Exploratory - Excess Deaths vs Confirmed Cases.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "remote: Enumerating objects: 56, done.\u001b[K\n",
      "remote: Counting objects: 100% (56/56), done.\u001b[K\n",
      "remote: Compressing objects: 100% (23/23), done.\u001b[K\n",
      "remote: Total 56 (delta 39), reused 50 (delta 33), pack-reused 0\u001b[K\n",
      "Unpacking objects: 100% (56/56), done.\n",
      "From https://github.com/CSSEGISandData/COVID-19\n",
      "   7ffc40c9..8f6f56ac  web-data   -> origin/web-data\n",
      "Already up to date.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%config InlineBackend.print_figure_kwargs={}\n",
    "\n",
    "import io\n",
    "import math\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import random\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from datetime import datetime, timedelta\n",
    "from IPython.display import Markdown, display, Image\n",
    "from PIL import Image as PILImage\n",
    "\n",
    "# LOCAL GIT REPOSITORY LOCATION FOR https://github.com/CSSEGISandData/COVID-19\n",
    "local_covid_19_data = '/Users/davidmorton/Documents/COVID-19/'\n",
    "\n",
    "!git -C $local_covid_19_data pull\n",
    "\n",
    "states_to_drop = ['Puerto Rico', 'American Samoa', 'Guam', 'District of Columbia', 'Northern Mariana Islands', 'Virgin Islands', 'Diamond Princess', 'Grand Princess', 'Recovered']\n",
    "\n",
    "state_names = pd.read_csv('states.csv').set_index('State').to_dict()['Abbreviation']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_single_date_data(date):\n",
    "    datestr = date.strftime('%m-%d-%Y')\n",
    "    filename = local_covid_19_data + 'csse_covid_19_data/csse_covid_19_daily_reports_us/' + datestr + '.csv'\n",
    "    result = pd.read_csv(filename)\n",
    "    result['Date'] = date\n",
    "    return result\n",
    "\n",
    "def get_daily_report_data():\n",
    "    start_date_for_daily_data = datetime(2020, 4, 12)\n",
    "    current_date = start_date_for_daily_data\n",
    "\n",
    "    yesterday = (datetime.now() + timedelta(days = -1))\n",
    "    #yesterday = datetime.now()\n",
    "    lastdate = yesterday.strftime('%m-%d-%Y')\n",
    "    \n",
    "    series = pd.DataFrame()\n",
    "\n",
    "    while True:\n",
    "        series = series.append(get_single_date_data(current_date))\n",
    "        current_date = current_date + timedelta(days = 1)\n",
    "        if current_date > yesterday:\n",
    "            break\n",
    "    \n",
    "    \n",
    "    return series\n",
    "\n",
    "def get_covid_percentages():\n",
    "    states_to_drop = ['Puerto Rico', 'American Samoa', 'Guam', 'Northern Mariana Islands', 'Virgin Islands', 'Diamond Princess', 'Grand Princess', 'Recovered']\n",
    "\n",
    "    # Get the daily report, and immediately sort it by province and date, and remove the non-state territories. \n",
    "    data = get_daily_report_data()[['Province_State', 'Date', 'Confirmed', 'People_Tested']]\n",
    "    data = data.sort_values(by=['Province_State', 'Date']).reset_index()\n",
    "    data = data[~data['Province_State'].isin(states_to_drop)]\n",
    "    data = data.set_index(['Province_State', 'Date'])\n",
    "    \n",
    "    # Create a confirmed percentage column, and then roll it in a 7-day rolling average\n",
    "    data['ConfirmedPercent'] = data['Confirmed'].div(data['People_Tested'])\n",
    "    data['ConfirmedPercentRolling'] = data.sort_values(by=['Province_State', 'Date']).groupby('Province_State')['ConfirmedPercent'].rolling(window=7).mean().reset_index(level=1, drop=1)\n",
    "\n",
    "    # Create a pivot table for use in the heatmap.\n",
    "    data = data.reset_index()[['Province_State', 'Date', 'ConfirmedPercentRolling']].pivot(values='ConfirmedPercentRolling', index='Date', columns='Province_State')\n",
    "    data = data.reindex(data.mean().sort_values(ascending=False).index, axis=1).dropna()\n",
    "\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_excess_deaths():\n",
    "    rawdata = pd.read_csv('https://data.cdc.gov/api/views/u6jv-9ijr/rows.csv?accessType=DOWNLOAD&bom=true&format=true%20target=')\n",
    "    rawdata = rawdata[rawdata['Jurisdiction'] != 'United States']\n",
    "    gte2020 = rawdata[rawdata['Year'] == 2020].groupby(['Jurisdiction', 'Week'])[['Number of Deaths']].sum()\n",
    "    maxweek = gte2020.reset_index()['Week'].max()\n",
    "    lt2020 = rawdata[(rawdata['Year'] < 2020) & (rawdata['Week'] <= maxweek)].groupby(['Jurisdiction', 'Year', 'Week']).sum()[['Number of Deaths']].groupby(['Jurisdiction', 'Week']).mean()#.rename(columns={'Number of Deaths': 'Avg'})\n",
    "\n",
    "    compareData = lt2020.copy().rename(columns={'Number of Deaths':'Average'})\n",
    "\n",
    "    compareData['2020'] = gte2020['Number of Deaths']\n",
    "\n",
    "    compareData = compareData.fillna(0)\n",
    "\n",
    "    compareData['Difference'] = (compareData['2020'].div(compareData['Average']) * 100) - 100\n",
    "\n",
    "    compareData = compareData.reset_index()\n",
    "\n",
    "    pivottable = compareData.pivot(index='Week', columns='Jurisdiction', values='Difference')\n",
    "\n",
    "    pivottable['Week Ending'] = pd.to_datetime(rawdata[rawdata['Year'] == 2020].groupby(['Week'])['Week Ending Date'].max())\n",
    "    pivottable = pivottable.reset_index().set_index('Week Ending').drop(['Week'], axis=1)\n",
    "    pivottable['New York'] = pivottable['New York'] + pivottable['New York City']\n",
    "    pivottable = pivottable.drop(['New York City', 'Puerto Rico'], axis=1)\n",
    "    return pivottable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "covidpercents_raw = get_covid_percentages()\n",
    "excessdeaths_raw = get_excess_deaths()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "covidpercents = covidpercents_raw.copy()\n",
    "excessdeaths = excessdeaths_raw.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get equal timespans between both sets of data, and upconvert the excess deaths. \n",
    "\n",
    "minvalue = max([excessdeaths.index.min(), covidpercents.index.min()])\n",
    "maxvalue = min([excessdeaths.index.max(), covidpercents.index.max()])\n",
    "\n",
    "excessdeaths = excessdeaths[(excessdeaths.index >= minvalue) & (excessdeaths.index <= maxvalue)]\n",
    "\n",
    "covidpercents = covidpercents[(covidpercents.index >= minvalue) & (covidpercents.index <= maxvalue)]\n",
    "\n",
    "excessdeaths = excessdeaths.resample(rule=\"1D\").asfreq().interpolate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Who is telling the truth here?')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_axes(rows, cols):\n",
    "    fig, axes = plt.subplots(rows, \n",
    "                         cols, \n",
    "                         figsize=(18, rows*6), \n",
    "                         gridspec_kw={'hspace': 0.5, 'wspace': 0.3}, \n",
    "                         facecolor='#fbfbfb')\n",
    "    if (rows * cols) > 1:\n",
    "        return fig, axes.flatten()\n",
    "    else:\n",
    "        return fig, [axes]\n",
    "    \n",
    "def getgraphforstate(state, ax):\n",
    "    txpercents = covidpercents[state]\n",
    "    txexcess = excessdeaths[state]\n",
    "    df = [[a[0],a[1]] for a in list(zip(txpercents, txexcess))]\n",
    "    scaler = MinMaxScaler()\n",
    "    newframe = pd.DataFrame(scaler.fit_transform(df), columns=['COVID Positive Percent', 'Excess Deaths'], index=txpercents.index)\n",
    "    plot = newframe.plot.line(ax=ax)\n",
    "    plot.set_title(state)\n",
    "    \n",
    "def drawgraphs(states):\n",
    "    numrows = math.ceil(len(states) / 3)\n",
    "    fig, axes = get_axes(numrows, 3);\n",
    "\n",
    "    for i, state in enumerate(states):\n",
    "        getgraphforstate(state, axes[i])\n",
    "\n",
    "def normalize(data):\n",
    "    return (data - data.min()) * (data.max() - data.min())\n",
    "\n",
    "def calc_r_squared(pcts, deaths):\n",
    "    pcts = normalize(pcts)\n",
    "    deaths = normalize(deaths)\n",
    "    correlation_matrix = np.corrcoef(pcts, deaths)\n",
    "    correlation_xy = correlation_matrix[0,1]\n",
    "    r_squared = correlation_xy**2*(correlation_xy/abs(correlation_xy))\n",
    "    return r_squared\n",
    "\n",
    "    \n",
    "states = excessdeaths.columns\n",
    "results = []\n",
    "for state in states:\n",
    "    pcts = covidpercents[state]\n",
    "    deaths = excessdeaths[state]\n",
    "    results.append([state, calc_r_squared(pcts, deaths)])\n",
    "\n",
    "r2results = pd.DataFrame(results).set_index(0).rename(columns={1:\"Goodness of Fit\"}).sort_values(by=['Goodness of Fit'], ascending=True)\n",
    "scaler = MinMaxScaler()\n",
    "r2results['Goodness of Fit'] = [a[0] for a in scaler.fit_transform(r2results)]\n",
    "plot = r2results.plot.barh(figsize=(17, 13))\n",
    "plot.set_title('Who is telling the truth here?', size=30)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drawgraphs(['Texas', 'Louisiana', 'New York'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Jurisdiction</th>\n",
       "      <th>Alabama</th>\n",
       "      <th>Alaska</th>\n",
       "      <th>Arizona</th>\n",
       "      <th>Arkansas</th>\n",
       "      <th>California</th>\n",
       "      <th>Colorado</th>\n",
       "      <th>Connecticut</th>\n",
       "      <th>Delaware</th>\n",
       "      <th>District of Columbia</th>\n",
       "      <th>Florida</th>\n",
       "      <th>...</th>\n",
       "      <th>South Dakota</th>\n",
       "      <th>Tennessee</th>\n",
       "      <th>Texas</th>\n",
       "      <th>Utah</th>\n",
       "      <th>Vermont</th>\n",
       "      <th>Virginia</th>\n",
       "      <th>Washington</th>\n",
       "      <th>West Virginia</th>\n",
       "      <th>Wisconsin</th>\n",
       "      <th>Wyoming</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Week Ending</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-04</th>\n",
       "      <td>-1.018100</td>\n",
       "      <td>-31.623932</td>\n",
       "      <td>3.408374</td>\n",
       "      <td>-2.510004</td>\n",
       "      <td>-3.975686</td>\n",
       "      <td>-3.294893</td>\n",
       "      <td>-7.193959</td>\n",
       "      <td>-9.365559</td>\n",
       "      <td>-23.387097</td>\n",
       "      <td>2.993012</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.211329</td>\n",
       "      <td>-2.098467</td>\n",
       "      <td>-2.855296</td>\n",
       "      <td>-14.492754</td>\n",
       "      <td>-5.017921</td>\n",
       "      <td>-4.108376</td>\n",
       "      <td>-4.313554</td>\n",
       "      <td>-0.617631</td>\n",
       "      <td>-3.510785</td>\n",
       "      <td>90.058480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-11</th>\n",
       "      <td>-3.003337</td>\n",
       "      <td>34.146341</td>\n",
       "      <td>3.944125</td>\n",
       "      <td>1.834519</td>\n",
       "      <td>-5.334535</td>\n",
       "      <td>1.624668</td>\n",
       "      <td>-7.472613</td>\n",
       "      <td>-2.504472</td>\n",
       "      <td>-15.335463</td>\n",
       "      <td>2.115222</td>\n",
       "      <td>...</td>\n",
       "      <td>15.853659</td>\n",
       "      <td>5.887163</td>\n",
       "      <td>1.371062</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>-8.385093</td>\n",
       "      <td>6.986133</td>\n",
       "      <td>-2.855952</td>\n",
       "      <td>0.341103</td>\n",
       "      <td>-9.431313</td>\n",
       "      <td>-63.483146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-18</th>\n",
       "      <td>-6.533575</td>\n",
       "      <td>12.244898</td>\n",
       "      <td>8.463252</td>\n",
       "      <td>-1.751714</td>\n",
       "      <td>-0.819004</td>\n",
       "      <td>8.711175</td>\n",
       "      <td>-8.933385</td>\n",
       "      <td>-17.618271</td>\n",
       "      <td>72.413793</td>\n",
       "      <td>0.994369</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.556604</td>\n",
       "      <td>0.264945</td>\n",
       "      <td>-1.954319</td>\n",
       "      <td>10.785953</td>\n",
       "      <td>33.574007</td>\n",
       "      <td>1.978962</td>\n",
       "      <td>-0.175131</td>\n",
       "      <td>11.234705</td>\n",
       "      <td>-0.719091</td>\n",
       "      <td>83.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>-3.797468</td>\n",
       "      <td>-23.076923</td>\n",
       "      <td>1.394850</td>\n",
       "      <td>-4.918668</td>\n",
       "      <td>3.356420</td>\n",
       "      <td>9.696547</td>\n",
       "      <td>-5.891354</td>\n",
       "      <td>-5.612245</td>\n",
       "      <td>-10.156250</td>\n",
       "      <td>4.469823</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.287554</td>\n",
       "      <td>1.895323</td>\n",
       "      <td>-2.472696</td>\n",
       "      <td>-5.098039</td>\n",
       "      <td>26.543210</td>\n",
       "      <td>2.391904</td>\n",
       "      <td>-0.502627</td>\n",
       "      <td>1.285190</td>\n",
       "      <td>-1.619819</td>\n",
       "      <td>3.896104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>-7.970514</td>\n",
       "      <td>35.514019</td>\n",
       "      <td>2.326583</td>\n",
       "      <td>2.237654</td>\n",
       "      <td>-0.501341</td>\n",
       "      <td>1.380042</td>\n",
       "      <td>1.138520</td>\n",
       "      <td>-29.807692</td>\n",
       "      <td>8.870968</td>\n",
       "      <td>0.241333</td>\n",
       "      <td>...</td>\n",
       "      <td>13.475177</td>\n",
       "      <td>3.581220</td>\n",
       "      <td>-1.119751</td>\n",
       "      <td>2.596315</td>\n",
       "      <td>-29.878049</td>\n",
       "      <td>3.830645</td>\n",
       "      <td>4.675029</td>\n",
       "      <td>-0.229358</td>\n",
       "      <td>9.732595</td>\n",
       "      <td>-6.474820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-08</th>\n",
       "      <td>-1.193482</td>\n",
       "      <td>33.620690</td>\n",
       "      <td>0.328947</td>\n",
       "      <td>7.943374</td>\n",
       "      <td>3.999465</td>\n",
       "      <td>5.571327</td>\n",
       "      <td>-8.000000</td>\n",
       "      <td>-20.765027</td>\n",
       "      <td>-6.462585</td>\n",
       "      <td>3.261849</td>\n",
       "      <td>...</td>\n",
       "      <td>-16.313559</td>\n",
       "      <td>1.541555</td>\n",
       "      <td>3.969637</td>\n",
       "      <td>-10.341952</td>\n",
       "      <td>-2.280130</td>\n",
       "      <td>10.164885</td>\n",
       "      <td>-0.161962</td>\n",
       "      <td>9.326745</td>\n",
       "      <td>-3.372723</td>\n",
       "      <td>-41.520468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-15</th>\n",
       "      <td>-2.015288</td>\n",
       "      <td>-5.405405</td>\n",
       "      <td>9.001564</td>\n",
       "      <td>3.660886</td>\n",
       "      <td>-0.192929</td>\n",
       "      <td>-4.008439</td>\n",
       "      <td>-2.739182</td>\n",
       "      <td>-24.217463</td>\n",
       "      <td>-32.330827</td>\n",
       "      <td>0.767524</td>\n",
       "      <td>...</td>\n",
       "      <td>22.747748</td>\n",
       "      <td>-3.859407</td>\n",
       "      <td>5.223506</td>\n",
       "      <td>22.395833</td>\n",
       "      <td>27.862595</td>\n",
       "      <td>0.790151</td>\n",
       "      <td>1.234004</td>\n",
       "      <td>3.978300</td>\n",
       "      <td>7.778343</td>\n",
       "      <td>1.351351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <td>2.040816</td>\n",
       "      <td>-25.925926</td>\n",
       "      <td>11.979765</td>\n",
       "      <td>5.659684</td>\n",
       "      <td>2.317911</td>\n",
       "      <td>9.925293</td>\n",
       "      <td>0.434955</td>\n",
       "      <td>0.192678</td>\n",
       "      <td>-9.356725</td>\n",
       "      <td>2.016178</td>\n",
       "      <td>...</td>\n",
       "      <td>42.344498</td>\n",
       "      <td>-1.767330</td>\n",
       "      <td>3.115822</td>\n",
       "      <td>-7.716786</td>\n",
       "      <td>-12.698413</td>\n",
       "      <td>3.221626</td>\n",
       "      <td>1.003032</td>\n",
       "      <td>7.920792</td>\n",
       "      <td>27.067015</td>\n",
       "      <td>-45.454545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-29</th>\n",
       "      <td>9.415661</td>\n",
       "      <td>-16.666667</td>\n",
       "      <td>9.206989</td>\n",
       "      <td>3.100775</td>\n",
       "      <td>-1.140261</td>\n",
       "      <td>11.215304</td>\n",
       "      <td>-4.332130</td>\n",
       "      <td>-6.113537</td>\n",
       "      <td>15.942029</td>\n",
       "      <td>3.268899</td>\n",
       "      <td>...</td>\n",
       "      <td>0.441501</td>\n",
       "      <td>2.613577</td>\n",
       "      <td>2.299660</td>\n",
       "      <td>-0.483481</td>\n",
       "      <td>57.446809</td>\n",
       "      <td>0.315223</td>\n",
       "      <td>0.786855</td>\n",
       "      <td>4.207120</td>\n",
       "      <td>21.346324</td>\n",
       "      <td>32.575758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-07</th>\n",
       "      <td>-3.359299</td>\n",
       "      <td>-7.894737</td>\n",
       "      <td>11.367634</td>\n",
       "      <td>6.719368</td>\n",
       "      <td>1.683410</td>\n",
       "      <td>-2.177731</td>\n",
       "      <td>-6.862745</td>\n",
       "      <td>15.900383</td>\n",
       "      <td>-55.938697</td>\n",
       "      <td>5.861391</td>\n",
       "      <td>...</td>\n",
       "      <td>28.865979</td>\n",
       "      <td>7.418450</td>\n",
       "      <td>2.551925</td>\n",
       "      <td>0.793651</td>\n",
       "      <td>-15.954416</td>\n",
       "      <td>8.532231</td>\n",
       "      <td>6.370475</td>\n",
       "      <td>8.878808</td>\n",
       "      <td>10.711431</td>\n",
       "      <td>-38.709677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>4.737855</td>\n",
       "      <td>26.865672</td>\n",
       "      <td>8.950276</td>\n",
       "      <td>0.120627</td>\n",
       "      <td>-1.685136</td>\n",
       "      <td>-1.232394</td>\n",
       "      <td>8.454313</td>\n",
       "      <td>2.079395</td>\n",
       "      <td>-3.017241</td>\n",
       "      <td>3.852545</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.229358</td>\n",
       "      <td>6.063332</td>\n",
       "      <td>3.352321</td>\n",
       "      <td>16.289593</td>\n",
       "      <td>56.028369</td>\n",
       "      <td>8.850752</td>\n",
       "      <td>-0.826446</td>\n",
       "      <td>0.389864</td>\n",
       "      <td>5.329311</td>\n",
       "      <td>-16.167665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-21</th>\n",
       "      <td>5.395232</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>7.915324</td>\n",
       "      <td>4.377104</td>\n",
       "      <td>5.185538</td>\n",
       "      <td>8.461003</td>\n",
       "      <td>9.984089</td>\n",
       "      <td>4.961832</td>\n",
       "      <td>-4.761905</td>\n",
       "      <td>2.118514</td>\n",
       "      <td>...</td>\n",
       "      <td>5.582524</td>\n",
       "      <td>7.415485</td>\n",
       "      <td>7.630150</td>\n",
       "      <td>23.655914</td>\n",
       "      <td>28.571429</td>\n",
       "      <td>5.521936</td>\n",
       "      <td>0.045475</td>\n",
       "      <td>14.780903</td>\n",
       "      <td>7.617139</td>\n",
       "      <td>102.205882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-28</th>\n",
       "      <td>3.407908</td>\n",
       "      <td>-27.927928</td>\n",
       "      <td>13.673806</td>\n",
       "      <td>0.658707</td>\n",
       "      <td>5.662917</td>\n",
       "      <td>3.375527</td>\n",
       "      <td>24.683009</td>\n",
       "      <td>-7.339450</td>\n",
       "      <td>-2.723735</td>\n",
       "      <td>4.429589</td>\n",
       "      <td>...</td>\n",
       "      <td>-22.305764</td>\n",
       "      <td>2.672928</td>\n",
       "      <td>9.651493</td>\n",
       "      <td>11.010009</td>\n",
       "      <td>-11.864407</td>\n",
       "      <td>11.419812</td>\n",
       "      <td>8.224575</td>\n",
       "      <td>6.765984</td>\n",
       "      <td>10.230179</td>\n",
       "      <td>-54.248366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-04</th>\n",
       "      <td>9.937107</td>\n",
       "      <td>37.500000</td>\n",
       "      <td>6.968073</td>\n",
       "      <td>-2.966102</td>\n",
       "      <td>8.592287</td>\n",
       "      <td>20.580573</td>\n",
       "      <td>12.019624</td>\n",
       "      <td>40.889831</td>\n",
       "      <td>24.309392</td>\n",
       "      <td>5.151169</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.421911</td>\n",
       "      <td>8.192506</td>\n",
       "      <td>8.120187</td>\n",
       "      <td>14.493997</td>\n",
       "      <td>28.846154</td>\n",
       "      <td>5.691855</td>\n",
       "      <td>1.838413</td>\n",
       "      <td>7.353907</td>\n",
       "      <td>7.206068</td>\n",
       "      <td>140.384615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-11</th>\n",
       "      <td>4.166667</td>\n",
       "      <td>51.685393</td>\n",
       "      <td>9.324759</td>\n",
       "      <td>1.163274</td>\n",
       "      <td>10.608593</td>\n",
       "      <td>12.508859</td>\n",
       "      <td>30.056634</td>\n",
       "      <td>16.071429</td>\n",
       "      <td>52.968037</td>\n",
       "      <td>5.006105</td>\n",
       "      <td>...</td>\n",
       "      <td>-11.633110</td>\n",
       "      <td>0.946372</td>\n",
       "      <td>8.621280</td>\n",
       "      <td>7.758621</td>\n",
       "      <td>-40.000000</td>\n",
       "      <td>18.622196</td>\n",
       "      <td>5.712166</td>\n",
       "      <td>9.606705</td>\n",
       "      <td>3.740648</td>\n",
       "      <td>71.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-18</th>\n",
       "      <td>3.619679</td>\n",
       "      <td>3.448276</td>\n",
       "      <td>7.553957</td>\n",
       "      <td>-2.034498</td>\n",
       "      <td>8.901515</td>\n",
       "      <td>24.571429</td>\n",
       "      <td>35.398614</td>\n",
       "      <td>-8.611599</td>\n",
       "      <td>40.096618</td>\n",
       "      <td>2.909306</td>\n",
       "      <td>...</td>\n",
       "      <td>-22.794118</td>\n",
       "      <td>10.409491</td>\n",
       "      <td>7.287027</td>\n",
       "      <td>4.757930</td>\n",
       "      <td>16.981132</td>\n",
       "      <td>12.482154</td>\n",
       "      <td>1.895735</td>\n",
       "      <td>-10.175439</td>\n",
       "      <td>1.507668</td>\n",
       "      <td>18.181818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-25</th>\n",
       "      <td>2.173913</td>\n",
       "      <td>-23.529412</td>\n",
       "      <td>14.918867</td>\n",
       "      <td>2.327624</td>\n",
       "      <td>3.883495</td>\n",
       "      <td>16.718628</td>\n",
       "      <td>-2.233460</td>\n",
       "      <td>43.507973</td>\n",
       "      <td>51.898734</td>\n",
       "      <td>8.617355</td>\n",
       "      <td>...</td>\n",
       "      <td>28.398792</td>\n",
       "      <td>0.996803</td>\n",
       "      <td>11.681109</td>\n",
       "      <td>13.809524</td>\n",
       "      <td>28.424658</td>\n",
       "      <td>13.238625</td>\n",
       "      <td>11.546499</td>\n",
       "      <td>-2.047782</td>\n",
       "      <td>-2.367651</td>\n",
       "      <td>55.339806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-02</th>\n",
       "      <td>11.936268</td>\n",
       "      <td>-3.225806</td>\n",
       "      <td>21.990973</td>\n",
       "      <td>0.043592</td>\n",
       "      <td>2.450509</td>\n",
       "      <td>5.826397</td>\n",
       "      <td>-55.357143</td>\n",
       "      <td>28.865979</td>\n",
       "      <td>15.217391</td>\n",
       "      <td>0.277906</td>\n",
       "      <td>...</td>\n",
       "      <td>-27.860697</td>\n",
       "      <td>2.741039</td>\n",
       "      <td>6.391897</td>\n",
       "      <td>8.597285</td>\n",
       "      <td>-2.723735</td>\n",
       "      <td>12.136409</td>\n",
       "      <td>-1.340283</td>\n",
       "      <td>0.199734</td>\n",
       "      <td>5.111402</td>\n",
       "      <td>-35.353535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-09</th>\n",
       "      <td>7.359536</td>\n",
       "      <td>-17.322835</td>\n",
       "      <td>15.873411</td>\n",
       "      <td>11.603189</td>\n",
       "      <td>4.160191</td>\n",
       "      <td>-2.701644</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>2.459016</td>\n",
       "      <td>-5.913978</td>\n",
       "      <td>4.269843</td>\n",
       "      <td>...</td>\n",
       "      <td>9.725686</td>\n",
       "      <td>-2.392344</td>\n",
       "      <td>7.585029</td>\n",
       "      <td>-10.828025</td>\n",
       "      <td>45.454545</td>\n",
       "      <td>8.757929</td>\n",
       "      <td>4.316547</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>-3.534414</td>\n",
       "      <td>-2.173913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-16</th>\n",
       "      <td>7.056289</td>\n",
       "      <td>-26.923077</td>\n",
       "      <td>5.935484</td>\n",
       "      <td>-1.929982</td>\n",
       "      <td>5.205565</td>\n",
       "      <td>7.943374</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-6.108597</td>\n",
       "      <td>-56.284153</td>\n",
       "      <td>5.560087</td>\n",
       "      <td>...</td>\n",
       "      <td>-17.322835</td>\n",
       "      <td>4.280156</td>\n",
       "      <td>6.126370</td>\n",
       "      <td>7.208029</td>\n",
       "      <td>7.317073</td>\n",
       "      <td>11.099585</td>\n",
       "      <td>-2.571213</td>\n",
       "      <td>16.077866</td>\n",
       "      <td>-3.291621</td>\n",
       "      <td>-16.083916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-23</th>\n",
       "      <td>10.899701</td>\n",
       "      <td>75.342466</td>\n",
       "      <td>8.333333</td>\n",
       "      <td>5.034325</td>\n",
       "      <td>-1.015098</td>\n",
       "      <td>2.529183</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>4.444444</td>\n",
       "      <td>28.712871</td>\n",
       "      <td>8.853259</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.528190</td>\n",
       "      <td>8.134156</td>\n",
       "      <td>8.350537</td>\n",
       "      <td>-1.624549</td>\n",
       "      <td>5.158730</td>\n",
       "      <td>5.179367</td>\n",
       "      <td>6.278880</td>\n",
       "      <td>11.436950</td>\n",
       "      <td>-0.354900</td>\n",
       "      <td>7.913669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-30</th>\n",
       "      <td>-0.533109</td>\n",
       "      <td>-3.846154</td>\n",
       "      <td>5.991368</td>\n",
       "      <td>0.221239</td>\n",
       "      <td>3.482328</td>\n",
       "      <td>6.830487</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-14.117647</td>\n",
       "      <td>27.314815</td>\n",
       "      <td>2.672437</td>\n",
       "      <td>...</td>\n",
       "      <td>8.308605</td>\n",
       "      <td>-0.758165</td>\n",
       "      <td>5.416487</td>\n",
       "      <td>1.023018</td>\n",
       "      <td>44.897959</td>\n",
       "      <td>3.604553</td>\n",
       "      <td>-6.853904</td>\n",
       "      <td>-21.602787</td>\n",
       "      <td>4.781997</td>\n",
       "      <td>-49.640288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-06</th>\n",
       "      <td>3.668262</td>\n",
       "      <td>-31.623932</td>\n",
       "      <td>15.445026</td>\n",
       "      <td>4.725125</td>\n",
       "      <td>-0.245341</td>\n",
       "      <td>1.549414</td>\n",
       "      <td>-54.077061</td>\n",
       "      <td>-46.169772</td>\n",
       "      <td>-21.568627</td>\n",
       "      <td>6.093091</td>\n",
       "      <td>...</td>\n",
       "      <td>-15.451895</td>\n",
       "      <td>-2.650555</td>\n",
       "      <td>6.335970</td>\n",
       "      <td>18.035883</td>\n",
       "      <td>17.307692</td>\n",
       "      <td>6.108312</td>\n",
       "      <td>-7.682292</td>\n",
       "      <td>-43.870015</td>\n",
       "      <td>4.514089</td>\n",
       "      <td>81.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-13</th>\n",
       "      <td>-0.254669</td>\n",
       "      <td>15.740741</td>\n",
       "      <td>20.846731</td>\n",
       "      <td>3.228740</td>\n",
       "      <td>-0.278757</td>\n",
       "      <td>4.227710</td>\n",
       "      <td>-54.867675</td>\n",
       "      <td>5.855856</td>\n",
       "      <td>-17.874396</td>\n",
       "      <td>3.693876</td>\n",
       "      <td>...</td>\n",
       "      <td>-31.486880</td>\n",
       "      <td>2.361417</td>\n",
       "      <td>11.657151</td>\n",
       "      <td>8.652901</td>\n",
       "      <td>15.969582</td>\n",
       "      <td>10.441767</td>\n",
       "      <td>-3.230112</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>3.188663</td>\n",
       "      <td>26.016260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-20</th>\n",
       "      <td>-35.904327</td>\n",
       "      <td>79.775281</td>\n",
       "      <td>22.392395</td>\n",
       "      <td>16.898704</td>\n",
       "      <td>-5.012637</td>\n",
       "      <td>-1.291129</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-10.052910</td>\n",
       "      <td>-42.708333</td>\n",
       "      <td>-0.988032</td>\n",
       "      <td>...</td>\n",
       "      <td>-49.748744</td>\n",
       "      <td>-3.989050</td>\n",
       "      <td>8.781646</td>\n",
       "      <td>18.075802</td>\n",
       "      <td>-43.548387</td>\n",
       "      <td>-4.397906</td>\n",
       "      <td>-1.904762</td>\n",
       "      <td>-100.000000</td>\n",
       "      <td>-4.135338</td>\n",
       "      <td>-47.580645</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25 rows × 51 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Jurisdiction    Alabama      Alaska    Arizona   Arkansas  California  \\\n",
       "Week Ending                                                             \n",
       "2020-01-04    -1.018100  -31.623932   3.408374  -2.510004   -3.975686   \n",
       "2020-01-11    -3.003337   34.146341   3.944125   1.834519   -5.334535   \n",
       "2020-01-18    -6.533575   12.244898   8.463252  -1.751714   -0.819004   \n",
       "2020-01-25    -3.797468  -23.076923   1.394850  -4.918668    3.356420   \n",
       "2020-02-01    -7.970514   35.514019   2.326583   2.237654   -0.501341   \n",
       "2020-02-08    -1.193482   33.620690   0.328947   7.943374    3.999465   \n",
       "2020-02-15    -2.015288   -5.405405   9.001564   3.660886   -0.192929   \n",
       "2020-02-22     2.040816  -25.925926  11.979765   5.659684    2.317911   \n",
       "2020-02-29     9.415661  -16.666667   9.206989   3.100775   -1.140261   \n",
       "2020-03-07    -3.359299   -7.894737  11.367634   6.719368    1.683410   \n",
       "2020-03-14     4.737855   26.865672   8.950276   0.120627   -1.685136   \n",
       "2020-03-21     5.395232 -100.000000   7.915324   4.377104    5.185538   \n",
       "2020-03-28     3.407908  -27.927928  13.673806   0.658707    5.662917   \n",
       "2020-04-04     9.937107   37.500000   6.968073  -2.966102    8.592287   \n",
       "2020-04-11     4.166667   51.685393   9.324759   1.163274   10.608593   \n",
       "2020-04-18     3.619679    3.448276   7.553957  -2.034498    8.901515   \n",
       "2020-04-25     2.173913  -23.529412  14.918867   2.327624    3.883495   \n",
       "2020-05-02    11.936268   -3.225806  21.990973   0.043592    2.450509   \n",
       "2020-05-09     7.359536  -17.322835  15.873411  11.603189    4.160191   \n",
       "2020-05-16     7.056289  -26.923077   5.935484  -1.929982    5.205565   \n",
       "2020-05-23    10.899701   75.342466   8.333333   5.034325   -1.015098   \n",
       "2020-05-30    -0.533109   -3.846154   5.991368   0.221239    3.482328   \n",
       "2020-06-06     3.668262  -31.623932  15.445026   4.725125   -0.245341   \n",
       "2020-06-13    -0.254669   15.740741  20.846731   3.228740   -0.278757   \n",
       "2020-06-20   -35.904327   79.775281  22.392395  16.898704   -5.012637   \n",
       "\n",
       "Jurisdiction   Colorado  Connecticut   Delaware  District of Columbia  \\\n",
       "Week Ending                                                             \n",
       "2020-01-04    -3.294893    -7.193959  -9.365559            -23.387097   \n",
       "2020-01-11     1.624668    -7.472613  -2.504472            -15.335463   \n",
       "2020-01-18     8.711175    -8.933385 -17.618271             72.413793   \n",
       "2020-01-25     9.696547    -5.891354  -5.612245            -10.156250   \n",
       "2020-02-01     1.380042     1.138520 -29.807692              8.870968   \n",
       "2020-02-08     5.571327    -8.000000 -20.765027             -6.462585   \n",
       "2020-02-15    -4.008439    -2.739182 -24.217463            -32.330827   \n",
       "2020-02-22     9.925293     0.434955   0.192678             -9.356725   \n",
       "2020-02-29    11.215304    -4.332130  -6.113537             15.942029   \n",
       "2020-03-07    -2.177731    -6.862745  15.900383            -55.938697   \n",
       "2020-03-14    -1.232394     8.454313   2.079395             -3.017241   \n",
       "2020-03-21     8.461003     9.984089   4.961832             -4.761905   \n",
       "2020-03-28     3.375527    24.683009  -7.339450             -2.723735   \n",
       "2020-04-04    20.580573    12.019624  40.889831             24.309392   \n",
       "2020-04-11    12.508859    30.056634  16.071429             52.968037   \n",
       "2020-04-18    24.571429    35.398614  -8.611599             40.096618   \n",
       "2020-04-25    16.718628    -2.233460  43.507973             51.898734   \n",
       "2020-05-02     5.826397   -55.357143  28.865979             15.217391   \n",
       "2020-05-09    -2.701644  -100.000000   2.459016             -5.913978   \n",
       "2020-05-16     7.943374  -100.000000  -6.108597            -56.284153   \n",
       "2020-05-23     2.529183  -100.000000   4.444444             28.712871   \n",
       "2020-05-30     6.830487  -100.000000 -14.117647             27.314815   \n",
       "2020-06-06     1.549414   -54.077061 -46.169772            -21.568627   \n",
       "2020-06-13     4.227710   -54.867675   5.855856            -17.874396   \n",
       "2020-06-20    -1.291129  -100.000000 -10.052910            -42.708333   \n",
       "\n",
       "Jurisdiction   Florida  ...  South Dakota  Tennessee      Texas       Utah  \\\n",
       "Week Ending             ...                                                  \n",
       "2020-01-04    2.993012  ...    -17.211329  -2.098467  -2.855296 -14.492754   \n",
       "2020-01-11    2.115222  ...     15.853659   5.887163   1.371062  25.000000   \n",
       "2020-01-18    0.994369  ...    -11.556604   0.264945  -1.954319  10.785953   \n",
       "2020-01-25    4.469823  ...     -1.287554   1.895323  -2.472696  -5.098039   \n",
       "2020-02-01    0.241333  ...     13.475177   3.581220  -1.119751   2.596315   \n",
       "2020-02-08    3.261849  ...    -16.313559   1.541555   3.969637 -10.341952   \n",
       "2020-02-15    0.767524  ...     22.747748  -3.859407   5.223506  22.395833   \n",
       "2020-02-22    2.016178  ...     42.344498  -1.767330   3.115822  -7.716786   \n",
       "2020-02-29    3.268899  ...      0.441501   2.613577   2.299660  -0.483481   \n",
       "2020-03-07    5.861391  ...     28.865979   7.418450   2.551925   0.793651   \n",
       "2020-03-14    3.852545  ...     -0.229358   6.063332   3.352321  16.289593   \n",
       "2020-03-21    2.118514  ...      5.582524   7.415485   7.630150  23.655914   \n",
       "2020-03-28    4.429589  ...    -22.305764   2.672928   9.651493  11.010009   \n",
       "2020-04-04    5.151169  ...    -11.421911   8.192506   8.120187  14.493997   \n",
       "2020-04-11    5.006105  ...    -11.633110   0.946372   8.621280   7.758621   \n",
       "2020-04-18    2.909306  ...    -22.794118  10.409491   7.287027   4.757930   \n",
       "2020-04-25    8.617355  ...     28.398792   0.996803  11.681109  13.809524   \n",
       "2020-05-02    0.277906  ...    -27.860697   2.741039   6.391897   8.597285   \n",
       "2020-05-09    4.269843  ...      9.725686  -2.392344   7.585029 -10.828025   \n",
       "2020-05-16    5.560087  ...    -17.322835   4.280156   6.126370   7.208029   \n",
       "2020-05-23    8.853259  ...     -6.528190   8.134156   8.350537  -1.624549   \n",
       "2020-05-30    2.672437  ...      8.308605  -0.758165   5.416487   1.023018   \n",
       "2020-06-06    6.093091  ...    -15.451895  -2.650555   6.335970  18.035883   \n",
       "2020-06-13    3.693876  ...    -31.486880   2.361417  11.657151   8.652901   \n",
       "2020-06-20   -0.988032  ...    -49.748744  -3.989050   8.781646  18.075802   \n",
       "\n",
       "Jurisdiction    Vermont   Virginia  Washington  West Virginia  Wisconsin  \\\n",
       "Week Ending                                                                \n",
       "2020-01-04    -5.017921  -4.108376   -4.313554      -0.617631  -3.510785   \n",
       "2020-01-11    -8.385093   6.986133   -2.855952       0.341103  -9.431313   \n",
       "2020-01-18    33.574007   1.978962   -0.175131      11.234705  -0.719091   \n",
       "2020-01-25    26.543210   2.391904   -0.502627       1.285190  -1.619819   \n",
       "2020-02-01   -29.878049   3.830645    4.675029      -0.229358   9.732595   \n",
       "2020-02-08    -2.280130  10.164885   -0.161962       9.326745  -3.372723   \n",
       "2020-02-15    27.862595   0.790151    1.234004       3.978300   7.778343   \n",
       "2020-02-22   -12.698413   3.221626    1.003032       7.920792  27.067015   \n",
       "2020-02-29    57.446809   0.315223    0.786855       4.207120  21.346324   \n",
       "2020-03-07   -15.954416   8.532231    6.370475       8.878808  10.711431   \n",
       "2020-03-14    56.028369   8.850752   -0.826446       0.389864   5.329311   \n",
       "2020-03-21    28.571429   5.521936    0.045475      14.780903   7.617139   \n",
       "2020-03-28   -11.864407  11.419812    8.224575       6.765984  10.230179   \n",
       "2020-04-04    28.846154   5.691855    1.838413       7.353907   7.206068   \n",
       "2020-04-11   -40.000000  18.622196    5.712166       9.606705   3.740648   \n",
       "2020-04-18    16.981132  12.482154    1.895735     -10.175439   1.507668   \n",
       "2020-04-25    28.424658  13.238625   11.546499      -2.047782  -2.367651   \n",
       "2020-05-02    -2.723735  12.136409   -1.340283       0.199734   5.111402   \n",
       "2020-05-09    45.454545   8.757929    4.316547      15.000000  -3.534414   \n",
       "2020-05-16     7.317073  11.099585   -2.571213      16.077866  -3.291621   \n",
       "2020-05-23     5.158730   5.179367    6.278880      11.436950  -0.354900   \n",
       "2020-05-30    44.897959   3.604553   -6.853904     -21.602787   4.781997   \n",
       "2020-06-06    17.307692   6.108312   -7.682292     -43.870015   4.514089   \n",
       "2020-06-13    15.969582  10.441767   -3.230112    -100.000000   3.188663   \n",
       "2020-06-20   -43.548387  -4.397906   -1.904762    -100.000000  -4.135338   \n",
       "\n",
       "Jurisdiction     Wyoming  \n",
       "Week Ending               \n",
       "2020-01-04     90.058480  \n",
       "2020-01-11    -63.483146  \n",
       "2020-01-18     83.333333  \n",
       "2020-01-25      3.896104  \n",
       "2020-02-01     -6.474820  \n",
       "2020-02-08    -41.520468  \n",
       "2020-02-15      1.351351  \n",
       "2020-02-22    -45.454545  \n",
       "2020-02-29     32.575758  \n",
       "2020-03-07    -38.709677  \n",
       "2020-03-14    -16.167665  \n",
       "2020-03-21    102.205882  \n",
       "2020-03-28    -54.248366  \n",
       "2020-04-04    140.384615  \n",
       "2020-04-11     71.875000  \n",
       "2020-04-18     18.181818  \n",
       "2020-04-25     55.339806  \n",
       "2020-05-02    -35.353535  \n",
       "2020-05-09     -2.173913  \n",
       "2020-05-16    -16.083916  \n",
       "2020-05-23      7.913669  \n",
       "2020-05-30    -49.640288  \n",
       "2020-06-06     81.818182  \n",
       "2020-06-13     26.016260  \n",
       "2020-06-20    -47.580645  \n",
       "\n",
       "[25 rows x 51 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_excess_deaths()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "dailypivot = (\n",
    "    get_daily_report_data()\n",
    "    .copy()                         # Copy from the original to save time loading the data.\n",
    "    .rename(columns={               # Rename the columns to shorter names\n",
    "        'Date':'date', \n",
    "        'Province_State':'state', \n",
    "        'Incident_Rate':'rate'\n",
    "    }) \n",
    "    [['state','date','rate']]       # Drop unnecessary columns\n",
    "    .pivot(                         # Create a pivot table from the data.\n",
    "        index='date', \n",
    "        columns='state', \n",
    "        values='rate'\n",
    "    ) \n",
    "    .drop(states_to_drop, axis=1)   # Drop unnecessary locations.\n",
    "    .diff()                         # Get the date-to-date difference.\n",
    "    .clip(0, 30)                    # Clip the data at 30 percent. Some data points are too high. \n",
    "    .replace(0, np.nan)             # Get rid of pure 0 values. We'll interpolate these.\n",
    "    .interpolate()                  # Interpolate the newly NAN values.\n",
    "    .rolling(window=7).mean()       # 7-Day Rolling Average for smoothness.\n",
    "    .dropna()                       # Drop the first few rows which are a result of the 7-Day rolling average\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1650 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "customsort = (dailypivot.apply(lambda x: x * [a*abs(a) for a in range(int(np.ceil(-len(dailypivot.index)/2)),int(np.ceil(len(dailypivot.index)/2)))]).mean() * (dailypivot**3).mean()).sort_values()\n",
    "\n",
    "with plt.style.context(\"dark_background\"):\n",
    "    fig, ax = plt.subplots(1, figsize=(10,11), dpi=150)\n",
    "    idx = [d.strftime(\"%B %d\") for d in dailypivot.index]\n",
    "    xlabels = [x if i % 4 == 3 else \"\" for i, x in enumerate(idx)]\n",
    "    \n",
    "    ax = sns.heatmap(dailypivot[customsort.index].T, cmap='coolwarm', ax=ax, xticklabels=xlabels)\n",
    "    ax.set_xticklabels(labels=xlabels, rotation=45, ha=\"right\");\n",
    "    ax.tick_params(axis='both', which='both', length=0)\n",
    "    ax.set_xlabel('')\n",
    "    ax.set_ylabel('')\n",
    "    ax.set_title('COVID-19 Confirmed Cases Per 100,000 People', size=20, pad=20)\n",
    "    ax.annotate('Source: Johns Hopkins COVID-19 Data (https://github.com/CSSEGISandData/COVID-19)', \n",
    "                    (0.5,0), (0, -45), xycoords='axes fraction', color=\"#a19a92\",\n",
    "                    textcoords='offset points', size=10, va='top', ha=\"center\")\n",
    "    ax.annotate('Custom sort factors include date of peak and overall mean.', \n",
    "                (0.5,1), (0, 15), xycoords='axes fraction', color=\"#a19a92\",\n",
    "                textcoords='offset points', size=10, va='top', ha=\"center\")\n",
    "    fig.savefig(\"covid19-incidence-case.png\", dpi=300, bbox_inches=\"tight\", pad_inches=0.5, \n",
    "                    facecolor=fig.get_facecolor())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 545,
   "metadata": {},
   "outputs": [],
   "source": [
    "dailypivot = (\n",
    "    daily_raw\n",
    "    .copy()                         # Copy from the original to save time loading the data.\n",
    "    .rename(columns={               # Rename the columns to shorter names\n",
    "        'Date':'date', \n",
    "        'Province_State':'state', \n",
    "        'Incident_Rate':'rate'\n",
    "    }) \n",
    "    [['state','date','rate']]       # Drop unnecessary columns\n",
    "    .pivot(                         # Create a pivot table from the data.\n",
    "        index='date', \n",
    "        columns='state', \n",
    "        values='rate'\n",
    "    ) \n",
    "    .drop(states_to_drop, axis=1)   # Drop unnecessary locations.\n",
    "    .diff()                         # Get the date-to-date difference.\n",
    "    .clip(0, 30)                    # Clip the data at 30 percent. Some data points are too high. \n",
    "    .replace(0, np.nan)             # Get rid of pure 0 values. We'll interpolate these.\n",
    "    .interpolate()                  # Interpolate the newly NAN values.\n",
    "    .rolling(window=7).mean()       # 7-Day Rolling Average for smoothness.\n",
    "    .dropna()                       # Drop the first few rows which are a result of the 7-Day rolling average\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Jurisdiction</th>\n",
       "      <th>Week Ending Date</th>\n",
       "      <th>State Abbreviation</th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>Cause Group</th>\n",
       "      <th>Number of Deaths</th>\n",
       "      <th>Cause Subgroup</th>\n",
       "      <th>Time Period</th>\n",
       "      <th>Suppress</th>\n",
       "      <th>Note</th>\n",
       "      <th>Average Number of Deaths in Time Period</th>\n",
       "      <th>Difference from 2015-2019 to 2020</th>\n",
       "      <th>Percent Difference from 2015-2019 to 2020</th>\n",
       "      <th>Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>2015-01-10</td>\n",
       "      <td>AL</td>\n",
       "      <td>2015</td>\n",
       "      <td>1</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>2016-01-09</td>\n",
       "      <td>AL</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>76.0</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>2017-01-07</td>\n",
       "      <td>AL</td>\n",
       "      <td>2017</td>\n",
       "      <td>1</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>96.0</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>2018-01-06</td>\n",
       "      <td>AL</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>108.0</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>2019-01-05</td>\n",
       "      <td>AL</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>115.0</td>\n",
       "      <td>Alzheimer disease and dementia</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150371</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2016-01-02</td>\n",
       "      <td>WI</td>\n",
       "      <td>2015</td>\n",
       "      <td>52</td>\n",
       "      <td>Other diseases of the respiratory system</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Respiratory diseases</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150372</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2016-12-31</td>\n",
       "      <td>WI</td>\n",
       "      <td>2016</td>\n",
       "      <td>52</td>\n",
       "      <td>Other diseases of the respiratory system</td>\n",
       "      <td>30.0</td>\n",
       "      <td>Respiratory diseases</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150373</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2017-12-30</td>\n",
       "      <td>WI</td>\n",
       "      <td>2017</td>\n",
       "      <td>52</td>\n",
       "      <td>Other diseases of the respiratory system</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Respiratory diseases</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150374</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2018-12-29</td>\n",
       "      <td>WI</td>\n",
       "      <td>2018</td>\n",
       "      <td>52</td>\n",
       "      <td>Other diseases of the respiratory system</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Respiratory diseases</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150375</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>2019-12-28</td>\n",
       "      <td>WI</td>\n",
       "      <td>2019</td>\n",
       "      <td>52</td>\n",
       "      <td>Other diseases of the respiratory system</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Respiratory diseases</td>\n",
       "      <td>2015-2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Predicted (weighted)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>146671 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Jurisdiction Week Ending Date State Abbreviation  Year  Week  \\\n",
       "0           Alabama       2015-01-10                 AL  2015     1   \n",
       "1           Alabama       2016-01-09                 AL  2016     1   \n",
       "2           Alabama       2017-01-07                 AL  2017     1   \n",
       "3           Alabama       2018-01-06                 AL  2018     1   \n",
       "4           Alabama       2019-01-05                 AL  2019     1   \n",
       "...             ...              ...                ...   ...   ...   \n",
       "150371    Wisconsin       2016-01-02                 WI  2015    52   \n",
       "150372    Wisconsin       2016-12-31                 WI  2016    52   \n",
       "150373    Wisconsin       2017-12-30                 WI  2017    52   \n",
       "150374    Wisconsin       2018-12-29                 WI  2018    52   \n",
       "150375    Wisconsin       2019-12-28                 WI  2019    52   \n",
       "\n",
       "                                     Cause Group  Number of Deaths  \\\n",
       "0                 Alzheimer disease and dementia             120.0   \n",
       "1                 Alzheimer disease and dementia              76.0   \n",
       "2                 Alzheimer disease and dementia              96.0   \n",
       "3                 Alzheimer disease and dementia             108.0   \n",
       "4                 Alzheimer disease and dementia             115.0   \n",
       "...                                          ...               ...   \n",
       "150371  Other diseases of the respiratory system              23.0   \n",
       "150372  Other diseases of the respiratory system              30.0   \n",
       "150373  Other diseases of the respiratory system              20.0   \n",
       "150374  Other diseases of the respiratory system              27.0   \n",
       "150375  Other diseases of the respiratory system              23.0   \n",
       "\n",
       "                        Cause Subgroup Time Period Suppress Note  \\\n",
       "0       Alzheimer disease and dementia   2015-2019      NaN  NaN   \n",
       "1       Alzheimer disease and dementia   2015-2019      NaN  NaN   \n",
       "2       Alzheimer disease and dementia   2015-2019      NaN  NaN   \n",
       "3       Alzheimer disease and dementia   2015-2019      NaN  NaN   \n",
       "4       Alzheimer disease and dementia   2015-2019      NaN  NaN   \n",
       "...                                ...         ...      ...  ...   \n",
       "150371            Respiratory diseases   2015-2019      NaN  NaN   \n",
       "150372            Respiratory diseases   2015-2019      NaN  NaN   \n",
       "150373            Respiratory diseases   2015-2019      NaN  NaN   \n",
       "150374            Respiratory diseases   2015-2019      NaN  NaN   \n",
       "150375            Respiratory diseases   2015-2019      NaN  NaN   \n",
       "\n",
       "        Average Number of Deaths in Time Period  \\\n",
       "0                                           103   \n",
       "1                                           103   \n",
       "2                                           103   \n",
       "3                                           103   \n",
       "4                                           103   \n",
       "...                                         ...   \n",
       "150371                                       25   \n",
       "150372                                       25   \n",
       "150373                                       25   \n",
       "150374                                       25   \n",
       "150375                                       25   \n",
       "\n",
       "        Difference from 2015-2019 to 2020  \\\n",
       "0                                     NaN   \n",
       "1                                     NaN   \n",
       "2                                     NaN   \n",
       "3                                     NaN   \n",
       "4                                     NaN   \n",
       "...                                   ...   \n",
       "150371                                NaN   \n",
       "150372                                NaN   \n",
       "150373                                NaN   \n",
       "150374                                NaN   \n",
       "150375                                NaN   \n",
       "\n",
       "        Percent Difference from 2015-2019 to 2020                  Type  \n",
       "0                                             NaN  Predicted (weighted)  \n",
       "1                                             NaN  Predicted (weighted)  \n",
       "2                                             NaN  Predicted (weighted)  \n",
       "3                                             NaN  Predicted (weighted)  \n",
       "4                                             NaN  Predicted (weighted)  \n",
       "...                                           ...                   ...  \n",
       "150371                                        NaN  Predicted (weighted)  \n",
       "150372                                        NaN  Predicted (weighted)  \n",
       "150373                                        NaN  Predicted (weighted)  \n",
       "150374                                        NaN  Predicted (weighted)  \n",
       "150375                                        NaN  Predicted (weighted)  \n",
       "\n",
       "[146671 rows x 15 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://data.cdc.gov/api/views/u6jv-9ijr/rows.csv?accessType=DOWNLOAD&bom=true&format=true%20target='\n",
    "rawdata = ( \n",
    "    pd.read_csv(url)\n",
    "    .query('Jurisdiction != \"United States\"')\n",
    ")\n",
    "rawdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>Number of Deaths</th>\n",
       "      <th>Average Number of Deaths in Time Period</th>\n",
       "      <th>Difference from 2015-2019 to 2020</th>\n",
       "      <th>Percent Difference from 2015-2019 to 2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>146671.000000</td>\n",
       "      <td>146671.000000</td>\n",
       "      <td>146654.000000</td>\n",
       "      <td>146671.000000</td>\n",
       "      <td>12796.000000</td>\n",
       "      <td>12796.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2017.271765</td>\n",
       "      <td>25.072346</td>\n",
       "      <td>80.223192</td>\n",
       "      <td>80.220187</td>\n",
       "      <td>3.164348</td>\n",
       "      <td>5.954587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.594952</td>\n",
       "      <td>15.125601</td>\n",
       "      <td>112.223332</td>\n",
       "      <td>111.842549</td>\n",
       "      <td>23.658739</td>\n",
       "      <td>27.950502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>-159.000000</td>\n",
       "      <td>-67.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>-9.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2019.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>17.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2020.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>1340.000000</td>\n",
       "      <td>1340.000000</td>\n",
       "      <td>1069.000000</td>\n",
       "      <td>534.300000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Year           Week  Number of Deaths  \\\n",
       "count  146671.000000  146671.000000     146654.000000   \n",
       "mean     2017.271765      25.072346         80.223192   \n",
       "std         1.594952      15.125601        112.223332   \n",
       "min      2015.000000       1.000000         11.000000   \n",
       "25%      2016.000000      12.000000         23.000000   \n",
       "50%      2017.000000      24.000000         43.000000   \n",
       "75%      2019.000000      38.000000         88.000000   \n",
       "max      2020.000000      52.000000       1340.000000   \n",
       "\n",
       "       Average Number of Deaths in Time Period  \\\n",
       "count                            146671.000000   \n",
       "mean                                 80.220187   \n",
       "std                                 111.842549   \n",
       "min                                  11.000000   \n",
       "25%                                  23.000000   \n",
       "50%                                  43.000000   \n",
       "75%                                  88.000000   \n",
       "max                                1340.000000   \n",
       "\n",
       "       Difference from 2015-2019 to 2020  \\\n",
       "count                       12796.000000   \n",
       "mean                            3.164348   \n",
       "std                            23.658739   \n",
       "min                          -159.000000   \n",
       "25%                            -4.000000   \n",
       "50%                             1.000000   \n",
       "75%                             8.000000   \n",
       "max                          1069.000000   \n",
       "\n",
       "       Percent Difference from 2015-2019 to 2020  \n",
       "count                               12796.000000  \n",
       "mean                                    5.954587  \n",
       "std                                    27.950502  \n",
       "min                                   -67.500000  \n",
       "25%                                    -9.500000  \n",
       "50%                                     2.800000  \n",
       "75%                                    17.300000  \n",
       "max                                   534.300000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rawdata = rawdata[rawdata['Jurisdiction'] != 'United States']\n",
    "gte2020 = rawdata[rawdata['Year'] == 2020].groupby(['Jurisdiction', 'Week'])[['Number of Deaths']].sum()\n",
    "maxweek = gte2020.reset_index()['Week'].max()\n",
    "lt2020 = rawdata[(rawdata['Year'] < 2020) & (rawdata['Week'] <= maxweek)].groupby(['Jurisdiction', 'Year', 'Week']).sum()[['Number of Deaths']].groupby(['Jurisdiction', 'Week']).mean()#.rename(columns={'Number of Deaths': 'Avg'})\n",
    "\n",
    "compareData = lt2020.copy().rename(columns={'Number of Deaths':'Average'})\n",
    "\n",
    "compareData['2020'] = gte2020['Number of Deaths']\n",
    "\n",
    "compareData = compareData.fillna(0)\n",
    "\n",
    "compareData['Difference'] = (compareData['2020'].div(compareData['Average']) * 100) - 100\n",
    "\n",
    "compareData = compareData.reset_index()\n",
    "\n",
    "pivottable = compareData.pivot(index='Week', columns='Jurisdiction', values='Difference')\n",
    "\n",
    "pivottable['Week Ending'] = pd.to_datetime(rawdata[rawdata['Year'] == 2020].groupby(['Week'])['Week Ending Date'].max())\n",
    "pivottable = pivottable.reset_index().set_index('Week Ending').drop(['Week'], axis=1)\n",
    "pivottable['New York'] = pivottable['New York'] + pivottable['New York City']\n",
    "pivottable = pivottable.drop(['New York City', 'Puerto Rico'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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