From f5019ac2754f861d7033eb2bad800ab306a4d342 Mon Sep 17 00:00:00 2001 From: Carsten Sandtner Date: Tue, 3 Mar 2020 16:49:55 +0100 Subject: [PATCH] Initial commit --- .gitignore | 18 ++ COVID-19 China.ipynb | 134 +++++++++ COVID-19 Confirmed Time Series.ipynb | 257 ++++++++++++++++ COVID-19 Deaths Time Series.ipynb | 372 +++++++++++++++++++++++ COVID-19 Recovered Time Series.ipynb | 376 ++++++++++++++++++++++++ data/03-02-2020.csv | 142 +++++++++ data/time_series_19-covid-Confirmed.csv | 143 +++++++++ data/time_series_19-covid-Deaths.csv | 143 +++++++++ data/time_series_19-covid-Recovered.csv | 143 +++++++++ 9 files changed, 1728 insertions(+) create mode 100644 .gitignore create mode 100644 COVID-19 China.ipynb create mode 100644 COVID-19 Confirmed Time Series.ipynb create mode 100644 COVID-19 Deaths Time Series.ipynb create mode 100644 COVID-19 Recovered Time Series.ipynb create mode 100644 data/03-02-2020.csv create mode 100644 data/time_series_19-covid-Confirmed.csv create mode 100644 data/time_series_19-covid-Deaths.csv create mode 100644 data/time_series_19-covid-Recovered.csv diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..41b7a4d --- /dev/null +++ b/.gitignore @@ -0,0 +1,18 @@ +# Created by https://www.gitignore.io/api/jupyternotebooks +# Edit at https://www.gitignore.io/?templates=jupyternotebooks + +### JupyterNotebooks ### +# gitignore template for Jupyter Notebooks +# website: http://jupyter.org/ + +.ipynb_checkpoints +*/.ipynb_checkpoints/* + +# IPython +profile_default/ +ipython_config.py + +# Remove previous ipynb_checkpoints +# git rm -r .ipynb_checkpoints/ + +# End of https://www.gitignore.io/api/jupyternotebooks diff --git a/COVID-19 China.ipynb b/COVID-19 China.ipynb new file mode 100644 index 0000000..bb636e1 --- /dev/null +++ b/COVID-19 China.ipynb @@ -0,0 +1,134 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Compare China overall to region Hubei\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('data/03-02-2020.csv')\n", + "df = df.drop(columns=['Last Update', 'Latitude', 'Longitude'])\n", + "\n", + "groups = df.groupby(['Country/Region'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Just get Mainland China\n", + "As I want to take a look at china, other countries could be ignored" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "china = groups.get_group('Mainland China')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get Information about confirmed infections from region Hubei and add aggregated confrmed infection from china in total. \n", + "\n", + "Add the overall number to the working datafram of hubei." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "hubei = china[china['Province/State'] == 'Hubei'][['Province/State','Confirmed']]\n", + "overall = china[['Province/State','Confirmed']]\n", + "overall = overall.sum()\n", + "\n", + "hubei['Overall'] = overall['Confirmed']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finally plot a simple bar chart" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(8,5))\n", + "\n", + "ax = plt.gca()\n", + "plt.xlabel('Region')\n", + "plt.ylabel('Confirmed infections')\n", + "\n", + "# ugly, but it works...\n", + "plt.bar(['Overall', 'Hubei'], [hubei['Overall'][0],hubei['Confirmed'][0]], color=['purple', 'red'])\n", + "plt.title('China overall vs. China region Hubei')\n", + "\n", + "plt.savefig('china_hubei.png', dpi=300)\n", + "\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.1" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/COVID-19 Confirmed Time Series.ipynb b/COVID-19 Confirmed Time Series.ipynb new file mode 100644 index 0000000..4c4c3b4 --- /dev/null +++ b/COVID-19 Confirmed Time Series.ipynb @@ -0,0 +1,257 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Covid-19: Confirmed" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get Data and clean up\n", + "Removing Lat&Long. Not needed." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('data/time_series_19-covid-Confirmed.csv')\n", + "df = df.drop(columns=['Lat', 'Long'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Group by Countries\n", + "1. Group by countries \n", + "2. get Dataframes for each country I would like to plot\n", + "3. get all aggregated\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df_group = df.groupby(['Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "germany = df_group.get_group('Germany')\n", + "china = df_group.get_group('Mainland China')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "overall = df.agg(['sum'])\n", + "overall = overall.drop(columns=['Country/Region'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize China\n", + "1. Clean data, remove columns with no numbers\n", + "2. Transpose DF" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.agg(['sum'])\n", + "china = china.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize Germany" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.agg(['sum'])\n", + "germany = germany.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transpose overall data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "overall = overall.T" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "germany.to_csv('data/confirmed_germany.csv')\n", + "china.to_csv('data/confirmed_china.csv')\n", + "overall.to_csv('data/confirmed_overall.csv')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot China & Germany in one Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "overall.plot(kind='line',y='sum',ax=ax, label=\"Overall\", color='black')\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"China\", color=\"green\")\n", + "germany.plot(kind='line',y='sum',ax=ax, color='red', label=\"Germany\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Confirmed infections')\n", + "plt.title('Confirmed COVID-19')\n", + "plt.savefig('confirmed_compared.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Germany only" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "germany.plot(kind='line',y='sum',ax=ax, color='red', label=\"Germany\")\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Confirmed infections')\n", + "plt.title('Confirmed COVID-19 for Germany')\n", + "plt.savefig('confirmed_germany.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.1" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/COVID-19 Deaths Time Series.ipynb b/COVID-19 Deaths Time Series.ipynb new file mode 100644 index 0000000..10a7288 --- /dev/null +++ b/COVID-19 Deaths Time Series.ipynb @@ -0,0 +1,372 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Covid-19: Deaths" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get Data and clean up\n", + "Removing Lat&Long. Not needed." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('data/time_series_19-covid-Deaths.csv')\n", + "df = df.drop(columns=['Lat', 'Long'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Group by Countries\n", + "1. Group by countries \n", + "2. get Dataframes for each country I would like to plot\n", + "3. get all aggregated\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df_group = df.groupby(['Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "germany = df_group.get_group('Germany')\n", + "china = df_group.get_group('Mainland China')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "overall = df.agg(['sum'])\n", + "overall = overall.drop(columns=['Country/Region'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize China\n", + "1. Clean data, remove columns with no numbers\n", + "2. Transpose DF" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.agg(['sum'])\n", + "china = china.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize Germany" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.agg(['sum'])\n", + "germany = germany.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transpose overall data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "overall = overall.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot China & Germany in one Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "overall.plot(kind='line',y='sum',ax=ax, label=\"Overall\", color='black')\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"China\", color=\"green\")\n", + "germany.plot(kind='line',y='sum',ax=ax, color='red', label=\"Germany\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Deaths COVID-19')\n", + "plt.savefig('detahs_compared.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Germany only" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "germany.plot(kind='line',y='sum',ax=ax, color='red', label=\"Germany\")\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Deaths COVID-19 for Germany')\n", + "plt.savefig('death_germany.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Confirmed <-> Deaths China" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "confirmed_cn = pd.read_csv('data/confirmed_china.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"Deaths\", color=\"green\")\n", + "confirmed_cn.plot(kind='line',y='sum',ax=ax, color='red', label=\"Confirmed\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Confirmed and deaths - COVID-19 in China')\n", + "plt.savefig('deaths_confirmed_compared.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"Deaths\", color=\"green\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Confirmed and deaths - COVID-19 in China')\n", + "plt.savefig('deaths_china.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Overall Confirmed -> Deaths" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "confirmed_overall = pd.read_csv('data/confirmed_overall.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "overall.plot(kind='line',y='sum',ax=ax, label=\"Deaths\", color=\"green\")\n", + "confirmed_overall.plot(kind='line',y='sum',ax=ax, color='red', label=\"Confirmed\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Confirmed and deaths - COVID-19 Worldwide')\n", + "plt.savefig('deaths_overall.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.1" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/COVID-19 Recovered Time Series.ipynb b/COVID-19 Recovered Time Series.ipynb new file mode 100644 index 0000000..6070bbb --- /dev/null +++ b/COVID-19 Recovered Time Series.ipynb @@ -0,0 +1,376 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Covid-19: Recovered" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get Data and clean up\n", + "Removing Lat&Long. Not needed." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('data/time_series_19-covid-Recovered.csv')\n", + "df = df.drop(columns=['Lat', 'Long'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Group by Countries\n", + "1. Group by countries \n", + "2. get Dataframes for each country I would like to plot\n", + "3. get all aggregated\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "df_group = df.groupby(['Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "germany = df_group.get_group('Germany')\n", + "china = df_group.get_group('Mainland China')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "overall = df.agg(['sum'])\n", + "overall = overall.drop(columns=['Country/Region'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize China\n", + "1. Clean data, remove columns with no numbers\n", + "2. Transpose DF" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.agg(['sum'])\n", + "china = china.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "china = china.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Clean up and summarize Germany" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.agg(['sum'])\n", + "germany = germany.drop(columns=['Province/State', 'Country/Region'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "germany = germany.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Transpose overall data" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "overall = overall.T" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot China & Germany in one Graph" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "overall.plot(kind='line',y='sum',ax=ax, label=\"Overall\", color='black')\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"China\", color=\"green\")\n", + "germany.plot(kind='line',y='sum',ax=ax, color='red', label=\"Germany\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Recovered')\n", + "plt.title('Recovered from COVID-19')\n", + "plt.savefig('recovered_compared.png', dpi=300)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Germany only" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "germany.plot(kind='line',y='sum',ax=ax, color='green', label=\"Germany\")\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Recovered')\n", + "plt.title('Recovered from COVID-19 for Germany')\n", + "plt.savefig('recovered_germany.png', dpi=300)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Confirmed <-> Deaths China" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "confirmed_cn = pd.read_csv('data/confirmed_china.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"Recovered\", color=\"green\")\n", + "confirmed_cn.plot(kind='line',y='sum',ax=ax, color='red', label=\"Confirmed\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Recovered/Confirmed')\n", + "plt.title('Confirmed and Recovered - COVID-19 in China')\n", + "plt.savefig('recovered_confirmed_compared.png', dpi=300)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "china.plot(kind='line',y='sum',ax=ax, label=\"Deaths\", color=\"green\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Deaths')\n", + "plt.title('Recovered - COVID-19 in China')\n", + "plt.savefig('recovered_china.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plot Overall Confirmed -> Recovered" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "confirmed_overall = pd.read_csv('data/confirmed_overall.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8,5))\n", + "ax = plt.gca()\n", + "\n", + "overall.plot(kind='line',y='sum',ax=ax, label=\"Recovered\", color=\"green\")\n", + "confirmed_overall.plot(kind='line',y='sum',ax=ax, color='red', label=\"Confirmed\")\n", + "\n", + "plt.xlabel('Date')\n", + "plt.ylabel('Recovered')\n", + "plt.title('Confirmed and recovered - COVID-19 Worldwide')\n", + "plt.savefig('recovered_overall.png', dpi=300)\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.1" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/data/03-02-2020.csv b/data/03-02-2020.csv new file mode 100644 index 0000000..c69fe76 --- /dev/null +++ b/data/03-02-2020.csv @@ -0,0 +1,142 @@ +Province/State,Country/Region,Last Update,Confirmed,Deaths,Recovered,Latitude,Longitude +Hubei,Mainland China,2020-03-02T15:03:23,67103,2803,33934,30.9756,112.2707 +,South Korea,2020-03-02T20:23:16,4335,28,30,36.0000,128.0000 +,Italy,2020-03-02T20:23:16,2036,52,149,43.0000,12.0000 +,Iran,2020-03-02T20:23:16,1501,66,291,32.0000,53.0000 +Guangdong,Mainland China,2020-03-02T15:03:23,1350,7,1059,23.3417,113.4244 +Henan,Mainland China,2020-03-02T11:43:03,1272,22,1205,33.8820,113.6140 +Zhejiang,Mainland China,2020-03-02T11:43:03,1206,1,1069,29.1832,120.0934 +Hunan,Mainland China,2020-03-02T11:43:03,1018,4,887,27.6104,111.7088 +Anhui,Mainland China,2020-03-02T15:03:23,990,6,917,31.8257,117.2264 +Jiangxi,Mainland China,2020-03-02T01:33:02,935,1,850,27.6140,115.7221 +Shandong,Mainland China,2020-03-02T08:03:12,758,6,460,36.3427,118.1498 +Diamond Princess cruise ship,Others,2020-03-02T14:33:03,705,6,10,35.4437,139.6380 +Jiangsu,Mainland China,2020-03-02T12:53:02,631,0,543,32.9711,119.4550 +Chongqing,Mainland China,2020-03-02T23:23:02,576,6,469,30.0572,107.8740 +Sichuan,Mainland China,2020-03-02T15:03:23,538,3,386,30.6171,102.7103 +Heilongjiang,Mainland China,2020-03-02T12:53:02,480,13,356,47.8620,127.7615 +Beijing,Mainland China,2020-03-02T02:13:16,414,8,282,40.1824,116.4142 +Shanghai,Mainland China,2020-03-02T04:03:13,337,3,292,31.2020,121.4491 +Hebei,Mainland China,2020-03-02T09:43:05,318,6,296,38.0428,114.5149 +Fujian,Mainland China,2020-03-02T12:53:02,296,1,255,26.0789,117.9874 +,Japan,2020-03-02T20:33:02,274,6,32,36.0000,138.0000 +Guangxi,Mainland China,2020-03-02T12:53:02,252,2,192,23.8298,108.7881 +Shaanxi,Mainland China,2020-03-02T08:03:12,245,1,216,35.1917,108.8701 +,France,2020-03-02T20:33:02,191,3,12,47.0000,2.0000 +Yunnan,Mainland China,2020-03-02T06:23:04,174,2,168,24.9740,101.4870 +Hainan,Mainland China,2020-03-02T02:03:18,168,5,151,19.1959,109.7453 +,Germany,2020-03-02T20:33:02,159,0,16,51.0000,9.0000 +Guizhou,Mainland China,2020-03-02T01:13:06,146,2,114,26.8154,106.8748 +Tianjin,Mainland China,2020-03-01T12:43:02,136,3,111,39.3054,117.3230 +Shanxi,Mainland China,2020-03-02T23:23:02,133,0,119,37.5777,112.2922 +Liaoning,Mainland China,2020-03-01T12:23:06,122,1,103,41.2956,122.6085 +,Spain,2020-03-02T14:43:05,120,0,2,40.0000,-4.0000 +,Singapore,2020-03-02T20:33:02,108,0,78,1.2833,103.8333 +Hong Kong,Hong Kong,2020-03-02T23:53:02,100,2,36,22.3000,114.2000 +Jilin,Mainland China,2020-03-02T15:03:23,93,1,83,43.6661,126.1923 +Gansu,Mainland China,2020-03-02T15:03:23,91,2,85,36.0611,103.8343 +Xinjiang,Mainland China,2020-03-02T15:43:31,76,3,66,41.1129,85.2401 +Inner Mongolia,Mainland China,2020-03-02T10:23:04,75,0,54,44.0935,113.9448 +Ningxia,Mainland China,2020-03-02T01:33:02,74,0,69,37.2692,106.1655 +,Kuwait,2020-03-02T20:33:02,56,0,0,29.5000,47.7500 +,Bahrain,2020-03-02T20:33:02,49,0,0,26.0275,50.5500 +Unassigned Location (From Diamond Princess),US,2020-03-02T19:53:03,45,0,0,35.4437,139.6380 +,Thailand,2020-03-02T06:23:04,43,1,31,15.0000,101.0000 +,Switzerland,2020-03-02T22:33:09,42,0,0,46.8182,8.2275 +Taiwan,Taiwan,2020-03-02T08:03:12,41,1,12,23.7000,121.0000 +,UK,2020-03-02T20:33:02,40,0,8,55.0000,-3.0000 +,Malaysia,2020-03-01T12:53:02,29,0,18,2.5000,112.5000 +,Iraq,2020-03-02T20:53:02,26,0,0,33.0000,44.0000 +,Norway,2020-03-02T20:53:02,25,0,0,60.4720,8.4689 +,United Arab Emirates,2020-02-29T12:33:03,21,0,5,24.0000,54.0000 +,Austria,2020-03-02T21:23:04,18,0,0,47.5162,14.5501 +Qinghai,Mainland China,2020-02-21T04:43:02,18,0,18,35.7452,95.9956 +,Netherlands,2020-03-02T20:53:02,18,0,0,52.1326,5.2913 +"Toronto, ON",Canada,2020-03-02T20:53:02,17,0,2,43.6532,-79.3832 +,Vietnam,2020-02-25T08:53:02,16,0,16,16.0000,108.0000 +,Sweden,2020-03-02T20:53:02,15,0,0,63.0000,16.0000 +"King County, WA",US,2020-03-02T20:23:16,14,5,1,47.5480,-121.9836 +,Lebanon,2020-03-02T20:53:02,13,0,0,33.8547,35.8623 +,Israel,2020-03-01T23:23:02,10,0,1,31.0000,35.0000 +Macau,Macau,2020-02-27T12:43:02,10,0,8,22.1667,113.5500 +Queensland,Australia,2020-02-29T02:03:10,9,0,1,-28.0167,153.4000 +Victoria,Australia,2020-03-02T00:53:03,9,0,4,-37.8136,144.9631 +"Santa Clara, CA",US,2020-03-02T20:33:02,9,0,1,37.3541,-121.9552 +,Belgium,2020-03-02T20:53:02,8,0,1,50.8333,4.0000 +British Columbia,Canada,2020-02-29T23:23:13,8,0,3,49.2827,-123.1207 +,San Marino,2020-03-02T01:03:12,8,0,0,43.9424,12.4578 +,Croatia,2020-03-01T23:33:03,7,0,0,45.1000,15.2000 +,Greece,2020-03-01T23:23:02,7,0,0,39.0742,21.8243 +New South Wales,Australia,2020-03-01T23:33:03,6,0,4,-33.8688,151.2093 +,Ecuador,2020-03-01T23:33:03,6,0,0,-1.8312,-78.1834 +,Finland,2020-03-01T23:23:02,6,0,1,64.0000,26.0000 +,Iceland,2020-03-02T22:33:09,6,0,0,64.9631,-19.0208 +,Oman,2020-02-29T12:33:03,6,0,1,21.0000,57.0000 +,India,2020-03-02T22:33:09,5,0,3,21.0000,78.0000 +,Mexico,2020-03-01T23:33:03,5,0,0,23.0000,-102.0000 +,Denmark,2020-03-01T23:33:03,4,0,0,56.2639,9.5018 +,Pakistan,2020-02-29T18:03:05,4,0,0,30.3753,69.3451 +"Cook County, IL",US,2020-03-02T20:33:02,4,0,2,41.7377,-87.6976 +"Snohomish County, WA",US,2020-03-02T20:53:02,4,1,0,48.0330,-121.8339 +,Algeria,2020-03-02T00:53:03,3,0,0,28.0339,1.6596 +South Australia,Australia,2020-02-29T02:03:10,3,0,2,-34.9285,138.6007 +,Azerbaijan,2020-03-01T02:43:03,3,0,0,40.1431,47.5769 +,Czech Republic,2020-03-02T16:33:02,3,0,0,49.8175,15.4730 +,Georgia,2020-03-01T15:43:03,3,0,0,42.3154,43.3569 +,Philippines,2020-02-12T07:43:02,3,1,1,13.0000,122.0000 +,Qatar,2020-03-01T23:33:03,3,0,0,25.3548,51.1839 +,Romania,2020-02-28T15:33:03,3,0,0,45.9432,24.9668 +,Russia,2020-03-02T21:23:04,3,0,2,60.0000,90.0000 +Western Australia,Australia,2020-03-01T02:43:03,2,1,0,-31.9505,115.8605 +,Brazil,2020-02-29T21:03:05,2,0,0,-14.2350,-51.9253 +,Egypt,2020-03-01T23:33:03,2,0,1,26.0000,30.0000 +,Indonesia,2020-03-02T18:03:04,2,0,0,-0.7893,113.9213 +,Portugal,2020-03-02T22:43:02,2,0,0,39.3999,-8.2245 +"Portland, OR",US,2020-03-02T03:33:08,2,0,0,45.5051,-122.6750 +"Providence, RI",US,2020-03-02T03:43:02,2,0,0,41.8240,-71.4128 +"Sacramento County, CA",US,2020-02-27T20:33:02,2,0,0,38.4747,-121.3542 +"San Benito, CA",US,2020-02-03T03:53:02,2,0,0,36.5761,-120.9876 +"San Diego County, CA",US,2020-02-21T05:43:02,2,0,1,32.7157,-117.1611 +,Afghanistan,2020-02-24T23:33:02,1,0,0,33.0000,65.0000 +,Andorra,2020-03-02T20:23:16,1,0,0,42.5063,1.5218 +,Armenia,2020-03-01T19:53:02,1,0,0,40.0691,45.0382 +Tasmania,Australia,2020-03-02T20:53:02,1,0,0,-41.4545,145.9707 +,Belarus,2020-02-28T16:23:03,1,0,0,53.7098,27.9534 +,Cambodia,2020-02-12T07:43:02,1,0,1,11.5500,104.9167 +" Montreal, QC",Canada,2020-02-28T05:23:07,1,0,0,45.5017,-73.5673 +"London, ON",Canada,2020-02-12T18:53:03,1,0,1,42.9849,-81.2453 +,Dominican Republic,2020-03-02T16:33:02,1,0,0,18.7357,-70.1627 +,Estonia,2020-02-27T16:23:03,1,0,0,58.5953,25.0136 +,Ireland,2020-03-01T07:13:07,1,0,0,53.1424,-7.6921 +,Latvia,2020-03-02T20:13:49,1,0,0,56.8796,24.6032 +,Lithuania,2020-02-28T16:23:03,1,0,0,55.1694,23.8813 +,Luxembourg,2020-03-01T07:13:07,1,0,0,49.8153,6.1296 +Tibet,Mainland China,2020-02-12T06:43:02,1,0,1,31.6927,88.0924 +,Monaco,2020-02-29T00:33:01,1,0,0,43.7333,7.4167 +,Morocco,2020-03-02T22:33:09,1,0,0,31.7917,-7.0926 +,Nepal,2020-02-12T14:43:03,1,0,1,28.1667,84.2500 +,New Zealand,2020-02-28T16:23:03,1,0,0,-40.9006,174.8860 +,Nigeria,2020-02-28T16:23:03,1,0,0,9.0820,8.6753 +,North Macedonia,2020-02-27T16:23:03,1,0,0,41.6086,21.7453 +,Saudi Arabia,2020-03-02T23:53:02,1,0,0,24.0000,45.0000 +,Senegal,2020-03-02T20:23:16,1,0,0,14.4974,-14.4524 +,Sri Lanka,2020-02-08T03:43:03,1,0,1,7.0000,81.0000 +"Boston, MA",US,2020-02-28T21:13:12,1,0,1,42.3601,-71.0589 +"Grafton County, NH",US,2020-03-02T20:33:02,1,0,0,43.9088,-71.8260 +"Hillsborough, FL",US,2020-03-02T03:13:25,1,0,0,27.9904,-82.3018 +"Humboldt County, CA",US,2020-02-21T05:13:09,1,0,0,40.7450,-123.8695 +"Los Angeles, CA",US,2020-02-01T19:53:03,1,0,0,34.0522,-118.2437 +"Madison, WI",US,2020-02-05T21:53:02,1,0,0,43.0731,-89.4012 +"New York City, NY",US,2020-03-02T01:53:03,1,0,0,40.7128,-74.0060 +"Orange, CA",US,2020-02-01T19:53:03,1,0,0,33.7879,-117.8531 +"Placer County, CA",US,2020-03-02T23:53:02,1,0,0,39.0916,-120.8039 +"San Antonio, TX",US,2020-02-13T18:53:02,1,0,0,29.4241,-98.4936 +"San Mateo, CA",US,2020-03-02T20:43:02,1,0,0,37.5630,-122.3255 +"Sarasota, FL",US,2020-03-02T03:23:06,1,0,0,27.3364,-82.5307 +"Sonoma County, CA",US,2020-03-02T20:53:02,1,0,0,38.5780,-122.9888 +"Tempe, AZ",US,2020-02-25T21:23:03,1,0,1,33.4255,-111.9400 +"Umatilla, OR",US,2020-03-02T20:23:16,1,0,0,45.7750,-118.7606 +From Diamond Princess,Australia,2020-02-29T02:03:10,0,0,0,35.4437,139.6380 +"Lackland, TX (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,29.3829,-98.6134 +"Omaha, NE (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,41.2545,-95.9758 +"Travis, CA (From Diamond Princess)",US,2020-02-24T23:33:02,0,0,0,38.2721,-121.9399 diff --git a/data/time_series_19-covid-Confirmed.csv b/data/time_series_19-covid-Confirmed.csv new file mode 100644 index 0000000..bbcc046 --- /dev/null +++ b/data/time_series_19-covid-Confirmed.csv @@ -0,0 +1,143 @@ +Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20 +Anhui,Mainland China,31.8257,117.2264,1,9,15,39,60,70,106,152,200,237,297,340,408,480,530,591,665,733,779,830,860,889,910,934,950,962,973,982,986,987,988,989,989,989,989,989,989,990,990,990,990 +Beijing,Mainland China,40.1824,116.4142,14,22,36,41,68,80,91,111,114,139,168,191,212,228,253,274,297,315,326,337,342,352,366,372,375,380,381,387,393,395,396,399,399,399,400,400,410,410,411,413,414 +Chongqing,Mainland China,30.0572,107.874,6,9,27,57,75,110,132,147,182,211,247,300,337,366,389,411,426,428,468,486,505,518,529,537,544,551,553,555,560,567,572,573,575,576,576,576,576,576,576,576,576 +Fujian,Mainland China,26.0789,117.9874,1,5,10,18,35,59,80,84,101,120,144,159,179,194,205,215,224,239,250,261,267,272,279,281,285,287,290,292,293,293,293,293,293,293,294,294,296,296,296,296,296 +Gansu,Mainland China,36.0611,103.8343,0,2,2,4,7,14,19,24,26,29,40,51,55,57,62,62,67,79,83,83,86,87,90,90,90,90,91,91,91,91,91,91,91,91,91,91,91,91,91,91,91 +Guangdong,Mainland China,23.3417,113.4244,26,32,53,78,111,151,207,277,354,436,535,632,725,813,895,970,1034,1095,1131,1159,1177,1219,1241,1261,1294,1316,1322,1328,1331,1332,1333,1339,1342,1345,1347,1347,1347,1348,1349,1349,1350 +Guangxi,Mainland China,23.8298,108.7881,2,5,23,23,36,46,51,58,78,87,100,111,127,139,150,168,172,183,195,210,215,222,222,226,235,237,238,242,244,245,246,249,249,251,252,252,252,252,252,252,252 +Guizhou,Mainland China,26.8154,106.8748,1,3,3,4,5,7,9,9,12,29,29,38,46,58,64,71,81,89,99,109,127,133,135,140,143,144,146,146,146,146,146,146,146,146,146,146,146,146,146,146,146 +Hainan,Mainland China,19.1959,109.7453,4,5,8,19,22,33,40,43,46,52,62,64,72,80,99,106,117,124,131,138,144,157,157,159,162,162,163,163,168,168,168,168,168,168,168,168,168,168,168,168,168 +Hebei,Mainland China,38.0428,114.5149,1,1,2,8,13,18,33,48,65,82,96,104,113,126,135,157,172,195,206,218,239,251,265,283,291,300,301,306,306,307,308,309,311,311,311,312,317,318,318,318,318 +Heilongjiang,Mainland China,47.862,127.7615,0,2,4,9,15,21,33,38,44,59,80,95,121,155,190,227,277,295,307,331,360,378,395,419,425,445,457,464,470,476,479,479,480,480,480,480,480,480,480,480,480 +Henan,Mainland China,33.88202,113.614,5,5,9,32,83,128,168,206,278,352,422,493,566,675,764,851,914,981,1033,1073,1105,1135,1169,1184,1212,1231,1246,1257,1262,1265,1267,1270,1271,1271,1271,1271,1272,1272,1272,1272,1272 +Hubei,Mainland China,30.9756,112.2707,444,444,549,761,1058,1423,3554,3554,4903,5806,7153,11177,13522,16678,19665,22112,24953,27100,29631,31728,33366,33366,48206,54406,56249,58182,59989,61682,62031,62442,62662,64084,64084,64287,64786,65187,65596,65914,66337,66907,67103 +Hunan,Mainland China,27.6104,111.7088,4,9,24,43,69,100,143,221,277,332,389,463,521,593,661,711,772,803,838,879,912,946,968,988,1001,1004,1006,1007,1008,1010,1011,1013,1016,1016,1016,1016,1017,1017,1018,1018,1018 +Inner Mongolia,Mainland China,44.0935,113.9448,0,0,1,7,7,11,15,16,19,20,23,27,34,35,42,46,50,52,54,58,58,60,61,65,68,70,72,73,75,75,75,75,75,75,75,75,75,75,75,75,75 +Jiangsu,Mainland China,32.9711,119.455,1,5,9,18,33,47,70,99,129,168,202,236,271,308,341,373,408,439,468,492,515,543,570,593,604,617,626,629,631,631,631,631,631,631,631,631,631,631,631,631,631 +Jiangxi,Mainland China,27.614,115.7221,2,7,18,18,36,72,109,109,162,240,286,333,391,476,548,600,661,698,740,771,804,844,872,900,913,925,930,933,934,934,934,934,934,934,934,934,934,935,935,935,935 +Jilin,Mainland China,43.6661,126.1923,0,1,3,4,4,6,8,9,14,14,17,23,31,42,54,59,65,69,78,80,81,83,84,86,88,89,89,89,90,91,91,91,91,93,93,93,93,93,93,93,93 +Liaoning,Mainland China,41.2956,122.6085,2,3,4,17,21,27,34,39,41,48,64,70,74,81,89,94,99,105,107,108,111,116,117,119,119,121,121,121,121,121,121,121,121,121,121,121,121,121,121,122,122 +Ningxia,Mainland China,37.2692,106.1655,1,1,2,3,4,7,11,12,17,21,26,28,31,34,34,40,43,45,45,49,53,58,64,67,70,70,70,70,71,71,71,71,71,71,71,71,72,72,73,73,74 +Qinghai,Mainland China,35.7452,95.9956,0,0,0,1,1,6,6,6,8,8,9,11,13,15,17,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18 +Shaanxi,Mainland China,35.1917,108.8701,0,3,5,15,22,35,46,56,63,87,101,116,128,142,165,173,184,195,208,213,219,225,229,230,232,236,240,240,242,245,245,245,245,245,245,245,245,245,245,245,245 +Shandong,Mainland China,36.3427,118.1498,2,6,15,27,46,75,95,130,158,184,206,230,259,275,307,347,386,416,444,466,487,497,509,523,532,537,541,543,544,546,749,750,754,755,756,756,756,756,756,758,758 +Shanghai,Mainland China,31.202,121.4491,9,16,20,33,40,53,66,96,112,135,169,182,203,219,243,257,277,286,293,299,303,311,315,318,326,328,333,333,333,334,334,335,335,335,336,337,337,337,337,337,337 +Shanxi,Mainland China,37.5777,112.2922,1,1,1,6,9,13,27,27,35,39,47,66,74,81,81,96,104,115,119,119,124,126,126,127,128,129,130,131,131,132,132,132,132,133,133,133,133,133,133,133,133 +Sichuan,Mainland China,30.6171,102.7103,5,8,15,28,44,69,90,108,142,177,207,231,254,282,301,321,344,364,386,405,417,436,451,463,470,481,495,508,514,520,525,526,526,527,529,531,534,538,538,538,538 +Tianjin,Mainland China,39.3054,117.323,4,4,8,10,14,23,24,27,31,32,41,48,60,67,69,79,81,88,91,95,106,112,119,120,122,124,125,128,130,131,132,135,135,135,135,135,136,136,136,136,136 +Tibet,Mainland China,31.6927,88.0924,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Xinjiang,Mainland China,41.1129,85.2401,0,2,2,3,4,5,10,13,14,17,18,21,24,29,32,36,39,42,45,49,55,59,63,65,70,71,75,76,76,76,76,76,76,76,76,76,76,76,76,76,76 +Yunnan,Mainland China,24.974,101.487,1,2,5,11,16,26,44,55,70,83,93,105,117,122,128,133,138,138,141,149,153,154,156,162,168,171,171,172,172,174,174,174,174,174,174,174,174,174,174,174,174 +Zhejiang,Mainland China,29.1832,120.0934,10,27,43,62,104,128,173,296,428,538,599,661,724,829,895,954,1006,1048,1075,1092,1117,1131,1145,1155,1162,1167,1171,1172,1174,1175,1203,1205,1205,1205,1205,1205,1205,1205,1205,1205,1206 +,Thailand,15,101,2,3,5,7,8,8,14,14,14,19,19,19,19,25,25,25,25,32,32,32,33,33,33,33,33,34,35,35,35,35,35,35,35,35,37,40,40,41,42,42,43 +,Japan,36,138,2,1,2,2,4,4,7,7,11,15,20,20,20,22,22,45,25,25,26,26,26,28,28,29,43,59,66,74,84,94,105,122,147,159,170,189,214,228,241,256,274 +,South Korea,36,128,1,1,2,2,3,4,4,4,4,11,12,15,15,16,19,23,24,24,25,27,28,28,28,28,28,29,30,31,31,104,204,433,602,833,977,1261,1766,2337,3150,3736,4335 +Taiwan,Taiwan,23.7,121,1,1,3,3,4,5,8,8,9,10,10,10,10,11,11,16,16,17,18,18,18,18,18,18,18,20,22,22,23,24,26,26,28,30,31,32,32,34,39,40,41 +"King County, WA",US,47.6062,-122.3321,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,6,9,14 +"Cook County, IL",US,41.8781,-87.6298,0,0,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,4 +"Tempe, AZ",US,33.4255,-111.94,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Macau,Macau,22.1667,113.55,1,2,2,2,5,6,7,7,7,7,7,8,8,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10 +Hong Kong,Hong Kong,22.3,114.2,0,2,2,5,8,8,8,10,10,12,13,15,15,17,21,24,25,26,29,38,49,50,53,56,56,57,60,62,63,68,68,69,74,79,84,91,92,94,95,96,100 +,Singapore,1.2833,103.8333,0,1,3,3,4,5,7,7,10,13,16,18,18,24,28,28,30,33,40,45,47,50,58,67,72,75,77,81,84,84,85,85,89,89,91,93,93,93,102,106,108 +,Vietnam,16,108,0,2,2,2,2,2,2,2,2,2,6,6,8,8,8,10,10,13,13,14,15,15,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16 +,France,47,2,0,0,2,3,3,3,4,5,5,5,6,6,6,6,6,6,6,11,11,11,11,11,11,11,12,12,12,12,12,12,12,12,12,12,14,18,38,57,100,130,191 +,Nepal,28.1667,84.25,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Malaysia,2.5,112.5,0,0,0,3,4,4,4,7,8,8,8,8,8,10,12,12,12,16,16,18,18,18,19,19,22,22,22,22,22,22,22,22,22,22,22,22,23,23,25,29,29 +"Toronto, ON",Canada,43.6532,-79.3832,0,0,0,0,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3,5,5,10,14,17 +British Columbia,Canada,49.2827,-123.1207,0,0,0,0,0,0,1,1,1,1,1,1,1,1,2,2,4,4,4,4,4,4,4,4,4,4,5,5,5,5,6,6,6,6,7,7,7,7,8,8,8 +"Orange, CA",US,33.7879,-117.8531,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +"Los Angeles, CA",US,34.0522,-118.2437,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +New South Wales,Australia,-33.8688,151.2093,0,0,0,0,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,6,6 +Victoria,Australia,-37.8136,144.9631,0,0,0,0,1,1,1,1,2,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,7,7,9 +Queensland,Australia,-28.0167,153.4,0,0,0,0,0,0,0,1,3,2,3,2,2,3,3,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,9,9,9 +,Cambodia,11.55,104.9167,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Sri Lanka,7,81,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Germany,51,9,0,0,0,0,0,1,4,4,4,5,8,10,12,12,12,12,13,13,14,14,16,16,16,16,16,16,16,16,16,16,16,16,16,16,17,27,46,48,79,130,159 +,Finland,64,26,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,3,6,6 +,United Arab Emirates,24,54,0,0,0,0,0,0,0,4,4,4,4,5,5,5,5,5,5,7,7,8,8,8,8,8,8,9,9,9,9,9,9,13,13,13,13,13,13,19,21,21,21 +,Philippines,13,122,0,0,0,0,0,0,0,0,1,1,1,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3 +,India,21,78,0,0,0,0,0,0,0,0,1,1,1,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,5 +"London, ON",Canada,42.9849,-81.2453,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Italy,43,12,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,20,62,155,229,322,453,655,888,1128,1694,2036 +,UK,55,-3,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,3,3,3,8,8,9,9,9,9,9,9,9,9,9,9,9,9,13,13,13,15,20,23,36,40 +,Russia,60,90,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3 +,Sweden,63,16,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,7,7,12,14,15 +"Santa Clara, CA",US,37.3541,-121.9552,0,0,0,0,0,0,0,0,0,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,9 +,Spain,40,-4,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,6,13,15,32,45,84,120 +South Australia,Australia,-34.9285,138.6007,0,0,0,0,0,0,0,0,0,0,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3 +"Boston, MA",US,42.3601,-71.0589,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +"San Benito, CA",US,36.5761,-120.9876,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +,Belgium,50.8333,4,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,8 +"Madison, WI",US,43.0731,-89.4012,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Diamond Princess cruise ship,Others,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,61,61,64,135,135,175,175,218,285,355,454,542,621,634,634,634,691,691,691,705,705,705,705,705,705 +"San Diego County, CA",US,32.7157,-117.1611,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +"San Antonio, TX",US,29.4241,-98.4936,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Egypt,26,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2 +,Iran,32,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,5,18,28,43,61,95,139,245,388,593,978,1501 +"Omaha, NE (From Diamond Princess)",US,41.2545,-95.9758,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,11,11,0,0,0,0,0,0,0,0 +"Travis, CA (From Diamond Princess)",US,38.2721,-121.9399,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,5,5,0,0,0,0,0,0,0,0 +From Diamond Princess,Australia,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,7,7,7,7,7,8,8,0,0,0 +"Lackland, TX (From Diamond Princess)",US,29.3829,-98.6134,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,0,0,0,0,0,0,0,0 +,Lebanon,33.8547,35.8623,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,2,2,2,4,10,13 +"Humboldt County, CA",US,40.745,-123.8695,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1 +"Sacramento County, CA",US,38.4747,-121.3542,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,2,2,2,2,2 +,Iraq,33,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,5,7,7,13,19,26 +Unassigned Location (From Diamond Princess),US,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,36,36,42,42,44,44,44,45 +,Oman,21,57,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,4,4,4,6,6,6 +,Afghanistan,33,65,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1 +,Bahrain,26.0275,50.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,23,33,33,36,41,47,49 +,Kuwait,29.5,47.75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,11,26,43,45,45,45,56 +,Algeria,28.0339,1.6596,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,3 +,Croatia,45.1,15.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,3,5,6,7,7 +,Switzerland,46.8182,8.2275,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,8,8,18,27,42 +,Austria,47.5162,14.5501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,3,3,9,14,18 +,Israel,31,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,2,3,4,7,10,10 +,Pakistan,30.3753,69.3451,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,4,4,4 +,Brazil,-14.235,-51.9253,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,2,2 +,Georgia,42.3154,43.3569,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,3,3 +,Greece,39.0742,21.8243,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,4,4,7,7 +,North Macedonia,41.6086,21.7453,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1 +,Norway,60.472,8.4689,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,6,15,19,25 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OR",US,45.5051,-122.675,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2 +"Snohomish County, WA",US,48.033,-121.8339,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,4 +,Ecuador,-1.8312,-78.1834,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,6,6 +,Azerbaijan,40.1431,47.5769,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3 +,Czech Republic,49.8175,15.473,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3 +,Armenia,40.0691,45.0382,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 +,Dominican Republic,18.7357,-70.1627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 +"Providence, RI",US,41.824,-71.4128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2 +"Cook County, IL",US,41.7377,-87.6976,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4 +,Indonesia,-0.7893,113.9213,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2 +,Portugal,39.3999,-8.2245,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2 +,Andorra,42.5063,1.5218,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +Tasmania,Australia,-41.4545,145.9707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +,Latvia,56.8796,24.6032,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +,Morocco,31.7917,-7.0926,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +,Saudi Arabia,24,45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +,Senegal,14.4974,-14.4524,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Grafton County, NH",US,43.9088,-71.826,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Hillsborough, FL",US,27.9904,-82.3018,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"New York City, NY",US,40.7128,-74.006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Placer County, CA",US,39.0916,-120.8039,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"San Mateo, CA",US,37.563,-122.3255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Sarasota, FL",US,27.3364,-82.5307,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Sonoma County, CA",US,38.578,-122.9888,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 +"Umatilla, OR",US,45.775,-118.7606,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 \ No newline at end of file diff --git a/data/time_series_19-covid-Deaths.csv b/data/time_series_19-covid-Deaths.csv new file mode 100644 index 0000000..8b0b291 --- /dev/null +++ b/data/time_series_19-covid-Deaths.csv @@ -0,0 +1,143 @@ +Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20 +Anhui,Mainland China,31.8257,117.2264,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,3,4,4,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6 +Beijing,Mainland China,40.1824,116.4142,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,5,7,8,8,8 +Chongqing,Mainland China,30.0572,107.874,0,0,0,0,0,0,0,0,0,0,1,2,2,2,2,2,2,2,2,2,3,3,4,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6 +Fujian,Mainland China,26.0789,117.9874,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1 +Gansu,Mainland China,36.0611,103.8343,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +Guangdong,Mainland China,23.3417,113.4244,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,2,2,2,2,4,4,5,5,5,5,6,6,7,7,7,7,7,7,7 +Guangxi,Mainland China,23.8298,108.7881,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +Guizhou,Mainland China,26.8154,106.8748,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +Hainan,Mainland China,19.1959,109.7453,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,2,2,3,3,3,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5 +Hebei,Mainland China,38.0428,114.5149,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,3,3,3,3,3,4,4,5,5,6,6,6,6,6,6,6,6,6,6 +Heilongjiang,Mainland China,47.862,127.7615,0,0,1,1,1,1,1,1,2,2,2,2,2,2,2,3,3,5,6,7,8,8,9,11,11,11,11,11,12,12,12,12,12,12,12,12,13,13,13,13,13 +Henan,Mainland China,33.88202,113.614,0,0,0,0,1,1,1,2,2,2,2,2,2,2,2,2,3,4,6,6,7,8,10,11,13,13,16,19,19,19,19,19,19,19,19,19,20,20,21,22,22 +Hubei,Mainland China,30.9756,112.2707,17,17,24,40,52,76,125,125,162,204,249,350,414,479,549,618,699,780,871,974,1068,1068,1310,1457,1596,1696,1789,1921,2029,2144,2144,2346,2346,2495,2563,2615,2641,2682,2727,2761,2803 +Hunan,Mainland China,27.6104,111.7088,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4 +Inner Mongolia,Mainland China,44.0935,113.9448,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Jiangsu,Mainland China,32.9711,119.455,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Jiangxi,Mainland China,27.614,115.7221,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Jilin,Mainland China,43.6661,126.1923,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Liaoning,Mainland China,41.2956,122.6085,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Ningxia,Mainland China,37.2692,106.1655,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Qinghai,Mainland China,35.7452,95.9956,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Shaanxi,Mainland China,35.1917,108.8701,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1 +Shandong,Mainland China,36.3427,118.1498,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,2,2,2,2,2,2,3,3,4,4,4,4,5,6,6,6,6,6,6,6 +Shanghai,Mainland China,31.202,121.4491,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,3,3,3,3,3,3,3,3,3,3 +Shanxi,Mainland China,37.5777,112.2922,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Sichuan,Mainland China,30.6171,102.7103,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3 +Tianjin,Mainland China,39.3054,117.323,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3 +Tibet,Mainland China,31.6927,88.0924,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Xinjiang,Mainland China,41.1129,85.2401,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,3,3,3,3 +Yunnan,Mainland China,24.974,101.487,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,2,2,2,2,2,2,2,2,2,2 +Zhejiang,Mainland China,29.1832,120.0934,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1 +,Thailand,15,101,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1 +,Japan,36,138,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,2,4,4,5,6,6 +,South Korea,36,128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,6,8,10,12,13,13,16,17,28 +Taiwan,Taiwan,23.7,121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +"King County, WA",US,47.6062,-122.3321,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,5 +"Cook County, IL",US,41.8781,-87.6298,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Tempe, AZ",US,33.4255,-111.94,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Macau,Macau,22.1667,113.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Hong Kong,Hong Kong,22.3,114.2,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2 +,Singapore,1.2833,103.8333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Vietnam,16,108,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,France,47,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,3 +,Nepal,28.1667,84.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Malaysia,2.5,112.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Toronto, ON",Canada,43.6532,-79.3832,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +British Columbia,Canada,49.2827,-123.1207,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Orange, CA",US,33.7879,-117.8531,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Los Angeles, CA",US,34.0522,-118.2437,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +New South Wales,Australia,-33.8688,151.2093,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Victoria,Australia,-37.8136,144.9631,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Queensland,Australia,-28.0167,153.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Cambodia,11.55,104.9167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Sri Lanka,7,81,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Germany,51,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Finland,64,26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,United Arab Emirates,24,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Philippines,13,122,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,India,21,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"London, ON",Canada,42.9849,-81.2453,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Italy,43,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,3,7,10,12,17,21,29,34,52 +,UK,55,-3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Russia,60,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Sweden,63,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Santa Clara, CA",US,37.3541,-121.9552,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Spain,40,-4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +South Australia,Australia,-34.9285,138.6007,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Boston, MA",US,42.3601,-71.0589,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"San Benito, CA",US,36.5761,-120.9876,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Belgium,50.8333,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Madison, WI",US,43.0731,-89.4012,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Diamond Princess cruise ship,Others,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,3,3,3,4,4,6,6,6,6 +"San Diego County, CA",US,32.7157,-117.1611,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"San Antonio, TX",US,29.4241,-98.4936,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Egypt,26,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Iran,32,53,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,4,5,8,12,16,19,26,34,43,54,66 +"Omaha, NE (From Diamond Princess)",US,41.2545,-95.9758,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Travis, CA (From Diamond Princess)",US,38.2721,-121.9399,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +From Diamond Princess,Australia,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Lackland, TX (From Diamond Princess)",US,29.3829,-98.6134,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Lebanon,33.8547,35.8623,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Humboldt County, CA",US,40.745,-123.8695,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Sacramento County, CA",US,38.4747,-121.3542,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Iraq,33,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Unassigned Location (From Diamond Princess),US,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 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NY",US,40.7128,-74.006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Placer County, CA",US,39.0916,-120.8039,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"San Mateo, CA",US,37.563,-122.3255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Sarasota, FL",US,27.3364,-82.5307,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Sonoma County, CA",US,38.578,-122.9888,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Umatilla, OR",US,45.775,-118.7606,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 \ No newline at end of file diff --git a/data/time_series_19-covid-Recovered.csv b/data/time_series_19-covid-Recovered.csv new file mode 100644 index 0000000..79aee28 --- /dev/null +++ b/data/time_series_19-covid-Recovered.csv @@ -0,0 +1,143 @@ +Province/State,Country/Region,Lat,Long,1/22/20,1/23/20,1/24/20,1/25/20,1/26/20,1/27/20,1/28/20,1/29/20,1/30/20,1/31/20,2/1/20,2/2/20,2/3/20,2/4/20,2/5/20,2/6/20,2/7/20,2/8/20,2/9/20,2/10/20,2/11/20,2/12/20,2/13/20,2/14/20,2/15/20,2/16/20,2/17/20,2/18/20,2/19/20,2/20/20,2/21/20,2/22/20,2/23/20,2/24/20,2/25/20,2/26/20,2/27/20,2/28/20,2/29/20,3/1/20,3/2/20 +Anhui,Mainland China,31.8257,117.2264,0,0,0,0,0,0,0,2,2,3,5,7,14,20,23,34,47,59,72,88,105,127,157,193,221,255,280,361,413,474,539,597,637,663,712,744,792,821,868,873,917 +Beijing,Mainland China,40.1824,116.4142,0,0,1,2,2,2,4,4,4,5,9,9,12,23,24,31,33,34,37,44,48,56,69,80,98,108,114,122,145,153,169,178,189,198,215,235,248,257,271,276,282 +Chongqing,Mainland China,30.0572,107.874,0,0,0,0,0,0,0,1,1,1,3,7,9,9,15,24,31,39,51,66,79,102,128,152,184,207,225,254,274,299,316,328,335,349,372,384,401,422,438,450,469 +Fujian,Mainland China,26.0789,117.9874,0,0,0,0,0,0,0,0,0,0,0,0,1,3,11,14,20,24,35,39,45,53,57,63,71,82,90,93,112,126,149,162,170,183,199,218,228,235,243,247,255 +Gansu,Mainland China,36.0611,103.8343,0,0,0,0,0,0,0,0,0,0,0,3,3,4,6,6,9,12,16,17,24,31,39,39,49,54,58,62,65,71,76,76,78,80,80,81,81,82,82,84,85 +Guangdong,Mainland China,23.3417,113.4244,0,2,2,2,2,4,4,5,10,11,14,15,21,30,49,69,88,112,141,167,212,275,314,362,410,465,524,565,606,642,690,728,755,786,822,851,890,935,983,1016,1059 +Guangxi,Mainland China,23.8298,108.7881,0,0,0,0,0,0,2,2,2,2,2,2,7,10,13,14,17,17,18,24,33,32,33,36,44,49,53,69,86,90,97,104,106,112,134,147,161,168,176,181,192 +Guizhou,Mainland China,26.8154,106.8748,0,0,0,0,0,0,0,1,1,2,2,2,2,2,9,6,6,7,7,10,17,18,27,28,41,46,57,66,70,72,77,90,102,102,104,104,112,112,112,112,114 +Hainan,Mainland China,19.1959,109.7453,0,0,0,0,0,0,0,0,1,1,1,4,4,5,5,8,10,14,19,19,20,27,30,43,39,52,59,79,84,86,95,104,106,116,124,129,131,133,148,149,151 +Hebei,Mainland China,38.0428,114.5149,0,0,0,0,0,0,0,0,0,0,0,3,3,4,6,13,22,30,34,41,48,54,68,87,101,105,122,136,152,169,184,203,219,234,248,261,274,277,282,294,296 +Heilongjiang,Mainland China,47.862,127.7615,0,0,0,0,0,0,0,0,0,0,2,2,2,4,7,8,12,13,14,30,28,31,33,47,68,79,85,111,120,136,175,204,222,227,243,249,270,283,301,342,356 +Henan,Mainland China,33.88202,113.614,0,0,0,0,0,0,0,1,2,3,3,10,16,27,47,56,86,116,153,191,218,246,296,357,391,440,509,522,573,637,736,830,868,943,1002,1033,1068,1112,1170,1198,1205 +Hubei,Mainland China,30.9756,112.2707,28,28,31,32,42,45,80,88,90,141,168,295,386,522,633,817,1115,1439,1795,2222,2639,2686,3459,4774,5623,6639,7862,9128,10337,11788,11881,15299,15343,16748,18971,20969,23383,26403,28993,31536,33934 +Hunan,Mainland China,27.6104,111.7088,0,0,0,0,0,0,0,0,2,2,8,16,22,31,54,81,112,156,186,208,247,304,339,364,425,464,498,527,561,634,661,692,714,731,768,783,804,830,846,866,887 +Inner Mongolia,Mainland China,44.0935,113.9448,0,0,0,0,0,0,0,0,0,1,1,1,1,1,3,4,5,5,5,5,5,6,6,6,7,8,8,8,10,16,17,26,27,34,35,38,43,45,49,52,54 +Jiangsu,Mainland China,32.9711,119.455,0,0,0,1,1,1,1,1,1,5,6,7,8,12,23,34,43,51,71,81,93,125,139,157,186,218,258,280,318,356,373,401,418,452,458,478,498,515,523,536,543 +Jiangxi,Mainland China,27.614,115.7221,0,0,0,0,0,2,3,3,5,7,9,12,18,20,27,37,45,55,73,105,128,152,170,187,210,240,275,310,362,433,489,555,613,645,683,719,754,790,811,831,850 +Jilin,Mainland China,43.6661,126.1923,0,0,0,0,0,0,0,0,1,1,1,1,1,1,2,4,4,4,12,13,18,22,24,25,26,30,34,36,37,43,45,52,54,60,63,65,67,73,75,78,83 +Liaoning,Mainland China,41.2956,122.6085,0,0,0,0,0,0,0,1,1,1,1,1,1,2,4,5,7,8,12,13,19,20,22,29,31,40,43,53,55,59,61,66,73,80,83,88,93,93,96,103,103 +Ningxia,Mainland China,37.2692,106.1655,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,5,15,13,13,22,24,24,24,33,33,35,42,42,44,48,48,56,58,61,65,68,68,69,69,69 +Qinghai,Mainland China,35.7452,95.9956,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,3,3,3,3,5,9,11,11,13,13,13,15,16,16,18,18,18,18,18,18,18,18,18,18,18 +Shaanxi,Mainland China,35.1917,108.8701,0,0,0,0,0,0,0,0,0,0,0,0,0,2,6,9,17,20,25,30,32,43,46,54,60,71,79,89,102,118,134,149,163,173,186,192,195,199,207,208,216 +Shandong,Mainland China,36.3427,118.1498,0,0,0,0,0,0,0,1,1,2,3,6,7,11,15,27,37,44,63,66,80,92,105,136,156,173,191,211,231,254,281,302,321,343,355,377,387,405,421,443,460 +Shanghai,Mainland China,31.202,121.4491,0,0,1,1,1,3,4,5,5,9,10,10,10,12,15,25,30,41,44,48,52,57,62,90,124,140,161,177,186,199,211,227,249,261,268,272,276,279,287,290,292 +Shanxi,Mainland China,37.5777,112.2922,0,0,0,0,0,0,0,1,1,1,1,3,2,4,5,12,15,21,25,25,30,33,36,38,46,50,53,61,68,76,78,81,88,94,98,104,107,112,114,116,119 +Sichuan,Mainland China,30.6171,102.7103,0,0,0,0,0,0,0,1,1,1,3,11,14,14,24,31,42,60,71,80,85,92,104,114,119,131,156,169,188,217,231,250,261,276,289,307,321,338,351,365,386 +Tianjin,Mainland China,39.3054,117.323,0,0,0,0,0,0,0,0,0,0,0,1,1,2,2,2,2,4,4,8,10,11,21,31,37,45,46,48,54,59,62,65,81,87,91,96,102,102,109,111,111 +Tibet,Mainland China,31.6927,88.0924,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +Xinjiang,Mainland China,41.1129,85.2401,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,6,6,10,12,12,12,20,22,24,25,28,30,30,34,43,52,62,64,66 +Yunnan,Mainland China,24.974,101.487,0,0,0,0,0,0,0,0,0,1,2,3,5,5,5,7,12,17,18,19,20,26,27,36,42,42,47,57,60,79,96,107,115,124,129,144,150,156,157,163,168 +Zhejiang,Mainland China,29.1832,120.0934,0,0,1,1,1,1,3,3,4,14,21,32,43,62,78,94,123,175,201,242,270,321,360,403,428,456,507,535,604,633,679,719,760,782,808,867,932,975,1016,1046,1069 +,Thailand,15,101,0,0,0,0,2,2,5,5,5,5,5,5,5,5,5,5,5,10,10,10,10,10,12,12,12,14,15,15,15,15,17,17,21,21,22,22,22,28,28,28,31 +,Japan,36,138,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,9,9,9,9,12,12,12,13,18,18,22,22,22,22,22,22,22,22,32,32,32 +,South Korea,36,128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,3,3,3,7,7,7,9,9,10,12,12,16,16,16,18,18,22,22,22,22,27,30,30 +Taiwan,Taiwan,23.7,121,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,5,5,5,5,6,9,9,12 +"King County, WA",US,47.6062,-122.3321,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +"Cook County, IL",US,41.8781,-87.6298,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +"Tempe, AZ",US,33.4255,-111.94,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1 +Macau,Macau,22.1667,113.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,2,3,3,3,5,5,5,5,6,6,6,6,6,7,7,8,8,8,8,8 +Hong Kong,Hong Kong,22.3,114.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,5,6,5,6,11,19,19,24,24,30,33,36,36 +,Singapore,1.2833,103.8333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,9,15,15,17,18,18,24,29,34,34,37,37,51,51,53,62,62,62,72,72,78 +,Vietnam,16,108,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,6,6,7,7,7,7,7,7,7,7,14,14,14,14,16,16,16,16,16,16,16 +,France,47,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,4,4,4,4,4,4,4,4,4,4,11,11,11,11,12,12,12 +,Nepal,28.1667,84.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Malaysia,2.5,112.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,3,3,3,3,7,7,7,13,15,15,15,15,15,18,18,18,18,18,18,18,18 +"Toronto, ON",Canada,43.6532,-79.3832,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2 +British Columbia,Canada,49.2827,-123.1207,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,3,3,3 +"Orange, CA",US,33.7879,-117.8531,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Los Angeles, CA",US,34.0522,-118.2437,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +New South Wales,Australia,-33.8688,151.2093,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4 +Victoria,Australia,-37.8136,144.9631,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4 +Queensland,Australia,-28.0167,153.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1 +,Cambodia,11.55,104.9167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Sri Lanka,7,81,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Germany,51,9,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,12,12,12,14,14,14,14,14,15,16,16,16,16,16 +,Finland,64,26,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,United Arab Emirates,24,54,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,3,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5 +,Philippines,13,122,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,India,21,78,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3 +"London, ON",Canada,42.9849,-81.2453,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +,Italy,43,12,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,1,1,3,45,46,46,83,149 +,UK,55,-3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8 +,Russia,60,90,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +,Sweden,63,16,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Santa Clara, CA",US,37.3541,-121.9552,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1 +,Spain,40,-4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +South Australia,Australia,-34.9285,138.6007,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2 +"Boston, MA",US,42.3601,-71.0589,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1 +"San Benito, CA",US,36.5761,-120.9876,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Belgium,50.8333,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1 +"Madison, WI",US,43.0731,-89.4012,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Diamond Princess cruise ship,Others,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,10,10,10,10,10,10 +"San Diego County, CA",US,32.7157,-117.1611,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1 +"San Antonio, TX",US,29.4241,-98.4936,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Egypt,26,30,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1 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CA",US,38.4747,-121.3542,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Iraq,33,44,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Unassigned Location (From Diamond Princess),US,35.4437,139.638,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Oman,21,57,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1 +,Afghanistan,33,65,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Bahrain,26.0275,50.55,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Kuwait,29.5,47.75,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Algeria,28.0339,1.6596,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Croatia,45.1,15.2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Switzerland,46.8182,8.2275,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Austria,47.5162,14.5501,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Israel,31,35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1 +,Pakistan,30.3753,69.3451,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Brazil,-14.235,-51.9253,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Georgia,42.3154,43.3569,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Greece,39.0742,21.8243,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,North Macedonia,41.6086,21.7453,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Norway,60.472,8.4689,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Romania,45.9432,24.9668,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Denmark,56.2639,9.5018,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Estonia,58.5953,25.0136,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Netherlands,52.1326,5.2913,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,San Marino,43.9424,12.4578,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Belarus,53.7098,27.9534,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +" Montreal, QC",Canada,45.5017,-73.5673,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Iceland,64.9631,-19.0208,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Lithuania,55.1694,23.8813,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Mexico,23.6345,-102.5528,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,New Zealand,-40.9006,174.886,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Nigeria,9.082,8.6753,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Western Australia,Australia,-31.9505,115.8605,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Ireland,53.1424,-7.6921,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Luxembourg,49.8153,6.1296,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Monaco,43.7333,7.4167,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Qatar,25.3548,51.1839,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Portland, OR",US,45.5051,-122.675,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Snohomish County, WA",US,48.033,-121.8339,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Ecuador,-1.8312,-78.1834,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Azerbaijan,40.1431,47.5769,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Czech Republic,49.8175,15.473,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Armenia,40.0691,45.0382,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Dominican Republic,18.7357,-70.1627,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Providence, RI",US,41.824,-71.4128,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Cook County, IL",US,41.7377,-87.6976,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2 +,Indonesia,-0.7893,113.9213,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Portugal,39.3999,-8.2245,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Andorra,42.5063,1.5218,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +Tasmania,Australia,-41.4545,145.9707,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Latvia,56.8796,24.6032,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Morocco,31.7917,-7.0926,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Saudi Arabia,24,45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +,Senegal,14.4974,-14.4524,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Grafton County, NH",US,43.9088,-71.826,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Hillsborough, FL",US,27.9904,-82.3018,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"New York City, NY",US,40.7128,-74.006,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Placer County, CA",US,39.0916,-120.8039,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"San Mateo, CA",US,37.563,-122.3255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Sarasota, FL",US,27.3364,-82.5307,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Sonoma County, CA",US,38.578,-122.9888,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +"Umatilla, OR",US,45.775,-118.7606,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 \ No newline at end of file