514</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Otsego, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36121.0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.701451</td>\n",
       "      <td>-78.221996</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36025.0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.198376</td>\n",
       "      <td>-74.967093</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36017.0</td>\n",
       "      <td>Chenango</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.494300</td>\n",
       "      <td>-75.608876</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chenango, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36089.0</td>\n",
       "      <td>St. Lawrence</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.497618</td>\n",
       "      <td>-75.065500</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>St. Lawrence, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36075.0</td>\n",
       "      <td>Oswego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.427789</td>\n",
       "      <td>-76.146352</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oswego, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36115.0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.311538</td>\n",
       "      <td>-73.430434</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36043.0</td>\n",
       "      <td>Herkimer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.420342</td>\n",
       "      <td>-74.961453</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Herkimer, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36051.0</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.725963</td>\n",
       "      <td>-77.779662</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Livingston, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36015.0</td>\n",
       "      <td>Chemung</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.138911</td>\n",
       "      <td>-76.763880</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chemung, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36117.0</td>\n",
       "      <td>Wayne</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.154944</td>\n",
       "      <td>-77.029765</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wayne, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36019.0</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.745309</td>\n",
       "      <td>-73.678754</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clinton, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36101.0</td>\n",
       "      <td>Steuben</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.268914</td>\n",
       "      <td>-77.382992</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Steuben, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36113.0</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.561730</td>\n",
       "      <td>-73.843370</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36069.0</td>\n",
       "      <td>Ontario</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.851457</td>\n",
       "      <td>-77.308744</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ontario, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36065.0</td>\n",
       "      <td>Oneida</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.243754</td>\n",
       "      <td>-75.437104</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oneida, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36007.0</td>\n",
       "      <td>Broome</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.159032</td>\n",
       "      <td>-75.813261</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Broome, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36053.0</td>\n",
       "      <td>Madison</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.916539</td>\n",
       "      <td>-75.672666</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Madison, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36021.0</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.248193</td>\n",
       "      <td>-73.630891</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Columbia, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36063.0</td>\n",
       "      <td>Niagara</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.198980</td>\n",
       "      <td>-78.747774</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Niagara, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36109.0</td>\n",
       "      <td>Tompkins</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.449458</td>\n",
       "      <td>-76.472298</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tompkins, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36083.0</td>\n",
       "      <td>Rensselaer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.713481</td>\n",
       "      <td>-73.510899</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rensselaer, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36093.0</td>\n",
       "      <td>Schenectady</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.816688</td>\n",
       "      <td>-74.052783</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schenectady, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36105.0</td>\n",
       "      <td>Sullivan</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.715795</td>\n",
       "      <td>-74.763946</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sullivan, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36091.0</td>\n",
       "      <td>Saratoga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.109042</td>\n",
       "      <td>-73.866539</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Saratoga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36079.0</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.426301</td>\n",
       "      <td>-73.749655</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Putnam, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36111.0</td>\n",
       "      <td>Ulster</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.890279</td>\n",
       "      <td>-74.262521</td>\n",
       "      <td>133</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ulster, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36067.0</td>\n",
       "      <td>Onondaga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.004919</td>\n",
       "      <td>-76.199712</td>\n",
       "      <td>146</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Onondaga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36001.0</td>\n",
       "      <td>Albany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.600603</td>\n",
       "      <td>-73.977239</td>\n",
       "      <td>195</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Albany, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36055.0</td>\n",
       "      <td>Monroe</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.146389</td>\n",
       "      <td>-77.693229</td>\n",
       "      <td>202</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monroe, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36027.0</td>\n",
       "      <td>Dutchess</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.764861</td>\n",
       "      <td>-73.743567</td>\n",
       "      <td>262</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Dutchess, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36029.0</td>\n",
       "      <td>Erie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.762490</td>\n",
       "      <td>-78.730637</td>\n",
       "      <td>318</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Erie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36071.0</td>\n",
       "      <td>Orange</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.403375</td>\n",
       "      <td>-74.302408</td>\n",
       "      <td>1101</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orange, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36087.0</td>\n",
       "      <td>Rockland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.150279</td>\n",
       "      <td>-74.025605</td>\n",
       "      <td>1896</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rockland, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36103.0</td>\n",
       "      <td>Suffolk</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.883201</td>\n",
       "      <td>-72.801217</td>\n",
       "      <td>4138</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Suffolk, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36059.0</td>\n",
       "      <td>Nassau</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.740665</td>\n",
       "      <td>-73.589419</td>\n",
       "      <td>5537</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nassau, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36119.0</td>\n",
       "      <td>Westchester</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.162784</td>\n",
       "      <td>-73.757417</td>\n",
       "      <td>7875</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Westchester, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36061.0</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.767273</td>\n",
       "      <td>-73.971526</td>\n",
       "      <td>29776</td>\n",
       "      <td>517</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York City, New York, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        FIPS         Admin2 Province_State Country_Region  \\\n",
       "NaN  36123.0          Yates       New York             US   \n",
       "NaN  36005.0          Bronx       New York             US   \n",
       "NaN  36081.0         Queens       New York             US   \n",
       "NaN  36099.0         Seneca       New York             US   \n",
       "NaN      NaN     Unassigned       New York             US   \n",
       "NaN  36049.0          Lewis       New York             US   \n",
       "NaN  36047.0          Kings       New York             US   \n",
       "NaN  36085.0       Richmond       New York             US   \n",
       "NaN  36097.0       Schuyler       New York             US   \n",
       "NaN  36009.0    Cattaraugus       New York             US   \n",
       "NaN  36035.0         Fulton       New York             US   \n",
       "NaN  36003.0       Allegany       New York             US   \n",
       "NaN  36011.0         Cayuga       New York             US   \n",
       "NaN  36041.0       Hamilton       New York             US   \n",
       "NaN  36073.0        Orleans       New York             US   \n",
       "NaN  36033.0       Franklin       New York             US   \n",
       "NaN  36095.0      Schoharie       New York             US   \n",
       "NaN  36013.0     Chautauqua       New York             US   \n",
       "NaN  36031.0          Essex       New York             US   \n",
       "NaN  36107.0          Tioga       New York             US   \n",
       "NaN  36045.0      Jefferson       New York             US   \n",
       "NaN  36057.0     Montgomery       New York             US   \n",
       "NaN  36037.0        Genesee       New York             US   \n",
       "NaN  36039.0         Greene       New York             US   \n",
       "NaN  36023.0       Cortland       New York             US   \n",
       "NaN  36077.0         Otsego       New York             US   \n",
       "NaN  36121.0        Wyoming       New York             US   \n",
       "NaN  36025.0       Delaware       New York             US   \n",
       "NaN  36017.0       Chenango       New York             US   \n",
       "NaN  36089.0   St. Lawrence       New York             US   \n",
       "NaN  36075.0         Oswego       New York             US   \n",
       "NaN  36115.0     Washington       New York             US   \n",
       "NaN  36043.0       Herkimer       New York             US   \n",
       "NaN  36051.0     Livingston       New York             US   \n",
       "NaN  36015.0        Chemung       New York             US   \n",
       "NaN  36117.0          Wayne       New York             US   \n",
       "NaN  36019.0        Clinton       New York             US   \n",
       "NaN  36101.0        Steuben       New York             US   \n",
       "NaN  36113.0         Warren       New York             US   \n",
       "NaN  36069.0        Ontario       New York             US   \n",
       "NaN  36065.0         Oneida       New York             US   \n",
       "NaN  36007.0         Broome       New York             US   \n",
       "NaN  36053.0        Madison       New York             US   \n",
       "NaN  36021.0       Columbia       New York             US   \n",
       "NaN  36063.0        Niagara       New York             US   \n",
       "NaN  36109.0       Tompkins       New York             US   \n",
       "NaN  36083.0     Rensselaer       New York             US   \n",
       "NaN  36093.0    Schenectady       New York             US   \n",
       "NaN  36105.0       Sullivan       New York             US   \n",
       "NaN  36091.0       Saratoga       New York             US   \n",
       "NaN  36079.0         Putnam       New York             US   \n",
       "NaN  36111.0         Ulster       New York             US   \n",
       "NaN  36067.0       Onondaga       New York             US   \n",
       "NaN  36001.0         Albany       New York             US   \n",
       "NaN  36055.0         Monroe       New York             US   \n",
       "NaN  36027.0       Dutchess       New York             US   \n",
       "NaN  36029.0           Erie       New York             US   \n",
       "NaN  36071.0         Orange       New York             US   \n",
       "NaN  36087.0       Rockland       New York             US   \n",
       "NaN  36103.0        Suffolk       New York             US   \n",
       "NaN  36059.0         Nassau       New York             US   \n",
       "NaN  36119.0    Westchester       New York             US   \n",
       "NaN  36061.0  New York City       New York             US   \n",
       "\n",
       "             Last_Update        Lat      Long_  Confirmed  Deaths  Recovered  \\\n",
       "NaN  2020-03-28 23:05:37  42.635055 -77.103699          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.852093 -73.862828          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.710881 -73.816847          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.780810 -76.824971          0       0          0   \n",
       "NaN  2020-03-28 23:05:37   0.000000   0.000000          0     109          0   \n",
       "NaN  2020-03-28 23:05:37  43.784416 -75.449040          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.636182 -73.949356          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.585822 -74.148086          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.391840 -76.877330          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.247782 -78.679231          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.113639 -74.417988          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.257484 -78.027505          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.912617 -76.557316          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.661466 -74.497220          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.251698 -78.232007          3       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.590409 -74.299260          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.588317 -74.443390          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.227692 -79.366918          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.116308 -73.772978          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.168528 -76.308358          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.042010 -75.946535          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.901235 -74.440116          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.002260 -78.191352          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.275797 -74.123849          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.595092 -76.070489          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.634926 -75.031514          7       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.701451 -78.221996          7       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.198376 -74.967093          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.494300 -75.608876          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.497618 -75.065500          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.427789 -76.146352          9       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.311538 -73.430434          9       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.420342 -74.961453          9       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.725963 -77.779662         10       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.138911 -76.763880         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.154944 -77.029765         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.745309 -73.678754         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.268914 -77.382992         13       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.561730 -73.843370         13       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.851457 -77.308744         16       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.243754 -75.437104         23       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.159032 -75.813261         23       3          0   \n",
       "NaN  2020-03-28 23:05:37  42.916539 -75.672666         28       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.248193 -73.630891         30       1          0   \n",
       "NaN  2020-03-28 23:05:37  43.198980 -78.747774         33       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.449458 -76.472298         48       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.713481 -73.510899         51       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.816688 -74.052783         72       1          0   \n",
       "NaN  2020-03-28 23:05:37  41.715795 -74.763946         72       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.109042 -73.866539         96       0          0   \n",
       "NaN  2020-03-28 23:05:37  41.426301 -73.749655        131       0          0   \n",
       "NaN  2020-03-28 23:05:37  41.890279 -74.262521        133       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.004919 -76.199712        146       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.600603 -73.977239        195       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.146389 -77.693229        202       5          0   \n",
       "NaN  2020-03-28 23:05:37  41.764861 -73.743567        262       2          0   \n",
       "NaN  2020-03-28 23:05:37  42.762490 -78.730637        318       6          0   \n",
       "NaN  2020-03-28 23:05:37  41.403375 -74.302408       1101       4          0   \n",
       "NaN  2020-03-28 23:05:37  41.150279 -74.025605       1896       8          0   \n",
       "NaN  2020-03-28 23:05:37  40.883201 -72.801217       4138      30          0   \n",
       "NaN  2020-03-28 23:05:37  40.740665 -73.589419       5537      27          0   \n",
       "NaN  2020-03-28 23:05:37  41.162784 -73.757417       7875      10          0   \n",
       "NaN  2020-03-28 23:05:37  40.767273 -73.971526      29776     517          0   \n",
       "\n",
       "     Active                 Combined_Key  \n",
       "NaN       0          Yates, New York, US  \n",
       "NaN       0          Bronx, New York, US  \n",
       "NaN       0         Queens, New York, US  \n",
       "NaN       0         Seneca, New York, US  \n",
       "NaN       0     Unassigned, New York, US  \n",
       "NaN       0          Lewis, New York, US  \n",
       "NaN       0          Kings, New York, US  \n",
       "NaN       0       Richmond, New York, US  \n",
       "NaN       0       Schuyler, New York, US  \n",
       "NaN       0    Cattaraugus, New York, US  \n",
       "NaN       0         Fulton, New York, US  \n",
       "NaN       0       Allegany, New York, US  \n",
       "NaN       0         Cayuga, New York, US  \n",
       "NaN       0       Hamilton, New York, US  \n",
       "NaN       0        Orleans, New York, US  \n",
       "NaN       0       Franklin, New York, US  \n",
       "NaN       0      Schoharie, New York, US  \n",
       "NaN       0     Chautauqua, New York, US  \n",
       "NaN       0          Essex, New York, US  \n",
       "NaN       0          Tioga, New York, US  \n",
       "NaN       0      Jefferson, New York, US  \n",
       "NaN       0     Montgomery, New York, US  \n",
       "NaN       0        Genesee, New York, US  \n",
       "NaN       0         Greene, New York, US  \n",
       "NaN       0       Cortland, New York, US  \n",
       "NaN       0         Otsego, New York, US  \n",
       "NaN       0        Wyoming, New York, US  \n",
       "NaN       0       Delaware, New York, US  \n",
       "NaN       0       Chenango, New York, US  \n",
       "NaN       0   St. Lawrence, New York, US  \n",
       "NaN       0         Oswego, New York, US  \n",
       "NaN       0     Washington, New York, US  \n",
       "NaN       0       Herkimer, New York, US  \n",
       "NaN       0     Livingston, New York, US  \n",
       "NaN       0        Chemung, New York, US  \n",
       "NaN       0          Wayne, New York, US  \n",
       "NaN       0        Clinton, New York, US  \n",
       "NaN       0        Steuben, New York, US  \n",
       "NaN       0         Warren, New York, US  \n",
       "NaN       0        Ontario, New York, US  \n",
       "NaN       0         Oneida, New York, US  \n",
       "NaN       0         Broome, New York, US  \n",
       "NaN       0        Madison, New York, US  \n",
       "NaN       0       Columbia, New York, US  \n",
       "NaN       0        Niagara, New York, US  \n",
       "NaN       0       Tompkins, New York, US  \n",
       "NaN       0     Rensselaer, New York, US  \n",
       "NaN       0    Schenectady, New York, US  \n",
       "NaN       0       Sullivan, New York, US  \n",
       "NaN       0       Saratoga, New York, US  \n",
       "NaN       0         Putnam, New York, US  \n",
       "NaN       0         Ulster, New York, US  \n",
       "NaN       0       Onondaga, New York, US  \n",
       "NaN       0         Albany, New York, US  \n",
       "NaN       0         Monroe, New York, US  \n",
       "NaN       0       Dutchess, New York, US  \n",
       "NaN       0           Erie, New York, US  \n",
       "NaN       0         Orange, New York, US  \n",
       "NaN       0       Rockland, New York, US  \n",
       "NaN       0        Suffolk, New York, US  \n",
       "NaN       0         Nassau, New York, US  \n",
       "NaN       0    Westchester, New York, US  \n",
       "NaN       0  New York City, New York, US  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New York'].sort_values(by='Confirmed')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Last_Update</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>Combined_Key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36123.0</td>\n",
       "      <td>Yates</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.635055</td>\n",
       "      <td>-77.103699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Yates, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36005.0</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.852093</td>\n",
       "      <td>-73.862828</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Bronx, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36081.0</td>\n",
       "      <td>Queens</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.710881</td>\n",
       "      <td>-73.816847</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Queens, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36099.0</td>\n",
       "      <td>Seneca</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.780810</td>\n",
       "      <td>-76.824971</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Seneca, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unassigned, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36049.0</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.784416</td>\n",
       "      <td>-75.449040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Lewis, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36047.0</td>\n",
       "      <td>Kings</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.636182</td>\n",
       "      <td>-73.949356</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36085.0</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.585822</td>\n",
       "      <td>-74.148086</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Richmond, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36097.0</td>\n",
       "      <td>Schuyler</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.391840</td>\n",
       "      <td>-76.877330</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schuyler, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36009.0</td>\n",
       "      <td>Cattaraugus</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.247782</td>\n",
       "      <td>-78.679231</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cattaraugus, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36035.0</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.113639</td>\n",
       "      <td>-74.417988</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Fulton, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36003.0</td>\n",
       "      <td>Allegany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.257484</td>\n",
       "      <td>-78.027505</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Allegany, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36011.0</td>\n",
       "      <td>Cayuga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.912617</td>\n",
       "      <td>-76.557316</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cayuga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36041.0</td>\n",
       "      <td>Hamilton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.661466</td>\n",
       "      <td>-74.497220</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hamilton, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36073.0</td>\n",
       "      <td>Orleans</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.251698</td>\n",
       "      <td>-78.232007</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orleans, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36033.0</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.590409</td>\n",
       "      <td>-74.299260</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Franklin, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36095.0</td>\n",
       "      <td>Schoharie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.588317</td>\n",
       "      <td>-74.443390</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schoharie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36013.0</td>\n",
       "      <td>Chautauqua</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.227692</td>\n",
       "      <td>-79.366918</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chautauqua, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36031.0</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.116308</td>\n",
       "      <td>-73.772978</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Essex, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36107.0</td>\n",
       "      <td>Tioga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.168528</td>\n",
       "      <td>-76.308358</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tioga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36045.0</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.042010</td>\n",
       "      <td>-75.946535</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Jefferson, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36057.0</td>\n",
       "      <td>Montgomery</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.901235</td>\n",
       "      <td>-74.440116</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montgomery, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36037.0</td>\n",
       "      <td>Genesee</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.002260</td>\n",
       "      <td>-78.191352</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Genesee, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36039.0</td>\n",
       "      <td>Greene</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.275797</td>\n",
       "      <td>-74.123849</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Greene, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36023.0</td>\n",
       "      <td>Cortland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.595092</td>\n",
       "      <td>-76.070489</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cortland, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36077.0</td>\n",
       "      <td>Otsego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.634926</td>\n",
       "      <td>-75.031514</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Otsego, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36121.0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.701451</td>\n",
       "      <td>-78.221996</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36025.0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.198376</td>\n",
       "      <td>-74.967093</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36017.0</td>\n",
       "      <td>Chenango</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.494300</td>\n",
       "      <td>-75.608876</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chenango, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36089.0</td>\n",
       "      <td>St. Lawrence</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.497618</td>\n",
       "      <td>-75.065500</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>St. Lawrence, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36075.0</td>\n",
       "      <td>Oswego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.427789</td>\n",
       "      <td>-76.146352</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oswego, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36115.0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.311538</td>\n",
       "      <td>-73.430434</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36043.0</td>\n",
       "      <td>Herkimer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.420342</td>\n",
       "      <td>-74.961453</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Herkimer, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36051.0</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.725963</td>\n",
       "      <td>-77.779662</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Livingston, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36015.0</td>\n",
       "      <td>Chemung</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.138911</td>\n",
       "      <td>-76.763880</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chemung, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36117.0</td>\n",
       "      <td>Wayne</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.154944</td>\n",
       "      <td>-77.029765</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wayne, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36019.0</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>44.745309</td>\n",
       "      <td>-73.678754</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clinton, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36101.0</td>\n",
       "      <td>Steuben</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.268914</td>\n",
       "      <td>-77.382992</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Steuben, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36113.0</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.561730</td>\n",
       "      <td>-73.843370</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36069.0</td>\n",
       "      <td>Ontario</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.851457</td>\n",
       "      <td>-77.308744</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ontario, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36065.0</td>\n",
       "      <td>Oneida</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.243754</td>\n",
       "      <td>-75.437104</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oneida, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36007.0</td>\n",
       "      <td>Broome</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.159032</td>\n",
       "      <td>-75.813261</td>\n",
       "      <td>23</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Broome, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36053.0</td>\n",
       "      <td>Madison</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.916539</td>\n",
       "      <td>-75.672666</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Madison, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36021.0</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.248193</td>\n",
       "      <td>-73.630891</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Columbia, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36063.0</td>\n",
       "      <td>Niagara</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.198980</td>\n",
       "      <td>-78.747774</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Niagara, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36109.0</td>\n",
       "      <td>Tompkins</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.449458</td>\n",
       "      <td>-76.472298</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tompkins, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36083.0</td>\n",
       "      <td>Rensselaer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.713481</td>\n",
       "      <td>-73.510899</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rensselaer, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36093.0</td>\n",
       "      <td>Schenectady</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.816688</td>\n",
       "      <td>-74.052783</td>\n",
       "      <td>72</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Schenectady, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36105.0</td>\n",
       "      <td>Sullivan</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.715795</td>\n",
       "      <td>-74.763946</td>\n",
       "      <td>72</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sullivan, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36091.0</td>\n",
       "      <td>Saratoga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.109042</td>\n",
       "      <td>-73.866539</td>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Saratoga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36079.0</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.426301</td>\n",
       "      <td>-73.749655</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Putnam, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36111.0</td>\n",
       "      <td>Ulster</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.890279</td>\n",
       "      <td>-74.262521</td>\n",
       "      <td>133</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ulster, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36067.0</td>\n",
       "      <td>Onondaga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.004919</td>\n",
       "      <td>-76.199712</td>\n",
       "      <td>146</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Onondaga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36001.0</td>\n",
       "      <td>Albany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.600603</td>\n",
       "      <td>-73.977239</td>\n",
       "      <td>195</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Albany, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36055.0</td>\n",
       "      <td>Monroe</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>43.146389</td>\n",
       "      <td>-77.693229</td>\n",
       "      <td>202</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monroe, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36027.0</td>\n",
       "      <td>Dutchess</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.764861</td>\n",
       "      <td>-73.743567</td>\n",
       "      <td>262</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Dutchess, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36029.0</td>\n",
       "      <td>Erie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>42.762490</td>\n",
       "      <td>-78.730637</td>\n",
       "      <td>318</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Erie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36071.0</td>\n",
       "      <td>Orange</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.403375</td>\n",
       "      <td>-74.302408</td>\n",
       "      <td>1101</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orange, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36087.0</td>\n",
       "      <td>Rockland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.150279</td>\n",
       "      <td>-74.025605</td>\n",
       "      <td>1896</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rockland, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36103.0</td>\n",
       "      <td>Suffolk</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.883201</td>\n",
       "      <td>-72.801217</td>\n",
       "      <td>4138</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Suffolk, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36059.0</td>\n",
       "      <td>Nassau</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.740665</td>\n",
       "      <td>-73.589419</td>\n",
       "      <td>5537</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nassau, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36119.0</td>\n",
       "      <td>Westchester</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>41.162784</td>\n",
       "      <td>-73.757417</td>\n",
       "      <td>7875</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Westchester, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>36061.0</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-28 23:05:37</td>\n",
       "      <td>40.767273</td>\n",
       "      <td>-73.971526</td>\n",
       "      <td>29776</td>\n",
       "      <td>517</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York City, New York, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        FIPS         Admin2 Province_State Country_Region  \\\n",
       "NaN  36123.0          Yates       New York             US   \n",
       "NaN  36005.0          Bronx       New York             US   \n",
       "NaN  36081.0         Queens       New York             US   \n",
       "NaN  36099.0         Seneca       New York             US   \n",
       "NaN      NaN     Unassigned       New York             US   \n",
       "NaN  36049.0          Lewis       New York             US   \n",
       "NaN  36047.0          Kings       New York             US   \n",
       "NaN  36085.0       Richmond       New York             US   \n",
       "NaN  36097.0       Schuyler       New York             US   \n",
       "NaN  36009.0    Cattaraugus       New York             US   \n",
       "NaN  36035.0         Fulton       New York             US   \n",
       "NaN  36003.0       Allegany       New York             US   \n",
       "NaN  36011.0         Cayuga       New York             US   \n",
       "NaN  36041.0       Hamilton       New York             US   \n",
       "NaN  36073.0        Orleans       New York             US   \n",
       "NaN  36033.0       Franklin       New York             US   \n",
       "NaN  36095.0      Schoharie       New York             US   \n",
       "NaN  36013.0     Chautauqua       New York             US   \n",
       "NaN  36031.0          Essex       New York             US   \n",
       "NaN  36107.0          Tioga       New York             US   \n",
       "NaN  36045.0      Jefferson       New York             US   \n",
       "NaN  36057.0     Montgomery       New York             US   \n",
       "NaN  36037.0        Genesee       New York             US   \n",
       "NaN  36039.0         Greene       New York             US   \n",
       "NaN  36023.0       Cortland       New York             US   \n",
       "NaN  36077.0         Otsego       New York             US   \n",
       "NaN  36121.0        Wyoming       New York             US   \n",
       "NaN  36025.0       Delaware       New York             US   \n",
       "NaN  36017.0       Chenango       New York             US   \n",
       "NaN  36089.0   St. Lawrence       New York             US   \n",
       "NaN  36075.0         Oswego       New York             US   \n",
       "NaN  36115.0     Washington       New York             US   \n",
       "NaN  36043.0       Herkimer       New York             US   \n",
       "NaN  36051.0     Livingston       New York             US   \n",
       "NaN  36015.0        Chemung       New York             US   \n",
       "NaN  36117.0          Wayne       New York             US   \n",
       "NaN  36019.0        Clinton       New York             US   \n",
       "NaN  36101.0        Steuben       New York             US   \n",
       "NaN  36113.0         Warren       New York             US   \n",
       "NaN  36069.0        Ontario       New York             US   \n",
       "NaN  36065.0         Oneida       New York             US   \n",
       "NaN  36007.0         Broome       New York             US   \n",
       "NaN  36053.0        Madison       New York             US   \n",
       "NaN  36021.0       Columbia       New York             US   \n",
       "NaN  36063.0        Niagara       New York             US   \n",
       "NaN  36109.0       Tompkins       New York             US   \n",
       "NaN  36083.0     Rensselaer       New York             US   \n",
       "NaN  36093.0    Schenectady       New York             US   \n",
       "NaN  36105.0       Sullivan       New York             US   \n",
       "NaN  36091.0       Saratoga       New York             US   \n",
       "NaN  36079.0         Putnam       New York             US   \n",
       "NaN  36111.0         Ulster       New York             US   \n",
       "NaN  36067.0       Onondaga       New York             US   \n",
       "NaN  36001.0         Albany       New York             US   \n",
       "NaN  36055.0         Monroe       New York             US   \n",
       "NaN  36027.0       Dutchess       New York             US   \n",
       "NaN  36029.0           Erie       New York             US   \n",
       "NaN  36071.0         Orange       New York             US   \n",
       "NaN  36087.0       Rockland       New York             US   \n",
       "NaN  36103.0        Suffolk       New York             US   \n",
       "NaN  36059.0         Nassau       New York             US   \n",
       "NaN  36119.0    Westchester       New York             US   \n",
       "NaN  36061.0  New York City       New York             US   \n",
       "\n",
       "             Last_Update        Lat      Long_  Confirmed  Deaths  Recovered  \\\n",
       "NaN  2020-03-28 23:05:37  42.635055 -77.103699          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.852093 -73.862828          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.710881 -73.816847          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.780810 -76.824971          0       0          0   \n",
       "NaN  2020-03-28 23:05:37   0.000000   0.000000          0     109          0   \n",
       "NaN  2020-03-28 23:05:37  43.784416 -75.449040          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.636182 -73.949356          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  40.585822 -74.148086          0       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.391840 -76.877330          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.247782 -78.679231          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.113639 -74.417988          1       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.257484 -78.027505          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.912617 -76.557316          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.661466 -74.497220          2       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.251698 -78.232007          3       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.590409 -74.299260          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.588317 -74.443390          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.227692 -79.366918          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.116308 -73.772978          5       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.168528 -76.308358          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.042010 -75.946535          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.901235 -74.440116          6       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.002260 -78.191352          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.275797 -74.123849          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.595092 -76.070489          7       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.634926 -75.031514          7       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.701451 -78.221996          7       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.198376 -74.967093          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.494300 -75.608876          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.497618 -75.065500          8       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.427789 -76.146352          9       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.311538 -73.430434          9       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.420342 -74.961453          9       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.725963 -77.779662         10       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.138911 -76.763880         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.154944 -77.029765         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  44.745309 -73.678754         12       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.268914 -77.382992         13       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.561730 -73.843370         13       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.851457 -77.308744         16       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.243754 -75.437104         23       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.159032 -75.813261         23       3          0   \n",
       "NaN  2020-03-28 23:05:37  42.916539 -75.672666         28       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.248193 -73.630891         30       1          0   \n",
       "NaN  2020-03-28 23:05:37  43.198980 -78.747774         33       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.449458 -76.472298         48       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.713481 -73.510899         51       0          0   \n",
       "NaN  2020-03-28 23:05:37  42.816688 -74.052783         72       1          0   \n",
       "NaN  2020-03-28 23:05:37  41.715795 -74.763946         72       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.109042 -73.866539         96       0          0   \n",
       "NaN  2020-03-28 23:05:37  41.426301 -73.749655        131       0          0   \n",
       "NaN  2020-03-28 23:05:37  41.890279 -74.262521        133       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.004919 -76.199712        146       1          0   \n",
       "NaN  2020-03-28 23:05:37  42.600603 -73.977239        195       0          0   \n",
       "NaN  2020-03-28 23:05:37  43.146389 -77.693229        202       5          0   \n",
       "NaN  2020-03-28 23:05:37  41.764861 -73.743567        262       2          0   \n",
       "NaN  2020-03-28 23:05:37  42.762490 -78.730637        318       6          0   \n",
       "NaN  2020-03-28 23:05:37  41.403375 -74.302408       1101       4          0   \n",
       "NaN  2020-03-28 23:05:37  41.150279 -74.025605       1896       8          0   \n",
       "NaN  2020-03-28 23:05:37  40.883201 -72.801217       4138      30          0   \n",
       "NaN  2020-03-28 23:05:37  40.740665 -73.589419       5537      27          0   \n",
       "NaN  2020-03-28 23:05:37  41.162784 -73.757417       7875      10          0   \n",
       "NaN  2020-03-28 23:05:37  40.767273 -73.971526      29776     517          0   \n",
       "\n",
       "     Active                 Combined_Key  \n",
       "NaN       0          Yates, New York, US  \n",
       "NaN       0          Bronx, New York, US  \n",
       "NaN       0         Queens, New York, US  \n",
       "NaN       0         Seneca, New York, US  \n",
       "NaN       0     Unassigned, New York, US  \n",
       "NaN       0          Lewis, New York, US  \n",
       "NaN       0          Kings, New York, US  \n",
       "NaN       0       Richmond, New York, US  \n",
       "NaN       0       Schuyler, New York, US  \n",
       "NaN       0    Cattaraugus, New York, US  \n",
       "NaN       0         Fulton, New York, US  \n",
       "NaN       0       Allegany, New York, US  \n",
       "NaN       0         Cayuga, New York, US  \n",
       "NaN       0       Hamilton, New York, US  \n",
       "NaN       0        Orleans, New York, US  \n",
       "NaN       0       Franklin, New York, US  \n",
       "NaN       0      Schoharie, New York, US  \n",
       "NaN       0     Chautauqua, New York, US  \n",
       "NaN       0          Essex, New York, US  \n",
       "NaN       0          Tioga, New York, US  \n",
       "NaN       0      Jefferson, New York, US  \n",
       "NaN       0     Montgomery, New York, US  \n",
       "NaN       0        Genesee, New York, US  \n",
       "NaN       0         Greene, New York, US  \n",
       "NaN       0       Cortland, New York, US  \n",
       "NaN       0         Otsego, New York, US  \n",
       "NaN       0        Wyoming, New York, US  \n",
       "NaN       0       Delaware, New York, US  \n",
       "NaN       0       Chenango, New York, US  \n",
       "NaN       0   St. Lawrence, New York, US  \n",
       "NaN       0         Oswego, New York, US  \n",
       "NaN       0     Washington, New York, US  \n",
       "NaN       0       Herkimer, New York, US  \n",
       "NaN       0     Livingston, New York, US  \n",
       "NaN       0        Chemung, New York, US  \n",
       "NaN       0          Wayne, New York, US  \n",
       "NaN       0        Clinton, New York, US  \n",
       "NaN       0        Steuben, New York, US  \n",
       "NaN       0         Warren, New York, US  \n",
       "NaN       0        Ontario, New York, US  \n",
       "NaN       0         Oneida, New York, US  \n",
       "NaN       0         Broome, New York, US  \n",
       "NaN       0        Madison, New York, US  \n",
       "NaN       0       Columbia, New York, US  \n",
       "NaN       0        Niagara, New York, US  \n",
       "NaN       0       Tompkins, New York, US  \n",
       "NaN       0     Rensselaer, New York, US  \n",
       "NaN       0    Schenectady, New York, US  \n",
       "NaN       0       Sullivan, New York, US  \n",
       "NaN       0       Saratoga, New York, US  \n",
       "NaN       0         Putnam, New York, US  \n",
       "NaN       0         Ulster, New York, US  \n",
       "NaN       0       Onondaga, New York, US  \n",
       "NaN       0         Albany, New York, US  \n",
       "NaN       0         Monroe, New York, US  \n",
       "NaN       0       Dutchess, New York, US  \n",
       "NaN       0           Erie, New York, US  \n",
       "NaN       0         Orange, New York, US  \n",
       "NaN       0       Rockland, New York, US  \n",
       "NaN       0        Suffolk, New York, US  \n",
       "NaN       0         Nassau, New York, US  \n",
       "NaN       0    Westchester, New York, US  \n",
       "NaN       0  New York City, New York, US  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New York'].sort_values(by='Confirmed')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SUMLEV</th>\n",
       "      <th>REGION</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>STATE</th>\n",
       "      <th>NAME</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "      <th>POPEST18PLUS2019</th>\n",
       "      <th>PCNT_POPEST18PLUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>United States</td>\n",
       "      <td>328239523</td>\n",
       "      <td>255200373</td>\n",
       "      <td>77.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>30617582</td>\n",
       "      <td>77.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>21596071</td>\n",
       "      <td>74.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>17247808</td>\n",
       "      <td>80.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>36</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>15425262</td>\n",
       "      <td>79.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>10167376</td>\n",
       "      <td>79.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>17</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>9853946</td>\n",
       "      <td>77.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>9111081</td>\n",
       "      <td>77.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>8113542</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>40</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>37</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>8187369</td>\n",
       "      <td>78.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    SUMLEV REGION DIVISION  STATE            NAME  POPESTIMATE2019  \\\n",
       "0       10      0        0      0   United States        328239523   \n",
       "5       40      4        9      6      California         39512223   \n",
       "44      40      3        7     48           Texas         28995881   \n",
       "10      40      3        5     12         Florida         21477737   \n",
       "33      40      1        2     36        New York         19453561   \n",
       "39      40      1        2     42    Pennsylvania         12801989   \n",
       "14      40      2        3     17        Illinois         12671821   \n",
       "36      40      2        3     39            Ohio         11689100   \n",
       "11      40      3        5     13         Georgia         10617423   \n",
       "34      40      3        5     37  North Carolina         10488084   \n",
       "\n",
       "    POPEST18PLUS2019  PCNT_POPEST18PLUS  \n",
       "0          255200373               77.7  \n",
       "5           30617582               77.5  \n",
       "44          21596071               74.5  \n",
       "10          17247808               80.3  \n",
       "33          15425262               79.3  \n",
       "39          10167376               79.4  \n",
       "14           9853946               77.8  \n",
       "36           9111081               77.9  \n",
       "11           8113542               76.4  \n",
       "34           8187369               78.1  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population = pd.read_csv('data/SCPRC-EST2019-18+POP-RES.csv')\n",
    "population.sort_values(by='POPESTIMATE2019', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>tot_sq_mi</th>\n",
       "      <th>tot_sq_km</th>\n",
       "      <th>land_sq_mi</th>\n",
       "      <th>land_sq_km</th>\n",
       "      <th>water_sq_mi</th>\n",
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       "      <th>gl_sq_mi</th>\n",
       "      <th>gl_sq_km</th>\n",
       "      <th>terr_sq_mi</th>\n",
       "      <th>terr_sq_km</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
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       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>3,796,742</td>\n",
       "      <td>9,833,517</td>\n",
       "      <td>3,531,905</td>\n",
       "      <td>9,147,593</td>\n",
       "      <td>264,837</td>\n",
       "      <td>685,924</td>\n",
       "      <td>85,647</td>\n",
       "      <td>221,824</td>\n",
       "      <td>42,337</td>\n",
       "      <td>109,652</td>\n",
       "      <td>60,094</td>\n",
       "      <td>155,643</td>\n",
       "      <td>76,759</td>\n",
       "      <td>198,806</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>52,420</td>\n",
       "      <td>135,767</td>\n",
       "      <td>50,645</td>\n",
       "      <td>131,171</td>\n",
       "      <td>1,775</td>\n",
       "      <td>4,597</td>\n",
       "      <td>1,058</td>\n",
       "      <td>2,740</td>\n",
       "      <td>517</td>\n",
       "      <td>1,340</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>199</td>\n",
       "      <td>516</td>\n",
       "      <td>32.739632</td>\n",
       "      <td>-86.843459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>665,384</td>\n",
       "      <td>1,723,337</td>\n",
       "      <td>570,641</td>\n",
       "      <td>1,477,953</td>\n",
       "      <td>94,743</td>\n",
       "      <td>245,383</td>\n",
       "      <td>19,304</td>\n",
       "      <td>49,997</td>\n",
       "      <td>26,119</td>\n",
       "      <td>67,647</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>49,320</td>\n",
       "      <td>127,739</td>\n",
       "      <td>63.346191</td>\n",
       "      <td>-152.837068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>113,990</td>\n",
       "      <td>295,234</td>\n",
       "      <td>113,594</td>\n",
       "      <td>294,207</td>\n",
       "      <td>396</td>\n",
       "      <td>1,026</td>\n",
       "      <td>396</td>\n",
       "      <td>1,026</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>34.209964</td>\n",
       "      <td>-111.602401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>53,179</td>\n",
       "      <td>137,732</td>\n",
       "      <td>52,035</td>\n",
       "      <td>134,771</td>\n",
       "      <td>1,143</td>\n",
       "      <td>2,961</td>\n",
       "      <td>1,143</td>\n",
       "      <td>2,961</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>34.895526</td>\n",
       "      <td>-92.444626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>California</td>\n",
       "      <td>163,695</td>\n",
       "      <td>423,967</td>\n",
       "      <td>155,779</td>\n",
       "      <td>403,466</td>\n",
       "      <td>7,916</td>\n",
       "      <td>20,501</td>\n",
       "      <td>2,833</td>\n",
       "      <td>7,339</td>\n",
       "      <td>245</td>\n",
       "      <td>634</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>4,837</td>\n",
       "      <td>12,528</td>\n",
       "      <td>37.148573</td>\n",
       "      <td>-119.540651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Colorado</td>\n",
       "      <td>104,094</td>\n",
       "      <td>269,601</td>\n",
       "      <td>103,642</td>\n",
       "      <td>268,431</td>\n",
       "      <td>452</td>\n",
       "      <td>1,170</td>\n",
       "      <td>452</td>\n",
       "      <td>1,170</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>38.993575</td>\n",
       "      <td>-105.507774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Connecticut</td>\n",
       "      <td>5,543</td>\n",
       "      <td>14,357</td>\n",
       "      <td>4,842</td>\n",
       "      <td>12,542</td>\n",
       "      <td>701</td>\n",
       "      <td>1,816</td>\n",
       "      <td>171</td>\n",
       "      <td>443</td>\n",
       "      <td>530</td>\n",
       "      <td>1,372</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>41.579784</td>\n",
       "      <td>-72.746667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Delaware</td>\n",
       "      <td>2,489</td>\n",
       "      <td>6,446</td>\n",
       "      <td>1,949</td>\n",
       "      <td>5,047</td>\n",
       "      <td>540</td>\n",
       "      <td>1,399</td>\n",
       "      <td>91</td>\n",
       "      <td>237</td>\n",
       "      <td>355</td>\n",
       "      <td>920</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>94</td>\n",
       "      <td>242</td>\n",
       "      <td>38.993550</td>\n",
       "      <td>-75.447374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>68</td>\n",
       "      <td>177</td>\n",
       "      <td>61</td>\n",
       "      <td>158</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>19</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>—</td>\n",
       "      <td>38.904148</td>\n",
       "      <td>-77.017094</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  State  tot_sq_mi  tot_sq_km land_sq_mi land_sq_km  \\\n",
       "0         United States  3,796,742  9,833,517  3,531,905  9,147,593   \n",
       "1               Alabama     52,420    135,767     50,645    131,171   \n",
       "2                Alaska    665,384  1,723,337    570,641  1,477,953   \n",
       "3               Arizona    113,990    295,234    113,594    294,207   \n",
       "4              Arkansas     53,179    137,732     52,035    134,771   \n",
       "5            California    163,695    423,967    155,779    403,466   \n",
       "6              Colorado    104,094    269,601    103,642    268,431   \n",
       "7           Connecticut      5,543     14,357      4,842     12,542   \n",
       "8              Delaware      2,489      6,446      1,949      5,047   \n",
       "9  District of Columbia         68        177         61        158   \n",
       "\n",
       "  water_sq_mi water_sq_km inland_sq_mi inland_sq_km coast_sq_mi coast_sq_km  \\\n",
       "0     264,837     685,924       85,647      221,824      42,337     109,652   \n",
       "1       1,775       4,597        1,058        2,740         517       1,340   \n",
       "2      94,743     245,383       19,304       49,997      26,119      67,647   \n",
       "3         396       1,026          396        1,026           —           —   \n",
       "4       1,143       2,961        1,143        2,961           —           —   \n",
       "5       7,916      20,501        2,833        7,339         245         634   \n",
       "6         452       1,170          452        1,170           —           —   \n",
       "7         701       1,816          171          443         530       1,372   \n",
       "8         540       1,399           91          237         355         920   \n",
       "9           7          19            7           19           —           —   \n",
       "\n",
       "  gl_sq_mi gl_sq_km terr_sq_mi terr_sq_km   latitude   longitude  \n",
       "0   60,094  155,643     76,759    198,806        NaN         NaN  \n",
       "1        —        —        199        516  32.739632  -86.843459  \n",
       "2        —        —     49,320    127,739  63.346191 -152.837068  \n",
       "3        —        —          —          —  34.209964 -111.602401  \n",
       "4        —        —          —          —  34.895526  -92.444626  \n",
       "5        —        —      4,837     12,528  37.148573 -119.540651  \n",
       "6        —        —          —          —  38.993575 -105.507774  \n",
       "7        —        —          —          —  41.579784  -72.746667  \n",
       "8        —        —         94        242  38.993550  -75.447374  \n",
       "9        —        —          —          —  38.904148  -77.017094  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geog = pd.read_csv('data/us_geography.csv')\n",
    "geog.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>United States</td>\n",
       "      <td>328239523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Puerto Rico Commonwealth</td>\n",
       "      <td>3193694</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        NAME  POPESTIMATE2019\n",
       "0              United States        328239523\n",
       "1                    Alabama          4903185\n",
       "2                     Alaska           731545\n",
       "3                    Arizona          7278717\n",
       "4                   Arkansas          3017804\n",
       "5                 California         39512223\n",
       "6                   Colorado          5758736\n",
       "7                Connecticut          3565287\n",
       "8                   Delaware           973764\n",
       "9       District of Columbia           705749\n",
       "10                   Florida         21477737\n",
       "11                   Georgia         10617423\n",
       "12                    Hawaii          1415872\n",
       "13                     Idaho          1787065\n",
       "14                  Illinois         12671821\n",
       "15                   Indiana          6732219\n",
       "16                      Iowa          3155070\n",
       "17                    Kansas          2913314\n",
       "18                  Kentucky          4467673\n",
       "19                 Louisiana          4648794\n",
       "20                     Maine          1344212\n",
       "21                  Maryland          6045680\n",
       "22             Massachusetts          6892503\n",
       "23                  Michigan          9986857\n",
       "24                 Minnesota          5639632\n",
       "25               Mississippi          2976149\n",
       "26                  Missouri          6137428\n",
       "27                   Montana          1068778\n",
       "28                  Nebraska          1934408\n",
       "29                    Nevada          3080156\n",
       "30             New Hampshire          1359711\n",
       "31                New Jersey          8882190\n",
       "32                New Mexico          2096829\n",
       "33                  New York         19453561\n",
       "34            North Carolina         10488084\n",
       "35              North Dakota           762062\n",
       "36                      Ohio         11689100\n",
       "37                  Oklahoma          3956971\n",
       "38                    Oregon          4217737\n",
       "39              Pennsylvania         12801989\n",
       "40              Rhode Island          1059361\n",
       "41            South Carolina          5148714\n",
       "42              South Dakota           884659\n",
       "43                 Tennessee          6829174\n",
       "44                     Texas         28995881\n",
       "45                      Utah          3205958\n",
       "46                   Vermont           623989\n",
       "47                  Virginia          8535519\n",
       "48                Washington          7614893\n",
       "49             West Virginia          1792147\n",
       "50                 Wisconsin          5822434\n",
       "51                   Wyoming           578759\n",
       "52  Puerto Rico Commonwealth          3193694"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population[['NAME', 'POPESTIMATE2019']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merge state population date with state COVID-19 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_columns=['Confirmed', 'Deaths', 'Recovered', 'Active', ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_with_population = pd.merge(state_totals[state_columns], population[['NAME', 'POPESTIMATE2019']], left_on='Province_State', right_on='NAME')\n",
    "state_with_population['fraction_confirmed'] = state_with_population['Confirmed'] / state_with_population['POPESTIMATE2019'] * 100.0\n",
    "state_with_population['deaths'] = state_with_population['Deaths'] / state_with_population['POPESTIMATE2019'] * 100.0\n",
    "state_with_population['death_rate?'] = state_with_population['Deaths'] / state_with_population['Confirmed'] * 100.0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>NAME</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "      <th>fraction_confirmed</th>\n",
       "      <th>deaths</th>\n",
       "      <th>death_rate?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.033815</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>5.687204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.052923</td>\n",
       "      <td>0.002469</td>\n",
       "      <td>4.665012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.071309</td>\n",
       "      <td>0.002947</td>\n",
       "      <td>4.132730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.009527</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>3.978780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.022284</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>2.916314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.011357</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>2.713987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.018315</td>\n",
       "      <td>0.000460</td>\n",
       "      <td>2.514193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.046561</td>\n",
       "      <td>0.001111</td>\n",
       "      <td>2.387097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.011619</td>\n",
       "      <td>0.000273</td>\n",
       "      <td>2.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.021977</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>2.336449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>2.290076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.012819</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.042746</td>\n",
       "      <td>0.000926</td>\n",
       "      <td>2.165354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.012895</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>2.158979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.004963</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>2.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.022277</td>\n",
       "      <td>0.000437</td>\n",
       "      <td>1.960784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.010620</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>1.940492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.030215</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.781609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.012028</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>1.778094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.008670</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>1.756757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.013094</td>\n",
       "      <td>0.000224</td>\n",
       "      <td>1.709402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.018120</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>1.611374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.020324</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>1.597444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.009130</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>1.503759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.007687</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.017520</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>1.435025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.269411</td>\n",
       "      <td>0.003742</td>\n",
       "      <td>1.389048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.027549</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>1.346319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.043075</td>\n",
       "      <td>0.000567</td>\n",
       "      <td>1.315789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.125239</td>\n",
       "      <td>0.001576</td>\n",
       "      <td>1.258540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.013553</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>1.222494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.008467</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.221996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.013621</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>1.196172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.022223</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>1.195079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.007820</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>1.133787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.013753</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>1.069519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.012335</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>1.063830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.061763</td>\n",
       "      <td>0.000638</td>\n",
       "      <td>1.033592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.009445</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>1.006711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.022561</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.836820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.012070</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>0.775194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.014154</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.576369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.502513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.009725</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.490196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.015697</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.022126</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>0.463269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.018778</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>0.166113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.005357</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.010524</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.014168</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Confirmed  Deaths  Recovered  Active                  NAME  \\\n",
       "45        211      12          0       0               Vermont   \n",
       "47       4030     188          0       0            Washington   \n",
       "18       3315     137          0       0             Louisiana   \n",
       "36        377      15          0       0              Oklahoma   \n",
       "10       2366      69          0       0               Georgia   \n",
       "37        479      13          0       0                Oregon   \n",
       "14       1233      31          0       0               Indiana   \n",
       "22       4650     111          0       0              Michigan   \n",
       "1          85       2          0       0                Alaska   \n",
       "7         214       5          0       0              Delaware   \n",
       "17        393       9          0       0              Kentucky   \n",
       "40        660      15          0       0        South Carolina   \n",
       "6        1524      33          0       0           Connecticut   \n",
       "4        5095     110          0       0            California   \n",
       "27         96       2          0       0              Nebraska   \n",
       "24        663      13          0       0           Mississippi   \n",
       "2         773      15          0       0               Arizona   \n",
       "5        1740      31          0       0              Colorado   \n",
       "35       1406      25          0       0                  Ohio   \n",
       "46        740      13          0       0              Virginia   \n",
       "12        234       4          0       0                 Idaho   \n",
       "49       1055      17          0       0             Wisconsin   \n",
       "28        626      10          0       0                Nevada   \n",
       "16        266       4          0       0                Kansas   \n",
       "41         68       1          0       0          South Dakota   \n",
       "9        3763      54          0       0               Florida   \n",
       "32      52410     728          0       0              New York   \n",
       "13       3491      47          0       0              Illinois   \n",
       "8         304       4          0       0  District of Columbia   \n",
       "30      11124     140          0       0            New Jersey   \n",
       "3         409       5          0       0              Arkansas   \n",
       "43       2455      30          0       0                 Texas   \n",
       "25        836      10          0       0              Missouri   \n",
       "38       2845      34          0       0          Pennsylvania   \n",
       "23        441       5          0       0             Minnesota   \n",
       "29        187       2          0       0         New Hampshire   \n",
       "34         94       1          0       0          North Dakota   \n",
       "21       4257      44          0       0         Massachusetts   \n",
       "15        298       3          0       0                  Iowa   \n",
       "39        239       2          0       0          Rhode Island   \n",
       "26        129       1          0       0               Montana   \n",
       "0         694       4          0       0               Alabama   \n",
       "20        995       5          0       0              Maryland   \n",
       "33       1020       5          0       0        North Carolina   \n",
       "31        208       1          0       0            New Mexico   \n",
       "19        211       1          0       0                 Maine   \n",
       "42       1511       7          0       0             Tennessee   \n",
       "44        602       1          0       0                  Utah   \n",
       "48         96       0          0       0         West Virginia   \n",
       "11        149       0          0       0                Hawaii   \n",
       "50         82       0          0       0               Wyoming   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "45           623989            0.033815  0.001923     5.687204  \n",
       "47          7614893            0.052923  0.002469     4.665012  \n",
       "18          4648794            0.071309  0.002947     4.132730  \n",
       "36          3956971            0.009527  0.000379     3.978780  \n",
       "10         10617423            0.022284  0.000650     2.916314  \n",
       "37          4217737            0.011357  0.000308     2.713987  \n",
       "14          6732219            0.018315  0.000460     2.514193  \n",
       "22          9986857            0.046561  0.001111     2.387097  \n",
       "1            731545            0.011619  0.000273     2.352941  \n",
       "7            973764            0.021977  0.000513     2.336449  \n",
       "17          4467673            0.008797  0.000201     2.290076  \n",
       "40          5148714            0.012819  0.000291     2.272727  \n",
       "6           3565287            0.042746  0.000926     2.165354  \n",
       "4          39512223            0.012895  0.000278     2.158979  \n",
       "27          1934408            0.004963  0.000103     2.083333  \n",
       "24          2976149            0.022277  0.000437     1.960784  \n",
       "2           7278717            0.010620  0.000206     1.940492  \n",
       "5           5758736            0.030215  0.000538     1.781609  \n",
       "35         11689100            0.012028  0.000214     1.778094  \n",
       "46          8535519            0.008670  0.000152     1.756757  \n",
       "12          1787065            0.013094  0.000224     1.709402  \n",
       "49          5822434            0.018120  0.000292     1.611374  \n",
       "28          3080156            0.020324  0.000325     1.597444  \n",
       "16          2913314            0.009130  0.000137     1.503759  \n",
       "41           884659            0.007687  0.000113     1.470588  \n",
       "9          21477737            0.017520  0.000251     1.435025  \n",
       "32         19453561            0.269411  0.003742     1.389048  \n",
       "13         12671821            0.027549  0.000371     1.346319  \n",
       "8            705749            0.043075  0.000567     1.315789  \n",
       "30          8882190            0.125239  0.001576     1.258540  \n",
       "3           3017804            0.013553  0.000166     1.222494  \n",
       "43         28995881            0.008467  0.000103     1.221996  \n",
       "25          6137428            0.013621  0.000163     1.196172  \n",
       "38         12801989            0.022223  0.000266     1.195079  \n",
       "23          5639632            0.007820  0.000089     1.133787  \n",
       "29          1359711            0.013753  0.000147     1.069519  \n",
       "34           762062            0.012335  0.000131     1.063830  \n",
       "21          6892503            0.061763  0.000638     1.033592  \n",
       "15          3155070            0.009445  0.000095     1.006711  \n",
       "39          1059361            0.022561  0.000189     0.836820  \n",
       "26          1068778            0.012070  0.000094     0.775194  \n",
       "0           4903185            0.014154  0.000082     0.576369  \n",
       "20          6045680            0.016458  0.000083     0.502513  \n",
       "33         10488084            0.009725  0.000048     0.490196  \n",
       "31          2096829            0.009920  0.000048     0.480769  \n",
       "19          1344212            0.015697  0.000074     0.473934  \n",
       "42          6829174            0.022126  0.000103     0.463269  \n",
       "44          3205958            0.018778  0.000031     0.166113  \n",
       "48          1792147            0.005357  0.000000     0.000000  \n",
       "11          1415872            0.010524  0.000000     0.000000  \n",
       "50           578759            0.014168  0.000000     0.000000  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='death_rate?', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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",
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       "        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>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>NAME</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "      <th>fraction_confirmed</th>\n",
       "      <th>deaths</th>\n",
       "      <th>death_rate?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.269411</td>\n",
       "      <td>0.003742</td>\n",
       "      <td>1.389048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.125239</td>\n",
       "      <td>0.001576</td>\n",
       "      <td>1.258540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.071309</td>\n",
       "      <td>0.002947</td>\n",
       "      <td>4.132730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.061763</td>\n",
       "      <td>0.000638</td>\n",
       "      <td>1.033592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.052923</td>\n",
       "      <td>0.002469</td>\n",
       "      <td>4.665012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.046561</td>\n",
       "      <td>0.001111</td>\n",
       "      <td>2.387097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.043075</td>\n",
       "      <td>0.000567</td>\n",
       "      <td>1.315789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.042746</td>\n",
       "      <td>0.000926</td>\n",
       "      <td>2.165354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.033815</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>5.687204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.030215</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.781609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.027549</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>1.346319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.022561</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.836820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.022284</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>2.916314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.022277</td>\n",
       "      <td>0.000437</td>\n",
       "      <td>1.960784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.022223</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>1.195079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.022126</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>0.463269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.021977</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>2.336449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.020324</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>1.597444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.018778</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>0.166113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.018315</td>\n",
       "      <td>0.000460</td>\n",
       "      <td>2.514193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.018120</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>1.611374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.017520</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>1.435025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.502513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.015697</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.014168</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.014154</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.576369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.013753</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>1.069519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.013621</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>1.196172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.013553</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>1.222494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.013094</td>\n",
       "      <td>0.000224</td>\n",
       "      <td>1.709402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.012895</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>2.158979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.012819</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.012335</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>1.063830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.012070</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>0.775194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.012028</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>1.778094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.011619</td>\n",
       "      <td>0.000273</td>\n",
       "      <td>2.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.011357</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>2.713987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.010620</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>1.940492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.010524</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.009725</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.490196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.009527</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>3.978780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.009445</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>1.006711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.009130</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>1.503759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>2.290076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.008670</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>1.756757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.008467</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.221996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.007820</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>1.133787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.007687</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.005357</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.004963</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>2.083333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Confirmed  Deaths  Recovered  Active                  NAME  \\\n",
       "32      52410     728          0       0              New York   \n",
       "30      11124     140          0       0            New Jersey   \n",
       "18       3315     137          0       0             Louisiana   \n",
       "21       4257      44          0       0         Massachusetts   \n",
       "47       4030     188          0       0            Washington   \n",
       "22       4650     111          0       0              Michigan   \n",
       "8         304       4          0       0  District of Columbia   \n",
       "6        1524      33          0       0           Connecticut   \n",
       "45        211      12          0       0               Vermont   \n",
       "5        1740      31          0       0              Colorado   \n",
       "13       3491      47          0       0              Illinois   \n",
       "39        239       2          0       0          Rhode Island   \n",
       "10       2366      69          0       0               Georgia   \n",
       "24        663      13          0       0           Mississippi   \n",
       "38       2845      34          0       0          Pennsylvania   \n",
       "42       1511       7          0       0             Tennessee   \n",
       "7         214       5          0       0              Delaware   \n",
       "28        626      10          0       0                Nevada   \n",
       "44        602       1          0       0                  Utah   \n",
       "14       1233      31          0       0               Indiana   \n",
       "49       1055      17          0       0             Wisconsin   \n",
       "9        3763      54          0       0               Florida   \n",
       "20        995       5          0       0              Maryland   \n",
       "19        211       1          0       0                 Maine   \n",
       "50         82       0          0       0               Wyoming   \n",
       "0         694       4          0       0               Alabama   \n",
       "29        187       2          0       0         New Hampshire   \n",
       "25        836      10          0       0              Missouri   \n",
       "3         409       5          0       0              Arkansas   \n",
       "12        234       4          0       0                 Idaho   \n",
       "4        5095     110          0       0            California   \n",
       "40        660      15          0       0        South Carolina   \n",
       "34         94       1          0       0          North Dakota   \n",
       "26        129       1          0       0               Montana   \n",
       "35       1406      25          0       0                  Ohio   \n",
       "1          85       2          0       0                Alaska   \n",
       "37        479      13          0       0                Oregon   \n",
       "2         773      15          0       0               Arizona   \n",
       "11        149       0          0       0                Hawaii   \n",
       "31        208       1          0       0            New Mexico   \n",
       "33       1020       5          0       0        North Carolina   \n",
       "36        377      15          0       0              Oklahoma   \n",
       "15        298       3          0       0                  Iowa   \n",
       "16        266       4          0       0                Kansas   \n",
       "17        393       9          0       0              Kentucky   \n",
       "46        740      13          0       0              Virginia   \n",
       "43       2455      30          0       0                 Texas   \n",
       "23        441       5          0       0             Minnesota   \n",
       "41         68       1          0       0          South Dakota   \n",
       "48         96       0          0       0         West Virginia   \n",
       "27         96       2          0       0              Nebraska   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "32         19453561            0.269411  0.003742     1.389048  \n",
       "30          8882190            0.125239  0.001576     1.258540  \n",
       "18          4648794            0.071309  0.002947     4.132730  \n",
       "21          6892503            0.061763  0.000638     1.033592  \n",
       "47          7614893            0.052923  0.002469     4.665012  \n",
       "22          9986857            0.046561  0.001111     2.387097  \n",
       "8            705749            0.043075  0.000567     1.315789  \n",
       "6           3565287            0.042746  0.000926     2.165354  \n",
       "45           623989            0.033815  0.001923     5.687204  \n",
       "5           5758736            0.030215  0.000538     1.781609  \n",
       "13         12671821            0.027549  0.000371     1.346319  \n",
       "39          1059361            0.022561  0.000189     0.836820  \n",
       "10         10617423            0.022284  0.000650     2.916314  \n",
       "24          2976149            0.022277  0.000437     1.960784  \n",
       "38         12801989            0.022223  0.000266     1.195079  \n",
       "42          6829174            0.022126  0.000103     0.463269  \n",
       "7            973764            0.021977  0.000513     2.336449  \n",
       "28          3080156            0.020324  0.000325     1.597444  \n",
       "44          3205958            0.018778  0.000031     0.166113  \n",
       "14          6732219            0.018315  0.000460     2.514193  \n",
       "49          5822434            0.018120  0.000292     1.611374  \n",
       "9          21477737            0.017520  0.000251     1.435025  \n",
       "20          6045680            0.016458  0.000083     0.502513  \n",
       "19          1344212            0.015697  0.000074     0.473934  \n",
       "50           578759            0.014168  0.000000     0.000000  \n",
       "0           4903185            0.014154  0.000082     0.576369  \n",
       "29          1359711            0.013753  0.000147     1.069519  \n",
       "25          6137428            0.013621  0.000163     1.196172  \n",
       "3           3017804            0.013553  0.000166     1.222494  \n",
       "12          1787065            0.013094  0.000224     1.709402  \n",
       "4          39512223            0.012895  0.000278     2.158979  \n",
       "40          5148714            0.012819  0.000291     2.272727  \n",
       "34           762062            0.012335  0.000131     1.063830  \n",
       "26          1068778            0.012070  0.000094     0.775194  \n",
       "35         11689100            0.012028  0.000214     1.778094  \n",
       "1            731545            0.011619  0.000273     2.352941  \n",
       "37          4217737            0.011357  0.000308     2.713987  \n",
       "2           7278717            0.010620  0.000206     1.940492  \n",
       "11          1415872            0.010524  0.000000     0.000000  \n",
       "31          2096829            0.009920  0.000048     0.480769  \n",
       "33         10488084            0.009725  0.000048     0.490196  \n",
       "36          3956971            0.009527  0.000379     3.978780  \n",
       "15          3155070            0.009445  0.000095     1.006711  \n",
       "16          2913314            0.009130  0.000137     1.503759  \n",
       "17          4467673            0.008797  0.000201     2.290076  \n",
       "46          8535519            0.008670  0.000152     1.756757  \n",
       "43         28995881            0.008467  0.000103     1.221996  \n",
       "23          5639632            0.007820  0.000089     1.133787  \n",
       "41           884659            0.007687  0.000113     1.470588  \n",
       "48          1792147            0.005357  0.000000     0.000000  \n",
       "27          1934408            0.004963  0.000103     2.083333  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='fraction_confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>NAME</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "      <th>fraction_confirmed</th>\n",
       "      <th>deaths</th>\n",
       "      <th>death_rate?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>52410</td>\n",
       "      <td>728</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.269411</td>\n",
       "      <td>0.003742</td>\n",
       "      <td>1.389048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3315</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.071309</td>\n",
       "      <td>0.002947</td>\n",
       "      <td>4.132730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4030</td>\n",
       "      <td>188</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.052923</td>\n",
       "      <td>0.002469</td>\n",
       "      <td>4.665012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>211</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.033815</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>5.687204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>11124</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.125239</td>\n",
       "      <td>0.001576</td>\n",
       "      <td>1.258540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4650</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.046561</td>\n",
       "      <td>0.001111</td>\n",
       "      <td>2.387097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1524</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.042746</td>\n",
       "      <td>0.000926</td>\n",
       "      <td>2.165354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2366</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.022284</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>2.916314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4257</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.061763</td>\n",
       "      <td>0.000638</td>\n",
       "      <td>1.033592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>304</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.043075</td>\n",
       "      <td>0.000567</td>\n",
       "      <td>1.315789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1740</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.030215</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.781609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>214</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.021977</td>\n",
       "      <td>0.000513</td>\n",
       "      <td>2.336449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1233</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.018315</td>\n",
       "      <td>0.000460</td>\n",
       "      <td>2.514193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>663</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.022277</td>\n",
       "      <td>0.000437</td>\n",
       "      <td>1.960784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>377</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.009527</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>3.978780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3491</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.027549</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>1.346319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>626</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.020324</td>\n",
       "      <td>0.000325</td>\n",
       "      <td>1.597444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>479</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.011357</td>\n",
       "      <td>0.000308</td>\n",
       "      <td>2.713987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1055</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.018120</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>1.611374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>660</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.012819</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5095</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.012895</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>2.158979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>85</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.011619</td>\n",
       "      <td>0.000273</td>\n",
       "      <td>2.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2845</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.022223</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>1.195079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3763</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.017520</td>\n",
       "      <td>0.000251</td>\n",
       "      <td>1.435025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>234</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.013094</td>\n",
       "      <td>0.000224</td>\n",
       "      <td>1.709402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1406</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.012028</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>1.778094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>773</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.010620</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>1.940492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>393</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>0.000201</td>\n",
       "      <td>2.290076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>239</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.022561</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.836820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>409</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.013553</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>1.222494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>836</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.013621</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>1.196172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>740</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.008670</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>1.756757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>187</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.013753</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>1.069519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>266</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.009130</td>\n",
       "      <td>0.000137</td>\n",
       "      <td>1.503759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.012335</td>\n",
       "      <td>0.000131</td>\n",
       "      <td>1.063830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.007687</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2455</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.008467</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.221996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>96</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.004963</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>2.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1511</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.022126</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>0.463269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>298</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.009445</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>1.006711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.012070</td>\n",
       "      <td>0.000094</td>\n",
       "      <td>0.775194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>441</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.007820</td>\n",
       "      <td>0.000089</td>\n",
       "      <td>1.133787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>995</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.016458</td>\n",
       "      <td>0.000083</td>\n",
       "      <td>0.502513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>694</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.014154</td>\n",
       "      <td>0.000082</td>\n",
       "      <td>0.576369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>211</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.015697</td>\n",
       "      <td>0.000074</td>\n",
       "      <td>0.473934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>208</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.480769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1020</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.009725</td>\n",
       "      <td>0.000048</td>\n",
       "      <td>0.490196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>602</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.018778</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>0.166113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>96</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.005357</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.010524</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.014168</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Confirmed  Deaths  Recovered  Active                  NAME  \\\n",
       "32      52410     728          0       0              New York   \n",
       "18       3315     137          0       0             Louisiana   \n",
       "47       4030     188          0       0            Washington   \n",
       "45        211      12          0       0               Vermont   \n",
       "30      11124     140          0       0            New Jersey   \n",
       "22       4650     111          0       0              Michigan   \n",
       "6        1524      33          0       0           Connecticut   \n",
       "10       2366      69          0       0               Georgia   \n",
       "21       4257      44          0       0         Massachusetts   \n",
       "8         304       4          0       0  District of Columbia   \n",
       "5        1740      31          0       0              Colorado   \n",
       "7         214       5          0       0              Delaware   \n",
       "14       1233      31          0       0               Indiana   \n",
       "24        663      13          0       0           Mississippi   \n",
       "36        377      15          0       0              Oklahoma   \n",
       "13       3491      47          0       0              Illinois   \n",
       "28        626      10          0       0                Nevada   \n",
       "37        479      13          0       0                Oregon   \n",
       "49       1055      17          0       0             Wisconsin   \n",
       "40        660      15          0       0        South Carolina   \n",
       "4        5095     110          0       0            California   \n",
       "1          85       2          0       0                Alaska   \n",
       "38       2845      34          0       0          Pennsylvania   \n",
       "9        3763      54          0       0               Florida   \n",
       "12        234       4          0       0                 Idaho   \n",
       "35       1406      25          0       0                  Ohio   \n",
       "2         773      15          0       0               Arizona   \n",
       "17        393       9          0       0              Kentucky   \n",
       "39        239       2          0       0          Rhode Island   \n",
       "3         409       5          0       0              Arkansas   \n",
       "25        836      10          0       0              Missouri   \n",
       "46        740      13          0       0              Virginia   \n",
       "29        187       2          0       0         New Hampshire   \n",
       "16        266       4          0       0                Kansas   \n",
       "34         94       1          0       0          North Dakota   \n",
       "41         68       1          0       0          South Dakota   \n",
       "43       2455      30          0       0                 Texas   \n",
       "27         96       2          0       0              Nebraska   \n",
       "42       1511       7          0       0             Tennessee   \n",
       "15        298       3          0       0                  Iowa   \n",
       "26        129       1          0       0               Montana   \n",
       "23        441       5          0       0             Minnesota   \n",
       "20        995       5          0       0              Maryland   \n",
       "0         694       4          0       0               Alabama   \n",
       "19        211       1          0       0                 Maine   \n",
       "31        208       1          0       0            New Mexico   \n",
       "33       1020       5          0       0        North Carolina   \n",
       "44        602       1          0       0                  Utah   \n",
       "48         96       0          0       0         West Virginia   \n",
       "11        149       0          0       0                Hawaii   \n",
       "50         82       0          0       0               Wyoming   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "32         19453561            0.269411  0.003742     1.389048  \n",
       "18          4648794            0.071309  0.002947     4.132730  \n",
       "47          7614893            0.052923  0.002469     4.665012  \n",
       "45           623989            0.033815  0.001923     5.687204  \n",
       "30          8882190            0.125239  0.001576     1.258540  \n",
       "22          9986857            0.046561  0.001111     2.387097  \n",
       "6           3565287            0.042746  0.000926     2.165354  \n",
       "10         10617423            0.022284  0.000650     2.916314  \n",
       "21          6892503            0.061763  0.000638     1.033592  \n",
       "8            705749            0.043075  0.000567     1.315789  \n",
       "5           5758736            0.030215  0.000538     1.781609  \n",
       "7            973764            0.021977  0.000513     2.336449  \n",
       "14          6732219            0.018315  0.000460     2.514193  \n",
       "24          2976149            0.022277  0.000437     1.960784  \n",
       "36          3956971            0.009527  0.000379     3.978780  \n",
       "13         12671821            0.027549  0.000371     1.346319  \n",
       "28          3080156            0.020324  0.000325     1.597444  \n",
       "37          4217737            0.011357  0.000308     2.713987  \n",
       "49          5822434            0.018120  0.000292     1.611374  \n",
       "40          5148714            0.012819  0.000291     2.272727  \n",
       "4          39512223            0.012895  0.000278     2.158979  \n",
       "1            731545            0.011619  0.000273     2.352941  \n",
       "38         12801989            0.022223  0.000266     1.195079  \n",
       "9          21477737            0.017520  0.000251     1.435025  \n",
       "12          1787065            0.013094  0.000224     1.709402  \n",
       "35         11689100            0.012028  0.000214     1.778094  \n",
       "2           7278717            0.010620  0.000206     1.940492  \n",
       "17          4467673            0.008797  0.000201     2.290076  \n",
       "39          1059361            0.022561  0.000189     0.836820  \n",
       "3           3017804            0.013553  0.000166     1.222494  \n",
       "25          6137428            0.013621  0.000163     1.196172  \n",
       "46          8535519            0.008670  0.000152     1.756757  \n",
       "29          1359711            0.013753  0.000147     1.069519  \n",
       "16          2913314            0.009130  0.000137     1.503759  \n",
       "34           762062            0.012335  0.000131     1.063830  \n",
       "41           884659            0.007687  0.000113     1.470588  \n",
       "43         28995881            0.008467  0.000103     1.221996  \n",
       "27          1934408            0.004963  0.000103     2.083333  \n",
       "42          6829174            0.022126  0.000103     0.463269  \n",
       "15          3155070            0.009445  0.000095     1.006711  \n",
       "26          1068778            0.012070  0.000094     0.775194  \n",
       "23          5639632            0.007820  0.000089     1.133787  \n",
       "20          6045680            0.016458  0.000083     0.502513  \n",
       "0           4903185            0.014154  0.000082     0.576369  \n",
       "19          1344212            0.015697  0.000074     0.473934  \n",
       "31          2096829            0.009920  0.000048     0.480769  \n",
       "33         10488084            0.009725  0.000048     0.490196  \n",
       "44          3205958            0.018778  0.000031     0.166113  \n",
       "48          1792147            0.005357  0.000000     0.000000  \n",
       "11          1415872            0.010524  0.000000     0.000000  \n",
       "50           578759            0.014168  0.000000     0.000000  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='deaths', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Something strange about the data direct from github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>Active</th>\n",
       "      <th>POPESTIMATE2019</th>\n",
       "      <th>fraction_confirmed</th>\n",
       "      <th>deaths</th>\n",
       "      <th>death_rate?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>51.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>5.100000e+01</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>51.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2375.470588</td>\n",
       "      <td>39.588235</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.436069e+06</td>\n",
       "      <td>0.026498</td>\n",
       "      <td>0.000481</td>\n",
       "      <td>1.635658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7404.787525</td>\n",
       "      <td>106.570948</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.360660e+06</td>\n",
       "      <td>0.040322</td>\n",
       "      <td>0.000758</td>\n",
       "      <td>1.153384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.787590e+05</td>\n",
       "      <td>0.004963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>224.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.789606e+06</td>\n",
       "      <td>0.010572</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.020152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>660.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.467673e+06</td>\n",
       "      <td>0.014154</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>1.435025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1632.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.446805e+06</td>\n",
       "      <td>0.022281</td>\n",
       "      <td>0.000449</td>\n",
       "      <td>2.162167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>52410.000000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.951222e+07</td>\n",
       "      <td>0.269411</td>\n",
       "      <td>0.003742</td>\n",
       "      <td>5.687204</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Confirmed      Deaths  Recovered  Active  POPESTIMATE2019  \\\n",
       "count     51.000000   51.000000       51.0    51.0     5.100000e+01   \n",
       "mean    2375.470588   39.588235        0.0     0.0     6.436069e+06   \n",
       "std     7404.787525  106.570948        0.0     0.0     7.360660e+06   \n",
       "min       68.000000    0.000000        0.0     0.0     5.787590e+05   \n",
       "25%      224.000000    2.500000        0.0     0.0     1.789606e+06   \n",
       "50%      660.000000   10.000000        0.0     0.0     4.467673e+06   \n",
       "75%     1632.000000   31.000000        0.0     0.0     7.446805e+06   \n",
       "max    52410.000000  728.000000        0.0     0.0     3.951222e+07   \n",
       "\n",
       "       fraction_confirmed     deaths  death_rate?  \n",
       "count           51.000000  51.000000    51.000000  \n",
       "mean             0.026498   0.000481     1.635658  \n",
       "std              0.040322   0.000758     1.153384  \n",
       "min              0.004963   0.000000     0.000000  \n",
       "25%              0.010572   0.000103     1.020152  \n",
       "50%              0.014154   0.000214     1.435025  \n",
       "75%              0.022281   0.000449     2.162167  \n",
       "max              0.269411   0.003742     5.687204  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[      Unnamed: 0     FIPS     Admin2  Province_State      Country_Region  \\\n",
       " 0            NaN  45001.0  Abbeville  South Carolina                  US   \n",
       " 1            NaN  22001.0     Acadia       Louisiana                  US   \n",
       " 2            NaN  51001.0   Accomack        Virginia                  US   \n",
       " 3            NaN  16001.0        Ada           Idaho                  US   \n",
       " 4            NaN  19001.0      Adair            Iowa                  US   \n",
       " ...          ...      ...        ...             ...                 ...   \n",
       " 3425         NaN      NaN        NaN             NaN           Venezuela   \n",
       " 3426         NaN      NaN        NaN             NaN             Vietnam   \n",
       " 3427         NaN      NaN        NaN             NaN  West Bank and Gaza   \n",
       " 3428         NaN      NaN        NaN             NaN              Zambia   \n",
       " 3429         NaN      NaN        NaN             NaN            Zimbabwe   \n",
       " \n",
       "               Last_Update        Lat       Long_  Confirmed  Deaths  \\\n",
       " 0     2020-03-28 23:05:37  34.223334  -82.461707          3       0   \n",
       " 1     2020-03-28 23:05:37  30.295065  -92.414197          9       1   \n",
       " 2     2020-03-28 23:05:37  37.767072  -75.632346          2       0   \n",
       " 3     2020-03-28 23:05:37  43.452658 -116.241552         76       0   \n",
       " 4     2020-03-28 23:05:37  41.330756  -94.471059          1       0   \n",
       " ...                   ...        ...         ...        ...     ...   \n",
       " 3425  2020-03-28 23:05:25   6.423800  -66.589700        119       2   \n",
       " 3426  2020-03-28 23:05:25  14.058324  108.277199        174       0   \n",
       " 3427  2020-03-28 23:05:25  31.952200   35.233200         98       1   \n",
       " 3428  2020-03-28 23:05:25 -13.133897   27.849332         28       0   \n",
       " 3429  2020-03-28 23:05:25 -19.015438   29.154857          7       1   \n",
       " \n",
       "       Recovered  Active                   Combined_Key  \n",
       " 0             0       0  Abbeville, South Carolina, US  \n",
       " 1             0       0          Acadia, Louisiana, US  \n",
       " 2             0       0         Accomack, Virginia, US  \n",
       " 3             0       0                 Ada, Idaho, US  \n",
       " 4             0       0                Adair, Iowa, US  \n",
       " ...         ...     ...                            ...  \n",
       " 3425         39      78                      Venezuela  \n",
       " 3426         21     153                        Vietnam  \n",
       " 3427         18      79             West Bank and Gaza  \n",
       " 3428          0      28                         Zambia  \n",
       " 3429          0       6                       Zimbabwe  \n",
       " \n",
       " [3430 rows x 13 columns]]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfx = pd.read_html(url)\n",
    "dfx"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "import datapackage\n",
    "import pandas as pd\n",
    "\n",
    "data_url = 'https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports/03-27-2020.csv'\n",
    "\n",
    "# to load Data Package into storage\n",
    "package = datapackage.Package(data_url)\n",
    "\n",
    "# to load only tabular data\n",
    "resources = package.resources\n",
    "for resource in resources:\n",
    "    if resource.tabular:\n",
    "        data = pd.read_csv(resource.descriptor['path'])\n",
    "        print (data)"
   ]
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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