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jason-curtis/plotly-coronavirus-exploration.ipynb

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plotly-coronavirus-exploration.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Coronavirus data exploration quickstart.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyPCAovSii/SEM6mo6VlXxSD",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/thatneat/e1e8f25852f4dbe548cb09443c9163a1/coronavirus-data-exploration-quickstart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XkFsnmyY-zww",
"colab_type": "text"
},
"source": [
"# Plotly + Coronavirus quickstart notebook\n",
"\n",
"This notebook pulls data from the [Corona Data Scraper](https://coronadatascraper.com) and generates plots.\n",
"\n",
"Feel free to copy & modify it. There is also a version available as a [Gist](https://gist.github.com/thatneat/4206ee5f59171165acce87467067dae6).\n",
"\n",
"\n",
"**⬇ If you just want to see the pretty plots, scroll down ⬇**\n",
"\n",
"\n",
"### Ideas\n",
"\n",
"* ☑️ plot confirmed cases over time\n",
" * ☑️ log plot\n",
" * ☑️ normalize start date\n",
"* ☑️ compare confirmed cases to deaths\n",
"* ☑️ look at per capita numbers\n",
"* ☐ make a plot showing recovery (hopefully) catching up to infections\n",
"* ☐ somehow include number of testing kits per capita (or other indicators of response), and see how that relates to the infections/deaths rate\n",
"* ☐ make this interactive using dropdowns or something\n",
"* ☐ look at doubling rate based on latitude"
]
},
{
"cell_type": "code",
"metadata": {
"id": "mHZKukeMluNJ",
"colab_type": "code",
"colab": {}
},
"source": [
"# In colab, these dependencies are already installed.\n",
"# If you're running this locally you may need to install a few packages by uncommenting the following lines and running the cell\n",
"# %pip install plotly\n",
"# %pip install pandas\n",
"\n",
"import numpy as np\n",
"import plotly.io as pio\n",
"import plotly.express as px\n",
"import pandas as pd\n",
"import cufflinks # Monkeypatch pandas DataFrames to have .iplot() functions.\n",
"nan = pd.np.nan\n",
"\n",
"pio.templates.default = \"plotly_white\""
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "xbyVJ-ITT4Z5",
"colab_type": "text"
},
"source": [
"## Load raw data"
]
},
{
"cell_type": "code",
"metadata": {
"id": "C-W32I_BS2pC",
"colab_type": "code",
"outputId": "e835f822-a49f-4b0e-eaf4-81778b11717c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 326
}
},
"source": [
"timeseries = pd.read_csv('http://blog.lazd.net/coronadatascraper/timeseries.csv', parse_dates=['date'])\n",
"\n",
"display('Timeseries:')\n",
"display(timeseries.head())"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"'Timeseries:'"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>city</th>\n",
" <th>county</th>\n",
" <th>state</th>\n",
" <th>country</th>\n",
" <th>population</th>\n",
" <th>lat</th>\n",
" <th>long</th>\n",
" <th>url</th>\n",
" <th>cases</th>\n",
" <th>deaths</th>\n",
" <th>recovered</th>\n",
" <th>active</th>\n",
" <th>tested</th>\n",
" <th>growthFactor</th>\n",
" <th>date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>1.500000</td>\n",
" <td>2020-01-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>1.666667</td>\n",
" <td>2020-01-24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>1.400000</td>\n",
" <td>2020-01-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>8.0</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>NaN</td>\n",
" <td>1.142857</td>\n",
" <td>2020-01-26</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" city county state country ... active tested growthFactor date\n",
"0 NaN NaN NaN THA ... 2.0 NaN NaN 2020-01-22\n",
"1 NaN NaN NaN THA ... 3.0 NaN 1.500000 2020-01-23\n",
"2 NaN NaN NaN THA ... 5.0 NaN 1.666667 2020-01-24\n",
"3 NaN NaN NaN THA ... 7.0 NaN 1.400000 2020-01-25\n",
"4 NaN NaN NaN THA ... 6.0 NaN 1.142857 2020-01-26\n",
"\n",
"[5 rows x 15 columns]"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LY-0lnQGUs0b",
"colab_type": "code",
"outputId": "1cc5c3c5-804d-4bc7-c82e-c94679911f78",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 830
}
},
"source": [
"# the source DataFrame includes three-letter country codes, and separate city, county, state and country fields.\n",
"# Combine these into one, with the full country name to make them easy to use\n",
"\n",
"country_codes = pd.read_csv('https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/raw/master/all/all.csv').set_index('alpha-3')['name']\n",
"country_codes.name = 'country'\n",
"\n",
"# Override a few names that are too long or awkward\n",
"country_codes.update(pd.Series({\n",
" 'USA': 'USA',\n",
" 'GBR': 'UK',\n",
" 'KOR': 'South Korea',\n",
"}))\n",
"\n",
"display('Country code mapping:')\n",
"display(country_codes.head())\n",
"\n",
"def get_combined_location(row):\n",
" location_segments = [\n",
" row['city'], row['county'], row['state'], row['country']\n",
" ]\n",
" cleaned_location_segments = [\n",
" segment\n",
" for segment in location_segments\n",
" if type(segment) is str\n",
" ]\n",
" return ', '.join(cleaned_location_segments)\n",
"\n",
"cleaned_timeseries = (\n",
" timeseries\n",
" .rename(\n",
" {\n",
" 'country': 'country_code'\n",
" },\n",
" axis='columns'\n",
" )\n",
" .join(country_codes, 'country_code')\n",
")\n",
"cleaned_timeseries['location'] = cleaned_timeseries.apply(get_combined_location, axis='columns')\n",
"cleaned_timeseries"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"'Country code mapping:'"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"alpha-3\n",
"AFG Afghanistan\n",
"ALA Åland Islands\n",
"ALB Albania\n",
"DZA Algeria\n",
"ASM American Samoa\n",
"Name: country, dtype: object"
]
},
"metadata": {
"tags": []
}
},
{
"output_type": "execute_result",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>city</th>\n",
" <th>county</th>\n",
" <th>state</th>\n",
" <th>country_code</th>\n",
" <th>population</th>\n",
" <th>lat</th>\n",
" <th>long</th>\n",
" <th>url</th>\n",
" <th>cases</th>\n",
" <th>deaths</th>\n",
" <th>recovered</th>\n",
" <th>active</th>\n",
" <th>tested</th>\n",
" <th>growthFactor</th>\n",
" <th>date</th>\n",
" <th>country</th>\n",
" <th>location</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-22</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>1.500000</td>\n",
" <td>2020-01-23</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>1.666667</td>\n",
" <td>2020-01-24</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>1.400000</td>\n",
" <td>2020-01-25</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>8.0</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>NaN</td>\n",
" <td>1.142857</td>\n",
" <td>2020-01-26</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9396</th>\n",
" <td>NaN</td>\n",
" <td>Sumner County</td>\n",
" <td>TN</td>\n",
" <td>USA</td>\n",
" <td>187149.0</td>\n",
" <td>36.448775</td>\n",
" <td>-86.480131</td>\n",
" <td>https://www.tn.gov/health/cedep/ncov.html</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-03-18</td>\n",
" <td>USA</td>\n",
" <td>Sumner County, TN, USA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9397</th>\n",
" <td>NaN</td>\n",
" <td>Ashland County</td>\n",
" <td>OH</td>\n",
" <td>USA</td>\n",
" <td>53745.0</td>\n",
" <td>40.810381</td>\n",
" <td>-82.280962</td>\n",
" <td>https://coronavirus.ohio.gov/wps/portal/gov/co...</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-03-18</td>\n",
" <td>USA</td>\n",
" <td>Ashland County, OH, USA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9398</th>\n",
" <td>NaN</td>\n",
" <td>Delaware County</td>\n",
" <td>OH</td>\n",
" <td>USA</td>\n",
" <td>204826.0</td>\n",
" <td>40.284922</td>\n",
" <td>-82.996763</td>\n",
" <td>https://coronavirus.ohio.gov/wps/portal/gov/co...</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-03-18</td>\n",
" <td>USA</td>\n",
" <td>Delaware County, OH, USA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9399</th>\n",
" <td>NaN</td>\n",
" <td>Huron County</td>\n",
" <td>OH</td>\n",
" <td>USA</td>\n",
" <td>58504.0</td>\n",
" <td>41.141483</td>\n",
" <td>-82.588985</td>\n",
" <td>https://coronavirus.ohio.gov/wps/portal/gov/co...</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-03-18</td>\n",
" <td>USA</td>\n",
" <td>Huron County, OH, USA</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9400</th>\n",
" <td>NaN</td>\n",
" <td>Middlesex County</td>\n",
" <td>CT</td>\n",
" <td>USA</td>\n",
" <td>162682.0</td>\n",
" <td>41.451322</td>\n",
" <td>-72.529236</td>\n",
" <td>https://portal.ct.gov/Coronavirus</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-03-18</td>\n",
" <td>USA</td>\n",
" <td>Middlesex County, CT, USA</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>9401 rows × 17 columns</p>\n",
"</div>"
],
"text/plain": [
" city county ... country location\n",
"0 NaN NaN ... Thailand Thailand\n",
"1 NaN NaN ... Thailand Thailand\n",
"2 NaN NaN ... Thailand Thailand\n",
"3 NaN NaN ... Thailand Thailand\n",
"4 NaN NaN ... Thailand Thailand\n",
"... ... ... ... ... ...\n",
"9396 NaN Sumner County ... USA Sumner County, TN, USA\n",
"9397 NaN Ashland County ... USA Ashland County, OH, USA\n",
"9398 NaN Delaware County ... USA Delaware County, OH, USA\n",
"9399 NaN Huron County ... USA Huron County, OH, USA\n",
"9400 NaN Middlesex County ... USA Middlesex County, CT, USA\n",
"\n",
"[9401 rows x 17 columns]"
]
},
"metadata": {
"tags": []
},
"execution_count": 50
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9YZoOKSY0tUh",
"colab_type": "text"
},
"source": [
"# Add calculated columns\n",
"If you want to add extra columns to analyze, this is probably the best place."
]
},
{
"cell_type": "code",
"metadata": {
"id": "xwTilzX50o2y",
"colab_type": "code",
"outputId": "a9f29d01-4cd9-4ec3-f6c7-7a9f984190a0",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 617
}
},
"source": [
"cleaned_timeseries['cases/deaths'] = cleaned_timeseries['cases'] / cleaned_timeseries['deaths']\n",
"cleaned_timeseries['cases per 100k capita'] = cleaned_timeseries['cases'] / cleaned_timeseries['population'] * 1e5\n",
"\n",
"# Add diff columns for looking at change rate\n",
"timeseries_by_location = cleaned_timeseries.groupby('location')\n",
"for days_shift in [1,3,7]:\n",
" for orig_column in ['recovered', 'deaths', 'cases', 'active']:\n",
" cleaned_timeseries[f'{days_shift}d new {orig_column}'] = timeseries_by_location[orig_column].diff(periods=days_shift)\n",
"\n",
"\n",
"# Hack: add date in a format that plotly can deal with in hover text\n",
"cleaned_timeseries['Date'] = cleaned_timeseries['date'].apply(lambda date: date.strftime('%Y-%m-%d'))\n",
"\n",
"\n",
"# Support shifting things by the time that the location reached 100 as well as 1 per 100k population\n",
"day_location_reached_100 = cleaned_timeseries[cleaned_timeseries['cases']>100].groupby('location')['date'].min().to_dict()\n",
"day_location_reached_1_per_100k = cleaned_timeseries[cleaned_timeseries['cases per 100k capita']>1].groupby('location')['date'].min().to_dict()\n",
"\n",
"def shift_dates(row, offset_by_location):\n",
" date = row['date']\n",
" location = row['location']\n",
" if location in offset_by_location:\n",
" return (date - offset_by_location[location]) / pd.Timedelta(days=1)\n",
"\n",
"cleaned_timeseries['days since 100 cases'] = cleaned_timeseries.apply(\n",
" shift_dates,\n",
" offset_by_location=day_location_reached_100,\n",
" axis='columns'\n",
")\n",
"cleaned_timeseries['days since 1 case/100k people'] = cleaned_timeseries.apply(\n",
" shift_dates,\n",
" offset_by_location=day_location_reached_1_per_100k,\n",
" axis='columns'\n",
")\n",
"\n",
"print('columns available:')\n",
"display(cleaned_timeseries.head(10))"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"columns available:\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>city</th>\n",
" <th>county</th>\n",
" <th>state</th>\n",
" <th>country_code</th>\n",
" <th>population</th>\n",
" <th>lat</th>\n",
" <th>long</th>\n",
" <th>url</th>\n",
" <th>cases</th>\n",
" <th>deaths</th>\n",
" <th>recovered</th>\n",
" <th>active</th>\n",
" <th>tested</th>\n",
" <th>growthFactor</th>\n",
" <th>date</th>\n",
" <th>country</th>\n",
" <th>location</th>\n",
" <th>cases/deaths</th>\n",
" <th>cases per 100k capita</th>\n",
" <th>1d new recovered</th>\n",
" <th>1d new deaths</th>\n",
" <th>1d new cases</th>\n",
" <th>1d new active</th>\n",
" <th>3d new recovered</th>\n",
" <th>3d new deaths</th>\n",
" <th>3d new cases</th>\n",
" <th>3d new active</th>\n",
" <th>7d new recovered</th>\n",
" <th>7d new deaths</th>\n",
" <th>7d new cases</th>\n",
" <th>7d new active</th>\n",
" <th>Date</th>\n",
" <th>days since 100 cases</th>\n",
" <th>days since 1 case/100k people</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-22</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.002923</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-22</td>\n",
" <td>-53.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>1.500000</td>\n",
" <td>2020-01-23</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.004385</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-23</td>\n",
" <td>-52.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>1.666667</td>\n",
" <td>2020-01-24</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.007308</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-24</td>\n",
" <td>-51.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.0</td>\n",
" <td>NaN</td>\n",
" <td>1.400000</td>\n",
" <td>2020-01-25</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.010232</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-25</td>\n",
" <td>-50.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>8.0</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>NaN</td>\n",
" <td>1.142857</td>\n",
" <td>2020-01-26</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.011693</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.0</td>\n",
" <td>-1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-26</td>\n",
" <td>-49.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>8.0</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>6.0</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>2020-01-27</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.011693</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-27</td>\n",
" <td>-48.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>14.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>9.0</td>\n",
" <td>NaN</td>\n",
" <td>1.750000</td>\n",
" <td>2020-01-28</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.020464</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>6.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.0</td>\n",
" <td>2.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2020-01-28</td>\n",
" <td>-47.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>14.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>9.0</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>2020-01-29</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.020464</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>6.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>12.0</td>\n",
" <td>7.0</td>\n",
" <td>2020-01-29</td>\n",
" <td>-46.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>14.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>9.0</td>\n",
" <td>NaN</td>\n",
" <td>1.000000</td>\n",
" <td>2020-01-30</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.020464</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>6.0</td>\n",
" <td>3.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11.0</td>\n",
" <td>6.0</td>\n",
" <td>2020-01-30</td>\n",
" <td>-45.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>THA</td>\n",
" <td>68414135.0</td>\n",
" <td>13.040833</td>\n",
" <td>101.544556</td>\n",
" <td>https://github.com/CSSEGISandData/COVID-19</td>\n",
" <td>19.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>14.0</td>\n",
" <td>NaN</td>\n",
" <td>1.357143</td>\n",
" <td>2020-01-31</td>\n",
" <td>Thailand</td>\n",
" <td>Thailand</td>\n",
" <td>NaN</td>\n",
" <td>0.027772</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>5.0</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>5.0</td>\n",
" <td>5.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>14.0</td>\n",
" <td>9.0</td>\n",
" <td>2020-01-31</td>\n",
" <td>-44.0</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" city county ... days since 100 cases days since 1 case/100k people\n",
"0 NaN NaN ... -53.0 NaN\n",
"1 NaN NaN ... -52.0 NaN\n",
"2 NaN NaN ... -51.0 NaN\n",
"3 NaN NaN ... -50.0 NaN\n",
"4 NaN NaN ... -49.0 NaN\n",
"5 NaN NaN ... -48.0 NaN\n",
"6 NaN NaN ... -47.0 NaN\n",
"7 NaN NaN ... -46.0 NaN\n",
"8 NaN NaN ... -45.0 NaN\n",
"9 NaN NaN ... -44.0 NaN\n",
"\n",
"[10 rows x 34 columns]"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oXp8-DpZ1BjP",
"colab_type": "text"
},
"source": [
"## There are a lot of places. Let's filter them down to just a few"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Wt_k34pNwvgw",
"colab_type": "code",
"outputId": "ab7910d9-5e77-4c22-c2a3-53bb13e67f3f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 449
}
},
"source": [
"from IPython.display import HTML\n",
"list_content = '</li><li>'.join(cleaned_timeseries.location.unique())\n",
"HTML(\n",
" f'<ul style=\"max-height: 30em; overflow-y: scroll\"><li>{list_content}</li></ul>'\n",
")"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"<ul style=\"max-height: 30em; overflow-y: scroll\"><li>Thailand</li><li>Japan</li><li>Singapore</li><li>Nepal</li><li>Malaysia</li><li>New South Wales, Australia</li><li>Victoria, Australia</li><li>Queensland, Australia</li><li>Cambodia</li><li>Sri Lanka</li><li>Germany</li><li>Finland</li><li>United Arab Emirates</li><li>Philippines</li><li>India</li><li>Italy</li><li>Sweden</li><li>Spain</li><li>South Australia, Australia</li><li>Belgium</li><li>Egypt</li><li>Lebanon</li><li>Iraq</li><li>Oman</li><li>Afghanistan</li><li>Bahrain</li><li>Kuwait</li><li>Algeria</li><li>Croatia</li><li>Switzerland</li><li>Austria</li><li>Israel</li><li>Pakistan</li><li>Brazil</li><li>Georgia</li><li>Greece</li><li>North Macedonia</li><li>Norway</li><li>Romania</li><li>Estonia</li><li>Netherlands</li><li>San Marino</li><li>Belarus</li><li>Iceland</li><li>Lithuania</li><li>Mexico</li><li>New Zealand</li><li>Nigeria</li><li>Western Australia, Australia</li><li>Ireland</li><li>Luxembourg</li><li>Monaco</li><li>Qatar</li><li>Ecuador</li><li>Azerbaijan</li><li>Armenia</li><li>Dominican Republic</li><li>Indonesia</li><li>Portugal</li><li>Andorra</li><li>Tasmania, Australia</li><li>Latvia</li><li>Morocco</li><li>Saudi Arabia</li><li>Senegal</li><li>Argentina</li><li>Chile</li><li>Jordan</li><li>Ukraine</li><li>Hungary</li><li>Northern Territory, Australia</li><li>Liechtenstein</li><li>Poland</li><li>Tunisia</li><li>Bosnia and Herzegovina</li><li>Slovenia</li><li>South Africa</li><li>Bhutan</li><li>Cameroon</li><li>Colombia</li><li>Costa Rica</li><li>Peru</li><li>Serbia</li><li>Slovakia</li><li>Togo</li><li>French Guiana</li><li>Malta</li><li>Martinique</li><li>Bulgaria</li><li>Maldives</li><li>Bangladesh</li><li>Paraguay</li><li>Albania</li><li>Cyprus</li><li>Brunei Darussalam</li><li>WA, USA</li><li>NY, USA</li><li>CA, USA</li><li>MA, USA</li><li>GA, USA</li><li>CO, USA</li><li>FL, USA</li><li>NJ, USA</li><li>OR, USA</li><li>TX, USA</li><li>IL, USA</li><li>PA, USA</li><li>IA, USA</li><li>MD, USA</li><li>NC, USA</li><li>SC, USA</li><li>TN, USA</li><li>VA, USA</li><li>AZ, USA</li><li>IN, USA</li><li>KY, USA</li><li>DC, USA</li><li>NV, USA</li><li>NH, USA</li><li>MN, USA</li><li>NE, USA</li><li>OH, USA</li><li>RI, USA</li><li>WI, USA</li><li>CT, USA</li><li>HI, USA</li><li>OK, USA</li><li>UT, USA</li><li>Burkina Faso</li><li>Holy See</li><li>Mongolia</li><li>Panama</li><li>KS, USA</li><li>LA, USA</li><li>MO, USA</li><li>VT, USA</li><li>AK, USA</li><li>AR, USA</li><li>DE, USA</li><li>ID, USA</li><li>ME, USA</li><li>MI, USA</li><li>MS, USA</li><li>MT, USA</li><li>NM, USA</li><li>ND, USA</li><li>SD, USA</li><li>WV, USA</li><li>WY, USA</li><li>Hubei, China</li><li>Iran (Islamic Republic of)</li><li>South Korea</li><li>France</li><li>Guangdong, China</li><li>Henan, China</li><li>Zhejiang, China</li><li>Hunan, China</li><li>Anhui, China</li><li>Jiangxi, China</li><li>Shandong, China</li><li>Jiangsu, China</li><li>Chongqing, China</li><li>Sichuan, China</li><li>Heilongjiang, China</li><li>UK, UK</li><li>Denmark</li><li>Beijing, China</li><li>Shanghai, China</li><li>Hebei, China</li><li>Fujian, China</li><li>Guangxi, China</li><li>Shaanxi, China</li><li>Yunnan, China</li><li>Hainan, China</li><li>Guizhou, China</li><li>Tianjin, China</li><li>Shanxi, China</li><li>Gansu, China</li><li>Hong Kong, China</li><li>Liaoning, China</li><li>Jilin, China</li><li>Czechia</li><li>Xinjiang, China</li><li>Inner Mongolia, China</li><li>Ningxia, China</li><li>Taiwan, Province of China</li><li>Viet Nam</li><li>Russian Federation</li><li>Qinghai, China</li><li>Macau, China</li><li>Moldova, Republic of</li><li>Bolivia (Plurinational State of)</li><li>Faroe Islands, Denmark</li><li>St Martin, France</li><li>Honduras</li><li>Channel Islands, UK</li><li>Tibet, China</li><li>Congo, Democratic Republic of the</li><li>Côte d'Ivoire</li><li>Saint Barthelemy, France</li><li>Jamaica</li><li>Réunion</li><li>Turkey</li><li>Gibraltar, UK</li><li>Kitsap County, WA, USA</li><li>Solano County, CA, USA</li><li>Santa Cruz County, CA, USA</li><li>Napa County, CA, USA</li><li>Ventura County, CA, USA</li><li>Worcester County, MA, USA</li><li>Gwinnett County, GA, USA</li><li>DeKalb County, GA, USA</li><li>Floyd County, KY, USA</li><li>Fayette County, GA, USA</li><li>Gregg County, TX, USA</li><li>Monmouth County, NJ, USA</li><li>Burlington County, NJ, USA</li><li>Camden County, NJ, USA</li><li>Passaic County, NJ, USA</li><li>Union County, NJ, USA</li><li>Eagle County, CO, USA</li><li>Larimer County, CO, USA</li><li>Arapahoe County, CO, USA</li><li>Gunnison County, CO, USA</li><li>Kane County, IL, USA</li><li>Monroe County, PA, USA</li><li>Philadelphia County, PA, USA</li><li>Norfolk County, VA, USA</li><li>Arlington County, VA, USA</li><li>Spotsylvania County, VA, USA</li><li>Loudoun County, VA, USA</li><li>Prince George's County, MD, USA</li><li>Pottawattamie County, IA, USA</li><li>Kershaw County, SC, USA</li><li>Pima County, AZ, USA</li><li>Noble County, IN, USA</li><li>Adams County, PA, USA</li><li>Boone County, IN, USA</li><li>Dane County, WI, USA</li><li>Pierce County, WI, USA</li><li>Cuyahoga County, OH, USA</li><li>Weber County, UT, USA</li><li>Bennington County, VT, USA</li><li>Carver County, MN, USA</li><li>Charlotte County, FL, USA</li><li>Cherokee County, GA, USA</li><li>Collin County, TX, USA</li><li>Jefferson County, KY, USA</li><li>Jefferson County, LA, USA</li><li>Shasta County, CA, USA</li><li>Spartanburg County, SC, USA</li><li>Harrison County, KY, USA</li><li>Johnson County, IA, USA</li><li>Berkshire County, MA, USA</li><li>Davidson County, TN, USA</li><li>Douglas County, OR, USA</li><li>Fresno County, CA, USA</li><li>Harford County, MD, USA</li><li>Hendricks County, IN, USA</li><li>Hudson County, NJ, USA</li><li>Johnson County, KS, USA</li><li>Kittitas County, WA, USA</li><li>Manatee County, FL, USA</li><li>Marion County, OR, USA</li><li>Okaloosa County, FL, USA</li><li>Polk County, GA, USA</li><li>Riverside County, CA, USA</li><li>Shelby County, TN, USA</li><li>St. Louis County, MO, USA</li><li>Suffolk County, NY, USA</li><li>Ulster County, NY, USA</li><li>Volusia County, FL, USA</li><li>Fairfax County, VA, USA</li><li>Rockingham County, NH, USA</li><li>District of Columbia, USA</li><li>Montgomery County, PA, USA</li><li>Alameda County, CA, USA</li><li>Broward County, FL, USA</li><li>Lee County, FL, USA</li><li>Pinal County, AZ, USA</li><li>Rockland County, NY, USA</li><li>Saratoga County, NY, USA</li><li>Charleston County, SC, USA</li><li>Clark County, WA, USA</li><li>Cobb County, GA, USA</li><li>Davis County, UT, USA</li><li>El Paso County, CO, USA</li><li>Honolulu County, HI, USA</li><li>Jackson County, OR, USA</li><li>Jefferson County, WA, USA</li><li>Klamath County, OR, USA</li><li>Madera County, CA, USA</li><li>Pierce County, WA, USA</li><li>Tulsa County, OK, USA</li><li>Douglas County, CO, USA</li><li>Providence County, RI, USA</li><li>Chatham County, NC, USA</li><li>Delaware County, PA, USA</li><li>Douglas County, NE, USA</li><li>Fayette County, KY, USA</li><li>Marion County, IN, USA</li><li>Middlesex County, MA, USA</li><li>Nassau County, NY, USA</li><li>Ramsey County, MN, USA</li><li>Washoe County, NV, USA</li><li>Wayne County, PA, USA</li><li>Yolo County, CA, USA</li><li>Santa Clara County, CA, USA</li><li>Clark County, NV, USA</li><li>Fort Bend County, TX, USA</li><li>Grant County, WA, USA</li><li>Santa Rosa County, FL, USA</li><li>Williamson County, TN, USA</li><li>New York County, NY, USA</li><li>Montgomery County, MD, USA</li><li>Suffolk County, MA, USA</li><li>Denver County, CO, USA</li><li>Summit County, CO, USA</li><li>Bergen County, NJ, USA</li><li>Harris County, TX, USA</li><li>San Francisco County, CA, USA</li><li>Contra Costa County, CA, USA</li><li>Orange County, CA, USA</li><li>Norfolk County, MA, USA</li><li>Maricopa County, AZ, USA</li><li>Wake County, NC, USA</li><li>Westchester County, NY, USA</li><li>Grafton County, NH, USA</li><li>Hillsborough County, FL, USA</li><li>Placer County, CA, USA</li><li>San Mateo County, CA, USA</li><li>Sonoma County, CA, USA</li><li>Umatilla County, OR, USA</li><li>Fulton County, GA, USA</li><li>Washington County, OR, USA</li><li>Snohomish County, WA, USA</li><li>Humboldt County, CA, USA</li><li>Sacramento County, CA, USA</li><li>San Diego County, CA, USA</li><li>San Benito County, CA, USA</li><li>Los Angeles County, CA, USA</li><li>King County, WA, USA</li><li>Cook County, IL, USA</li><li>Skagit County, WA, USA</li><li>Thurston County, WA, USA</li><li>Whatcom County, WA, USA</li><li>Marin County, CA, USA</li><li>Calaveras County, CA, USA</li><li>Stanislaus County, CA, USA</li><li>Essex County, MA, USA</li><li>Charlton County, GA, USA</li><li>Collier County, FL, USA</li><li>Pinellas County, FL, USA</li><li>Alachua County, FL, USA</li><li>Nassau County, FL, USA</li><li>Pasco County, FL, USA</li><li>Dallas County, TX, USA</li><li>Tarrant County, TX, USA</li><li>Montgomery County, TX, USA</li><li>Middlesex County, NJ, USA</li><li>Jefferson County, CO, USA</li><li>Multnomah County, OR, USA</li><li>Polk County, OR, USA</li><li>Deschutes County, OR, USA</li><li>McHenry County, IL, USA</li><li>Lake County, IL, USA</li><li>Bucks County, PA, USA</li><li>Hanover County, VA, USA</li><li>Lancaster County, SC, USA</li><li>Sullivan County, TN, USA</li><li>Johnson County, IN, USA</li><li>Howard County, IN, USA</li><li>St. Joseph County, IN, USA</li><li>Knox County, NE, USA</li><li>Stark County, OH, USA</li><li>Anoka County, MN, USA</li><li>Olmsted County, MN, USA</li><li>Summit County, UT, USA</li><li>Fairfield County, CT, USA</li><li>Litchfield County, CT, USA</li><li>Orleans County, LA, USA</li><li>Pennington County, SD, USA</li><li>Beadle County, SD, USA</li><li>Charles Mix County, SD, USA</li><li>Davison County, SD, USA</li><li>Minnehaha County, SD, USA</li><li>Bon Homme County, SD, USA</li><li>Socorro County, NM, USA</li><li>Bernalillo County, NM, USA</li><li>Oakland County, MI, USA</li><li>Wayne County, MI, USA</li><li>New Castle County, DE, USA</li><li>Nouvelle-Aquitaine, France</li><li>MG, Brazil</li><li>RJ, Brazil</li><li>SC, Brazil</li><li>SP, Brazil</li><li>RS, Brazil</li><li>PR, Brazil</li><li>CE, Brazil</li><li>DF, Brazil</li><li>Abruzzo, Italy</li><li>Basilicata, Italy</li><li>P.A. Bolzano, Italy</li><li>Calabria, Italy</li><li>Campania, Italy</li><li>Emilia Romagna, Italy</li><li>Friuli Venezia Giulia, Italy</li><li>Lazio, Italy</li><li>Liguria, Italy</li><li>Lombardia, Italy</li><li>Marche, Italy</li><li>Molise, Italy</li><li>Piemonte, Italy</li><li>Puglia, Italy</li><li>Sardegna, Italy</li><li>Sicilia, Italy</li><li>Toscana, Italy</li><li>P.A. Trento, Italy</li><li>Umbria, Italy</li><li>Valle d'Aosta, Italy</li><li>Veneto, Italy</li><li>Hauts-de-France, France</li><li>Grand-Est, France</li><li>BA, Brazil</li><li>PE, Brazil</li><li>ES, Brazil</li><li>Zurich, Switzerland</li><li>Auvergne Rhône-Alpes, France</li><li>RN, Brazil</li><li>AL, Brazil</li><li>MS, Brazil</li><li>GO, Brazil</li><li>Normandie, France</li><li>AM, Brazil</li><li>SE, Brazil</li><li>Bourgogne-Franche-Comté, France</li><li>Saint-Barthélemy, France</li><li>Saint-Martin, France</li><li>Guadeloupe, France</li><li>Martinique, France</li><li>Guyane, France</li><li>La Réunion, France</li><li>Mayotte, France</li><li>Ile-de-France, France</li><li>Centre-Val de Loire, France</li><li>Grand Est, France</li><li>Pays de la Loire, France</li><li>Bretagne, France</li><li>Occitanie, France</li><li>Auvergne-Rhône-Alpes, France</li><li>Provence-Alpes-Côte d’Azur, France</li><li>Corse, France</li><li>Centre Val de Loire, France</li><li>Saint-Barthélémy, France</li><li>Cuba</li><li>Guyana</li><li>Australian Capital Territory, Australia</li><li>UK</li><li>Kazakhstan</li><li>French Polynesia, France</li><li>Ethiopia</li><li>Sudan</li><li>Guinea</li><li>Kenya</li><li>Antigua and Barbuda</li><li>AL, USA</li><li>Uruguay</li><li>Ghana</li><li>PR, USA</li><li>Namibia</li><li>Seychelles</li><li>Trinidad and Tobago</li><li>Venezuela (Bolivarian Republic of)</li><li>Eswatini</li><li>Gabon</li><li>Guatemala</li><li>Mauritania</li><li>Rwanda</li><li>Saint Lucia</li><li>Saint Vincent and the Grenadines</li><li>Suriname</li><li>French Guiana, France</li><li>GU, USA</li><li></li><li>Central African Republic</li><li>Congo</li><li>Equatorial Guinea</li><li>Uzbekistan</li><li>Benin</li><li>Greenland</li><li>Liberia</li><li>Curacao, Netherlands</li><li>Somalia</li><li>VI, USA</li><li>Cayman Islands, UK</li><li>Reunion, France</li><li>Barbados</li><li>Montenegro</li><li>Kyrgyzstan</li><li>Mauritius</li><li>Aruba, Netherlands</li><li>Zambia</li><li>Djibouti</li><li>Montserrat, UK</li><li>Lafourche Parish, LA, USA</li><li>Jefferson Parish, LA, USA</li><li>Orleans Parish, LA, USA</li><li>Adams County, IN, USA</li><li>Madison County, IN, USA</li><li>Hamilton County, IN, USA</li><li>Lake County, IN, USA</li><li>LaPorte County, IN, USA</li><li>Floyd County, IN, USA</li><li>Franklin County, IN, USA</li><li>Wells County, IN, USA</li><li>Bartholomew County, IN, USA</li><li>Clark County, IN, USA</li><li>Fayette County, IN, USA</li><li>Jennings County, IN, USA</li><li>Guilford County, NC, USA</li><li>Wayne County, NC, USA</li><li>Watauga County, NC, USA</li><li>Forsyth County, NC, USA</li><li>Durham County, NC, USA</li><li>Wilson County, NC, USA</li><li>Johnston County, NC, USA</li><li>Harnett County, NC, USA</li><li>Craven County, NC, USA</li><li>Sampson County, NC, USA</li><li>Onslow County, NC, USA</li><li>Brunswick County, NC, USA</li><li>Iredell County, NC, USA</li><li>Lincoln County, NC, USA</li><li>Mecklenburg County, NC, USA</li><li>Cabarrus County, NC, USA</li><li>Atlantic County, NJ, USA</li><li>Cumberland County, NJ, USA</li><li>Essex County, NJ, USA</li><li>Gloucester County, NJ, USA</li><li>Hunterdon County, NJ, USA</li><li>Mercer County, NJ, USA</li><li>Ocean County, NJ, USA</li><li>Somerset County, NJ, USA</li><li>Sussex County, NJ, USA</li><li>Warren County, NJ, USA</li><li>Morris County, NJ, USA</li><li>British Columbia, Canada</li><li>Alberta, Canada</li><li>Saskatchewan, Canada</li><li>Manitoba, Canada</li><li>Ontario, Canada</li><li>Quebec, Canada</li><li>New Brunswick, Canada</li><li>Elmore County, AL, USA</li><li>Jefferson County, AL, USA</li><li>Limestone County, AL, USA</li><li>Montgomery County, AL, USA</li><li>Tuscaloosa County, AL, USA</li><li>Clackamas County, OR, USA</li><li>Linn County, OR, USA</li><li>St. Bernard Parish, LA, USA</li><li>St. Charles Parish, LA, USA</li><li>St. Tammany Parish, LA, USA</li><li>Terrebonne Parish, LA, USA</li><li>Carroll County, IA, USA</li><li>Harrison County, IA, USA</li><li>Bell County, TX, USA</li><li>Smith County, TX, USA</li><li>Travis County, TX, USA</li><li>Miami-Dade County, FL, USA</li><li>Seminole County, FL, USA</li><li>Palm Beach County, FL, USA</li><li>Sarasota County, FL, USA</li><li>Duval County, FL, USA</li><li>Clay County, FL, USA</li><li>Columbia County, WA, USA</li><li>Grays Harbor County, WA, USA</li><li>Island County, WA, USA</li><li>Yakima County, WA, USA</li><li>(unassigned), WA, USA</li><li>Prince Edward Island, Canada</li><li>Baldwin County, AL, USA</li><li>Adams County, CO, USA</li><li>Mesa County, CO, USA</li><li>Pitkin County, CO, USA</li><li>Pueblo County, CO, USA</li><li>Weld County, CO, USA</li><li>St. John the Baptist Parish, LA, USA</li><li>Caddo Parish, LA, USA</li><li>Washington Parish, LA, USA</li><li>East Baton Rouge Parish, LA, USA</li><li>Bossier Parish, LA, USA</li><li>Ascension Parish, LA, USA</li><li>(unassigned), LA, USA</li><li>Dallas County, IA, USA</li><li>Bexar County, TX, USA</li><li>Brazoria County, TX, USA</li><li>El Paso County, TX, USA</li><li>Galveston County, TX, USA</li><li>Hays County, TX, USA</li><li>Lavaca County, TX, USA</li><li>Orange County, FL, USA</li><li>Osceola County, FL, USA</li><li>Spokane County, WA, USA</li><li>Fond du Lac County, WI, USA</li><li>Milwaukee County, WI, USA</li><li>Racine County, WI, USA</li><li>Sheboygan County, WI, USA</li><li>Waukesha County, WI, USA</li><li>Winnebago County, WI, USA</li><li>McCook County, SD, USA</li><li>Salt Lake County, UT, USA</li><li>Utah County, UT, USA</li><li>Weber-Morgan County, UT, USA</li><li>Allegheny County, PA, USA</li><li>Chester County, PA, USA</li><li>Cumberland County, PA, USA</li><li>Northampton County, PA, USA</li><li>Pike County, PA, USA</li><li>Washington County, PA, USA</li><li>Campbell County, TN, USA</li><li>Hamilton County, TN, USA</li><li>Jefferson County, TN, USA</li><li>Knox County, TN, USA</li><li>Rutherford County, TN, USA</li><li>Belmont County, OH, USA</li><li>Butler County, OH, USA</li><li>Franklin County, OH, USA</li><li>Lorain County, OH, USA</li><li>Summit County, OH, USA</li><li>Trumbull County, OH, USA</li><li>Hartford County, CT, USA</li><li>New Haven County, CT, USA</li><li>Nova Scotia, Canada</li><li>Copiah County, MS, USA</li><li>Hinds County, MS, USA</li><li>Forrest County, MS, USA</li><li>Leflore County, MS, USA</li><li>Pearl River County, MS, USA</li><li>Lee County, AL, USA</li><li>Shelby County, AL, USA</li><li>Yamhill County, OR, USA</li><li>Matagorda County, TX, USA</li><li>Citrus County, FL, USA</li><li>St. Johns County, FL, USA</li><li>Lincoln County, WA, USA</li><li>San Bernardino County, CA, USA</li><li>San Joaquin County, CA, USA</li><li>Mendocino County, CA, USA</li><li>Lehigh County, PA, USA</li><li>Luzerne County, PA, USA</li><li>Lucas County, OH, USA</li><li>Medina County, OH, USA</li><li>Tuscarawas County, OH, USA</li><li>Anne Arundel County, MD, USA</li><li>Baltimore City, MD, USA</li><li>Baltimore County, MD, USA</li><li>Carroll County, MD, USA</li><li>Charles County, MD, USA</li><li>Barking and Dagenham, UK</li><li>Barnet, UK</li><li>Barnsley, UK</li><li>Bath and North East Somerset, UK</li><li>Bedford, UK</li><li>Bexley, UK</li><li>Birmingham, UK</li><li>Blackburn with Darwen, UK</li><li>Blackpool, UK</li><li>Bolton, UK</li><li>Bournemouth, Christchurch and Poole, UK</li><li>Bracknell Forest, UK</li><li>Bradford, UK</li><li>Brent, UK</li><li>Brighton and Hove, UK</li><li>Bristol, City of, UK</li><li>Bromley, UK</li><li>Buckinghamshire, UK</li><li>Bury, UK</li><li>Calderdale, UK</li><li>Cambridgeshire, UK</li><li>Camden, UK</li><li>Central Bedfordshire, UK</li><li>Cheshire East, UK</li><li>Cheshire West and Chester, UK</li><li>Cornwall and Isles of Scilly, UK</li><li>County Durham, UK</li><li>Coventry, UK</li><li>Croydon, UK</li><li>Cumbria, UK</li><li>Darlington, UK</li><li>Derby, UK</li><li>Derbyshire, UK</li><li>Devon, UK</li><li>Doncaster, UK</li><li>Dorset, UK</li><li>Dudley, UK</li><li>Ealing, UK</li><li>East Riding of Yorkshire, UK</li><li>East Sussex, UK</li><li>Enfield, UK</li><li>Essex, UK</li><li>Gateshead, UK</li><li>Gloucestershire, UK</li><li>Greenwich, UK</li><li>Hackney and City of London, UK</li><li>Halton, UK</li><li>Hammersmith and Fulham, UK</li><li>Hampshire, UK</li><li>Haringey, UK</li><li>Harrow, UK</li><li>Hartlepool, UK</li><li>Havering, UK</li><li>Herefordshire, County of, UK</li><li>Hertfordshire, UK</li><li>Hillingdon, UK</li><li>Hounslow, UK</li><li>Isle of Wight, UK</li><li>Islington, UK</li><li>Kensington and Chelsea, UK</li><li>Kent, UK</li><li>Kingston upon Hull, City of, UK</li><li>Kingston upon Thames, UK</li><li>Kirklees, UK</li><li>Knowsley, UK</li><li>Lambeth, UK</li><li>Lancashire, UK</li><li>Leeds, UK</li><li>Leicester, UK</li><li>Leicestershire, UK</li><li>Lewisham, UK</li><li>Lincolnshire, UK</li><li>Liverpool, UK</li><li>Luton, UK</li><li>Manchester, UK</li><li>Medway, UK</li><li>Merton, UK</li><li>Milton Keynes, UK</li><li>Newcastle upon Tyne, UK</li><li>Newham, UK</li><li>Norfolk, UK</li><li>North Lincolnshire, UK</li><li>North Somerset, UK</li><li>North Tyneside, UK</li><li>North Yorkshire, UK</li><li>Northamptonshire, UK</li><li>Northumberland, UK</li><li>Nottingham, UK</li><li>Nottinghamshire, UK</li><li>Oldham, UK</li><li>Oxfordshire, UK</li><li>Peterborough, UK</li><li>Plymouth, UK</li><li>Portsmouth, UK</li><li>Reading, UK</li><li>Redbridge, UK</li><li>Redcar and Cleveland, UK</li><li>Richmond upon Thames, UK</li><li>Rochdale, UK</li><li>Rotherham, UK</li><li>Salford, UK</li><li>Sandwell, UK</li><li>Sefton, UK</li><li>Sheffield, UK</li><li>Shropshire, UK</li><li>Slough, UK</li><li>Solihull, UK</li><li>Somerset, UK</li><li>South Gloucestershire, UK</li><li>South Tyneside, UK</li><li>Southampton, UK</li><li>Southend-on-Sea, UK</li><li>Southwark, UK</li><li>St. Helens, UK</li><li>Staffordshire, UK</li><li>Stockport, UK</li><li>Stockton-on-Tees, UK</li><li>Stoke-on-Trent, UK</li><li>Suffolk, UK</li><li>Sunderland, UK</li><li>Surrey, UK</li><li>Sutton, UK</li><li>Swindon, UK</li><li>Tameside, UK</li><li>Thurrock, UK</li><li>Torbay, UK</li><li>Tower Hamlets, UK</li><li>Trafford, UK</li><li>Wakefield, UK</li><li>Walsall, UK</li><li>Waltham Forest, UK</li><li>Wandsworth, UK</li><li>Warrington, UK</li><li>Warwickshire, UK</li><li>West Berkshire, UK</li><li>West Sussex, UK</li><li>Westminster, UK</li><li>Wigan, UK</li><li>Wiltshire, UK</li><li>Windsor and Maidenhead, UK</li><li>Wirral, UK</li><li>Wokingham, UK</li><li>Wolverhampton, UK</li><li>Worcestershire, UK</li><li>York, UK</li><li>Hancock County, MS, USA</li><li>Monroe County, MS, USA</li><li>Total County, MS, USA</li><li>Benton County, OR, USA</li><li>Allamakee County, IA, USA</li><li>Polk County, IA, USA</li><li>New Castle, DE, USA</li><li>Kent, DE, USA</li><li>Sussex, DE, USA</li><li>Alachua, FL, USA</li><li>Broward, FL, USA</li><li>Charlotte, FL, USA</li><li>Citrus, FL, USA</li><li>Clay, FL, USA</li><li>Collier, FL, USA</li><li>Miami-Dade, FL, USA</li><li>Duval, FL, USA</li><li>Escambia, FL, USA</li><li>Hillsborough, FL, USA</li><li>Lake, FL, USA</li><li>Lee, FL, USA</li><li>Manatee, FL, USA</li><li>Nassau, FL, USA</li><li>Okaloosa, FL, USA</li><li>Orange, FL, USA</li><li>Osceola, FL, USA</li><li>Palm Beach, FL, USA</li><li>Pasco, FL, USA</li><li>Pinellas, FL, USA</li><li>Santa Rosa, FL, USA</li><li>Sarasota, FL, USA</li><li>Seminole, FL, USA</li><li>St. Johns, FL, USA</li><li>Volusia, FL, USA</li><li>Lewis County, WA, USA</li><li>Del Norte County, CA, USA</li><li>Outagamie County, WI, USA</li><li>Wood County, WI, USA</li><li>Bucks, PA, USA</li><li>Chester, PA, USA</li><li>Cumberland, PA, USA</li><li>Delaware, PA, USA</li><li>Lehigh, PA, USA</li><li>Luzerne, PA, USA</li><li>Monroe, PA, USA</li><li>Montgomery, PA, USA</li><li>Northampton, PA, USA</li><li>Philadelphia, PA, USA</li><li>Pike, PA, USA</li><li>Wayne, PA, USA</li><li>Washington, PA, USA</li><li>Sevier County, TN, USA</li><li>Geauga County, OH, USA</li><li>Andalucía, Spain</li><li>Aragón, Spain</li><li>Principado de Asturias, Spain</li><li>Illes Balears, Spain</li><li>Canarias, Spain</li><li>Cantabria, Spain</li><li>Castilla y León, Spain</li><li>Castilla-La Mancha, Spain</li><li>Cataluña, Spain</li><li>Comunitat Valenciana, Spain</li><li>Extremadura, Spain</li><li>Galicia, Spain</li><li>Comunidad de Madrid, Spain</li><li>Región de Murcia, Spain</li><li>Comunidad Foral de Navarra, Spain</li><li>País Vasco, Spain</li><li>La Rioja, Spain</li><li>Ceuta, Spain</li><li>Melilla, Spain</li><li>Howard County, MD, USA</li><li>Talbot County, MD, USA</li><li>Champaign County, IL, USA</li><li>Clinton County, IL, USA</li><li>Cumberland County, IL, USA</li><li>DuPage County, IL, USA</li><li>Peoria County, IL, USA</li><li>St. Clair County, IL, USA</li><li>Sangamon County, IL, USA</li><li>Whiteside County, IL, USA</li><li>Will County, IL, USA</li><li>Winnebago County, IL, USA</li><li>Woodford County, IL, USA</li><li>Harrison County, MS, USA</li><li>Jackson County, MS, USA</li><li>Madison County, AL, USA</li><li>St. Clair County, AL, USA</li><li>Adair County, IA, USA</li><li>Black Hawk County, IA, USA</li><li>Denton County, TX, USA</li><li>Webb County, TX, USA</li><li>Brevard, FL, USA</li><li>Polk, FL, USA</li><li>Albany County, NY, USA</li><li>Dutchess County, NY, USA</li><li>Orange County, NY, USA</li><li>Monroe County, NY, USA</li><li>Erie County, NY, USA</li><li>Schenectady County, NY, USA</li><li>Allegany County, NY, USA</li><li>Greene County, NY, USA</li><li>Putnam County, NY, USA</li><li>Onondaga County, NY, USA</li><li>Tompkins County, NY, USA</li><li>Broome County, NY, USA</li><li>Clinton County, NY, USA</li><li>Delaware County, NY, USA</li><li>Herkimer County, NY, USA</li><li>Tioga County, NY, USA</li><li>Montgomery County, NY, USA</li><li>Ontario County, NY, USA</li><li>Rensselaer County, NY, USA</li><li>Sullivan County, NY, USA</li><li>Wyoming County, NY, USA</li><li>Chelan County, WA, USA</li><li>Klickitat County, WA, USA</li><li>Kenosha County, WI, USA</li><li>Allegheny, PA, USA</li><li>Beaver, PA, USA</li><li>Coshocton County, OH, USA</li><li>Darke County, OH, USA</li><li>Lake County, OH, USA</li><li>Mahoning County, OH, USA</li><li>Frederick County, MD, USA</li><li>Australia</li><li>Hong Kong</li><li>Macao</li><li>Bolivar County, MS, USA</li><li>Coahoma County, MS, USA</li><li>DeSoto County, MS, USA</li><li>Madison County, MS, USA</li><li>Perry County, MS, USA</li><li>Calhoun County, AL, USA</li><li>Boulder County, CO, USA</li><li>Garfield County, CO, USA</li><li>Routt County, CO, USA</li><li>Clear Creek County, CO, USA</li><li>Grand County, CO, USA</li><li>Lane County, OR, USA</li><li>Washington County, IA, USA</li><li>Winneshiek County, IA, USA</li><li>Bowie County, TX, USA</li><li>Brazos County, TX, USA</li><li>Medina County, TX, USA</li><li>Rusk County, TX, USA</li><li>Gadsden, FL, USA</li><li>Leon, FL, USA</li><li>Sumter, FL, USA</li><li>Walton, FL, USA</li><li>Chenango County, NY, USA</li><li>Essex County, NY, USA</li><li>Hamilton County, NY, USA</li><li>Warren County, NY, USA</li><li>Washington County, NY, USA</li><li>Total Number of Positive Cases County, NY, USA</li><li>Franklin County, WA, USA</li><li>Mason County, WA, USA</li><li>Brown County, WI, USA</li><li>La Crosse County, WI, USA</li><li>Washington County, WI, USA</li><li>Berks, PA, USA</li><li>Lackawanna, PA, USA</li><li>York, PA, USA</li><li>Cheatham County, TN, USA</li><li>Robertson County, TN, USA</li><li>Sumner County, TN, USA</li><li>Ashland County, OH, USA</li><li>Delaware County, OH, USA</li><li>Huron County, OH, USA</li><li>Middlesex County, CT, USA</li></ul>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
},
"execution_count": 90
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "u7b4ygHfse-n",
"colab_type": "code",
"colab": {}
},
"source": [
"locations_of_interest = {\n",
" 'Beijing, China',\n",
" 'Hubei, China',\n",
" 'Whatcom County, WA, USA',\n",
" 'King County, WA, USA',\n",
" 'Pierce County, WA, USA',\n",
" 'WA, USA',\n",
" 'San Francisco County, CA, USA',\n",
" 'UK',\n",
" 'Italy',\n",
" 'Germany',\n",
" 'Singapore',\n",
" 'Sweden',\n",
" 'South Korea',\n",
"}\n",
"bad_locations = locations_of_interest.difference(cleaned_timeseries.location)\n",
"if bad_locations:\n",
" raise Exception(f'Bad locations: {bad_locations}')\n",
"\n",
"data_for_locations_of_interest = cleaned_timeseries[cleaned_timeseries.location.isin(locations_of_interest)]"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "jr2W4sDGz7mE",
"colab_type": "text"
},
"source": [
"# Plotting\n",
"\n",
"## Let's get down to business!\n",
"\n",
"Starting with the basics: confirmed cases over time."
]
},
{
"cell_type": "code",
"metadata": {
"id": "UOVLJ6dqz8jE",
"colab_type": "code",
"outputId": "e2c68e2e-3bb1-48d1-e153-b1171cedbe31",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 542
}
},
"source": [
"display(\n",
" px.line(\n",
" data_for_locations_of_interest,\n",
" title='Cases over time',\n",
" x='date',\n",
" y='cases',\n",
" log_y=True,\n",
" color='location'\n",
" )\n",
")"
],
"execution_count": 0,
"outputs": [
{
"output_type": "display_data",
"data": {
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"<head><meta charset=\"utf-8\" /></head>\n",
"<body>\n",
" <div>\n",
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" <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
" <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script> \n",
" <div id=\"2f06d136-5bf3-47b8-9fb6-a394396a7af9\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
" <script type=\"text/javascript\">\n",
" \n",
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
" \n",
" if (document.getElementById(\"2f06d136-5bf3-47b8-9fb6-a394396a7af9\")) {\n",
" Plotly.newPlot(\n",
" '2f06d136-5bf3-47b8-9fb6-a394396a7af9',\n",
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"source": [
"## What about deaths over time?"
]
},
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"display(\n",
" px.line(\n",
" data_for_locations_of_interest,\n",
" title='Deaths over time',\n",
" x='date',\n",
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" log_y=True,\n",
" color='location'\n",
" )\n",
")"
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"source": [
"## Interesting...\n",
"that's a similar pattern to the number of confirmed cases over time. Is there a linear relationship? Let's see."
]
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"display(\n",
" px.line(\n",
" data_for_locations_of_interest,\n",
" title='Cases/deaths over time',\n",
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" log_y=True,\n",
" color='location'\n",
" )\n",
")"
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"metadata": {
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"That's surprisingly consistent for a particular location. Let's look at that differently."
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},
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" y='cases/deaths',\n",
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" )\n",
")"
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{
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" title='Cases per capita over time<br><i>log Y axis. X axis shifted to match 1st day each location exceeded 1 case / 100k capita</i>',\n",
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")"
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{
"cell_type": "markdown",
"metadata": {
"id": "PNt0hdW4hn9N",
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"source": [
"# New active cases\n",
"\n",
"This might be a nice clear way of looking at where the disease spread is being effectively prevented. Are we \"bending the curve\"?"
]
},
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"source": [
"num_days = 1\n",
"y_column = f'{num_days}d new active'\n",
"display(\n",
" px.line(\n",
" data_for_locations_of_interest,\n",
" # data_for_locations_of_interest[~pd.np.isnan(data_for_locations_of_interest['days since 100 cases'])],\n",
" title=f'{num_days}d change in # of active cases',\n",
" # x='days since 100 cases',\n",
" x='date',\n",
" y=y_column,\n",
" hover_data=['cases', 'Date'],\n",
" # log_y=True,\n",
" color='location',\n",
" )\n",
")"
],
"execution_count": 0,
"outputs": [
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},
"metadata": {
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}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "bReeK8sjmo3-",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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