{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import datetime\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import subprocess\n",
"import requests\n",
"import json\n",
"from scipy import stats\n",
"from ipywidgets import interactive\n",
"import ipywidgets as widgets\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"datasource = 'https://github.com/CSSEGISandData/COVID-19.git'\n",
"testsource = 'https://covidtracking.com/api/states/daily'\n",
"state_populations = 'SCPRC-EST2019-18+POP-RES.csv'\n",
"state_abbreviations = 'state_abbreviations.csv'\n",
"nation = 'US'\n",
"series = 'confirmed'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/home/leon/Covid-19/COVID-19',\n",
" '/home/leon/Covid-19/COVID-19/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv']"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"covid19_dir = os.path.join(\n",
" os.environ['HOME'],\n",
" 'Covid-19',\n",
" 'COVID-19'\n",
")\n",
"ts_file = os.path.join(\n",
" covid19_dir,\n",
" 'csse_covid_19_data',\n",
" 'csse_covid_19_time_series',\n",
" # 'time_series_19-covid-{series}.csv'.format(series=series),\n",
" 'time_series_covid19_{series}_global.csv'.format(series=series.lower())\n",
")\n",
"[\n",
" covid19_dir,\n",
" ts_file\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def run(cmd):\n",
" result = subprocess.run(cmd, capture_output=True)\n",
" if result.stdout:\n",
" print('\\nStdout:\\n', \n",
" result.stdout.decode(), \n",
" '\\n')\n",
" if result.stderr:\n",
" print('\\nStderr:\\n', \n",
" result.stderr.decode(), \n",
" '\\n')\n",
" return result"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Stderr:\n",
" fatal: remote CSSEGISandData already exists.\n",
" \n",
"\n",
"\n",
"Stderr:\n",
" POST git-upload-pack (gzip 1034 to 598 bytes)\n",
"From https://github.com/CSSEGISandData/COVID-19\n",
" 63649e41..a4ccce6f master -> CSSEGISandData/master\n",
" c642bb2c..b849db17 web-data -> CSSEGISandData/web-data\n",
" \n",
"\n",
"\n",
"Stdout:\n",
" Updating 63649e41..a4ccce6f\n",
"Fast-forward\n",
" .../csse_covid_19_daily_reports/03-29-2020.csv | 3435 ++++++++++++++++++++\n",
" .../time_series_covid19_confirmed_global.csv | 508 +--\n",
" .../time_series_covid19_deaths_global.csv | 508 +--\n",
" .../time_series_covid19_recovered_global.csv | 480 +--\n",
" 4 files changed, 4183 insertions(+), 748 deletions(-)\n",
" create mode 100644 csse_covid_19_data/csse_covid_19_daily_reports/03-29-2020.csv\n",
" \n",
"\n"
]
},
{
"data": {
"text/plain": [
"[CompletedProcess(args=['git', 'remote', '-v', 'add', 'CSSEGISandData', 'https://github.com/CSSEGISandData/COVID-19.git'], returncode=128, stdout=b'', stderr=b'fatal: remote CSSEGISandData already exists.\\n'),\n",
" CompletedProcess(args=['git', 'fetch', '-v', 'CSSEGISandData'], returncode=0, stdout=b'', stderr=b'POST git-upload-pack (gzip 1034 to 598 bytes)\\nFrom https://github.com/CSSEGISandData/COVID-19\\n 63649e41..a4ccce6f master -> CSSEGISandData/master\\n c642bb2c..b849db17 web-data -> CSSEGISandData/web-data\\n'),\n",
" CompletedProcess(args=['git', 'merge', '-v', 'CSSEGISandData/master'], returncode=0, stdout=b'Updating 63649e41..a4ccce6f\\nFast-forward\\n .../csse_covid_19_daily_reports/03-29-2020.csv | 3435 ++++++++++++++++++++\\n .../time_series_covid19_confirmed_global.csv | 508 +--\\n .../time_series_covid19_deaths_global.csv | 508 +--\\n .../time_series_covid19_recovered_global.csv | 480 +--\\n 4 files changed, 4183 insertions(+), 748 deletions(-)\\n create mode 100644 csse_covid_19_data/csse_covid_19_daily_reports/03-29-2020.csv\\n', stderr=b'')]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"os.chdir(covid19_dir)\n",
"[\n",
" run(['git', 'remote','-v', 'add', 'CSSEGISandData', datasource]),\n",
" run(['git', 'fetch','-v', 'CSSEGISandData']),\n",
" run(['git', 'merge', '-v', 'CSSEGISandData/master'])\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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" ... | \n",
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\n",
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\n",
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" 17.8739 | \n",
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\n",
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\n",
" \n",
" 248 | \n",
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" 21.9162 | \n",
" 95.9560 | \n",
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" 10 | \n",
"
\n",
" \n",
" 249 | \n",
" Anguilla | \n",
" United Kingdom | \n",
" 18.2206 | \n",
" -63.0686 | \n",
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" 2 | \n",
"
\n",
" \n",
" 250 | \n",
" British Virgin Islands | \n",
" United Kingdom | \n",
" 18.4207 | \n",
" -64.6400 | \n",
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" 0 | \n",
" 0 | \n",
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" 2 | \n",
"
\n",
" \n",
" 251 | \n",
" Turks and Caicos Islands | \n",
" United Kingdom | \n",
" 21.6940 | \n",
" -71.7979 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
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"
\n",
" \n",
" 252 | \n",
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" MS Zaandam | \n",
" 0.0000 | \n",
" 0.0000 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
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\n",
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\n",
"
253 rows × 72 columns
\n",
"
"
],
"text/plain": [
" Province/State Country/Region Lat Long 1/22/20 \\\n",
"0 NaN Afghanistan 33.0000 65.0000 0 \n",
"1 NaN Albania 41.1533 20.1683 0 \n",
"2 NaN Algeria 28.0339 1.6596 0 \n",
"3 NaN Andorra 42.5063 1.5218 0 \n",
"4 NaN Angola -11.2027 17.8739 0 \n",
".. ... ... ... ... ... \n",
"248 NaN Burma 21.9162 95.9560 0 \n",
"249 Anguilla United Kingdom 18.2206 -63.0686 0 \n",
"250 British Virgin Islands United Kingdom 18.4207 -64.6400 0 \n",
"251 Turks and Caicos Islands United Kingdom 21.6940 -71.7979 0 \n",
"252 NaN MS Zaandam 0.0000 0.0000 0 \n",
"\n",
" 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ... 3/20/20 3/21/20 \\\n",
"0 0 0 0 0 0 ... 24 24 \n",
"1 0 0 0 0 0 ... 70 76 \n",
"2 0 0 0 0 0 ... 90 139 \n",
"3 0 0 0 0 0 ... 75 88 \n",
"4 0 0 0 0 0 ... 1 2 \n",
".. ... ... ... ... ... ... ... ... \n",
"248 0 0 0 0 0 ... 0 0 \n",
"249 0 0 0 0 0 ... 0 0 \n",
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"251 0 0 0 0 0 ... 0 0 \n",
"252 0 0 0 0 0 ... 0 0 \n",
"\n",
" 3/22/20 3/23/20 3/24/20 3/25/20 3/26/20 3/27/20 3/28/20 3/29/20 \n",
"0 40 40 74 84 94 110 110 120 \n",
"1 89 104 123 146 174 186 197 212 \n",
"2 201 230 264 302 367 409 454 511 \n",
"3 113 133 164 188 224 267 308 334 \n",
"4 2 3 3 3 4 4 5 7 \n",
".. ... ... ... ... ... ... ... ... \n",
"248 0 0 0 0 0 8 8 10 \n",
"249 0 0 0 0 0 0 2 2 \n",
"250 0 0 0 0 0 0 2 2 \n",
"251 0 0 0 0 0 0 4 4 \n",
"252 0 0 0 0 0 0 2 2 \n",
"\n",
"[253 rows x 72 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ts_frame = pd.read_csv(ts_file, parse_dates=True, date_parser=pd.to_datetime)\n",
"ts_frame"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['Afghanistan', 'Albania', 'Algeria', 'Andorra', 'Angola',\n",
" 'Antigua and Barbuda', 'Argentina', 'Armenia', 'Australia',\n",
" 'Austria', 'Azerbaijan', 'Bahamas', 'Bahrain', 'Bangladesh',\n",
" 'Barbados', 'Belarus', 'Belgium', 'Belize', 'Benin', 'Bhutan',\n",
" 'Bolivia', 'Bosnia and Herzegovina', 'Brazil', 'Brunei',\n",
" 'Bulgaria', 'Burkina Faso', 'Burma', 'Cabo Verde', 'Cambodia',\n",
" 'Cameroon', 'Canada', 'Central African Republic', 'Chad', 'Chile',\n",
" 'China', 'Colombia', 'Congo (Brazzaville)', 'Congo (Kinshasa)',\n",
" 'Costa Rica', \"Cote d'Ivoire\", 'Croatia', 'Cuba', 'Cyprus',\n",
" 'Czechia', 'Denmark', 'Diamond Princess', 'Djibouti', 'Dominica',\n",
" 'Dominican Republic', 'Ecuador', 'Egypt', 'El Salvador',\n",
" 'Equatorial Guinea', 'Eritrea', 'Estonia', 'Eswatini', 'Ethiopia',\n",
" 'Fiji', 'Finland', 'France', 'Gabon', 'Gambia', 'Georgia',\n",
" 'Germany', 'Ghana', 'Greece', 'Grenada', 'Guatemala', 'Guinea',\n",
" 'Guinea-Bissau', 'Guyana', 'Haiti', 'Holy See', 'Honduras',\n",
" 'Hungary', 'Iceland', 'India', 'Indonesia', 'Iran', 'Iraq',\n",
" 'Ireland', 'Israel', 'Italy', 'Jamaica', 'Japan', 'Jordan',\n",
" 'Kazakhstan', 'Kenya', 'Korea, South', 'Kosovo', 'Kuwait',\n",
" 'Kyrgyzstan', 'Laos', 'Latvia', 'Lebanon', 'Liberia', 'Libya',\n",
" 'Liechtenstein', 'Lithuania', 'Luxembourg', 'MS Zaandam',\n",
" 'Madagascar', 'Malaysia', 'Maldives', 'Mali', 'Malta',\n",
" 'Mauritania', 'Mauritius', 'Mexico', 'Moldova', 'Monaco',\n",
" 'Mongolia', 'Montenegro', 'Morocco', 'Mozambique', 'Namibia',\n",
" 'Nepal', 'Netherlands', 'New Zealand', 'Nicaragua', 'Niger',\n",
" 'Nigeria', 'North Macedonia', 'Norway', 'Oman', 'Pakistan',\n",
" 'Panama', 'Papua New Guinea', 'Paraguay', 'Peru', 'Philippines',\n",
" 'Poland', 'Portugal', 'Qatar', 'Romania', 'Russia', 'Rwanda',\n",
" 'Saint Kitts and Nevis', 'Saint Lucia',\n",
" 'Saint Vincent and the Grenadines', 'San Marino', 'Saudi Arabia',\n",
" 'Senegal', 'Serbia', 'Seychelles', 'Singapore', 'Slovakia',\n",
" 'Slovenia', 'Somalia', 'South Africa', 'Spain', 'Sri Lanka',\n",
" 'Sudan', 'Suriname', 'Sweden', 'Switzerland', 'Syria', 'Taiwan*',\n",
" 'Tanzania', 'Thailand', 'Timor-Leste', 'Togo',\n",
" 'Trinidad and Tobago', 'Tunisia', 'Turkey', 'US', 'Uganda',\n",
" 'Ukraine', 'United Arab Emirates', 'United Kingdom', 'Uruguay',\n",
" 'Uzbekistan', 'Venezuela', 'Vietnam', 'West Bank and Gaza',\n",
" 'Zambia', 'Zimbabwe'], dtype=object)"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nations = np.unique(np.array(ts_frame.loc[:,'Country/Region']))\n",
"nations"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 False\n",
"1 False\n",
"2 False\n",
"3 False\n",
"4 False\n",
" ... \n",
"248 False\n",
"249 False\n",
"250 False\n",
"251 False\n",
"252 False\n",
"Name: Country/Region, Length: 253, dtype: bool"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nationrows = ts_frame.loc[:, 'Country/Region'] == nation\n",
"nationrows"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Province/State | \n",
" Country/Region | \n",
" Lat | \n",
" Long | \n",
" 1/22/20 | \n",
" 1/23/20 | \n",
" 1/24/20 | \n",
" 1/25/20 | \n",
" 1/26/20 | \n",
" 1/27/20 | \n",
" ... | \n",
" 3/20/20 | \n",
" 3/21/20 | \n",
" 3/22/20 | \n",
" 3/23/20 | \n",
" 3/24/20 | \n",
" 3/25/20 | \n",
" 3/26/20 | \n",
" 3/27/20 | \n",
" 3/28/20 | \n",
" 3/29/20 | \n",
"
\n",
" \n",
" \n",
" \n",
" 225 | \n",
" NaN | \n",
" US | \n",
" 37.0902 | \n",
" -95.7129 | \n",
" 1 | \n",
" 1 | \n",
" 2 | \n",
" 2 | \n",
" 5 | \n",
" 5 | \n",
" ... | \n",
" 19100 | \n",
" 25489 | \n",
" 33276 | \n",
" 43847 | \n",
" 53740 | \n",
" 65778 | \n",
" 83836 | \n",
" 101657 | \n",
" 121478 | \n",
" 140886 | \n",
"
\n",
" \n",
"
\n",
"
1 rows × 72 columns
\n",
"
"
],
"text/plain": [
" Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n",
"225 NaN US 37.0902 -95.7129 1 1 \n",
"\n",
" 1/24/20 1/25/20 1/26/20 1/27/20 ... 3/20/20 3/21/20 3/22/20 \\\n",
"225 2 2 5 5 ... 19100 25489 33276 \n",
"\n",
" 3/23/20 3/24/20 3/25/20 3/26/20 3/27/20 3/28/20 3/29/20 \n",
"225 43847 53740 65778 83836 101657 121478 140886 \n",
"\n",
"[1 rows x 72 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nation_frame = ts_frame[nationrows]\n",
"nation_frame"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Province/State 0\n",
"Country/Region US\n",
"Lat 37.0902\n",
"Long -95.7129\n",
"1/22/20 1\n",
" ... \n",
"3/25/20 65778\n",
"3/26/20 83836\n",
"3/27/20 101657\n",
"3/28/20 121478\n",
"3/29/20 140886\n",
"Length: 72, dtype: object"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nation_frame.aggregate(np.sum)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[pandas.core.series.Series,\n",
" 1/22/20 1\n",
" 1/23/20 1\n",
" 1/24/20 2\n",
" 1/25/20 2\n",
" 1/26/20 5\n",
" ... \n",
" 3/25/20 65778\n",
" 3/26/20 83836\n",
" 3/27/20 101657\n",
" 3/28/20 121478\n",
" 3/29/20 140886\n",
" Length: 68, dtype: object]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"nation_series = nation_frame.agg(np.sum)[4:]\n",
"[\n",
" type(nation_series),\n",
" nation_series\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3/25/20 1.27453\n",
"3/26/20 1.21257\n",
"3/27/20 1.19498\n",
"3/28/20 1.15977\n",
"dtype: object"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.array(nation_series[-4:])/nation_series[-5:-1]"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"[pandas.core.indexes.base.Index,\n",
" Index(['1/22/20', '1/23/20', '1/24/20', '1/25/20', '1/26/20', '1/27/20',\n",
" '1/28/20', '1/29/20', '1/30/20', '1/31/20', '2/1/20', '2/2/20',\n",
" '2/3/20', '2/4/20', '2/5/20', '2/6/20', '2/7/20', '2/8/20', '2/9/20',\n",
" '2/10/20', '2/11/20', '2/12/20', '2/13/20', '2/14/20', '2/15/20',\n",
" '2/16/20', '2/17/20', '2/18/20', '2/19/20', '2/20/20', '2/21/20',\n",
" '2/22/20', '2/23/20', '2/24/20', '2/25/20', '2/26/20', '2/27/20',\n",
" '2/28/20', '2/29/20', '3/1/20', '3/2/20', '3/3/20', '3/4/20', '3/5/20',\n",
" '3/6/20', '3/7/20', '3/8/20', '3/9/20', '3/10/20', '3/11/20', '3/12/20',\n",
" '3/13/20', '3/14/20', '3/15/20', '3/16/20', '3/17/20', '3/18/20',\n",
" '3/19/20', '3/20/20', '3/21/20', '3/22/20', '3/23/20', '3/24/20',\n",
" '3/25/20', '3/26/20', '3/27/20', '3/28/20', '3/29/20'],\n",
" dtype='object'),\n",
" list,\n",
" [Timestamp('2020-01-22 00:00:00'),\n",
" Timestamp('2020-01-23 00:00:00'),\n",
" Timestamp('2020-01-24 00:00:00'),\n",
" Timestamp('2020-01-25 00:00:00'),\n",
" Timestamp('2020-01-26 00:00:00'),\n",
" Timestamp('2020-01-27 00:00:00'),\n",
" Timestamp('2020-01-28 00:00:00'),\n",
" Timestamp('2020-01-29 00:00:00'),\n",
" Timestamp('2020-01-30 00:00:00'),\n",
" Timestamp('2020-01-31 00:00:00'),\n",
" Timestamp('2020-02-01 00:00:00'),\n",
" Timestamp('2020-02-02 00:00:00'),\n",
" Timestamp('2020-02-03 00:00:00'),\n",
" Timestamp('2020-02-04 00:00:00'),\n",
" Timestamp('2020-02-05 00:00:00'),\n",
" Timestamp('2020-02-06 00:00:00'),\n",
" Timestamp('2020-02-07 00:00:00'),\n",
" Timestamp('2020-02-08 00:00:00'),\n",
" Timestamp('2020-02-09 00:00:00'),\n",
" Timestamp('2020-02-10 00:00:00'),\n",
" Timestamp('2020-02-11 00:00:00'),\n",
" Timestamp('2020-02-12 00:00:00'),\n",
" Timestamp('2020-02-13 00:00:00'),\n",
" Timestamp('2020-02-14 00:00:00'),\n",
" Timestamp('2020-02-15 00:00:00'),\n",
" Timestamp('2020-02-16 00:00:00'),\n",
" Timestamp('2020-02-17 00:00:00'),\n",
" Timestamp('2020-02-18 00:00:00'),\n",
" Timestamp('2020-02-19 00:00:00'),\n",
" Timestamp('2020-02-20 00:00:00'),\n",
" Timestamp('2020-02-21 00:00:00'),\n",
" Timestamp('2020-02-22 00:00:00'),\n",
" Timestamp('2020-02-23 00:00:00'),\n",
" Timestamp('2020-02-24 00:00:00'),\n",
" Timestamp('2020-02-25 00:00:00'),\n",
" Timestamp('2020-02-26 00:00:00'),\n",
" Timestamp('2020-02-27 00:00:00'),\n",
" Timestamp('2020-02-28 00:00:00'),\n",
" Timestamp('2020-02-29 00:00:00'),\n",
" Timestamp('2020-03-01 00:00:00'),\n",
" Timestamp('2020-03-02 00:00:00'),\n",
" Timestamp('2020-03-03 00:00:00'),\n",
" Timestamp('2020-03-04 00:00:00'),\n",
" Timestamp('2020-03-05 00:00:00'),\n",
" Timestamp('2020-03-06 00:00:00'),\n",
" Timestamp('2020-03-07 00:00:00'),\n",
" Timestamp('2020-03-08 00:00:00'),\n",
" Timestamp('2020-03-09 00:00:00'),\n",
" Timestamp('2020-03-10 00:00:00'),\n",
" Timestamp('2020-03-11 00:00:00'),\n",
" Timestamp('2020-03-12 00:00:00'),\n",
" Timestamp('2020-03-13 00:00:00'),\n",
" Timestamp('2020-03-14 00:00:00'),\n",
" Timestamp('2020-03-15 00:00:00'),\n",
" Timestamp('2020-03-16 00:00:00'),\n",
" Timestamp('2020-03-17 00:00:00'),\n",
" Timestamp('2020-03-18 00:00:00'),\n",
" Timestamp('2020-03-19 00:00:00'),\n",
" Timestamp('2020-03-20 00:00:00'),\n",
" Timestamp('2020-03-21 00:00:00'),\n",
" Timestamp('2020-03-22 00:00:00'),\n",
" Timestamp('2020-03-23 00:00:00'),\n",
" Timestamp('2020-03-24 00:00:00'),\n",
" Timestamp('2020-03-25 00:00:00'),\n",
" Timestamp('2020-03-26 00:00:00'),\n",
" Timestamp('2020-03-27 00:00:00'),\n",
" Timestamp('2020-03-28 00:00:00'),\n",
" Timestamp('2020-03-29 00:00:00')],\n",
" array([1, 1, 2, 2, 5, 5, 5, 5, 5, 7, 8, 8, 11, 11, 11, 11, 11, 11, 11, 11,\n",
" 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 15, 15, 15, 51, 51, 57, 58,\n",
" 60, 68, 74, 98, 118, 149, 217, 262, 402, 518, 583, 959, 1281, 1663,\n",
" 2179, 2727, 3499, 4632, 6421, 7783, 13677, 19100, 25489, 33276,\n",
" 43847, 53740, 65778, 83836, 101657, 121478, 140886], dtype=object),\n",
" '3/29/20']"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"strdates = nation_series.keys()\n",
"dates = [pd.to_datetime(sd) for sd in strdates]\n",
"[\n",
" type(strdates),\n",
" strdates,\n",
" type(dates),\n",
" dates,\n",
" np.array(nation_series[:]),\n",
" strdates[-1]\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"nations_widget = widgets.Dropdown(\n",
" options = nations,\n",
" value = nation,\n",
" description = \"Nation: \"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['confirmed', 'deaths', 'recovered'])"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Load series into a dict of pandas dataframes\n",
"# series_options = ['Confirmed','Deaths','Recovered']\n",
"series_options = ['confirmed','deaths', 'recovered']\n",
"#series_options = [re.match(r'time_series_19-covid-(.*).csv',file)[1] for file in os.listdir(os.path.join(\n",
"# covid19_dir,\n",
"# 'csse_covid_19_data',\n",
"# 'csse_covid_19_time_series'))\n",
"# if re.match(r'time_series_19-covid-(.*).csv',file)\n",
"#]\n",
"series_frames = dict();\n",
"for series_to_read in series_options:\n",
" ts_file = os.path.join(\n",
" covid19_dir,\n",
" 'csse_covid_19_data',\n",
" 'csse_covid_19_time_series',\n",
" f'time_series_covid19_{series_to_read}_global.csv' \n",
" )\n",
" series_frames[series_to_read] = pd.read_csv(ts_file, parse_dates=True, date_parser=pd.to_datetime)\n",
" \n",
"series_frames.keys()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"nation_series_cache = dict()\n",
"def get_nation_series(nation,series):\n",
" if nation in nation_series_cache and series in nation_series_cache[nation]:\n",
" nation_series = nation_series_cache[nation][series]\n",
" else:\n",
" ts_frame = series_frames[series]\n",
" nationrows = ts_frame.loc[:, 'Country/Region'] == nation\n",
" nation_frame = ts_frame[nationrows]\n",
" nation_series = nation_frame.agg(np.sum)[4:]\n",
" if nation not in nation_series_cache:\n",
" nation_series_cache[nation] = dict()\n",
" nation_series_cache[nation][series] = nation_series\n",
"\n",
" strdates = nation_series.keys()\n",
" dates = [pd.to_datetime(sd) for sd in strdates]\n",
"\n",
" return (nation_series,dates)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['confirmed', 'deaths', 'recovered'])"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"series_frames.keys()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"def plot_single_series(nation,series):\n",
" nation_series, dates = get_nation_series(nation,series)\n",
" nation_series.plot(\n",
" x=dates,\n",
" logy=True, \n",
" title='Cumulative {series}: {nation}'.format(series=series, nation=nation),\n",
" grid=True,\n",
" figsize=(12,8)\n",
" )\n",
" plt.grid(True)\n",
" plt.ylabel(series)\n",
" plt.xlabel('Date')\n",
" plt.legend([series])\n",
"\n",
"# Plot all the series\n",
"def plot_all_series(nation, series_options=series_options):\n",
" for series in series_frames.keys():\n",
" plot_single_series(nation,series)\n",
" plt.ylabel('Cases')\n",
" plt.legend(series_options)\n",
" plt.title(f'Cumulative: {nation}')\n",
"\n",
"plt.figure()\n",
"plot_single_series(nation,series)\n",
"\n",
"plt.figure()\n",
"plot_all_series(nation)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "690f3f4d0f884d2f8b0cc2987b7702b9",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(Dropdown(description='Nation: ', index=165, options=('Afghanistan', 'Albania', 'Algeria'…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"interactive(plot_single_series,nation=nations_widget,series=series_options)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "5fe6fea17f1b4e76856ebfb69be6512d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(Dropdown(description='Nation: ', index=165, options=('Afghanistan', 'Albania', 'Algeria'…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"def do_linear_regression(nation,series,n_points,days_back):\n",
" nation_series, dates = get_nation_series(nation,series)\n",
" days = np.arange(0,nation_series.shape[0])\n",
" y = np.log10(np.float64(nation_series+1))\n",
" if days_back >= 0:\n",
" s = slice(-n_points,None)\n",
" else:\n",
" s = slice(-n_points+days_back,days_back)\n",
" lr = stats.linregress(days[s],y[s])\n",
" \n",
" fig = plt.figure(figsize=(12,8))\n",
" plt.plot(days,y)\n",
" line = lr.slope*days[s]+lr.intercept\n",
" plt.plot(days[s],line)\n",
" plt.grid(True)\n",
"\n",
" plt.xlabel('Days')\n",
" plt.ylabel('log10(Cases+1)')\n",
"\n",
" str = f\"\"\"Slope: {lr.slope:.3f}\n",
"Doubling time: {np.inf if lr.slope==0 else np.log10(2)/lr.slope:.3f} days\n",
"Daily increase: {(np.exp(lr.slope)-1)*100:2.0f}%\"\"\"\n",
"\n",
" plt.text(days[s][0]-25,line[0],str)\n",
"\n",
" return lr\n",
" \n",
"interactive(do_linear_regression,\n",
" nation=nations_widget,\n",
" series=series_options,\n",
" n_points=widgets.IntSlider(value=4,min=2,max=nation_series.shape[0]),\n",
" days_back=widgets.IntSlider(value=0,min=-nation_series.shape[0],max=0)\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"testresponse = requests.get(testsource)\n",
"testresponse"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[{'date': 20200329,\n",
" 'state': 'AK',\n",
" 'positive': 102,\n",
" 'negative': 3232,\n",
" 'pending': None,\n",
" 'hospitalized': 6,\n",
" 'death': 2,\n",
" 'total': 3334,\n",
" 'hash': 'd4c0789e67f59e98176a9ea96200ed348161c6d4',\n",
" 'dateChecked': '2020-03-29T20:00:00Z',\n",
" 'totalTestResults': 3334,\n",
" 'fips': '02',\n",
" 'deathIncrease': 0,\n",
" 'hospitalizedIncrease': 1,\n",
" 'negativeIncrease': 396,\n",
" 'positiveIncrease': 17,\n",
" 'totalTestResultsIncrease': 413},\n",
" {'date': 20200329,\n",
" 'state': 'AL',\n",
" 'positive': 806,\n",
" 'negative': 4184,\n",
" 'pending': None,\n",
" 'hospitalized': None,\n",
" 'death': 4,\n",
" 'total': 4990,\n",
" 'hash': '9dbf0b598d35897b1f6857899d0a834990f4ec51',\n",
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" 'totalTestResultsIncrease': 88},\n",
" {'date': 20200311,\n",
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" {'date': 20200311,\n",
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" 'hash': '2d1b51f7430eddabf27c1ef8adc576e701ca1efb',\n",
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" date state positive negative pending hospitalized death total \\\n",
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"4 20200329 AZ 919.0 12953.0 NaN 78.0 17.0 13872 \n",
"... ... ... ... ... ... ... ... ... \n",
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"1315 20200304 WA 39.0 NaN NaN NaN NaN 39 \n",
"1316 20200304 WI 1.0 19.0 6.0 NaN NaN 26 \n",
"\n",
" hash dateChecked \\\n",
"0 d4c0789e67f59e98176a9ea96200ed348161c6d4 2020-03-29 20:00:00+00:00 \n",
"1 9dbf0b598d35897b1f6857899d0a834990f4ec51 2020-03-29 20:00:00+00:00 \n",
"2 2c8ed5059d37cc0aa0d20f4f3066a64db930c6c5 2020-03-29 20:00:00+00:00 \n",
"3 f2050b47409f64a09bb4e959284c05d25eca8832 2020-03-29 20:00:00+00:00 \n",
"4 14deca609d3762fb4b92807785e2b9c7015661e6 2020-03-29 20:00:00+00:00 \n",
"... ... ... \n",
"1312 5b37d7f2e6aa9fb39e09270626674b16ce9b5182 2020-03-04 21:00:00+00:00 \n",
"1313 992c7ca6f8259ac7a323c0b92c27123c671f3773 2020-03-04 21:00:00+00:00 \n",
"1314 7be175c20e3c9485c14f9764bd90385842df19c3 2020-03-04 21:00:00+00:00 \n",
"1315 36ea36bcf282dcc480c83b6f2561810b009bc951 2020-03-04 21:00:00+00:00 \n",
"1316 0f8cc0d051348c50905a5d5b43ba3c5e23897523 2020-03-04 21:00:00+00:00 \n",
"\n",
" totalTestResults fips deathIncrease hospitalizedIncrease \\\n",
"0 3334 02 0.0 1.0 \n",
"1 4990 01 1.0 0.0 \n",
"2 3453 05 1.0 0.0 \n",
"3 0 60 0.0 0.0 \n",
"4 13872 04 2.0 78.0 \n",
"... ... ... ... ... \n",
"1312 32 41 NaN NaN \n",
"1313 5 45 NaN NaN \n",
"1314 1 48 NaN NaN \n",
"1315 39 53 NaN NaN \n",
"1316 20 55 NaN NaN \n",
"\n",
" negativeIncrease positiveIncrease totalTestResultsIncrease \n",
"0 396.0 17.0 413.0 \n",
"1 0.0 110.0 110.0 \n",
"2 89.0 22.0 111.0 \n",
"3 0.0 0.0 0.0 \n",
"4 5498.0 46.0 5544.0 \n",
"... ... ... ... \n",
"1312 NaN NaN NaN \n",
"1313 NaN NaN NaN \n",
"1314 NaN NaN NaN \n",
"1315 NaN NaN NaN \n",
"1316 NaN NaN NaN \n",
"\n",
"[1317 rows x 17 columns]"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tests['dateChecked'] = pd.to_datetime(tests['dateChecked'])\n",
"tests"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
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" 1418.0 | \n",
"
\n",
" \n",
" 31 | \n",
" 20200329 | \n",
" ND | \n",
" 98.0 | \n",
" 3355.0 | \n",
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" 17.0 | \n",
" 1.0 | \n",
" 3453 | \n",
" 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3453 | \n",
" 38 | \n",
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" 546.0 | \n",
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\n",
" \n",
" 32 | \n",
" 20200329 | \n",
" NE | \n",
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" 2020-03-29 20:00:00+00:00 | \n",
" 2076 | \n",
" 31 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 64.0 | \n",
" 12.0 | \n",
" 76.0 | \n",
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\n",
" \n",
" 33 | \n",
" 20200329 | \n",
" NH | \n",
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" 5023 | \n",
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" 33 | \n",
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\n",
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" 34 | \n",
" 20200329 | \n",
" NJ | \n",
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" 161.0 | \n",
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" 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 35602 | \n",
" 34 | \n",
" 21.0 | \n",
" 0.0 | \n",
" 2830.0 | \n",
" 2262.0 | \n",
" 5092.0 | \n",
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\n",
" \n",
" 35 | \n",
" 20200329 | \n",
" NM | \n",
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" 2020-03-29 20:00:00+00:00 | \n",
" 11006 | \n",
" 35 | \n",
" 1.0 | \n",
" 2.0 | \n",
" 1573.0 | \n",
" 46.0 | \n",
" 1619.0 | \n",
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\n",
" \n",
" 36 | \n",
" 20200329 | \n",
" NV | \n",
" 738.0 | \n",
" 8412.0 | \n",
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" NaN | \n",
" 14.0 | \n",
" 9150 | \n",
" d0408e54d643518f6c0b61bd367061c20ea69327 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 9150 | \n",
" 32 | \n",
" 4.0 | \n",
" 0.0 | \n",
" 511.0 | \n",
" 117.0 | \n",
" 628.0 | \n",
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\n",
" \n",
" 37 | \n",
" 20200329 | \n",
" NY | \n",
" 59513.0 | \n",
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" 12075.0 | \n",
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" 172360 | \n",
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" 2020-03-29 20:00:00+00:00 | \n",
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" 36 | \n",
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\n",
" \n",
" 38 | \n",
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" OH | \n",
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\n",
" \n",
" 39 | \n",
" 20200329 | \n",
" OK | \n",
" 429.0 | \n",
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" 43ef7985bd9555698d09d6a950875ade320286df | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1634 | \n",
" 40 | \n",
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\n",
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" 69.0 | \n",
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\n",
" \n",
" 41 | \n",
" 20200329 | \n",
" PA | \n",
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" 682.0 | \n",
" 38.0 | \n",
" 33455 | \n",
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" 2020-03-29 20:00:00+00:00 | \n",
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" 42 | \n",
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\n",
" \n",
" 42 | \n",
" 20200329 | \n",
" PR | \n",
" 127.0 | \n",
" 841.0 | \n",
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" 5b8d867a604216d7e456141b6f80f93183e22f2c | \n",
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\n",
" \n",
" 43 | \n",
" 20200329 | \n",
" RI | \n",
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" a4d42dba093e9b91662dc7547081bffbecd06bef | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2835 | \n",
" 44 | \n",
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" 326.0 | \n",
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\n",
" \n",
" 44 | \n",
" 20200329 | \n",
" SC | \n",
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" 129.0 | \n",
" 16.0 | \n",
" 3789 | \n",
" b85a9aaa3da2d62f633714b4d08f409109f52bb4 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3789 | \n",
" 45 | \n",
" 3.0 | \n",
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" 607.0 | \n",
" 235.0 | \n",
" 842.0 | \n",
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\n",
" \n",
" 45 | \n",
" 20200329 | \n",
" SD | \n",
" 90.0 | \n",
" 3127.0 | \n",
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" 3218 | \n",
" 2ecdd93c12093321637eb882b51f779ef2269d3a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
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" 46 | \n",
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" 535.0 | \n",
" 22.0 | \n",
" 557.0 | \n",
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\n",
" \n",
" 46 | \n",
" 20200329 | \n",
" TN | \n",
" 1537.0 | \n",
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" 133.0 | \n",
" 7.0 | \n",
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" c928e23a1549ab46b5a78ea8b86ea8fa727ca05f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20574 | \n",
" 47 | \n",
" 1.0 | \n",
" 15.0 | \n",
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" 164.0 | \n",
" 2236.0 | \n",
"
\n",
" \n",
" 47 | \n",
" 20200329 | \n",
" TX | \n",
" 2552.0 | \n",
" 23208.0 | \n",
" NaN | \n",
" NaN | \n",
" 34.0 | \n",
" 25760 | \n",
" 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
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" 48 | \n",
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\n",
" \n",
" 48 | \n",
" 20200329 | \n",
" UT | \n",
" 719.0 | \n",
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" 2.0 | \n",
" 13993 | \n",
" 7da47dee17adc7161be7aeefa3d507b3bc735edf | \n",
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" 49 | \n",
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" 117.0 | \n",
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"
\n",
" \n",
" 49 | \n",
" 20200329 | \n",
" VA | \n",
" 890.0 | \n",
" 9719.0 | \n",
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" 112.0 | \n",
" 22.0 | \n",
" 10609 | \n",
" 66ebeae58d1a5e123904bd7f39d840dbe24449c2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 10609 | \n",
" 51 | \n",
" 5.0 | \n",
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" 151.0 | \n",
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"
\n",
" \n",
" 50 | \n",
" 20200329 | \n",
" VI | \n",
" 23.0 | \n",
" 123.0 | \n",
" 37.0 | \n",
" NaN | \n",
" NaN | \n",
" 183 | \n",
" 15a59f27f2acd69bd9c1e95a02de01c044339d2f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 146 | \n",
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" 17.0 | \n",
" 1.0 | \n",
" 18.0 | \n",
"
\n",
" \n",
" 51 | \n",
" 20200329 | \n",
" VT | \n",
" 235.0 | \n",
" 3466.0 | \n",
" NaN | \n",
" 18.0 | \n",
" 12.0 | \n",
" 3701 | \n",
" 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3701 | \n",
" 50 | \n",
" 0.0 | \n",
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" 1303.0 | \n",
" 24.0 | \n",
" 1327.0 | \n",
"
\n",
" \n",
" 52 | \n",
" 20200329 | \n",
" WA | \n",
" 4310.0 | \n",
" 54896.0 | \n",
" NaN | \n",
" 254.0 | \n",
" 189.0 | \n",
" 59206 | \n",
" 02bb082a97f1ddda79562a855dd090e632e2e5e9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 59206 | \n",
" 53 | \n",
" 14.0 | \n",
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" 5881.0 | \n",
" 587.0 | \n",
" 6468.0 | \n",
"
\n",
" \n",
" 53 | \n",
" 20200329 | \n",
" WI | \n",
" 1112.0 | \n",
" 16550.0 | \n",
" NaN | \n",
" NaN | \n",
" 13.0 | \n",
" 17662 | \n",
" 2cd5d65e6cf10a667f00fe96ffd78eb850713129 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17662 | \n",
" 55 | \n",
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" 123.0 | \n",
" 1441.0 | \n",
"
\n",
" \n",
" 54 | \n",
" 20200329 | \n",
" WV | \n",
" 113.0 | \n",
" 2705.0 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 2818 | \n",
" 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2818 | \n",
" 54 | \n",
" 0.0 | \n",
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" 374.0 | \n",
" 17.0 | \n",
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"
\n",
" \n",
" 55 | \n",
" 20200329 | \n",
" WY | \n",
" 86.0 | \n",
" 1554.0 | \n",
" NaN | \n",
" 15.0 | \n",
" 0.0 | \n",
" 1640 | \n",
" e6365afc2c29afd4168c8d82cd57312427281140 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1640 | \n",
" 56 | \n",
" 0.0 | \n",
" 1.0 | \n",
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" 4.0 | \n",
" 83.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" date state positive negative pending hospitalized death total \\\n",
"0 20200329 AK 102.0 3232.0 NaN 6.0 2.0 3334 \n",
"1 20200329 AL 806.0 4184.0 NaN NaN 4.0 4990 \n",
"2 20200329 AR 426.0 3027.0 NaN 48.0 6.0 3453 \n",
"3 20200329 AS NaN NaN NaN NaN 0.0 0 \n",
"4 20200329 AZ 919.0 12953.0 NaN 78.0 17.0 13872 \n",
"5 20200329 CA 5708.0 20549.0 64400.0 1034.0 123.0 90657 \n",
"6 20200329 CO 2061.0 11215.0 NaN 274.0 44.0 13276 \n",
"7 20200329 CT 1993.0 9907.0 NaN 404.0 34.0 11900 \n",
"8 20200329 DC 342.0 2469.0 1.0 NaN 5.0 2812 \n",
"9 20200329 DE 232.0 36.0 NaN 33.0 6.0 268 \n",
"10 20200329 FL 4246.0 39070.0 NaN 594.0 56.0 43316 \n",
"11 20200329 GA 2651.0 9913.0 NaN 666.0 80.0 12564 \n",
"12 20200329 GU 56.0 334.0 NaN 15.0 1.0 390 \n",
"13 20200329 HI 151.0 6849.0 4.0 12.0 0.0 7004 \n",
"14 20200329 IA 336.0 5013.0 NaN 68.0 4.0 5349 \n",
"15 20200329 ID 261.0 4021.0 NaN 36.0 5.0 4282 \n",
"16 20200329 IL 4596.0 23166.0 NaN NaN 65.0 27762 \n",
"17 20200329 IN 1514.0 8316.0 NaN NaN 32.0 9830 \n",
"18 20200329 KS 319.0 4194.0 NaN 55.0 6.0 4513 \n",
"19 20200329 KY 394.0 5147.0 NaN NaN 9.0 5541 \n",
"20 20200329 LA 3540.0 24331.0 NaN 1127.0 151.0 27871 \n",
"21 20200329 MA 4955.0 34111.0 NaN 399.0 48.0 39066 \n",
"22 20200329 MD 1239.0 12354.0 NaN 277.0 10.0 13593 \n",
"23 20200329 ME 253.0 3394.0 NaN NaN 3.0 3647 \n",
"24 20200329 MI 5486.0 11893.0 NaN NaN 132.0 17379 \n",
"25 20200329 MN 503.0 17154.0 NaN 75.0 9.0 17657 \n",
"26 20200329 MO 838.0 11547.0 NaN NaN 10.0 12385 \n",
"27 20200329 MP 2.0 NaN NaN NaN NaN 2 \n",
"28 20200329 MS 758.0 2560.0 NaN 235.0 14.0 3318 \n",
"29 20200329 MT 154.0 4143.0 NaN 8.0 1.0 4297 \n",
"30 20200329 NC 1040.0 17905.0 NaN 91.0 4.0 18945 \n",
"31 20200329 ND 98.0 3355.0 NaN 17.0 1.0 3453 \n",
"32 20200329 NE 108.0 1968.0 4.0 NaN 2.0 2080 \n",
"33 20200329 NH 214.0 4524.0 285.0 33.0 2.0 5023 \n",
"34 20200329 NJ 13386.0 22216.0 NaN NaN 161.0 35602 \n",
"35 20200329 NM 237.0 10769.0 NaN 19.0 2.0 11006 \n",
"36 20200329 NV 738.0 8412.0 NaN NaN 14.0 9150 \n",
"37 20200329 NY 59513.0 112847.0 NaN 12075.0 965.0 172360 \n",
"38 20200329 OH 1653.0 19012.0 NaN 403.0 29.0 20665 \n",
"39 20200329 OK 429.0 1205.0 NaN 140.0 16.0 1634 \n",
"40 20200329 OR 548.0 10878.0 NaN 129.0 13.0 11426 \n",
"41 20200329 PA 3394.0 30061.0 NaN 682.0 38.0 33455 \n",
"42 20200329 PR 127.0 841.0 817.0 NaN 5.0 1785 \n",
"43 20200329 RI 294.0 2541.0 NaN 35.0 3.0 2835 \n",
"44 20200329 SC 774.0 3015.0 NaN 129.0 16.0 3789 \n",
"45 20200329 SD 90.0 3127.0 1.0 NaN 1.0 3218 \n",
"46 20200329 TN 1537.0 19037.0 NaN 133.0 7.0 20574 \n",
"47 20200329 TX 2552.0 23208.0 NaN NaN 34.0 25760 \n",
"48 20200329 UT 719.0 13274.0 NaN NaN 2.0 13993 \n",
"49 20200329 VA 890.0 9719.0 NaN 112.0 22.0 10609 \n",
"50 20200329 VI 23.0 123.0 37.0 NaN NaN 183 \n",
"51 20200329 VT 235.0 3466.0 NaN 18.0 12.0 3701 \n",
"52 20200329 WA 4310.0 54896.0 NaN 254.0 189.0 59206 \n",
"53 20200329 WI 1112.0 16550.0 NaN NaN 13.0 17662 \n",
"54 20200329 WV 113.0 2705.0 0.0 1.0 0.0 2818 \n",
"55 20200329 WY 86.0 1554.0 NaN 15.0 0.0 1640 \n",
"\n",
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"35 c76b9199e33fb36ea9e9509cce54c2ad94146dfd 2020-03-29 20:00:00+00:00 \n",
"36 d0408e54d643518f6c0b61bd367061c20ea69327 2020-03-29 20:00:00+00:00 \n",
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"38 bf97498f0e2f4741137db5392baa1abf5648979f 2020-03-29 20:00:00+00:00 \n",
"39 43ef7985bd9555698d09d6a950875ade320286df 2020-03-29 20:00:00+00:00 \n",
"40 ec860456b55d5a18391c8cbf2748ea02bf908fd2 2020-03-29 20:00:00+00:00 \n",
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"42 5b8d867a604216d7e456141b6f80f93183e22f2c 2020-03-29 20:00:00+00:00 \n",
"43 a4d42dba093e9b91662dc7547081bffbecd06bef 2020-03-29 20:00:00+00:00 \n",
"44 b85a9aaa3da2d62f633714b4d08f409109f52bb4 2020-03-29 20:00:00+00:00 \n",
"45 2ecdd93c12093321637eb882b51f779ef2269d3a 2020-03-29 20:00:00+00:00 \n",
"46 c928e23a1549ab46b5a78ea8b86ea8fa727ca05f 2020-03-29 20:00:00+00:00 \n",
"47 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a 2020-03-29 20:00:00+00:00 \n",
"48 7da47dee17adc7161be7aeefa3d507b3bc735edf 2020-03-29 20:00:00+00:00 \n",
"49 66ebeae58d1a5e123904bd7f39d840dbe24449c2 2020-03-29 20:00:00+00:00 \n",
"50 15a59f27f2acd69bd9c1e95a02de01c044339d2f 2020-03-29 20:00:00+00:00 \n",
"51 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e 2020-03-29 20:00:00+00:00 \n",
"52 02bb082a97f1ddda79562a855dd090e632e2e5e9 2020-03-29 20:00:00+00:00 \n",
"53 2cd5d65e6cf10a667f00fe96ffd78eb850713129 2020-03-29 20:00:00+00:00 \n",
"54 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c 2020-03-29 20:00:00+00:00 \n",
"55 e6365afc2c29afd4168c8d82cd57312427281140 2020-03-29 20:00:00+00:00 \n",
"\n",
" totalTestResults fips deathIncrease hospitalizedIncrease \\\n",
"0 3334 02 0.0 1.0 \n",
"1 4990 01 1.0 0.0 \n",
"2 3453 05 1.0 0.0 \n",
"3 0 60 0.0 0.0 \n",
"4 13872 04 2.0 78.0 \n",
"5 26257 06 22.0 0.0 \n",
"6 13276 08 13.0 35.0 \n",
"7 11900 09 7.0 231.0 \n",
"8 2811 11 1.0 0.0 \n",
"9 268 10 3.0 2.0 \n",
"10 43316 12 2.0 68.0 \n",
"11 12564 13 11.0 49.0 \n",
"12 390 66 0.0 0.0 \n",
"13 7000 15 0.0 4.0 \n",
"14 5349 19 1.0 7.0 \n",
"15 4282 16 1.0 11.0 \n",
"16 27762 17 18.0 0.0 \n",
"17 9830 18 1.0 0.0 \n",
"18 4513 20 1.0 28.0 \n",
"19 5541 21 1.0 0.0 \n",
"20 27871 22 14.0 200.0 \n",
"21 39066 25 4.0 49.0 \n",
"22 13593 24 5.0 51.0 \n",
"23 3647 23 2.0 0.0 \n",
"24 17379 26 40.0 0.0 \n",
"25 17657 27 4.0 18.0 \n",
"26 12385 29 0.0 0.0 \n",
"27 2 69 0.0 0.0 \n",
"28 3318 28 1.0 16.0 \n",
"29 4297 30 0.0 1.0 \n",
"30 18945 37 0.0 4.0 \n",
"31 3453 38 0.0 1.0 \n",
"32 2076 31 0.0 0.0 \n",
"33 4738 33 0.0 3.0 \n",
"34 35602 34 21.0 0.0 \n",
"35 11006 35 1.0 2.0 \n",
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"37 172360 36 237.0 2021.0 \n",
"38 20665 39 4.0 59.0 \n",
"39 1634 40 1.0 14.0 \n",
"40 11426 41 0.0 12.0 \n",
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"53 17662 55 0.0 0.0 \n",
"54 2818 54 0.0 0.0 \n",
"55 1640 56 0.0 1.0 \n",
"\n",
" negativeIncrease positiveIncrease totalTestResultsIncrease \n",
"0 396.0 17.0 413.0 \n",
"1 0.0 110.0 110.0 \n",
"2 89.0 22.0 111.0 \n",
"3 0.0 0.0 0.0 \n",
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"9 0.0 18.0 18.0 \n",
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"11 1228.0 285.0 1513.0 \n",
"12 35.0 1.0 36.0 \n",
"13 2492.0 31.0 2523.0 \n",
"14 638.0 38.0 676.0 \n",
"15 679.0 31.0 710.0 \n",
"16 1166.0 1105.0 2271.0 \n",
"17 1141.0 282.0 1423.0 \n",
"18 523.0 58.0 581.0 \n",
"19 326.0 92.0 418.0 \n",
"20 2485.0 225.0 2710.0 \n",
"21 3319.0 698.0 4017.0 \n",
"22 838.0 247.0 1085.0 \n",
"23 0.0 42.0 42.0 \n",
"24 2784.0 1829.0 4613.0 \n",
"25 1466.0 62.0 1528.0 \n",
"26 1465.0 0.0 1465.0 \n",
"27 0.0 0.0 0.0 \n",
"28 0.0 95.0 95.0 \n",
"29 887.0 25.0 912.0 \n",
"30 1313.0 105.0 1418.0 \n",
"31 546.0 15.0 561.0 \n",
"32 64.0 12.0 76.0 \n",
"33 868.0 27.0 895.0 \n",
"34 2830.0 2262.0 5092.0 \n",
"35 1573.0 46.0 1619.0 \n",
"36 511.0 117.0 628.0 \n",
"37 9231.0 7195.0 16426.0 \n",
"38 0.0 247.0 247.0 \n",
"39 25.0 52.0 77.0 \n",
"40 1185.0 69.0 1254.0 \n",
"41 4807.0 643.0 5450.0 \n",
"42 102.0 27.0 129.0 \n",
"43 235.0 91.0 326.0 \n",
"44 607.0 235.0 842.0 \n",
"45 535.0 22.0 557.0 \n",
"46 2072.0 164.0 2236.0 \n",
"47 0.0 500.0 500.0 \n",
"48 2564.0 117.0 2681.0 \n",
"49 1292.0 151.0 1443.0 \n",
"50 17.0 1.0 18.0 \n",
"51 1303.0 24.0 1327.0 \n",
"52 5881.0 587.0 6468.0 \n",
"53 1318.0 123.0 1441.0 \n",
"54 374.0 17.0 391.0 \n",
"55 79.0 4.0 83.0 "
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"latest = tests.loc[tests.groupby('state').dateChecked.idxmax()]\n",
"latest"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
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" 20 | \n",
" 20200329 | \n",
" LA | \n",
" 3540.0 | \n",
" 24331.0 | \n",
" NaN | \n",
" 1127.0 | \n",
" 151.0 | \n",
" 27871 | \n",
" 38b4d0f6b224b46b63a1c01841b1d1385a2a3742 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 27871 | \n",
" 22 | \n",
" 14.0 | \n",
" 200.0 | \n",
" 2485.0 | \n",
" 225.0 | \n",
" 2710.0 | \n",
" 0.127014 | \n",
"
\n",
" \n",
" 21 | \n",
" 20200329 | \n",
" MA | \n",
" 4955.0 | \n",
" 34111.0 | \n",
" NaN | \n",
" 399.0 | \n",
" 48.0 | \n",
" 39066 | \n",
" 85320d5eb34b32da6ffe44dfb937835574a335a1 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 39066 | \n",
" 25 | \n",
" 4.0 | \n",
" 49.0 | \n",
" 3319.0 | \n",
" 698.0 | \n",
" 4017.0 | \n",
" 0.126837 | \n",
"
\n",
" \n",
" 22 | \n",
" 20200329 | \n",
" MD | \n",
" 1239.0 | \n",
" 12354.0 | \n",
" NaN | \n",
" 277.0 | \n",
" 10.0 | \n",
" 13593 | \n",
" b017ab05576951a20e7c57f1faf56b614bc443f1 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13593 | \n",
" 24 | \n",
" 5.0 | \n",
" 51.0 | \n",
" 838.0 | \n",
" 247.0 | \n",
" 1085.0 | \n",
" 0.091150 | \n",
"
\n",
" \n",
" 23 | \n",
" 20200329 | \n",
" ME | \n",
" 253.0 | \n",
" 3394.0 | \n",
" NaN | \n",
" NaN | \n",
" 3.0 | \n",
" 3647 | \n",
" 2e6f8d654325315d3ff90837e0355efb83712cdb | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3647 | \n",
" 23 | \n",
" 2.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 42.0 | \n",
" 42.0 | \n",
" 0.069372 | \n",
"
\n",
" \n",
" 24 | \n",
" 20200329 | \n",
" MI | \n",
" 5486.0 | \n",
" 11893.0 | \n",
" NaN | \n",
" NaN | \n",
" 132.0 | \n",
" 17379 | \n",
" 25fd0b3fada36382067e735f2ea785fcbb58376a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17379 | \n",
" 26 | \n",
" 40.0 | \n",
" 0.0 | \n",
" 2784.0 | \n",
" 1829.0 | \n",
" 4613.0 | \n",
" 0.315668 | \n",
"
\n",
" \n",
" 25 | \n",
" 20200329 | \n",
" MN | \n",
" 503.0 | \n",
" 17154.0 | \n",
" NaN | \n",
" 75.0 | \n",
" 9.0 | \n",
" 17657 | \n",
" a7684a9182a0b32142849036fecf82ec7701d8a3 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17657 | \n",
" 27 | \n",
" 4.0 | \n",
" 18.0 | \n",
" 1466.0 | \n",
" 62.0 | \n",
" 1528.0 | \n",
" 0.028487 | \n",
"
\n",
" \n",
" 26 | \n",
" 20200329 | \n",
" MO | \n",
" 838.0 | \n",
" 11547.0 | \n",
" NaN | \n",
" NaN | \n",
" 10.0 | \n",
" 12385 | \n",
" 228bc579fa237f56c7e55fd2dd8f9bfe9d410b20 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 12385 | \n",
" 29 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1465.0 | \n",
" 0.0 | \n",
" 1465.0 | \n",
" 0.067662 | \n",
"
\n",
" \n",
" 27 | \n",
" 20200329 | \n",
" MP | \n",
" 2.0 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" 8499fa1ff060f43b78b442e20c46c95495534385 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2 | \n",
" 69 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.000000 | \n",
"
\n",
" \n",
" 28 | \n",
" 20200329 | \n",
" MS | \n",
" 758.0 | \n",
" 2560.0 | \n",
" NaN | \n",
" 235.0 | \n",
" 14.0 | \n",
" 3318 | \n",
" daa6037b61ae96e6c2526a155139e7e732cd0368 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3318 | \n",
" 28 | \n",
" 1.0 | \n",
" 16.0 | \n",
" 0.0 | \n",
" 95.0 | \n",
" 95.0 | \n",
" 0.228451 | \n",
"
\n",
" \n",
" 29 | \n",
" 20200329 | \n",
" MT | \n",
" 154.0 | \n",
" 4143.0 | \n",
" NaN | \n",
" 8.0 | \n",
" 1.0 | \n",
" 4297 | \n",
" d071e5b6a217a1d7bc9f1020995fa9c92a50d0ee | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4297 | \n",
" 30 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 887.0 | \n",
" 25.0 | \n",
" 912.0 | \n",
" 0.035839 | \n",
"
\n",
" \n",
" 30 | \n",
" 20200329 | \n",
" NC | \n",
" 1040.0 | \n",
" 17905.0 | \n",
" NaN | \n",
" 91.0 | \n",
" 4.0 | \n",
" 18945 | \n",
" 94c103bb6dc3385d5a5f366a0913180f83223df8 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 18945 | \n",
" 37 | \n",
" 0.0 | \n",
" 4.0 | \n",
" 1313.0 | \n",
" 105.0 | \n",
" 1418.0 | \n",
" 0.054896 | \n",
"
\n",
" \n",
" 31 | \n",
" 20200329 | \n",
" ND | \n",
" 98.0 | \n",
" 3355.0 | \n",
" NaN | \n",
" 17.0 | \n",
" 1.0 | \n",
" 3453 | \n",
" 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3453 | \n",
" 38 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 546.0 | \n",
" 15.0 | \n",
" 561.0 | \n",
" 0.028381 | \n",
"
\n",
" \n",
" 32 | \n",
" 20200329 | \n",
" NE | \n",
" 108.0 | \n",
" 1968.0 | \n",
" 4.0 | \n",
" NaN | \n",
" 2.0 | \n",
" 2080 | \n",
" 44e85c9c9b448faa6a1b8a6af39c84820610bff0 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2076 | \n",
" 31 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 64.0 | \n",
" 12.0 | \n",
" 76.0 | \n",
" 0.051923 | \n",
"
\n",
" \n",
" 33 | \n",
" 20200329 | \n",
" NH | \n",
" 214.0 | \n",
" 4524.0 | \n",
" 285.0 | \n",
" 33.0 | \n",
" 2.0 | \n",
" 5023 | \n",
" 5602e725da5424f5efebbaa8e3b8ac7c71a21d53 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4738 | \n",
" 33 | \n",
" 0.0 | \n",
" 3.0 | \n",
" 868.0 | \n",
" 27.0 | \n",
" 895.0 | \n",
" 0.042604 | \n",
"
\n",
" \n",
" 34 | \n",
" 20200329 | \n",
" NJ | \n",
" 13386.0 | \n",
" 22216.0 | \n",
" NaN | \n",
" NaN | \n",
" 161.0 | \n",
" 35602 | \n",
" 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 35602 | \n",
" 34 | \n",
" 21.0 | \n",
" 0.0 | \n",
" 2830.0 | \n",
" 2262.0 | \n",
" 5092.0 | \n",
" 0.375990 | \n",
"
\n",
" \n",
" 35 | \n",
" 20200329 | \n",
" NM | \n",
" 237.0 | \n",
" 10769.0 | \n",
" NaN | \n",
" 19.0 | \n",
" 2.0 | \n",
" 11006 | \n",
" c76b9199e33fb36ea9e9509cce54c2ad94146dfd | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11006 | \n",
" 35 | \n",
" 1.0 | \n",
" 2.0 | \n",
" 1573.0 | \n",
" 46.0 | \n",
" 1619.0 | \n",
" 0.021534 | \n",
"
\n",
" \n",
" 36 | \n",
" 20200329 | \n",
" NV | \n",
" 738.0 | \n",
" 8412.0 | \n",
" NaN | \n",
" NaN | \n",
" 14.0 | \n",
" 9150 | \n",
" d0408e54d643518f6c0b61bd367061c20ea69327 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 9150 | \n",
" 32 | \n",
" 4.0 | \n",
" 0.0 | \n",
" 511.0 | \n",
" 117.0 | \n",
" 628.0 | \n",
" 0.080656 | \n",
"
\n",
" \n",
" 37 | \n",
" 20200329 | \n",
" NY | \n",
" 59513.0 | \n",
" 112847.0 | \n",
" NaN | \n",
" 12075.0 | \n",
" 965.0 | \n",
" 172360 | \n",
" ba807849425122f97cff754bfca452232a1e75ce | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 172360 | \n",
" 36 | \n",
" 237.0 | \n",
" 2021.0 | \n",
" 9231.0 | \n",
" 7195.0 | \n",
" 16426.0 | \n",
" 0.345283 | \n",
"
\n",
" \n",
" 38 | \n",
" 20200329 | \n",
" OH | \n",
" 1653.0 | \n",
" 19012.0 | \n",
" NaN | \n",
" 403.0 | \n",
" 29.0 | \n",
" 20665 | \n",
" bf97498f0e2f4741137db5392baa1abf5648979f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20665 | \n",
" 39 | \n",
" 4.0 | \n",
" 59.0 | \n",
" 0.0 | \n",
" 247.0 | \n",
" 247.0 | \n",
" 0.079990 | \n",
"
\n",
" \n",
" 39 | \n",
" 20200329 | \n",
" OK | \n",
" 429.0 | \n",
" 1205.0 | \n",
" NaN | \n",
" 140.0 | \n",
" 16.0 | \n",
" 1634 | \n",
" 43ef7985bd9555698d09d6a950875ade320286df | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1634 | \n",
" 40 | \n",
" 1.0 | \n",
" 14.0 | \n",
" 25.0 | \n",
" 52.0 | \n",
" 77.0 | \n",
" 0.262546 | \n",
"
\n",
" \n",
" 40 | \n",
" 20200329 | \n",
" OR | \n",
" 548.0 | \n",
" 10878.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 13.0 | \n",
" 11426 | \n",
" ec860456b55d5a18391c8cbf2748ea02bf908fd2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11426 | \n",
" 41 | \n",
" 0.0 | \n",
" 12.0 | \n",
" 1185.0 | \n",
" 69.0 | \n",
" 1254.0 | \n",
" 0.047961 | \n",
"
\n",
" \n",
" 41 | \n",
" 20200329 | \n",
" PA | \n",
" 3394.0 | \n",
" 30061.0 | \n",
" NaN | \n",
" 682.0 | \n",
" 38.0 | \n",
" 33455 | \n",
" ad1df7816ad6d19a996749d630bc38345291f26e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 33455 | \n",
" 42 | \n",
" 4.0 | \n",
" 0.0 | \n",
" 4807.0 | \n",
" 643.0 | \n",
" 5450.0 | \n",
" 0.101450 | \n",
"
\n",
" \n",
" 42 | \n",
" 20200329 | \n",
" PR | \n",
" 127.0 | \n",
" 841.0 | \n",
" 817.0 | \n",
" NaN | \n",
" 5.0 | \n",
" 1785 | \n",
" 5b8d867a604216d7e456141b6f80f93183e22f2c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 968 | \n",
" 72 | \n",
" 2.0 | \n",
" 0.0 | \n",
" 102.0 | \n",
" 27.0 | \n",
" 129.0 | \n",
" 0.071148 | \n",
"
\n",
" \n",
" 43 | \n",
" 20200329 | \n",
" RI | \n",
" 294.0 | \n",
" 2541.0 | \n",
" NaN | \n",
" 35.0 | \n",
" 3.0 | \n",
" 2835 | \n",
" a4d42dba093e9b91662dc7547081bffbecd06bef | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2835 | \n",
" 44 | \n",
" 3.0 | \n",
" 7.0 | \n",
" 235.0 | \n",
" 91.0 | \n",
" 326.0 | \n",
" 0.103704 | \n",
"
\n",
" \n",
" 44 | \n",
" 20200329 | \n",
" SC | \n",
" 774.0 | \n",
" 3015.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 16.0 | \n",
" 3789 | \n",
" b85a9aaa3da2d62f633714b4d08f409109f52bb4 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3789 | \n",
" 45 | \n",
" 3.0 | \n",
" 0.0 | \n",
" 607.0 | \n",
" 235.0 | \n",
" 842.0 | \n",
" 0.204276 | \n",
"
\n",
" \n",
" 45 | \n",
" 20200329 | \n",
" SD | \n",
" 90.0 | \n",
" 3127.0 | \n",
" 1.0 | \n",
" NaN | \n",
" 1.0 | \n",
" 3218 | \n",
" 2ecdd93c12093321637eb882b51f779ef2269d3a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3217 | \n",
" 46 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 535.0 | \n",
" 22.0 | \n",
" 557.0 | \n",
" 0.027968 | \n",
"
\n",
" \n",
" 46 | \n",
" 20200329 | \n",
" TN | \n",
" 1537.0 | \n",
" 19037.0 | \n",
" NaN | \n",
" 133.0 | \n",
" 7.0 | \n",
" 20574 | \n",
" c928e23a1549ab46b5a78ea8b86ea8fa727ca05f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20574 | \n",
" 47 | \n",
" 1.0 | \n",
" 15.0 | \n",
" 2072.0 | \n",
" 164.0 | \n",
" 2236.0 | \n",
" 0.074706 | \n",
"
\n",
" \n",
" 47 | \n",
" 20200329 | \n",
" TX | \n",
" 2552.0 | \n",
" 23208.0 | \n",
" NaN | \n",
" NaN | \n",
" 34.0 | \n",
" 25760 | \n",
" 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 25760 | \n",
" 48 | \n",
" 7.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 500.0 | \n",
" 500.0 | \n",
" 0.099068 | \n",
"
\n",
" \n",
" 48 | \n",
" 20200329 | \n",
" UT | \n",
" 719.0 | \n",
" 13274.0 | \n",
" NaN | \n",
" NaN | \n",
" 2.0 | \n",
" 13993 | \n",
" 7da47dee17adc7161be7aeefa3d507b3bc735edf | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13993 | \n",
" 49 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 2564.0 | \n",
" 117.0 | \n",
" 2681.0 | \n",
" 0.051383 | \n",
"
\n",
" \n",
" 49 | \n",
" 20200329 | \n",
" VA | \n",
" 890.0 | \n",
" 9719.0 | \n",
" NaN | \n",
" 112.0 | \n",
" 22.0 | \n",
" 10609 | \n",
" 66ebeae58d1a5e123904bd7f39d840dbe24449c2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 10609 | \n",
" 51 | \n",
" 5.0 | \n",
" 13.0 | \n",
" 1292.0 | \n",
" 151.0 | \n",
" 1443.0 | \n",
" 0.083891 | \n",
"
\n",
" \n",
" 50 | \n",
" 20200329 | \n",
" VI | \n",
" 23.0 | \n",
" 123.0 | \n",
" 37.0 | \n",
" NaN | \n",
" NaN | \n",
" 183 | \n",
" 15a59f27f2acd69bd9c1e95a02de01c044339d2f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 146 | \n",
" 78 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 17.0 | \n",
" 1.0 | \n",
" 18.0 | \n",
" 0.125683 | \n",
"
\n",
" \n",
" 51 | \n",
" 20200329 | \n",
" VT | \n",
" 235.0 | \n",
" 3466.0 | \n",
" NaN | \n",
" 18.0 | \n",
" 12.0 | \n",
" 3701 | \n",
" 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3701 | \n",
" 50 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1303.0 | \n",
" 24.0 | \n",
" 1327.0 | \n",
" 0.063496 | \n",
"
\n",
" \n",
" 52 | \n",
" 20200329 | \n",
" WA | \n",
" 4310.0 | \n",
" 54896.0 | \n",
" NaN | \n",
" 254.0 | \n",
" 189.0 | \n",
" 59206 | \n",
" 02bb082a97f1ddda79562a855dd090e632e2e5e9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 59206 | \n",
" 53 | \n",
" 14.0 | \n",
" 0.0 | \n",
" 5881.0 | \n",
" 587.0 | \n",
" 6468.0 | \n",
" 0.072797 | \n",
"
\n",
" \n",
" 53 | \n",
" 20200329 | \n",
" WI | \n",
" 1112.0 | \n",
" 16550.0 | \n",
" NaN | \n",
" NaN | \n",
" 13.0 | \n",
" 17662 | \n",
" 2cd5d65e6cf10a667f00fe96ffd78eb850713129 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17662 | \n",
" 55 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1318.0 | \n",
" 123.0 | \n",
" 1441.0 | \n",
" 0.062960 | \n",
"
\n",
" \n",
" 54 | \n",
" 20200329 | \n",
" WV | \n",
" 113.0 | \n",
" 2705.0 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 2818 | \n",
" 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2818 | \n",
" 54 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 374.0 | \n",
" 17.0 | \n",
" 391.0 | \n",
" 0.040099 | \n",
"
\n",
" \n",
" 55 | \n",
" 20200329 | \n",
" WY | \n",
" 86.0 | \n",
" 1554.0 | \n",
" NaN | \n",
" 15.0 | \n",
" 0.0 | \n",
" 1640 | \n",
" e6365afc2c29afd4168c8d82cd57312427281140 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1640 | \n",
" 56 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 79.0 | \n",
" 4.0 | \n",
" 83.0 | \n",
" 0.052439 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" date state positive negative pending hospitalized death total \\\n",
"0 20200329 AK 102.0 3232.0 NaN 6.0 2.0 3334 \n",
"1 20200329 AL 806.0 4184.0 NaN NaN 4.0 4990 \n",
"2 20200329 AR 426.0 3027.0 NaN 48.0 6.0 3453 \n",
"4 20200329 AZ 919.0 12953.0 NaN 78.0 17.0 13872 \n",
"5 20200329 CA 5708.0 20549.0 64400.0 1034.0 123.0 90657 \n",
"6 20200329 CO 2061.0 11215.0 NaN 274.0 44.0 13276 \n",
"7 20200329 CT 1993.0 9907.0 NaN 404.0 34.0 11900 \n",
"8 20200329 DC 342.0 2469.0 1.0 NaN 5.0 2812 \n",
"9 20200329 DE 232.0 36.0 NaN 33.0 6.0 268 \n",
"10 20200329 FL 4246.0 39070.0 NaN 594.0 56.0 43316 \n",
"11 20200329 GA 2651.0 9913.0 NaN 666.0 80.0 12564 \n",
"12 20200329 GU 56.0 334.0 NaN 15.0 1.0 390 \n",
"13 20200329 HI 151.0 6849.0 4.0 12.0 0.0 7004 \n",
"14 20200329 IA 336.0 5013.0 NaN 68.0 4.0 5349 \n",
"15 20200329 ID 261.0 4021.0 NaN 36.0 5.0 4282 \n",
"16 20200329 IL 4596.0 23166.0 NaN NaN 65.0 27762 \n",
"17 20200329 IN 1514.0 8316.0 NaN NaN 32.0 9830 \n",
"18 20200329 KS 319.0 4194.0 NaN 55.0 6.0 4513 \n",
"19 20200329 KY 394.0 5147.0 NaN NaN 9.0 5541 \n",
"20 20200329 LA 3540.0 24331.0 NaN 1127.0 151.0 27871 \n",
"21 20200329 MA 4955.0 34111.0 NaN 399.0 48.0 39066 \n",
"22 20200329 MD 1239.0 12354.0 NaN 277.0 10.0 13593 \n",
"23 20200329 ME 253.0 3394.0 NaN NaN 3.0 3647 \n",
"24 20200329 MI 5486.0 11893.0 NaN NaN 132.0 17379 \n",
"25 20200329 MN 503.0 17154.0 NaN 75.0 9.0 17657 \n",
"26 20200329 MO 838.0 11547.0 NaN NaN 10.0 12385 \n",
"27 20200329 MP 2.0 NaN NaN NaN NaN 2 \n",
"28 20200329 MS 758.0 2560.0 NaN 235.0 14.0 3318 \n",
"29 20200329 MT 154.0 4143.0 NaN 8.0 1.0 4297 \n",
"30 20200329 NC 1040.0 17905.0 NaN 91.0 4.0 18945 \n",
"31 20200329 ND 98.0 3355.0 NaN 17.0 1.0 3453 \n",
"32 20200329 NE 108.0 1968.0 4.0 NaN 2.0 2080 \n",
"33 20200329 NH 214.0 4524.0 285.0 33.0 2.0 5023 \n",
"34 20200329 NJ 13386.0 22216.0 NaN NaN 161.0 35602 \n",
"35 20200329 NM 237.0 10769.0 NaN 19.0 2.0 11006 \n",
"36 20200329 NV 738.0 8412.0 NaN NaN 14.0 9150 \n",
"37 20200329 NY 59513.0 112847.0 NaN 12075.0 965.0 172360 \n",
"38 20200329 OH 1653.0 19012.0 NaN 403.0 29.0 20665 \n",
"39 20200329 OK 429.0 1205.0 NaN 140.0 16.0 1634 \n",
"40 20200329 OR 548.0 10878.0 NaN 129.0 13.0 11426 \n",
"41 20200329 PA 3394.0 30061.0 NaN 682.0 38.0 33455 \n",
"42 20200329 PR 127.0 841.0 817.0 NaN 5.0 1785 \n",
"43 20200329 RI 294.0 2541.0 NaN 35.0 3.0 2835 \n",
"44 20200329 SC 774.0 3015.0 NaN 129.0 16.0 3789 \n",
"45 20200329 SD 90.0 3127.0 1.0 NaN 1.0 3218 \n",
"46 20200329 TN 1537.0 19037.0 NaN 133.0 7.0 20574 \n",
"47 20200329 TX 2552.0 23208.0 NaN NaN 34.0 25760 \n",
"48 20200329 UT 719.0 13274.0 NaN NaN 2.0 13993 \n",
"49 20200329 VA 890.0 9719.0 NaN 112.0 22.0 10609 \n",
"50 20200329 VI 23.0 123.0 37.0 NaN NaN 183 \n",
"51 20200329 VT 235.0 3466.0 NaN 18.0 12.0 3701 \n",
"52 20200329 WA 4310.0 54896.0 NaN 254.0 189.0 59206 \n",
"53 20200329 WI 1112.0 16550.0 NaN NaN 13.0 17662 \n",
"54 20200329 WV 113.0 2705.0 0.0 1.0 0.0 2818 \n",
"55 20200329 WY 86.0 1554.0 NaN 15.0 0.0 1640 \n",
"\n",
" hash dateChecked \\\n",
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"35 c76b9199e33fb36ea9e9509cce54c2ad94146dfd 2020-03-29 20:00:00+00:00 \n",
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"38 bf97498f0e2f4741137db5392baa1abf5648979f 2020-03-29 20:00:00+00:00 \n",
"39 43ef7985bd9555698d09d6a950875ade320286df 2020-03-29 20:00:00+00:00 \n",
"40 ec860456b55d5a18391c8cbf2748ea02bf908fd2 2020-03-29 20:00:00+00:00 \n",
"41 ad1df7816ad6d19a996749d630bc38345291f26e 2020-03-29 20:00:00+00:00 \n",
"42 5b8d867a604216d7e456141b6f80f93183e22f2c 2020-03-29 20:00:00+00:00 \n",
"43 a4d42dba093e9b91662dc7547081bffbecd06bef 2020-03-29 20:00:00+00:00 \n",
"44 b85a9aaa3da2d62f633714b4d08f409109f52bb4 2020-03-29 20:00:00+00:00 \n",
"45 2ecdd93c12093321637eb882b51f779ef2269d3a 2020-03-29 20:00:00+00:00 \n",
"46 c928e23a1549ab46b5a78ea8b86ea8fa727ca05f 2020-03-29 20:00:00+00:00 \n",
"47 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a 2020-03-29 20:00:00+00:00 \n",
"48 7da47dee17adc7161be7aeefa3d507b3bc735edf 2020-03-29 20:00:00+00:00 \n",
"49 66ebeae58d1a5e123904bd7f39d840dbe24449c2 2020-03-29 20:00:00+00:00 \n",
"50 15a59f27f2acd69bd9c1e95a02de01c044339d2f 2020-03-29 20:00:00+00:00 \n",
"51 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e 2020-03-29 20:00:00+00:00 \n",
"52 02bb082a97f1ddda79562a855dd090e632e2e5e9 2020-03-29 20:00:00+00:00 \n",
"53 2cd5d65e6cf10a667f00fe96ffd78eb850713129 2020-03-29 20:00:00+00:00 \n",
"54 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c 2020-03-29 20:00:00+00:00 \n",
"55 e6365afc2c29afd4168c8d82cd57312427281140 2020-03-29 20:00:00+00:00 \n",
"\n",
" totalTestResults fips deathIncrease hospitalizedIncrease \\\n",
"0 3334 02 0.0 1.0 \n",
"1 4990 01 1.0 0.0 \n",
"2 3453 05 1.0 0.0 \n",
"4 13872 04 2.0 78.0 \n",
"5 26257 06 22.0 0.0 \n",
"6 13276 08 13.0 35.0 \n",
"7 11900 09 7.0 231.0 \n",
"8 2811 11 1.0 0.0 \n",
"9 268 10 3.0 2.0 \n",
"10 43316 12 2.0 68.0 \n",
"11 12564 13 11.0 49.0 \n",
"12 390 66 0.0 0.0 \n",
"13 7000 15 0.0 4.0 \n",
"14 5349 19 1.0 7.0 \n",
"15 4282 16 1.0 11.0 \n",
"16 27762 17 18.0 0.0 \n",
"17 9830 18 1.0 0.0 \n",
"18 4513 20 1.0 28.0 \n",
"19 5541 21 1.0 0.0 \n",
"20 27871 22 14.0 200.0 \n",
"21 39066 25 4.0 49.0 \n",
"22 13593 24 5.0 51.0 \n",
"23 3647 23 2.0 0.0 \n",
"24 17379 26 40.0 0.0 \n",
"25 17657 27 4.0 18.0 \n",
"26 12385 29 0.0 0.0 \n",
"27 2 69 0.0 0.0 \n",
"28 3318 28 1.0 16.0 \n",
"29 4297 30 0.0 1.0 \n",
"30 18945 37 0.0 4.0 \n",
"31 3453 38 0.0 1.0 \n",
"32 2076 31 0.0 0.0 \n",
"33 4738 33 0.0 3.0 \n",
"34 35602 34 21.0 0.0 \n",
"35 11006 35 1.0 2.0 \n",
"36 9150 32 4.0 0.0 \n",
"37 172360 36 237.0 2021.0 \n",
"38 20665 39 4.0 59.0 \n",
"39 1634 40 1.0 14.0 \n",
"40 11426 41 0.0 12.0 \n",
"41 33455 42 4.0 0.0 \n",
"42 968 72 2.0 0.0 \n",
"43 2835 44 3.0 7.0 \n",
"44 3789 45 3.0 0.0 \n",
"45 3217 46 0.0 0.0 \n",
"46 20574 47 1.0 15.0 \n",
"47 25760 48 7.0 0.0 \n",
"48 13993 49 0.0 0.0 \n",
"49 10609 51 5.0 13.0 \n",
"50 146 78 0.0 0.0 \n",
"51 3701 50 0.0 0.0 \n",
"52 59206 53 14.0 0.0 \n",
"53 17662 55 0.0 0.0 \n",
"54 2818 54 0.0 0.0 \n",
"55 1640 56 0.0 1.0 \n",
"\n",
" negativeIncrease positiveIncrease totalTestResultsIncrease posrate \n",
"0 396.0 17.0 413.0 0.030594 \n",
"1 0.0 110.0 110.0 0.161523 \n",
"2 89.0 22.0 111.0 0.123371 \n",
"4 5498.0 46.0 5544.0 0.066249 \n",
"5 0.0 1065.0 1065.0 0.062963 \n",
"6 1273.0 327.0 1600.0 0.155243 \n",
"7 2798.0 702.0 3500.0 0.167479 \n",
"8 258.0 38.0 296.0 0.121622 \n",
"9 0.0 18.0 18.0 0.865672 \n",
"10 3704.0 483.0 4187.0 0.098024 \n",
"11 1228.0 285.0 1513.0 0.211000 \n",
"12 35.0 1.0 36.0 0.143590 \n",
"13 2492.0 31.0 2523.0 0.021559 \n",
"14 638.0 38.0 676.0 0.062815 \n",
"15 679.0 31.0 710.0 0.060953 \n",
"16 1166.0 1105.0 2271.0 0.165550 \n",
"17 1141.0 282.0 1423.0 0.154018 \n",
"18 523.0 58.0 581.0 0.070685 \n",
"19 326.0 92.0 418.0 0.071106 \n",
"20 2485.0 225.0 2710.0 0.127014 \n",
"21 3319.0 698.0 4017.0 0.126837 \n",
"22 838.0 247.0 1085.0 0.091150 \n",
"23 0.0 42.0 42.0 0.069372 \n",
"24 2784.0 1829.0 4613.0 0.315668 \n",
"25 1466.0 62.0 1528.0 0.028487 \n",
"26 1465.0 0.0 1465.0 0.067662 \n",
"27 0.0 0.0 0.0 1.000000 \n",
"28 0.0 95.0 95.0 0.228451 \n",
"29 887.0 25.0 912.0 0.035839 \n",
"30 1313.0 105.0 1418.0 0.054896 \n",
"31 546.0 15.0 561.0 0.028381 \n",
"32 64.0 12.0 76.0 0.051923 \n",
"33 868.0 27.0 895.0 0.042604 \n",
"34 2830.0 2262.0 5092.0 0.375990 \n",
"35 1573.0 46.0 1619.0 0.021534 \n",
"36 511.0 117.0 628.0 0.080656 \n",
"37 9231.0 7195.0 16426.0 0.345283 \n",
"38 0.0 247.0 247.0 0.079990 \n",
"39 25.0 52.0 77.0 0.262546 \n",
"40 1185.0 69.0 1254.0 0.047961 \n",
"41 4807.0 643.0 5450.0 0.101450 \n",
"42 102.0 27.0 129.0 0.071148 \n",
"43 235.0 91.0 326.0 0.103704 \n",
"44 607.0 235.0 842.0 0.204276 \n",
"45 535.0 22.0 557.0 0.027968 \n",
"46 2072.0 164.0 2236.0 0.074706 \n",
"47 0.0 500.0 500.0 0.099068 \n",
"48 2564.0 117.0 2681.0 0.051383 \n",
"49 1292.0 151.0 1443.0 0.083891 \n",
"50 17.0 1.0 18.0 0.125683 \n",
"51 1303.0 24.0 1327.0 0.063496 \n",
"52 5881.0 587.0 6468.0 0.072797 \n",
"53 1318.0 123.0 1441.0 0.062960 \n",
"54 374.0 17.0 391.0 0.040099 \n",
"55 79.0 4.0 83.0 0.052439 "
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"posrate = latest['positive']/latest['total']\n",
"latest['posrate'] = posrate\n",
"latest = latest[latest['posrate'].notna()]\n",
"latest"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"AK 3334 0.03059388122375525\n",
"AL 4990 0.16152304609218437\n",
"AR 3453 0.12337098175499565\n",
"AZ 13872 0.06624855824682814\n",
"CA 90657 0.0629625952767023\n",
"CO 13276 0.15524254293461887\n",
"CT 11900 0.16747899159663865\n",
"DC 2812 0.12162162162162163\n",
"DE 268 0.8656716417910447\n",
"FL 43316 0.09802382491458121\n",
"GA 12564 0.21099968163005411\n",
"GU 390 0.14358974358974358\n",
"HI 7004 0.021559109080525413\n",
"IA 5349 0.0628154795288839\n",
"ID 4282 0.0609528257823447\n",
"IL 27762 0.16555003241841365\n",
"IN 9830 0.1540183112919634\n",
"KS 4513 0.07068468867715488\n",
"KY 5541 0.07110629850207544\n",
"LA 27871 0.12701374188224318\n",
"MA 39066 0.1268366354374648\n",
"MD 13593 0.09114985654380932\n",
"ME 3647 0.06937208664655882\n",
"MI 17379 0.3156683353472582\n",
"MN 17657 0.028487285495837344\n",
"MO 12385 0.06766249495357288\n",
"MP 2 1.0\n",
"MS 3318 0.22845087402049427\n",
"MT 4297 0.03583895741214801\n",
"NC 18945 0.05489575085774611\n",
"ND 3453 0.028381117868520128\n",
"NE 2080 0.051923076923076926\n",
"NH 5023 0.04260402150109496\n",
"NJ 35602 0.3759901129150048\n",
"NM 11006 0.02153370888606215\n",
"NV 9150 0.08065573770491803\n",
"NY 172360 0.34528312833604086\n",
"OH 20665 0.07999032180014518\n",
"OK 1634 0.26254589963280295\n",
"OR 11426 0.04796079117801506\n",
"PA 33455 0.10144970856374234\n",
"PR 1785 0.0711484593837535\n",
"RI 2835 0.1037037037037037\n",
"SC 3789 0.2042755344418052\n",
"SD 3218 0.027967681789931635\n",
"TN 20574 0.07470593953533586\n",
"TX 25760 0.09906832298136646\n",
"UT 13993 0.05138283427428\n",
"VA 10609 0.08389103591290414\n",
"VI 183 0.12568306010928962\n",
"VT 3701 0.06349635233720616\n",
"WA 59206 0.0727966760125663\n",
"WI 17662 0.06296002717699015\n",
"WV 2818 0.04009936124911285\n"
]
},
{
"data": {
"image/png": 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lwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKXAAC1JkiSlwAAtSZIkpcAALUmSJKUgqQAdQugTQvhK4ufcEEKn9JYlSZIktU7bDNAhhO8A9wO3JXb1Ah5KZ1GSJElSa5XMCPRE4FDgY4AY47+B3dJZlCRJktRaJROgq2KM62s3QghtgZi+kiRJkqTWK5kA/UwI4QdAbgjhq8B9wCPpLUuSJElqnZIJ0JcBHwAvAd8FHgeuSGdRkiRJUmvVNolzRgG/izHekerNQwjHAr8C2gB3xhh/0cQ5w4EbgGzgwxjjl1N9jiRJktRSkhmBHgm8HkK4J4TwtUQP9DaFENoANwPHAfsA40II+zQ6pyvwa2BkjHFf4OSUqpckSZJa2DYDdIzxLGBvanqfTwXeDCHcmcS9DwLeiDEuTbyEOJ2a0ez6TgUeiDG+k3jW+6kUL0mSJLW0pBZSiTFuAJ6gJgQvYPMg3JQCYFm97bLEvvoGAt1CCHNCCAtCCN9Kph5JkiQpU7bZjpHoYx4LHAHMAe4ETkni3qGJfY2nv2sLHAgcBeQC/wghPB9jfL1RDeOB8QC9e/dO4tGSJElSeiTTz3wmNSPP340xVqVw7zJgz3rbvYAVTZzzYYzxE+CTEMLfgMFAgwAdY7wduB2gqKjIOaglSZKUMcn0QI+NMT6UYngGeAEYEELoF0JoR80o9sONzpkJHB5CaBtC6AAMA15J8TmSJElSi9niCHQIYW6M8bAQwhoatl4EIMYYO2/txjHGjSGE84EnqZnG7v9ijEtCCBMSx2+NMb4SQvgzsAiopmaqu8U7+J0kSZKktAkx7lwdEUVFRXH+/PmZLkOSJEmfciGEBTHGosb7t9nCEUK4J5l9kiRJ0q4gmWns9q2/kVhI5cD0lCNJkiS1blsM0CGEyxP9z4UhhI8TnzXASmpe/pMkSZJ2OVsM0DHGn8cYOwH/L8bYOfHpFGPsEWO8vAVrlCRJklqNrc3C8fkY46vAfSGEAxofjzEuTGtlkiRJUiu0tYVULqZm9b/rmzgWgSPTUpEkSZLUim0xQMcYxyd+PaLlypEkSZJat2SmsTs5hNAp8fMVIYQHQgj7p780SZIkqfVJZhq7H8UY14QQDgOOAX4L3JresiRJkqTWKZkAvSnx69eAW2KMM4F26StJkiRJar2SCdDLQwi3AacAj4cQcpK8TpIkSfrUSSYInwI8CRwbY/wI6A58P61VSZIkSa3UNgN0jHEt8CZwTAjhfGC3GONTaa9MkiRJaoWSmYVjEvAHYLfE5/chhAvSXZgkSZLUGm1tIZVa3waGxRg/AQghXAv8A7gpnYVJkiRJrVEyPdCB/87EQeLnkJ5yJEmSpNYtmRHo3wDzQggPUhOcRwF3pbUqSZIkqZXaZoCOMf5vCGEOcFhi11kxxn+ltSpJkiSplUplPucARGzfkCRJ0i4smVk4fkzN8t3dgJ7Ab0IIV6S7MEmSJKk1SqYHehywf4xxHUAI4RfAQuBn6SxMkiRJao2SaeEoBdrX286hZmEVSZIkaZeTzAh0FbAkhPA0NT3QXwXmhhBuBIgxfi+N9UmSJEmtSjIB+sHEp9ac9JQiSZIktX7JTGP325YoRJIkSdoZpDKNnSRJkrTLM0BLkiRJKTBAS5IkSSnYZg90CGEg8H2gT/3zY4xHprEuSZIkqVVKZhaO+4BbgTuATektR5IkSWrdkgnQG2OMt6S9EkmSJGknkEwP9CMhhPNCCJ8NIXSv/aS9MkmSJKkVSmYE+ozEr9+vty8CezV/OZIkSVLrlsxCKv1aohBJkiRpZ5DMLBzZwLnAlxK75gC3xRg3pLEuSZIkqVVKpoXjFiAb+HVi+/TEvnPSVZQkSZLUWiUToIfGGAfX254VQngxXQVJkiRJrVkys3BsCiH0r90IIeyF80FLkiRpF5XMCPT3gdkhhKVAoGZFwrPSWpUkSZLUSiUzC8dfQwgDgM9RE6BfjTFWpb0ySZIkqRXaYoAOIRwZY5wVQjix0aH+IQRijA+kuTZJkiSp1dnaCPSXgVnA15s4FgEDtCRJknY5WwzQMcafJH78nxjjW/WPhRBcXEWSJEm7pGRm4ZjRxL77m7sQSZIkaWewtR7ozwP7Al0a9UF3BtqnuzBJkiSpNdpaD/TngBFAVxr2Qa8BvpPOoiRJkqTWams90DNDCI8CU2KM17RgTZIkSVKrtdUe6BjjJuCrLVSLJEmS1OolsxLhcyGEacC9wCe1O2OMC9NWlSRJktRKJROgD0n8+j/19kXgyOYvR5IkSWrdklnK+4iWKESSJEnaGWxzHugQQpcQwv+GEOYnPteHELq0RHGSJElSa5PMQir/R83UdackPh8Dv0lnUZIkSVJrlUwPdP8Y4+h621eFEErSVZAkSZLUmiUzAl0ZQjisdiOEcChQmb6SJEmSpNYrmRHoc4HfJvqeA/Af4Iy0ViVJkiS1UsnMwlECDA4hdE5sf5z2qiRJkqRWKplZOHqEEG4E5gCzQwi/CiH0SHtlkiRJUiuUTA/0dOADYDRwUuLne9NZlCRJktRaJdMD3T3G+NN62z8LIZyQroIkSZKk1iyZEejZIYSxIYSsxOcU4LF0FyZJkiS1RskE6O8CfwTWJz7TgYtDCGtCCL5QKEmSpF1KMrNwdGqJQiRJkqSdQTI90IQQRgJfSmzOiTE+mr6SJEmSpNYrmWnsfgFMAl5OfCYl9kmSJEm7nGRGoI8HhsQYqwFCCL8F/gVcls7CJEmSpNYomZcIAbrW+7lLOgqRJEmSdgbJjED/HPhXCGE2EKjphb48rVVJkiRJrdRWA3QIIQBzgS8CQ6kJ0FNijO+1QG2SJElSq7PVAB1jjCGEh2KMBwIPt1BNkiRJUquVTA/08yGEoWmvRJIkSdoJJBOgj6AmRL8ZQlgUQngphLAomZuHEI4NIbwWQngjhLDFWTtCCENDCJtCCCclW7gkSZKUCcm8RHjc9tw4hNAGuBn4KlAGvBBCeDjG+HIT510LPLk9z5EkSZJa0hYDdAihPTAB2Bt4CbgrxrgxhXsfBLwRY1yauN90YBQ1i7HUdwEwg5qXFCVJkqRWbWstHL8FiqgJz8cB16d47wJgWb3tssS+OiGEAuAbwK0p3luSJEnKiK21cOwTYxwEEEK4C/hnivcOTeyLjbZvoGZavE01M+Zt4UYhjAfGA/Tu3TvFMiRJkqTms7UAvaH2hxjjxq0F3C0oA/ast90LWNHonCJgeuLePYHjQwgbY4wP1T8pxng7cDtAUVFR4xAuSZIktZittXAMDiF8nPisAQprfw4hfJzEvV8ABoQQ+oUQ2gFjaTSXdIyxX4yxb4yxL3A/cF7j8CxlWgiByZMn123/8pe/5MorrwTgyiuv5Je//GWGKpMkSZmwxQAdY2wTY+yc+HSKMbat93Pnbd048cLh+dTMrvEK8KcY45IQwoQQwoTm+wpSeuXk5PDAAw/w4YcfZroUSZLUCiQzD/R2izE+HmMcGGPsH2O8OrHv1hjjZi8NxhjPjDHen856pO3Rtm1bxo8fz9SpUzNdiiRJagXSGqClT4uJEyfyhz/8gdWrV2e6FEmSlGHJLKQi7ZLKK6ooW1UJQOfOnfnWt77FjTfeSG5uboYrkyRJmWSAlpows2Q5U2YsIjsri7XrN/FwyXIuvPBCDjjgAM4666xMlydJkjLIFg6pkfKKKqbMWMS6DdWsqapZfPPSGYuI7TpyyimncNddd2W4QkmSlEkGaKmRslWVZGc1/E8jOyuLslWVTJ48ucFsHBs3biQnJ6elS5QkSRlkC4fUSK9uuWyorq7b7n3x/WyorqZXt1x65HVl7dq1dceWLFnCIYcckokyJUlShjgCLTXSIy+H60YX0j47i045bWmfncV1owvpkddwpHnQoEFkZWVx9NFHZ6hSSZKUCY5AS00YOaSAQ/fuSdmqysTI8+ZtGi+99FIGKpMkSZlmgJa2oEdeTpPBWZIk7dps4ZAkSVKrFkJg8uTJddu//OUvufLKK3nqqac4+OCDiTECsGnTJoYMGcJzzz2X1noM0JIkSWrVcnJyeOCBBxrMhAVw9NFH06dPn7opZm+66SaGDh2a9hf8DdCSJElq1dq2bcv48eOZOnXqZsemTp3Kz3/+c5YsWcK0adO49tpr016PAVqSJEmt3sSJE/nDH/7A6tWrG+z/7Gc/y4UXXsjBBx/MFVdcQffu3dNeiwFakiRJrV7nzp351re+xY033rjZsYkTJ7Jp0ybOPPPMFqnFAC1JkqRWqbyiiheXfVS3feGFF3LXXXfxySefNDgvKyuLEEKL1WWAliRJUqszs2Q5h147i9PunMfa9Zt4uGQ53bt355RTTql7aTBTDNCSJElqVcorqpgyYxHrNlSzpmojAJfOWER5RRWTJ0/ebDaOluZCKpIkSWpVylZVkp2VxTqqAeh98f1kZ2VRtqqSwXvuztq1aze7pqKiosXqcwRakiRJrUqvbrlsqK5usG9DdTW9uuVmqKKGDNCSJElqVXrk5XDd6ELaZ2fRKact7bOzuG50IT3ycjJdGmALhyRJklqhkUMKOHTvnpStqqRXt9xWE57BEWglIYTA6aefXre9ceNG8vPzGTFiBAB33303559/fqbKkyRJn1I98nIYvGfXVhWewQCtJHTs2JHFixdTWVkJwNNPP01BQUGGq5IkScoMA7SSctxxx/HYY48BUFxczLhx4zJckSRJUmYYoJWUsWPHMn36dNatW8eiRYsYNmxYpkuSJEnKCF8i1BaVV1RRtqqmbaOwsJDS0lKKi4s5/vjjM1yZJElS5hig1aSZJcuZMmMR2VlZdctnjhw5kksuuYQ5c+ZQXl6e6RIlSZIywgCtzdRfPrN2BaBLZyzivtO+SZcuXRg0aBBz5szJbJGSJEkZYg+0NlO7fGZ92VlZVHfowaRJkzJUlSRJUusQYoyZriElRUVFcf78+Zku41OtvKKKQ6+dxboN/11Cs312Fs9OObLVzcMoSZKULiGEBTHGosb7HYHWZlr78pmSJEmZZA+0mtSal8+UJEnKJAO0tqhHXo7BWZIkqRFbOCRJkqQUGKAlSZKkFBigJUmSpBQYoCVJkqQUGKAlSZKkFBigJUmSpBQYoCVJkqQUGKAlSZKkFBigJUmSpBQYoJtJWVkZo0aNYsCAAfTv359Jkyaxfv165syZw4gRI+rOu+KKKzjmmGOoqqrKYLWSJEnaXgboZhBj5MQTT+SEE07g3//+N6+//joVFRX88Ic/bHDe1VdfzbPPPstDDz1ETo5LZEuSJO2M2ma6gE+DWbNm0b59e8466ywA2rRpw9SpU+nXrx9HHHEEANdffz2PP/44Tz75JLm5uZksV5IkSTvAAN0MlixZwoEHHthgX+fOnenduzdvvPEGzz77LK+99hoLFiwgLy8vQ1VKkiSpOdjC0QxijIQQtrh/7733JsbIU089lYHqJEmS1JwM0DugvKKKF5d9xJ57DWD+/PkNjn388ccsW7aM/v37s/vuu/P4449z0UUXMXv27AxVK0mSpOZggN5OM0uWc+i1szjtznlcPg9WfLia3/3udwBs2rSJyZMnc+aZZ9KhQwcABg4cyAMPPMBpp51GSUlJJkuXJEnSDjBAb4fyiiqmzFjEug3VrKnaSNXGSPzKZP5QfC8DBgxg4MCBtG/fnmuuuabBdUOHDuU3v/kNI0eO5M0338xQ9ZIkSdoRIcaY6RpSUlRUFBu3S7S0F5d9xGl3zmNN1ca6fZ1y2vL7c4YxeM+uGaxMkiRJzSWEsCDGWNR4vyPQ26FXt1w2VFc32Lehuppe3ZyeTpIk6dPOAL0deuTlcN3oQtpnZ9Eppy3ts7O4bnQhPfJcHEWSJOnTznmgt9PIIQUcundPylZV0qtbruFZkiRpF/PCdskAACAASURBVGGA3gE98nIMzpIkSbsYWzgkSZKkFBig0yiEwOmnn163vXHjRvLz8xkxYgQAK1euZMSIEQwePJh99tmH448/PlOlSpIkKUm2cKRRx44dWbx4MZWVleTm5vL0009TUFBQd/zHP/4xX/3qV5k0aRIAixYtylSpkiRJSpIj0Gl23HHH8dhjjwFQXFzMuHHj6o69++679OrVq267sLCwxeuTJElSagzQaTZ27FimT5/OunXrWLRoEcOGDas7NnHiRL797W9zxBFHcPXVV7NixYoMVipJkqRkGKDToLyiiheXfQTUjCqXlpZSXFy8WY/zMcccw9KlS/nOd77Dq6++yv77788HH3yQiZIlSZKUJAN0M5tZspxDr53FaXfOY+36TTxcspyRI0dyySWXNGjfqNW9e3dOPfVU7rnnHoYOHcrf/va3DFQtSZKkZBmgm1F5RRVTZixi3YZq1lRtBODSGYv4xphv8uMf/5hBgwY1OH/WrFmsXbsWgDVr1vDmm2/Su3fvFq9bkiRJyTNAN6OyVZVkZzX8Lc3OyqK6Q4+6mTbqW7BgAUVFRRQWFnLwwQdzzjnnMHTo0Gava+XKlZx66qnstddeHHjggRx88ME8+OCDdccnTZpEQUEB1dXVzf5sSZKkT5sQY8x0DSkpKiqK8+fPz3QZTSqvqOLQa2exbsN/g2j77CyenXJkxlYsjDFyyCGHcMYZZzBhwgQA3n77bR5++GEuuOACqqur6du3L3vssQe/+MUvGD58eEbqlCRJam1CCAtijEWN9zsC3Yx65OVw3ehC2mdn0SmnLe2zs7hudCE98nK4+uqr2XfffSksLGTIkCHMmzePDRs2cNlllzFgwAD2228/DjroIJ544olmrWnWrFm0a9euLjwD9OnThwsuuACA2bNns99++3HuuedSXFzcrM+WJEn6NHIhlWY2ckgBh+7dk7JVlfTqlkuPvBz+8Y9/8Oijj7Jw4UJycnL48MMPWb9+PT/60Y949913Wbx4MTk5OaxcuZJnnnmmWetZsmQJBxxwwBaP185NPWrUKH7wgx+wYcMGsrOzm7UGSZKkTxNHoNOgR14Og/fsWte28e6779KzZ09ycmq2e/bsSdeuXbnjjju46aab6vbvvvvunHLKKc1SQ+1Uep8kXmasNXHiRAYPHszQoUNZv349jz/+OCeccAKdO3dm2LBhPPXUU83yfEmSpE8rR6BbwNFHH83//M//MHDgQL7yla8wZswYunXrRu/evencuXOzP29myXKmzFhEdlYWH71ZRZdX/lF37Oabb+bDDz+kqKiIP//5z6xevbpudpC1a9fSoUMHvva1rzV7TZIkSZ8WjkC3gLy8PBYsWMDtt99Ofn4+Y8aMYc6cOWl5VuOp9LIKBvHme6v4fzfcVHdO7dR5xcXF3HnnnZSWllJaWspbb73FU089VXdckiRJmzNAp1FtG0V5RRVt2rRh+PDhXHXVVUybNo1HHnmEd955hzVr1jTrMxtPpRdCoM+Yn/DXWbPp168fBx10EGeccQZXXXUVTz75ZIPR5o4dO3LYYYfxyCOPNGtNkiRJnyZpncYuhHAs8CugDXBnjPEXjY5/E5iS2KwAzo0xvri1e7bmaezqq99G8ckH73DpMZ9nwqjDAbjiiiv46KOP6NChAx988AG33XYb7dq149133+Wvf/0rp5122nY/tzVOpSdJkrQzavFp7EIIbYCbgeOAfYBxIYR9Gp32FvDlGGMh8FPg9nTV05Iat1FUrl3LRed/l899/gsUFhby8ssvc+WVV/Kzn/2M/Px89tlnH/bbbz9OOOEE8vPzd+jZW5tKT5IkSTsubSPQIYSDgStjjMckti8HiDH+fAvndwMWxxgLtnbfnWEE+sVlH3HanfPqlvMG6JTTlt+fM4zBe3ZtkRrKK6oaTKUnSZKk1GxpBDqds3AUAMvqbZcBw7Zy/reB5l1FJEN6dctlQ6NlsTdUV9OrW26L1dAjL8fgLEmSlAbpfIkwNLGvyeHuEMIR1AToKVs4Pj6EMD+EMP+DDz5oxhLTwzYKSZKkT690jkCXAXvW2+4FrGh8UgihELgTOC7GWN7UjWKMt5Pojy4qKkrfW4/NqKkVCSVJkrTzS2eAfgEYEELoBywHxgKn1j8hhNAbeAA4Pcb4ehpryQjbKCRJkj590hagY4wbQwjnA09SM43d/8UYl4QQJiSO3wr8GOgB/DqEALCxqUZtSZIkqbVI6zzQ6bAzzMIhSZKknV8mZuFQBr333ntceOGFvPDCC+Tk5LD77rszb948Bg4cyDvvvEOXLl3o0qULPXv25C9/+Uumy5UkSdppGKA/hWKMfOMb3+CMM85g+vTpAJSUlLBmzRoOP/xwzjzzTEaMGMFJJ52U4Uq3X15eHhUVFZSWljJixAgWL16c6ZIkSdIuIp3T2GkrHnzwQUIIvPrqqwCUlpay3377Ncu9Z8+eTXZ2NhMmTKjbN2TIEA4//PBmub8kSdKuzACdIcXFxRx22GF1I8TNafHixRx44IHNfl9JkiQZoDOioqKCZ599lrvuuistAVqSJEnpY4DOgIceeohjjz2WgQMH0r17dxYuXJjyPfLy8oCa1o8QAjfddBMA5RVVPPjokzz86KObXfPee+8xduxYZsyYwYUXXsjxxx/P66+/zpIlSzjyyCMZOHAgAwYM4Kc//SmtdXaW8ooqXlz2UabLkCRJuzADdAYUFxczduxYAMaOHUtxcfEO3W+33XbjV7/6Ffe/8BaHXjuLRava8M6Hazj/x9fVnfPPf/6To446iuHDhzN69GhuuOEGrrnmGlauXMnIkSO57LLLeP3113nxxRd57rnn+PWvf71DNaXDzJLlHHrtLE67cx5r12/i4ZLlmS5JkiTtgpyFowWVV1SxeOlyZs2axeLFiwkhsGnTJkIInHfeedt93/z8fA486Iucf+UNtB90NBuqq8k74Ov87v5HeOz3t9IhN5dOnTrRoUMHJkyYwPPPPw/UvFh41113ceihh3L00UcD0KFDB6ZNm8bw4cOZOHFis3zv5lBeUcWUGYtYt6GadVQDcOmMRRSP3SvDlUmSpF2NI9AtpHb09NQf3EDOF47gppnPUVpayrJly+jXrx9lZWU7dP8x376AVfMeIFZvAqBN+zz6nHwFDz2zkCVLlnDqqady2GGHAXD33XfXTWG3ZMmSzV447N+/PxUVFXz88cc7VFNzKltVSXZWw7+u2VlZvLu6itdee41evXrVfe67774MVSlJknYFjkBvp5UrV3LRRRfx/PPP061bN9q1a8ell17K6tWrmT9/PtOmTas799DDv8TygaMhf2/KF82myxdP5tIZizh07570yMth9OjRXHPNNXVBsNbUqVM5+eSTk6pn2ODP036PgXzy8jN1+zZUV9OrW+5Wr4sxklhGfTNb2p8JvbrlsqG6um6798X3s6G6mmGFn2PDhg0ZrEySJO1qHIHeDjFGTjjhBL70pS+xdOlSFixYwPTp07c4ily1sZq2idHTz5z6C3L3OpDsrCzKVlUC8L3vfY8nnniCDRs2UFZWVvdpKjxv6SW6Hnk5/PyqH7PmnzPIzgpktwlcN7qQHnk5lFdU0T6/D8//84XNrtt3331pvDT60qVLycvLo1OnTin/3qRLj7wcrhtdSPvsLDrltKV9dlbd95MkSWpJBujtMGvWLNq1a9dgoZI+ffpwwQUXNHl+TtssNtYbPYXkRocb29ZLdOd948scd1gR7Vb8ix8e/wVGDimou+bGV3IoKf2gwYuFL7zwAgMGDGDu3Ll1y3lXVlbyve99j0svvTSl2lrCyCEFPDvlSH5/zjCenXIkI4cUZLokSZK0CzJAb4clS5ZwwAEHJH1+dpssLjhywA6NntZ/iW5N1Uag5iW6VZ9UNTjvqp/8iJXvriCvfXaDayrWb6LHCT/kd/c/Qr+99mLfffflyiuvZI899mDmzJn87Gc/43Of+xyDBg1i6NChnH/++UnX1pJ65OUweM+ujjxLkqSMsQe6GUycOJG5c+fSrl27LQbP4Z/fnTNH7UfZqkp6dctNOQDWvkRXOwNF74vvJzsri6zOu7N48eK68wYPHkx1YrT7xWUfNbimbace9Dn5Cn5/zjAG79m1wf3nzJmTUj2SJEm7KgN0CsorqihbVcmeew1gxowZdftvvvlmPvzwQ4qKiujRowerVq1qcN1//vMfevaseWFwe0dOG79EB9tuA9meayRJkrR1tnAkqX7/8WXPR979z8fccsstdcfXrl0LwNChQ3n22Wd57733AJg/fz5VVVXsueeeO/T87XmJzhfvJEmSml9orUs2b0lRUVFsPGtEupVXVHHotbNYt+G/o7lt133EoLKZlCx4gfz8fDp27MiECRMYM2YMM2fO5KqrrqK6upq8vDxuvPHGlHqmt1VLqm0g23NNa5eXl0dFRUWTxwYPHsw+++yzwys87ogQAqeddhr33HMPABs3buSzn/0sw4YN49F6y6yPGjWK999/n3/84x+ZKlWSJG1BCGFBjLGo8X5bOJJQ239c+sdL6fLFk8nd60Byu/Tkysm3M3vG3Tz11FO88847jBkzBqgJRaNGjUpLLdvTBrIjrSM7m1deeYXq6mr+9re/8cknn9CxY8eM1NGxY0cWL15MZWUlubm5PP300xQUNJw15KOPPmLhwoXk5eXx1ltv0a9fv4zUKkmSUmMLRxJqe4k77vNlPnnl78B/e4mnT5/O5Zdfvtk1bdq0YciQIey777707duXEAIvv/wyAKWlpeTk5JCXl0dOTg5dunTh7LPPrmsD0fb74x//yOmnn87RRx/Nww8/nNFajjvuOB577DEAiouLGTduXIPjM2bM4Otf/zpjx45l+vTpmShRkiRtBwN0Emp7ibvvezjrlr5Au7CJ60YXsubDd1mxYkWD1QNr5ebmUlJSwpIlSygsLKRLly6ce+65AHzwwQfEGHn66adZu3YtBxxwAJ06dWLNmjUt/dU+de69917GjBnDuHHjMtrCAdQF43Xr1rFo0SKGDRvW4HhtqG4NtUqSpOQZoJM0ckgBz191Agd/8SB+NHg9I4cUMH36dMaMGbPVJa8rKipYsGABM2bMYO7cucQYueeee+jatSsHH3wwbdq0YdiwYRQUFLD77ru34Df69HnhhZp+9D59+nDUUUexcOHCzWZEaUmFhYWUlpZSXFzM8ccf3+DYypUreeONNzjssMMYOHAgbdu2bTAdoSRJar0M0EmqfRHv1HHjeHxmzRR206dP3+x/yzf20EMPceyxx3LUUUcRQuAvf/kLr7/+Ou3btwdg3bp1zJs3j2OPPTbt3+HTYEtLmUPNiO6rr75K37596d+/Px9//HGD6QYzUd/IkSO55JJLNvt7cu+997Jq1Sr69etH3759KS0ttY1DkqSdhAE6CfWnsJv67y488eTTLFy4kMrKyq3OrvHiso/47T1/YOzYsQC0a9eOBx98EID33nuPIUOG0KNHD3r37k1hYWGLfJed2daWMq+urua+++5j0aJFlJaWUlpaysyZM1u0NaKp+s4++2x+/OMfM2jQoAbnFhcX8+c//7mu1gULFhigJUnaSRigt6HxEtrrQw7Vn/kCZ5x5VpOjz+UVVdz413+zdv0mxt74NH+dNYtvfussCgoKqKqq4pFHHmHAgAF07dqVkpIS3njjDZ5//vmMv/DW2jX+c4gbqhj9pcHsUdCLXr16ccMNN1BQUNBgposvfelLvPzyy7z77rstXh/ULLWe2zWfSZMmNTi3tLSUd955hy9+8Yt1+/r160fnzp2ZN29e2muVJEk7xmnstqHxEtoA3QYdweI//ZT7/nRvg3Nnlizn0vsXUbWx5tz3X3qGjvseSecjz2DPF+/knHPOYc6cOXzlK1/htttuY968eQwbNoxf/OIXXHzxxRx00EF85jOfadHvt7No/OfQZ8ojdMpp22BZ8osvvrjBNW3atGmR8NxUfbVLrZetqqybQnD48OEMHz4cgOXLl292j4ULF7ZIrZIkaccYoLehqeWwcwcezIdr1tUFo759+/LM8ws49NpZdeE5bljHf578NWRlsfaVZzj6ggv5yU9+AsBpp51Gr169uOSSS3j//ffJyspi1apVvPTSSwboLWjty5K39vokSVLzsYVjG5JdDrt2BLJWyG5PnymP0Of7M8n73CF065hDVlYWZ511Fn369GHp0qX8/e9/57XXXuOVV16hvLycr371qy399XYa6V6WvHbe7v3224+TTz65wZzcDz74ICEEXn311YzVJ0mSWg9HoJMwckgBh+7dc6vLYTc1AgmQ0zZw6te/wqoP3mmJUj81ysvLOeqoo4CaFy7btGlDfn4+VR9/zJqNm3hm7vPs3fuzrFq1igMOOIA5c+bQp0+f7X5e7bzdAN/85je59dZb61pCiouLOeyww5g+fTpXXnnlFu+RzN8TSZK083MEOkk98nIYvGfXLYaixiOQAJO/OpC/f384H76+gJEjR7ZkuTu9Hj16UFJSQklJCRMmTOCiiy6ipKSEt5YuZdL5E7nuZzXtMJdddhnjx4/fofDc2OGHH84bb7wB1Mzj/eyzz3LXXXclNUvGtv6eJKN2NLz2U1paypw5cxgxYsR231OSJDUfR6CbUf0RyAN+tp67Jp/Mj0pLOfDAA23PaEYXXXQRBx54IDfccANz587lpptuarZ7b9y4kSeeeKJuXu7aebwHDhxI9+7dWbhw4VanLmwO9UfDa5WWlqb1mZIkKXmOQKdJbQh6++23Wb9+PTfffHOmSwIghMDpp59et71x40by8/PrRjfvvvtu8vPz2X///RkwYADHHHMMzz33XKbKbVJ2djb/7//9Py666CJuuOEG2rVrt8P3rKysZMiQIRQVFdG7d2++/e1vAzXtG7XzeI8dO9YltyVJkiPQzWlmyXKmzFhEdlZW3UIaI4cUcOONNzJq1CjOPffcTJdIx44dWbx4MZWVleTm5vL00083mDsZYMyYMUybNg2A2bNnc+KJJzJ79my+8IUvZKLkJj3xxBN89rOfZfHixTs0ul+7wmRTo77l5eXMmjWLxYsXE0Jg06ZNhBC47rrrtrp8+46qDfNQMz907eI7kiSpdXAEuplsaSGN8ooq9t9/fwYPHtxqVpo77rjjeOyxx4CaEdatLUd+xBFHMH78eG6//faWKq9uOezyiqomj5eUlPD000/z/PPPM3Xq1O2e63lrKxsC3H///XzrW9/i7bffprS0lGXLltGvXz/mzp27Xc/bltrvXRvmS0pKDM+SJLVCBuhm0ngau/oLaQA88sgjnH766fTt25fFixc323OHDx/Ok08+2WDfDTfcwHnnnQfA1KlTad++PatXr647PnbsWKZPn866detYtGgRw4YN2+ozDjjggK1O4dac6ofaQ6+dtVmojTFy7rnncsMNN9C7d2++//3vc8kll6T8nK39g6dWcXEx3/jGNxpcN3r0aP74xz9uxzfbum2FeUmS1HoYoJtJphbSGDdu3GYj29OnT68bVS4uLmbo0KENRjILCwspLS2luLiY448/fpvPiDE2b9Fb0DjUrttQzaUzFrF2/ca6c+644w569+5d17Zx3nnn8eqrr/LMM8+k9Kxt/YMHYM6cOXUvE9b63ve+xy233LI9X2+LkgnzkiSp9TBAN5OWWkgjhMDkyZPrtt977z3+9Kc/8dRTT3HwwQdTWlrKihUrOOyww3jttddYuHAhF110Eb/7/R94cdlHddeNHDmSSy65ZKvtG7X+9a9/pdT/XFZWxqhRoxgwYAD9+/dn0qRJrF+/vsmp2M4880zuv//+musahVqA7KwsvnnuJXWjzOPHj+fee/+7hHqbNm1YsGABX/7yl5OuD1rXyoFb+t71wzzAX//6V3r16lX3+cc//tGSZUqSpARfImxGLbGQRk5ODg888ACXX345PXv2pGPHjhQUFPDJJ59QVlbGLbfcwpgxYwghcM0119C7d29C36H8ff65jP3Vk3XtAWeffTZdunRh0KBBzJkzZ4vPe+aZZ7j99tuZPXt2UvXFGDnxxBM599xzmTlzJps2bWL8+PH88Ic/5Gtf+9pWr23JUFv7D55LEy99bqiuztjKgY2/d++L79/sew8fPpzKysqmLpckSS3MAN3MeuTlpDWEtW3blvHjxzN16lSuvvpqAPbbbz/+9Kc/cfLJJ3PPPffw6KOPAvDwww9z3gUXcvmDi8kdcDDvL5oD1LQHPDvlSCZNmtTkM+69917mzp3L2rVr6devHzNmzEhqBLq8vJxhw4bx3nvvcfnll3PFFVeQn59PdXU1L730Em+++Wbdub/85S+pqKhocH1Lh9rWsnJgawrzkiRp20JL9bc2l6Kiojh//vxMl7GZNm3aMGjQIDZu3MgXvvAFfvvb39KhQ4cG+/v168c999xD165dAcjLy6sLkY8//jiTJk3iRz/6EbfccgvPPfdc3dRpBx54IL/+9a855JBDyMvLY8WKFRQWFjL72X9y0y23Ub1uDX/83d1cf/31fOc732HdunXMnz+foUOH8pk9Cij/ZAPVmzbStstn+Mxp19Eppy2/P2cYg/fs2uy/DzfeeCNvvfUWXbp0IS8vr671Iisri27durF+/Xr69+/P+++/T3V1NevXr+f222/npJNOqrtH7dRyu9py2LvC977ooovo06cPF154IQDHHHMMe+65J3feeScAkydPpqCggIsvvpipU6dy+eWXs3LlSrp06ZLJsiVJu6gQwoIYY1Hj/fZAN5PaqccWL15Mu3btuPXWW+v2v/jii+y///50796d3XbbrW7xksrKSgYMGMB3v/tdvv71r7NixQq++93v8s9//pOiopo/q5tuuomhQ4fyucID63qYO3fuzLCjT2DoNydTPO8dfv/P5QwcMozrr7+eDh068Nprr/Hzn/+cz3/+8yx+7U32uuBuek38HRsrytm4+v209vrGGJucIzmEwCGHHMLuu+9OSUkJF198MRMmTGhyifPmWA57Z7QrfO9D/n97dx4eVZXtffy7qjIBIQkBAoRBcEBEhoC0iIgXcYRWFFoBwVcF0UZpkSsIen1Euh2u0Djcllbf7qYvTk20cUBbbXFEZVAQmQcZRCBIgBAISEhCat8/arASkpAKZID8Ps9TT6p2nWHXyqFYOWedvS+8MDQxj8/nY8+ePaxevTr0/oIFC+jZsydQ8g2wIiIiNYES6ErQq1cvNm7cGHodnLzkvPPOwznHRx99RGJiIj6fj0ceeYQ333yTlJQU/vGPf5Cbm8v27dvZtWsXq1evZvr06fzHTfcUGeLs1UU/sjThQvZ9N5fc3EMc8Tl+SExj+fLlDB48mPT0dD788EPWrVvH2DtHhm5uTGrXgx0z7qT+vCf54qP3MTOmT59Op06daNq0KXXq1KFNmzakpaXRoUMHzIy1a9eW+3NnHcwjrvFpLPz6myLtOTk5+Hw+brnlFnbs2FFkSD2pXXr27BlKoFevXk2HDh2oX78+2dnZ5OXlsXbtWrp06cKmTZs4ePAgjz76qGZ/FBGRGkcJ9Al25MgRPvjgAzp27Aj4Z5U7cuQIV155JbNmzcLr9TJmzBh++OEHAIYOHcqRI0fYvXs3jz/+OADNmjVjwoQJ9OjRg7HjJ/Lox9uKDHH2+3dXE1svgXrtLuLgio8ASG5/Ecu2ZnP33XfzyiuvULduXerWreufqe/sZOZP7MPv7xrKue3OpklCHLNmzSItLY1JkyYxZ84cdu7cyZo1a/B6vbz00kv079+fYcOGlXv0jeA4xs+ui+O7HzL597xFABQWFjJu3Diio6Np1KgRzZv7Z2aU2ik1NZWoqCi2bt3KggUL6NGjB927d2fhwoUsWbKETp06ERMTE5rgp1evXqxfv55du3ZVd9dFRERClECfIMHpl7t160arVq247bbbAH9JQ15eHs899xyLFi2ioKCAjRs3hsocvF4vhw8fJjo6msWLF2NmNGvWjIEDB1JYWEivX99w9BBnXg/5hY6E8wfgy80Bfhmton379tStW5c+ffpgZqFZBxvGx/L1x+9y0zB/wj5//nxatWpFbGwsbdq0AfzTRj/wwAOMHz+e119/neeeew7w160+88wzof1feeWVjBw5MvT6rrvHcvt9k9n8wigO5hfS6LoHWbpiJf/9xBO0bduWuLg4YmJiQvuYMWMGP//8cyX9JqSmCs602K37BSxYsCCUQPfo0SP0+sILLwT8Y5kPGTIEj8fDwIED+ec//1nNvRfwD5s5ZMgQzjjjDNq3b0+/fv34/vvvgZInbRIROVUpgT5OJU2//Oyzz4YSxjp1/LXG3yzz13k65/B6vcTGxgEwePBg4uPj8Xg8NG/enDPPPJOmTZty6aWXYmYlDnFW6BwPX9OeekkNOfe/5tD0kv9XZNSG5cuXhyZXKWnWwczMTK666iq2bdtGSkoKS5cuDW2/bdu2zJs3jxdffJGEhATg2HWrH3wyD2+zX85URyU0JqnDJdwy6h42bdrEs88+C/iHYps7dy6DBg1ixowZAMycObPIDYRyagqfafHLnGRemTOXlStX0qFDBy644AIWLlwYqn9esWIFGzZs4PLLL6d169akp6erjKMGcM4xYMAAevfuzaZNm1izZg2PP/44mZmZgGrWRaR2UQJ9HI41/XLWwTwchsfj4dL7/wrmxTlHbJtuHDqcD8BPOfn0798fM2Pnzp387W9/IyUlhaioKHw+X6kTtAzrfhrzJ/bhlZHdmT+xD/3TmpfYx5JmHczIyGDIkCE457jqqquKJCePPfYYDRs2DN3IBWXXre7IymHr5g144uKL7LfQORLrRJfYp3HjxrFnz54Ioy0nq+IzLXqbnsPcf39A/cQkvF4vycnJ7Nu3j4ULF9KjRw9mzZrF5MmT2bJlS2hioIyMDH788cfq/ii12meffUZ0dDSjRo0KtaWlpdGrgNLXbQAAGBpJREFUVy/VrItIraNxoCsoPCk4jP8M8YQ3VtDzzEY0jI9lzrIMJr6xgryCQnzmZd+qeeCNgiOFeBs0xVMvEd+BPSz4bhWt+15M48aN2bJlC3v37mXNmjXk5+eHyjxKG6+4tDGng8OhBQVnHXz7/bl8u2o9WVlZjBw5kqysLH788Ufi4+OZOnUqL730Ehs2bOCSSy4psr2S6lYzMjJITk7mymsGEtekDeaNovBQDvu+epWki4Yx+eHJJGYspEOHDjjnaNWqFdOmTWP8+PE0adKEQ4cOVdavRmqY4EyLwX8n0Y1Po/BQDm07dg0t07FjRw4ePEijRo1IT0/ngw8+KLKNAQMGkJ6ezsSJE6u07/KL4I3QJSmpZj0lJaWKeygiUnWUQFdQ8aSg1b2zWf9oP/4zczRPP/UkE99YQeZXs6l//gD2f/0muRu/hiN5ABzevBTfz/sAIy/zB9ZvbB46uzZ06FAKCgq4/PLLiyQR5Z2gJZi4R3s8RWYd3HrQcfu/drHn49lY3SSIrsNXX33FDTfcQHJyMsOHD+fFF18kOjoa5xx16tTh7LPPptDnuOWue4vUrd57771kZGTg9Xr5+stPiTnr4iJ9iI3ykLJ/LVOeeYa5c+eSmprK4cOHefnll09Q9OVkUrwMyTxezpowmycm9gm1zZw5M/Q8eINtuKeeeqpS+yhlyzqYR0Z2LrkFhSW+n56ezltvvVWkZn306NFV3EsRkaqjEo4KKmnaafNGM2/uv1i5aTvO98sENaeNe4OoBP/ZmMSeN5Jyw2Sik1Ox6Fji2/Xkissuw+v1EhMTQ5MmTUhJSeHAgQMR96n4pXLwnxU/HJ3IV7Hnc7jAR86m7/DUSWRnzmFannkOU6ZMYdu2bcyaNQszIzU1lbg4f332/twC9ne5iRd/alpi3apzjtTUVNon+YiN8uAxI8pj/PH6Tvz5mWlMmzaN1NRUAOLi4rj99tsrFGs5uZVWhnQqj3d9KgmWqr2+0fHSO58eVaqmmnURqY2UQFdQSUlBbEw0o377W17/3xfIKyw6w2N049MAqHfOxUdt6/NPPiIlJYUXXnjhuGo+t2fnwsEsdr3xCBl/uR1vvST2zP3/LN68i7ytK9n69CAwD778XAoPZrM9O5eBAweyY8cOHnjgAaZOncqWLVt4//33ad3mdGIHTcPTrH2pdasAe/bsYevaZcwc1oHEutGMuKgN/dOal3m5V2qf/mnNy1WzLzVL+B/lvtQOFB4p4I4Hp5J10H81bfHixdxzzz2qWReRWkclHMeheG3yaU8bo0ePpt25Hag3pHuRZaMbtgRg9ztTofAIBXu3g4P8n77nq/WZTH74YYYPHx5aviI1n82T4vjx9Ueo17kv8b95COcrZP/cP/PJy3+i0JdKXMtzSbn+YfL3bGPnzLvJWPcdnVteUuK2Cgp91DlG3arH4yEpKYnBgwfz1uv/IMpj1I3RISUlK28ZktQc4aVqZkbjAQ9y4PO/kXZuOxLi69K6dWs+//xznn/++SLrqWZdRE51ynaOU/GkICEhgaHDbmLmojlgMUWWTeo9gsTuA/lxytXU/9V1JPcZSVy0hxvjlpOffxiAyZMnEx8fX6Tms3Xr1ixZsoRGjRqV2Zfl38zn9CYNKDzvSqI9Hgp8HqZM/x9GX9uT0ZOf5qlFUD82ikN14qgTV4eD2buLrB8+BXe011Nq3WrwJsXY2FjWr1/P3r176dq1K3feeSfO+c+8n3vuuXz77bf06dMHETk5FS9Vi6rfkGYDH2D+xD5l/jGkmnUROdWphOM4BMeA3ph5gOXb9oXaf96fTd537+It9F/mzHztIQ5t+BqAaK+BeTiw+G18meuZ+ptO1Iv1/x0zduxY5s+fX+H+rF69miv+o0eRS+VDLmpHq1ataOT28avWyTx8TXtmDu9OQf5hLr74l3KSvXv3FknQvR4rsW71q417jhq6Lzk5ucjYzgAPPPAAEyZMYOfOnQDk5eVpBkKRk4zq10VESqYz0BUUHO0C4HCBj1ivhRLKPn368Nlnn3Hwh3l06H0tn2/KweXmEO01nryhMwOegBatzyD1+zfpn3Yv0z72T1Iwe/bsCk8qknUwj+17D3G4wHfUWXHnHCsz9vPFl1+y8NcXk5+1naQGyaxevZqmTZuyd+9e/v3vf3PPPfcU2WbxEhWAnlM+LXHovnHjxjF9+vTQuv369SMzM5PLLrsM5xxmxogRIyr02USk+pQ2jKaISG2mBLoCwm+sCQreNDjhjRXMvrkbOTk57Nu3jzbxhSRdcgHz589n+yczuOWSN/D5fMR4jSXffE3Dhg1JSUkhOTmZ7Oxs0tPTyczM5KGHHgL8JSHZ2dll9ic05vQWR+a8T+g7MiN0k1ZOTg5bt25jz1ZHbAt/DXTB3gx2vjyO8fdNwPn8w1I9/PDDnHHGGUdtOzwZX75t31FD90V7PGzPzqVzy6PHdh4+fHiRum4ROTmpfl1EpCiVcFRA8Maa4oIJZWFcA2JiYli3bh1paWn0vvgibr35JmJjY2nUqBEej4cNGzZQt27dUN1xXl4eU6dOZdSoUSQlJbFt2zZyc3PJzMwMDQVXkqJ3yXeksCCP3z78NFkH8ygsLGTcuHFcff2NRMfEhdaJTm5OysVDadqydWj68WHDhoXeb926NatWrTpqXyUN3Vfg84XOTouIiIjUBkqgK6CkRDIomFAGp79OT0/nzjvvpEWLFvh8PuomNMAXWLdVq1bs37+fzZs3s27dOm644YaI+xKezAfvkv957Vd06dietm3bEhcXxxP//TiFvqLD6tXv0pdlixeVOGlFScyMsXeODNVDxkcb258dSv15T9IwPpaZM2fi8XhYsWJFaJ0OHTqwZcuWiD+TiIiISE2mBLoCwm+siYv2hzDWa8RFe3jo1+39JQ3nnc+CBQv4/PPP8Xq93Hf/f1FQUMDq9RsBSD3tdFavXs2RI0fIz88nLy+PUaNGsXv37rJ2fZSj7pJPaEzq4If5buUaNm3axLPPPktqwwSmj7uJVjf+PnQj0LQhv+KnHRm0adOmXPupV68eq1at4vKzk5k/sQ93nvUz55zRmiYJv5zZbtGiBY899lhE/RcRERE52agGuoLCb6ypF+Pl5/xCVmXs55H31hDt8XBgh5ect18DoGHjFPbmARi+PH+dcE6dZsTG7aROXBzZ2dkkJiYyePBgbrvtNqKiyv9rCSbzEwLTdxf4fCXeJX8ibgTq27cv7733Htdffz1ff/wuNw0bypdffhl6/+qrr+aLL75g/fr1nH322RFvX0RERORkoDPQx6FhfCydWyZxZpP6tGhQh0feWxOaRts1aEX23r0AFLa7AleQD2ZYVDQAP69fwKV9+9OuXTs8Hg/16tWjXbt25OXl4Qmrr545cyZXX301jRo1YvLkyUybNu2ofvRPa876R/vR5ad3Q7O8TZs2jcmTJwP+saXNjOyd2+jcMomG8bE8/fTTmBlLliwp9+cdMmQI6enpHD58mBUrVtC9e9HJYjweDxMmTODxxx+PNJQiIiIiJw0l0CdI8RsLzeOlbutOgLF/2VwKc/eDc8Sn9QXz4KmXyKH9WXTu3Jm+ffvSpUsX1q1bh8fjoaCgIOL9x8bG8uVH7+EOHyjx/Y4dO5Kenh56PXv2bNq3bx/RPjp16sSWLVuYNWsW/fr1K3GZoUOHsmhR+WurRURERE42SqBPkOK1yIW5OeRuXQU4fPm54AAc+bu2gBmT/vg8y79byvfffw8QmsGvoqKiorjjjjt4+umnS3z/uuuuY86cOQBs3ryZxMREGjdufMztBieLCerfvz/jx4/nxhtvLLUf48aNY8qUKRX4FCIiIiI1nxLoE6RhfCwPXf3LGd1D6+dT79w+WHQcLe9+hRa/exk8Xo7s/oEoj/HrX53FTTfdxNKlS7nrrrtYuXIl55xzDvn5+SQkJHDZZZeRlpbGpEmTyt2H0aNH8+qrr7J///6j3ktISKBly5asWrWKWbNmMXjw4GNub86yjKNmHRwxYgSTJk2iY8eOpa5366238vHHH0d8Q6SIiIjIyUAJ9AnUskHd0POf18wjptlZOOc/K52QmERU/Yb4ft4bGvu5QYMG3HzzzQwaNIikpCQ2bNiAmYXGZl62bBl/+MMfyr3/hIQEbr755lKnzA7WML/99tsMGDCgzG2Fjy99IO8I4J8kpk5S46NmLCwuJiaGMWPGsGvXrnL3XURERORkoVE4TqhfyjCaDn2CvJ0bobCAn2bcSdOkevTu3oWvvphHkyZNGDZsGPv27SMrK4ukpCSysrP581//l7i4uHKVVgRlHcxje3Zu6PXYsWPp2rVriTMAXnPNNdx3331069aNhISEMrcbrOkuadbB4AgevXv3pnfv3oD/rPOtt94aWn/MmDGMGTOm3J9DRERE5GShBPoEOjc1kWivURCY1ju26ZmcNuFdYqOMBfdfWurQccGpuHd7PBz+9BPeWfbLVNxlCa4X7fGESiz6pzVn0KBBzJgxgxEjRhRZvk6dOkyZMoW2bdsec9uadVBERESkZCrhOIEaxsfy5A2difZaqC3KA3+8vnOpyXNppRJZB/PK3FdZ640bN449e/aUuN6QIUPo2rVruT5LcLKY4OQrJY0vLSIiIlLb2PGO/lDVunXr5iIZu7g6ZB3MY/WO/YBxbmpCmUnn8m37uOlvX4eSYID6sVG8MrI7nVsmnfD1IhUsEano5CsiIiIiJysz+9Y51614u0o4KkHD+FgubptSrmUrWipRVSUWDeNjlTiLiIiIhFEJRzWraKmESixEREREqodKOGqIipZKqMRCREREpHKohKOGq2iphEosRERERKpWpZZwmNlVZrbezDaa2f0lvG9m9qfA+yvM7NjDQ4iIiIiIVKNKS6DNzAv8GegLtAduNLP2xRbrC5wVeNwBPF9Z/REREREROREq8wz0+cBG59xm51w+kA5cW2yZa4GXnN8iIMnMmlVin0REREREjktlJtDNgW1hr7cH2iJdRkRERESkxqjMBNpKaCs+5Ed5lsHM7jCzJWa2ZPfu3SekcyIiIiIiFVGZCfR2oGXY6xbAjgosg3PuL865bs65bo0bNz7hHRURERERKa/KTKAXA2eZWRsziwGGAO8UW+Yd4ObAaBwXAPudcz9VYp9ERERERI5LpY0D7Zw7Yma/Az4EvMDfnXOrzWxU4P0XgPeBfsBG4BAwvLL6IyIiIiJyIlTqRCrOuffxJ8nhbS+EPXfA6Mrsg4iIiIjIiVSpE6mIiIiIiJxqlECLiIiIiERACbSIiIiISASUQIuIiIiIREAJtIiIiIhIBJRAi4iIiIhEQAm0iIiIiEgElECLiIiIiETA/HOZnDzMbDfwYzXtvhGwp5r2XRsovpVL8a18inHlUnwrl+JbuRTfylcZMT7NOde4eONJl0BXJzNb4pzrVt39OFUpvpVL8a18inHlUnwrl+JbuRTfyleVMVYJh4iIiIhIBJRAi4iIiIhEQAl0ZP5S3R04xSm+lUvxrXyKceVSfCuX4lu5FN/KV2UxVg20iIiIiEgEdAZaRERERCQCSqDLwcyuMrP1ZrbRzO6v7v7UZGbW0sw+M7O1ZrbazO4JtE82swwzWxZ49Atb54FAbNeb2ZVh7eeZ2crAe38yMwu0x5rZa4H2r82sdVV/zupkZlsCcVlmZksCbclm9pGZbQj8bBC2vOJbTmZ2dtgxuszMcsxsrI7f42NmfzezXWa2KqytSo5ZM7slsI8NZnZL1XziqlVKfP9oZuvMbIWZvWVmSYH21maWG3YsvxC2juJbglLiWyXfCbUhvlBqjF8Li+8WM1sWaK8Zx7BzTo8yHoAX2AScDsQAy4H21d2vmvoAmgFdA8/rA98D7YHJwPgSlm8fiGks0CYQa2/gvW+AHoABHwB9A+13AS8Eng8BXqvuz13FMd4CNCrWNhW4P/D8fmCK4nvccfYCO4HTdPwedywvBroCq8LaKv2YBZKBzYGfDQLPG1R3PKoovlcAUYHnU8Li2zp8uWLbUXzLH99K/06oLfEtLcbF3n8SmBR4XiOOYZ2BPrbzgY3Ouc3OuXwgHbi2mvtUYznnfnLOLQ08PwCsBZqXscq1QLpzLs859wOwETjfzJoBCc65hc5/lL8EXBe2zouB57OBS4N/ZdZi4TF5kaKxUnwr5lJgk3OurImbFN9ycM59Aewt1lwVx+yVwEfOub3OuWzgI+CqE/8Jq1dJ8XXOzXXOHQm8XAS0KGsbim/pSjl+S6PjtwLKinEgFoOAWWVto6pjrAT62JoD28Jeb6fshFACApdIugBfB5p+F7ic+Hf75XJtafFtHnhevL3IOoH/IPYDDSvhI9RUDphrZt+a2R2BtibOuZ/A/0cMkBJoV3wrbghFv7B1/J5YVXHM6vvbbwT+s3FBbczsOzObZ2a9Am2Kb+Qq+zuhtsc3qBeQ6ZzbENZW7cewEuhjK+nMkIYuOQYziwfeAMY653KA54EzgDTgJ/yXY6D0+JYV99r+O+npnOsK9AVGm9nFZSyr+FaAmcUA/YF/Bpp0/FadExnTWh9rM3sQOAK8Gmj6CWjlnOsC3Av8w8wSUHwjVRXfCbU5vuFupOjJjBpxDCuBPrbtQMuw1y2AHdXUl5OCmUXjT55fdc69CeCcy3TOFTrnfMBf8ZfGQOnx3U7RS47hcQ+tY2ZRQCLlv7x20nPO7Qj83AW8hT+WmYHLV8HLWLsCiyu+FdMXWOqcywQdv5WkKo7ZWv39Hbgh6mpgWOCSNoHSgqzA82/x1+i2RfGNSBV9J9Ta+AYF4jEQeC3YVlOOYSXQx7YYOMvM2gTOSg0B3qnmPtVYgZqiGcBa59xTYe3NwhYbAATvtH0HGBK4Q7YNcBbwTeCS7gEzuyCwzZuBOWHrBO+UvR74NPifw6nOzOqZWf3gc/w3Cq2iaExuoWisFN/IFTnjoeO3UlTFMfshcIWZNQhcYr8i0HbKM7OrgIlAf+fcobD2xmbmDTw/HX98Nyu+kami74RaG98wlwHrnHOh0owacwyX507D2v4A+uEfTWIT8GB196cmP4CL8F/+WAEsCzz6AS8DKwPt7wDNwtZ5MBDb9QTumA20d8P/pbQJmM4vE//E4b+0vhH/HbenV/fnrsL4no7/Du/lwOrg8Yi/lusTYEPgZ7LiW+EY1wWygMSwNh2/xxfTWfgvuxbgP+NzW1Uds/jrfzcGHsOrOxZVGN+N+Gs7g9/DwREIfhP47lgOLAWuUXwrFN8q+U6oDfEtLcaB9pnAqGLL1ohjWDMRioiIiIhEQCUcIiIiIiIRUAItIiIiIhIBJdAiIiIiIhFQAi0iIiIiEgEl0CIiIiIiEVACLSJSjcysoZktCzx2mllG2OuYEpZPNrNR5dhulJntq+j6ZWz3XjOLq+j6IiKnAg1jJyJSQ5jZZOCgc25aGcucCcx2zqUdY1tRwB7nXFJF1i9ju9uBDs65o5JzEZHaQmegRURqKDObYGarAo+7A81PAGcHzlA/YWYJZvapmS01sxVmdvUxNltk/cB+7jezbwLrTwq01TezD8xseWD/15vZfwIpwJdm9nHgLPfLZrYysMyYyoqFiEhNElXdHRARkaOZ2fnAMOB8wAt8Y2bzgPuBM4NnkM0sGrjWOXfAzFKA+cC/yth08fX7Aa2A7oAB75vZhUBLYItzrm9guUTn3H4zGwf0cs7tM7PuQCPnXMfAMkkl7E9E5JSjM9AiIjVTL+AN59wh59wB4G3gohKWM2CKma0A5gItzaxRBPu5AugLfId/Wtwzgbb4pyi+KnCWu6dzbn8J627Efzb7f8zsSqCkZURETjk6Ay0iUjNZOZe7GUgEujrnjgRqlCO5yc+AR51zM456w6wb0A/4o5n9yzn3ePj7zrksM+uEPwEfA/wGuCOCfYuInJR0BlpEpGb6AhhgZnXMLB64FvgSOADUD1suEdgVSJ4vB5ofY7vF1/8QuM3M6gGYWQsza2RmzfHf0Pgy8BTQtfj6ZtYY/83o/wQeDltGROSUpjPQIiI1kHPuGzObBSwOND3vnFsJYGZLzGwl8B7+5PZdM1uCvwRjwzG2mxm+vnPufjNrBywyM/AnyEOB9sATZuYD8oHg0Hd/AT42s23ABGCG+Vd0wMQT9flFRGoyDWMnIiIiIhIBlXCIiIiIiERACbSIiIiISASUQIuIiIiIREAJtIiIiIhIBJRAi4iIiIhEQAm0iIiIiEgElECLiIiIiERACbSIiIiISAT+D4fB9YqwqhyFAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"lplot = latest.plot(\n",
" x='total',\n",
" y='posrate',\n",
" kind='scatter',\n",
" title='Positive test rate',\n",
" figsize=(12,8)\n",
")\n",
"plt.xlabel('Total tests')\n",
"plt.ylabel('Proportion positive')\n",
"for i in range(len(latest)):\n",
" try:\n",
" row = latest.loc[i]\n",
" lplot.annotate(row['state'], (row['total'], row['posrate']))\n",
" print(row['state'], row['total'], row['posrate'])\n",
" except KeyError:\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/home/leon/Covid-19/SCPRC-EST2019-18+POP-RES.csv',\n",
" '/home/leon/Covid-19/state_abbreviations.csv']"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"state_pop_file = os.path.abspath(os.path.join(\n",
" covid19_dir,\n",
" os.pardir,\n",
" state_populations\n",
"))\n",
"state_abb_file = os.path.abspath(os.path.join(\n",
" covid19_dir,\n",
" os.pardir,\n",
" state_abbreviations\n",
"))\n",
"[\n",
" state_pop_file,\n",
" state_abb_file\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" | \n",
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" REGION | \n",
" DIVISION | \n",
" STATE | \n",
" POPESTIMATE2019 | \n",
" POPEST18PLUS2019 | \n",
" PCNT_POPEST18PLUS | \n",
"
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" | \n",
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" 19 | \n",
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" 40 | \n",
" 4 | \n",
" 9 | \n",
" 53 | \n",
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" 76.9 | \n",
"
\n",
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\n",
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],
"text/plain": [
" SUMLEV REGION DIVISION STATE POPESTIMATE2019 \\\n",
"Abbreviation \n",
"AL 40 3 6 1 4903185 \n",
"AK 40 4 9 2 731545 \n",
"AZ 40 4 8 4 7278717 \n",
"AR 40 3 7 5 3017804 \n",
"CA 40 4 9 6 39512223 \n",
"CO 40 4 8 8 5758736 \n",
"CT 40 1 1 9 3565287 \n",
"DE 40 3 5 10 973764 \n",
"DC 40 3 5 11 705749 \n",
"FL 40 3 5 12 21477737 \n",
"GA 40 3 5 13 10617423 \n",
"HI 40 4 9 15 1415872 \n",
"ID 40 4 8 16 1787065 \n",
"IL 40 2 3 17 12671821 \n",
"IN 40 2 3 18 6732219 \n",
"IA 40 2 4 19 3155070 \n",
"KS 40 2 4 20 2913314 \n",
"KY 40 3 6 21 4467673 \n",
"LA 40 3 7 22 4648794 \n",
"ME 40 1 1 23 1344212 \n",
"MD 40 3 5 24 6045680 \n",
"MA 40 1 1 25 6892503 \n",
"MI 40 2 3 26 9986857 \n",
"MN 40 2 4 27 5639632 \n",
"MS 40 3 6 28 2976149 \n",
"MO 40 2 4 29 6137428 \n",
"MT 40 4 8 30 1068778 \n",
"NE 40 2 4 31 1934408 \n",
"NV 40 4 8 32 3080156 \n",
"NH 40 1 1 33 1359711 \n",
"NJ 40 1 2 34 8882190 \n",
"NM 40 4 8 35 2096829 \n",
"NY 40 1 2 36 19453561 \n",
"NC 40 3 5 37 10488084 \n",
"ND 40 2 4 38 762062 \n",
"OH 40 2 3 39 11689100 \n",
"OK 40 3 7 40 3956971 \n",
"OR 40 4 9 41 4217737 \n",
"PA 40 1 2 42 12801989 \n",
"RI 40 1 1 44 1059361 \n",
"SC 40 3 5 45 5148714 \n",
"SD 40 2 4 46 884659 \n",
"TN 40 3 6 47 6829174 \n",
"TX 40 3 7 48 28995881 \n",
"UT 40 4 8 49 3205958 \n",
"VT 40 1 1 50 623989 \n",
"VA 40 3 5 51 8535519 \n",
"WA 40 4 9 53 7614893 \n",
"WV 40 3 5 54 1792147 \n",
"WI 40 2 3 55 5822434 \n",
"WY 40 4 8 56 578759 \n",
"\n",
" POPEST18PLUS2019 PCNT_POPEST18PLUS \n",
"Abbreviation \n",
"AL 3814879 77.8 \n",
"AK 551562 75.4 \n",
"AZ 5638481 77.5 \n",
"AR 2317649 76.8 \n",
"CA 30617582 77.5 \n",
"CO 4499217 78.1 \n",
"CT 2837847 79.6 \n",
"DE 770192 79.1 \n",
"DC 577581 81.8 \n",
"FL 17247808 80.3 \n",
"GA 8113542 76.4 \n",
"HI 1116004 78.8 \n",
"ID 1338864 74.9 \n",
"IL 9853946 77.8 \n",
"IN 5164245 76.7 \n",
"IA 2428229 77.0 \n",
"KS 2213064 76.0 \n",
"KY 3464802 77.6 \n",
"LA 3561164 76.6 \n",
"ME 1095370 81.5 \n",
"MD 4710993 77.9 \n",
"MA 5539703 80.4 \n",
"MI 7842924 78.5 \n",
"MN 4336475 76.9 \n",
"MS 2277566 76.5 \n",
"MO 4766843 77.7 \n",
"MT 840190 78.6 \n",
"NE 1458334 75.4 \n",
"NV 2387517 77.5 \n",
"NH 1104458 81.2 \n",
"NJ 6943612 78.2 \n",
"NM 1620991 77.3 \n",
"NY 15425262 79.3 \n",
"NC 8187369 78.1 \n",
"ND 581891 76.4 \n",
"OH 9111081 77.9 \n",
"OK 3004733 75.9 \n",
"OR 3351175 79.5 \n",
"PA 10167376 79.4 \n",
"RI 854866 80.7 \n",
"SC 4037531 78.4 \n",
"SD 667558 75.5 \n",
"TN 5319123 77.9 \n",
"TX 21596071 74.5 \n",
"UT 2274774 71.0 \n",
"VT 509984 81.7 \n",
"VA 6674671 78.2 \n",
"WA 5951832 78.2 \n",
"WV 1432580 79.9 \n",
"WI 4555837 78.2 \n",
"WY 445025 76.9 "
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"state_pops = pd.read_csv(state_pop_file)\n",
"state_abbs = pd.read_csv(state_abb_file)\n",
"state_pops.set_index('NAME', inplace=True)\n",
"state_abbs.set_index('State', inplace=True)\n",
"state_pops_with_abbs = state_pops.join(state_abbs, how='inner')\n",
"state_pops_with_abbs.set_index('Abbreviation', inplace=True)\n",
"state_pops_with_abbs"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" | \n",
" date | \n",
" positive | \n",
" negative | \n",
" pending | \n",
" hospitalized | \n",
" death | \n",
" total | \n",
" hash | \n",
" dateChecked | \n",
" totalTestResults | \n",
" fips | \n",
" deathIncrease | \n",
" hospitalizedIncrease | \n",
" negativeIncrease | \n",
" positiveIncrease | \n",
" totalTestResultsIncrease | \n",
" posrate | \n",
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" 4990 | \n",
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" 4990 | \n",
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" 110.0 | \n",
" 110.0 | \n",
" 0.161523 | \n",
"
\n",
" \n",
" AR | \n",
" 20200329 | \n",
" 426.0 | \n",
" 3027.0 | \n",
" NaN | \n",
" 48.0 | \n",
" 6.0 | \n",
" 3453 | \n",
" 2c8ed5059d37cc0aa0d20f4f3066a64db930c6c5 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3453 | \n",
" 05 | \n",
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" 111.0 | \n",
" 0.123371 | \n",
"
\n",
" \n",
" AZ | \n",
" 20200329 | \n",
" 919.0 | \n",
" 12953.0 | \n",
" NaN | \n",
" 78.0 | \n",
" 17.0 | \n",
" 13872 | \n",
" 14deca609d3762fb4b92807785e2b9c7015661e6 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13872 | \n",
" 04 | \n",
" 2.0 | \n",
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" 5498.0 | \n",
" 46.0 | \n",
" 5544.0 | \n",
" 0.066249 | \n",
"
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" \n",
" CA | \n",
" 20200329 | \n",
" 5708.0 | \n",
" 20549.0 | \n",
" 64400.0 | \n",
" 1034.0 | \n",
" 123.0 | \n",
" 90657 | \n",
" c364ec885909accfd4baf8e2d329903900870ba9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 26257 | \n",
" 06 | \n",
" 22.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1065.0 | \n",
" 1065.0 | \n",
" 0.062963 | \n",
"
\n",
" \n",
" CO | \n",
" 20200329 | \n",
" 2061.0 | \n",
" 11215.0 | \n",
" NaN | \n",
" 274.0 | \n",
" 44.0 | \n",
" 13276 | \n",
" 10769183d6c8ae4f67d7694c1e90e053315457ad | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13276 | \n",
" 08 | \n",
" 13.0 | \n",
" 35.0 | \n",
" 1273.0 | \n",
" 327.0 | \n",
" 1600.0 | \n",
" 0.155243 | \n",
"
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" \n",
" CT | \n",
" 20200329 | \n",
" 1993.0 | \n",
" 9907.0 | \n",
" NaN | \n",
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" 34.0 | \n",
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" 2020-03-29 20:00:00+00:00 | \n",
" 11900 | \n",
" 09 | \n",
" 7.0 | \n",
" 231.0 | \n",
" 2798.0 | \n",
" 702.0 | \n",
" 3500.0 | \n",
" 0.167479 | \n",
"
\n",
" \n",
" DC | \n",
" 20200329 | \n",
" 342.0 | \n",
" 2469.0 | \n",
" 1.0 | \n",
" NaN | \n",
" 5.0 | \n",
" 2812 | \n",
" 951af61bdce7b51bbfb818f7d11e3865a59e31ae | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2811 | \n",
" 11 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 258.0 | \n",
" 38.0 | \n",
" 296.0 | \n",
" 0.121622 | \n",
"
\n",
" \n",
" DE | \n",
" 20200329 | \n",
" 232.0 | \n",
" 36.0 | \n",
" NaN | \n",
" 33.0 | \n",
" 6.0 | \n",
" 268 | \n",
" ba8edd92448c4db2b977c3e519df1d6421968cd1 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 268 | \n",
" 10 | \n",
" 3.0 | \n",
" 2.0 | \n",
" 0.0 | \n",
" 18.0 | \n",
" 18.0 | \n",
" 0.865672 | \n",
"
\n",
" \n",
" FL | \n",
" 20200329 | \n",
" 4246.0 | \n",
" 39070.0 | \n",
" NaN | \n",
" 594.0 | \n",
" 56.0 | \n",
" 43316 | \n",
" 8ce3ce4c8ee42dd4925356994534079c50bc67ca | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 43316 | \n",
" 12 | \n",
" 2.0 | \n",
" 68.0 | \n",
" 3704.0 | \n",
" 483.0 | \n",
" 4187.0 | \n",
" 0.098024 | \n",
"
\n",
" \n",
" GA | \n",
" 20200329 | \n",
" 2651.0 | \n",
" 9913.0 | \n",
" NaN | \n",
" 666.0 | \n",
" 80.0 | \n",
" 12564 | \n",
" 7d692c3fbf28e3dbfdd58fc99dace80c1a9958d2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 12564 | \n",
" 13 | \n",
" 11.0 | \n",
" 49.0 | \n",
" 1228.0 | \n",
" 285.0 | \n",
" 1513.0 | \n",
" 0.211000 | \n",
"
\n",
" \n",
" GU | \n",
" 20200329 | \n",
" 56.0 | \n",
" 334.0 | \n",
" NaN | \n",
" 15.0 | \n",
" 1.0 | \n",
" 390 | \n",
" c375c6bdc73751dd51ba6d5889c9e84d53303510 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 390 | \n",
" 66 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 35.0 | \n",
" 1.0 | \n",
" 36.0 | \n",
" 0.143590 | \n",
"
\n",
" \n",
" HI | \n",
" 20200329 | \n",
" 151.0 | \n",
" 6849.0 | \n",
" 4.0 | \n",
" 12.0 | \n",
" 0.0 | \n",
" 7004 | \n",
" f9ea13c2d669a5af5e440577fd13339db609c58d | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 7000 | \n",
" 15 | \n",
" 0.0 | \n",
" 4.0 | \n",
" 2492.0 | \n",
" 31.0 | \n",
" 2523.0 | \n",
" 0.021559 | \n",
"
\n",
" \n",
" IA | \n",
" 20200329 | \n",
" 336.0 | \n",
" 5013.0 | \n",
" NaN | \n",
" 68.0 | \n",
" 4.0 | \n",
" 5349 | \n",
" 0e8a6c975f6cdda9eb1f68596e52293afbfba37e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 5349 | \n",
" 19 | \n",
" 1.0 | \n",
" 7.0 | \n",
" 638.0 | \n",
" 38.0 | \n",
" 676.0 | \n",
" 0.062815 | \n",
"
\n",
" \n",
" ID | \n",
" 20200329 | \n",
" 261.0 | \n",
" 4021.0 | \n",
" NaN | \n",
" 36.0 | \n",
" 5.0 | \n",
" 4282 | \n",
" e58918bfa4321b0a6884b02c3ff7761ec4778e6b | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4282 | \n",
" 16 | \n",
" 1.0 | \n",
" 11.0 | \n",
" 679.0 | \n",
" 31.0 | \n",
" 710.0 | \n",
" 0.060953 | \n",
"
\n",
" \n",
" IL | \n",
" 20200329 | \n",
" 4596.0 | \n",
" 23166.0 | \n",
" NaN | \n",
" NaN | \n",
" 65.0 | \n",
" 27762 | \n",
" e6e6b00bdc70ca71fc14b3056568dfc40097d750 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 27762 | \n",
" 17 | \n",
" 18.0 | \n",
" 0.0 | \n",
" 1166.0 | \n",
" 1105.0 | \n",
" 2271.0 | \n",
" 0.165550 | \n",
"
\n",
" \n",
" IN | \n",
" 20200329 | \n",
" 1514.0 | \n",
" 8316.0 | \n",
" NaN | \n",
" NaN | \n",
" 32.0 | \n",
" 9830 | \n",
" 659e4aad9785c14cf15e898f481aebda271e73e3 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 9830 | \n",
" 18 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 1141.0 | \n",
" 282.0 | \n",
" 1423.0 | \n",
" 0.154018 | \n",
"
\n",
" \n",
" KS | \n",
" 20200329 | \n",
" 319.0 | \n",
" 4194.0 | \n",
" NaN | \n",
" 55.0 | \n",
" 6.0 | \n",
" 4513 | \n",
" be3c8cd4ff2e10e3092723512f8ea5a03ec9d486 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4513 | \n",
" 20 | \n",
" 1.0 | \n",
" 28.0 | \n",
" 523.0 | \n",
" 58.0 | \n",
" 581.0 | \n",
" 0.070685 | \n",
"
\n",
" \n",
" KY | \n",
" 20200329 | \n",
" 394.0 | \n",
" 5147.0 | \n",
" NaN | \n",
" NaN | \n",
" 9.0 | \n",
" 5541 | \n",
" 563d46bc3630e17fd60499a2115df267a8645ae0 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 5541 | \n",
" 21 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 326.0 | \n",
" 92.0 | \n",
" 418.0 | \n",
" 0.071106 | \n",
"
\n",
" \n",
" LA | \n",
" 20200329 | \n",
" 3540.0 | \n",
" 24331.0 | \n",
" NaN | \n",
" 1127.0 | \n",
" 151.0 | \n",
" 27871 | \n",
" 38b4d0f6b224b46b63a1c01841b1d1385a2a3742 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 27871 | \n",
" 22 | \n",
" 14.0 | \n",
" 200.0 | \n",
" 2485.0 | \n",
" 225.0 | \n",
" 2710.0 | \n",
" 0.127014 | \n",
"
\n",
" \n",
" MA | \n",
" 20200329 | \n",
" 4955.0 | \n",
" 34111.0 | \n",
" NaN | \n",
" 399.0 | \n",
" 48.0 | \n",
" 39066 | \n",
" 85320d5eb34b32da6ffe44dfb937835574a335a1 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 39066 | \n",
" 25 | \n",
" 4.0 | \n",
" 49.0 | \n",
" 3319.0 | \n",
" 698.0 | \n",
" 4017.0 | \n",
" 0.126837 | \n",
"
\n",
" \n",
" MD | \n",
" 20200329 | \n",
" 1239.0 | \n",
" 12354.0 | \n",
" NaN | \n",
" 277.0 | \n",
" 10.0 | \n",
" 13593 | \n",
" b017ab05576951a20e7c57f1faf56b614bc443f1 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13593 | \n",
" 24 | \n",
" 5.0 | \n",
" 51.0 | \n",
" 838.0 | \n",
" 247.0 | \n",
" 1085.0 | \n",
" 0.091150 | \n",
"
\n",
" \n",
" ME | \n",
" 20200329 | \n",
" 253.0 | \n",
" 3394.0 | \n",
" NaN | \n",
" NaN | \n",
" 3.0 | \n",
" 3647 | \n",
" 2e6f8d654325315d3ff90837e0355efb83712cdb | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3647 | \n",
" 23 | \n",
" 2.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 42.0 | \n",
" 42.0 | \n",
" 0.069372 | \n",
"
\n",
" \n",
" MI | \n",
" 20200329 | \n",
" 5486.0 | \n",
" 11893.0 | \n",
" NaN | \n",
" NaN | \n",
" 132.0 | \n",
" 17379 | \n",
" 25fd0b3fada36382067e735f2ea785fcbb58376a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17379 | \n",
" 26 | \n",
" 40.0 | \n",
" 0.0 | \n",
" 2784.0 | \n",
" 1829.0 | \n",
" 4613.0 | \n",
" 0.315668 | \n",
"
\n",
" \n",
" MN | \n",
" 20200329 | \n",
" 503.0 | \n",
" 17154.0 | \n",
" NaN | \n",
" 75.0 | \n",
" 9.0 | \n",
" 17657 | \n",
" a7684a9182a0b32142849036fecf82ec7701d8a3 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17657 | \n",
" 27 | \n",
" 4.0 | \n",
" 18.0 | \n",
" 1466.0 | \n",
" 62.0 | \n",
" 1528.0 | \n",
" 0.028487 | \n",
"
\n",
" \n",
" MO | \n",
" 20200329 | \n",
" 838.0 | \n",
" 11547.0 | \n",
" NaN | \n",
" NaN | \n",
" 10.0 | \n",
" 12385 | \n",
" 228bc579fa237f56c7e55fd2dd8f9bfe9d410b20 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 12385 | \n",
" 29 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1465.0 | \n",
" 0.0 | \n",
" 1465.0 | \n",
" 0.067662 | \n",
"
\n",
" \n",
" MP | \n",
" 20200329 | \n",
" 2.0 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" 8499fa1ff060f43b78b442e20c46c95495534385 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2 | \n",
" 69 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.000000 | \n",
"
\n",
" \n",
" MS | \n",
" 20200329 | \n",
" 758.0 | \n",
" 2560.0 | \n",
" NaN | \n",
" 235.0 | \n",
" 14.0 | \n",
" 3318 | \n",
" daa6037b61ae96e6c2526a155139e7e732cd0368 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3318 | \n",
" 28 | \n",
" 1.0 | \n",
" 16.0 | \n",
" 0.0 | \n",
" 95.0 | \n",
" 95.0 | \n",
" 0.228451 | \n",
"
\n",
" \n",
" MT | \n",
" 20200329 | \n",
" 154.0 | \n",
" 4143.0 | \n",
" NaN | \n",
" 8.0 | \n",
" 1.0 | \n",
" 4297 | \n",
" d071e5b6a217a1d7bc9f1020995fa9c92a50d0ee | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4297 | \n",
" 30 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 887.0 | \n",
" 25.0 | \n",
" 912.0 | \n",
" 0.035839 | \n",
"
\n",
" \n",
" NC | \n",
" 20200329 | \n",
" 1040.0 | \n",
" 17905.0 | \n",
" NaN | \n",
" 91.0 | \n",
" 4.0 | \n",
" 18945 | \n",
" 94c103bb6dc3385d5a5f366a0913180f83223df8 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 18945 | \n",
" 37 | \n",
" 0.0 | \n",
" 4.0 | \n",
" 1313.0 | \n",
" 105.0 | \n",
" 1418.0 | \n",
" 0.054896 | \n",
"
\n",
" \n",
" ND | \n",
" 20200329 | \n",
" 98.0 | \n",
" 3355.0 | \n",
" NaN | \n",
" 17.0 | \n",
" 1.0 | \n",
" 3453 | \n",
" 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3453 | \n",
" 38 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 546.0 | \n",
" 15.0 | \n",
" 561.0 | \n",
" 0.028381 | \n",
"
\n",
" \n",
" NE | \n",
" 20200329 | \n",
" 108.0 | \n",
" 1968.0 | \n",
" 4.0 | \n",
" NaN | \n",
" 2.0 | \n",
" 2080 | \n",
" 44e85c9c9b448faa6a1b8a6af39c84820610bff0 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2076 | \n",
" 31 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 64.0 | \n",
" 12.0 | \n",
" 76.0 | \n",
" 0.051923 | \n",
"
\n",
" \n",
" NH | \n",
" 20200329 | \n",
" 214.0 | \n",
" 4524.0 | \n",
" 285.0 | \n",
" 33.0 | \n",
" 2.0 | \n",
" 5023 | \n",
" 5602e725da5424f5efebbaa8e3b8ac7c71a21d53 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4738 | \n",
" 33 | \n",
" 0.0 | \n",
" 3.0 | \n",
" 868.0 | \n",
" 27.0 | \n",
" 895.0 | \n",
" 0.042604 | \n",
"
\n",
" \n",
" NJ | \n",
" 20200329 | \n",
" 13386.0 | \n",
" 22216.0 | \n",
" NaN | \n",
" NaN | \n",
" 161.0 | \n",
" 35602 | \n",
" 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 35602 | \n",
" 34 | \n",
" 21.0 | \n",
" 0.0 | \n",
" 2830.0 | \n",
" 2262.0 | \n",
" 5092.0 | \n",
" 0.375990 | \n",
"
\n",
" \n",
" NM | \n",
" 20200329 | \n",
" 237.0 | \n",
" 10769.0 | \n",
" NaN | \n",
" 19.0 | \n",
" 2.0 | \n",
" 11006 | \n",
" c76b9199e33fb36ea9e9509cce54c2ad94146dfd | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11006 | \n",
" 35 | \n",
" 1.0 | \n",
" 2.0 | \n",
" 1573.0 | \n",
" 46.0 | \n",
" 1619.0 | \n",
" 0.021534 | \n",
"
\n",
" \n",
" NV | \n",
" 20200329 | \n",
" 738.0 | \n",
" 8412.0 | \n",
" NaN | \n",
" NaN | \n",
" 14.0 | \n",
" 9150 | \n",
" d0408e54d643518f6c0b61bd367061c20ea69327 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 9150 | \n",
" 32 | \n",
" 4.0 | \n",
" 0.0 | \n",
" 511.0 | \n",
" 117.0 | \n",
" 628.0 | \n",
" 0.080656 | \n",
"
\n",
" \n",
" NY | \n",
" 20200329 | \n",
" 59513.0 | \n",
" 112847.0 | \n",
" NaN | \n",
" 12075.0 | \n",
" 965.0 | \n",
" 172360 | \n",
" ba807849425122f97cff754bfca452232a1e75ce | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 172360 | \n",
" 36 | \n",
" 237.0 | \n",
" 2021.0 | \n",
" 9231.0 | \n",
" 7195.0 | \n",
" 16426.0 | \n",
" 0.345283 | \n",
"
\n",
" \n",
" OH | \n",
" 20200329 | \n",
" 1653.0 | \n",
" 19012.0 | \n",
" NaN | \n",
" 403.0 | \n",
" 29.0 | \n",
" 20665 | \n",
" bf97498f0e2f4741137db5392baa1abf5648979f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20665 | \n",
" 39 | \n",
" 4.0 | \n",
" 59.0 | \n",
" 0.0 | \n",
" 247.0 | \n",
" 247.0 | \n",
" 0.079990 | \n",
"
\n",
" \n",
" OK | \n",
" 20200329 | \n",
" 429.0 | \n",
" 1205.0 | \n",
" NaN | \n",
" 140.0 | \n",
" 16.0 | \n",
" 1634 | \n",
" 43ef7985bd9555698d09d6a950875ade320286df | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1634 | \n",
" 40 | \n",
" 1.0 | \n",
" 14.0 | \n",
" 25.0 | \n",
" 52.0 | \n",
" 77.0 | \n",
" 0.262546 | \n",
"
\n",
" \n",
" OR | \n",
" 20200329 | \n",
" 548.0 | \n",
" 10878.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 13.0 | \n",
" 11426 | \n",
" ec860456b55d5a18391c8cbf2748ea02bf908fd2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11426 | \n",
" 41 | \n",
" 0.0 | \n",
" 12.0 | \n",
" 1185.0 | \n",
" 69.0 | \n",
" 1254.0 | \n",
" 0.047961 | \n",
"
\n",
" \n",
" PA | \n",
" 20200329 | \n",
" 3394.0 | \n",
" 30061.0 | \n",
" NaN | \n",
" 682.0 | \n",
" 38.0 | \n",
" 33455 | \n",
" ad1df7816ad6d19a996749d630bc38345291f26e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 33455 | \n",
" 42 | \n",
" 4.0 | \n",
" 0.0 | \n",
" 4807.0 | \n",
" 643.0 | \n",
" 5450.0 | \n",
" 0.101450 | \n",
"
\n",
" \n",
" PR | \n",
" 20200329 | \n",
" 127.0 | \n",
" 841.0 | \n",
" 817.0 | \n",
" NaN | \n",
" 5.0 | \n",
" 1785 | \n",
" 5b8d867a604216d7e456141b6f80f93183e22f2c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 968 | \n",
" 72 | \n",
" 2.0 | \n",
" 0.0 | \n",
" 102.0 | \n",
" 27.0 | \n",
" 129.0 | \n",
" 0.071148 | \n",
"
\n",
" \n",
" RI | \n",
" 20200329 | \n",
" 294.0 | \n",
" 2541.0 | \n",
" NaN | \n",
" 35.0 | \n",
" 3.0 | \n",
" 2835 | \n",
" a4d42dba093e9b91662dc7547081bffbecd06bef | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2835 | \n",
" 44 | \n",
" 3.0 | \n",
" 7.0 | \n",
" 235.0 | \n",
" 91.0 | \n",
" 326.0 | \n",
" 0.103704 | \n",
"
\n",
" \n",
" SC | \n",
" 20200329 | \n",
" 774.0 | \n",
" 3015.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 16.0 | \n",
" 3789 | \n",
" b85a9aaa3da2d62f633714b4d08f409109f52bb4 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3789 | \n",
" 45 | \n",
" 3.0 | \n",
" 0.0 | \n",
" 607.0 | \n",
" 235.0 | \n",
" 842.0 | \n",
" 0.204276 | \n",
"
\n",
" \n",
" SD | \n",
" 20200329 | \n",
" 90.0 | \n",
" 3127.0 | \n",
" 1.0 | \n",
" NaN | \n",
" 1.0 | \n",
" 3218 | \n",
" 2ecdd93c12093321637eb882b51f779ef2269d3a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3217 | \n",
" 46 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 535.0 | \n",
" 22.0 | \n",
" 557.0 | \n",
" 0.027968 | \n",
"
\n",
" \n",
" TN | \n",
" 20200329 | \n",
" 1537.0 | \n",
" 19037.0 | \n",
" NaN | \n",
" 133.0 | \n",
" 7.0 | \n",
" 20574 | \n",
" c928e23a1549ab46b5a78ea8b86ea8fa727ca05f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20574 | \n",
" 47 | \n",
" 1.0 | \n",
" 15.0 | \n",
" 2072.0 | \n",
" 164.0 | \n",
" 2236.0 | \n",
" 0.074706 | \n",
"
\n",
" \n",
" TX | \n",
" 20200329 | \n",
" 2552.0 | \n",
" 23208.0 | \n",
" NaN | \n",
" NaN | \n",
" 34.0 | \n",
" 25760 | \n",
" 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 25760 | \n",
" 48 | \n",
" 7.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 500.0 | \n",
" 500.0 | \n",
" 0.099068 | \n",
"
\n",
" \n",
" UT | \n",
" 20200329 | \n",
" 719.0 | \n",
" 13274.0 | \n",
" NaN | \n",
" NaN | \n",
" 2.0 | \n",
" 13993 | \n",
" 7da47dee17adc7161be7aeefa3d507b3bc735edf | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13993 | \n",
" 49 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 2564.0 | \n",
" 117.0 | \n",
" 2681.0 | \n",
" 0.051383 | \n",
"
\n",
" \n",
" VA | \n",
" 20200329 | \n",
" 890.0 | \n",
" 9719.0 | \n",
" NaN | \n",
" 112.0 | \n",
" 22.0 | \n",
" 10609 | \n",
" 66ebeae58d1a5e123904bd7f39d840dbe24449c2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 10609 | \n",
" 51 | \n",
" 5.0 | \n",
" 13.0 | \n",
" 1292.0 | \n",
" 151.0 | \n",
" 1443.0 | \n",
" 0.083891 | \n",
"
\n",
" \n",
" VI | \n",
" 20200329 | \n",
" 23.0 | \n",
" 123.0 | \n",
" 37.0 | \n",
" NaN | \n",
" NaN | \n",
" 183 | \n",
" 15a59f27f2acd69bd9c1e95a02de01c044339d2f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 146 | \n",
" 78 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 17.0 | \n",
" 1.0 | \n",
" 18.0 | \n",
" 0.125683 | \n",
"
\n",
" \n",
" VT | \n",
" 20200329 | \n",
" 235.0 | \n",
" 3466.0 | \n",
" NaN | \n",
" 18.0 | \n",
" 12.0 | \n",
" 3701 | \n",
" 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3701 | \n",
" 50 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1303.0 | \n",
" 24.0 | \n",
" 1327.0 | \n",
" 0.063496 | \n",
"
\n",
" \n",
" WA | \n",
" 20200329 | \n",
" 4310.0 | \n",
" 54896.0 | \n",
" NaN | \n",
" 254.0 | \n",
" 189.0 | \n",
" 59206 | \n",
" 02bb082a97f1ddda79562a855dd090e632e2e5e9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 59206 | \n",
" 53 | \n",
" 14.0 | \n",
" 0.0 | \n",
" 5881.0 | \n",
" 587.0 | \n",
" 6468.0 | \n",
" 0.072797 | \n",
"
\n",
" \n",
" WI | \n",
" 20200329 | \n",
" 1112.0 | \n",
" 16550.0 | \n",
" NaN | \n",
" NaN | \n",
" 13.0 | \n",
" 17662 | \n",
" 2cd5d65e6cf10a667f00fe96ffd78eb850713129 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17662 | \n",
" 55 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1318.0 | \n",
" 123.0 | \n",
" 1441.0 | \n",
" 0.062960 | \n",
"
\n",
" \n",
" WV | \n",
" 20200329 | \n",
" 113.0 | \n",
" 2705.0 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 2818 | \n",
" 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2818 | \n",
" 54 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 374.0 | \n",
" 17.0 | \n",
" 391.0 | \n",
" 0.040099 | \n",
"
\n",
" \n",
" WY | \n",
" 20200329 | \n",
" 86.0 | \n",
" 1554.0 | \n",
" NaN | \n",
" 15.0 | \n",
" 0.0 | \n",
" 1640 | \n",
" e6365afc2c29afd4168c8d82cd57312427281140 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1640 | \n",
" 56 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 79.0 | \n",
" 4.0 | \n",
" 83.0 | \n",
" 0.052439 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" date positive negative pending hospitalized death total \\\n",
"state \n",
"AK 20200329 102.0 3232.0 NaN 6.0 2.0 3334 \n",
"AL 20200329 806.0 4184.0 NaN NaN 4.0 4990 \n",
"AR 20200329 426.0 3027.0 NaN 48.0 6.0 3453 \n",
"AZ 20200329 919.0 12953.0 NaN 78.0 17.0 13872 \n",
"CA 20200329 5708.0 20549.0 64400.0 1034.0 123.0 90657 \n",
"CO 20200329 2061.0 11215.0 NaN 274.0 44.0 13276 \n",
"CT 20200329 1993.0 9907.0 NaN 404.0 34.0 11900 \n",
"DC 20200329 342.0 2469.0 1.0 NaN 5.0 2812 \n",
"DE 20200329 232.0 36.0 NaN 33.0 6.0 268 \n",
"FL 20200329 4246.0 39070.0 NaN 594.0 56.0 43316 \n",
"GA 20200329 2651.0 9913.0 NaN 666.0 80.0 12564 \n",
"GU 20200329 56.0 334.0 NaN 15.0 1.0 390 \n",
"HI 20200329 151.0 6849.0 4.0 12.0 0.0 7004 \n",
"IA 20200329 336.0 5013.0 NaN 68.0 4.0 5349 \n",
"ID 20200329 261.0 4021.0 NaN 36.0 5.0 4282 \n",
"IL 20200329 4596.0 23166.0 NaN NaN 65.0 27762 \n",
"IN 20200329 1514.0 8316.0 NaN NaN 32.0 9830 \n",
"KS 20200329 319.0 4194.0 NaN 55.0 6.0 4513 \n",
"KY 20200329 394.0 5147.0 NaN NaN 9.0 5541 \n",
"LA 20200329 3540.0 24331.0 NaN 1127.0 151.0 27871 \n",
"MA 20200329 4955.0 34111.0 NaN 399.0 48.0 39066 \n",
"MD 20200329 1239.0 12354.0 NaN 277.0 10.0 13593 \n",
"ME 20200329 253.0 3394.0 NaN NaN 3.0 3647 \n",
"MI 20200329 5486.0 11893.0 NaN NaN 132.0 17379 \n",
"MN 20200329 503.0 17154.0 NaN 75.0 9.0 17657 \n",
"MO 20200329 838.0 11547.0 NaN NaN 10.0 12385 \n",
"MP 20200329 2.0 NaN NaN NaN NaN 2 \n",
"MS 20200329 758.0 2560.0 NaN 235.0 14.0 3318 \n",
"MT 20200329 154.0 4143.0 NaN 8.0 1.0 4297 \n",
"NC 20200329 1040.0 17905.0 NaN 91.0 4.0 18945 \n",
"ND 20200329 98.0 3355.0 NaN 17.0 1.0 3453 \n",
"NE 20200329 108.0 1968.0 4.0 NaN 2.0 2080 \n",
"NH 20200329 214.0 4524.0 285.0 33.0 2.0 5023 \n",
"NJ 20200329 13386.0 22216.0 NaN NaN 161.0 35602 \n",
"NM 20200329 237.0 10769.0 NaN 19.0 2.0 11006 \n",
"NV 20200329 738.0 8412.0 NaN NaN 14.0 9150 \n",
"NY 20200329 59513.0 112847.0 NaN 12075.0 965.0 172360 \n",
"OH 20200329 1653.0 19012.0 NaN 403.0 29.0 20665 \n",
"OK 20200329 429.0 1205.0 NaN 140.0 16.0 1634 \n",
"OR 20200329 548.0 10878.0 NaN 129.0 13.0 11426 \n",
"PA 20200329 3394.0 30061.0 NaN 682.0 38.0 33455 \n",
"PR 20200329 127.0 841.0 817.0 NaN 5.0 1785 \n",
"RI 20200329 294.0 2541.0 NaN 35.0 3.0 2835 \n",
"SC 20200329 774.0 3015.0 NaN 129.0 16.0 3789 \n",
"SD 20200329 90.0 3127.0 1.0 NaN 1.0 3218 \n",
"TN 20200329 1537.0 19037.0 NaN 133.0 7.0 20574 \n",
"TX 20200329 2552.0 23208.0 NaN NaN 34.0 25760 \n",
"UT 20200329 719.0 13274.0 NaN NaN 2.0 13993 \n",
"VA 20200329 890.0 9719.0 NaN 112.0 22.0 10609 \n",
"VI 20200329 23.0 123.0 37.0 NaN NaN 183 \n",
"VT 20200329 235.0 3466.0 NaN 18.0 12.0 3701 \n",
"WA 20200329 4310.0 54896.0 NaN 254.0 189.0 59206 \n",
"WI 20200329 1112.0 16550.0 NaN NaN 13.0 17662 \n",
"WV 20200329 113.0 2705.0 0.0 1.0 0.0 2818 \n",
"WY 20200329 86.0 1554.0 NaN 15.0 0.0 1640 \n",
"\n",
" hash dateChecked \\\n",
"state \n",
"AK d4c0789e67f59e98176a9ea96200ed348161c6d4 2020-03-29 20:00:00+00:00 \n",
"AL 9dbf0b598d35897b1f6857899d0a834990f4ec51 2020-03-29 20:00:00+00:00 \n",
"AR 2c8ed5059d37cc0aa0d20f4f3066a64db930c6c5 2020-03-29 20:00:00+00:00 \n",
"AZ 14deca609d3762fb4b92807785e2b9c7015661e6 2020-03-29 20:00:00+00:00 \n",
"CA c364ec885909accfd4baf8e2d329903900870ba9 2020-03-29 20:00:00+00:00 \n",
"CO 10769183d6c8ae4f67d7694c1e90e053315457ad 2020-03-29 20:00:00+00:00 \n",
"CT a2fc8b02ed8f3a41030ae22ddb222af3d3c53a8e 2020-03-29 20:00:00+00:00 \n",
"DC 951af61bdce7b51bbfb818f7d11e3865a59e31ae 2020-03-29 20:00:00+00:00 \n",
"DE ba8edd92448c4db2b977c3e519df1d6421968cd1 2020-03-29 20:00:00+00:00 \n",
"FL 8ce3ce4c8ee42dd4925356994534079c50bc67ca 2020-03-29 20:00:00+00:00 \n",
"GA 7d692c3fbf28e3dbfdd58fc99dace80c1a9958d2 2020-03-29 20:00:00+00:00 \n",
"GU c375c6bdc73751dd51ba6d5889c9e84d53303510 2020-03-29 20:00:00+00:00 \n",
"HI f9ea13c2d669a5af5e440577fd13339db609c58d 2020-03-29 20:00:00+00:00 \n",
"IA 0e8a6c975f6cdda9eb1f68596e52293afbfba37e 2020-03-29 20:00:00+00:00 \n",
"ID e58918bfa4321b0a6884b02c3ff7761ec4778e6b 2020-03-29 20:00:00+00:00 \n",
"IL e6e6b00bdc70ca71fc14b3056568dfc40097d750 2020-03-29 20:00:00+00:00 \n",
"IN 659e4aad9785c14cf15e898f481aebda271e73e3 2020-03-29 20:00:00+00:00 \n",
"KS be3c8cd4ff2e10e3092723512f8ea5a03ec9d486 2020-03-29 20:00:00+00:00 \n",
"KY 563d46bc3630e17fd60499a2115df267a8645ae0 2020-03-29 20:00:00+00:00 \n",
"LA 38b4d0f6b224b46b63a1c01841b1d1385a2a3742 2020-03-29 20:00:00+00:00 \n",
"MA 85320d5eb34b32da6ffe44dfb937835574a335a1 2020-03-29 20:00:00+00:00 \n",
"MD b017ab05576951a20e7c57f1faf56b614bc443f1 2020-03-29 20:00:00+00:00 \n",
"ME 2e6f8d654325315d3ff90837e0355efb83712cdb 2020-03-29 20:00:00+00:00 \n",
"MI 25fd0b3fada36382067e735f2ea785fcbb58376a 2020-03-29 20:00:00+00:00 \n",
"MN a7684a9182a0b32142849036fecf82ec7701d8a3 2020-03-29 20:00:00+00:00 \n",
"MO 228bc579fa237f56c7e55fd2dd8f9bfe9d410b20 2020-03-29 20:00:00+00:00 \n",
"MP 8499fa1ff060f43b78b442e20c46c95495534385 2020-03-29 20:00:00+00:00 \n",
"MS daa6037b61ae96e6c2526a155139e7e732cd0368 2020-03-29 20:00:00+00:00 \n",
"MT d071e5b6a217a1d7bc9f1020995fa9c92a50d0ee 2020-03-29 20:00:00+00:00 \n",
"NC 94c103bb6dc3385d5a5f366a0913180f83223df8 2020-03-29 20:00:00+00:00 \n",
"ND 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 2020-03-29 20:00:00+00:00 \n",
"NE 44e85c9c9b448faa6a1b8a6af39c84820610bff0 2020-03-29 20:00:00+00:00 \n",
"NH 5602e725da5424f5efebbaa8e3b8ac7c71a21d53 2020-03-29 20:00:00+00:00 \n",
"NJ 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 2020-03-29 20:00:00+00:00 \n",
"NM c76b9199e33fb36ea9e9509cce54c2ad94146dfd 2020-03-29 20:00:00+00:00 \n",
"NV d0408e54d643518f6c0b61bd367061c20ea69327 2020-03-29 20:00:00+00:00 \n",
"NY ba807849425122f97cff754bfca452232a1e75ce 2020-03-29 20:00:00+00:00 \n",
"OH bf97498f0e2f4741137db5392baa1abf5648979f 2020-03-29 20:00:00+00:00 \n",
"OK 43ef7985bd9555698d09d6a950875ade320286df 2020-03-29 20:00:00+00:00 \n",
"OR ec860456b55d5a18391c8cbf2748ea02bf908fd2 2020-03-29 20:00:00+00:00 \n",
"PA ad1df7816ad6d19a996749d630bc38345291f26e 2020-03-29 20:00:00+00:00 \n",
"PR 5b8d867a604216d7e456141b6f80f93183e22f2c 2020-03-29 20:00:00+00:00 \n",
"RI a4d42dba093e9b91662dc7547081bffbecd06bef 2020-03-29 20:00:00+00:00 \n",
"SC b85a9aaa3da2d62f633714b4d08f409109f52bb4 2020-03-29 20:00:00+00:00 \n",
"SD 2ecdd93c12093321637eb882b51f779ef2269d3a 2020-03-29 20:00:00+00:00 \n",
"TN c928e23a1549ab46b5a78ea8b86ea8fa727ca05f 2020-03-29 20:00:00+00:00 \n",
"TX 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a 2020-03-29 20:00:00+00:00 \n",
"UT 7da47dee17adc7161be7aeefa3d507b3bc735edf 2020-03-29 20:00:00+00:00 \n",
"VA 66ebeae58d1a5e123904bd7f39d840dbe24449c2 2020-03-29 20:00:00+00:00 \n",
"VI 15a59f27f2acd69bd9c1e95a02de01c044339d2f 2020-03-29 20:00:00+00:00 \n",
"VT 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e 2020-03-29 20:00:00+00:00 \n",
"WA 02bb082a97f1ddda79562a855dd090e632e2e5e9 2020-03-29 20:00:00+00:00 \n",
"WI 2cd5d65e6cf10a667f00fe96ffd78eb850713129 2020-03-29 20:00:00+00:00 \n",
"WV 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c 2020-03-29 20:00:00+00:00 \n",
"WY e6365afc2c29afd4168c8d82cd57312427281140 2020-03-29 20:00:00+00:00 \n",
"\n",
" totalTestResults fips deathIncrease hospitalizedIncrease \\\n",
"state \n",
"AK 3334 02 0.0 1.0 \n",
"AL 4990 01 1.0 0.0 \n",
"AR 3453 05 1.0 0.0 \n",
"AZ 13872 04 2.0 78.0 \n",
"CA 26257 06 22.0 0.0 \n",
"CO 13276 08 13.0 35.0 \n",
"CT 11900 09 7.0 231.0 \n",
"DC 2811 11 1.0 0.0 \n",
"DE 268 10 3.0 2.0 \n",
"FL 43316 12 2.0 68.0 \n",
"GA 12564 13 11.0 49.0 \n",
"GU 390 66 0.0 0.0 \n",
"HI 7000 15 0.0 4.0 \n",
"IA 5349 19 1.0 7.0 \n",
"ID 4282 16 1.0 11.0 \n",
"IL 27762 17 18.0 0.0 \n",
"IN 9830 18 1.0 0.0 \n",
"KS 4513 20 1.0 28.0 \n",
"KY 5541 21 1.0 0.0 \n",
"LA 27871 22 14.0 200.0 \n",
"MA 39066 25 4.0 49.0 \n",
"MD 13593 24 5.0 51.0 \n",
"ME 3647 23 2.0 0.0 \n",
"MI 17379 26 40.0 0.0 \n",
"MN 17657 27 4.0 18.0 \n",
"MO 12385 29 0.0 0.0 \n",
"MP 2 69 0.0 0.0 \n",
"MS 3318 28 1.0 16.0 \n",
"MT 4297 30 0.0 1.0 \n",
"NC 18945 37 0.0 4.0 \n",
"ND 3453 38 0.0 1.0 \n",
"NE 2076 31 0.0 0.0 \n",
"NH 4738 33 0.0 3.0 \n",
"NJ 35602 34 21.0 0.0 \n",
"NM 11006 35 1.0 2.0 \n",
"NV 9150 32 4.0 0.0 \n",
"NY 172360 36 237.0 2021.0 \n",
"OH 20665 39 4.0 59.0 \n",
"OK 1634 40 1.0 14.0 \n",
"OR 11426 41 0.0 12.0 \n",
"PA 33455 42 4.0 0.0 \n",
"PR 968 72 2.0 0.0 \n",
"RI 2835 44 3.0 7.0 \n",
"SC 3789 45 3.0 0.0 \n",
"SD 3217 46 0.0 0.0 \n",
"TN 20574 47 1.0 15.0 \n",
"TX 25760 48 7.0 0.0 \n",
"UT 13993 49 0.0 0.0 \n",
"VA 10609 51 5.0 13.0 \n",
"VI 146 78 0.0 0.0 \n",
"VT 3701 50 0.0 0.0 \n",
"WA 59206 53 14.0 0.0 \n",
"WI 17662 55 0.0 0.0 \n",
"WV 2818 54 0.0 0.0 \n",
"WY 1640 56 0.0 1.0 \n",
"\n",
" negativeIncrease positiveIncrease totalTestResultsIncrease posrate \n",
"state \n",
"AK 396.0 17.0 413.0 0.030594 \n",
"AL 0.0 110.0 110.0 0.161523 \n",
"AR 89.0 22.0 111.0 0.123371 \n",
"AZ 5498.0 46.0 5544.0 0.066249 \n",
"CA 0.0 1065.0 1065.0 0.062963 \n",
"CO 1273.0 327.0 1600.0 0.155243 \n",
"CT 2798.0 702.0 3500.0 0.167479 \n",
"DC 258.0 38.0 296.0 0.121622 \n",
"DE 0.0 18.0 18.0 0.865672 \n",
"FL 3704.0 483.0 4187.0 0.098024 \n",
"GA 1228.0 285.0 1513.0 0.211000 \n",
"GU 35.0 1.0 36.0 0.143590 \n",
"HI 2492.0 31.0 2523.0 0.021559 \n",
"IA 638.0 38.0 676.0 0.062815 \n",
"ID 679.0 31.0 710.0 0.060953 \n",
"IL 1166.0 1105.0 2271.0 0.165550 \n",
"IN 1141.0 282.0 1423.0 0.154018 \n",
"KS 523.0 58.0 581.0 0.070685 \n",
"KY 326.0 92.0 418.0 0.071106 \n",
"LA 2485.0 225.0 2710.0 0.127014 \n",
"MA 3319.0 698.0 4017.0 0.126837 \n",
"MD 838.0 247.0 1085.0 0.091150 \n",
"ME 0.0 42.0 42.0 0.069372 \n",
"MI 2784.0 1829.0 4613.0 0.315668 \n",
"MN 1466.0 62.0 1528.0 0.028487 \n",
"MO 1465.0 0.0 1465.0 0.067662 \n",
"MP 0.0 0.0 0.0 1.000000 \n",
"MS 0.0 95.0 95.0 0.228451 \n",
"MT 887.0 25.0 912.0 0.035839 \n",
"NC 1313.0 105.0 1418.0 0.054896 \n",
"ND 546.0 15.0 561.0 0.028381 \n",
"NE 64.0 12.0 76.0 0.051923 \n",
"NH 868.0 27.0 895.0 0.042604 \n",
"NJ 2830.0 2262.0 5092.0 0.375990 \n",
"NM 1573.0 46.0 1619.0 0.021534 \n",
"NV 511.0 117.0 628.0 0.080656 \n",
"NY 9231.0 7195.0 16426.0 0.345283 \n",
"OH 0.0 247.0 247.0 0.079990 \n",
"OK 25.0 52.0 77.0 0.262546 \n",
"OR 1185.0 69.0 1254.0 0.047961 \n",
"PA 4807.0 643.0 5450.0 0.101450 \n",
"PR 102.0 27.0 129.0 0.071148 \n",
"RI 235.0 91.0 326.0 0.103704 \n",
"SC 607.0 235.0 842.0 0.204276 \n",
"SD 535.0 22.0 557.0 0.027968 \n",
"TN 2072.0 164.0 2236.0 0.074706 \n",
"TX 0.0 500.0 500.0 0.099068 \n",
"UT 2564.0 117.0 2681.0 0.051383 \n",
"VA 1292.0 151.0 1443.0 0.083891 \n",
"VI 17.0 1.0 18.0 0.125683 \n",
"VT 1303.0 24.0 1327.0 0.063496 \n",
"WA 5881.0 587.0 6468.0 0.072797 \n",
"WI 1318.0 123.0 1441.0 0.062960 \n",
"WV 374.0 17.0 391.0 0.040099 \n",
"WY 79.0 4.0 83.0 0.052439 "
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"latest_by_state = latest.set_index('state')\n",
"latest_by_state"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
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" NaN | \n",
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" 9830 | \n",
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" 5541 | \n",
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" 17379 | \n",
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" 12385 | \n",
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\n",
" \n",
" ND | \n",
" 20200329 | \n",
" 98.0 | \n",
" 3355.0 | \n",
" NaN | \n",
" 17.0 | \n",
" 1.0 | \n",
" 3453 | \n",
" 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3453 | \n",
" ... | \n",
" 561.0 | \n",
" 0.028381 | \n",
" 40 | \n",
" 2 | \n",
" 4 | \n",
" 38 | \n",
" 762062 | \n",
" 581891 | \n",
" 76.4 | \n",
" 4531.127389 | \n",
"
\n",
" \n",
" NE | \n",
" 20200329 | \n",
" 108.0 | \n",
" 1968.0 | \n",
" 4.0 | \n",
" NaN | \n",
" 2.0 | \n",
" 2080 | \n",
" 44e85c9c9b448faa6a1b8a6af39c84820610bff0 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2076 | \n",
" ... | \n",
" 76.0 | \n",
" 0.051923 | \n",
" 40 | \n",
" 2 | \n",
" 4 | \n",
" 31 | \n",
" 1934408 | \n",
" 1458334 | \n",
" 75.4 | \n",
" 1075.264370 | \n",
"
\n",
" \n",
" NH | \n",
" 20200329 | \n",
" 214.0 | \n",
" 4524.0 | \n",
" 285.0 | \n",
" 33.0 | \n",
" 2.0 | \n",
" 5023 | \n",
" 5602e725da5424f5efebbaa8e3b8ac7c71a21d53 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 4738 | \n",
" ... | \n",
" 895.0 | \n",
" 0.042604 | \n",
" 40 | \n",
" 1 | \n",
" 1 | \n",
" 33 | \n",
" 1359711 | \n",
" 1104458 | \n",
" 81.2 | \n",
" 3694.167364 | \n",
"
\n",
" \n",
" NJ | \n",
" 20200329 | \n",
" 13386.0 | \n",
" 22216.0 | \n",
" NaN | \n",
" NaN | \n",
" 161.0 | \n",
" 35602 | \n",
" 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 35602 | \n",
" ... | \n",
" 5092.0 | \n",
" 0.375990 | \n",
" 40 | \n",
" 1 | \n",
" 2 | \n",
" 34 | \n",
" 8882190 | \n",
" 6943612 | \n",
" 78.2 | \n",
" 4008.245714 | \n",
"
\n",
" \n",
" NM | \n",
" 20200329 | \n",
" 237.0 | \n",
" 10769.0 | \n",
" NaN | \n",
" 19.0 | \n",
" 2.0 | \n",
" 11006 | \n",
" c76b9199e33fb36ea9e9509cce54c2ad94146dfd | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11006 | \n",
" ... | \n",
" 1619.0 | \n",
" 0.021534 | \n",
" 40 | \n",
" 4 | \n",
" 8 | \n",
" 35 | \n",
" 2096829 | \n",
" 1620991 | \n",
" 77.3 | \n",
" 5248.878187 | \n",
"
\n",
" \n",
" NV | \n",
" 20200329 | \n",
" 738.0 | \n",
" 8412.0 | \n",
" NaN | \n",
" NaN | \n",
" 14.0 | \n",
" 9150 | \n",
" d0408e54d643518f6c0b61bd367061c20ea69327 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 9150 | \n",
" ... | \n",
" 628.0 | \n",
" 0.080656 | \n",
" 40 | \n",
" 4 | \n",
" 8 | \n",
" 32 | \n",
" 3080156 | \n",
" 2387517 | \n",
" 77.5 | \n",
" 2970.628760 | \n",
"
\n",
" \n",
" NY | \n",
" 20200329 | \n",
" 59513.0 | \n",
" 112847.0 | \n",
" NaN | \n",
" 12075.0 | \n",
" 965.0 | \n",
" 172360 | \n",
" ba807849425122f97cff754bfca452232a1e75ce | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 172360 | \n",
" ... | \n",
" 16426.0 | \n",
" 0.345283 | \n",
" 40 | \n",
" 1 | \n",
" 2 | \n",
" 36 | \n",
" 19453561 | \n",
" 15425262 | \n",
" 79.3 | \n",
" 8860.074513 | \n",
"
\n",
" \n",
" OH | \n",
" 20200329 | \n",
" 1653.0 | \n",
" 19012.0 | \n",
" NaN | \n",
" 403.0 | \n",
" 29.0 | \n",
" 20665 | \n",
" bf97498f0e2f4741137db5392baa1abf5648979f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20665 | \n",
" ... | \n",
" 247.0 | \n",
" 0.079990 | \n",
" 40 | \n",
" 2 | \n",
" 3 | \n",
" 39 | \n",
" 11689100 | \n",
" 9111081 | \n",
" 77.9 | \n",
" 1767.886321 | \n",
"
\n",
" \n",
" OK | \n",
" 20200329 | \n",
" 429.0 | \n",
" 1205.0 | \n",
" NaN | \n",
" 140.0 | \n",
" 16.0 | \n",
" 1634 | \n",
" 43ef7985bd9555698d09d6a950875ade320286df | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1634 | \n",
" ... | \n",
" 77.0 | \n",
" 0.262546 | \n",
" 40 | \n",
" 3 | \n",
" 7 | \n",
" 40 | \n",
" 3956971 | \n",
" 3004733 | \n",
" 75.9 | \n",
" 412.942122 | \n",
"
\n",
" \n",
" OR | \n",
" 20200329 | \n",
" 548.0 | \n",
" 10878.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 13.0 | \n",
" 11426 | \n",
" ec860456b55d5a18391c8cbf2748ea02bf908fd2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 11426 | \n",
" ... | \n",
" 1254.0 | \n",
" 0.047961 | \n",
" 40 | \n",
" 4 | \n",
" 9 | \n",
" 41 | \n",
" 4217737 | \n",
" 3351175 | \n",
" 79.5 | \n",
" 2709.035675 | \n",
"
\n",
" \n",
" PA | \n",
" 20200329 | \n",
" 3394.0 | \n",
" 30061.0 | \n",
" NaN | \n",
" 682.0 | \n",
" 38.0 | \n",
" 33455 | \n",
" ad1df7816ad6d19a996749d630bc38345291f26e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 33455 | \n",
" ... | \n",
" 5450.0 | \n",
" 0.101450 | \n",
" 40 | \n",
" 1 | \n",
" 2 | \n",
" 42 | \n",
" 12801989 | \n",
" 10167376 | \n",
" 79.4 | \n",
" 2613.265798 | \n",
"
\n",
" \n",
" RI | \n",
" 20200329 | \n",
" 294.0 | \n",
" 2541.0 | \n",
" NaN | \n",
" 35.0 | \n",
" 3.0 | \n",
" 2835 | \n",
" a4d42dba093e9b91662dc7547081bffbecd06bef | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2835 | \n",
" ... | \n",
" 326.0 | \n",
" 0.103704 | \n",
" 40 | \n",
" 1 | \n",
" 1 | \n",
" 44 | \n",
" 1059361 | \n",
" 854866 | \n",
" 80.7 | \n",
" 2676.141561 | \n",
"
\n",
" \n",
" SC | \n",
" 20200329 | \n",
" 774.0 | \n",
" 3015.0 | \n",
" NaN | \n",
" 129.0 | \n",
" 16.0 | \n",
" 3789 | \n",
" b85a9aaa3da2d62f633714b4d08f409109f52bb4 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3789 | \n",
" ... | \n",
" 842.0 | \n",
" 0.204276 | \n",
" 40 | \n",
" 3 | \n",
" 5 | \n",
" 45 | \n",
" 5148714 | \n",
" 4037531 | \n",
" 78.4 | \n",
" 735.911919 | \n",
"
\n",
" \n",
" SD | \n",
" 20200329 | \n",
" 90.0 | \n",
" 3127.0 | \n",
" 1.0 | \n",
" NaN | \n",
" 1.0 | \n",
" 3218 | \n",
" 2ecdd93c12093321637eb882b51f779ef2269d3a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3217 | \n",
" ... | \n",
" 557.0 | \n",
" 0.027968 | \n",
" 40 | \n",
" 2 | \n",
" 4 | \n",
" 46 | \n",
" 884659 | \n",
" 667558 | \n",
" 75.5 | \n",
" 3637.559783 | \n",
"
\n",
" \n",
" TN | \n",
" 20200329 | \n",
" 1537.0 | \n",
" 19037.0 | \n",
" NaN | \n",
" 133.0 | \n",
" 7.0 | \n",
" 20574 | \n",
" c928e23a1549ab46b5a78ea8b86ea8fa727ca05f | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 20574 | \n",
" ... | \n",
" 2236.0 | \n",
" 0.074706 | \n",
" 40 | \n",
" 3 | \n",
" 6 | \n",
" 47 | \n",
" 6829174 | \n",
" 5319123 | \n",
" 77.9 | \n",
" 3012.663025 | \n",
"
\n",
" \n",
" TX | \n",
" 20200329 | \n",
" 2552.0 | \n",
" 23208.0 | \n",
" NaN | \n",
" NaN | \n",
" 34.0 | \n",
" 25760 | \n",
" 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 25760 | \n",
" ... | \n",
" 500.0 | \n",
" 0.099068 | \n",
" 40 | \n",
" 3 | \n",
" 7 | \n",
" 48 | \n",
" 28995881 | \n",
" 21596071 | \n",
" 74.5 | \n",
" 888.402046 | \n",
"
\n",
" \n",
" UT | \n",
" 20200329 | \n",
" 719.0 | \n",
" 13274.0 | \n",
" NaN | \n",
" NaN | \n",
" 2.0 | \n",
" 13993 | \n",
" 7da47dee17adc7161be7aeefa3d507b3bc735edf | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 13993 | \n",
" ... | \n",
" 2681.0 | \n",
" 0.051383 | \n",
" 40 | \n",
" 4 | \n",
" 8 | \n",
" 49 | \n",
" 3205958 | \n",
" 2274774 | \n",
" 71.0 | \n",
" 4364.686000 | \n",
"
\n",
" \n",
" VA | \n",
" 20200329 | \n",
" 890.0 | \n",
" 9719.0 | \n",
" NaN | \n",
" 112.0 | \n",
" 22.0 | \n",
" 10609 | \n",
" 66ebeae58d1a5e123904bd7f39d840dbe24449c2 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 10609 | \n",
" ... | \n",
" 1443.0 | \n",
" 0.083891 | \n",
" 40 | \n",
" 3 | \n",
" 5 | \n",
" 51 | \n",
" 8535519 | \n",
" 6674671 | \n",
" 78.2 | \n",
" 1242.923834 | \n",
"
\n",
" \n",
" VT | \n",
" 20200329 | \n",
" 235.0 | \n",
" 3466.0 | \n",
" NaN | \n",
" 18.0 | \n",
" 12.0 | \n",
" 3701 | \n",
" 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 3701 | \n",
" ... | \n",
" 1327.0 | \n",
" 0.063496 | \n",
" 40 | \n",
" 1 | \n",
" 1 | \n",
" 50 | \n",
" 623989 | \n",
" 509984 | \n",
" 81.7 | \n",
" 5931.194300 | \n",
"
\n",
" \n",
" WA | \n",
" 20200329 | \n",
" 4310.0 | \n",
" 54896.0 | \n",
" NaN | \n",
" 254.0 | \n",
" 189.0 | \n",
" 59206 | \n",
" 02bb082a97f1ddda79562a855dd090e632e2e5e9 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 59206 | \n",
" ... | \n",
" 6468.0 | \n",
" 0.072797 | \n",
" 40 | \n",
" 4 | \n",
" 9 | \n",
" 53 | \n",
" 7614893 | \n",
" 5951832 | \n",
" 78.2 | \n",
" 7775.027174 | \n",
"
\n",
" \n",
" WI | \n",
" 20200329 | \n",
" 1112.0 | \n",
" 16550.0 | \n",
" NaN | \n",
" NaN | \n",
" 13.0 | \n",
" 17662 | \n",
" 2cd5d65e6cf10a667f00fe96ffd78eb850713129 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 17662 | \n",
" ... | \n",
" 1441.0 | \n",
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" 40 | \n",
" 2 | \n",
" 3 | \n",
" 55 | \n",
" 5822434 | \n",
" 4555837 | \n",
" 78.2 | \n",
" 3033.439280 | \n",
"
\n",
" \n",
" WV | \n",
" 20200329 | \n",
" 113.0 | \n",
" 2705.0 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.0 | \n",
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" 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 2818 | \n",
" ... | \n",
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" 40 | \n",
" 3 | \n",
" 5 | \n",
" 54 | \n",
" 1792147 | \n",
" 1432580 | \n",
" 79.9 | \n",
" 1572.415656 | \n",
"
\n",
" \n",
" WY | \n",
" 20200329 | \n",
" 86.0 | \n",
" 1554.0 | \n",
" NaN | \n",
" 15.0 | \n",
" 0.0 | \n",
" 1640 | \n",
" e6365afc2c29afd4168c8d82cd57312427281140 | \n",
" 2020-03-29 20:00:00+00:00 | \n",
" 1640 | \n",
" ... | \n",
" 83.0 | \n",
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" 40 | \n",
" 4 | \n",
" 8 | \n",
" 56 | \n",
" 578759 | \n",
" 445025 | \n",
" 76.9 | \n",
" 2833.649239 | \n",
"
\n",
" \n",
"
\n",
"
51 rows × 25 columns
\n",
"
"
],
"text/plain": [
" date positive negative pending hospitalized death total \\\n",
"AK 20200329 102.0 3232.0 NaN 6.0 2.0 3334 \n",
"AL 20200329 806.0 4184.0 NaN NaN 4.0 4990 \n",
"AR 20200329 426.0 3027.0 NaN 48.0 6.0 3453 \n",
"AZ 20200329 919.0 12953.0 NaN 78.0 17.0 13872 \n",
"CA 20200329 5708.0 20549.0 64400.0 1034.0 123.0 90657 \n",
"CO 20200329 2061.0 11215.0 NaN 274.0 44.0 13276 \n",
"CT 20200329 1993.0 9907.0 NaN 404.0 34.0 11900 \n",
"DC 20200329 342.0 2469.0 1.0 NaN 5.0 2812 \n",
"DE 20200329 232.0 36.0 NaN 33.0 6.0 268 \n",
"FL 20200329 4246.0 39070.0 NaN 594.0 56.0 43316 \n",
"GA 20200329 2651.0 9913.0 NaN 666.0 80.0 12564 \n",
"HI 20200329 151.0 6849.0 4.0 12.0 0.0 7004 \n",
"IA 20200329 336.0 5013.0 NaN 68.0 4.0 5349 \n",
"ID 20200329 261.0 4021.0 NaN 36.0 5.0 4282 \n",
"IL 20200329 4596.0 23166.0 NaN NaN 65.0 27762 \n",
"IN 20200329 1514.0 8316.0 NaN NaN 32.0 9830 \n",
"KS 20200329 319.0 4194.0 NaN 55.0 6.0 4513 \n",
"KY 20200329 394.0 5147.0 NaN NaN 9.0 5541 \n",
"LA 20200329 3540.0 24331.0 NaN 1127.0 151.0 27871 \n",
"MA 20200329 4955.0 34111.0 NaN 399.0 48.0 39066 \n",
"MD 20200329 1239.0 12354.0 NaN 277.0 10.0 13593 \n",
"ME 20200329 253.0 3394.0 NaN NaN 3.0 3647 \n",
"MI 20200329 5486.0 11893.0 NaN NaN 132.0 17379 \n",
"MN 20200329 503.0 17154.0 NaN 75.0 9.0 17657 \n",
"MO 20200329 838.0 11547.0 NaN NaN 10.0 12385 \n",
"MS 20200329 758.0 2560.0 NaN 235.0 14.0 3318 \n",
"MT 20200329 154.0 4143.0 NaN 8.0 1.0 4297 \n",
"NC 20200329 1040.0 17905.0 NaN 91.0 4.0 18945 \n",
"ND 20200329 98.0 3355.0 NaN 17.0 1.0 3453 \n",
"NE 20200329 108.0 1968.0 4.0 NaN 2.0 2080 \n",
"NH 20200329 214.0 4524.0 285.0 33.0 2.0 5023 \n",
"NJ 20200329 13386.0 22216.0 NaN NaN 161.0 35602 \n",
"NM 20200329 237.0 10769.0 NaN 19.0 2.0 11006 \n",
"NV 20200329 738.0 8412.0 NaN NaN 14.0 9150 \n",
"NY 20200329 59513.0 112847.0 NaN 12075.0 965.0 172360 \n",
"OH 20200329 1653.0 19012.0 NaN 403.0 29.0 20665 \n",
"OK 20200329 429.0 1205.0 NaN 140.0 16.0 1634 \n",
"OR 20200329 548.0 10878.0 NaN 129.0 13.0 11426 \n",
"PA 20200329 3394.0 30061.0 NaN 682.0 38.0 33455 \n",
"RI 20200329 294.0 2541.0 NaN 35.0 3.0 2835 \n",
"SC 20200329 774.0 3015.0 NaN 129.0 16.0 3789 \n",
"SD 20200329 90.0 3127.0 1.0 NaN 1.0 3218 \n",
"TN 20200329 1537.0 19037.0 NaN 133.0 7.0 20574 \n",
"TX 20200329 2552.0 23208.0 NaN NaN 34.0 25760 \n",
"UT 20200329 719.0 13274.0 NaN NaN 2.0 13993 \n",
"VA 20200329 890.0 9719.0 NaN 112.0 22.0 10609 \n",
"VT 20200329 235.0 3466.0 NaN 18.0 12.0 3701 \n",
"WA 20200329 4310.0 54896.0 NaN 254.0 189.0 59206 \n",
"WI 20200329 1112.0 16550.0 NaN NaN 13.0 17662 \n",
"WV 20200329 113.0 2705.0 0.0 1.0 0.0 2818 \n",
"WY 20200329 86.0 1554.0 NaN 15.0 0.0 1640 \n",
"\n",
" hash dateChecked \\\n",
"AK d4c0789e67f59e98176a9ea96200ed348161c6d4 2020-03-29 20:00:00+00:00 \n",
"AL 9dbf0b598d35897b1f6857899d0a834990f4ec51 2020-03-29 20:00:00+00:00 \n",
"AR 2c8ed5059d37cc0aa0d20f4f3066a64db930c6c5 2020-03-29 20:00:00+00:00 \n",
"AZ 14deca609d3762fb4b92807785e2b9c7015661e6 2020-03-29 20:00:00+00:00 \n",
"CA c364ec885909accfd4baf8e2d329903900870ba9 2020-03-29 20:00:00+00:00 \n",
"CO 10769183d6c8ae4f67d7694c1e90e053315457ad 2020-03-29 20:00:00+00:00 \n",
"CT a2fc8b02ed8f3a41030ae22ddb222af3d3c53a8e 2020-03-29 20:00:00+00:00 \n",
"DC 951af61bdce7b51bbfb818f7d11e3865a59e31ae 2020-03-29 20:00:00+00:00 \n",
"DE ba8edd92448c4db2b977c3e519df1d6421968cd1 2020-03-29 20:00:00+00:00 \n",
"FL 8ce3ce4c8ee42dd4925356994534079c50bc67ca 2020-03-29 20:00:00+00:00 \n",
"GA 7d692c3fbf28e3dbfdd58fc99dace80c1a9958d2 2020-03-29 20:00:00+00:00 \n",
"HI f9ea13c2d669a5af5e440577fd13339db609c58d 2020-03-29 20:00:00+00:00 \n",
"IA 0e8a6c975f6cdda9eb1f68596e52293afbfba37e 2020-03-29 20:00:00+00:00 \n",
"ID e58918bfa4321b0a6884b02c3ff7761ec4778e6b 2020-03-29 20:00:00+00:00 \n",
"IL e6e6b00bdc70ca71fc14b3056568dfc40097d750 2020-03-29 20:00:00+00:00 \n",
"IN 659e4aad9785c14cf15e898f481aebda271e73e3 2020-03-29 20:00:00+00:00 \n",
"KS be3c8cd4ff2e10e3092723512f8ea5a03ec9d486 2020-03-29 20:00:00+00:00 \n",
"KY 563d46bc3630e17fd60499a2115df267a8645ae0 2020-03-29 20:00:00+00:00 \n",
"LA 38b4d0f6b224b46b63a1c01841b1d1385a2a3742 2020-03-29 20:00:00+00:00 \n",
"MA 85320d5eb34b32da6ffe44dfb937835574a335a1 2020-03-29 20:00:00+00:00 \n",
"MD b017ab05576951a20e7c57f1faf56b614bc443f1 2020-03-29 20:00:00+00:00 \n",
"ME 2e6f8d654325315d3ff90837e0355efb83712cdb 2020-03-29 20:00:00+00:00 \n",
"MI 25fd0b3fada36382067e735f2ea785fcbb58376a 2020-03-29 20:00:00+00:00 \n",
"MN a7684a9182a0b32142849036fecf82ec7701d8a3 2020-03-29 20:00:00+00:00 \n",
"MO 228bc579fa237f56c7e55fd2dd8f9bfe9d410b20 2020-03-29 20:00:00+00:00 \n",
"MS daa6037b61ae96e6c2526a155139e7e732cd0368 2020-03-29 20:00:00+00:00 \n",
"MT d071e5b6a217a1d7bc9f1020995fa9c92a50d0ee 2020-03-29 20:00:00+00:00 \n",
"NC 94c103bb6dc3385d5a5f366a0913180f83223df8 2020-03-29 20:00:00+00:00 \n",
"ND 2c4c2aa7b34f5a07b885b9fe64752fa44d9decb5 2020-03-29 20:00:00+00:00 \n",
"NE 44e85c9c9b448faa6a1b8a6af39c84820610bff0 2020-03-29 20:00:00+00:00 \n",
"NH 5602e725da5424f5efebbaa8e3b8ac7c71a21d53 2020-03-29 20:00:00+00:00 \n",
"NJ 5e0cce3ce15a05bc385736f7f690e041feb4f2d9 2020-03-29 20:00:00+00:00 \n",
"NM c76b9199e33fb36ea9e9509cce54c2ad94146dfd 2020-03-29 20:00:00+00:00 \n",
"NV d0408e54d643518f6c0b61bd367061c20ea69327 2020-03-29 20:00:00+00:00 \n",
"NY ba807849425122f97cff754bfca452232a1e75ce 2020-03-29 20:00:00+00:00 \n",
"OH bf97498f0e2f4741137db5392baa1abf5648979f 2020-03-29 20:00:00+00:00 \n",
"OK 43ef7985bd9555698d09d6a950875ade320286df 2020-03-29 20:00:00+00:00 \n",
"OR ec860456b55d5a18391c8cbf2748ea02bf908fd2 2020-03-29 20:00:00+00:00 \n",
"PA ad1df7816ad6d19a996749d630bc38345291f26e 2020-03-29 20:00:00+00:00 \n",
"RI a4d42dba093e9b91662dc7547081bffbecd06bef 2020-03-29 20:00:00+00:00 \n",
"SC b85a9aaa3da2d62f633714b4d08f409109f52bb4 2020-03-29 20:00:00+00:00 \n",
"SD 2ecdd93c12093321637eb882b51f779ef2269d3a 2020-03-29 20:00:00+00:00 \n",
"TN c928e23a1549ab46b5a78ea8b86ea8fa727ca05f 2020-03-29 20:00:00+00:00 \n",
"TX 38db35dbc7abd19b31e25fa9eaa4165ad5eece4a 2020-03-29 20:00:00+00:00 \n",
"UT 7da47dee17adc7161be7aeefa3d507b3bc735edf 2020-03-29 20:00:00+00:00 \n",
"VA 66ebeae58d1a5e123904bd7f39d840dbe24449c2 2020-03-29 20:00:00+00:00 \n",
"VT 90a52fd80e46ab5832f7e0d0fc7ef0008e9cf00e 2020-03-29 20:00:00+00:00 \n",
"WA 02bb082a97f1ddda79562a855dd090e632e2e5e9 2020-03-29 20:00:00+00:00 \n",
"WI 2cd5d65e6cf10a667f00fe96ffd78eb850713129 2020-03-29 20:00:00+00:00 \n",
"WV 626ca2fdd89b005a3d3b606376e4ac5fd2a4772c 2020-03-29 20:00:00+00:00 \n",
"WY e6365afc2c29afd4168c8d82cd57312427281140 2020-03-29 20:00:00+00:00 \n",
"\n",
" totalTestResults ... totalTestResultsIncrease posrate SUMLEV REGION \\\n",
"AK 3334 ... 413.0 0.030594 40 4 \n",
"AL 4990 ... 110.0 0.161523 40 3 \n",
"AR 3453 ... 111.0 0.123371 40 3 \n",
"AZ 13872 ... 5544.0 0.066249 40 4 \n",
"CA 26257 ... 1065.0 0.062963 40 4 \n",
"CO 13276 ... 1600.0 0.155243 40 4 \n",
"CT 11900 ... 3500.0 0.167479 40 1 \n",
"DC 2811 ... 296.0 0.121622 40 3 \n",
"DE 268 ... 18.0 0.865672 40 3 \n",
"FL 43316 ... 4187.0 0.098024 40 3 \n",
"GA 12564 ... 1513.0 0.211000 40 3 \n",
"HI 7000 ... 2523.0 0.021559 40 4 \n",
"IA 5349 ... 676.0 0.062815 40 2 \n",
"ID 4282 ... 710.0 0.060953 40 4 \n",
"IL 27762 ... 2271.0 0.165550 40 2 \n",
"IN 9830 ... 1423.0 0.154018 40 2 \n",
"KS 4513 ... 581.0 0.070685 40 2 \n",
"KY 5541 ... 418.0 0.071106 40 3 \n",
"LA 27871 ... 2710.0 0.127014 40 3 \n",
"MA 39066 ... 4017.0 0.126837 40 1 \n",
"MD 13593 ... 1085.0 0.091150 40 3 \n",
"ME 3647 ... 42.0 0.069372 40 1 \n",
"MI 17379 ... 4613.0 0.315668 40 2 \n",
"MN 17657 ... 1528.0 0.028487 40 2 \n",
"MO 12385 ... 1465.0 0.067662 40 2 \n",
"MS 3318 ... 95.0 0.228451 40 3 \n",
"MT 4297 ... 912.0 0.035839 40 4 \n",
"NC 18945 ... 1418.0 0.054896 40 3 \n",
"ND 3453 ... 561.0 0.028381 40 2 \n",
"NE 2076 ... 76.0 0.051923 40 2 \n",
"NH 4738 ... 895.0 0.042604 40 1 \n",
"NJ 35602 ... 5092.0 0.375990 40 1 \n",
"NM 11006 ... 1619.0 0.021534 40 4 \n",
"NV 9150 ... 628.0 0.080656 40 4 \n",
"NY 172360 ... 16426.0 0.345283 40 1 \n",
"OH 20665 ... 247.0 0.079990 40 2 \n",
"OK 1634 ... 77.0 0.262546 40 3 \n",
"OR 11426 ... 1254.0 0.047961 40 4 \n",
"PA 33455 ... 5450.0 0.101450 40 1 \n",
"RI 2835 ... 326.0 0.103704 40 1 \n",
"SC 3789 ... 842.0 0.204276 40 3 \n",
"SD 3217 ... 557.0 0.027968 40 2 \n",
"TN 20574 ... 2236.0 0.074706 40 3 \n",
"TX 25760 ... 500.0 0.099068 40 3 \n",
"UT 13993 ... 2681.0 0.051383 40 4 \n",
"VA 10609 ... 1443.0 0.083891 40 3 \n",
"VT 3701 ... 1327.0 0.063496 40 1 \n",
"WA 59206 ... 6468.0 0.072797 40 4 \n",
"WI 17662 ... 1441.0 0.062960 40 2 \n",
"WV 2818 ... 391.0 0.040099 40 3 \n",
"WY 1640 ... 83.0 0.052439 40 4 \n",
"\n",
" DIVISION STATE POPESTIMATE2019 POPEST18PLUS2019 PCNT_POPEST18PLUS \\\n",
"AK 9 2 731545 551562 75.4 \n",
"AL 6 1 4903185 3814879 77.8 \n",
"AR 7 5 3017804 2317649 76.8 \n",
"AZ 8 4 7278717 5638481 77.5 \n",
"CA 9 6 39512223 30617582 77.5 \n",
"CO 8 8 5758736 4499217 78.1 \n",
"CT 1 9 3565287 2837847 79.6 \n",
"DC 5 11 705749 577581 81.8 \n",
"DE 5 10 973764 770192 79.1 \n",
"FL 5 12 21477737 17247808 80.3 \n",
"GA 5 13 10617423 8113542 76.4 \n",
"HI 9 15 1415872 1116004 78.8 \n",
"IA 4 19 3155070 2428229 77.0 \n",
"ID 8 16 1787065 1338864 74.9 \n",
"IL 3 17 12671821 9853946 77.8 \n",
"IN 3 18 6732219 5164245 76.7 \n",
"KS 4 20 2913314 2213064 76.0 \n",
"KY 6 21 4467673 3464802 77.6 \n",
"LA 7 22 4648794 3561164 76.6 \n",
"MA 1 25 6892503 5539703 80.4 \n",
"MD 5 24 6045680 4710993 77.9 \n",
"ME 1 23 1344212 1095370 81.5 \n",
"MI 3 26 9986857 7842924 78.5 \n",
"MN 4 27 5639632 4336475 76.9 \n",
"MO 4 29 6137428 4766843 77.7 \n",
"MS 6 28 2976149 2277566 76.5 \n",
"MT 8 30 1068778 840190 78.6 \n",
"NC 5 37 10488084 8187369 78.1 \n",
"ND 4 38 762062 581891 76.4 \n",
"NE 4 31 1934408 1458334 75.4 \n",
"NH 1 33 1359711 1104458 81.2 \n",
"NJ 2 34 8882190 6943612 78.2 \n",
"NM 8 35 2096829 1620991 77.3 \n",
"NV 8 32 3080156 2387517 77.5 \n",
"NY 2 36 19453561 15425262 79.3 \n",
"OH 3 39 11689100 9111081 77.9 \n",
"OK 7 40 3956971 3004733 75.9 \n",
"OR 9 41 4217737 3351175 79.5 \n",
"PA 2 42 12801989 10167376 79.4 \n",
"RI 1 44 1059361 854866 80.7 \n",
"SC 5 45 5148714 4037531 78.4 \n",
"SD 4 46 884659 667558 75.5 \n",
"TN 6 47 6829174 5319123 77.9 \n",
"TX 7 48 28995881 21596071 74.5 \n",
"UT 8 49 3205958 2274774 71.0 \n",
"VA 5 51 8535519 6674671 78.2 \n",
"VT 1 50 623989 509984 81.7 \n",
"WA 9 53 7614893 5951832 78.2 \n",
"WI 3 55 5822434 4555837 78.2 \n",
"WV 5 54 1792147 1432580 79.9 \n",
"WY 8 56 578759 445025 76.9 \n",
"\n",
" Per Million \n",
"AK 4557.477667 \n",
"AL 1017.705838 \n",
"AR 1144.209498 \n",
"AZ 1905.830382 \n",
"CA 2294.403937 \n",
"CO 2305.367011 \n",
"CT 3337.739711 \n",
"DC 3984.419390 \n",
"DE 275.220690 \n",
"FL 2016.786033 \n",
"GA 1183.337991 \n",
"HI 4946.774850 \n",
"IA 1695.366505 \n",
"ID 2396.107584 \n",
"IL 2190.845341 \n",
"IN 1460.142636 \n",
"KS 1549.094948 \n",
"KY 1240.242963 \n",
"LA 5995.318356 \n",
"MA 5667.897424 \n",
"MD 2248.382316 \n",
"ME 2713.113705 \n",
"MI 1740.187128 \n",
"MN 3130.878043 \n",
"MO 2017.946280 \n",
"MS 1114.863537 \n",
"MT 4020.479463 \n",
"NC 1806.335647 \n",
"ND 4531.127389 \n",
"NE 1075.264370 \n",
"NH 3694.167364 \n",
"NJ 4008.245714 \n",
"NM 5248.878187 \n",
"NV 2970.628760 \n",
"NY 8860.074513 \n",
"OH 1767.886321 \n",
"OK 412.942122 \n",
"OR 2709.035675 \n",
"PA 2613.265798 \n",
"RI 2676.141561 \n",
"SC 735.911919 \n",
"SD 3637.559783 \n",
"TN 3012.663025 \n",
"TX 888.402046 \n",
"UT 4364.686000 \n",
"VA 1242.923834 \n",
"VT 5931.194300 \n",
"WA 7775.027174 \n",
"WI 3033.439280 \n",
"WV 1572.415656 \n",
"WY 2833.649239 \n",
"\n",
"[51 rows x 25 columns]"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"percapita = latest_by_state.join(state_pops_with_abbs, how='inner')\n",
"percapita['Per Million'] = 1e6 * percapita['total'] / percapita['POPESTIMATE2019']\n",
"percapita"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[pandas.core.series.Series,\n",
" date 20200329\n",
" positive 59513\n",
" negative 112847\n",
" pending NaN\n",
" hospitalized 12075\n",
" death 965\n",
" total 172360\n",
" hash ba807849425122f97cff754bfca452232a1e75ce\n",
" dateChecked 2020-03-29 20:00:00+00:00\n",
" totalTestResults 172360\n",
" fips 36\n",
" deathIncrease 237\n",
" hospitalizedIncrease 2021\n",
" negativeIncrease 9231\n",
" positiveIncrease 7195\n",
" totalTestResultsIncrease 16426\n",
" posrate 0.345283\n",
" SUMLEV 40\n",
" REGION 1\n",
" DIVISION 2\n",
" STATE 36\n",
" POPESTIMATE2019 19453561\n",
" POPEST18PLUS2019 15425262\n",
" PCNT_POPEST18PLUS 79.3\n",
" Per Million 8860.07\n",
" Name: NY, dtype: object,\n",
" 'NY',\n",
" 8860.07451283598,\n",
" 0.34528312833604086]"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"row = percapita.loc['NY']\n",
"[\n",
" type(row),\n",
" row,\n",
" row.name,\n",
" row['Per Million'],\n",
" row['posrate']\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"AK 4557.477667129158 0.03059388122375525\n",
"AL 1017.705838143982 0.16152304609218437\n",
"AR 1144.209498032344 0.12337098175499565\n",
"AZ 1905.8303819203302 0.06624855824682814\n",
"CA 2294.403936726111 0.0629625952767023\n",
"CO 2305.367011094101 0.15524254293461887\n",
"CT 3337.739710716136 0.16747899159663865\n",
"DC 3984.419389896408 0.12162162162162163\n",
"DE 275.22069002345535 0.8656716417910447\n",
"FL 2016.786032904677 0.09802382491458121\n",
"GA 1183.3379907723372 0.21099968163005411\n",
"HI 4946.774849703928 0.021559109080525413\n",
"IA 1695.3665053390257 0.0628154795288839\n",
"ID 2396.1075842232935 0.0609528257823447\n",
"IL 2190.845341012945 0.16555003241841365\n",
"IN 1460.142636476918 0.1540183112919634\n",
"KS 1549.0949482273452 0.07068468867715488\n",
"KY 1240.242963171208 0.07110629850207544\n",
"LA 5995.318355685367 0.12701374188224318\n",
"MA 5667.897424201339 0.1268366354374648\n",
"MD 2248.3823159677654 0.09114985654380932\n",
"ME 2713.1137052786316 0.06937208664655882\n",
"MI 1740.1871279422544 0.3156683353472582\n",
"MN 3130.8780431063587 0.028487285495837344\n",
"MO 2017.9462797771314 0.06766249495357288\n",
"MS 1114.863536738248 0.22845087402049427\n",
"MT 4020.47946346201 0.03583895741214801\n",
"NC 1806.3356471973336 0.05489575085774611\n",
"ND 4531.127388585181 0.028381117868520128\n",
"NE 1075.264370287964 0.051923076923076926\n",
"NH 3694.1673635059215 0.04260402150109496\n",
"NJ 4008.245714176346 0.3759901129150048\n",
"NM 5248.878187014773 0.02153370888606215\n",
"NV 2970.6287603614883 0.08065573770491803\n",
"NY 8860.07451283598 0.34528312833604086\n",
"OH 1767.8863214447647 0.07999032180014518\n",
"OK 412.9421216379903 0.26254589963280295\n",
"OR 2709.035674818036 0.04796079117801506\n",
"PA 2613.2657979943583 0.10144970856374234\n",
"RI 2676.1415608088273 0.1037037037037037\n",
"SC 735.9119189762725 0.2042755344418052\n",
"SD 3637.5597829220073 0.027967681789931635\n",
"TN 3012.663024840193 0.07470593953533586\n",
"TX 888.4020457940215 0.09906832298136646\n",
"UT 4364.6860002532785 0.05138283427428\n",
"VA 1242.923833922694 0.08389103591290414\n",
"VT 5931.194299899517 0.06349635233720616\n",
"WA 7775.027173723912 0.0727966760125663\n",
"WI 3033.439279861309 0.06296002717699015\n",
"WV 1572.4156556353914 0.04009936124911285\n",
"WY 2833.649239147901 0.0524390243902439\n"
]
},
{
"data": {
"image/png": 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\n",
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