covid-19-3-30.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/03-30-2020.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=1)[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### quick glance at the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</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",
       "    <tr>\n",
       "      <th>FIPS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>1115.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>St. Clair</td>\n",
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       "      <td>2020-03-30 22:52:45</td>\n",
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       "      <td>St. Clair, Alabama, US</td>\n",
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       "    <tr>\n",
       "      <th>1117.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Shelby</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>33.268798</td>\n",
       "      <td>-86.662326</td>\n",
       "      <td>79</td>\n",
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       "      <td>Shelby, Alabama, US</td>\n",
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       "    <tr>\n",
       "      <th>1019.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cherokee</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>34.178060</td>\n",
       "      <td>-85.606390</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cherokee, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Monroe</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>31.567294</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monroe, Alabama, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mobile</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>30.784723</td>\n",
       "      <td>-88.208424</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mobile, 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>56025.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Natrona</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.961801</td>\n",
       "      <td>-106.797885</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Natrona, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56043.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Washakie</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.904516</td>\n",
       "      <td>-107.680187</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washakie, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56023.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Lincoln</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.263764</td>\n",
       "      <td>-110.656400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Lincoln, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56015.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Goshen</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.087982</td>\n",
       "      <td>-104.353474</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Goshen, Wyoming, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56021.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Laramie</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.307025</td>\n",
       "      <td>-104.688750</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Laramie, Wyoming, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3186 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0     Admin2 Province_State Country_Region  \\\n",
       "FIPS                                                           \n",
       "1115.0          NaN  St. Clair        Alabama             US   \n",
       "1117.0          NaN     Shelby        Alabama             US   \n",
       "1019.0          NaN   Cherokee        Alabama             US   \n",
       "1099.0          NaN     Monroe        Alabama             US   \n",
       "1097.0          NaN     Mobile        Alabama             US   \n",
       "...             ...        ...            ...            ...   \n",
       "56025.0         NaN    Natrona        Wyoming             US   \n",
       "56043.0         NaN   Washakie        Wyoming             US   \n",
       "56023.0         NaN    Lincoln        Wyoming             US   \n",
       "56015.0         NaN     Goshen        Wyoming             US   \n",
       "56021.0         NaN    Laramie        Wyoming             US   \n",
       "\n",
       "                 Last_Update        Lat       Long_  Confirmed  Deaths  \\\n",
       "FIPS                                                                     \n",
       "1115.0   2020-03-30 22:52:45  33.719022  -86.310294         13       0   \n",
       "1117.0   2020-03-30 22:52:45  33.268798  -86.662326         79       0   \n",
       "1019.0   2020-03-30 22:52:45  34.178060  -85.606390          2       0   \n",
       "1099.0   2020-03-30 22:52:45  31.567294  -87.369950          1       0   \n",
       "1097.0   2020-03-30 22:52:45  30.784723  -88.208424         44       1   \n",
       "...                      ...        ...         ...        ...     ...   \n",
       "56025.0  2020-03-30 22:52:45  42.961801 -106.797885         10       0   \n",
       "56043.0  2020-03-30 22:52:45  43.904516 -107.680187          1       0   \n",
       "56023.0  2020-03-30 22:52:45  42.263764 -110.656400          0       0   \n",
       "56015.0  2020-03-30 22:52:45  42.087982 -104.353474          1       0   \n",
       "56021.0  2020-03-30 22:52:45  41.307025 -104.688750         20       0   \n",
       "\n",
       "         Recovered  Active            Combined_Key  \n",
       "FIPS                                                \n",
       "1115.0           0       0  St. Clair, Alabama, US  \n",
       "1117.0           0       0     Shelby, Alabama, US  \n",
       "1019.0           0       0   Cherokee, Alabama, US  \n",
       "1099.0           0       0     Monroe, Alabama, US  \n",
       "1097.0           0       0     Mobile, Alabama, US  \n",
       "...            ...     ...                     ...  \n",
       "56025.0          0       0    Natrona, Wyoming, US  \n",
       "56043.0          0       0   Washakie, Wyoming, US  \n",
       "56023.0          0       0    Lincoln, Wyoming, US  \n",
       "56015.0          0       0     Goshen, Wyoming, US  \n",
       "56021.0          0       0    Laramie, Wyoming, US  \n",
       "\n",
       "[3186 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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       "      <th>count</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3439.000000</td>\n",
       "      <td>3439.000000</td>\n",
       "      <td>3439.000000</td>\n",
       "      <td>3439.000000</td>\n",
       "      <td>3439.000000</td>\n",
       "      <td>3439.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>36.786233</td>\n",
       "      <td>-82.615351</td>\n",
       "      <td>227.497819</td>\n",
       "      <td>10.928177</td>\n",
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       "      <td>122.180867</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>10.217825</td>\n",
       "      <td>39.300282</td>\n",
       "      <td>3142.090662</td>\n",
       "      <td>255.755207</td>\n",
       "      <td>1200.918451</td>\n",
       "      <td>2119.112151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>-170.132000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>33.937972</td>\n",
       "      <td>-97.616753</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>-89.024527</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>41.720212</td>\n",
       "      <td>-81.698105</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>71.706900</td>\n",
       "      <td>178.065000</td>\n",
       "      <td>101739.000000</td>\n",
       "      <td>11591.000000</td>\n",
       "      <td>62889.000000</td>\n",
       "      <td>75528.000000</td>\n",
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      "text/plain": [
       "       Unnamed: 0          Lat        Long_      Confirmed        Deaths  \\\n",
       "count         0.0  3439.000000  3439.000000    3439.000000   3439.000000   \n",
       "mean          NaN    36.786233   -82.615351     227.497819     10.928177   \n",
       "std           NaN    10.217825    39.300282    3142.090662    255.755207   \n",
       "min           NaN   -42.882100  -170.132000       0.000000      0.000000   \n",
       "25%           NaN    33.937972   -97.616753       0.000000      0.000000   \n",
       "50%           NaN    38.050954   -89.024527       2.000000      0.000000   \n",
       "75%           NaN    41.720212   -81.698105      12.000000      0.000000   \n",
       "max           NaN    71.706900   178.065000  101739.000000  11591.000000   \n",
       "\n",
       "          Recovered        Active  \n",
       "count   3439.000000   3439.000000  \n",
       "mean      47.852864    122.180867  \n",
       "std     1200.918451   2119.112151  \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    62889.000000  75528.000000  "
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     },
     "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": [
    {
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>561.685748</td>\n",
       "      <td>-7320.232710</td>\n",
       "      <td>174.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3302.767521</td>\n",
       "      <td>-1044.429181</td>\n",
       "      <td>1925.000000</td>\n",
       "      <td>35.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>145.673900</td>\n",
       "      <td>66663.000000</td>\n",
       "      <td>1218.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0          Lat         Long_     Confirmed       Deaths  \\\n",
       "count        59.0    59.000000     59.000000     59.000000    59.000000   \n",
       "mean          0.0  2050.698623  -4918.486094   2742.491525    50.474576   \n",
       "std           0.0  1723.851856   4444.368446   8878.730587   162.872211   \n",
       "min           0.0   -14.271000 -25057.879425      0.000000     0.000000   \n",
       "25%           0.0   561.685748  -7320.232710    174.500000     3.000000   \n",
       "50%           0.0  1947.589655  -4708.049596    576.000000    10.000000   \n",
       "75%           0.0  3302.767521  -1044.429181   1925.000000    35.500000   \n",
       "max           0.0  8041.803434    145.673900  66663.000000  1218.000000   \n",
       "\n",
       "         Recovered  Active  \n",
       "count    59.000000    59.0  \n",
       "mean     95.661017     0.0  \n",
       "std     734.786214     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    5644.000000     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": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>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>0.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>0.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3655.617539</td>\n",
       "      <td>-7070.178085</td>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>0.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>0.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>0.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1313</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>0.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>0.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>0.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>408</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>0.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Hampshire</th>\n",
       "      <td>0.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>0.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>0.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>0.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>0.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>175</td>\n",
       "      <td>0</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>174</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>0.0</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>South Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>0.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>0.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diamond Princess</th>\n",
       "      <td>0.0</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>Northern Mariana Islands</th>\n",
       "      <td>0.0</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>5644</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virgin Islands</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>0.0</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": [
       "                          Unnamed: 0          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                         0.0  2637.737383  -4679.399365      66663   \n",
       "New Jersey                       0.0   846.015259  -1567.071444      16636   \n",
       "California                       0.0  2194.949775  -7002.258461       7138   \n",
       "Michigan                         0.0  3655.617539  -7070.178085       6498   \n",
       "Massachusetts                    0.0   630.994149  -1071.277031       5752   \n",
       "Florida                          0.0  1939.030577  -5540.949842       5473   \n",
       "Illinois                         0.0  4064.049006  -9096.189667       5056   \n",
       "Washington                       0.0  1842.117670  -4708.049596       4923   \n",
       "Pennsylvania                     0.0  2734.811250  -5200.226295       4155   \n",
       "Louisiana                        0.0  1989.915353  -5876.747946       4025   \n",
       "Texas                            0.0  8041.803434 -25057.879425       3147   \n",
       "Georgia                          0.0  5216.556611 -13288.811358       2808   \n",
       "Connecticut                      0.0   332.909441   -581.254637       2571   \n",
       "Colorado                         0.0  2491.870366  -6751.119357       2311   \n",
       "Ohio                             0.0  3547.338944  -7289.515905       1933   \n",
       "Tennessee                        0.0  3409.084710  -8180.328684       1917   \n",
       "Indiana                          0.0  3665.036491  -7932.108297       1786   \n",
       "Maryland                         0.0   936.358097  -1840.211223       1413   \n",
       "North Carolina                   0.0  3562.420971  -7950.109874       1313   \n",
       "Wisconsin                        0.0  3196.450332  -6465.454559       1230   \n",
       "Arizona                          0.0   505.138555  -1671.948482       1157   \n",
       "Missouri                         0.0  4460.984726 -10729.940479       1051   \n",
       "Virginia                         0.0  4996.297993 -10442.323661       1020   \n",
       "Nevada                           0.0   667.351945  -1998.587890       1012   \n",
       "South Carolina                   0.0  1562.043718  -3725.236386        925   \n",
       "Alabama                          0.0  2203.246784  -5809.578199        899   \n",
       "Mississippi                      0.0  2689.003578  -7350.949516        847   \n",
       "Utah                             0.0  1149.410881  -3236.285569        804   \n",
       "Oregon                           0.0  1601.726424  -4373.169106        606   \n",
       "Minnesota                        0.0  3963.025129  -8215.492913        576   \n",
       "Oklahoma                         0.0  2733.647411  -7488.357767        481   \n",
       "Kentucky                         0.0  4514.657262 -10223.986874        479   \n",
       "Arkansas                         0.0  2618.391704  -6932.548370        473   \n",
       "Iowa                             0.0  4160.961092  -9253.086423        424   \n",
       "Rhode Island                     0.0   208.275711   -357.320525        408   \n",
       "District of Columbia             0.0    38.904178    -77.016560        401   \n",
       "Kansas                           0.0  4040.964784 -10298.877911        372   \n",
       "Idaho                            0.0  1947.589655  -5036.245496        340   \n",
       "New Hampshire                    0.0   434.789729   -715.776567        314   \n",
       "Maine                            0.0   715.003014  -1112.380298        275   \n",
       "Delaware                         0.0   117.327830   -226.599712        264   \n",
       "Vermont                          0.0   618.232941  -1017.581330        256   \n",
       "New Mexico                       0.0  1172.481604  -3601.107483        237   \n",
       "Hawaii                           0.0   105.141415   -786.616182        175   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        174   \n",
       "Montana                          0.0  2630.582703  -6143.222113        171   \n",
       "West Virginia                    0.0  2134.783954  -4433.959998        145   \n",
       "Nebraska                         0.0  3842.926930  -9210.628137        145   \n",
       "Alaska                           0.0  1747.579877  -4229.319334        114   \n",
       "North Dakota                     0.0  2511.855857  -5313.217852        109   \n",
       "Grand Princess                   0.0     0.000000      0.000000        103   \n",
       "South Dakota                     0.0  2921.997865  -6554.501988        101   \n",
       "Wyoming                          0.0   990.998367  -2464.524571         94   \n",
       "Guam                             0.0    13.444300    144.793700         58   \n",
       "Diamond Princess                 0.0     0.000000      0.000000         49   \n",
       "Northern Mariana Islands         0.0    15.097900    145.673900          0   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "Virgin Islands                   0.0    18.335800    -64.896300          0   \n",
       "American Samoa                   0.0   -14.271000   -170.132000          0   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                    1218          0       0  \n",
       "New Jersey                   198          0       0  \n",
       "California                   146          0       0  \n",
       "Michigan                     184          0       0  \n",
       "Massachusetts                 56          0       0  \n",
       "Florida                       63          0       0  \n",
       "Illinois                      73          0       0  \n",
       "Washington                   205          0       0  \n",
       "Pennsylvania                  50          0       0  \n",
       "Louisiana                    185          0       0  \n",
       "Texas                         45          0       0  \n",
       "Georgia                       87          0       0  \n",
       "Connecticut                   36          0       0  \n",
       "Colorado                      47          0       0  \n",
       "Ohio                          40          0       0  \n",
       "Tennessee                     14          0       0  \n",
       "Indiana                       35          0       0  \n",
       "Maryland                      15          0       0  \n",
       "North Carolina                 7          0       0  \n",
       "Wisconsin                     20          0       0  \n",
       "Arizona                       20          0       0  \n",
       "Missouri                      13          0       0  \n",
       "Virginia                      15          0       0  \n",
       "Nevada                        15          0       0  \n",
       "South Carolina                18          0       0  \n",
       "Alabama                       10          0       0  \n",
       "Mississippi                   16          0       0  \n",
       "Utah                           4          0       0  \n",
       "Oregon                        16          0       0  \n",
       "Minnesota                     10          0       0  \n",
       "Oklahoma                      16          0       0  \n",
       "Kentucky                      11          0       0  \n",
       "Arkansas                       7          0       0  \n",
       "Iowa                           6          0       0  \n",
       "Rhode Island                   4          0       0  \n",
       "District of Columbia           9          0       0  \n",
       "Kansas                         8          0       0  \n",
       "Idaho                          6          0       0  \n",
       "New Hampshire                  3          0       0  \n",
       "Maine                          3          0       0  \n",
       "Delaware                       6          0       0  \n",
       "Vermont                       12          0       0  \n",
       "New Mexico                     2          0       0  \n",
       "Hawaii                         0          0       0  \n",
       "Puerto Rico                    6          0       0  \n",
       "Montana                        5          0       0  \n",
       "West Virginia                  1          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "Alaska                         3          0       0  \n",
       "North Dakota                   2          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "Wyoming                        0          0       0  \n",
       "Guam                           1          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Recovered                      0       5644       0  \n",
       "Virgin Islands                 0          0       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": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</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>0.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>0.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3655.617539</td>\n",
       "      <td>-7070.178085</td>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>0.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>0.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>0.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>0.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>0.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>0.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1313</td>\n",
       "      <td>7</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>174</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>0.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>0.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>408</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>0.0</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>New Hampshire</th>\n",
       "      <td>0.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>0.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>0.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>0.0</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>Northern Mariana Islands</th>\n",
       "      <td>0.0</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>Virgin Islands</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</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>0.0</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>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>5644</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>0.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>0.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Unnamed: 0          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                         0.0  2637.737383  -4679.399365      66663   \n",
       "Washington                       0.0  1842.117670  -4708.049596       4923   \n",
       "New Jersey                       0.0   846.015259  -1567.071444      16636   \n",
       "Louisiana                        0.0  1989.915353  -5876.747946       4025   \n",
       "Michigan                         0.0  3655.617539  -7070.178085       6498   \n",
       "California                       0.0  2194.949775  -7002.258461       7138   \n",
       "Georgia                          0.0  5216.556611 -13288.811358       2808   \n",
       "Illinois                         0.0  4064.049006  -9096.189667       5056   \n",
       "Florida                          0.0  1939.030577  -5540.949842       5473   \n",
       "Massachusetts                    0.0   630.994149  -1071.277031       5752   \n",
       "Pennsylvania                     0.0  2734.811250  -5200.226295       4155   \n",
       "Colorado                         0.0  2491.870366  -6751.119357       2311   \n",
       "Texas                            0.0  8041.803434 -25057.879425       3147   \n",
       "Ohio                             0.0  3547.338944  -7289.515905       1933   \n",
       "Connecticut                      0.0   332.909441   -581.254637       2571   \n",
       "Indiana                          0.0  3665.036491  -7932.108297       1786   \n",
       "Arizona                          0.0   505.138555  -1671.948482       1157   \n",
       "Wisconsin                        0.0  3196.450332  -6465.454559       1230   \n",
       "South Carolina                   0.0  1562.043718  -3725.236386        925   \n",
       "Mississippi                      0.0  2689.003578  -7350.949516        847   \n",
       "Oklahoma                         0.0  2733.647411  -7488.357767        481   \n",
       "Oregon                           0.0  1601.726424  -4373.169106        606   \n",
       "Nevada                           0.0   667.351945  -1998.587890       1012   \n",
       "Maryland                         0.0   936.358097  -1840.211223       1413   \n",
       "Virginia                         0.0  4996.297993 -10442.323661       1020   \n",
       "Tennessee                        0.0  3409.084710  -8180.328684       1917   \n",
       "Missouri                         0.0  4460.984726 -10729.940479       1051   \n",
       "Vermont                          0.0   618.232941  -1017.581330        256   \n",
       "Kentucky                         0.0  4514.657262 -10223.986874        479   \n",
       "Alabama                          0.0  2203.246784  -5809.578199        899   \n",
       "Minnesota                        0.0  3963.025129  -8215.492913        576   \n",
       "District of Columbia             0.0    38.904178    -77.016560        401   \n",
       "Kansas                           0.0  4040.964784 -10298.877911        372   \n",
       "Arkansas                         0.0  2618.391704  -6932.548370        473   \n",
       "North Carolina                   0.0  3562.420971  -7950.109874       1313   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        174   \n",
       "Delaware                         0.0   117.327830   -226.599712        264   \n",
       "Idaho                            0.0  1947.589655  -5036.245496        340   \n",
       "Iowa                             0.0  4160.961092  -9253.086423        424   \n",
       "Montana                          0.0  2630.582703  -6143.222113        171   \n",
       "Rhode Island                     0.0   208.275711   -357.320525        408   \n",
       "Utah                             0.0  1149.410881  -3236.285569        804   \n",
       "Grand Princess                   0.0     0.000000      0.000000        103   \n",
       "New Hampshire                    0.0   434.789729   -715.776567        314   \n",
       "Maine                            0.0   715.003014  -1112.380298        275   \n",
       "Alaska                           0.0  1747.579877  -4229.319334        114   \n",
       "Nebraska                         0.0  3842.926930  -9210.628137        145   \n",
       "North Dakota                     0.0  2511.855857  -5313.217852        109   \n",
       "New Mexico                       0.0  1172.481604  -3601.107483        237   \n",
       "West Virginia                    0.0  2134.783954  -4433.959998        145   \n",
       "Guam                             0.0    13.444300    144.793700         58   \n",
       "South Dakota                     0.0  2921.997865  -6554.501988        101   \n",
       "American Samoa                   0.0   -14.271000   -170.132000          0   \n",
       "Northern Mariana Islands         0.0    15.097900    145.673900          0   \n",
       "Virgin Islands                   0.0    18.335800    -64.896300          0   \n",
       "Diamond Princess                 0.0     0.000000      0.000000         49   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "Hawaii                           0.0   105.141415   -786.616182        175   \n",
       "Wyoming                          0.0   990.998367  -2464.524571         94   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                    1218          0       0  \n",
       "Washington                   205          0       0  \n",
       "New Jersey                   198          0       0  \n",
       "Louisiana                    185          0       0  \n",
       "Michigan                     184          0       0  \n",
       "California                   146          0       0  \n",
       "Georgia                       87          0       0  \n",
       "Illinois                      73          0       0  \n",
       "Florida                       63          0       0  \n",
       "Massachusetts                 56          0       0  \n",
       "Pennsylvania                  50          0       0  \n",
       "Colorado                      47          0       0  \n",
       "Texas                         45          0       0  \n",
       "Ohio                          40          0       0  \n",
       "Connecticut                   36          0       0  \n",
       "Indiana                       35          0       0  \n",
       "Arizona                       20          0       0  \n",
       "Wisconsin                     20          0       0  \n",
       "South Carolina                18          0       0  \n",
       "Mississippi                   16          0       0  \n",
       "Oklahoma                      16          0       0  \n",
       "Oregon                        16          0       0  \n",
       "Nevada                        15          0       0  \n",
       "Maryland                      15          0       0  \n",
       "Virginia                      15          0       0  \n",
       "Tennessee                     14          0       0  \n",
       "Missouri                      13          0       0  \n",
       "Vermont                       12          0       0  \n",
       "Kentucky                      11          0       0  \n",
       "Alabama                       10          0       0  \n",
       "Minnesota                     10          0       0  \n",
       "District of Columbia           9          0       0  \n",
       "Kansas                         8          0       0  \n",
       "Arkansas                       7          0       0  \n",
       "North Carolina                 7          0       0  \n",
       "Puerto Rico                    6          0       0  \n",
       "Delaware                       6          0       0  \n",
       "Idaho                          6          0       0  \n",
       "Iowa                           6          0       0  \n",
       "Montana                        5          0       0  \n",
       "Rhode Island                   4          0       0  \n",
       "Utah                           4          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "New Hampshire                  3          0       0  \n",
       "Maine                          3          0       0  \n",
       "Alaska                         3          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "North Dakota                   2          0       0  \n",
       "New Mexico                     2          0       0  \n",
       "West Virginia                  1          0       0  \n",
       "Guam                           1          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "American Samoa                 0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Virgin Islands                 0          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "Recovered                      0       5644       0  \n",
       "Hawaii                         0          0       0  \n",
       "Wyoming                        0          0       0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_totals.sort_values(by='Deaths', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>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>0.0</td>\n",
       "      <td>2637.737383</td>\n",
       "      <td>-4679.399365</td>\n",
       "      <td>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1842.117670</td>\n",
       "      <td>-4708.049596</td>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Jersey</th>\n",
       "      <td>0.0</td>\n",
       "      <td>846.015259</td>\n",
       "      <td>-1567.071444</td>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Louisiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1989.915353</td>\n",
       "      <td>-5876.747946</td>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Michigan</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3655.617539</td>\n",
       "      <td>-7070.178085</td>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>California</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2194.949775</td>\n",
       "      <td>-7002.258461</td>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Georgia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5216.556611</td>\n",
       "      <td>-13288.811358</td>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Illinois</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4064.049006</td>\n",
       "      <td>-9096.189667</td>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Florida</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1939.030577</td>\n",
       "      <td>-5540.949842</td>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Massachusetts</th>\n",
       "      <td>0.0</td>\n",
       "      <td>630.994149</td>\n",
       "      <td>-1071.277031</td>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pennsylvania</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2734.811250</td>\n",
       "      <td>-5200.226295</td>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Colorado</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2491.870366</td>\n",
       "      <td>-6751.119357</td>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Texas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>8041.803434</td>\n",
       "      <td>-25057.879425</td>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ohio</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3547.338944</td>\n",
       "      <td>-7289.515905</td>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Connecticut</th>\n",
       "      <td>0.0</td>\n",
       "      <td>332.909441</td>\n",
       "      <td>-581.254637</td>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3665.036491</td>\n",
       "      <td>-7932.108297</td>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arizona</th>\n",
       "      <td>0.0</td>\n",
       "      <td>505.138555</td>\n",
       "      <td>-1671.948482</td>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wisconsin</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3196.450332</td>\n",
       "      <td>-6465.454559</td>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1562.043718</td>\n",
       "      <td>-3725.236386</td>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mississippi</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2689.003578</td>\n",
       "      <td>-7350.949516</td>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2733.647411</td>\n",
       "      <td>-7488.357767</td>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oregon</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1601.726424</td>\n",
       "      <td>-4373.169106</td>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nevada</th>\n",
       "      <td>0.0</td>\n",
       "      <td>667.351945</td>\n",
       "      <td>-1998.587890</td>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maryland</th>\n",
       "      <td>0.0</td>\n",
       "      <td>936.358097</td>\n",
       "      <td>-1840.211223</td>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4996.297993</td>\n",
       "      <td>-10442.323661</td>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tennessee</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3409.084710</td>\n",
       "      <td>-8180.328684</td>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missouri</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4460.984726</td>\n",
       "      <td>-10729.940479</td>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vermont</th>\n",
       "      <td>0.0</td>\n",
       "      <td>618.232941</td>\n",
       "      <td>-1017.581330</td>\n",
       "      <td>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4514.657262</td>\n",
       "      <td>-10223.986874</td>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alabama</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2203.246784</td>\n",
       "      <td>-5809.578199</td>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3963.025129</td>\n",
       "      <td>-8215.492913</td>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>District of Columbia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>38.904178</td>\n",
       "      <td>-77.016560</td>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4040.964784</td>\n",
       "      <td>-10298.877911</td>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arkansas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2618.391704</td>\n",
       "      <td>-6932.548370</td>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Carolina</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3562.420971</td>\n",
       "      <td>-7950.109874</td>\n",
       "      <td>1313</td>\n",
       "      <td>7</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>174</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delaware</th>\n",
       "      <td>0.0</td>\n",
       "      <td>117.327830</td>\n",
       "      <td>-226.599712</td>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idaho</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1947.589655</td>\n",
       "      <td>-5036.245496</td>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iowa</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4160.961092</td>\n",
       "      <td>-9253.086423</td>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montana</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2630.582703</td>\n",
       "      <td>-6143.222113</td>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rhode Island</th>\n",
       "      <td>0.0</td>\n",
       "      <td>208.275711</td>\n",
       "      <td>-357.320525</td>\n",
       "      <td>408</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1149.410881</td>\n",
       "      <td>-3236.285569</td>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grand Princess</th>\n",
       "      <td>0.0</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>New Hampshire</th>\n",
       "      <td>0.0</td>\n",
       "      <td>434.789729</td>\n",
       "      <td>-715.776567</td>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maine</th>\n",
       "      <td>0.0</td>\n",
       "      <td>715.003014</td>\n",
       "      <td>-1112.380298</td>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alaska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1747.579877</td>\n",
       "      <td>-4229.319334</td>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nebraska</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3842.926930</td>\n",
       "      <td>-9210.628137</td>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2511.855857</td>\n",
       "      <td>-5313.217852</td>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Mexico</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1172.481604</td>\n",
       "      <td>-3601.107483</td>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Virginia</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2134.783954</td>\n",
       "      <td>-4433.959998</td>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>0.0</td>\n",
       "      <td>13.444300</td>\n",
       "      <td>144.793700</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Dakota</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2921.997865</td>\n",
       "      <td>-6554.501988</td>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>0.0</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>Northern Mariana Islands</th>\n",
       "      <td>0.0</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>Virgin Islands</th>\n",
       "      <td>0.0</td>\n",
       "      <td>18.335800</td>\n",
       "      <td>-64.896300</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>0.0</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>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>5644</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hawaii</th>\n",
       "      <td>0.0</td>\n",
       "      <td>105.141415</td>\n",
       "      <td>-786.616182</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wyoming</th>\n",
       "      <td>0.0</td>\n",
       "      <td>990.998367</td>\n",
       "      <td>-2464.524571</td>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Unnamed: 0          Lat         Long_  Confirmed  \\\n",
       "Province_State                                                               \n",
       "New York                         0.0  2637.737383  -4679.399365      66663   \n",
       "Washington                       0.0  1842.117670  -4708.049596       4923   \n",
       "New Jersey                       0.0   846.015259  -1567.071444      16636   \n",
       "Louisiana                        0.0  1989.915353  -5876.747946       4025   \n",
       "Michigan                         0.0  3655.617539  -7070.178085       6498   \n",
       "California                       0.0  2194.949775  -7002.258461       7138   \n",
       "Georgia                          0.0  5216.556611 -13288.811358       2808   \n",
       "Illinois                         0.0  4064.049006  -9096.189667       5056   \n",
       "Florida                          0.0  1939.030577  -5540.949842       5473   \n",
       "Massachusetts                    0.0   630.994149  -1071.277031       5752   \n",
       "Pennsylvania                     0.0  2734.811250  -5200.226295       4155   \n",
       "Colorado                         0.0  2491.870366  -6751.119357       2311   \n",
       "Texas                            0.0  8041.803434 -25057.879425       3147   \n",
       "Ohio                             0.0  3547.338944  -7289.515905       1933   \n",
       "Connecticut                      0.0   332.909441   -581.254637       2571   \n",
       "Indiana                          0.0  3665.036491  -7932.108297       1786   \n",
       "Arizona                          0.0   505.138555  -1671.948482       1157   \n",
       "Wisconsin                        0.0  3196.450332  -6465.454559       1230   \n",
       "South Carolina                   0.0  1562.043718  -3725.236386        925   \n",
       "Mississippi                      0.0  2689.003578  -7350.949516        847   \n",
       "Oklahoma                         0.0  2733.647411  -7488.357767        481   \n",
       "Oregon                           0.0  1601.726424  -4373.169106        606   \n",
       "Nevada                           0.0   667.351945  -1998.587890       1012   \n",
       "Maryland                         0.0   936.358097  -1840.211223       1413   \n",
       "Virginia                         0.0  4996.297993 -10442.323661       1020   \n",
       "Tennessee                        0.0  3409.084710  -8180.328684       1917   \n",
       "Missouri                         0.0  4460.984726 -10729.940479       1051   \n",
       "Vermont                          0.0   618.232941  -1017.581330        256   \n",
       "Kentucky                         0.0  4514.657262 -10223.986874        479   \n",
       "Alabama                          0.0  2203.246784  -5809.578199        899   \n",
       "Minnesota                        0.0  3963.025129  -8215.492913        576   \n",
       "District of Columbia             0.0    38.904178    -77.016560        401   \n",
       "Kansas                           0.0  4040.964784 -10298.877911        372   \n",
       "Arkansas                         0.0  2618.391704  -6932.548370        473   \n",
       "North Carolina                   0.0  3562.420971  -7950.109874       1313   \n",
       "Puerto Rico                      0.0    18.220800    -66.590100        174   \n",
       "Delaware                         0.0   117.327830   -226.599712        264   \n",
       "Idaho                            0.0  1947.589655  -5036.245496        340   \n",
       "Iowa                             0.0  4160.961092  -9253.086423        424   \n",
       "Montana                          0.0  2630.582703  -6143.222113        171   \n",
       "Rhode Island                     0.0   208.275711   -357.320525        408   \n",
       "Utah                             0.0  1149.410881  -3236.285569        804   \n",
       "Grand Princess                   0.0     0.000000      0.000000        103   \n",
       "New Hampshire                    0.0   434.789729   -715.776567        314   \n",
       "Maine                            0.0   715.003014  -1112.380298        275   \n",
       "Alaska                           0.0  1747.579877  -4229.319334        114   \n",
       "Nebraska                         0.0  3842.926930  -9210.628137        145   \n",
       "North Dakota                     0.0  2511.855857  -5313.217852        109   \n",
       "New Mexico                       0.0  1172.481604  -3601.107483        237   \n",
       "West Virginia                    0.0  2134.783954  -4433.959998        145   \n",
       "Guam                             0.0    13.444300    144.793700         58   \n",
       "South Dakota                     0.0  2921.997865  -6554.501988        101   \n",
       "American Samoa                   0.0   -14.271000   -170.132000          0   \n",
       "Northern Mariana Islands         0.0    15.097900    145.673900          0   \n",
       "Virgin Islands                   0.0    18.335800    -64.896300          0   \n",
       "Diamond Princess                 0.0     0.000000      0.000000         49   \n",
       "Recovered                        0.0     0.000000      0.000000          0   \n",
       "Hawaii                           0.0   105.141415   -786.616182        175   \n",
       "Wyoming                          0.0   990.998367  -2464.524571         94   \n",
       "\n",
       "                          Deaths  Recovered  Active  \n",
       "Province_State                                       \n",
       "New York                    1218          0       0  \n",
       "Washington                   205          0       0  \n",
       "New Jersey                   198          0       0  \n",
       "Louisiana                    185          0       0  \n",
       "Michigan                     184          0       0  \n",
       "California                   146          0       0  \n",
       "Georgia                       87          0       0  \n",
       "Illinois                      73          0       0  \n",
       "Florida                       63          0       0  \n",
       "Massachusetts                 56          0       0  \n",
       "Pennsylvania                  50          0       0  \n",
       "Colorado                      47          0       0  \n",
       "Texas                         45          0       0  \n",
       "Ohio                          40          0       0  \n",
       "Connecticut                   36          0       0  \n",
       "Indiana                       35          0       0  \n",
       "Arizona                       20          0       0  \n",
       "Wisconsin                     20          0       0  \n",
       "South Carolina                18          0       0  \n",
       "Mississippi                   16          0       0  \n",
       "Oklahoma                      16          0       0  \n",
       "Oregon                        16          0       0  \n",
       "Nevada                        15          0       0  \n",
       "Maryland                      15          0       0  \n",
       "Virginia                      15          0       0  \n",
       "Tennessee                     14          0       0  \n",
       "Missouri                      13          0       0  \n",
       "Vermont                       12          0       0  \n",
       "Kentucky                      11          0       0  \n",
       "Alabama                       10          0       0  \n",
       "Minnesota                     10          0       0  \n",
       "District of Columbia           9          0       0  \n",
       "Kansas                         8          0       0  \n",
       "Arkansas                       7          0       0  \n",
       "North Carolina                 7          0       0  \n",
       "Puerto Rico                    6          0       0  \n",
       "Delaware                       6          0       0  \n",
       "Idaho                          6          0       0  \n",
       "Iowa                           6          0       0  \n",
       "Montana                        5          0       0  \n",
       "Rhode Island                   4          0       0  \n",
       "Utah                           4          0       0  \n",
       "Grand Princess                 3          0       0  \n",
       "New Hampshire                  3          0       0  \n",
       "Maine                          3          0       0  \n",
       "Alaska                         3          0       0  \n",
       "Nebraska                       2          0       0  \n",
       "North Dakota                   2          0       0  \n",
       "New Mexico                     2          0       0  \n",
       "West Virginia                  1          0       0  \n",
       "Guam                           1          0       0  \n",
       "South Dakota                   1          0       0  \n",
       "American Samoa                 0          0       0  \n",
       "Northern Mariana Islands       0          0       0  \n",
       "Virgin Islands                 0          0       0  \n",
       "Diamond Princess               0          0       0  \n",
       "Recovered                      0       5644       0  \n",
       "Hawaii                         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": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
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       "      <th>Province_State</th>\n",
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       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>New Jersey</td>\n",
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       "      <td>2020-03-30 22:52:45</td>\n",
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       "      <th>34003.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bergen</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
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       "      <td>23</td>\n",
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       "      <td>Bergen, New Jersey, US</td>\n",
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       "      <th>34013.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.786813</td>\n",
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       "      <td>Essex, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34017.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.737662</td>\n",
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       "      <td>1314</td>\n",
       "      <td>7</td>\n",
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       "      <td>0</td>\n",
       "      <td>Hudson, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34039.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Union</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.658354</td>\n",
       "      <td>-74.306801</td>\n",
       "      <td>1213</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Union, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34023.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Middlesex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.436299</td>\n",
       "      <td>-74.414270</td>\n",
       "      <td>1123</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Middlesex, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34031.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Passaic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.032386</td>\n",
       "      <td>-74.299541</td>\n",
       "      <td>1091</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Passaic, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34025.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Monmouth</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.265497</td>\n",
       "      <td>-74.222407</td>\n",
       "      <td>1030</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monmouth, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34029.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ocean</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.889545</td>\n",
       "      <td>-74.280893</td>\n",
       "      <td>874</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ocean, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34027.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Morris</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.860953</td>\n",
       "      <td>-74.545537</td>\n",
       "      <td>720</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Morris, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34035.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Somerset</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.564657</td>\n",
       "      <td>-74.616830</td>\n",
       "      <td>349</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Somerset, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34021.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mercer</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.280470</td>\n",
       "      <td>-74.704796</td>\n",
       "      <td>249</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>34007.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Camden</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.803438</td>\n",
       "      <td>-74.963888</td>\n",
       "      <td>200</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>34005.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Burlington</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.876811</td>\n",
       "      <td>-74.669278</td>\n",
       "      <td>178</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Burlington, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34037.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Sussex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.138916</td>\n",
       "      <td>-74.691182</td>\n",
       "      <td>113</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sussex, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34015.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Gloucester</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.715811</td>\n",
       "      <td>-75.139955</td>\n",
       "      <td>89</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>34019.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hunterdon</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.563352</td>\n",
       "      <td>-74.912842</td>\n",
       "      <td>79</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>34041.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.859518</td>\n",
       "      <td>-74.995565</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34001.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.475387</td>\n",
       "      <td>-74.658485</td>\n",
       "      <td>29</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>34011.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cumberland</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.371994</td>\n",
       "      <td>-75.107126</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cumberland, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34009.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cape May</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.150088</td>\n",
       "      <td>-74.801702</td>\n",
       "      <td>9</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>34033.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Salem</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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": [
       "         Unnamed: 0      Admin2 Province_State Country_Region  \\\n",
       "FIPS                                                            \n",
       "NaN             NaN  Unassigned     New Jersey             US   \n",
       "34003.0         NaN      Bergen     New Jersey             US   \n",
       "34013.0         NaN       Essex     New Jersey             US   \n",
       "34017.0         NaN      Hudson     New Jersey             US   \n",
       "34039.0         NaN       Union     New Jersey             US   \n",
       "34023.0         NaN   Middlesex     New Jersey             US   \n",
       "34031.0         NaN     Passaic     New Jersey             US   \n",
       "34025.0         NaN    Monmouth     New Jersey             US   \n",
       "34029.0         NaN       Ocean     New Jersey             US   \n",
       "34027.0         NaN      Morris     New Jersey             US   \n",
       "34035.0         NaN    Somerset     New Jersey             US   \n",
       "34021.0         NaN      Mercer     New Jersey             US   \n",
       "34007.0         NaN      Camden     New Jersey             US   \n",
       "34005.0         NaN  Burlington     New Jersey             US   \n",
       "34037.0         NaN      Sussex     New Jersey             US   \n",
       "34015.0         NaN  Gloucester     New Jersey             US   \n",
       "34019.0         NaN   Hunterdon     New Jersey             US   \n",
       "34041.0         NaN      Warren     New Jersey             US   \n",
       "34001.0         NaN    Atlantic     New Jersey             US   \n",
       "34011.0         NaN  Cumberland     New Jersey             US   \n",
       "34009.0         NaN    Cape May     New Jersey             US   \n",
       "34033.0         NaN       Salem     New Jersey             US   \n",
       "\n",
       "                 Last_Update        Lat      Long_  Confirmed  Deaths  \\\n",
       "FIPS                                                                    \n",
       "NaN      2020-03-30 22:52:45   0.000000   0.000000       3847      91   \n",
       "34003.0  2020-03-30 22:52:45  40.960109 -74.071643       2482      23   \n",
       "34013.0  2020-03-30 22:52:45  40.786813 -74.246580       1564      13   \n",
       "34017.0  2020-03-30 22:52:45  40.737662 -74.075157       1314       7   \n",
       "34039.0  2020-03-30 22:52:45  40.658354 -74.306801       1213       7   \n",
       "34023.0  2020-03-30 22:52:45  40.436299 -74.414270       1123      12   \n",
       "34031.0  2020-03-30 22:52:45  41.032386 -74.299541       1091      10   \n",
       "34025.0  2020-03-30 22:52:45  40.265497 -74.222407       1030       8   \n",
       "34029.0  2020-03-30 22:52:45  39.889545 -74.280893        874       6   \n",
       "34027.0  2020-03-30 22:52:45  40.860953 -74.545537        720       8   \n",
       "34035.0  2020-03-30 22:52:45  40.564657 -74.616830        349       6   \n",
       "34021.0  2020-03-30 22:52:45  40.280470 -74.704796        249       0   \n",
       "34007.0  2020-03-30 22:52:45  39.803438 -74.963888        200       1   \n",
       "34005.0  2020-03-30 22:52:45  39.876811 -74.669278        178       2   \n",
       "34037.0  2020-03-30 22:52:45  41.138916 -74.691182        113       1   \n",
       "34015.0  2020-03-30 22:52:45  39.715811 -75.139955         89       1   \n",
       "34019.0  2020-03-30 22:52:45  40.563352 -74.912842         79       0   \n",
       "34041.0  2020-03-30 22:52:45  40.859518 -74.995565         68       1   \n",
       "34001.0  2020-03-30 22:52:45  39.475387 -74.658485         29       0   \n",
       "34011.0  2020-03-30 22:52:45  39.371994 -75.107126         12       1   \n",
       "34009.0  2020-03-30 22:52:45  39.150088 -74.801702          9       0   \n",
       "34033.0  2020-03-30 22:52:45  39.587197 -75.346966          3       0   \n",
       "\n",
       "         Recovered  Active                Combined_Key  \n",
       "FIPS                                                    \n",
       "NaN              0       0  Unassigned, New Jersey, US  \n",
       "34003.0          0       0      Bergen, New Jersey, US  \n",
       "34013.0          0       0       Essex, New Jersey, US  \n",
       "34017.0          0       0      Hudson, New Jersey, US  \n",
       "34039.0          0       0       Union, New Jersey, US  \n",
       "34023.0          0       0   Middlesex, New Jersey, US  \n",
       "34031.0          0       0     Passaic, New Jersey, US  \n",
       "34025.0          0       0    Monmouth, New Jersey, US  \n",
       "34029.0          0       0       Ocean, New Jersey, US  \n",
       "34027.0          0       0      Morris, New Jersey, US  \n",
       "34035.0          0       0    Somerset, New Jersey, US  \n",
       "34021.0          0       0      Mercer, New Jersey, US  \n",
       "34007.0          0       0      Camden, New Jersey, US  \n",
       "34005.0          0       0  Burlington, New Jersey, US  \n",
       "34037.0          0       0      Sussex, New Jersey, US  \n",
       "34015.0          0       0  Gloucester, New Jersey, US  \n",
       "34019.0          0       0   Hunterdon, New Jersey, US  \n",
       "34041.0          0       0      Warren, New Jersey, US  \n",
       "34001.0          0       0    Atlantic, New Jersey, US  \n",
       "34011.0          0       0  Cumberland, New Jersey, US  \n",
       "34009.0          0       0    Cape May, New Jersey, US  \n",
       "34033.0          0       0       Salem, New Jersey, US  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New Jersey'].sort_values(by='Confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Country_Region</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>FIPS</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Unassigned</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3847</td>\n",
       "      <td>91</td>\n",
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       "      <td>Unassigned, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34003.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bergen</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.960109</td>\n",
       "      <td>-74.071643</td>\n",
       "      <td>2482</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Bergen, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34013.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.786813</td>\n",
       "      <td>-74.246580</td>\n",
       "      <td>1564</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Essex, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34023.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Middlesex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.436299</td>\n",
       "      <td>-74.414270</td>\n",
       "      <td>1123</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Middlesex, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34031.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Passaic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.032386</td>\n",
       "      <td>-74.299541</td>\n",
       "      <td>1091</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Passaic, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34027.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Morris</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.860953</td>\n",
       "      <td>-74.545537</td>\n",
       "      <td>720</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Morris, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34025.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Monmouth</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.265497</td>\n",
       "      <td>-74.222407</td>\n",
       "      <td>1030</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monmouth, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34039.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Union</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.658354</td>\n",
       "      <td>-74.306801</td>\n",
       "      <td>1213</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Union, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34017.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hudson</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.737662</td>\n",
       "      <td>-74.075157</td>\n",
       "      <td>1314</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hudson, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34035.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Somerset</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.564657</td>\n",
       "      <td>-74.616830</td>\n",
       "      <td>349</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Somerset, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34029.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ocean</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.889545</td>\n",
       "      <td>-74.280893</td>\n",
       "      <td>874</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ocean, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34005.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Burlington</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.876811</td>\n",
       "      <td>-74.669278</td>\n",
       "      <td>178</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Burlington, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34037.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Sussex</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.138916</td>\n",
       "      <td>-74.691182</td>\n",
       "      <td>113</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Sussex, New Jersey, US</td>\n",
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       "    <tr>\n",
       "      <th>34041.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.859518</td>\n",
       "      <td>-74.995565</td>\n",
       "      <td>68</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Warren, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34015.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Gloucester</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.715811</td>\n",
       "      <td>-75.139955</td>\n",
       "      <td>89</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>34011.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cumberland</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.371994</td>\n",
       "      <td>-75.107126</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Cumberland, New Jersey, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34007.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Camden</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.803438</td>\n",
       "      <td>-74.963888</td>\n",
       "      <td>200</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>34021.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Mercer</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.280470</td>\n",
       "      <td>-74.704796</td>\n",
       "      <td>249</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>34019.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Hunterdon</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.563352</td>\n",
       "      <td>-74.912842</td>\n",
       "      <td>79</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>34033.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Salem</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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",
       "    <tr>\n",
       "      <th>34009.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cape May</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.150088</td>\n",
       "      <td>-74.801702</td>\n",
       "      <td>9</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>34001.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Atlantic</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>39.475387</td>\n",
       "      <td>-74.658485</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Atlantic, New Jersey, US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0      Admin2 Province_State Country_Region  \\\n",
       "FIPS                                                            \n",
       "NaN             NaN  Unassigned     New Jersey             US   \n",
       "34003.0         NaN      Bergen     New Jersey             US   \n",
       "34013.0         NaN       Essex     New Jersey             US   \n",
       "34023.0         NaN   Middlesex     New Jersey             US   \n",
       "34031.0         NaN     Passaic     New Jersey             US   \n",
       "34027.0         NaN      Morris     New Jersey             US   \n",
       "34025.0         NaN    Monmouth     New Jersey             US   \n",
       "34039.0         NaN       Union     New Jersey             US   \n",
       "34017.0         NaN      Hudson     New Jersey             US   \n",
       "34035.0         NaN    Somerset     New Jersey             US   \n",
       "34029.0         NaN       Ocean     New Jersey             US   \n",
       "34005.0         NaN  Burlington     New Jersey             US   \n",
       "34037.0         NaN      Sussex     New Jersey             US   \n",
       "34041.0         NaN      Warren     New Jersey             US   \n",
       "34015.0         NaN  Gloucester     New Jersey             US   \n",
       "34011.0         NaN  Cumberland     New Jersey             US   \n",
       "34007.0         NaN      Camden     New Jersey             US   \n",
       "34021.0         NaN      Mercer     New Jersey             US   \n",
       "34019.0         NaN   Hunterdon     New Jersey             US   \n",
       "34033.0         NaN       Salem     New Jersey             US   \n",
       "34009.0         NaN    Cape May     New Jersey             US   \n",
       "34001.0         NaN    Atlantic     New Jersey             US   \n",
       "\n",
       "                 Last_Update        Lat      Long_  Confirmed  Deaths  \\\n",
       "FIPS                                                                    \n",
       "NaN      2020-03-30 22:52:45   0.000000   0.000000       3847      91   \n",
       "34003.0  2020-03-30 22:52:45  40.960109 -74.071643       2482      23   \n",
       "34013.0  2020-03-30 22:52:45  40.786813 -74.246580       1564      13   \n",
       "34023.0  2020-03-30 22:52:45  40.436299 -74.414270       1123      12   \n",
       "34031.0  2020-03-30 22:52:45  41.032386 -74.299541       1091      10   \n",
       "34027.0  2020-03-30 22:52:45  40.860953 -74.545537        720       8   \n",
       "34025.0  2020-03-30 22:52:45  40.265497 -74.222407       1030       8   \n",
       "34039.0  2020-03-30 22:52:45  40.658354 -74.306801       1213       7   \n",
       "34017.0  2020-03-30 22:52:45  40.737662 -74.075157       1314       7   \n",
       "34035.0  2020-03-30 22:52:45  40.564657 -74.616830        349       6   \n",
       "34029.0  2020-03-30 22:52:45  39.889545 -74.280893        874       6   \n",
       "34005.0  2020-03-30 22:52:45  39.876811 -74.669278        178       2   \n",
       "34037.0  2020-03-30 22:52:45  41.138916 -74.691182        113       1   \n",
       "34041.0  2020-03-30 22:52:45  40.859518 -74.995565         68       1   \n",
       "34015.0  2020-03-30 22:52:45  39.715811 -75.139955         89       1   \n",
       "34011.0  2020-03-30 22:52:45  39.371994 -75.107126         12       1   \n",
       "34007.0  2020-03-30 22:52:45  39.803438 -74.963888        200       1   \n",
       "34021.0  2020-03-30 22:52:45  40.280470 -74.704796        249       0   \n",
       "34019.0  2020-03-30 22:52:45  40.563352 -74.912842         79       0   \n",
       "34033.0  2020-03-30 22:52:45  39.587197 -75.346966          3       0   \n",
       "34009.0  2020-03-30 22:52:45  39.150088 -74.801702          9       0   \n",
       "34001.0  2020-03-30 22:52:45  39.475387 -74.658485         29       0   \n",
       "\n",
       "         Recovered  Active                Combined_Key  \n",
       "FIPS                                                    \n",
       "NaN              0       0  Unassigned, New Jersey, US  \n",
       "34003.0          0       0      Bergen, New Jersey, US  \n",
       "34013.0          0       0       Essex, New Jersey, US  \n",
       "34023.0          0       0   Middlesex, New Jersey, US  \n",
       "34031.0          0       0     Passaic, New Jersey, US  \n",
       "34027.0          0       0      Morris, New Jersey, US  \n",
       "34025.0          0       0    Monmouth, New Jersey, US  \n",
       "34039.0          0       0       Union, New Jersey, US  \n",
       "34017.0          0       0      Hudson, New Jersey, US  \n",
       "34035.0          0       0    Somerset, New Jersey, US  \n",
       "34029.0          0       0       Ocean, New Jersey, US  \n",
       "34005.0          0       0  Burlington, New Jersey, US  \n",
       "34037.0          0       0      Sussex, New Jersey, US  \n",
       "34041.0          0       0      Warren, New Jersey, US  \n",
       "34015.0          0       0  Gloucester, New Jersey, US  \n",
       "34011.0          0       0  Cumberland, New Jersey, US  \n",
       "34007.0          0       0      Camden, New Jersey, US  \n",
       "34021.0          0       0      Mercer, New Jersey, US  \n",
       "34019.0          0       0   Hunterdon, New Jersey, US  \n",
       "34033.0          0       0       Salem, New Jersey, US  \n",
       "34009.0          0       0    Cape May, New Jersey, US  \n",
       "34001.0          0       0    Atlantic, New Jersey, US  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New Jersey'].sort_values(by='Deaths', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>Province_State</th>\n",
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       "      <th>Combined_Key</th>\n",
       "    </tr>\n",
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       "      <th>FIPS</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36123.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Yates</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
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       "    <tr>\n",
       "      <th>36081.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Queens</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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>36099.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Seneca</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.780810</td>\n",
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       "      <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>2020-03-30 22:52:45</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unassigned, New York, US</td>\n",
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       "      <th>36049.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.784416</td>\n",
       "      <td>-75.449040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>Lewis, New York, US</td>\n",
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       "      <th>36047.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Kings</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.636182</td>\n",
       "      <td>-73.949356</td>\n",
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       "      <td>Kings, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36085.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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>36005.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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",
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       "    <tr>\n",
       "      <th>36035.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Fulton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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",
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       "    <tr>\n",
       "      <th>36097.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schuyler</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.391840</td>\n",
       "      <td>-76.877330</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>Schuyler, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36041.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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",
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       "    <tr>\n",
       "      <th>36011.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cayuga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.912617</td>\n",
       "      <td>-76.557316</td>\n",
       "      <td>3</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>36073.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Orleans</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.251698</td>\n",
       "      <td>-78.232007</td>\n",
       "      <td>4</td>\n",
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       "      <td>Orleans, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36031.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Essex</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.116308</td>\n",
       "      <td>-73.772978</td>\n",
       "      <td>5</td>\n",
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       "      <td>0</td>\n",
       "      <td>Essex, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36095.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schoharie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.588317</td>\n",
       "      <td>-74.443390</td>\n",
       "      <td>6</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>36033.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.590409</td>\n",
       "      <td>-74.299260</td>\n",
       "      <td>6</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>36009.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cattaraugus</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.247782</td>\n",
       "      <td>-78.679231</td>\n",
       "      <td>6</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>36057.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Montgomery</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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>36107.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tioga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.168528</td>\n",
       "      <td>-76.308358</td>\n",
       "      <td>7</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>36003.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Allegany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.257484</td>\n",
       "      <td>-78.027505</td>\n",
       "      <td>7</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>36013.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chautauqua</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.227692</td>\n",
       "      <td>-79.366918</td>\n",
       "      <td>7</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>36121.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.701451</td>\n",
       "      <td>-78.221996</td>\n",
       "      <td>8</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>36037.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Genesee</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.002260</td>\n",
       "      <td>-78.191352</td>\n",
       "      <td>9</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>36115.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Washington</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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>36039.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Greene</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.275797</td>\n",
       "      <td>-74.123849</td>\n",
       "      <td>10</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>36023.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cortland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.595092</td>\n",
       "      <td>-76.070489</td>\n",
       "      <td>10</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>36025.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.198376</td>\n",
       "      <td>-74.967093</td>\n",
       "      <td>11</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>36045.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.042010</td>\n",
       "      <td>-75.946535</td>\n",
       "      <td>11</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>36043.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Herkimer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.420342</td>\n",
       "      <td>-74.961453</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Herkimer, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36051.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.725963</td>\n",
       "      <td>-77.779662</td>\n",
       "      <td>13</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>36089.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>St. Lawrence</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.497618</td>\n",
       "      <td>-75.065500</td>\n",
       "      <td>13</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>36117.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Wayne</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.154944</td>\n",
       "      <td>-77.029765</td>\n",
       "      <td>15</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>36075.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Oswego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.427789</td>\n",
       "      <td>-76.146352</td>\n",
       "      <td>15</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>36015.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chemung</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.138911</td>\n",
       "      <td>-76.763880</td>\n",
       "      <td>15</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>36077.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Otsego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.634926</td>\n",
       "      <td>-75.031514</td>\n",
       "      <td>17</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>36019.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.745309</td>\n",
       "      <td>-73.678754</td>\n",
       "      <td>17</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>36017.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chenango</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.494300</td>\n",
       "      <td>-75.608876</td>\n",
       "      <td>17</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>36113.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.561730</td>\n",
       "      <td>-73.843370</td>\n",
       "      <td>18</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>36101.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Steuben</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.268914</td>\n",
       "      <td>-77.382992</td>\n",
       "      <td>19</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>36069.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ontario</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.851457</td>\n",
       "      <td>-77.308744</td>\n",
       "      <td>20</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>36065.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Oneida</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.243754</td>\n",
       "      <td>-75.437104</td>\n",
       "      <td>34</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>36007.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Broome</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.159032</td>\n",
       "      <td>-75.813261</td>\n",
       "      <td>35</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>36021.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.248193</td>\n",
       "      <td>-73.630891</td>\n",
       "      <td>36</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>36063.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Niagara</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.198980</td>\n",
       "      <td>-78.747774</td>\n",
       "      <td>41</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>36053.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Madison</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.916539</td>\n",
       "      <td>-75.672666</td>\n",
       "      <td>42</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>36083.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Rensselaer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.713481</td>\n",
       "      <td>-73.510899</td>\n",
       "      <td>52</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>36109.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tompkins</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.449458</td>\n",
       "      <td>-76.472298</td>\n",
       "      <td>70</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>36093.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schenectady</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.816688</td>\n",
       "      <td>-74.052783</td>\n",
       "      <td>80</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>36105.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Sullivan</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.715795</td>\n",
       "      <td>-74.763946</td>\n",
       "      <td>101</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>36091.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saratoga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.109042</td>\n",
       "      <td>-73.866539</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Saratoga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36079.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.426301</td>\n",
       "      <td>-73.749655</td>\n",
       "      <td>167</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>36111.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ulster</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.890279</td>\n",
       "      <td>-74.262521</td>\n",
       "      <td>190</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>36001.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Albany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.600603</td>\n",
       "      <td>-73.977239</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Albany, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36067.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Onondaga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.004919</td>\n",
       "      <td>-76.199712</td>\n",
       "      <td>228</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>36055.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Monroe</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.146389</td>\n",
       "      <td>-77.693229</td>\n",
       "      <td>246</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monroe, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36027.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dutchess</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.764861</td>\n",
       "      <td>-73.743567</td>\n",
       "      <td>392</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>36029.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Erie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.762490</td>\n",
       "      <td>-78.730637</td>\n",
       "      <td>443</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Erie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36071.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Orange</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.403375</td>\n",
       "      <td>-74.302408</td>\n",
       "      <td>1435</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orange, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36087.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Rockland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.150279</td>\n",
       "      <td>-74.025605</td>\n",
       "      <td>2511</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>36103.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Suffolk</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.883201</td>\n",
       "      <td>-72.801217</td>\n",
       "      <td>5791</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Suffolk, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36059.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nassau</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.740665</td>\n",
       "      <td>-73.589419</td>\n",
       "      <td>7344</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nassau, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36119.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Westchester</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.162784</td>\n",
       "      <td>-73.757417</td>\n",
       "      <td>9326</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>36061.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.767273</td>\n",
       "      <td>-73.971526</td>\n",
       "      <td>37453</td>\n",
       "      <td>790</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": [
       "         Unnamed: 0         Admin2 Province_State Country_Region  \\\n",
       "FIPS                                                               \n",
       "36123.0         NaN          Yates       New York             US   \n",
       "36081.0         NaN         Queens       New York             US   \n",
       "36099.0         NaN         Seneca       New York             US   \n",
       "NaN             NaN     Unassigned       New York             US   \n",
       "36049.0         NaN          Lewis       New York             US   \n",
       "36047.0         NaN          Kings       New York             US   \n",
       "36085.0         NaN       Richmond       New York             US   \n",
       "36005.0         NaN          Bronx       New York             US   \n",
       "36035.0         NaN         Fulton       New York             US   \n",
       "36097.0         NaN       Schuyler       New York             US   \n",
       "36041.0         NaN       Hamilton       New York             US   \n",
       "36011.0         NaN         Cayuga       New York             US   \n",
       "36073.0         NaN        Orleans       New York             US   \n",
       "36031.0         NaN          Essex       New York             US   \n",
       "36095.0         NaN      Schoharie       New York             US   \n",
       "36033.0         NaN       Franklin       New York             US   \n",
       "36009.0         NaN    Cattaraugus       New York             US   \n",
       "36057.0         NaN     Montgomery       New York             US   \n",
       "36107.0         NaN          Tioga       New York             US   \n",
       "36003.0         NaN       Allegany       New York             US   \n",
       "36013.0         NaN     Chautauqua       New York             US   \n",
       "36121.0         NaN        Wyoming       New York             US   \n",
       "36037.0         NaN        Genesee       New York             US   \n",
       "36115.0         NaN     Washington       New York             US   \n",
       "36039.0         NaN         Greene       New York             US   \n",
       "36023.0         NaN       Cortland       New York             US   \n",
       "36025.0         NaN       Delaware       New York             US   \n",
       "36045.0         NaN      Jefferson       New York             US   \n",
       "36043.0         NaN       Herkimer       New York             US   \n",
       "36051.0         NaN     Livingston       New York             US   \n",
       "36089.0         NaN   St. Lawrence       New York             US   \n",
       "36117.0         NaN          Wayne       New York             US   \n",
       "36075.0         NaN         Oswego       New York             US   \n",
       "36015.0         NaN        Chemung       New York             US   \n",
       "36077.0         NaN         Otsego       New York             US   \n",
       "36019.0         NaN        Clinton       New York             US   \n",
       "36017.0         NaN       Chenango       New York             US   \n",
       "36113.0         NaN         Warren       New York             US   \n",
       "36101.0         NaN        Steuben       New York             US   \n",
       "36069.0         NaN        Ontario       New York             US   \n",
       "36065.0         NaN         Oneida       New York             US   \n",
       "36007.0         NaN         Broome       New York             US   \n",
       "36021.0         NaN       Columbia       New York             US   \n",
       "36063.0         NaN        Niagara       New York             US   \n",
       "36053.0         NaN        Madison       New York             US   \n",
       "36083.0         NaN     Rensselaer       New York             US   \n",
       "36109.0         NaN       Tompkins       New York             US   \n",
       "36093.0         NaN    Schenectady       New York             US   \n",
       "36105.0         NaN       Sullivan       New York             US   \n",
       "36091.0         NaN       Saratoga       New York             US   \n",
       "36079.0         NaN         Putnam       New York             US   \n",
       "36111.0         NaN         Ulster       New York             US   \n",
       "36001.0         NaN         Albany       New York             US   \n",
       "36067.0         NaN       Onondaga       New York             US   \n",
       "36055.0         NaN         Monroe       New York             US   \n",
       "36027.0         NaN       Dutchess       New York             US   \n",
       "36029.0         NaN           Erie       New York             US   \n",
       "36071.0         NaN         Orange       New York             US   \n",
       "36087.0         NaN       Rockland       New York             US   \n",
       "36103.0         NaN        Suffolk       New York             US   \n",
       "36059.0         NaN         Nassau       New York             US   \n",
       "36119.0         NaN    Westchester       New York             US   \n",
       "36061.0         NaN  New York City       New York             US   \n",
       "\n",
       "                 Last_Update        Lat      Long_  Confirmed  Deaths  \\\n",
       "FIPS                                                                    \n",
       "36123.0  2020-03-30 22:52:45  42.635055 -77.103699          0       0   \n",
       "36081.0  2020-03-30 22:52:45  40.710881 -73.816847          0       0   \n",
       "36099.0  2020-03-30 22:52:45  42.780810 -76.824971          0       0   \n",
       "NaN      2020-03-30 22:52:45   0.000000   0.000000          0     298   \n",
       "36049.0  2020-03-30 22:52:45  43.784416 -75.449040          0       0   \n",
       "36047.0  2020-03-30 22:52:45  40.636182 -73.949356          0       0   \n",
       "36085.0  2020-03-30 22:52:45  40.585822 -74.148086          0       0   \n",
       "36005.0  2020-03-30 22:52:45  40.852093 -73.862828          0       0   \n",
       "36035.0  2020-03-30 22:52:45  43.113639 -74.417988          1       0   \n",
       "36097.0  2020-03-30 22:52:45  42.391840 -76.877330          2       0   \n",
       "36041.0  2020-03-30 22:52:45  43.661466 -74.497220          2       0   \n",
       "36011.0  2020-03-30 22:52:45  42.912617 -76.557316          3       0   \n",
       "36073.0  2020-03-30 22:52:45  43.251698 -78.232007          4       0   \n",
       "36031.0  2020-03-30 22:52:45  44.116308 -73.772978          5       0   \n",
       "36095.0  2020-03-30 22:52:45  42.588317 -74.443390          6       0   \n",
       "36033.0  2020-03-30 22:52:45  44.590409 -74.299260          6       0   \n",
       "36009.0  2020-03-30 22:52:45  42.247782 -78.679231          6       0   \n",
       "36057.0  2020-03-30 22:52:45  42.901235 -74.440116          6       0   \n",
       "36107.0  2020-03-30 22:52:45  42.168528 -76.308358          7       0   \n",
       "36003.0  2020-03-30 22:52:45  42.257484 -78.027505          7       0   \n",
       "36013.0  2020-03-30 22:52:45  42.227692 -79.366918          7       0   \n",
       "36121.0  2020-03-30 22:52:45  42.701451 -78.221996          8       1   \n",
       "36037.0  2020-03-30 22:52:45  43.002260 -78.191352          9       0   \n",
       "36115.0  2020-03-30 22:52:45  43.311538 -73.430434          9       0   \n",
       "36039.0  2020-03-30 22:52:45  42.275797 -74.123849         10       0   \n",
       "36023.0  2020-03-30 22:52:45  42.595092 -76.070489         10       0   \n",
       "36025.0  2020-03-30 22:52:45  42.198376 -74.967093         11       0   \n",
       "36045.0  2020-03-30 22:52:45  44.042010 -75.946535         11       0   \n",
       "36043.0  2020-03-30 22:52:45  43.420342 -74.961453         12       2   \n",
       "36051.0  2020-03-30 22:52:45  42.725963 -77.779662         13       0   \n",
       "36089.0  2020-03-30 22:52:45  44.497618 -75.065500         13       0   \n",
       "36117.0  2020-03-30 22:52:45  43.154944 -77.029765         15       0   \n",
       "36075.0  2020-03-30 22:52:45  43.427789 -76.146352         15       0   \n",
       "36015.0  2020-03-30 22:52:45  42.138911 -76.763880         15       0   \n",
       "36077.0  2020-03-30 22:52:45  42.634926 -75.031514         17       1   \n",
       "36019.0  2020-03-30 22:52:45  44.745309 -73.678754         17       0   \n",
       "36017.0  2020-03-30 22:52:45  42.494300 -75.608876         17       0   \n",
       "36113.0  2020-03-30 22:52:45  43.561730 -73.843370         18       0   \n",
       "36101.0  2020-03-30 22:52:45  42.268914 -77.382992         19       0   \n",
       "36069.0  2020-03-30 22:52:45  42.851457 -77.308744         20       0   \n",
       "36065.0  2020-03-30 22:52:45  43.243754 -75.437104         34       0   \n",
       "36007.0  2020-03-30 22:52:45  42.159032 -75.813261         35       3   \n",
       "36021.0  2020-03-30 22:52:45  42.248193 -73.630891         36       1   \n",
       "36063.0  2020-03-30 22:52:45  43.198980 -78.747774         41       0   \n",
       "36053.0  2020-03-30 22:52:45  42.916539 -75.672666         42       1   \n",
       "36083.0  2020-03-30 22:52:45  42.713481 -73.510899         52       0   \n",
       "36109.0  2020-03-30 22:52:45  42.449458 -76.472298         70       0   \n",
       "36093.0  2020-03-30 22:52:45  42.816688 -74.052783         80       1   \n",
       "36105.0  2020-03-30 22:52:45  41.715795 -74.763946        101       0   \n",
       "36091.0  2020-03-30 22:52:45  43.109042 -73.866539        108       1   \n",
       "36079.0  2020-03-30 22:52:45  41.426301 -73.749655        167       0   \n",
       "36111.0  2020-03-30 22:52:45  41.890279 -74.262521        190       0   \n",
       "36001.0  2020-03-30 22:52:45  42.600603 -73.977239        217       1   \n",
       "36067.0  2020-03-30 22:52:45  43.004919 -76.199712        228       1   \n",
       "36055.0  2020-03-30 22:52:45  43.146389 -77.693229        246       6   \n",
       "36027.0  2020-03-30 22:52:45  41.764861 -73.743567        392       2   \n",
       "36029.0  2020-03-30 22:52:45  42.762490 -78.730637        443       7   \n",
       "36071.0  2020-03-30 22:52:45  41.403375 -74.302408       1435       5   \n",
       "36087.0  2020-03-30 22:52:45  41.150279 -74.025605       2511       8   \n",
       "36103.0  2020-03-30 22:52:45  40.883201 -72.801217       5791      40   \n",
       "36059.0  2020-03-30 22:52:45  40.740665 -73.589419       7344      39   \n",
       "36119.0  2020-03-30 22:52:45  41.162784 -73.757417       9326      10   \n",
       "36061.0  2020-03-30 22:52:45  40.767273 -73.971526      37453     790   \n",
       "\n",
       "         Recovered  Active                 Combined_Key  \n",
       "FIPS                                                     \n",
       "36123.0          0       0          Yates, New York, US  \n",
       "36081.0          0       0         Queens, New York, US  \n",
       "36099.0          0       0         Seneca, New York, US  \n",
       "NaN              0       0     Unassigned, New York, US  \n",
       "36049.0          0       0          Lewis, New York, US  \n",
       "36047.0          0       0          Kings, New York, US  \n",
       "36085.0          0       0       Richmond, New York, US  \n",
       "36005.0          0       0          Bronx, New York, US  \n",
       "36035.0          0       0         Fulton, New York, US  \n",
       "36097.0          0       0       Schuyler, New York, US  \n",
       "36041.0          0       0       Hamilton, New York, US  \n",
       "36011.0          0       0         Cayuga, New York, US  \n",
       "36073.0          0       0        Orleans, New York, US  \n",
       "36031.0          0       0          Essex, New York, US  \n",
       "36095.0          0       0      Schoharie, New York, US  \n",
       "36033.0          0       0       Franklin, New York, US  \n",
       "36009.0          0       0    Cattaraugus, New York, US  \n",
       "36057.0          0       0     Montgomery, New York, US  \n",
       "36107.0          0       0          Tioga, New York, US  \n",
       "36003.0          0       0       Allegany, New York, US  \n",
       "36013.0          0       0     Chautauqua, New York, US  \n",
       "36121.0          0       0        Wyoming, New York, US  \n",
       "36037.0          0       0        Genesee, New York, US  \n",
       "36115.0          0       0     Washington, New York, US  \n",
       "36039.0          0       0         Greene, New York, US  \n",
       "36023.0          0       0       Cortland, New York, US  \n",
       "36025.0          0       0       Delaware, New York, US  \n",
       "36045.0          0       0      Jefferson, New York, US  \n",
       "36043.0          0       0       Herkimer, New York, US  \n",
       "36051.0          0       0     Livingston, New York, US  \n",
       "36089.0          0       0   St. Lawrence, New York, US  \n",
       "36117.0          0       0          Wayne, New York, US  \n",
       "36075.0          0       0         Oswego, New York, US  \n",
       "36015.0          0       0        Chemung, New York, US  \n",
       "36077.0          0       0         Otsego, New York, US  \n",
       "36019.0          0       0        Clinton, New York, US  \n",
       "36017.0          0       0       Chenango, New York, US  \n",
       "36113.0          0       0         Warren, New York, US  \n",
       "36101.0          0       0        Steuben, New York, US  \n",
       "36069.0          0       0        Ontario, New York, US  \n",
       "36065.0          0       0         Oneida, New York, US  \n",
       "36007.0          0       0         Broome, New York, US  \n",
       "36021.0          0       0       Columbia, New York, US  \n",
       "36063.0          0       0        Niagara, New York, US  \n",
       "36053.0          0       0        Madison, New York, US  \n",
       "36083.0          0       0     Rensselaer, New York, US  \n",
       "36109.0          0       0       Tompkins, New York, US  \n",
       "36093.0          0       0    Schenectady, New York, US  \n",
       "36105.0          0       0       Sullivan, New York, US  \n",
       "36091.0          0       0       Saratoga, New York, US  \n",
       "36079.0          0       0         Putnam, New York, US  \n",
       "36111.0          0       0         Ulster, New York, US  \n",
       "36001.0          0       0         Albany, New York, US  \n",
       "36067.0          0       0       Onondaga, New York, US  \n",
       "36055.0          0       0         Monroe, New York, US  \n",
       "36027.0          0       0       Dutchess, New York, US  \n",
       "36029.0          0       0           Erie, New York, US  \n",
       "36071.0          0       0         Orange, New York, US  \n",
       "36087.0          0       0       Rockland, New York, US  \n",
       "36103.0          0       0        Suffolk, New York, US  \n",
       "36059.0          0       0         Nassau, New York, US  \n",
       "36119.0          0       0    Westchester, New York, US  \n",
       "36061.0          0       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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       "      <th>36123.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>36099.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Richmond</td>\n",
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       "      <td>Richmond, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36005.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Bronx</td>\n",
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       "      <td>Bronx, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36035.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Fulton</td>\n",
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       "    <tr>\n",
       "      <th>36097.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schuyler</td>\n",
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       "    <tr>\n",
       "      <th>36041.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Cayuga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
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       "      <td>42.912617</td>\n",
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       "      <th>36073.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Orleans</td>\n",
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       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.251698</td>\n",
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       "      <td>Orleans, New York, US</td>\n",
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       "      <td>44.116308</td>\n",
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       "      <td>Essex, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36095.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schoharie</td>\n",
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       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.588317</td>\n",
       "      <td>-74.443390</td>\n",
       "      <td>6</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Schoharie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36033.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>New York</td>\n",
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       "      <td>2020-03-30 22:52:45</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Franklin, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36009.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cattaraugus</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.247782</td>\n",
       "      <td>-78.679231</td>\n",
       "      <td>6</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>36057.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Montgomery</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</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>36107.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tioga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.168528</td>\n",
       "      <td>-76.308358</td>\n",
       "      <td>7</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>36003.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Allegany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.257484</td>\n",
       "      <td>-78.027505</td>\n",
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       "      <td>Allegany, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36013.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>-79.366918</td>\n",
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       "    <tr>\n",
       "      <th>36121.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Wyoming</td>\n",
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       "      <td>42.701451</td>\n",
       "      <td>-78.221996</td>\n",
       "      <td>8</td>\n",
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       "      <td>Wyoming, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36037.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Genesee</td>\n",
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       "    <tr>\n",
       "      <th>36115.0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>43.311538</td>\n",
       "      <td>-73.430434</td>\n",
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       "      <td>Washington, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36039.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Greene</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.275797</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Greene, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36023.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Cortland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.595092</td>\n",
       "      <td>-76.070489</td>\n",
       "      <td>10</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>36025.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.198376</td>\n",
       "      <td>-74.967093</td>\n",
       "      <td>11</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>36045.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.042010</td>\n",
       "      <td>-75.946535</td>\n",
       "      <td>11</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Jefferson, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36043.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Herkimer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.420342</td>\n",
       "      <td>-74.961453</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Herkimer, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36051.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Livingston</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
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       "      <td>Livingston, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36089.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>St. Lawrence</td>\n",
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       "      <td>0</td>\n",
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       "      <td>St. Lawrence, New York, US</td>\n",
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       "    <tr>\n",
       "      <th>36117.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Wayne</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.154944</td>\n",
       "      <td>-77.029765</td>\n",
       "      <td>15</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wayne, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36075.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Oswego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.427789</td>\n",
       "      <td>-76.146352</td>\n",
       "      <td>15</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>36015.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chemung</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.138911</td>\n",
       "      <td>-76.763880</td>\n",
       "      <td>15</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>36077.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Otsego</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.634926</td>\n",
       "      <td>-75.031514</td>\n",
       "      <td>17</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>36019.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Clinton</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>44.745309</td>\n",
       "      <td>-73.678754</td>\n",
       "      <td>17</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>36017.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Chenango</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.494300</td>\n",
       "      <td>-75.608876</td>\n",
       "      <td>17</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>36113.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Warren</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.561730</td>\n",
       "      <td>-73.843370</td>\n",
       "      <td>18</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>36101.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Steuben</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.268914</td>\n",
       "      <td>-77.382992</td>\n",
       "      <td>19</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>36069.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ontario</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.851457</td>\n",
       "      <td>-77.308744</td>\n",
       "      <td>20</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>36065.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Oneida</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.243754</td>\n",
       "      <td>-75.437104</td>\n",
       "      <td>34</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>36007.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Broome</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.159032</td>\n",
       "      <td>-75.813261</td>\n",
       "      <td>35</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>36021.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Columbia</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.248193</td>\n",
       "      <td>-73.630891</td>\n",
       "      <td>36</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>36063.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Niagara</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.198980</td>\n",
       "      <td>-78.747774</td>\n",
       "      <td>41</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>36053.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Madison</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.916539</td>\n",
       "      <td>-75.672666</td>\n",
       "      <td>42</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>36083.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Rensselaer</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.713481</td>\n",
       "      <td>-73.510899</td>\n",
       "      <td>52</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>36109.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Tompkins</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.449458</td>\n",
       "      <td>-76.472298</td>\n",
       "      <td>70</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>36093.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Schenectady</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.816688</td>\n",
       "      <td>-74.052783</td>\n",
       "      <td>80</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>36105.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Sullivan</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.715795</td>\n",
       "      <td>-74.763946</td>\n",
       "      <td>101</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>36091.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Saratoga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.109042</td>\n",
       "      <td>-73.866539</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Saratoga, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36079.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Putnam</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.426301</td>\n",
       "      <td>-73.749655</td>\n",
       "      <td>167</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>36111.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Ulster</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.890279</td>\n",
       "      <td>-74.262521</td>\n",
       "      <td>190</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>36001.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Albany</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.600603</td>\n",
       "      <td>-73.977239</td>\n",
       "      <td>217</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Albany, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36067.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Onondaga</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.004919</td>\n",
       "      <td>-76.199712</td>\n",
       "      <td>228</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>36055.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Monroe</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>43.146389</td>\n",
       "      <td>-77.693229</td>\n",
       "      <td>246</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Monroe, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36027.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Dutchess</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.764861</td>\n",
       "      <td>-73.743567</td>\n",
       "      <td>392</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>36029.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Erie</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>42.762490</td>\n",
       "      <td>-78.730637</td>\n",
       "      <td>443</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Erie, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36071.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Orange</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.403375</td>\n",
       "      <td>-74.302408</td>\n",
       "      <td>1435</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Orange, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36087.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Rockland</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.150279</td>\n",
       "      <td>-74.025605</td>\n",
       "      <td>2511</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>36103.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Suffolk</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.883201</td>\n",
       "      <td>-72.801217</td>\n",
       "      <td>5791</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Suffolk, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36059.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nassau</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.740665</td>\n",
       "      <td>-73.589419</td>\n",
       "      <td>7344</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nassau, New York, US</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36119.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Westchester</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>41.162784</td>\n",
       "      <td>-73.757417</td>\n",
       "      <td>9326</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>36061.0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>New York City</td>\n",
       "      <td>New York</td>\n",
       "      <td>US</td>\n",
       "      <td>2020-03-30 22:52:45</td>\n",
       "      <td>40.767273</td>\n",
       "      <td>-73.971526</td>\n",
       "      <td>37453</td>\n",
       "      <td>790</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": [
       "         Unnamed: 0         Admin2 Province_State Country_Region  \\\n",
       "FIPS                                                               \n",
       "36123.0         NaN          Yates       New York             US   \n",
       "36081.0         NaN         Queens       New York             US   \n",
       "36099.0         NaN         Seneca       New York             US   \n",
       "NaN             NaN     Unassigned       New York             US   \n",
       "36049.0         NaN          Lewis       New York             US   \n",
       "36047.0         NaN          Kings       New York             US   \n",
       "36085.0         NaN       Richmond       New York             US   \n",
       "36005.0         NaN          Bronx       New York             US   \n",
       "36035.0         NaN         Fulton       New York             US   \n",
       "36097.0         NaN       Schuyler       New York             US   \n",
       "36041.0         NaN       Hamilton       New York             US   \n",
       "36011.0         NaN         Cayuga       New York             US   \n",
       "36073.0         NaN        Orleans       New York             US   \n",
       "36031.0         NaN          Essex       New York             US   \n",
       "36095.0         NaN      Schoharie       New York             US   \n",
       "36033.0         NaN       Franklin       New York             US   \n",
       "36009.0         NaN    Cattaraugus       New York             US   \n",
       "36057.0         NaN     Montgomery       New York             US   \n",
       "36107.0         NaN          Tioga       New York             US   \n",
       "36003.0         NaN       Allegany       New York             US   \n",
       "36013.0         NaN     Chautauqua       New York             US   \n",
       "36121.0         NaN        Wyoming       New York             US   \n",
       "36037.0         NaN        Genesee       New York             US   \n",
       "36115.0         NaN     Washington       New York             US   \n",
       "36039.0         NaN         Greene       New York             US   \n",
       "36023.0         NaN       Cortland       New York             US   \n",
       "36025.0         NaN       Delaware       New York             US   \n",
       "36045.0         NaN      Jefferson       New York             US   \n",
       "36043.0         NaN       Herkimer       New York             US   \n",
       "36051.0         NaN     Livingston       New York             US   \n",
       "36089.0         NaN   St. Lawrence       New York             US   \n",
       "36117.0         NaN          Wayne       New York             US   \n",
       "36075.0         NaN         Oswego       New York             US   \n",
       "36015.0         NaN        Chemung       New York             US   \n",
       "36077.0         NaN         Otsego       New York             US   \n",
       "36019.0         NaN        Clinton       New York             US   \n",
       "36017.0         NaN       Chenango       New York             US   \n",
       "36113.0         NaN         Warren       New York             US   \n",
       "36101.0         NaN        Steuben       New York             US   \n",
       "36069.0         NaN        Ontario       New York             US   \n",
       "36065.0         NaN         Oneida       New York             US   \n",
       "36007.0         NaN         Broome       New York             US   \n",
       "36021.0         NaN       Columbia       New York             US   \n",
       "36063.0         NaN        Niagara       New York             US   \n",
       "36053.0         NaN        Madison       New York             US   \n",
       "36083.0         NaN     Rensselaer       New York             US   \n",
       "36109.0         NaN       Tompkins       New York             US   \n",
       "36093.0         NaN    Schenectady       New York             US   \n",
       "36105.0         NaN       Sullivan       New York             US   \n",
       "36091.0         NaN       Saratoga       New York             US   \n",
       "36079.0         NaN         Putnam       New York             US   \n",
       "36111.0         NaN         Ulster       New York             US   \n",
       "36001.0         NaN         Albany       New York             US   \n",
       "36067.0         NaN       Onondaga       New York             US   \n",
       "36055.0         NaN         Monroe       New York             US   \n",
       "36027.0         NaN       Dutchess       New York             US   \n",
       "36029.0         NaN           Erie       New York             US   \n",
       "36071.0         NaN         Orange       New York             US   \n",
       "36087.0         NaN       Rockland       New York             US   \n",
       "36103.0         NaN        Suffolk       New York             US   \n",
       "36059.0         NaN         Nassau       New York             US   \n",
       "36119.0         NaN    Westchester       New York             US   \n",
       "36061.0         NaN  New York City       New York             US   \n",
       "\n",
       "                 Last_Update        Lat      Long_  Confirmed  Deaths  \\\n",
       "FIPS                                                                    \n",
       "36123.0  2020-03-30 22:52:45  42.635055 -77.103699          0       0   \n",
       "36081.0  2020-03-30 22:52:45  40.710881 -73.816847          0       0   \n",
       "36099.0  2020-03-30 22:52:45  42.780810 -76.824971          0       0   \n",
       "NaN      2020-03-30 22:52:45   0.000000   0.000000          0     298   \n",
       "36049.0  2020-03-30 22:52:45  43.784416 -75.449040          0       0   \n",
       "36047.0  2020-03-30 22:52:45  40.636182 -73.949356          0       0   \n",
       "36085.0  2020-03-30 22:52:45  40.585822 -74.148086          0       0   \n",
       "36005.0  2020-03-30 22:52:45  40.852093 -73.862828          0       0   \n",
       "36035.0  2020-03-30 22:52:45  43.113639 -74.417988          1       0   \n",
       "36097.0  2020-03-30 22:52:45  42.391840 -76.877330          2       0   \n",
       "36041.0  2020-03-30 22:52:45  43.661466 -74.497220          2       0   \n",
       "36011.0  2020-03-30 22:52:45  42.912617 -76.557316          3       0   \n",
       "36073.0  2020-03-30 22:52:45  43.251698 -78.232007          4       0   \n",
       "36031.0  2020-03-30 22:52:45  44.116308 -73.772978          5       0   \n",
       "36095.0  2020-03-30 22:52:45  42.588317 -74.443390          6       0   \n",
       "36033.0  2020-03-30 22:52:45  44.590409 -74.299260          6       0   \n",
       "36009.0  2020-03-30 22:52:45  42.247782 -78.679231          6       0   \n",
       "36057.0  2020-03-30 22:52:45  42.901235 -74.440116          6       0   \n",
       "36107.0  2020-03-30 22:52:45  42.168528 -76.308358          7       0   \n",
       "36003.0  2020-03-30 22:52:45  42.257484 -78.027505          7       0   \n",
       "36013.0  2020-03-30 22:52:45  42.227692 -79.366918          7       0   \n",
       "36121.0  2020-03-30 22:52:45  42.701451 -78.221996          8       1   \n",
       "36037.0  2020-03-30 22:52:45  43.002260 -78.191352          9       0   \n",
       "36115.0  2020-03-30 22:52:45  43.311538 -73.430434          9       0   \n",
       "36039.0  2020-03-30 22:52:45  42.275797 -74.123849         10       0   \n",
       "36023.0  2020-03-30 22:52:45  42.595092 -76.070489         10       0   \n",
       "36025.0  2020-03-30 22:52:45  42.198376 -74.967093         11       0   \n",
       "36045.0  2020-03-30 22:52:45  44.042010 -75.946535         11       0   \n",
       "36043.0  2020-03-30 22:52:45  43.420342 -74.961453         12       2   \n",
       "36051.0  2020-03-30 22:52:45  42.725963 -77.779662         13       0   \n",
       "36089.0  2020-03-30 22:52:45  44.497618 -75.065500         13       0   \n",
       "36117.0  2020-03-30 22:52:45  43.154944 -77.029765         15       0   \n",
       "36075.0  2020-03-30 22:52:45  43.427789 -76.146352         15       0   \n",
       "36015.0  2020-03-30 22:52:45  42.138911 -76.763880         15       0   \n",
       "36077.0  2020-03-30 22:52:45  42.634926 -75.031514         17       1   \n",
       "36019.0  2020-03-30 22:52:45  44.745309 -73.678754         17       0   \n",
       "36017.0  2020-03-30 22:52:45  42.494300 -75.608876         17       0   \n",
       "36113.0  2020-03-30 22:52:45  43.561730 -73.843370         18       0   \n",
       "36101.0  2020-03-30 22:52:45  42.268914 -77.382992         19       0   \n",
       "36069.0  2020-03-30 22:52:45  42.851457 -77.308744         20       0   \n",
       "36065.0  2020-03-30 22:52:45  43.243754 -75.437104         34       0   \n",
       "36007.0  2020-03-30 22:52:45  42.159032 -75.813261         35       3   \n",
       "36021.0  2020-03-30 22:52:45  42.248193 -73.630891         36       1   \n",
       "36063.0  2020-03-30 22:52:45  43.198980 -78.747774         41       0   \n",
       "36053.0  2020-03-30 22:52:45  42.916539 -75.672666         42       1   \n",
       "36083.0  2020-03-30 22:52:45  42.713481 -73.510899         52       0   \n",
       "36109.0  2020-03-30 22:52:45  42.449458 -76.472298         70       0   \n",
       "36093.0  2020-03-30 22:52:45  42.816688 -74.052783         80       1   \n",
       "36105.0  2020-03-30 22:52:45  41.715795 -74.763946        101       0   \n",
       "36091.0  2020-03-30 22:52:45  43.109042 -73.866539        108       1   \n",
       "36079.0  2020-03-30 22:52:45  41.426301 -73.749655        167       0   \n",
       "36111.0  2020-03-30 22:52:45  41.890279 -74.262521        190       0   \n",
       "36001.0  2020-03-30 22:52:45  42.600603 -73.977239        217       1   \n",
       "36067.0  2020-03-30 22:52:45  43.004919 -76.199712        228       1   \n",
       "36055.0  2020-03-30 22:52:45  43.146389 -77.693229        246       6   \n",
       "36027.0  2020-03-30 22:52:45  41.764861 -73.743567        392       2   \n",
       "36029.0  2020-03-30 22:52:45  42.762490 -78.730637        443       7   \n",
       "36071.0  2020-03-30 22:52:45  41.403375 -74.302408       1435       5   \n",
       "36087.0  2020-03-30 22:52:45  41.150279 -74.025605       2511       8   \n",
       "36103.0  2020-03-30 22:52:45  40.883201 -72.801217       5791      40   \n",
       "36059.0  2020-03-30 22:52:45  40.740665 -73.589419       7344      39   \n",
       "36119.0  2020-03-30 22:52:45  41.162784 -73.757417       9326      10   \n",
       "36061.0  2020-03-30 22:52:45  40.767273 -73.971526      37453     790   \n",
       "\n",
       "         Recovered  Active                 Combined_Key  \n",
       "FIPS                                                     \n",
       "36123.0          0       0          Yates, New York, US  \n",
       "36081.0          0       0         Queens, New York, US  \n",
       "36099.0          0       0         Seneca, New York, US  \n",
       "NaN              0       0     Unassigned, New York, US  \n",
       "36049.0          0       0          Lewis, New York, US  \n",
       "36047.0          0       0          Kings, New York, US  \n",
       "36085.0          0       0       Richmond, New York, US  \n",
       "36005.0          0       0          Bronx, New York, US  \n",
       "36035.0          0       0         Fulton, New York, US  \n",
       "36097.0          0       0       Schuyler, New York, US  \n",
       "36041.0          0       0       Hamilton, New York, US  \n",
       "36011.0          0       0         Cayuga, New York, US  \n",
       "36073.0          0       0        Orleans, New York, US  \n",
       "36031.0          0       0          Essex, New York, US  \n",
       "36095.0          0       0      Schoharie, New York, US  \n",
       "36033.0          0       0       Franklin, New York, US  \n",
       "36009.0          0       0    Cattaraugus, New York, US  \n",
       "36057.0          0       0     Montgomery, New York, US  \n",
       "36107.0          0       0          Tioga, New York, US  \n",
       "36003.0          0       0       Allegany, New York, US  \n",
       "36013.0          0       0     Chautauqua, New York, US  \n",
       "36121.0          0       0        Wyoming, New York, US  \n",
       "36037.0          0       0        Genesee, New York, US  \n",
       "36115.0          0       0     Washington, New York, US  \n",
       "36039.0          0       0         Greene, New York, US  \n",
       "36023.0          0       0       Cortland, New York, US  \n",
       "36025.0          0       0       Delaware, New York, US  \n",
       "36045.0          0       0      Jefferson, New York, US  \n",
       "36043.0          0       0       Herkimer, New York, US  \n",
       "36051.0          0       0     Livingston, New York, US  \n",
       "36089.0          0       0   St. Lawrence, New York, US  \n",
       "36117.0          0       0          Wayne, New York, US  \n",
       "36075.0          0       0         Oswego, New York, US  \n",
       "36015.0          0       0        Chemung, New York, US  \n",
       "36077.0          0       0         Otsego, New York, US  \n",
       "36019.0          0       0        Clinton, New York, US  \n",
       "36017.0          0       0       Chenango, New York, US  \n",
       "36113.0          0       0         Warren, New York, US  \n",
       "36101.0          0       0        Steuben, New York, US  \n",
       "36069.0          0       0        Ontario, New York, US  \n",
       "36065.0          0       0         Oneida, New York, US  \n",
       "36007.0          0       0         Broome, New York, US  \n",
       "36021.0          0       0       Columbia, New York, US  \n",
       "36063.0          0       0        Niagara, New York, US  \n",
       "36053.0          0       0        Madison, New York, US  \n",
       "36083.0          0       0     Rensselaer, New York, US  \n",
       "36109.0          0       0       Tompkins, New York, US  \n",
       "36093.0          0       0    Schenectady, New York, US  \n",
       "36105.0          0       0       Sullivan, New York, US  \n",
       "36091.0          0       0       Saratoga, New York, US  \n",
       "36079.0          0       0         Putnam, New York, US  \n",
       "36111.0          0       0         Ulster, New York, US  \n",
       "36001.0          0       0         Albany, New York, US  \n",
       "36067.0          0       0       Onondaga, New York, US  \n",
       "36055.0          0       0         Monroe, New York, US  \n",
       "36027.0          0       0       Dutchess, New York, US  \n",
       "36029.0          0       0           Erie, New York, US  \n",
       "36071.0          0       0         Orange, New York, US  \n",
       "36087.0          0       0       Rockland, New York, US  \n",
       "36103.0          0       0        Suffolk, New York, US  \n",
       "36059.0          0       0         Nassau, New York, US  \n",
       "36119.0          0       0    Westchester, New York, US  \n",
       "36061.0          0       0  New York City, New York, US  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Province_State=='New York'].sort_values(by='Confirmed')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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": 15,
     "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": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>State</th>\n",
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       "      <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>coast_sq_km</th>\n",
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       "      <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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       "      <td>3,796,742</td>\n",
       "      <td>9,833,517</td>\n",
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       "      <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": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geog = pd.read_csv('data/us_geography.csv')\n",
    "geog.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>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": 17,
     "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": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_columns=['Confirmed', 'Deaths', 'Recovered', 'Active', ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": 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",
       "    }\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>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>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.041026</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>4.687500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.086582</td>\n",
       "      <td>0.003980</td>\n",
       "      <td>4.596273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.064650</td>\n",
       "      <td>0.002692</td>\n",
       "      <td>4.164128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.012156</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>3.326403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.026447</td>\n",
       "      <td>0.000819</td>\n",
       "      <td>3.098291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>2.923977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.065066</td>\n",
       "      <td>0.001842</td>\n",
       "      <td>2.831641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.014368</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>2.640264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.015583</td>\n",
       "      <td>0.000410</td>\n",
       "      <td>2.631579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.010721</td>\n",
       "      <td>0.000246</td>\n",
       "      <td>2.296451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.056819</td>\n",
       "      <td>0.001275</td>\n",
       "      <td>2.244389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.012769</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>2.150538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.016537</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>2.069322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.018065</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>2.045391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.040130</td>\n",
       "      <td>0.000816</td>\n",
       "      <td>2.033752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.026529</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>1.959686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.017966</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>1.945946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.028460</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.889020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.014303</td>\n",
       "      <td>0.000262</td>\n",
       "      <td>1.834862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.342678</td>\n",
       "      <td>0.006261</td>\n",
       "      <td>1.827100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.019026</td>\n",
       "      <td>0.000336</td>\n",
       "      <td>1.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.010213</td>\n",
       "      <td>0.000177</td>\n",
       "      <td>1.736111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.015896</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>1.728608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.021125</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>1.626016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.032855</td>\n",
       "      <td>0.000487</td>\n",
       "      <td>1.482213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.015674</td>\n",
       "      <td>0.000232</td>\n",
       "      <td>1.479915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.011950</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.039900</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>1.443829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.010853</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>1.429933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.013439</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>1.415094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.072112</td>\n",
       "      <td>0.001010</td>\n",
       "      <td>1.400233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.007496</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.017124</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>1.236917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.032456</td>\n",
       "      <td>0.000391</td>\n",
       "      <td>1.203369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.187296</td>\n",
       "      <td>0.002229</td>\n",
       "      <td>1.190190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.025482</td>\n",
       "      <td>0.000293</td>\n",
       "      <td>1.151105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.018335</td>\n",
       "      <td>0.000204</td>\n",
       "      <td>1.112347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.020458</td>\n",
       "      <td>0.000223</td>\n",
       "      <td>1.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.023372</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>1.061571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.011417</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>0.990099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>408</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.038514</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.980392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.083453</td>\n",
       "      <td>0.000812</td>\n",
       "      <td>0.973574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.023093</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>0.955414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.011303</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.843882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.028071</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.730308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.008091</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.689655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1313</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.012519</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>0.533130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.025078</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.497512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.012360</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.016242</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        256      12          0       0               Vermont   \n",
       "18       4025     185          0       0             Louisiana   \n",
       "47       4923     205          0       0            Washington   \n",
       "36        481      16          0       0              Oklahoma   \n",
       "10       2808      87          0       0               Georgia   \n",
       "26        171       5          0       0               Montana   \n",
       "22       6498     184          0       0              Michigan   \n",
       "37        606      16          0       0                Oregon   \n",
       "1         114       3          0       0                Alaska   \n",
       "17        479      11          0       0              Kentucky   \n",
       "7         264       6          0       0              Delaware   \n",
       "8         401       9          0       0  District of Columbia   \n",
       "16        372       8          0       0                Kansas   \n",
       "35       1933      40          0       0                  Ohio   \n",
       "4        7138     146          0       0            California   \n",
       "5        2311      47          0       0              Colorado   \n",
       "14       1786      35          0       0               Indiana   \n",
       "40        925      18          0       0        South Carolina   \n",
       "24        847      16          0       0           Mississippi   \n",
       "34        109       2          0       0          North Dakota   \n",
       "32      66663    1218          0       0              New York   \n",
       "12        340       6          0       0                 Idaho   \n",
       "23        576      10          0       0             Minnesota   \n",
       "2        1157      20          0       0               Arizona   \n",
       "49       1230      20          0       0             Wisconsin   \n",
       "28       1012      15          0       0                Nevada   \n",
       "3         473       7          0       0              Arkansas   \n",
       "46       1020      15          0       0              Virginia   \n",
       "13       5056      73          0       0              Illinois   \n",
       "43       3147      45          0       0                 Texas   \n",
       "15        424       6          0       0                  Iowa   \n",
       "6        2571      36          0       0           Connecticut   \n",
       "27        145       2          0       0              Nebraska   \n",
       "25       1051      13          0       0              Missouri   \n",
       "38       4155      50          0       0          Pennsylvania   \n",
       "30      16636     198          0       0            New Jersey   \n",
       "9        5473      63          0       0               Florida   \n",
       "0         899      10          0       0               Alabama   \n",
       "19        275       3          0       0                 Maine   \n",
       "20       1413      15          0       0              Maryland   \n",
       "41        101       1          0       0          South Dakota   \n",
       "39        408       4          0       0          Rhode Island   \n",
       "21       5752      56          0       0         Massachusetts   \n",
       "29        314       3          0       0         New Hampshire   \n",
       "31        237       2          0       0            New Mexico   \n",
       "42       1917      14          0       0             Tennessee   \n",
       "48        145       1          0       0         West Virginia   \n",
       "33       1313       7          0       0        North Carolina   \n",
       "44        804       4          0       0                  Utah   \n",
       "11        175       0          0       0                Hawaii   \n",
       "50         94       0          0       0               Wyoming   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "45           623989            0.041026  0.001923     4.687500  \n",
       "18          4648794            0.086582  0.003980     4.596273  \n",
       "47          7614893            0.064650  0.002692     4.164128  \n",
       "36          3956971            0.012156  0.000404     3.326403  \n",
       "10         10617423            0.026447  0.000819     3.098291  \n",
       "26          1068778            0.016000  0.000468     2.923977  \n",
       "22          9986857            0.065066  0.001842     2.831641  \n",
       "37          4217737            0.014368  0.000379     2.640264  \n",
       "1            731545            0.015583  0.000410     2.631579  \n",
       "17          4467673            0.010721  0.000246     2.296451  \n",
       "7            973764            0.027111  0.000616     2.272727  \n",
       "8            705749            0.056819  0.001275     2.244389  \n",
       "16          2913314            0.012769  0.000275     2.150538  \n",
       "35         11689100            0.016537  0.000342     2.069322  \n",
       "4          39512223            0.018065  0.000370     2.045391  \n",
       "5           5758736            0.040130  0.000816     2.033752  \n",
       "14          6732219            0.026529  0.000520     1.959686  \n",
       "40          5148714            0.017966  0.000350     1.945946  \n",
       "24          2976149            0.028460  0.000538     1.889020  \n",
       "34           762062            0.014303  0.000262     1.834862  \n",
       "32         19453561            0.342678  0.006261     1.827100  \n",
       "12          1787065            0.019026  0.000336     1.764706  \n",
       "23          5639632            0.010213  0.000177     1.736111  \n",
       "2           7278717            0.015896  0.000275     1.728608  \n",
       "49          5822434            0.021125  0.000343     1.626016  \n",
       "28          3080156            0.032855  0.000487     1.482213  \n",
       "3           3017804            0.015674  0.000232     1.479915  \n",
       "46          8535519            0.011950  0.000176     1.470588  \n",
       "13         12671821            0.039900  0.000576     1.443829  \n",
       "43         28995881            0.010853  0.000155     1.429933  \n",
       "15          3155070            0.013439  0.000190     1.415094  \n",
       "6           3565287            0.072112  0.001010     1.400233  \n",
       "27          1934408            0.007496  0.000103     1.379310  \n",
       "25          6137428            0.017124  0.000212     1.236917  \n",
       "38         12801989            0.032456  0.000391     1.203369  \n",
       "30          8882190            0.187296  0.002229     1.190190  \n",
       "9          21477737            0.025482  0.000293     1.151105  \n",
       "0           4903185            0.018335  0.000204     1.112347  \n",
       "19          1344212            0.020458  0.000223     1.090909  \n",
       "20          6045680            0.023372  0.000248     1.061571  \n",
       "41           884659            0.011417  0.000113     0.990099  \n",
       "39          1059361            0.038514  0.000378     0.980392  \n",
       "21          6892503            0.083453  0.000812     0.973574  \n",
       "29          1359711            0.023093  0.000221     0.955414  \n",
       "31          2096829            0.011303  0.000095     0.843882  \n",
       "42          6829174            0.028071  0.000205     0.730308  \n",
       "48          1792147            0.008091  0.000056     0.689655  \n",
       "33         10488084            0.012519  0.000067     0.533130  \n",
       "44          3205958            0.025078  0.000125     0.497512  \n",
       "11          1415872            0.012360  0.000000     0.000000  \n",
       "50           578759            0.016242  0.000000     0.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='death_rate?', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.342678</td>\n",
       "      <td>0.006261</td>\n",
       "      <td>1.827100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.187296</td>\n",
       "      <td>0.002229</td>\n",
       "      <td>1.190190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.086582</td>\n",
       "      <td>0.003980</td>\n",
       "      <td>4.596273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.083453</td>\n",
       "      <td>0.000812</td>\n",
       "      <td>0.973574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.072112</td>\n",
       "      <td>0.001010</td>\n",
       "      <td>1.400233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.065066</td>\n",
       "      <td>0.001842</td>\n",
       "      <td>2.831641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.064650</td>\n",
       "      <td>0.002692</td>\n",
       "      <td>4.164128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.056819</td>\n",
       "      <td>0.001275</td>\n",
       "      <td>2.244389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.041026</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>4.687500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.040130</td>\n",
       "      <td>0.000816</td>\n",
       "      <td>2.033752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.039900</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>1.443829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>408</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.038514</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.980392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.032855</td>\n",
       "      <td>0.000487</td>\n",
       "      <td>1.482213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.032456</td>\n",
       "      <td>0.000391</td>\n",
       "      <td>1.203369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.028460</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.889020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.028071</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.730308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.026529</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>1.959686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.026447</td>\n",
       "      <td>0.000819</td>\n",
       "      <td>3.098291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.025482</td>\n",
       "      <td>0.000293</td>\n",
       "      <td>1.151105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.025078</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.497512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.023372</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>1.061571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.023093</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>0.955414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.021125</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>1.626016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.020458</td>\n",
       "      <td>0.000223</td>\n",
       "      <td>1.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.019026</td>\n",
       "      <td>0.000336</td>\n",
       "      <td>1.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.018335</td>\n",
       "      <td>0.000204</td>\n",
       "      <td>1.112347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.018065</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>2.045391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.017966</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>1.945946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.017124</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>1.236917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.016537</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>2.069322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.016242</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>2.923977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.015896</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>1.728608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.015674</td>\n",
       "      <td>0.000232</td>\n",
       "      <td>1.479915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.015583</td>\n",
       "      <td>0.000410</td>\n",
       "      <td>2.631579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.014368</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>2.640264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.014303</td>\n",
       "      <td>0.000262</td>\n",
       "      <td>1.834862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.013439</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>1.415094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.012769</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>2.150538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1313</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.012519</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>0.533130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.012360</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.012156</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>3.326403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.011950</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.011417</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>0.990099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.011303</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.843882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.010853</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>1.429933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.010721</td>\n",
       "      <td>0.000246</td>\n",
       "      <td>2.296451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.010213</td>\n",
       "      <td>0.000177</td>\n",
       "      <td>1.736111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.008091</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.689655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.007496</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.379310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Confirmed  Deaths  Recovered  Active                  NAME  \\\n",
       "32      66663    1218          0       0              New York   \n",
       "30      16636     198          0       0            New Jersey   \n",
       "18       4025     185          0       0             Louisiana   \n",
       "21       5752      56          0       0         Massachusetts   \n",
       "6        2571      36          0       0           Connecticut   \n",
       "22       6498     184          0       0              Michigan   \n",
       "47       4923     205          0       0            Washington   \n",
       "8         401       9          0       0  District of Columbia   \n",
       "45        256      12          0       0               Vermont   \n",
       "5        2311      47          0       0              Colorado   \n",
       "13       5056      73          0       0              Illinois   \n",
       "39        408       4          0       0          Rhode Island   \n",
       "28       1012      15          0       0                Nevada   \n",
       "38       4155      50          0       0          Pennsylvania   \n",
       "24        847      16          0       0           Mississippi   \n",
       "42       1917      14          0       0             Tennessee   \n",
       "7         264       6          0       0              Delaware   \n",
       "14       1786      35          0       0               Indiana   \n",
       "10       2808      87          0       0               Georgia   \n",
       "9        5473      63          0       0               Florida   \n",
       "44        804       4          0       0                  Utah   \n",
       "20       1413      15          0       0              Maryland   \n",
       "29        314       3          0       0         New Hampshire   \n",
       "49       1230      20          0       0             Wisconsin   \n",
       "19        275       3          0       0                 Maine   \n",
       "12        340       6          0       0                 Idaho   \n",
       "0         899      10          0       0               Alabama   \n",
       "4        7138     146          0       0            California   \n",
       "40        925      18          0       0        South Carolina   \n",
       "25       1051      13          0       0              Missouri   \n",
       "35       1933      40          0       0                  Ohio   \n",
       "50         94       0          0       0               Wyoming   \n",
       "26        171       5          0       0               Montana   \n",
       "2        1157      20          0       0               Arizona   \n",
       "3         473       7          0       0              Arkansas   \n",
       "1         114       3          0       0                Alaska   \n",
       "37        606      16          0       0                Oregon   \n",
       "34        109       2          0       0          North Dakota   \n",
       "15        424       6          0       0                  Iowa   \n",
       "16        372       8          0       0                Kansas   \n",
       "33       1313       7          0       0        North Carolina   \n",
       "11        175       0          0       0                Hawaii   \n",
       "36        481      16          0       0              Oklahoma   \n",
       "46       1020      15          0       0              Virginia   \n",
       "41        101       1          0       0          South Dakota   \n",
       "31        237       2          0       0            New Mexico   \n",
       "43       3147      45          0       0                 Texas   \n",
       "17        479      11          0       0              Kentucky   \n",
       "23        576      10          0       0             Minnesota   \n",
       "48        145       1          0       0         West Virginia   \n",
       "27        145       2          0       0              Nebraska   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "32         19453561            0.342678  0.006261     1.827100  \n",
       "30          8882190            0.187296  0.002229     1.190190  \n",
       "18          4648794            0.086582  0.003980     4.596273  \n",
       "21          6892503            0.083453  0.000812     0.973574  \n",
       "6           3565287            0.072112  0.001010     1.400233  \n",
       "22          9986857            0.065066  0.001842     2.831641  \n",
       "47          7614893            0.064650  0.002692     4.164128  \n",
       "8            705749            0.056819  0.001275     2.244389  \n",
       "45           623989            0.041026  0.001923     4.687500  \n",
       "5           5758736            0.040130  0.000816     2.033752  \n",
       "13         12671821            0.039900  0.000576     1.443829  \n",
       "39          1059361            0.038514  0.000378     0.980392  \n",
       "28          3080156            0.032855  0.000487     1.482213  \n",
       "38         12801989            0.032456  0.000391     1.203369  \n",
       "24          2976149            0.028460  0.000538     1.889020  \n",
       "42          6829174            0.028071  0.000205     0.730308  \n",
       "7            973764            0.027111  0.000616     2.272727  \n",
       "14          6732219            0.026529  0.000520     1.959686  \n",
       "10         10617423            0.026447  0.000819     3.098291  \n",
       "9          21477737            0.025482  0.000293     1.151105  \n",
       "44          3205958            0.025078  0.000125     0.497512  \n",
       "20          6045680            0.023372  0.000248     1.061571  \n",
       "29          1359711            0.023093  0.000221     0.955414  \n",
       "49          5822434            0.021125  0.000343     1.626016  \n",
       "19          1344212            0.020458  0.000223     1.090909  \n",
       "12          1787065            0.019026  0.000336     1.764706  \n",
       "0           4903185            0.018335  0.000204     1.112347  \n",
       "4          39512223            0.018065  0.000370     2.045391  \n",
       "40          5148714            0.017966  0.000350     1.945946  \n",
       "25          6137428            0.017124  0.000212     1.236917  \n",
       "35         11689100            0.016537  0.000342     2.069322  \n",
       "50           578759            0.016242  0.000000     0.000000  \n",
       "26          1068778            0.016000  0.000468     2.923977  \n",
       "2           7278717            0.015896  0.000275     1.728608  \n",
       "3           3017804            0.015674  0.000232     1.479915  \n",
       "1            731545            0.015583  0.000410     2.631579  \n",
       "37          4217737            0.014368  0.000379     2.640264  \n",
       "34           762062            0.014303  0.000262     1.834862  \n",
       "15          3155070            0.013439  0.000190     1.415094  \n",
       "16          2913314            0.012769  0.000275     2.150538  \n",
       "33         10488084            0.012519  0.000067     0.533130  \n",
       "11          1415872            0.012360  0.000000     0.000000  \n",
       "36          3956971            0.012156  0.000404     3.326403  \n",
       "46          8535519            0.011950  0.000176     1.470588  \n",
       "41           884659            0.011417  0.000113     0.990099  \n",
       "31          2096829            0.011303  0.000095     0.843882  \n",
       "43         28995881            0.010853  0.000155     1.429933  \n",
       "17          4467673            0.010721  0.000246     2.296451  \n",
       "23          5639632            0.010213  0.000177     1.736111  \n",
       "48          1792147            0.008091  0.000056     0.689655  \n",
       "27          1934408            0.007496  0.000103     1.379310  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='fraction_confirmed', ascending=False)"
   ]
  },
  {
   "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>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>66663</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New York</td>\n",
       "      <td>19453561</td>\n",
       "      <td>0.342678</td>\n",
       "      <td>0.006261</td>\n",
       "      <td>1.827100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4025</td>\n",
       "      <td>185</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>4648794</td>\n",
       "      <td>0.086582</td>\n",
       "      <td>0.003980</td>\n",
       "      <td>4.596273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4923</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Washington</td>\n",
       "      <td>7614893</td>\n",
       "      <td>0.064650</td>\n",
       "      <td>0.002692</td>\n",
       "      <td>4.164128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>16636</td>\n",
       "      <td>198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>8882190</td>\n",
       "      <td>0.187296</td>\n",
       "      <td>0.002229</td>\n",
       "      <td>1.190190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>256</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>623989</td>\n",
       "      <td>0.041026</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>4.687500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6498</td>\n",
       "      <td>184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>9986857</td>\n",
       "      <td>0.065066</td>\n",
       "      <td>0.001842</td>\n",
       "      <td>2.831641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>401</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>705749</td>\n",
       "      <td>0.056819</td>\n",
       "      <td>0.001275</td>\n",
       "      <td>2.244389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2571</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>3565287</td>\n",
       "      <td>0.072112</td>\n",
       "      <td>0.001010</td>\n",
       "      <td>1.400233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2808</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>10617423</td>\n",
       "      <td>0.026447</td>\n",
       "      <td>0.000819</td>\n",
       "      <td>3.098291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2311</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>5758736</td>\n",
       "      <td>0.040130</td>\n",
       "      <td>0.000816</td>\n",
       "      <td>2.033752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5752</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>6892503</td>\n",
       "      <td>0.083453</td>\n",
       "      <td>0.000812</td>\n",
       "      <td>0.973574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>264</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>973764</td>\n",
       "      <td>0.027111</td>\n",
       "      <td>0.000616</td>\n",
       "      <td>2.272727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5056</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>12671821</td>\n",
       "      <td>0.039900</td>\n",
       "      <td>0.000576</td>\n",
       "      <td>1.443829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>847</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>2976149</td>\n",
       "      <td>0.028460</td>\n",
       "      <td>0.000538</td>\n",
       "      <td>1.889020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1786</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>6732219</td>\n",
       "      <td>0.026529</td>\n",
       "      <td>0.000520</td>\n",
       "      <td>1.959686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1012</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>3080156</td>\n",
       "      <td>0.032855</td>\n",
       "      <td>0.000487</td>\n",
       "      <td>1.482213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>171</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Montana</td>\n",
       "      <td>1068778</td>\n",
       "      <td>0.016000</td>\n",
       "      <td>0.000468</td>\n",
       "      <td>2.923977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>114</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>731545</td>\n",
       "      <td>0.015583</td>\n",
       "      <td>0.000410</td>\n",
       "      <td>2.631579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>481</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>3956971</td>\n",
       "      <td>0.012156</td>\n",
       "      <td>0.000404</td>\n",
       "      <td>3.326403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4155</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>12801989</td>\n",
       "      <td>0.032456</td>\n",
       "      <td>0.000391</td>\n",
       "      <td>1.203369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>606</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>4217737</td>\n",
       "      <td>0.014368</td>\n",
       "      <td>0.000379</td>\n",
       "      <td>2.640264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>408</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>1059361</td>\n",
       "      <td>0.038514</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.980392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7138</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>California</td>\n",
       "      <td>39512223</td>\n",
       "      <td>0.018065</td>\n",
       "      <td>0.000370</td>\n",
       "      <td>2.045391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>925</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>5148714</td>\n",
       "      <td>0.017966</td>\n",
       "      <td>0.000350</td>\n",
       "      <td>1.945946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>1230</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>5822434</td>\n",
       "      <td>0.021125</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>1.626016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1933</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>11689100</td>\n",
       "      <td>0.016537</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>2.069322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>340</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>1787065</td>\n",
       "      <td>0.019026</td>\n",
       "      <td>0.000336</td>\n",
       "      <td>1.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5473</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Florida</td>\n",
       "      <td>21477737</td>\n",
       "      <td>0.025482</td>\n",
       "      <td>0.000293</td>\n",
       "      <td>1.151105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1157</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>7278717</td>\n",
       "      <td>0.015896</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>1.728608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>372</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>2913314</td>\n",
       "      <td>0.012769</td>\n",
       "      <td>0.000275</td>\n",
       "      <td>2.150538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>109</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>762062</td>\n",
       "      <td>0.014303</td>\n",
       "      <td>0.000262</td>\n",
       "      <td>1.834862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1413</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>6045680</td>\n",
       "      <td>0.023372</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>1.061571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>479</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>4467673</td>\n",
       "      <td>0.010721</td>\n",
       "      <td>0.000246</td>\n",
       "      <td>2.296451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>473</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>3017804</td>\n",
       "      <td>0.015674</td>\n",
       "      <td>0.000232</td>\n",
       "      <td>1.479915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>275</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Maine</td>\n",
       "      <td>1344212</td>\n",
       "      <td>0.020458</td>\n",
       "      <td>0.000223</td>\n",
       "      <td>1.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>314</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>1359711</td>\n",
       "      <td>0.023093</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>0.955414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1051</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>6137428</td>\n",
       "      <td>0.017124</td>\n",
       "      <td>0.000212</td>\n",
       "      <td>1.236917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>1917</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>6829174</td>\n",
       "      <td>0.028071</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.730308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>899</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>4903185</td>\n",
       "      <td>0.018335</td>\n",
       "      <td>0.000204</td>\n",
       "      <td>1.112347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>424</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>3155070</td>\n",
       "      <td>0.013439</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>1.415094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>576</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>5639632</td>\n",
       "      <td>0.010213</td>\n",
       "      <td>0.000177</td>\n",
       "      <td>1.736111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>1020</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>8535519</td>\n",
       "      <td>0.011950</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>1.470588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>3147</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>28995881</td>\n",
       "      <td>0.010853</td>\n",
       "      <td>0.000155</td>\n",
       "      <td>1.429933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>804</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Utah</td>\n",
       "      <td>3205958</td>\n",
       "      <td>0.025078</td>\n",
       "      <td>0.000125</td>\n",
       "      <td>0.497512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>101</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>884659</td>\n",
       "      <td>0.011417</td>\n",
       "      <td>0.000113</td>\n",
       "      <td>0.990099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>145</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>1934408</td>\n",
       "      <td>0.007496</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>1.379310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>237</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>2096829</td>\n",
       "      <td>0.011303</td>\n",
       "      <td>0.000095</td>\n",
       "      <td>0.843882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1313</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>10488084</td>\n",
       "      <td>0.012519</td>\n",
       "      <td>0.000067</td>\n",
       "      <td>0.533130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>145</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>1792147</td>\n",
       "      <td>0.008091</td>\n",
       "      <td>0.000056</td>\n",
       "      <td>0.689655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>1415872</td>\n",
       "      <td>0.012360</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>578759</td>\n",
       "      <td>0.016242</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      66663    1218          0       0              New York   \n",
       "18       4025     185          0       0             Louisiana   \n",
       "47       4923     205          0       0            Washington   \n",
       "30      16636     198          0       0            New Jersey   \n",
       "45        256      12          0       0               Vermont   \n",
       "22       6498     184          0       0              Michigan   \n",
       "8         401       9          0       0  District of Columbia   \n",
       "6        2571      36          0       0           Connecticut   \n",
       "10       2808      87          0       0               Georgia   \n",
       "5        2311      47          0       0              Colorado   \n",
       "21       5752      56          0       0         Massachusetts   \n",
       "7         264       6          0       0              Delaware   \n",
       "13       5056      73          0       0              Illinois   \n",
       "24        847      16          0       0           Mississippi   \n",
       "14       1786      35          0       0               Indiana   \n",
       "28       1012      15          0       0                Nevada   \n",
       "26        171       5          0       0               Montana   \n",
       "1         114       3          0       0                Alaska   \n",
       "36        481      16          0       0              Oklahoma   \n",
       "38       4155      50          0       0          Pennsylvania   \n",
       "37        606      16          0       0                Oregon   \n",
       "39        408       4          0       0          Rhode Island   \n",
       "4        7138     146          0       0            California   \n",
       "40        925      18          0       0        South Carolina   \n",
       "49       1230      20          0       0             Wisconsin   \n",
       "35       1933      40          0       0                  Ohio   \n",
       "12        340       6          0       0                 Idaho   \n",
       "9        5473      63          0       0               Florida   \n",
       "2        1157      20          0       0               Arizona   \n",
       "16        372       8          0       0                Kansas   \n",
       "34        109       2          0       0          North Dakota   \n",
       "20       1413      15          0       0              Maryland   \n",
       "17        479      11          0       0              Kentucky   \n",
       "3         473       7          0       0              Arkansas   \n",
       "19        275       3          0       0                 Maine   \n",
       "29        314       3          0       0         New Hampshire   \n",
       "25       1051      13          0       0              Missouri   \n",
       "42       1917      14          0       0             Tennessee   \n",
       "0         899      10          0       0               Alabama   \n",
       "15        424       6          0       0                  Iowa   \n",
       "23        576      10          0       0             Minnesota   \n",
       "46       1020      15          0       0              Virginia   \n",
       "43       3147      45          0       0                 Texas   \n",
       "44        804       4          0       0                  Utah   \n",
       "41        101       1          0       0          South Dakota   \n",
       "27        145       2          0       0              Nebraska   \n",
       "31        237       2          0       0            New Mexico   \n",
       "33       1313       7          0       0        North Carolina   \n",
       "48        145       1          0       0         West Virginia   \n",
       "11        175       0          0       0                Hawaii   \n",
       "50         94       0          0       0               Wyoming   \n",
       "\n",
       "    POPESTIMATE2019  fraction_confirmed    deaths  death_rate?  \n",
       "32         19453561            0.342678  0.006261     1.827100  \n",
       "18          4648794            0.086582  0.003980     4.596273  \n",
       "47          7614893            0.064650  0.002692     4.164128  \n",
       "30          8882190            0.187296  0.002229     1.190190  \n",
       "45           623989            0.041026  0.001923     4.687500  \n",
       "22          9986857            0.065066  0.001842     2.831641  \n",
       "8            705749            0.056819  0.001275     2.244389  \n",
       "6           3565287            0.072112  0.001010     1.400233  \n",
       "10         10617423            0.026447  0.000819     3.098291  \n",
       "5           5758736            0.040130  0.000816     2.033752  \n",
       "21          6892503            0.083453  0.000812     0.973574  \n",
       "7            973764            0.027111  0.000616     2.272727  \n",
       "13         12671821            0.039900  0.000576     1.443829  \n",
       "24          2976149            0.028460  0.000538     1.889020  \n",
       "14          6732219            0.026529  0.000520     1.959686  \n",
       "28          3080156            0.032855  0.000487     1.482213  \n",
       "26          1068778            0.016000  0.000468     2.923977  \n",
       "1            731545            0.015583  0.000410     2.631579  \n",
       "36          3956971            0.012156  0.000404     3.326403  \n",
       "38         12801989            0.032456  0.000391     1.203369  \n",
       "37          4217737            0.014368  0.000379     2.640264  \n",
       "39          1059361            0.038514  0.000378     0.980392  \n",
       "4          39512223            0.018065  0.000370     2.045391  \n",
       "40          5148714            0.017966  0.000350     1.945946  \n",
       "49          5822434            0.021125  0.000343     1.626016  \n",
       "35         11689100            0.016537  0.000342     2.069322  \n",
       "12          1787065            0.019026  0.000336     1.764706  \n",
       "9          21477737            0.025482  0.000293     1.151105  \n",
       "2           7278717            0.015896  0.000275     1.728608  \n",
       "16          2913314            0.012769  0.000275     2.150538  \n",
       "34           762062            0.014303  0.000262     1.834862  \n",
       "20          6045680            0.023372  0.000248     1.061571  \n",
       "17          4467673            0.010721  0.000246     2.296451  \n",
       "3           3017804            0.015674  0.000232     1.479915  \n",
       "19          1344212            0.020458  0.000223     1.090909  \n",
       "29          1359711            0.023093  0.000221     0.955414  \n",
       "25          6137428            0.017124  0.000212     1.236917  \n",
       "42          6829174            0.028071  0.000205     0.730308  \n",
       "0           4903185            0.018335  0.000204     1.112347  \n",
       "15          3155070            0.013439  0.000190     1.415094  \n",
       "23          5639632            0.010213  0.000177     1.736111  \n",
       "46          8535519            0.011950  0.000176     1.470588  \n",
       "43         28995881            0.010853  0.000155     1.429933  \n",
       "44          3205958            0.025078  0.000125     0.497512  \n",
       "41           884659            0.011417  0.000113     0.990099  \n",
       "27          1934408            0.007496  0.000103     1.379310  \n",
       "31          2096829            0.011303  0.000095     0.843882  \n",
       "33         10488084            0.012519  0.000067     0.533130  \n",
       "48          1792147            0.008091  0.000056     0.689655  \n",
       "11          1415872            0.012360  0.000000     0.000000  \n",
       "50           578759            0.016242  0.000000     0.000000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.sort_values(by='deaths', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>3165.156863</td>\n",
       "      <td>58.196078</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.436069e+06</td>\n",
       "      <td>0.035670</td>\n",
       "      <td>0.000681</td>\n",
       "      <td>1.746396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9492.129642</td>\n",
       "      <td>174.133744</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.360660e+06</td>\n",
       "      <td>0.052845</td>\n",
       "      <td>0.001089</td>\n",
       "      <td>1.002590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>94.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.787590e+05</td>\n",
       "      <td>0.007496</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>327.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.789606e+06</td>\n",
       "      <td>0.013871</td>\n",
       "      <td>0.000204</td>\n",
       "      <td>1.101628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>899.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.467673e+06</td>\n",
       "      <td>0.019026</td>\n",
       "      <td>0.000342</td>\n",
       "      <td>1.482213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2441.000000</td>\n",
       "      <td>42.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.446805e+06</td>\n",
       "      <td>0.032656</td>\n",
       "      <td>0.000557</td>\n",
       "      <td>2.109930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>66663.000000</td>\n",
       "      <td>1218.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.951222e+07</td>\n",
       "      <td>0.342678</td>\n",
       "      <td>0.006261</td>\n",
       "      <td>4.687500</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    3165.156863    58.196078        0.0     0.0     6.436069e+06   \n",
       "std     9492.129642   174.133744        0.0     0.0     7.360660e+06   \n",
       "min       94.000000     0.000000        0.0     0.0     5.787590e+05   \n",
       "25%      327.000000     5.500000        0.0     0.0     1.789606e+06   \n",
       "50%      899.000000    14.000000        0.0     0.0     4.467673e+06   \n",
       "75%     2441.000000    42.500000        0.0     0.0     7.446805e+06   \n",
       "max    66663.000000  1218.000000        0.0     0.0     3.951222e+07   \n",
       "\n",
       "       fraction_confirmed     deaths  death_rate?  \n",
       "count           51.000000  51.000000    51.000000  \n",
       "mean             0.035670   0.000681     1.746396  \n",
       "std              0.052845   0.001089     1.002590  \n",
       "min              0.007496   0.000000     0.000000  \n",
       "25%              0.013871   0.000204     1.101628  \n",
       "50%              0.019026   0.000342     1.482213  \n",
       "75%              0.032656   0.000557     2.109930  \n",
       "max              0.342678   0.006261     4.687500  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "state_with_population.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Something strange about the data direct from github"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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",
       " 3434         NaN      NaN        NaN             NaN           Venezuela   \n",
       " 3435         NaN      NaN        NaN             NaN             Vietnam   \n",
       " 3436         NaN      NaN        NaN             NaN  West Bank and Gaza   \n",
       " 3437         NaN      NaN        NaN             NaN              Zambia   \n",
       " 3438         NaN      NaN        NaN             NaN            Zimbabwe   \n",
       " \n",
       "               Last_Update        Lat       Long_  Confirmed  Deaths  \\\n",
       " 0     2020-03-30 22:52:45  34.223334  -82.461707          3       0   \n",
       " 1     2020-03-30 22:52:45  30.295065  -92.414197         11       1   \n",
       " 2     2020-03-30 22:52:45  37.767072  -75.632346          6       0   \n",
       " 3     2020-03-30 22:52:45  43.452658 -116.241552        113       2   \n",
       " 4     2020-03-30 22:52:45  41.330756  -94.471059          1       0   \n",
       " ...                   ...        ...         ...        ...     ...   \n",
       " 3434  2020-03-30 22:52:33   6.423800  -66.589700        135       3   \n",
       " 3435  2020-03-30 22:52:33  14.058324  108.277199        203       0   \n",
       " 3436  2020-03-30 22:52:33  31.952200   35.233200        116       1   \n",
       " 3437  2020-03-30 22:52:33 -13.133897   27.849332         35       0   \n",
       " 3438  2020-03-30 22:52:33 -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",
       " 3434         39      93                      Venezuela  \n",
       " 3435         55     148                        Vietnam  \n",
       " 3436         18      97             West Bank and Gaza  \n",
       " 3437          0      35                         Zambia  \n",
       " 3438          0       6                       Zimbabwe  \n",
       " \n",
       " [3439 rows x 13 columns]]"
      ]
     },
     "execution_count": 24,
     "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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