code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Project Presentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Team Member\n",
    "SihYi Lin(sihyiyl2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Purpose\n",
    "By finding out the relation between each country’s policies and their COVID-19 confirmed rate change, to know which policy, treatment would be the helpful to control the outbreak"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Source\n",
    "https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hypothesis\n",
    "(1) Mass test could help decrease the outbreak efficiently\n",
    "(2) Countries that people does wearing mask would have lower rate of confirmed number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "from datetime import timedelta, datetime\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read Data\n",
    "data = pd.read_csv('./data/covid_19_data.csv')\n",
    "# convert string into date\n",
    "data['ObservationDate'] = pd.to_datetime(data['ObservationDate'])\n",
    "world_mask = pd.read_csv('./data/world_mask.csv')\n",
    "world_mask['天'] = pd.to_datetime(world_mask['天'])\n",
    "italy_mask = pd.read_csv('./data/italy_mask.csv')\n",
    "italy_mask['天'] = pd.to_datetime(italy_mask['天'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def combine_state(country):\n",
    "    \"\"\"\n",
    "    Combining the confirmed number of different states in a country into total number\n",
    "    \"\"\"\n",
    "    data_by_country = data[data['Country/Region'] == country]\n",
    "    data_by_country = pd.DataFrame(data_by_country.groupby(['ObservationDate']).sum())\n",
    "    data_by_country['ObservationDate'] = data_by_country.index\n",
    "    return data_by_country\n",
    "\n",
    "def extract_country(country_name):\n",
    "    \"\"\"\n",
    "    Extract certain country from the world dataset\n",
    "    \"\"\"\n",
    "    country = data[data['Country/Region'] == country_name]\n",
    "    country = country.reset_index()\n",
    "    return country\n",
    "\n",
    "def calculate_start_outbreak_date(country):\n",
    "    \"\"\"\n",
    "    Automatically calculate when does the COVID-19 started to outbreak at the certain country\n",
    "    \"\"\"\n",
    "    rate = 0\n",
    "    i = 0\n",
    "    while rate < 10:\n",
    "        today = country['ObservationDate'][i]\n",
    "        tomorrow = today + timedelta(1)\n",
    "        tomorrow = tomorrow.strftime('%Y/%m/%d')\n",
    "        \n",
    "        today_confirmed = country['Confirmed'][country['ObservationDate'] == today]\n",
    "        tomorrow_confirmed = country['Confirmed'][country['ObservationDate'] == tomorrow]\n",
    "        \n",
    "        rate = int(tomorrow_confirmed) - int(today_confirmed)\n",
    "        i += 1\n",
    "    return country['ObservationDate'][i]\n",
    "\n",
    "def fit_regression(X_length, y):\n",
    "    \"\"\"\n",
    "    Helper function of fitting regression, return score and coefficient\n",
    "    \"\"\"\n",
    "    X = [i for i in range(X_length)]\n",
    "    v = np.ones((X_length, 1))\n",
    "    X = np.c_[v,X]\n",
    "    reg = LinearRegression().fit(X, y)\n",
    "    return reg.score(X, y), reg.coef_[1]\n",
    "\n",
    "def calculate_rate(country, start_date, end_date):\n",
    "    \"\"\"\n",
    "    Calculate the given country's increasing rate of COVID-19 confirmed number, in the given period\n",
    "    \"\"\"\n",
    "    country = country[country['ObservationDate'] > start_date]\n",
    "    country = country[country['ObservationDate'] <= end_date]\n",
    "    \n",
    "    score, rate = fit_regression(country.shape[0], country['Confirmed'])\n",
    "    \n",
    "    print('Accuracy:', score, '%')\n",
    "    print('rate:', rate)\n",
    "    \n",
    "def calculate_date_of_getting_better(country):\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extract some representative countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [],
   "source": [
    "US = combine_state('US')\n",
    "France = combine_state('France')\n",
    "Japan = extract_country('Japan')\n",
    "Italy = extract_country('Italy')\n",
    "Korea = extract_country('South Korea')\n",
    "Taiwan = extract_country('Taiwan')\n",
    "Germany = extract_country('Germany')\n",
    "UK = extract_country('UK')\n",
    "Poland = extract_country('Poland')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "germany_mask = world_mask[['天', 'masque: (法國)']]\n",
    "korea_mask = world_mask[['天', '마스크: (南韓)']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>天</th>\n",
       "      <th>Mundschutz: (德國)</th>\n",
       "      <th>masque: (法國)</th>\n",
       "      <th>mask: (美國)</th>\n",
       "      <th>口罩: (台灣)</th>\n",
       "      <th>마스크: (南韓)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-02</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2020-01-03</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2020-01-04</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2020-01-05</td>\n",
       "      <td>&lt;1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>125</td>\n",
       "      <td>2020-05-05</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>126</td>\n",
       "      <td>2020-05-06</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>127</td>\n",
       "      <td>2020-05-07</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>128</td>\n",
       "      <td>2020-05-08</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>129</td>\n",
       "      <td>2020-05-09</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>130 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             天 Mundschutz: (德國)  masque: (法國)  mask: (美國) 口罩: (台灣) 마스크: (南韓)\n",
       "0   2020-01-01               <1             1           1       <1         1\n",
       "1   2020-01-02               <1             1           1        1         1\n",
       "2   2020-01-03               <1             1           1       <1         1\n",
       "3   2020-01-04               <1             1           1        1         1\n",
       "4   2020-01-05               <1             2           2        1         1\n",
       "..         ...              ...           ...         ...      ...       ...\n",
       "125 2020-05-05                4            31           8       10         3\n",
       "126 2020-05-06                3            25           8        9         4\n",
       "127 2020-05-07                3            22           8        8         4\n",
       "128 2020-05-08                3            21           8        7         4\n",
       "129 2020-05-09                2            20           9        6         3\n",
       "\n",
       "[130 rows x 6 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "world_mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "## Plot each country's rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\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>SNo</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "      <th>ObservationDate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ObservationDate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>32</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>70</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>237</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>319</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>818</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2020-01-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>1170704</td>\n",
       "      <td>1069424.0</td>\n",
       "      <td>62996.0</td>\n",
       "      <td>153947.0</td>\n",
       "      <td>2020-04-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>1189438</td>\n",
       "      <td>1103461.0</td>\n",
       "      <td>64943.0</td>\n",
       "      <td>164015.0</td>\n",
       "      <td>2020-05-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-05-02</td>\n",
       "      <td>1208172</td>\n",
       "      <td>1132539.0</td>\n",
       "      <td>66369.0</td>\n",
       "      <td>175382.0</td>\n",
       "      <td>2020-05-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-05-03</td>\n",
       "      <td>1226906</td>\n",
       "      <td>1158040.0</td>\n",
       "      <td>67682.0</td>\n",
       "      <td>180152.0</td>\n",
       "      <td>2020-05-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2020-05-04</td>\n",
       "      <td>1245640</td>\n",
       "      <td>1180375.0</td>\n",
       "      <td>68922.0</td>\n",
       "      <td>187180.0</td>\n",
       "      <td>2020-05-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>104 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     SNo  Confirmed   Deaths  Recovered ObservationDate\n",
       "ObservationDate                                                        \n",
       "2020-01-22            32        1.0      0.0        0.0      2020-01-22\n",
       "2020-01-23            70        1.0      0.0        0.0      2020-01-23\n",
       "2020-01-24           237        2.0      0.0        0.0      2020-01-24\n",
       "2020-01-25           319        2.0      0.0        0.0      2020-01-25\n",
       "2020-01-26           818        5.0      0.0        0.0      2020-01-26\n",
       "...                  ...        ...      ...        ...             ...\n",
       "2020-04-30       1170704  1069424.0  62996.0   153947.0      2020-04-30\n",
       "2020-05-01       1189438  1103461.0  64943.0   164015.0      2020-05-01\n",
       "2020-05-02       1208172  1132539.0  66369.0   175382.0      2020-05-02\n",
       "2020-05-03       1226906  1158040.0  67682.0   180152.0      2020-05-03\n",
       "2020-05-04       1245640  1180375.0  68922.0   187180.0      2020-05-04\n",
       "\n",
       "[104 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Plot each country's rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot each country's rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Germany"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(germany_mask['天'], germany_mask['masque: (法國)'])\n",
    "plt.title('Germany search masque(mask) google trend')\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('search count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-02-26 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(Germany['ObservationDate'], Germany['Confirmed'])\n",
    "plt.title('Germany COVID-19 confirmed number')\n",
    "plt.xlabel('date')\n",
    "plt.ylabel('search count')\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(Germany)\n",
    "print('outbreak at:', outbreak_date)\n",
    "\n",
    "calculate_rate(Germany, outbreak_date, '2020/04/10')\n",
    "calculate_rate(Germany, '2020/04/10', '2020/05/04')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Start doing more than 100,000 tests daily at early April\n",
    "* daily rate of confirmed number: 2990 -> 1780"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### US"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-02-21 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(US.index, US['Confirmed'])\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(US)\n",
    "print('outbreak at:', outbreak_date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* daily rate of confirmed number: 17397\n",
    "* US has tested at just 74 percent the rate of South Korea"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Italy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-02-21 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(Italy['ObservationDate'], Italy['Confirmed'])\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(Italy)\n",
    "print('outbreak at:', outbreak_date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Korea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(korea_mask['天'], korea_mask['마스크: (南韓)'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 356,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-02-20 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(Korea['ObservationDate'], Korea['Confirmed'])\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(Korea)\n",
    "print('outbreak at:', outbreak_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.9557968962673828 %\n",
      "rate: 482.11648351648347\n",
      "Accuracy: 0.9817747131667831 %\n",
      "rate: 110.2643467643468\n",
      "Accuracy: 0.8649554186899557 %\n",
      "rate: 21.647727272727277\n"
     ]
    }
   ],
   "source": [
    "calculate_rate(Korea, outbreak_date, '2020/03/05')\n",
    "calculate_rate(Korea, '2020/03/05', '2020/04/01')\n",
    "calculate_rate(Korea, '2020/04/01', '2020/05/04')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* By mid-March, 270,000 South Koreans had been tested\n",
    "* daily rate of confirmed number: 482 -> 110 -> 21"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Taiwan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4YgUAGLOnt1drVdFErVk42e1SgLBEsAIAjMm+ujaVN7Rr7ZJ8t0sBwhbBCgAwJutKahRjpOsXEqyA0yFYAQBGZa3VupJarZ6Zrdw0LlsDnA7BCgAwqj01rTrY1KGblkxxuxQgrBGsAACjWldSq7gYozXnMWgdGAnBCgAwooFuwBpdPDtHWSkJbpcDhDWCFQBgRDurfKo61qW1ixm0DoyGYAUAGNG6nTVKiI3RtXQDAqMiWAEATisQGDgb8LK5OcqYEO92OUDYI1gBAE7rvSPHVNfarbWLORsQGAuCFQDgtNbtrFFiXIyuXjDJ7VIATyBYAQCG5Q9YPb+7TlfMy1NqYpzb5QCeQLACAAzr3cpmNbb1cG1A4AwQrAAAH9DT79e/rNur3LREXTWfbkBgrDi2CwD4gJ++XK6yujY9dNdKTUiIdbscwDNGPWJljEkyxmw2xuw0xuwxxvyzs3yGMWaTMabcGPOYMSbBWZ7oPK5w1heF9lcAAATTtiPH9Is3DuijKwt1VTFHq4AzMZauwB5JV1prl0haKmmNMWa1pO9L+rG1do6kY5Ludra/W9Ixa+1sST92tgMAeEBXr19f/sNO5WdM0D+uXeB2OYDnjBqs7IB252G882MlXSnpcWf5w5Juce7f7DyWs/4qY4wJWsUAgJB54MUyVTZ16IHbFystiQlBgTM1psHrxphYY8wOSQ2SNkg6IOm4tbbf2aRKUoFzv0DSUUly1vskZQezaABA8P3pQJN+8/Yh3XXhdF08O8ftcgBPGlOwstb6rbVLJRVKWiWpeLjNnNvhjk7ZoQuMMfcYY7YaY7Y2NjaOtV4AQAi09/TrH/6nRDNyUnT/9cN9xAMYizOabsFae1zS65JWS8o0xpw4q7BQUo1zv0rSVEly1mdIahnmtR601q601q7Mzc09u+oBAEHx6OYjqj7epR/cvpizAIFzMJazAnONMZnO/QmSrpZUKuk1Sbc7m90l6Rnn/rPOYznrX7XWfuCIFQAgfDy5rVpLCjO0smii26UAnjaWI1b5kl4zxpRI2iJpg7V2naT7JH3JGFOhgTFUDznbPyQp21n+JUn3B79sAECw7Ktr097aVt2yrGD0jQGMaNQJQq21JZKWDbO8UgPjrYYu75Z0R1CqAwCE3JPbqxQbY3TTkilulwJ4Hpe0AYAo5g9YPbO9RpfPzVVOaqLb5QCeR7ACgCj2bmWz6lq7dSvdgEBQEKwAIIo9ua1aaYlxumYBl64BgoFgBQBRqqvXr/W7a3X9oslKimeKBSAYCFYAEKVe2lunjl6/bl1W6HYpQMQgWAFAlHpqe7UKMifoghnMXQUEC8EKAKJQY1uPNpY36ealUxQTM9yVyACcDYIVAEShZ3fWyB+wum05ZwMCwUSwAoAo9NT2Ki0qyNDsvDS3SwEiCsEKAKJMeX2bdle3MncVEAIEKwCIMn/cWaMYI61dku92KUDEIVgBQBSx1mpdSa1Wz8xWXlqS2+UAEYdgBQBRZG9tqyqbOrR2MRdcBkKBYAUAUWRdSa1iY4zWLJzsdilARCJYAUCUGOgGrNHFs3M0MSXB7XKAiESwAoAoUVLl09GWLq1dzKB1IFQIVgAQJdaV1Cg+1ui6BXQDAqFCsAKAKBAIDJwNeNmcXGUkx7tdDhCxCFYAEAW2HTmmWl+3blrC2YBAKBGsACAKrCupVWJcjK5eMMntUoCIRrACgAjnD1g9t6tWV8zLU2pinNvlABGNYAUAEW7zwRY1tvVwCRtgHBCsACDCrSup0YT4WF05P8/tUoCIR7ACgAjW7w9o/e46XVWcp+QEugGBUCNYAUAEe/tAs5o7erk2IDBOCFYAEMGe2laljAnxumJ+rtulAFGBYAUAEaqjp18v7qnXjYvzlRgX63Y5QFQgWAFAhFq/u05dfX7dtqzA7VKAqEGwAoAI9dT2ak2bmKwV07PcLgWIGgQrAIhAdb5uvX2gSbcsK5Axxu1ygKhBsAKACPTMjmpZK91KNyAwrghWABCBntperWXTMjUjJ8XtUoCoQrACgAizt6ZVZXVtDFoHXECwAoAI89T2KsXFGN3IpKDAuCNYAUAE8QesntlRow/Ny9PElAS3ywGiDsEKACLI2xVNamjr0W3L6QYE3ECwAoAI8tT2aqUlxenK+XlulwJEJYIVAESIzt5+rd9dp7WL85UUzyVsADcQrAAgQry+r1FdfX7dtIRB64BbCFYAECHW767TxJQErSqa6HYpQNQiWAFABOjp9+vVsgZdUzxJcbF8tANu4X8fAESAP1U0q72nX2sWTna7FCCqEawAIAKs312n1MQ4XTQ72+1SgKhGsAIAj+v3B7ShtF5Xzs9TYhxnAwJuIlgBgMdtOXRMLR29dAMCYYBgBQAe9+KeOiXGxejyublulwJEPYIVAHhYIGC1fnedLpubq5TEOLfLAaIewQoAPKyk2qe61m6tOY9uQCAcEKwAwMNe3FOnuBijq4q5NiAQDghWAOBR1g50A144K1uZyQlulwNABCsA8KzyhnYdbOrQdXQDAmGDYAUAHrV+d52Mka5dMMntUgA4CFYA4FHrd9dpxbQs5aUnuV0KAAfBCgA8qOZ4l/bWtura8zhaBYQTghUAeNBb5U2SpMvncjYgEE4IVgDgQW+WNyovLVFzJ6W6XQqAQQhWAOAx/oDVWxVNunROrowxbpcDYBCCFQB4zJ4an4539unSOTlulwJgCIIVAHjMRmd81cWzCVZAuCFYAYDHbCxv1IL8dOWmJbpdCoAhCFYA4CEdPf167/AxugGBMEWwAgAP2XywRX1+q0vn5LpdCoBhEKwAwEPeLG9UYlyMVhZluV0KgGEQrADAQzaWN2nVjIlKio91uxQAwyBYAYBH1Pq6VNHQrsvoBgTCFsEKADzixDQLlzBwHQhbBCsA8IiN5U3KSU3U/MlpbpcC4DQIVgDgAYGA1dsVTbpsTg6XsQHCGMEKADxgb22rWjp66QYEwhzBCgA84M3yRknSJVzGBghrBCsA8IC3yps0f3Ka8tKT3C4FwAgIVgAQ5jp7+7X1EJexAbyAYAUAYW7TwRb1+gNcxgbwAIIVAIS5jfublBAXo1UzJrpdCoBREKwAIMy9VdGoVUVcxgbwAoIVAISxOl+39te3M74K8AiCFQCEsY3ONAuMrwK8gWAFAGHsrYom5aQmcBkbwCMIVgAQpgIBq7fKm3TJ7BzFxHAZG8ALCFYAEKb21raquaOXbkDAQwhWABCm3qpokiSuDwh4yKjByhgz1RjzmjGm1Bizxxhzr7N8ojFmgzGm3LnNcpYbY8zPjDEVxpgSY8zyUP8SABCJNpY3at6kNE3iMjaAZ4zliFW/pL+31hZLWi3pc8aYBZLul/SKtXaOpFecx5J0vaQ5zs89kn4e9KoBIMJ19fq15SCXsQG8ZtRgZa2ttdZuc+63SSqVVCDpZkkPO5s9LOkW5/7Nkh6xA96VlGmMyQ965QAQwTYfGriMDd2AgLec0RgrY0yRpGWSNkmaZK2tlQbCl6Q8Z7MCSUcHPa3KWQYAGKON+xuVEBujC2Zku10KgDMw5mBljEmV9ISkv7XWto606TDL7DCvd48xZqsxZmtjY+NYywCAqLCxvEnnz8jShAQuYwN4yZiClTEmXgOh6r+ttU86i+tPdPE5tw3O8ipJUwc9vVBSzdDXtNY+aK1daa1dmZvLqcQAcEJDa7f21bfpktl8NgJeM5azAo2khySVWmt/NGjVs5Lucu7fJemZQcs/6ZwduFqS70SXIQBgdBvLB6ZZYOA64D1xY9jmYkmfkLTLGLPDWfa/JX1P0h+MMXdLOiLpDmfd85JukFQhqVPSXwa1YgCIcBvLG5WdkqAF+elulwLgDI0arKy1b2n4cVOSdNUw21tJnzvHugAgKllr9acDzbqIy9gAnsTM6wAQRupau9XQ1qMV0zLdLgXAWSBYAUAY2Xn0uCRpyVSCFeBFBCsACCM7jvoUF2NUzPgqwJMIVgAQRkqqjqs4P11J8cxfBXgRwQoAwkQgYFVS5dOSqRlulwLgLBGsACBMVDa1q72nX4sLGV8FeBXBCgDCxM6jPknSUgauA55FsAKAMLGz6rhSEmI1KzfV7VIAnCWCFQCEiZ1VPi0syFAsE4MCnkWwAoAw0NPvV2lNK92AgMcRrAAgDJTVtqnXH2DgOuBxBCsACAMlVSdmXGeqBcDLCFYAEAZ2HPUpJzVBBZkT3C4FwDkgWAFAGCipOq7FhZkyhoHrgJcRrADAZW3dfapobNcSxlcBnkewAgCX7ar2yVppMeOrAM8jWAGAy0qqBmZc54gV4H0EKwBw2c6jxzVtYrImpiS4XQqAc0SwAgCX7Tx6XIsL6QYEIgHBCgBc1NDWrRpfNzOuAxGCYAUALio56oyvIlgBEYFgBQAuKqk6rhgjnTcl3e1SAAQBwQoAXLSjyqe5k9KUnBDndikAgoBgBQAuae/p16bKZl0wY6LbpQAIEoIVALjk5b316ukPaO2SKW6XAiBICFYA4JJ1JTWanJ6kFdOy3C4FQJAQrADABb6uPr2xv1E3Ls5XTAwXXgYiBcEKAFzw0p469fmt1i7Od7sUAEFEsAIAF6wrqVVh1gQmBgUiDMEKAMbZsY5evV3RpBsX58sYugGBSEKwAoBxtn5PnfoDVjct5mxAINIQrABgnK0rqVFRdjKzrQMRiGAFAOOosa1H7xxo1k1LptANCEQgghUAjKMXdtcqYKW1dAMCEYlgBQDjaN3OWs3JS9W8yWlulwIgBAhWADBO6nzd2nK4haNVQAQjWAHAOHluV62sldYuYVJQIFIRrABgnLywq1bF+emalZvqdikAQoRgBQDjoLm9R+8dOaZrF0xyuxQAIUSwAoBx8GpZg6yVriFYARGNYAUA4+CV0gZNTk9iUlAgwhGsACDEuvv8erO8UVcW5zEpKBDhCFYAEGLvVjars9eva4rpBgQiHcEKAELsldIGTYiP1YWzst0uBUCIEawAIISstXqltF6XzslRUnys2+UACDGCFQCE0N7aVtX4unU13YBAVCBYAUAIvVLaIGOkK+bnuV0KgHFAsAKAEHq5tF5Lp2YqNy3R7VIAjAOCFQCESH1rt0qqfHQDAlGEYAUAIfJqWYMkEayAKEKwAoAQeXlvvQqzJmjuJC66DEQLghUAhEBXr19vVTTp6uJJzLYORBGCFQCEwNsVTerpD9ANCEQZghUAhMArZQ1KTYzTqhkT3S4FwDgiWAFACGw/ckwri7KUEMfHLBBN+B8PAEHW1evX/vo2LSrIcLsUAOOMYAUAQba3tlUBK4IVEIUIVgAQZLuqjkuSFhdmulwJgPFGsAKAICup9iknNVGT0rmMDRBtCFYAEGS7q31aXJjB/FVAFCJYAUAQdfT0q6KhXQsZXwVEJYIVAATRiYHriwlWQFQiWAFAEO2q8kmSFhUSrIBoRLACgCDaVe1TXlqiJqUnuV0KABcQrAAgiHY5A9cBRCeCFQAESXtPvw40tmtRAfNXAdGKYAUAQbKn2idrpUWF6W6XAsAlBCsACJJd1QMD15lqAYheBCsACJJd1T5NTk9SXhoD14FoRbACgCDZVe1jmgUgyhGsACAI2rr7VNnYwcSgQJQjWAFAEOyubpUkLeSIFRDVCFYAEAS7nYHrizhiBUQ1ghUABEFJtU9TMpKUk5rodikAXESwAoAg2M3AdQAiWAHAOfN19elgU4cWFzLjOhDtCFYAcI72MDEoAAfBCgDO0S4GrgNwEKwA4By0dffpkXcOa/7kNE1MSXC7HAAuI1gBwDn41rpS1fq69J3bFrldCoAwQLACgLP0alm9Htt6VJ+9fJaWT8tyuxwAYYBgBQBn4VhHr+57YpfmT07TvVfPcbscAGFi1GBljPm1MabBGLN70LKJxpgNxphy5zbLWW6MMT8zxlQYY0qMMctDWTwAuOX/PLtHxzt79aOPLlViXKzb5QAIE2M5YvWfktYMWXa/pFestXMkveI8lqTrJc1xfu6R9PPglAkA4WNdSY3+uLNG9141RwumpLtdDoAwMmqwsta+KallyOKbJT3s3H9Y0i2Dlj9iB7wrKdMYkx+sYgHAbQ1t3frHp3drSWGGPnv5LLfLARBmznaM1SRrba0kObd5zvICSZGQfGAAABQbSURBVEcHbVflLPsAY8w9xpitxpitjY2NZ1kGAIyvh946qPaefv3rR5cqLpZhqgBOFexPBTPMMjvchtbaB621K621K3Nzc4NcBgCExqbKFi2dmqnZealulwIgDJ1tsKo/0cXn3DY4y6skTR20XaGkmrMvDwDCR1evX7urfTq/aKLbpQAIU2cbrJ6VdJdz/y5Jzwxa/knn7MDVknwnugwBwOu2Hz2m/oAlWAE4rbjRNjDG/F7ShyTlGGOqJP2TpO9J+oMx5m5JRyTd4Wz+vKQbJFVI6pT0lyGoGQBcsfXQMRkjLZ/OZKAAhjdqsLLW/vlpVl01zLZW0ufOtSgACEdbDrVo3qQ0ZUyId7sUAGGKU1oAYAz6/QFtO3xMq2bQDQjg9AhWADAGpbVt6uj1ayXjqwCMgGAFAGOw+dDAPMmrCFYARkCwAoAx2HqoRVMnTtDkjCS3SwEQxghWADAKa622HGrR+dM5WgVgZAQrABjFwaYONbX36nwGrgMYBcEKAEax9dAxSdL5RcxfBWBkBCsAGMXmQy3KSo7XrFyuDwhgZAQrABjF1kMtWlk0UcYMd515AHgfwQoARtDQ1q1DzZ1MswBgTAhWADCCLQcHxletZHwVgDEgWAHACLYcatGE+FgtLMhwuxQAHkCwAoARbDnUomXTMhUfy8clgNHxSQEAp9HW3afS2lauDwhgzAhWAHAa244cV8ByfUAAY0ewAoDT+MOWo0pOiNWyaZlulwLAIwhWADCM7UeO6bldtfqrS2cqJTHO7XIAeATBCgCGsNbquy+UKSc1QX912Uy3ywHgIQQrABjildIGbT7YonuvmqNUjlYBOAMEKwAYpN8f0PfXl2lGToo+tmqa2+UA8BiCFQAM8sS2KpU3tOsr181j7ioAZ4xPDQBwdPX69aMN+7VsWqbWLJzsdjkAPIhgBQCOX799UPWtPfrq9cUyxrhdDgAPIlgBgKSWjl794vUDurp4klbNYEJQAGeHYAUAkr75xz3q6vPrvjXz3C4FgIcRrABEvRd21erpHTX6wpVzNGdSmtvlAPAwghWAqNbY1qOvPb1biwoy9DdXzHK7HAAeR7ACELWstfraU7vU3tOvf/3oEqZXAHDO+BQBELWe2l6tl/bW68vXztVcugABBAHBCkBUqvV16Z+e3aPzi7J09yVcDxBAcBCsAEQda62+8niJ+v1WP7xjiWJjmLMKQHAQrABEnZ++Uq6N5U363zfM1/TsFLfLARBBCFYAosp/vXtYP3m5XB9ZXqiPr57udjkAIgzBCkDUeGFXrf7xmd26cn6evveRRVy2BkDQEawARIV3DjTr3kd3aNnUTP37XyxnagUAIcEnC4CIt6fGp3se2arp2cn69afO14SEWLdLAhCh4twuAABCxVqrV8sadN8Tu5SWFKdH7l6lzOQEt8sCEMEIVgAiUknVcX3n+VK9W9mimTkpevCTK5SfMcHtsgBEOIIVgIhytKVTP3xpn57ZUaPslAT9y83n6WOrpjGmCsC4IFgB8CRrraqOdam0tlWltW0Dt3WtOtzcqaT4GH3+itn668tnKi0p3u1SAUQRghWAsNfd59e+Oic8nQhSda1q6+6XJBkjFWWn6Lwp6bp9eaFuX1lItx8AVxCsAISVQMBq86EWbTtyTHtrBoLUwaYOBezA+pSEWM3PT9fNS6eoOD9dxfnpmjcpTSmJfJwBcB+fRADCQkVDm57cVq2nt1erxtctSSrInKDi/HTduChfxfnpWjAlXVOzkhXDtf0AhCmCFYCz1trdpzJnfFN9a/dZvYbfWr1zoFklVT7FxhhdNidHX72hWJfNzVXGBMZHAfAWghWAMTve2as/ltTqzf2NKq1tVdWxrpPr4mKMzvYKMXPy0vT1G4v14aVTlJeWFKRqAWD8EawAjKi3P6A39jfqifeq9GpZg3r9AU3PTtaSqZn681XTtMAZ5zQpPZFr7wGIegQrIEpZa1Xr6z45QLy0rlVHWjoVCJy6Xa2vS8c6+5STmqCPr56u25YX6Lwp6YQoABgGwQqIAt19fpXXt58MUCemLPB19Z3cZtrEZM3MTVFczKkTac7PT9Paxfm6dE4uk2wCwCgIVkCEaW7v0e4TR6FqW7W3plWVTR3yO/MVTIiP1bzJabphUb4WTElX8eQ0zZucxkSaABAEBCsggjz+XpXuf6JE/U6ImpKRpOL8dF133mRnzqc0Tc9OUSzTFQBASBCsgAjxyzcr9e3nS3XJ7Bx97orZKs5PU2ZygttlAUBUIVgBHmet1ffX79Mv3jigGxfl60d/tkSJcbFulwUAUYlgBXhYvz+grz21W49tPao7L5imb968kG4+AHARwQrwIGut9tS06scb9uuVsgZ98crZ+rtr5jIFAgC4jGAFeEidr1tP76jWk9uqtL++XQmxMfrGTQv0qYtnuF0aAEAEKyAs9PsDqmzqODk9Qlldmzp7+0/Zpqc/oF3VPlkrrZiepW/fulBrF01RRjLTJABAuCBYAePseGevSp0LF5+YsHN/fbt6+wemPE+IjdGsvFRlDQlMCXEx+sKVc3TrsgLNyElxo3QAwCgIVsA4qPV16entNXpq+0AX3gk5qQkqzk/Xpy4qUnF+morz0zUrN5UZzgHAowhWQIh09PTrxT11enJbtd4+0CRrpZXTs3TfmvkDM57npykvLcntMgEAQUSwAoLIH7B650CzntxWpRd216mrz69pE5N171UDXXjTs+nCA4BIRrACztDh5g7tqvadssxaaU9Nq57eXq261m6lJcXplmUFum15gVZOz2IaBACIEgQrYAx8XX16rqRWT26r0tbDx4bdJjbG6PK5ufr62mJdXTxJSfHMfg4A0YZgBQyjs7dfZXVtKqtt09sVTdpQWq/e/oBm56XqvjXzdfncXMXHnnoUKjs1URNTuDYfAEQzghWimrVWNb5ulda8P/VBaW2bDjV3yNqBbbJTEvQXq6bpI8sLtbAgnW49AMBpEawQ0XydfVq3q0avlTWqzx84ZV1Xr1/76tvk6+o7uWzaxGQV56fplqUFJ6c/KMyaQJgCAIwJwQoRp88f0Bv7GvXk9iq9vLdBvf6ApmcnKzP51G66hFijGxbla4EToOZNTlNaErOYAwDOHsEKEcFaq93VrXpiW5X+uLNGzR29yk5J0J2rB7rwzptCFx4AIPQIVgiKnn6/fJ19o28YZB29fq3fXacnt1WpvKFdCXExuro4Tx9ZXqjL5uYygzkAYFwRrHDGmtp73r/OXW2b9ta06kBju/oD1rWaVk7P0nduXaQbF+VzUWIAgGsIVjipu8+vzQdb5B8SkHxdfSfPliutbVVjW8/JdZPTk1Scn6arivM0JXOCxru3LdYYXTgrmxnNAQBhgWAFSdLxzl59+j+3aNuR48OuT4iN0ey8VF02J/fk2XLF+enM2wQAwCAEK6jO161P/nqTDjV16oHbF2vupLRT1icnxGpGTgrjlQAAGAXBKspVNrbrEw9t1vHOXv3nX56vi2bnuF0SAACeRbCKYrurfbrr15slSY/ec6EWFWa4XBEAAN5GsIpQbd19KqtrO3n2XmVjxwcGpZfWtiozOUG/vXuVZuamulQpAACRg2AVJhrauk+edVda26p9dW3q6vOf1Wv19gdU6+s++TgrOV6z81KVGH/qGKkPzc/T128sVn7GhHOqHQAADCBYhVAgYNU5JBxZa1V9vOvkHFAnbpva35/CYEpGkuZNTlPGhLObjykmxmhWburJs/cmpycx6zgAAOOAYBUC1lqtK6nVD17cpyMtnafdLiEuRnMnpeqKebknpy8ozk/7wDXtAACANxCsgmzzwRZ9+/lS7Tx6XPMnp+n+6+crdsjRoty0RBXnp2tmLlMYAAAQSQhWQeDr7NOeWp9+8/Yhbdhbr8npSfrB7Yt12/JCxcbQBQcAQLQgWJ2BQMDqcEvnoOvkDYyPqj7eJUlKTYzTP1w3T5++eIYmJMS6XC0AABhvIQlWxpg1kn4qKVbSr6y13wvF+wRTvz+gjeVN2nKoRUMvJXy8s+8DZ+rFxhjNyk3RyqIsfXzydBXnp2nZ1CwuAAwAQBQLerAyxsRK+ndJ10iqkrTFGPOstXZvsN/rXFlrtbe2VU9uq9YzO2rU1N6j2BjzgTFRyYmxmjcpTX92/lQtmJKuBfnpmp2XqqR4jkoBAID3heKI1SpJFdbaSkkyxjwq6WZJrgWr9w636KevVHxgeZ2vS/vr2xUfa3TV/Em6bXmBPjQvTwlxDCgHAABnLhTBqkDS0UGPqyRdEIL3GbM+v1VrV98HluemJeoTq6dr7eIpykphigMAAHBuQhGshjsNbuiwJRlj7pF0jyRNmzYtBGW8b/XMbD39uYtD+h4AAACh6POqkjR10ONCSTVDN7LWPmitXWmtXZmbmxuCMgAAAMZXKILVFklzjDEzjDEJkj4m6dkQvA8AAEBYCXpXoLW23xjzeUkvamC6hV9ba/cE+30AAADCTUjmsbLWPi/p+VC8NgAAQLhiXgEAAIAgIVgBAAAECcEKAAAgSAhWAAAAQUKwAgAACBKCFQAAQJAQrAAAAIKEYAUAABAkBCsAAIAgIVgBAAAECcEKAAAgSAhWAAAAQUKwAgAACBKCFQAAQJAYa63bNcgY0yjpsNt1eESOpCa3iwgztMnY0E6noj2Ci/b8INrk7IV720231uYOtyIsghXGzhiz1Vq70u06wgltMja006loj+CiPT+INjl7Xm47ugIBAACChGAFAAAQJAQr73nQ7QLCEG0yNrTTqWiP4KI9P4g2OXuebTvGWAEAAAQJR6wAAACChGB1jowxU40xrxljSo0xe4wx9zrLJxpjNhhjyp3bLGf5ncaYEufnT8aYJYNea40xZp8xpsIYc/8I73mX87rlxpi7nGXJxpjnjDFlTh3fG+H5K4wxu5z3+ZkxxjjL73CeGzDGnNXZGB5tj28bY44aY9qHLP+UMabRGLPD+fnM2bTJad4zLNrJWb7eGLPTqeMXxpjY0zx/2PcxxnzeWWaNMTlR1ia/NsY0GGN2D1n+DWNM9aB954azbZezFU7tOWj9s0Pbasj6qNnHzqBNwmIfC6e2M8a87jz/xO+ed5rnh+y7bkTWWn7O4UdSvqTlzv00SfslLZD0gKT7neX3S/q+c/8iSVnO/eslbXLux0o6IGmmpARJOyUtGOb9JkqqdG6znPtZkpIlXeFskyBpo6TrT1PzZkkXSjKSXjixnaRiSfMkvS5pZRS1x2qn7vYhyz8l6d8ieb9x1qU7t0bSE5I+NszzT/s+kpZJKpJ0SFJOtLSJs/4yScsl7R6y/BuSvhyKfceL7emsv03S74a2VbTuY2Npk3Dax8Kp7TTG7yiF8LtupB+OWJ0ja22ttXabc79NUqmkAkk3S3rY2exhSbc42/zJWnvMWf6upELn/ipJFdbaSmttr6RHndcY6jpJG6y1Lc7rbJC0xlrbaa19zXmPXknbBr32ScaYfA18abxjB/awRwbVVmqt3XcOzeG59nDWv2utrT2X3/tMhUs7Oa/d6mwTp4EPuuEGXp72fay12621h868FU7lwTaRtfZNSS1n9xuHVji1pzEmVdKXJH1rhJKjah8bY5uEzT4WTm03FqH+rhsJwSqIjDFFGvjLapOkSSe+rJ3b4Q5V3q2BFC0N7KBHB62rcpYNNep2xphMSTdJeuU0z68aw/ucM4+0x2g+4hzKftwYM/Usnj+qcGgnY8yLkhoktUl6/EyfH2weaZPRfN7Zd359onvELWHQnv8i6V8ldY5QZrTtY2Npk9G4so+FQdtJ0m+cbsB/PNHFN8zzx+W7biiCVZA4f308IelvB/21O9L2V2hgZ7vvxKJhNhvur+QRtzPGxEn6vaSfWWsrz/T5weKh9hjJHyUVWWsXS3pZ7/9VFjTh0k7W2us0cKg/UdKVZ/r8YPJQm4zk55JmSVoqqVYDX6CucLs9jTFLJc221j412luP8X3OmYfaZCSu7GNut51ze6e1dpGkS52fT5zh80OKYBUExph4Dexo/22tfdJZXO8cijxxSLJh0PaLJf1K0s3W2mZncZWkwUdECiXVGGMuGDRA78On227Q4wcllVtrf+K8V+yg53/TeX7hCM8/Zx5rj9Oy1jZba3uch7+UtGKsbTAWYdZOstZ2S3pW0s3OQNUTz//sWJ4fDB5rk9Oy1tZba/3W2oAG9p1VZ9IOwRIm7XmhpBXGmEOS3pI01xl8HM372Fjb5LTc2MfCpO1kra12bts0MEZtlRvfdadlx2ngW6T+aCAVPyLpJ0OW/0CnDuh7wLk/TVKFpIuGbB+ngcF5M/T+gL7zhnm/iZIOamAwX5Zzf6Kz7lsa2OljRql5iwYGbJ8Y0HfDkPWv6+wHr3uuPQa91tDB6/mD7t8q6d1I228kpZ74PZ3XekzS54d5/qjvo3MfWOypNhn0OkX64MDiwfvO30l6NFj7jtfac7S2isZ9bKxtEk77WLi0nfP8HGebeA1003/2NDWH7LtuxLYK5T9ENPxIukQDhxdLJO1wfm6QlK2BMT3lzu2JL/tfSTo2aNutg17rBg2caXFA0tdGeM9POztshaS/dJYVOnWUDnrtz5zm+Ssl7Xbe59+kkxPF3qqBlN8jqV7Si1HSHg84v3fAuf2Gs/y7kvY4//FfkzQ/AvebSRr48Clxftf/KynuNM8f9n0kfdFpt34N/EX4qyhqk99roBumz2mDu53lv5W0y3mNZzXoS3C8fsKlPYesL9LIZ8BFxT52hm0SFvtYuLSdpBRJ7+n9/58/lRR7mueH7LtupB9mXgcAAAgSxlgBAAAECcEKAAAgSAhWAAAAQUKwAgAACBKCFQAAQJAQrAAAAIKEYAUAABAkBCsAAIAg+f9QlpWVreO2kQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-03-17 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(Taiwan['ObservationDate'], Taiwan['Confirmed'])\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(Taiwan)\n",
    "print('outbreak at:', outbreak_date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### France"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 353,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "outbreak at: 2020-02-27 00:00:00\n"
     ]
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "plt.plot(France['ObservationDate'], France['Confirmed'])\n",
    "plt.show()\n",
    "\n",
    "outbreak_date = calculate_start_outbreak_date(France)\n",
    "print('outbreak at:', outbreak_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7923694963231469 %\n",
      "rate: 2756.8917245545144\n",
      "Accuracy: 0.8793493727766759 %\n",
      "rate: 1699.0108695652175\n"
     ]
    }
   ],
   "source": [
    "calculate_rate(France, outbreak_date, '2020/04/10')\n",
    "calculate_rate(France, '2020/04/11', '2020/05/04')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Current Result\n"
   ]
  }
 ],
 "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": "3.7.4"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "source": [],
    "metadata": {
     "collapsed": false
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}