Data visualization/Data_Visualization_HW2(Covid-19).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "UWkBj0neP98a"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ZgX-cfkbPeBL"
   },
   "source": [
    "# Q1.&#30059;&#20986; $\\frac{1}{1+e^{-x}} $ &#20989;&#25976;, x&#31684;&#22285;(-5~5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 400
    },
    "colab_type": "code",
    "id": "KEzduvjeP6hR",
    "outputId": "7813eabc-b171-4d2a-866f-a8cfc1ee4269"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x26541ff3c88>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=np.linspace(-5,5,100)\n",
    "y=1/(1+np.exp(-x))\n",
    "sns.lineplot(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "3pGnmX5hS8N5"
   },
   "source": [
    "# Q2.&#21033;&#29992;pandas&#30340;to_datetime&#21644;Timedelta&#65292;&#25214;&#20986;1900&#24180;&#30340;2&#26376;28&#26159;&#26143;&#26399;&#24190;&#65292;&#36996;&#26377;&#38548;&#22825;&#30340;&#26085;&#26399;\n",
    "&#22914;&#26524;&#26377;&#33288;&#36259;&#21487;&#20197;&#21435;Excely&#20877;&#35430;&#19968;&#27425;&#30475;&#30475; &#26371;&#26377;[&#24847;&#22806;&#30340;&#30332;&#29694;](https://docs.microsoft.com/zh-tw/office/troubleshoot/excel/wrongly-assumes-1900-is-leap-year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tKXS8irvSbmz"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Wednesday'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ans=pd.to_datetime('2/28/1900')\n",
    "ans.day_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7fEhayGfSmBt"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('1900-03-01 00:00:00')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "further_day = ans+pd.Timedelta('1d')\n",
    "further_day"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "78etG3HC5apd"
   },
   "source": [
    "# Covid-19&#36039;&#26009;&#38598;\n",
    "&#36039;&#26009;&#20358;&#28304; : Johns Hopkins Coronavirus Resource Center"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_o1nSuvLUS45"
   },
   "source": [
    "&#36039;&#26009;&#19979;&#36617;&#22320;&#40670; : https://github.com/CSSEGISandData/COVID-19\n",
    "\n",
    "&#19979;&#36617;&#27493;&#39519; : \n",
    " - &#36914;&#20837;archived_data&#36039;&#26009;&#22846;\n",
    " - &#36914;&#20837;archived_time_series&#36039;&#26009;&#22846;\n",
    " - &#19979;&#36617;&#20006;&#21295;&#20837;&#20197;&#19979;&#19977;&#20491;&#36039;&#26009;&#38598;\n",
    "\n",
    "  1. time_series_19-covid-Confirmed_archived_0325.csv\n",
    "  2. time_series_19-covid-Deaths_archived_0325.csv\n",
    "  3. time_series_19-covid-Recovered_archived_0325.csv\n",
    "\n",
    "- &#21487;&#20197;&#36984;&#25799;&#23559;&#27284;&#26696;&#19979;&#36617;&#19979;&#20358;&#21295;&#20837;&#65307;&#25110;&#26159;&#21040;&#27284;&#26696;&#38913;&#38754;&#65292;&#25353;&#19979;raw&#21462;&#24471;&#32218;&#19978;&#32178;&#22336;&#65292;&#30452;&#25509;&#29992;read_csv&#35712;&#21462;\n",
    "\n",
    "  (&#27284;&#26696;&#21487;&#33021;&#26371;&#22312;&#20316;&#26989;&#36942;&#31243;&#20013;&#26356;&#26032;&#65292;&#25235;&#26368;&#26032;&#30340;&#36039;&#26009;&#21363;&#21487;)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "8zmZPnOP5hy-"
   },
   "source": [
    "# Q3. &#35712;&#21462;Confirmed&#36039;&#26009;&#38598;&#65292;&#20006;&#39023;&#31034;&#20986;&#20358;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 456
    },
    "colab_type": "code",
    "id": "XGnhpIt56Kba",
    "outputId": "dd1bddc8-c962-406c-8aca-cb7bb21cc717"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/14/20</th>\n",
       "      <th>3/15/20</th>\n",
       "      <th>3/16/20</th>\n",
       "      <th>3/17/20</th>\n",
       "      <th>3/18/20</th>\n",
       "      <th>3/19/20</th>\n",
       "      <th>3/20/20</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>101.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>82</td>\n",
       "      <td>114</td>\n",
       "      <td>147</td>\n",
       "      <td>177</td>\n",
       "      <td>212</td>\n",
       "      <td>272</td>\n",
       "      <td>322</td>\n",
       "      <td>411</td>\n",
       "      <td>599</td>\n",
       "      <td>599.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Japan</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>138.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>773</td>\n",
       "      <td>839</td>\n",
       "      <td>825</td>\n",
       "      <td>878</td>\n",
       "      <td>889</td>\n",
       "      <td>924</td>\n",
       "      <td>963</td>\n",
       "      <td>1007</td>\n",
       "      <td>1086</td>\n",
       "      <td>1086.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>1.2833</td>\n",
       "      <td>103.8333</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>212</td>\n",
       "      <td>226</td>\n",
       "      <td>243</td>\n",
       "      <td>266</td>\n",
       "      <td>313</td>\n",
       "      <td>345</td>\n",
       "      <td>385</td>\n",
       "      <td>432</td>\n",
       "      <td>455</td>\n",
       "      <td>455.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>28.1667</td>\n",
       "      <td>84.2500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>112.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>238</td>\n",
       "      <td>428</td>\n",
       "      <td>566</td>\n",
       "      <td>673</td>\n",
       "      <td>790</td>\n",
       "      <td>900</td>\n",
       "      <td>1030</td>\n",
       "      <td>1183</td>\n",
       "      <td>1306</td>\n",
       "      <td>1306.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows &times; 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region      Lat      Long  1/22/20  1/23/20  1/24/20  \\\n",
       "0            NaN       Thailand  15.0000  101.0000        2        3        5   \n",
       "1            NaN          Japan  36.0000  138.0000        2        1        2   \n",
       "2            NaN      Singapore   1.2833  103.8333        0        1        3   \n",
       "3            NaN          Nepal  28.1667   84.2500        0        0        0   \n",
       "4            NaN       Malaysia   2.5000  112.5000        0        0        0   \n",
       "\n",
       "   1/25/20  1/26/20  1/27/20  ...  3/14/20  3/15/20  3/16/20  3/17/20  \\\n",
       "0        7        8        8  ...       82      114      147      177   \n",
       "1        2        4        4  ...      773      839      825      878   \n",
       "2        3        4        5  ...      212      226      243      266   \n",
       "3        1        1        1  ...        1        1        1        1   \n",
       "4        3        4        4  ...      238      428      566      673   \n",
       "\n",
       "   3/18/20  3/19/20  3/20/20  3/21/20  3/22/20  3/23/20  \n",
       "0      212      272      322      411      599    599.0  \n",
       "1      889      924      963     1007     1086   1086.0  \n",
       "2      313      345      385      432      455    455.0  \n",
       "3        1        1        1        1        2      2.0  \n",
       "4      790      900     1030     1183     1306   1306.0  \n",
       "\n",
       "[5 rows x 66 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed=pd.read_csv(\"time_series_19-covid-Confirmed_archived_0325.csv\",sep=\",\")\n",
    "confirmed.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "VRlFt_On8lU4"
   },
   "source": [
    "# Q4. &#23559;Confirmed&#36039;&#26009;&#38598;&#21435;&#38500;&#32147;&#32239;&#24230;&#20006;&#36681;&#25563;&#32080;&#27083;&#22914;&#19979;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "GC6-qLF0qrfr"
   },
   "source": [
    "hint: df.melt()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "UFRw4Q4OXGA4"
   },
   "outputs": [],
   "source": [
    "confirmed.drop([\"Lat\",\"Long\"],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Nepal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Jersey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Puerto Rico</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Republic of the Congo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Bahamas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Gambia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31062 rows &times; 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country/Region Province/State  Total_Confirmed\n",
       "Date                                                             \n",
       "2020-01-22               Thailand            NaN              2.0\n",
       "2020-01-22                  Japan            NaN              2.0\n",
       "2020-01-22              Singapore            NaN              0.0\n",
       "2020-01-22                  Nepal            NaN              0.0\n",
       "2020-01-22               Malaysia            NaN              0.0\n",
       "...                           ...            ...              ...\n",
       "2020-03-23                 Jersey            NaN              0.0\n",
       "2020-03-23            Puerto Rico            NaN              0.0\n",
       "2020-03-23  Republic of the Congo            NaN              0.0\n",
       "2020-03-23            The Bahamas            NaN              0.0\n",
       "2020-03-23             The Gambia            NaN              0.0\n",
       "\n",
       "[31062 rows x 3 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp=pd.melt(confirmed,id_vars=[\"Country/Region\",\"Province/State\"],value_vars=confirmed.columns[2:])\n",
    "temp[\"Date\"]=temp[\"variable\"].apply(lambda x:pd.to_datetime(x, format = '%m/%d/%y'))\n",
    "temp.drop(\"variable\",axis=1,inplace=True)\n",
    "temp.rename(columns={\"value\": \"Total_Confirmed\"},inplace=True)\n",
    "temp=temp.set_index(\"Date\")\n",
    "temp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mLJPxgz1Y862"
   },
   "source": [
    "# Q5. &#23559;&#22283;&#23478;(Country/Region)&#30340;&#27599;&#26085;&#21508;&#30465;&#20998;&#20154;&#25976;&#36039;&#26009;&#21152;&#32317;&#65292;&#20006;&#28040;&#38500;&#30465;&#32026;&#27396;&#20301;(Province/State)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3MzvD72z9Yoe"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11346 rows &times; 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed\n",
       "Date                                      \n",
       "2020-01-22    Afghanistan              0.0\n",
       "2020-03-14    Afghanistan             11.0\n",
       "2020-02-10    Afghanistan              0.0\n",
       "2020-02-09    Afghanistan              0.0\n",
       "2020-03-15    Afghanistan             16.0\n",
       "...                   ...              ...\n",
       "2020-02-25       Zimbabwe              0.0\n",
       "2020-02-24       Zimbabwe              0.0\n",
       "2020-02-23       Zimbabwe              0.0\n",
       "2020-02-20       Zimbabwe              0.0\n",
       "2020-03-23       Zimbabwe              3.0\n",
       "\n",
       "[11346 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q5=pd.DataFrame(temp.groupby([\"Date\",\"Country/Region\"])[\"Total_Confirmed\"].sum())\n",
    "Q5=Q5.reset_index().set_index(\"Date\")\n",
    "Q5=Q5.sort_values(\"Country/Region\")\n",
    "Q5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "HUK64SCxZ-bR"
   },
   "source": [
    "# Q6. &#35531;&#21015;&#20986;&#20986;&#22312;2020/02/21&#26085;&#65292;&#32047;&#31309;&#30906;&#35386;&#20154;&#25976;&#26368;&#39640;&#30340;&#21313;&#20491;&#22283;&#23478;&#21644;&#30906;&#35386;&#20154;&#25976;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_Confirmed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>81305.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>53578.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>25489.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>25374.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>22213.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iran</th>\n",
       "      <td>20610.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>14431.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea, South</th>\n",
       "      <td>8799.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>6575.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>5067.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Total_Confirmed\n",
       "Country/Region                 \n",
       "China                   81305.0\n",
       "Italy                   53578.0\n",
       "US                      25489.0\n",
       "Spain                   25374.0\n",
       "Germany                 22213.0\n",
       "Iran                    20610.0\n",
       "France                  14431.0\n",
       "Korea, South             8799.0\n",
       "Switzerland              6575.0\n",
       "United Kingdom           5067.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "someday=pd.Timestamp('2020-03-21')\n",
    "Q6=temp[temp.index==pd.Timestamp('2020-03-21')]\n",
    "Q6=pd.DataFrame(Q6.groupby(\"Country/Region\")[\"Total_Confirmed\"].sum())\n",
    "Q6=Q6.sort_values(\"Total_Confirmed\",ascending=False)[:10]\n",
    "Q6.rename(columns={\"Total_Confirmed\":\"2020/03/21&#30906;&#35386;&#20154;&#25976;\"})\n",
    "Q6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5YDkvP-tfLTl"
   },
   "source": [
    "# Q7. &#23559;&#21069;10&#20491;&#22283;&#23478;&#21934;&#29544;&#25289;&#20986;&#65292;&#20006;&#19988;&#24418;&#25104;&#26032;&#30340;dataframe\n",
    "( hint: df.isin( list ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Total_Confirmed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <th>China</th>\n",
       "      <td>548.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-29</th>\n",
       "      <th>China</th>\n",
       "      <td>6087.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-21</th>\n",
       "      <th>China</th>\n",
       "      <td>81305.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <th>China</th>\n",
       "      <td>74619.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <th>China</th>\n",
       "      <td>75077.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-22</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-19</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-17</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>1960.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>5741.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>620 rows &times; 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Total_Confirmed\n",
       "Date       Country/Region                 \n",
       "2020-01-22 China                     548.0\n",
       "2020-01-29 China                    6087.0\n",
       "2020-03-21 China                   81305.0\n",
       "2020-02-19 China                   74619.0\n",
       "2020-02-20 China                   75077.0\n",
       "...                                    ...\n",
       "2020-02-22 United Kingdom              9.0\n",
       "2020-02-20 United Kingdom              9.0\n",
       "2020-02-19 United Kingdom              9.0\n",
       "2020-03-17 United Kingdom           1960.0\n",
       "2020-03-23 United Kingdom           5741.0\n",
       "\n",
       "[620 rows x 1 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q7=temp[temp[\"Country/Region\"].isin(Q6.index)]\n",
    "Q7=Q7.reset_index()\n",
    "Q7=Q7.groupby([\"Date\",\"Country/Region\"])[\"Total_Confirmed\"].sum()\n",
    "Q7=pd.DataFrame(Q7)\n",
    "Q7=Q7.sort_values(\"Country/Region\")\n",
    "Q7"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_ckzkilnfw-7"
   },
   "source": [
    "# Q8. &#30059;&#20986;&#21069;&#21313;&#20491;&#22283;&#23478;&#30340;&#30906;&#35386;&#20154;&#25976;&#25240;&#32218;&#22294;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\POPO\\Anaconda3\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\converter.py:103: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x265423a3390>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16,8))\n",
    "sns.set_style('darkgrid')\n",
    "Q7=Q7.reset_index()\n",
    "sns.lineplot(x=Q7.Date, y = 'Total_Confirmed',hue=\"Country/Region\", data=Q7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "oXs8loHcCp3a"
   },
   "source": [
    "# Q9. &#24341;&#20837;Recovered&#20154;&#25976;&#36039;&#26009;&#38598;&#65292;&#20006;&#37325;&#35079;&#19978;&#38754;Q3~Q5&#30340;&#25972;&#29702;&#36942;&#31243;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/14/20</th>\n",
       "      <th>3/15/20</th>\n",
       "      <th>3/16/20</th>\n",
       "      <th>3/17/20</th>\n",
       "      <th>3/18/20</th>\n",
       "      <th>3/19/20</th>\n",
       "      <th>3/20/20</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>101.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>41</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>44</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Japan</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>138.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>118</td>\n",
       "      <td>118</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>150</td>\n",
       "      <td>191</td>\n",
       "      <td>232</td>\n",
       "      <td>235</td>\n",
       "      <td>235.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>1.2833</td>\n",
       "      <td>103.8333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>105</td>\n",
       "      <td>105</td>\n",
       "      <td>109</td>\n",
       "      <td>114</td>\n",
       "      <td>114</td>\n",
       "      <td>114</td>\n",
       "      <td>124</td>\n",
       "      <td>140</td>\n",
       "      <td>144</td>\n",
       "      <td>144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>28.1667</td>\n",
       "      <td>84.2500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>112.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>35</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>49</td>\n",
       "      <td>60</td>\n",
       "      <td>75</td>\n",
       "      <td>87</td>\n",
       "      <td>114</td>\n",
       "      <td>139</td>\n",
       "      <td>139.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows &times; 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region      Lat      Long  1/22/20  1/23/20  1/24/20  \\\n",
       "0            NaN       Thailand  15.0000  101.0000        0        0        0   \n",
       "1            NaN          Japan  36.0000  138.0000        0        0        0   \n",
       "2            NaN      Singapore   1.2833  103.8333        0        0        0   \n",
       "3            NaN          Nepal  28.1667   84.2500        0        0        0   \n",
       "4            NaN       Malaysia   2.5000  112.5000        0        0        0   \n",
       "\n",
       "   1/25/20  1/26/20  1/27/20  ...  3/14/20  3/15/20  3/16/20  3/17/20  \\\n",
       "0        0        2        2  ...       35       35       35       41   \n",
       "1        0        1        1  ...      118      118      144      144   \n",
       "2        0        0        0  ...      105      105      109      114   \n",
       "3        0        0        0  ...        1        1        1        1   \n",
       "4        0        0        0  ...       35       42       42       49   \n",
       "\n",
       "   3/18/20  3/19/20  3/20/20  3/21/20  3/22/20  3/23/20  \n",
       "0       42       42       42       42       44     44.0  \n",
       "1      144      150      191      232      235    235.0  \n",
       "2      114      114      124      140      144    144.0  \n",
       "3        1        1        1        1        1      1.0  \n",
       "4       60       75       87      114      139    139.0  \n",
       "\n",
       "[5 rows x 66 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recovered=pd.read_csv(\"time_series_19-covid-Recovered_archived_0325.csv\",sep=\",\")\n",
    "recovered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Nepal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Jersey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Puerto Rico</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Republic of the Congo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Bahamas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Gambia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31062 rows &times; 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country/Region Province/State  Total_Recoverd\n",
       "Date                                                            \n",
       "2020-01-22               Thailand            NaN             0.0\n",
       "2020-01-22                  Japan            NaN             0.0\n",
       "2020-01-22              Singapore            NaN             0.0\n",
       "2020-01-22                  Nepal            NaN             0.0\n",
       "2020-01-22               Malaysia            NaN             0.0\n",
       "...                           ...            ...             ...\n",
       "2020-03-23                 Jersey            NaN             0.0\n",
       "2020-03-23            Puerto Rico            NaN             0.0\n",
       "2020-03-23  Republic of the Congo            NaN             0.0\n",
       "2020-03-23            The Bahamas            NaN             0.0\n",
       "2020-03-23             The Gambia            NaN             0.0\n",
       "\n",
       "[31062 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recovered.drop([\"Lat\",\"Long\"],axis=1,inplace=True)\n",
    "temp=pd.melt(recovered,id_vars=[\"Country/Region\",\"Province/State\"],value_vars=recovered.columns[2:])\n",
    "temp[\"Date\"]=temp[\"variable\"].apply(lambda x:pd.to_datetime(x, format = '%m/%d/%y'))\n",
    "temp.drop(\"variable\",axis=1,inplace=True)\n",
    "temp.rename(columns={\"value\": \"Total_Recoverd\"},inplace=True)\n",
    "temp=temp.set_index(\"Date\")\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11346 rows &times; 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Recoverd\n",
       "Date                                     \n",
       "2020-01-22    Afghanistan             0.0\n",
       "2020-03-14    Afghanistan             0.0\n",
       "2020-02-10    Afghanistan             0.0\n",
       "2020-02-09    Afghanistan             0.0\n",
       "2020-03-15    Afghanistan             0.0\n",
       "...                   ...             ...\n",
       "2020-02-25       Zimbabwe             0.0\n",
       "2020-02-24       Zimbabwe             0.0\n",
       "2020-02-23       Zimbabwe             0.0\n",
       "2020-02-20       Zimbabwe             0.0\n",
       "2020-03-23       Zimbabwe             0.0\n",
       "\n",
       "[11346 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q9=pd.DataFrame(temp.groupby([\"Date\",\"Country/Region\"])[\"Total_Recoverd\"].sum())\n",
    "Q9=Q9.reset_index().set_index(\"Date\")\n",
    "Q9=Q9.sort_values(\"Country/Region\")\n",
    "Q9"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "18r7GRUIizn4"
   },
   "source": [
    "# Q10. &#25214;&#20986;&#22312;2020/03/22&#26085;&#26178;&#65292;&#24247;&#24489;&#20154;&#25976;&#26368;&#39640;&#30340;&#21069;20&#20491;&#22283;&#23478;&#65292;&#29992;&#22402;&#30452;&#38263;&#26781;&#22294;&#30059;&#20986;&#20358;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>China</td>\n",
       "      <td>72362.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Iran</td>\n",
       "      <td>7931.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Italy</td>\n",
       "      <td>7024.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Korea, South</td>\n",
       "      <td>2909.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Spain</td>\n",
       "      <td>2575.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>France</td>\n",
       "      <td>2206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Cruise Ship</td>\n",
       "      <td>325.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Germany</td>\n",
       "      <td>266.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Japan</td>\n",
       "      <td>235.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>139.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Australia</td>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Romania</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Iraq</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Egypt</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country/Region  Total_Recoverd\n",
       "Date                                      \n",
       "2020-03-22           China         72362.0\n",
       "2020-03-22            Iran          7931.0\n",
       "2020-03-22           Italy          7024.0\n",
       "2020-03-22    Korea, South          2909.0\n",
       "2020-03-22           Spain          2575.0\n",
       "2020-03-22          France          2206.0\n",
       "2020-03-22     Cruise Ship           325.0\n",
       "2020-03-22         Germany           266.0\n",
       "2020-03-22         Belgium           263.0\n",
       "2020-03-22           Japan           235.0\n",
       "2020-03-22         Bahrain           149.0\n",
       "2020-03-22       Singapore           144.0\n",
       "2020-03-22        Malaysia           139.0\n",
       "2020-03-22     Switzerland           131.0\n",
       "2020-03-22       Australia            88.0\n",
       "2020-03-22  United Kingdom            67.0\n",
       "2020-03-22         Algeria            65.0\n",
       "2020-03-22         Romania            64.0\n",
       "2020-03-22            Iraq            57.0\n",
       "2020-03-22           Egypt            56.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "someday=pd.Timestamp('2020-03-22')\n",
    "Q10=Q9[Q9.index==someday]\n",
    "Q10=Q10.sort_values(\"Total_Recoverd\",ascending=False)[:20]\n",
    "Q10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x26542772898>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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eJT0xalsHxxJYat6tV9pmZOp5mPTYqG0dHUugecfyl5mpJ8nI/Dk5lMDC8t3JX1aGngcPjcsbQEkHG8wt3536l52RTeJD4+reu5Y3KGz+imNu+e70CwDZGVkkPjS+7zNTFEV5jfGY1KxZs6hbty4eHh4ANG/enCNHjhRxVEIIIYQQQgghhBAC3rFfnWvQoIE6sXT27Flq1KhRxBEJIYQQQgghhBBCCIN3akWT4VfnLl26hKIoBAQE4ObmVtRhCSGEEEIIIYQQQgjesYkmIYQQQgghhBBCCPH2eqcenRNCCCGEEEIIIYQQby+ZaBJCCCGEEEIIIYQQJiETTUIIIYQQQgghhBDCJGSi6QUuX76Ml5cXWq2Wbt26sWjRIk6cOMHo0aOf23bmzJnEx8cXQZSmERcXh6enZ1GH8doY8hcdHc2pU6fy3S4qKirP8jWVZ9P/4Ycf6NChwxs9dw4fPky/fv346quv+PLLL9mxY8dLpRMeHg7Atm3bmDt3rilDJDQ0lP79+zNgwAC+/vprfvnll0Lvf/78eZPG9Cri4uJo0KABWq1W/W/JkiVFHdYL5dUGGvtqv4sXL75SHtPS0vD29lbPgZEjR/LgwQMAmjVr9tz227Zt48CBAy/9fU+7efMmI0aMwNPTky+//BIvLy8uX75skrTfFlFRUTRt2hStVkvfvn3p1asXsbGx+W5bULt45MgRNm/e/LpCNTmtVptvXt8lhSnDV+nj30R7mleb/66Pq/ISFRVFzZo12bNnT67PO3bsiLe3d577mKqPNWU9LWwf/XT7bBg7vKzFixezcePGV0pj9OjRREVFvfT+oaGhfPjhh6Snpxd63x9//JE7d+4Yte3T9Xb06NFkZGTkuV1ebfTcuXPZtm1bvmkb6nV6ejqRkZFGRp/3sXu2TGbNmsXQoUPJyMhg2LBhRqedl9jYWLRa7SulUZBny9IU/cOr5rmwnu4LtFotXbt2ZcSIEfmeL6b2pvP7Iv9L17TPlq1Wq2XEiBGvnG58fDwHDx40QYT5s3itqb/jkpOTGTNmDIsXL6Zq1apkZ2czcuRISpUqlef2kydPfsMRipexb98+XFxcaNSoUVGHwu7du1m5ciVr1qzBxcXljX2vr68v33//Pfb29qSkpNCpUyeaNWuGs7NzodIJDg6mb9++Jo8vJiaGgwcPsnHjRszMzLh48SITJ04s1ISYl5eXyeN6Ve7u7uh0uqIOw2j5tYGbNm2id+/eL9z/vffe47333nvp79+6dSsuLi4EBgYCsGbNGpYuXYqPj0+e23ft2vWlv+tpqampDBkyBD8/P+rXrw/A+fPnmTFjxjtVfsZo0qQJCxYsAODYsWPMmTOH5cuXFzqd5s2bmzo0YSRTlWFBXnd7aoo2/13i6urKrl278PDwACA6OprU1NTX/r2mqqcvU15Pt8+va+zwJu3cuRMPDw92795d6L5n3bp1+Pr6UqZMmULtZ6jnpmKo13FxcURGRtKjR49XTlNRFPz9/Xn48CGLFi3CwsLirb+p9iplmZ+iyPPTfQHA2LFjOXjwIO3atXvt3/22l/G77tmyNYUTJ05w5coVPvnkE5Om+zSZaCrAgQMHaNy4MVWrVgXA3Nyc2bNnc+bMGSIjIxk4cCCJiYm0bNmS4cOHo9Vq8fX1Zc+ePcTFxXH//n3i4+P59ttv+eijj/jhhx9Yv369mv7ChQspWbJkEeUuf1qtFicnJ5KTk1m8eDE+Pj48evSIBw8e0KNHD/r06YNWq6VWrVpcvnyZlJQUFi5cSIUKFYo69BdKSkpi+/btaDQaateuTXx8/HNlYnDs2DEiIiJYtGgRAL169WLRokWULl3aJLH885//JDw8nNWrV+Pg4ADAb7/9hp+fH+bm5lhZWeHn54der2fIkCE4OjrSvHlzmjdvjr+/PwCOjo4EBARgY2PD1KlTuX37Ng8ePKB58+aMGjUq3+92dnZm3bp1fPrpp7i7u7N3714sLS1JTk5m/PjxpKSkqJMKTZs25ZNPPmHv3r1YWVkxd+5cXF1duXPnDg8fPsTX15c6depw7tw5BgwYQGJiIr1796Znz54vfWxKlixJfHw8W7ZsoXnz5rz33nts2bIFrVZLtWrVuHr1KoqisGDBAkqWLJln3r29vfHw8ODevXscPnyYtLQ0bty4waBBg0w2kHhVUVFRzJ07F41Gg6enJ9bW1s+dj5cvXyYsLAyNRkNcXBweHh4MGTKEa9eu4ePjQ2ZmJtbW1ixYsID09HSmTJlCenq6ev6UK1fupePLrw3UaDTPxb5o0aLnzpEKFSqwadMmFixYgLe3Nzdu3CA9PZ2vv/4aDw8PTp48yYIFCzA3N6dSpUrMmDEDjUajfn+FChXYsmULDRo04G9/+xtarVZdTZWRkcHYsWOJj4/H0dGRRYsWERISgouLC66uroSEhFCsWDHu3r1Lz549+eKLL4zO96FDh2jSpIk6yQRQp04d1q1bx61bt547xtnZ2bnq6JEjR6hZsyaXL1/GxsaGhg0bcuzYMZKTk1m1ahXm5uZMnjzZqHb12LFjXLt2jYkTJ5KdnU3nzp3ZunUrlpaWL12u+UlOTqZChQpER0c/18Y8LTIykvXr1+Pg4IBGo1Evlq9cuUKvXr0YM2YMERERAHh6ejJ//ny2b9/O9evXefDgAQ8fPqRPnz7s27ePq1evMnv2bOrVq2fy/LzIgwcPGDx4MOnp6SQlJfGPf/yD1q1b4+HhQcOGDbl8+TIODg7Mnz8fvV5vdJkVZV9oKMOTJ0+qA/+0tDS13iYmJjJ06FDu3r1LzZo18ff3x9vbm6SkJJKSkggODmbu3LlvvD0tqM0vaFx16NAhFi1ahK2tLQ4ODtSsWZOhQ4fm2ycoisKtW7d48uQJs2fPxs3NjVWrVrF7924sLCxo2LAh48ePZ/HixZw5c4YnT54wc+ZM/vOf/7Br1y7MzMzw8PDgyy+/fKX81qpVi2vXrpGcnIy9vT07duygY8eO3Lp1i/DwcPbt20dWVhZ2dnYsXrw4177z5s3jl19+4fHjx7i5uTFr1ix69eqFn58f1atX5/Dhw/z73/+mQ4cOzJ49GwsLC+zt7Zk7dy779u3jypUrjBs3Ls90XqW8/Pz8+Oabb1i+fDm7du0iNDSUHTt28NNPP/H9999TunRpXFxcSEpKUscONWrUYO/evQBcv36dZs2aMWPGDKZNm8b169fR6/WMGjWKxo0b06FDB6pWrYqlpSXVqlUDIDs7O9+ytrS05I8//iAhIYHAwEBq167N+vXriYyMpFSpUty/f/+lyy8qKorKlSvTq1cvxo8fT9euXdVz1c3NjY0bN3Lv3j28vLwYOXIkKSkppKWlMX78eFJTU9WJuaCgIEaMGKH2HXXr1s2z3hoYxmLXr18nMDAQvV5PcnJyvjdfno43r3GEoV7v27ePmJgYlixZQr9+/Zg8ebK6etjHx4eaNWsadewURWHatGlkZWUxZ84cihXLeXCmWbNmHD9+PN/2cunSpezfv5+SJUuSmprKyJEjqVatGuPGjUNRlFw3+I8fP853332HlZWV2j9dvHiR0NBQNBoNt2/fplevXpw4cYLff/+dL7/8kj59+hSqLA0SExMZN24cGRkZVKtWjRMnTvDjjz/mOXbZuXMnW7duRa/XM2LECMaNG8fx48fzbIsN5+/rlJGRQUJCAg4ODgQGBnL69GkAOnToQL9+/fD29sbCwoL4+HgyMjLw8PDg0KFD3Lp1i2XLllGhQoVC1S1DGRdVfvNjzDXtqVOnCAgIwMHBARcXF6pUqcLw4cOLLGZjnT9/nunTp1OiRAmcnZ2xsrKifv36z40ZFy5cyPjx4ylVqhR37tyhefPmjBgxgtDQUNLS0qhfvz6tWrV6LTHKo3MFSEhIoFKlSrk+K1GiBBqNhvT0dJYtW8b69evzXAJsaWnJihUrmDx5MmvWrAHg2rVrhIaGotPpqFatGseOHXsT2XgpHTt2ZM2aNdy4cYPPPvuMVatWERISouYFci681qxZQ7Nmzdi9e3fRBVsIjo6OdOnShf79+1OnTp0Cy6RZs2ZcunSJhw8fEhMTg5OTk8kmmX766SciIiJ4+PAh2dnZ6uc+Pj5MnTqV8PBwevfura7kuHv3LitXrmTQoEFMmTKFadOmodPpaN68OStWrODWrVvUq1ePlStXsnHjxhcuKQ8ODiY1NZUxY8bw4Ycfsnz5chRFITg4mL///e+sX7+ehQsXMnnyZPR6fZ5pDBkyBAcHB3x9fQGwsLBg5cqVLFmyhLVr177S8SlZsiTBwcH8/PPP9OzZk3bt2nHo0CEAGjRogE6no3379ixfvtyovKekpLB8+XKCg4MJDQ19pdheRUxMTK6lr3fu3CE9PZ0NGzbQuXPnfM/H+Ph4Fi9ezObNm1mxYgUAs2fPxsvLi82bN9OzZ09+++03Zs+ejVarRafT8fXXX7/yoxb5tYGGSY6nYy9ISkoKUVFRLFmyhLCwMLKzs1EUhSlTprBkyRLCw8MpU6YM27dvz7VfixYtGDJkCFu2bKFVq1b0799fXc7+5MkTRo8ezcaNG0lJSeHixYu59r1z5w7BwcFERESwZs2aQl1UxMXFUblyZfXvIUOGoNVqadeuHd7e3nke46frKOS0j2vXriUjIwNra2tWr16Nu7s7p06d4vr160a3q5999hkHDhwgOzubo0eP0rhxY5NOMp04cQKtVkvPnj2ZNGkSn376aZ5tjEFiYiIrVqxg48aNrFq1qlCrMKytrVm5ciVt27bl8OHDhISE4OXlVWT9x++//85XX33F6tWrmTJlijrJm5aWRseOHdm4cSOurq5s3ry5UGX2puVVhpcvXyYoKIh169bxySef8MMPPwA5dXHWrFls3ryZ//73v2q9aNKkCZs2beLx48dF0p4W1OYbPDuuys7Oxt/fn7CwMHQ6HVZWVgAF9gmVKlVi3bp1DB8+nKCgIKKjo9m7dy+bNm1i06ZNXL9+Xf1eV1dXNm3ahKIo7Nmzhw0bNrBhwwb279/PlStXXjnPbdq04ccff0RRFM6fP0/9+vXR6/UkJSWxZs0aNmzYQFZWFhcuXFD3SUlJwd7entWrV7Np0ybOnj3LnTt36NGjh9p+bt26le7du7N//37atGlDeHg43bt3Jzk5+YXpGCuv8rp9+zbx8fGkp6dz9OhRzMzMuHfvHgcPHqRNmzbqvk+PHfr06YNOp2PChAmUL18eb29vIiMjcXJyYv369SxbtowZM2YAOW3+0KFDmT9/vppWQWVdvnx5Vq5ciVarZfPmzTx69Ih169YRERHBsmXLyMzMLHyh/R/D6h9XV1csLS05d+5cntvduHGDe/fuERISwrx580hLS6NFixa899576iTS031HfvX2WTExMUycOJE1a9bw1VdfFfh4nJmZGZD3OMJg8ODBuLu7M2zYMEJCQmjSpAk6nQ4/Pz98fX2NPnbLly/nxo0b3LlzR/3eZz3bXv7+++8cPXqULVu2sHTpUu7evQvA6tWr6dChAzqdjtatWwM8N25o1KgRwcHBANy+fZvFixfj6+tLcHAwc+bMISws7IWPihZUliEhIbRq1Yrw8HDatWv3wrGLvb09GzdupGnTpmoaxpapKRj6Ag8PD7p27UqbNm1IS0sjLi6OiIgINmzYwK5du4iOjgZybuatWrUKV1dX4uLiCAsLo23bthw8eLBQdetpbzK/xnrRNe306dOZN28ea9asoXjx4kUbbD4MZWv4b8WKFUybNo3AwEDWrVunjlnzGzP+8ccfBAYGsmXLFnUS1svLiw4dOry2SSaQFU0FKl++PL/99luuz27evMmpU6eoXr26Oti3sHj+MBoeFylbtqz6fKyzszMTJ06kRIkSXLlypUju4BrLMPvs4uLC2rVr2bdvH7a2tmRlZanb/OUvfwFy8njv3r0iifNVFVQmZmZmfP755+zatYu4uDi6d+9usu8tVaoUq1evJjIykvHjxxMWFkaxYsVISEhQz51GjRoxb948ACpWrKieb7GxsUyfPh2AzMxMqlWrhqOjIxcuXODEiRPY2toW+Ez2w4cPiY+PZ/z48YwfP547d+4wfPhwateuTWxsLB07dgSgTJky2NrakpiYmGv//N7P85e//AUzMzNKlSpFWlraKx2f69evY2trq95hvXDhAl5eXri4uNCkSRMgZ8Lp4MGDRuW9Vq1aAJQrV+6NPa+el2cfnYuKisp1pye/87FGjRpYWFhgYWGBtbU1AFevXlVX3BhWlAQEBLB8+XJWrFiBoii57oS+jPzawNu3bwPke5fq2XPE1taWKVOmMGXKFFJSUvj8889JTEwkISFBXXmXlpb23HuXzpw5Q9OmTWnbti3Z2dl8//33fPvtt2zbtg0HBwcqVqwI5LRTz0541K9fX60z1atX58aNG0Y/Glq2bNlc7xsxDGQ9PT05e/Zsnsf46ToKULt2bSBn4Onu7q7+f3p6eqHaVVtbWxo1asSxY8fYtm0bQ4cONSoPxnp6ObZhRdKTJ0+ea2MMbty4gZubmzoYe3rVV16ePhcMebOzs1OPiYODw0u94+RlPH78GEtLS7XMGjZsSGhoKFu2bMHMzEwtBwsLC/XR6gYNGnDkyBE8PDze2r4wrzIMCAhg5syZ2NjYcOfOHRo0aADkTLQYVtA6Ozur9cZQxkXVnhbU5hs8O65KTEzE1tZW3aZhw4bcu3evwDwY+o/69esTEBDAlStXqFu3bq5zwvAuNsMxuXTpEvHx8fTv3x/I6UNv3LiBq6vrK+W5Y8eO+Pr6UqlSJRo2bAhAsWLF0Gg0jBkzBhsbG27fvp3rXLOysiIxMVH99ydPnpCZmYmHhwddunTh66+/5vbt29SuXZuKFSsSEhJCv379KFOmDHXq1HlhOsbKr7xatGhBVFQUt27domPHjvznP//hp59+YvTo0flOxsTGxjJt2jSCg4NxcHDg0qVLnD59Wn0nWFZWlrq65tk+p6Cyfvp8+fnnn7ly5Qru7u5qO/308SiMhw8fcuTIERITE9HpdKSkpDx3w9nQ7lWvXp0vvviCMWPGkJWVled7rNZdLQAAEVNJREFUhp7uO8qUKZNnvX1W6dKlWbZsGdbW1jx+/BhbW1usra2fq49PnjxRJ2DzGkfk5dKlS5w4cUJdaZacnGz0sWvVqhVTp05lxIgRBAcH59lfPdtexsbG8te//hVzc3PMzc15//33gZwJi06dOgE57fDGjRt58OABtra26iOHjRo1Yv78+bRo0YLq1auj0Wiws7OjcuXKWFpavrB/eVFZxsbG0qVLFwC1juY3dqlcuXKeYyJjy9QUDH3BgwcPGDBgABUrViQ2NpaGDRtiZmaGRqOhbt266g07Q1nY29ur7Zm9vT0ZGRmFqltFlV9jveiaNikpSc1/48aNuXr1apHFmp+8Hp1bvXo11atXB+CDDz5gz549+Y4Za9WqhaOjI5BTf99UHmVFUwFatmzJ0aNHuXHjBpAz4A4MDMTJySnfmXqDZ//90aNHLFq0iAULFuDv74+VlZXRL9QtCob4V61aRb169Zg7dy7t2rV7q2M2lpmZGXq93qgy6datGz/88AOnTp3i448/NlkMVapUwcrKir59+6LRaNQL2dKlS/P7778DcOrUKfWRJcPyY8hpMGfPno1Op2P8+PF8/PHHbNu2DTs7O+bNm8eAAQNIS0vLt6wyMjIYNWoUt27dAnImvVxcXLC0tMTNzY2ffvoJyFkRkpycjKOjI5aWliQkJKAoihof5L6IfFGdKIzo6Gh8fX3VAUK1atWws7PD3NxcnQD4+eefcXd3NyrvpozN1AxlW9D5mFf8bm5u6p3uHTt2oNPpcHV1Zdy4ceh0OqZPn86nn376SrHl1wZeunQpV+xAvucI5KyM+vXXX1m6dCmhoaEEBQVhZ2dH2bJlWbZsGTqdjsGDB9O4ceNc++3evVu982pubk7NmjXVge6LyvTixYtkZ2eTmppKTEwMVapUMTrfrVq14r///S9nz55VP7t+/Tq3b9+mTp06eR7jp4/FixS2XfX09CQyMpL79++rF/mvg+GCvWbNms+1MQaVK1fmypUrpKWlodfrn3tBtJWVFffv3yc7O5vk5GTi4uLUfyvqeujt7c3p06fR6/Xcv3+fgIAAOnXqRFBQEI0bN1bLISsrSz2HT58+jbu7+zvTFxrK0MfHh4CAAAIDAyldunSBbcnTnxdVe1pQm5/f9zo7O/P48WP1ZohhIqOgPPz6669ATv9RvXp1XF1dOX/+PFlZWSiKwqlTp9SLEkOddnV1xd3dnXXr1qHT6ejatSs1atR45TxXqlSJJ0+eoNPp+Pzzz4GclUb79+/nu+++Y8qUKej1+lzH/8iRI9y6dYv58+czZswYNW/FixencePGzJw5U70437lzJ126dEGn01G9enX1cdaC0jFWfuXVpUsXwsLCqFmzJh9++CHr16+nSpUqz930MHxXfHw8Y8eOJSgoSJ08cHV15bPPPkOn0xEWFka7du3UydFn29mCyvrZ86VSpUrExMSQlpZGdnb2c6tgjbVjxw66devGqlWrWLlyJRERERw/flx9VBtQb9BER0fz+PFjQkNDCQwMxM/PT43NEOfTecqv3j5r5syZjBgxgtmzZ1OjRg0URcHNzY2LFy+SkJAA5Kw4PnXqlHrTo6B6W6xYMXX1uqurK/3790en0/Hdd9/RsWNHo4+d4aLXz8+PLVu2GPWydXd3dy5cuIBerycjI0M9dq6urpw5cwZAHes4OTmRkpKi5vHkyZPqOPll2qX8ytLQptSoUUONwTAecHJyynfsktc4wNgyNSUnJyeCgoLw8fHBxcVFfWwuMzOTM2fOqOOhgo5ZYerW04oivy/yomva8uXLqzcYCvvDQ0WpbNmyxMTEAOSayM9rzBgbG0tqairZ2dmcP38ed3f3XPX+dZEVTQWwtbUlMDAQHx8fFEXh8ePHtGzZMtfFeGHSatCgAV26dMHGxgZ7e3u1oXybtWzZEl9fX3bu3ImjoyPm5uZFuiLEFN5//33mzJmDm5tbnmViWCUBOTPzJUqUoF69enmuXDOFgIAAOnfuzAcffIC/vz9+fn4oioK5uflz70aBnBd5G569hZwBh5ubG2PGjOH06dMUL16cKlWqkJCQQHR0tLo80qBUqVL4+PgwbNgwLCwsyM7OpkWLFnz44Ye8//77TJo0iX/961+kpaUxY8YMLCwsGDhwIF5eXlSoUAF7e3s1LTc3N8aNG8ff//53kx6Ttm3bEhsbS48ePbCxsUFRFCZMmMDatWvZvn27urx1zpw53Lt3L8+8v2vyayOePh+fNmHCBKZOnUpwcDDW1tYEBQXRokULdfCflpb2yj9QkF8b2KdPH06ePJlr2/zOEcg55+7evUvnzp2xsbFhwIABWFpaMnnyZLy8vFAUhRIlSjBnzpxc+40aNQo/Pz86depE8eLFsbGxYebMmUbFnpWVxaBBg0hKSmLIkCGFeh9eiRIlCA4OZt68ecydO5esrCwsLCzw8/PD1dX1lY9xYdvVunXrcv369UK9Z8pYhuXYxYoV4/Hjx3h7e1OjRo3n2hhDnSpZsiSDBg2iT58+ODo6kp6ejoWFhXpnsFSpUjRr1ozu3btTuXLlQk3wvW5fffWVOonbpUsXypUrx8yZM1m+fDnlypVTV00AhIWFER8fT/ny5Rk9ejQ///zzW9sX5lWG0dHReHp6Ym9vj4uLi9FtYtOmTYukPS2ozc9PsWLFmDJlCoMGDcLOzg69Xk+VKlUKzMORI0c4cOAAer2eWbNmUalSJdq3b0/v3r3R6/V88MEHtG7dOtdkea1atWjatCm9e/cmIyODOnXqFPolzvnx8PDg+++/p1q1aty8eRNzc3OKFy9O165dsbS0pFSpUrmOf506dVi2bBmenp5YWlpSqVIl9RFnT09PevfurT7O/te//hVvb29sbGzQaDTMmDFD/cXdgtIxRn7l1ahRI65evcrAgQOpVasWf/zxBwMHDnxuf8PYITk5mdTUVKZPn46iKJQrVw5/f398fHzo27cvKSkp9OnTJ9+J/MKcryVLlmTkyJH06tWLkiVLvvQjMpGRkbn6quLFi9O2bVvKli3LjBkzKFeunPqahapVq7J06VL++c9/otFo1F+Kql+/PhMmTFAnngw6depkVL39/PPPGTp0KM7OzpQtW1Zd6ePt7c0333yDtbU1mZmZaLVaqlSpoq5Czo+zszOZmZkEBQUxePBgJk+eTEREBCkpKQwbNqzQx87BwYHZs2czduzYAh/rg5wbGx9//DGenp44OTmh0WiwsLBg5MiRjB49mj179qjjIDMzM/z9/Rk+fDhmZmY4ODgwa9asl/5F2PzKcsuWLQAMGjSICRMmsHfvXkqXLo2FhQXFihXLc+xiuHn7LGPL1NTc3d3RarUcPHiQihUr0rNnTzIzM2nXrp06+ViQl+0Liiq/xshv7DVjxgymTp2KlZUVer3+rfixqGcZ+vmnffvtt0yaNElt4w39Ul5jRo1Gw8iRI7l37x7t2rWjVq1a6PV6goODqV27Np999tnrCVwRQhTIy8tLuXbtWlGH8VLu3bunBAcHF3UYJtO3b18lJiamqMMQb7kTJ04oo0aNKuowTCY7O1vx9PRUHj16VNShKJmZmcqyZcvUv/v06aOcPHmyCCMyvZYtWyppaWlFHYYwQkhIiJKenq4oiqKMHTtW2b59e77bTpw4UTl8+PCbCu2NO3funDJ+/PiiDkOIQrl3754SHh6uKIqipKenK61bt1b++OOPIo4qx7///W/l3LlziqIoyvHjxxWtVlvEEYnXbcOGDcqiRYuKOgyjhIeHK/fv31cURVHmz5+vLF68WFGU58eMN2/eVHr06FEkMcqKJiHykZaWRp8+ffjoo4/eqrvyhaEoCgMGDCjqMIQQL+nmzZsMGzaMnj17YmtrW9ThYGFhQWpqKl26dEGj0VCnTh313RVCvGklSpRQf7GzQoUK6vvq/mzCw8PZunWr+iu5QrwrnJyc+OWXX+jWrRtmZmb06NGD8uXLF3VYQM77syZNmoS5ubn6y6NCvC2cnZ0ZMGAANjY22NnZERgY+NaNGc0U5S14eFIIIYQQQgghhBBCvPPkZeBCCCGEEEIIIYQQwiRkokkIIYQQQgghhBBCmIRMNAkhhBBCCCGEEEIIk5CJJiGEEEL86V2+fBkvLy+0Wi3dunVj0aJFmOI1lunp6URGRhZqn2+++YaoqCiaNm2KVqtFq9XStWtXRowYQUZGRqHSunv3rvqT90IIIYQQb4JMNAkhhBDiTy05OZkxY8YwadIkdDodERERXLp0iU2bNr1y2nfv3i3URFN8fDwVKlQAoEmTJuh0OnQ6Hdu2bUOj0XDw4MFCfX+pUqVkokkIIYQQb5RFUQcghBBCCFGUDhw4QOPGjalatSoA5ubmzJ49G41GQ2BgIKdPnwagQ4cO9OvXD29vbzw8PGjevDlHjhxhz549BAYG0rZtWxo0aMDVq1dxdnZm8eLFhISEEBMTw5IlS1AUhTNnzvDkyRPat2/P7du3mThxItnZ2XTu3JmtW7dy6NAhPv744+dizMjIICEhAQcHBwDmzZvHqVOnUBSF/v370759e86fP8/06dMpUaIEzs7OWFlZMWzYMMaMGUNERATHjx/nu+++w8rKCkdHRwICArh48SJhYWFoNBri4uLw8PBgyJAhb+zYCyGEEOJ/j6xoEkIIIcSfWkJCApUqVcr1WYkSJTh+/DhxcXFERESwYcMGdu3aRXR0dL7p3Lx5k5EjR7J582YSExO5cOECgwcPxt3dnWHDhgHg6urKpk2b6NatGwcOHCA7O5ujR4/SuHFjLC0tiYqKokmTJgCcOHECrVaLh4cHXbt2pU2bNjRt2pTDhw8TFxfHpk2bWLduHSEhISQnJzNt2jQCAwNZt24dlStXzhWboihMmTKFJUuWEB4eTqNGjQgODgZyVlEtXryYzZs3s2LFClMeWiGEEEL8CclEkxBCCCH+1MqXL8/t27dzfXbz5k1+/fVXGjZsiJmZGRqNhrp16xIbG5tru6ff4+Tk5ES5cuUAKFeuHOnp6c99V7Vq1QCwtbWlUaNGHDt2jG3bttG9e3dSU1MxNzfHysoK+P+Pzq1fvx6NRkPFihUBuHTpEr/++itarZaBAweSlZVFfHw8CQkJVK9eHYAPPvgg1/c+ePAAW1tbypQpA0CjRo24fPkyADVq1MDCwgIbGxusra1f7iAKIYQQQvwfmWgSQgghxJ9ay5YtOXr0KDdu3AAgMzOTwMBA7O3t1cfmMjMzOXPmDFWqVMHS0pK7d+8C8Ntvv6npmJmZPZd2sWLF0Ov1uf428PT0JDIykvv371OrVi2OHz9O06ZNn0vDycmJoKAgfHx8SEhIwNXVlcaNG6PT6Vi7di3t27enYsWKlC1blpiYGADOnTv3XBopKSkkJCQAcPLkSfVRwbziFkIIIYR4WfKOJiGEEEL8qdna2hIYGIiPjw+KovD48WNatmyJVqvl1q1b9OzZk8zMTNq1a0ft2rXp0aMHkyZNYufOnepkTX6cnZ3JzMwkKCjoudVCdevW5fr163zxxRcAHDlyhH/84x95puPu7o5Wq8Xf35+FCxdy8uRJ+vTpw5MnT2jdujW2trZMmzaNSZMmYWNjg0ajUVcvQc5kkr+/P8OHD8fMzAwHBwdmzZqlrmoSQgghhDAVM8UUv90rhBBCCCEKRa/X07t3b1auXImtre0rp7d+/Xrat29PyZIlWbBgARqNRn03lBBCCCHEmyIrmoQQQggh3rCbN28ybNgwevbsaZJJJshZPTVgwABsbGyws7MjMDDQJOkKIYQQQhSGrGgSQgghhBBCCCGEECYhLwMXQgghhBBCCCGEECYhE01CCCGEEEIIIYQQwiRkokkIIYQQQgghhBBCmIRMNAkhhBBCCCGEEEIIk5CJJiGEEEIIIYQQQghhEjLRJIQQQgghhBBCCCFM4v8BfL/2vbOvnhgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,10))\n",
    "sns.barplot(x = Q10[\"Country/Region\"] , y = Q10[\"Total_Recoverd\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5nwt5Y2qhBb-"
   },
   "source": [
    "# Q11. &#24341;&#20837;Deaths&#20154;&#25976;&#65292;&#20006;&#37325;&#35079;&#19978;&#38754;Q3~Q5&#30340;&#25972;&#29702;&#36942;&#31243;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/14/20</th>\n",
       "      <th>3/15/20</th>\n",
       "      <th>3/16/20</th>\n",
       "      <th>3/17/20</th>\n",
       "      <th>3/18/20</th>\n",
       "      <th>3/19/20</th>\n",
       "      <th>3/20/20</th>\n",
       "      <th>3/21/20</th>\n",
       "      <th>3/22/20</th>\n",
       "      <th>3/23/20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>15.0000</td>\n",
       "      <td>101.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Japan</td>\n",
       "      <td>36.0000</td>\n",
       "      <td>138.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>27</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>35</td>\n",
       "      <td>40</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>1.2833</td>\n",
       "      <td>103.8333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>28.1667</td>\n",
       "      <td>84.2500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>112.5000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows &times; 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province/State Country/Region      Lat      Long  1/22/20  1/23/20  1/24/20  \\\n",
       "0            NaN       Thailand  15.0000  101.0000        0        0        0   \n",
       "1            NaN          Japan  36.0000  138.0000        0        0        0   \n",
       "2            NaN      Singapore   1.2833  103.8333        0        0        0   \n",
       "3            NaN          Nepal  28.1667   84.2500        0        0        0   \n",
       "4            NaN       Malaysia   2.5000  112.5000        0        0        0   \n",
       "\n",
       "   1/25/20  1/26/20  1/27/20  ...  3/14/20  3/15/20  3/16/20  3/17/20  \\\n",
       "0        0        0        0  ...        1        1        1        1   \n",
       "1        0        0        0  ...       22       22       27       29   \n",
       "2        0        0        0  ...        0        0        0        0   \n",
       "3        0        0        0  ...        0        0        0        0   \n",
       "4        0        0        0  ...        0        0        0        2   \n",
       "\n",
       "   3/18/20  3/19/20  3/20/20  3/21/20  3/22/20  3/23/20  \n",
       "0        1        1        1        1        1      1.0  \n",
       "1       29       29       33       35       40     40.0  \n",
       "2        0        0        0        2        2      2.0  \n",
       "3        0        0        0        0        0      0.0  \n",
       "4        2        2        3        4       10     10.0  \n",
       "\n",
       "[5 rows x 66 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Deaths=pd.read_csv(\"time_series_19-covid-Deaths_archived_0325.csv\",sep=\",\")\n",
    "Deaths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>Country/Region</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Japan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Nepal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Jersey</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Puerto Rico</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Republic of the Congo</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Bahamas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>The Gambia</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31062 rows &times; 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country/Region Province/State  Total_Deaths\n",
       "Date                                                          \n",
       "2020-01-22               Thailand            NaN           0.0\n",
       "2020-01-22                  Japan            NaN           0.0\n",
       "2020-01-22              Singapore            NaN           0.0\n",
       "2020-01-22                  Nepal            NaN           0.0\n",
       "2020-01-22               Malaysia            NaN           0.0\n",
       "...                           ...            ...           ...\n",
       "2020-03-23                 Jersey            NaN           0.0\n",
       "2020-03-23            Puerto Rico            NaN           1.0\n",
       "2020-03-23  Republic of the Congo            NaN           0.0\n",
       "2020-03-23            The Bahamas            NaN           0.0\n",
       "2020-03-23             The Gambia            NaN           0.0\n",
       "\n",
       "[31062 rows x 3 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Deaths.drop([\"Lat\",\"Long\"],axis=1,inplace=True)\n",
    "temp=pd.melt(Deaths,id_vars=[\"Country/Region\",\"Province/State\"],value_vars=Deaths.columns[2:])\n",
    "temp[\"Date\"]=temp[\"variable\"].apply(lambda x:pd.to_datetime(x, format = '%m/%d/%y'))\n",
    "temp.drop(\"variable\",axis=1,inplace=True)\n",
    "temp.rename(columns={\"value\": \"Total_Deaths\"},inplace=True)\n",
    "temp=temp.set_index(\"Date\")\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "colab_type": "code",
    "id": "HNL_klFGCwZD",
    "outputId": "2d405057-12f3-4d61-830d-f4b6ad84906c"
   },
   "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",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11346 rows &times; 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Deaths\n",
       "Date                                   \n",
       "2020-01-22    Afghanistan           0.0\n",
       "2020-03-14    Afghanistan           0.0\n",
       "2020-02-10    Afghanistan           0.0\n",
       "2020-02-09    Afghanistan           0.0\n",
       "2020-03-15    Afghanistan           0.0\n",
       "...                   ...           ...\n",
       "2020-02-25       Zimbabwe           0.0\n",
       "2020-02-24       Zimbabwe           0.0\n",
       "2020-02-23       Zimbabwe           0.0\n",
       "2020-02-20       Zimbabwe           0.0\n",
       "2020-03-23       Zimbabwe           0.0\n",
       "\n",
       "[11346 rows x 2 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Q11=pd.DataFrame(temp.groupby([\"Date\",\"Country/Region\"])[\"Total_Deaths\"].sum())\n",
    "Q11=Q11.reset_index().set_index(\"Date\")\n",
    "Q11=Q11.sort_values(\"Country/Region\")\n",
    "Q11"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DCVc5s2DjXsL"
   },
   "source": [
    "# Q12. &#25214;&#20986;&#22312;2020/03/22&#26085;&#26178;&#65292;&#27515;&#20129;&#20154;&#25976;&#26368;&#39640;&#30340;&#21069;20&#20491;&#22283;&#23478;&#65292;&#29992;&#27700;&#24179;&#38263;&#26781;&#22294;&#30059;&#20986;&#20358;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Italy</td>\n",
       "      <td>5476.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>China</td>\n",
       "      <td>3265.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Spain</td>\n",
       "      <td>1772.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Iran</td>\n",
       "      <td>1685.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>France</td>\n",
       "      <td>674.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>US</td>\n",
       "      <td>417.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>282.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Korea, South</td>\n",
       "      <td>104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>98.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Germany</td>\n",
       "      <td>94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Japan</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Philippines</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Canada</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-22</th>\n",
       "      <td>San Marino</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Country/Region  Total_Deaths\n",
       "Date                                    \n",
       "2020-03-22           Italy        5476.0\n",
       "2020-03-22           China        3265.0\n",
       "2020-03-22           Spain        1772.0\n",
       "2020-03-22            Iran        1685.0\n",
       "2020-03-22          France         674.0\n",
       "2020-03-22              US         417.0\n",
       "2020-03-22  United Kingdom         282.0\n",
       "2020-03-22     Netherlands         180.0\n",
       "2020-03-22    Korea, South         104.0\n",
       "2020-03-22     Switzerland          98.0\n",
       "2020-03-22         Germany          94.0\n",
       "2020-03-22         Belgium          75.0\n",
       "2020-03-22       Indonesia          48.0\n",
       "2020-03-22           Japan          40.0\n",
       "2020-03-22          Turkey          30.0\n",
       "2020-03-22          Brazil          25.0\n",
       "2020-03-22     Philippines          25.0\n",
       "2020-03-22          Canada          21.0\n",
       "2020-03-22          Sweden          21.0\n",
       "2020-03-22      San Marino          20.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "someday=pd.Timestamp('2020-03-22')\n",
    "Q12=Q11[Q11.index==someday]\n",
    "Q12=Q12.sort_values(\"Total_Deaths\",ascending=False)[:20]\n",
    "Q12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2654253d198>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,10))\n",
    "sns.barplot(y = Q12[\"Country/Region\"] , x = Q12[\"Total_Deaths\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vMy8NGo9hTn8"
   },
   "source": [
    "# &#20570;&#21040;&#36889;&#35041;&#23601;&#21487;&#20197;&#25343;&#23436;&#25972;&#20998;&#25976;&#20102;&#65292;&#24460;&#38754;&#26159;&#33258;&#30001;&#32244;&#32722;&#21644;&#35036;&#20805;&#19968;&#20491;pandas&#20989;&#25976;&#65293;merge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vDGlFKN4hTsM"
   },
   "source": [
    "### pandas.merge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "dYpS73JUj7_y"
   },
   "source": [
    "&#37341;&#23565;&#29305;&#23450;&#30340;key&#25226;&#36039;&#26009;&#25340;&#22312;&#19968;&#36215;&#65292;&#21487;&#20197;&#29992;&#22810;&#20491;key&#20358;&#27604;&#23565;&#65292;&#20294;&#26159;&#19968;&#27425;&#21482;&#33021;&#21512;&#20341;&#20841;&#24373;&#22577;&#34920;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "6JmPzxFqk0kh"
   },
   "source": [
    "&#20197;&#19979;&#20998;&#21029;&#26159;&#19977;&#24373;&#22577;&#34920;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "LFZ_XGJAkfec",
    "outputId": "81607332-e49e-4b97-80d4-48356856e798"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed\n",
       "Date                                      \n",
       "2020-01-22    Afghanistan              0.0\n",
       "2020-03-14    Afghanistan             11.0\n",
       "2020-02-10    Afghanistan              0.0\n",
       "2020-02-09    Afghanistan              0.0\n",
       "2020-03-15    Afghanistan             16.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Total_Comfirmed_Data=Q5\n",
    "Total_Comfirmed_Data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "1Y5BC552ksHk",
    "outputId": "b4a8dc5d-62fb-450b-91c8-847529930761"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Total_Recoverd</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Recoverd\n",
       "Date                                     \n",
       "2020-01-22    Afghanistan             0.0\n",
       "2020-03-14    Afghanistan             0.0\n",
       "2020-02-10    Afghanistan             0.0\n",
       "2020-02-09    Afghanistan             0.0\n",
       "2020-03-15    Afghanistan             0.0"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Total_Recoverd_Data=Q9\n",
    "Total_Recoverd_Data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "Y28bSHkOktoT",
    "outputId": "54a8ae25-3947-43e1-c001-3f68d81511fa"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>Country/Region</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-02-25</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-24</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-20</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-23</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Deaths\n",
       "Date                                   \n",
       "2020-02-25       Zimbabwe           0.0\n",
       "2020-02-24       Zimbabwe           0.0\n",
       "2020-02-23       Zimbabwe           0.0\n",
       "2020-02-20       Zimbabwe           0.0\n",
       "2020-03-23       Zimbabwe           0.0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Total_Deaths_Data=Q11\n",
    "Total_Deaths_Data.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "A0fVjlshlSG4"
   },
   "source": [
    "&#21512;&#20341;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "5Mzz4U50FmYF",
    "outputId": "cc56d1ec-9944-4fb8-dd48-e6c936cc505a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd\n",
       "Date                                                      \n",
       "2020-01-22    Afghanistan              0.0             0.0\n",
       "2020-03-14    Afghanistan             11.0             0.0\n",
       "2020-02-10    Afghanistan              0.0             0.0\n",
       "2020-02-09    Afghanistan              0.0             0.0\n",
       "2020-03-15    Afghanistan             16.0             0.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combine_data = pd.merge(Total_Comfirmed_Data, Total_Recoverd_Data, how='left', on=['Country/Region', 'Date'])  #&#26681;&#25818;Date&#20197;&#21450;Country&#65292;&#30906;&#35469;&#20841;&#32773;&#37117;&#30456;&#31526;&#20043;&#24460;&#65292;&#25165;&#26371;&#25226;Total_Recoverd_Data&#30340;&#36039;&#26009;&#21512;&#20341;&#22312;&#21491;&#37002;&#65292;&#20006;&#19988;&#23384;&#25104;&#26032;&#30340;&#35722;&#25976;\"combine_data\"\n",
    "combine_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "dHOjmvALIdC7",
    "outputId": "f9e39fd9-0c5a-47bb-bb70-273af5e9803f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths\n",
       "Date                                                                    \n",
       "2020-01-22    Afghanistan              0.0             0.0           0.0\n",
       "2020-03-14    Afghanistan             11.0             0.0           0.0\n",
       "2020-02-10    Afghanistan              0.0             0.0           0.0\n",
       "2020-02-09    Afghanistan              0.0             0.0           0.0\n",
       "2020-03-15    Afghanistan             16.0             0.0           0.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combine_data = pd.merge(combine_data, Total_Deaths_Data, how='left', on=['Country/Region', 'Date'])  #&#23559;combine_data&#20877;&#24230;&#21644;Total_Deaths_Data&#21512;&#20341;\n",
    "combine_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sGgQvuNQImmi"
   },
   "source": [
    "&#27298;&#26597;2020/03/22&#30340;&#26178;&#38291;&#26039;&#38754;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "colab_type": "code",
    "id": "r572oTl4l-6t",
    "outputId": "9677d92a-e4dd-47e6-d6eb-275c4b3416bf"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Albania</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>90.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Angola</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>91.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>183 rows &times; 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths\n",
       "Date                                                                    \n",
       "2020-03-20    Afghanistan             24.0             1.0           0.0\n",
       "2020-03-20        Albania             70.0             0.0           2.0\n",
       "2020-03-20        Algeria             90.0            32.0          11.0\n",
       "2020-03-20        Andorra             75.0             1.0           0.0\n",
       "2020-03-20         Angola              1.0             0.0           0.0\n",
       "...                   ...              ...             ...           ...\n",
       "2020-03-20     Uzbekistan             33.0             0.0           0.0\n",
       "2020-03-20      Venezuela             42.0             0.0           0.0\n",
       "2020-03-20        Vietnam             91.0            16.0           0.0\n",
       "2020-03-20         Zambia              2.0             0.0           0.0\n",
       "2020-03-20       Zimbabwe              1.0             0.0           0.0\n",
       "\n",
       "[183 rows x 4 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combine_data['2020/03/20']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "colab_type": "code",
    "id": "erUcJS-emQH7",
    "outputId": "39ed21ab-4ac1-461a-ac58-d60d325f1a5d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "      <th>Total_Deaths</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>China</td>\n",
       "      <td>81250.0</td>\n",
       "      <td>71266.0</td>\n",
       "      <td>3253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Italy</td>\n",
       "      <td>47021.0</td>\n",
       "      <td>4440.0</td>\n",
       "      <td>4032.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Spain</td>\n",
       "      <td>20410.0</td>\n",
       "      <td>1588.0</td>\n",
       "      <td>1043.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Germany</td>\n",
       "      <td>19848.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Iran</td>\n",
       "      <td>19644.0</td>\n",
       "      <td>6745.0</td>\n",
       "      <td>1433.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Reunion</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Syria</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Guam</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Guadeloupe</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-20</th>\n",
       "      <td>Guernsey</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>183 rows &times; 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths\n",
       "Date                                                                    \n",
       "2020-03-20          China          81250.0         71266.0        3253.0\n",
       "2020-03-20          Italy          47021.0          4440.0        4032.0\n",
       "2020-03-20          Spain          20410.0          1588.0        1043.0\n",
       "2020-03-20        Germany          19848.0           180.0          67.0\n",
       "2020-03-20           Iran          19644.0          6745.0        1433.0\n",
       "...                   ...              ...             ...           ...\n",
       "2020-03-20        Reunion              0.0             0.0           0.0\n",
       "2020-03-20          Syria              0.0             0.0           0.0\n",
       "2020-03-20           Guam              0.0             0.0           0.0\n",
       "2020-03-20     Guadeloupe              0.0             0.0           0.0\n",
       "2020-03-20       Guernsey              0.0             0.0           0.0\n",
       "\n",
       "[183 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#&#25353;&#29031;&#30906;&#35386;&#35215;&#27169;&#25490;&#24207;\n",
    "combine_data['2020/03/20'].sort_values('Total_Confirmed', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "SQ4vVmj5mo-E"
   },
   "source": [
    "## &#22686;&#21152;&#26032;&#30340;&#25351;&#27161;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "55QVqSdLms9l"
   },
   "outputs": [],
   "source": [
    "combine_data['Cure_Rate'] = combine_data['Total_Recoverd'] / combine_data['Total_Confirmed']\n",
    "combine_data['Death_Rate'] = combine_data['Total_Deaths'] / combine_data['Total_Confirmed']\n",
    "combine_data['Cure-Death Ratio'] = combine_data['Total_Recoverd'] / combine_data['Total_Deaths']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "5tgvgIY0nA-J",
    "outputId": "d26a2f8b-b091-4545-97f3-570e5b84fc32"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "      <th>Total_Deaths</th>\n",
       "      <th>Cure_Rate</th>\n",
       "      <th>Death_Rate</th>\n",
       "      <th>Cure-Death Ratio</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths  \\\n",
       "Date                                                                       \n",
       "2020-01-22    Afghanistan              0.0             0.0           0.0   \n",
       "2020-03-14    Afghanistan             11.0             0.0           0.0   \n",
       "2020-02-10    Afghanistan              0.0             0.0           0.0   \n",
       "2020-02-09    Afghanistan              0.0             0.0           0.0   \n",
       "2020-03-15    Afghanistan             16.0             0.0           0.0   \n",
       "\n",
       "            Cure_Rate  Death_Rate  Cure-Death Ratio  \n",
       "Date                                                 \n",
       "2020-01-22        NaN         NaN               NaN  \n",
       "2020-03-14        0.0         0.0               NaN  \n",
       "2020-02-10        NaN         NaN               NaN  \n",
       "2020-02-09        NaN         NaN               NaN  \n",
       "2020-03-15        0.0         0.0               NaN  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combine_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 235
    },
    "colab_type": "code",
    "id": "siAVNiSxnGQC",
    "outputId": "1e4b5879-56bd-440a-8fcf-c5d4a4de7df7"
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Country/Region</th>\n",
       "      <th>Total_Confirmed</th>\n",
       "      <th>Total_Recoverd</th>\n",
       "      <th>Total_Deaths</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-22</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-14</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-10</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-09</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-15</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths  \\\n",
       "Date                                                                       \n",
       "2020-01-22    Afghanistan              0.0             0.0           0.0   \n",
       "2020-03-14    Afghanistan             11.0             0.0           0.0   \n",
       "2020-02-10    Afghanistan              0.0             0.0           0.0   \n",
       "2020-02-09    Afghanistan              0.0             0.0           0.0   \n",
       "2020-03-15    Afghanistan             16.0             0.0           0.0   \n",
       "\n",
       "            Cure_Rate  Death_Rate  Cure-Death Ratio  \n",
       "Date                                                 \n",
       "2020-01-22        0.0         0.0               0.0  \n",
       "2020-03-14        0.0         0.0               0.0  \n",
       "2020-02-10        0.0         0.0               0.0  \n",
       "2020-02-09        0.0         0.0               0.0  \n",
       "2020-03-15        0.0         0.0               0.0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combine_data = combine_data.fillna(0)\n",
    "combine_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "5HpEJAVnnUVM"
   },
   "source": [
    "# &#25214;2020/03/22&#26085;&#65292;&#21069;10&#20491;&#30906;&#35386;&#20154;&#25976;&#35215;&#27169;&#26368;&#22823;&#30340;&#22283;&#23478;&#20358;&#20570;&#22294;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "colab_type": "code",
    "id": "roQ39JcUnZvz",
    "outputId": "1f4f8b2f-238f-45a2-f2f7-93aa9b65e8f3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['China', 'Italy', 'US', 'Spain', 'Germany', 'Iran', 'France',\n",
       "       'Korea, South', 'Switzerland', 'United Kingdom'], dtype=object)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10=combine_data['2020/03/22'].sort_values('Total_Confirmed', ascending=False)[:10][\"Country/Region\"]\n",
    "top_10.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "zW6UAQ-2JyDi"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Date</th>\n",
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       "      <th>16</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>China</td>\n",
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       "      <td>17.0</td>\n",
       "      <td>0.051095</td>\n",
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       "      <td>1.647059</td>\n",
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       "      <th>100</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>France</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Germany</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Iran</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Italy</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date Country/Region  Total_Confirmed  Total_Recoverd  Total_Deaths  \\\n",
       "16  2020-01-22          China            548.0            28.0          17.0   \n",
       "100 2020-01-22         France              0.0             0.0           0.0   \n",
       "161 2020-01-22        Germany              0.0             0.0           0.0   \n",
       "219 2020-01-22           Iran              0.0             0.0           0.0   \n",
       "267 2020-01-22          Italy              0.0             0.0           0.0   \n",
       "\n",
       "     Cure_Rate  Death_Rate  Cure-Death Ratio  \n",
       "16    0.051095    0.031022          1.647059  \n",
       "100   0.000000    0.000000          0.000000  \n",
       "161   0.000000    0.000000          0.000000  \n",
       "219   0.000000    0.000000          0.000000  \n",
       "267   0.000000    0.000000          0.000000  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ans=combine_data[combine_data[\"Country/Region\"].isin(top_10.values)]\n",
    "ans=ans.reset_index()\n",
    "ans=ans.sort_values([\"Date\",\"Country/Region\"])\n",
    "ans.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ARKke2LEn0Ch"
   },
   "source": [
    "## &#25209;&#37327;&#20316;&#22294;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "h-NBXrRVLX9s",
    "outputId": "144400f5-430c-4bdc-8a74-c45ea52adb19"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4Zs+eze7du8nMzOSzzz7jpptu8n4vioiIyN+jxcBFRETkhJjNZmbPns2oUaNYt24dq1atYtWqVUe1a9myJbNnzyYqKqrS9vj4eKKjo0lLS2PJkiUsWbKEVq1asWLFCm655RZWr17Nli1b2Lx5M7fffvtR523SpAldu3Zl+fLlZGZmkpOTc8pG+3Tv3p23336b0aNHk5SUxLp164471cpisXD77bfzyCOPVPrUOTj5e1ib9e/fn9zcXKZNm8bevXsZM2bMMdsNHjyYoUOHVtpmsVhYsGABw4YNY9u2bcybN4958+ZVajNu3DiefvrpGqtfRETE3yloEhERkRMWEhLCq6++ypo1a3j//ffZunUr2dnZhIeH06JFC/r160e/fv0IDAw86tiAgABee+01pk+fztatW3G5XBQXF+PxeAgKCuKtt95i0aJFfPLJJyQlJeFyuQgLC6NFixb06dOHgQMHsm/fPpYvX45hGKxevdq7/tGp0L59e1atWsXq1atZs2YN27ZtIzU1leLiYhwOB3FxcZx//vkMHDiQpk2bHvc8J3MPa7vbbruNiy66iMWLF5OQkMD+/ftxuVxER0fTqVMnBg0axHnnnXfMY+vWrcvSpUtZvnw5H3zwAYmJiRiGQevWrbn77rvp1auXgiYREZGTYDIMw/B1ESIiIiIiIiIicubTGk0iIiIiIiIiIlItFDSJiIiIiIiIiEi10BpNIiIi4rfcbjdFRUV/+3iTyYTdbq/GikRERET8m4ImERER8Vvr1q3j3nvv/dvH2+12Nm/eXI0ViYiIiPg3TZ0TEREREREREZFq4defOufxeHC7/ePyLBaT31yL+A99X/of9al/UX/6H/WpHEnfE/5F/el/1Kf+Rf1ZzmazHHefX0+dc7sNsrMLfF1GtQgPt/vNtYj/0Pel/1Gf+hf1p/9Rn8qR9D3hX9Sf/kd96l/Un+Wio0OPu09T50REREREREREpFooaBIRERERERERkWqhoElERERERERERKqFX6/RdCxudwlZWWmUlDh9XcoJSU014cfrth+T1RpAREQ0Fkut+zYVEREREREROSPVur/gs7LSCAqy43DEYDKZfF1OlVksZtxuj6/LOGUMwyA/P4esrDTq1m3g63JEREREREREpApq3dS5khInDkfYGRUy1UYmkwmHI+yMG3kmIiIiIiIiUpvVuqAJUMh0hlA/iYiIiIiIiJxZat3UudPFrl07mT//RYqKiigsLKR79x4MGTLspMOV4uJiVq/+hH79+lf5mMcee4ibbrqVJ554nKZNm2EymcjPz6dhw0ZMmjQFm81W5XNlZKTzxhuv8eijY/9O+SIiIiIiIiJyBquVI5p8LTc3lyefHMcDDzzCnDkLWLDgDXbu/IOPPlp+0ufOzMzgP//5sMrtU1JSiIkpXQOpc+fzmDv3FebMWcDChW9jtVpZv37tCb1/VFRdhUwiIiIiIiIitZRGNPnA+vVr6dSpC02axAJgsViYMOEpbDYbc+a8wNatWwDo06cvN9wwiKlTn6RPnyvo2rU733zzNV98sZrx45/kppsG0K5dB3bvTiYyMpIpU57lrbcWkpSUyBtvvIrH4+Hnn7dSWFjIJZf0IS3tICNGPIjb7ebOO2/mtdcWs2HDOrp373lUjS6Xi4yMdEJDwwB4+eW5/PjjJjwegxtvvIVLLrmMX375mZkzn8VutxMREUFAQCBDhgxj0qRxvPLKIjZu/IZXXplPYGAgYWF1ePzxJ/j9999YsuQtbDYrBw7s55JL+nDHHXedupsvIiIiIiIiIjVGQZMPpKen0bBho0rb7HY7GzZ8xYED+3nllUW43W6GD7+Lzp27HPc8+/fvY/bs+dSvH8Pw4UP49ddfuP32Iezc+Qd33jmU119fQFxcMx566FEKCvIZMuRW7r13JN9+m0CnTucREBDA5s3fc/XV17Jt20/88MP3jBw5jOzsLEwmE9dccx3nndeVhIQNHDiwj/nzF1JcXMw999xJly7deP75Z5gw4V80b96CBQteIj09zVubYRg8++zTzJv3GtHR9Vi2bClvvvk6F1zQk9TUAyxatBSXy0X//n0VNImIiIiIiIj4CU2d84H69Rtw8GBqpW379+/jt99+pUOHczGZTFitVtq0aUdS0q5K7QzD8D6vUyec+vVjAKhXrz5OZ/FR7xUbGweA3e7g3HM78d13CaxatYKrr+5PUVERFouFwMBAoHzq3EsvvYrNZqNBg4YA7Nr1B7/9tp2RI4fxyCP3U1JSQkrKAdLT02nevAUAHTp0rPS+2dnZ2O0OoqPrAXDuuR1JTCy9lubNz8JqtRIcHExgYNDfu4kiIiIiIiIictpR0OQDPXr05Ntvv2bfvr0AlJSUMGfOC4SGhnmnzZWUlPDzz1tp3DiWgIAAMjLSAdixY7v3PMdaONxkMmMYHu9rs7m8Tb9+A/jPfz4iKyuLs85qycaN39C5c9ejzlGnTjgTJ05m+vQppKenExfXlI4dS0OoF198mUsuuYxGjRpRr159b3i0bdtPlc4RHh5OQUE+6emldW/Zssk7VVAfJiciIiIiIiLinzR1zgccjhDGj3+K6dOn4PF4KCgooEePCxk48EZSU1O45547cblcXHLJZbRqdTb9+vXnmWf+xaeffuINa44nIiICl6uEefNe9I5UKtOmTVv27dvDgAH/BCAhYQNDhgw75nmaNWvOwIE3MmvWc0yePI3Nm3/gvvvuprCwgIsu6o3d7uCRR8bwzDP/IjjYjs1m9Y5egtIQ7LHHxjN+/GjMZhOhoWGMG/cku3b9cZJ3T0REREREREROVyaj4lwsP+NyucnOLqi0LSUlmZiYOB9V9PdZLGbcbs9fN/wTHo+H4cPvYubMOTgcISdd0/Lly7jkkj5ERETwyivzsNls3Hnn0JM+b0Vnan/VFuHh9qN+xuTMpj71L+pP/6M+lSPpe8K/qD/9j/rUv6g/y0VHhx53n0Y01RL79+9j3LjRXHvtddUSMgFERkby8MMjCA62ExISwvjxT1bLeUVERERERETkzKSgqZZo2LARixa9U63n7N37Mnr3vqxazykiIiIiIiIiZy4tBi4iIiIiIiIiItVCQZOIiIiIiIiIiFQLBU0iIiIiIiIiIlItFDSJiIiIiIiIiEi10GLgPrJr107mz3+RoqIiCgsL6d69Bx07duajj5bz1FPPVGo7e/YMbr75VqKj6/uoWhERERERERGRv6agyQdyc3N58slxTJ36HE2axOJ2u5k4cSxRUVHHbP/gg49gsZhxuz2nuFIRERERERGRM5dhGLgNKHF7KC4p/XK6PRSVeHCWlG1zU1xiUFzixlmhnbf94UeT1UxhkQu3p/Scbo9R/mUYlFR8fXhbxecBFjNPX30OjcODfX1bapSCJh9Yv34tnTp1oUmTWAAsFgsTJjzFzz9vZcWKD3nkkQfIysqkR48Lueuuexg5chhjxoxn9epPOXBgP1lZWaSmHuD++x+mW7fufPnlGt5//98YhgHAlCnPEh4e7stLFBERERERkVrEOByqlJR9uQ1KPB5KPAZO9+EQp6Q04DkywCnyhj2eSkFPxTDI5fYc89yVnntfl25zHX5+sgKtZgKtZgKsZsyAxWwq/TKZvM+tR2yzWc0EV9hvMZsICbAQbLOc/M0+zdXqoOnjbams+DmlWs95TdsYrmrz51Pc0tPTaNiwUaVtdrsdq9WK0+nkmWeex+PxcP31V3HXXfdUamezBTBjxots3PgNS5cuoVu37uzZs5vnnptNUFAQzz47le++S+Dyy6+s1usSERERERHxZ2UjXzweA49h4DE4/Fjxefl+g9IRLYYBbqP08cj29jwnOTlFeIzSES0eT2nbI891rPetfO4jaqj0fpXf96i2ngojbY4YdVNpBM6f7DsyuCkNdCqEO4fbVQeLCQKtlkrhTqDVjM1ixno40Am2mbFaLNjMZqwWk3e7tcJry+HXtgr7A22Hz2upfO6gCs8DLKWvA60WAqxmAiwmTCYTAOHhdrKzC6rlOv1ZrQ6afKV+/Qbs2LG90rb9+/fx44+bad68BQEBAQBYLEd3T3x8KwDq1YvB6SwGICIikilTJmG320lOTqJt2/Y1fAUiIiIiIvJ3VZzKU/EP9UKTmaxDpaFESVkA4SkNJ0oMA0+FQKBsX9n0HU+FaToVg4+ykMJtlI04KXv/8qDC7Tk6NHF73788xCirqWJYUhpElLcpO1dZEGIAGGBQ/rp0W2m78jaVXxuHDyw9F97ZG2X7PZVeHz73Ee/jrngPK1xr5eflIU/1xCSnBxNgNoHJVD7axlphZI3liJE21mOMyAm0mivt84Y3FjO2sm0Vwp/S14fDnkqvTdgOBzvlXxUCH1vl7Vazyde3T05SrQ6armpT/y9HH9WEHj16snjxQgYMGEijRo0pKSlhzpwX6NKlG6a/+Jk6cn9eXh6vv76A5ctXAjBq1Ajvf4RFRERERKQyj2FQ4HSTV1xCfoXHohIPrhIPxe7SKTqlU3UMnIen8jjdpVN4XG7jiDaew23KR32UVBz1UWHkR8VpRae70sABzBUCCbPJhNmE93nFNubDAYX58GvT4ZDDROnfMKV/xpi8z73bytqYTZVfl7WpdI6Kx5dvhwrvefh9zCYO13R0feXXYsJirri//HrNFa7FbDZhpiy0Ofx4uDZvm0rPy+oxERYaSGGB07vtyPtYdq5j3UOzufzcx3o/0xHvV3bNZfdHxFdqddDkKw5HCOPHP8X06VPweDwUFBTQo8eFNG3ajB9/3HSC53LQrl0Hhgy5leDgYEJDQ0lPT6uhykVEREREfKMsIKoYDuU7S8gvPvxYcXuxm7wK+/IqtMl3uk/4vS1mE4GW0ik4AYen1gRYzN5pNQFWM6FWS4UpPEdO5ymfxnPk9oojQkJDAikucmGtEEaUPbeYS4MI6+EAouLIk/LQp3I4cWTwYTYfY9tx9kv10FQrqY1MRg0Mf3G5XIwdO5Z9+/ZhNpuZPHkyVquVsWPHYjKZaNmyJZMmTcJsNrNs2TLeffddrFYrw4cPp3fv3hQVFTF69GgyMjJwOBxMnz6dyMhItmzZwtSpU7FYLPTs2ZORI0f+RR3uo36oU1KSiYmJq+5LrnG19VPnztT+qi30D6f/UZ/6F/Wn/1GfypFO5+8JwzAoLvFQ4HJT6HJT6Kz43E2By02Ry02By0N+xeDoGEHRiQREdpsFR6AFR4CFkEArjgALjgArIYGlj5W2e/eXLtB7ZHgUYCldF8ZyiqbynM79KX+P+tS/qD/LRUeHHndfjYxoWrt2LSUlJbz77rts2LCBWbNm4XK5eOihh+jWrRtPPPEEX3zxBeeeey6LFy9m+fLlFBcXc/PNN9OjRw+WLl1KfHw8999/Px9//DHz5s1jwoQJTJo0iTlz5tCkSROGDRvGtm3baNOmTU1cgoiIiIhIrVAWCBW6SsOfQmf58yLvNjeFLk+F5+7DbTzHDI7K2lT1/2ibAPvhwMcRaCUkwEJIgJX6oYHeoKhiMBRSISDybguwYg+wnLJQSEREjq1GgqZmzZrhdrvxeDzk5eVhtVrZsmULXbt2BeCiiy5iw4YNmM1mOnbsSEBAAAEBAcTGxrJ9+3Z++OEH7r77bm/befPmkZeXh9PpJDY2FoCePXuSkJCgoElEREREhNLAKK/YzaEiF4cKXWQXlXCo0MWhsseKzw8/5haXUOCseiAEpR/zHWyzYLeZCbJZsB8eDRQebCPIZva+Lm1jITjAQrDNXP7cWvpot5VuLzuHpmuJiPiHGgma7HY7+/bt48orryQrK4uXX36ZjRs3ehckczgc5ObmkpeXR2ho+XArh8NBXl5epe0V24aEhFRqu2fPnpooX0RERETktJRXXML21Dx+Scnl19RcsovdZOQWe8Ml93ESIxMQGmSlTpCVOsE26joCaFHXTliQrTQYspYHRPYAS2n4c0RQVBYeacSQiIj8mRoJmhYtWkTPnj155JFHOHDgAHfccQcul8u7Pz8/n7CwMEJCQsjPz6+0PTQ0tNL2P2sbFhb2p3VYLCbCw+2VtqWmmrBYzNVxmafcmVr3yTCZju5DOX1YLGb1j59Rn/oX9af/UZ/WLs4SD7+l5rJ13yG27szMcmkAACAASURBVC392pmeR9kKq00igmkUHkx8TCjhdhsR9gDC7TbCg22E2wOIqPC8TrBNAdEZQD/j/kd96l/Un1VTI0FTWFgYNpsNgDp16lBSUkLr1q359ttv6datG+vWreP888+nffv2zJo1i+LiYpxOJzt37iQ+Pp5OnTqxdu1a2rdvz7p16+jcuTMhISHYbDZ2795NkyZNWL9+/V8uBu52G0ct1GUYxhm5qHZtXQzcMI7uQzl9aDE8/6M+9S/qT/+jPvVfHsNgd1Yhv6Tk8ktKLttScvntYB6uw0OUIu02WseEcmnLONo0COWc+qGlIVJVvidcJeS6Sk7BVcjJ0s+4/1Gf+hf1Z7lTvhj44MGDGTduHDfffDMul4tRo0bRtm1bJk6cyMyZM2nevDlXXHEFFouF2267jZtvvhnDMBg1ahSBgYEMGjSIMWPGMGjQIGw2GzNmzADgqaee4tFHH8XtdtOzZ086dOhQE+WLiIiIiNQYj2GQmlvMjoN5bEvJZduBXH5JzSWvuPRT1YJtZs6pH8pNHRvRpkEobWJCqR8a6F2GQkRE5HRmMgzjRNb+O6O4XO6j0saUlGRiYuJ8VFGpAwf2c8cdg4iPb+Xd1rlzF+68c+hxj6mtI5pOh/6S41Oi73/Up/5F/el/1KdnliKXm+SsQpIzC0jKLCAps5CkzAJ2ZxVSXFL6e53FbKJlXQdtGoTSOqY0VGoaaa/yNDd9T/gX9af/UZ/6F/VnuVM+okn+WtOmzZg79xVflyEiIiIiJ8EwDDIKXEeFScmZBRzIKfa2M5ugYZ0gmkba6RobQdPIYJrXdRAf7SDIZvHhFYiIiFQvBU2niU2bvmf+/DnYbDauuWYAgYGBvP/+vykbcPbMM8/x+++/s2TJW9hsVg4c2M8ll/ThjjvuYs+e3UyfPgWXy0VQUBBPPvk0Tmcxzz5b+hgQEMhjj42jfv0YH1+liIiIyJnHWeIhNbeYAzlFpOQUk5JbxP5DRSRnlYZKZVPeAIKsZppG2mnfMIxr2tppGln61SQimEBr7ftgFxERqX1qddAUuP3/CPr13Wo9Z9E5N1F89sC/bJeUlMjIkcO8r6+5ZgBOp5NXX30TgLfeWshzz80mKCiIZ5+dyrffJhAZWZfU1AMsWrQUl8tF//59ueOOu3jppVnceutgzj//Ar744nN+//03Vq78iIEDb6R79x58//13vPzyXCZNmlKt1yoiIiJypjMMg9ziElJyijmQU0xKThEpuaWPB3KKScktJiPfWekYExAdEkBspJ2+Z9fzhklxkcHUCw3ErLWURESkFqvVQZMvHTl1btOm74mNLV+LKCIikilTJmG320lOTqJ9+9KFz5s3Pwur1YrVaiUwMAiA3buTadu2PQCXXtoHgBdfnMHixW+wZElpcGW1qqtFRESkdjIMg/R8J4kZpVPbkjML2HeoiJTc0hFK+U53pfYBFhMxYUHEhAbSs1kk9cMCaRAWSExoEDFhgdQPDcRm0egkERGRY6nV6UPx2QOrNProVDEfXvQxLy+P119fwPLlKwEYNWqEdwrdsf4HWVxcM379dRtdunRj9epPyMk5RGxsUwYNupV27TqQnJzE5s0/nLLrEBEREfGFEreHvYeKSMooWy+pfM2kimGSI8BCozpBNK4TzHlNwokJCyoNkg6HS5F2mz7hTURE5G+q1UHT6crhcNCuXQeGDLmV4OBgQkNDSU9Po379BsdsP2LEgzz33NO8+ebrBAUF8cQTk+nevSczZkzD6XRSXFzEgw8+eoqvQkRERKRm5DtLSD4cICVlFpCYUUByZiF7sgsp8ZR/oHK9kADiIu1c1bo+cZF2mkUF0zTSTl1HgIIkERGRGmIyyobK+CGXy33URw+mpCQTExN3nCNOXxaLGbfb4+syTrkztb9qC328p/9Rn/oX9af/qU19WuIxOHCoiN1ZhSRnFZQ+ZpY+HswrXzPJYoLG4cE0i7KXhkmRdppG2YmLCCYk0P//n2pt+p6oDdSf/kd96l/Un+Wio0OPu8////UVERERkdOSYRhkFbpIzixkd1bB4cfSYGlvdlGl0UlhQVbiIoLpEhtOXGT5p7k1Dg/SekkiIiKnEQVNIiIiIlKjDMMgNbeYHWn5/JGWT9LhkUnJWQXkFZevnWSzmGgcXjq97aIWdYmLDCYuIpi4CDt1gq2a7iYiInIGUNAkIiIiItWmxO0hMbOAHQfz2ZGWx460fH4/mMehohJvm/qhgcRGBNP37HrERpZOc4uNCKZBWBAWs8IkERGRM5mCJhERERH5W3KLSvg9Pa80VDpYGirtysjH5S6d8hZoNdOiroPeLesSXy+E+GgHZ0U7cAToV1ARERF/pX/lRUREROSYXG4P2YUusgpcZBeWfiVnFpaOVDqYx/6cYm/biGAbreqFMKhTI+KjQ4ivF0KTiGCsGqEkIiJSqyhoEhEREfFDhmHgMcofPYaB0+0hu7DEGxplHw6QsgrLg6SKwVK+033UeU1Ak4hgWseE0b+9g/h6IbSKdhDlCNAaSiIiIqKgyVf27dvL/PkvcvDgQYKCgggMDGT48Ado3ryFr0sTERGR00iJ28OHP6WwdNM+cotL8HjKgyOj7JHSx4rB0okItJoJD7YRHmwjIthGozpBpc/t5dvqHN7fICwIe4ClRq5VREREznwKmnygqKiIsWMfZsyYCbRt2x6AX375mZkzpzN37is+rk5EREROBx7DYPX2NBZ8ncTe7CLaNQjjwpbRuJwlmExgNpm8j2YTmCo+Unl/2aPNYiL8cGgUURYs2W0EWc0ajSQiIiLVQkGTD2zYsI7Onbt4QyaA1q3bMmfOAlJTU3j22adxOosJCAjkscfG4fF4GDPmYcLCwujevQcJCRs466x4EhN3EhwcTPv2HfnuuwTy8vKYOXMuFouZadOmkJeXy6FD2fTrN4ABAwYycuQwWrZsxa5dOykoyGPy5Ol8+20Ce/fuYcSIB3G73dx558289tpiAgICfHiHREREai/DMNiQmMm89Un8npZPy2gHswa05YJmEUREOMjOLvB1iSIiIiLHVauDptV7P+GTvSur9ZxXNr6ayxtf+adt9u/fT6NGTbyvx459mLy8PDIy0qlXrz433XQr3bv34Pvvv+Pll+cybNh9ZGam8/rri7HZbCQkbKB16zY89NCjPPzw/QQFBTFr1jymTJnEli2bqF8/hssuu5xevS4hPT2NkSOHMWDAQADOOacNDz74CAsWvMTnn3/G9df/kyFDbuXee0fy7bcJdOp0nkImERERH9my9xAvrU9ky74cGtUJYvI/zubys6Mxa7SRiIiInCFqddDkK/Xr12f79l+8r6dNmwnAsGGD+fnnrSxe/AZLlrwJgNVa2kUNGjTCZrN5j4mPPxuA0NAQmjZtdvh5GE5nMVFRUSxb9g5r136J3e6gpKSkwnGtvDVkZGRgtzs499xOfPddAqtWrWDw4KE1eOUiIiJyLDsO5jF/QxLrd2US5QhgzKVncW27GGwWs69LExERETkhtTpourzxlX85+qgm9OzZi7ffXsTPP/9E27btANi7dw9paQdp3botw4bdR7t2HUhOTmLz5h8AMB/x0cB/to7C0qWLadu2PQMGDGTTpu9JSFj/p8f16zeAJUve5NChbM46q2V1XKKIiIhUwd7sQl7ekMTq7WmEBFoZ0bMpN3ZqRLBNi22LiIjImalWB02+YrfbmT79BV5+eQ4vv5yB212CxWLlscfGERvblBkzpuF0OikuLuLBBx894fP36HERzz//DKtXf0KdOnWwWCw4nc7jtm/Tpi379u1hwIB/nsxliYiISBWl5xXz2je7+fCnFKxmE7d3bcLtXRoTFmT764NFRERETmMmwzBO8ANwzxwul/uoBTNTUpKJiYnzUUV/n8Vixu321Mi5PR4Pw4ffxcyZc3A4QmrkPf6uM7W/aovwcLsWpfUz6lP/ov48/eQUuXhr417e3bSPEo9B/3Yx3H1+LHVDAqt0vPpUjqTvCf+i/vQ/6lP/ov4sFx0detx9GtFUy+3fv49x40Zz7bXXnXYhk4iIiL/Id5bwf1sO8OZ3e8grLuHys6O5t0dTGocH+7o0ERERkWqloKmWa9iwEYsWvePrMkRERPxCidtDclYhO9PzD38VsDMjn33ZRRhAz+aRDO/RlPh6+p87IiIi4p8UNImIiIicII9hsP9QUWmQVBYqZeSTnFlIiad0VQKLCWIj7JxdL4R/tK5Pt7gI2jcM83HlIiIiIjVLQZOIiIjIcRiGQVqek10Z+eWhUkYBu9LzKSopXzuxYVggzes66Nk8ihZ17ZxV10FchJ0Aq9mH1YuIiIicegqaREREpNYzDIP0fCe7Dk91S8woYFdGAbsy8skrdnvbRdpttKjroH/7BrSIstOiroPmde04AvQrlYiIiAgoaBIREZFaxDAMMvKdpaOSMgpIzMhnV3rp89ziEm+7OkFWmtd1cMXZ9WgeZad5lIMWde1E2AN8WL2IiIjI6U9Bkw8cOLCfSZPG8cori3xdioiIiF9yewwO5BSxO6uQ3VmFh0co5bMro4CcoiMCpSg7l58dTbNIO83rloZKkXYbJpPJh1cgIiIicmZS0CQiIiJnJMMwyCxwHQ6TCryhUnJWIXuzC3G5DW/bsMOB0mXx0aUjlOraaRblIEqBkoiIiEi1UtDkQyNHDiM8PILc3FymTn2W6dOnkJeXy6FD2fTrN4ABAwYycuQwWrZsRWLiTvLz85g8eToxMQ18XbqIiMgpk+8sKQ2RMsuCpPJQKd9Zvn6SzWKicXgwcRHBXNg8ktiIYGIj7MRGBGuEkoiIiMgpUquDpqJPP6bo4/9U6zmDrupHUN+rqty+T5++9OrVm99+285ll11Or16XkJ6exsiRwxgwYCAA55zThocfHs28eXP4/PPPuO22wdVas4iIyOlo/6Eipq35nYSkLO82ExATFkhsRDBXta5fGiZFBhMbEUxMaBAWs8IkEREREV+q1UHT6SA2Ng6AqKgoli17h7Vrv8Rud1BSUr5+RHx8KwDq169PRkaGT+oUERE5Vdweg2Vb9jPvq0TMJhN3nR9LfL0QYiOCaVwniCCbxdclioiIiMhx1OqgKajvVSc0+qgmmM1mAJYuXUzbtu0ZMGAgmzZ9T0LCem8bDfUXEZHaYldGPlM+28FPB3K5oFkEj1/WkpiwIF+XJSIiIiJVVKuDptNJjx4X8fzzz7B69SfUqVMHi8WC0+n0dVkiIiKnhMvt4c3v9rDw293YbRaeurIVV55TT/+zRUREROQMYzIMw/jrZmcml8tNdnZBpW0pKcnExMT5qKK/z2Ix43Z7fF3GKXem9ldtER5uP+pnTM5s6lP/cqb057aUXKZ8toM/0vO5vFU0j1zSgkh7gK/LOi2dKX0qp46+J/yL+tP/qE/9i/qzXHR06HH3aUSTiIiI+ESRy82Cr5N554e9RDkCeP7aNvQ6K8rXZYmIiIjISVDQJCIiIqfc97uzmfr5DvZmFzGgfQwPXNSckED9WiIiIiJyptNvdCIiInLK5BWX8OK6XXywNYXG4UHM/2d7zosN93VZIiIiIlJNFDSJiIjIKbFuZwbT1vxORr6TW89rzD0XxBFks/i6LBERERGpRgqaREREpEZlFjiZ8d+drP4tjbPqOnju2ja0iTn+ApIiIiIicuZS0CQiIiI1wjAMPt1+kBn/3Um+0809F8RxR9cm2CxmX5cmIiIiIjVEv+n5wIED+xk2bDA7d/7Bli2bjttu06bvmTTp8VNYmYiISPXILnDx2IpfeGLVb8RGBPP2bZ24u3ucQiYRERERP6cRTT70v/99QVRUFOee28nXpYiIiFSbDYmZTP5sB4cKXTxwUTNu7twYi9nk67JERERE5BRQ0OQjOTmH+OSTlVitNuLjzyY1NYX33/83hmEAMGXKs9623333Df/5z4dMnjwNgOHDhzB58rPUrVvXJ7WLiIgcS5HLzYvrEvn3lv00j7Lz4nVtia8X4uuyREREROQUqtVBU9LmdBI3pVfrOZt1qkvTjn8dAIWF1aFbt+5ERUXRunVbvv/+O557bjZBQUE8++xUvvsugbp1owHo0qUbs2Y9T05ODhkZ6dSpE66QSURETivbU3OZuGo7SZmFDOrUiBEXNiPQqmlyIiIiIrVNrQ6aTicREZFMmTIJu91OcnISbdu29+4zmUz07fsP1qz5jP3793H11df6sFIREZFybo/BWxv3sODrZKLsNuYObEe3uAhflyUiIiIiPlKrg6amHas2+qimmM1mPB6DvLw8Xn99AcuXrwRg1KgR3il0Za666hqefHI8RUWF3HvvSF+UKyIiUsm+Q4U8+clvbNmXw2Xx0Yy97CzqBNt8XZaIiIiI+FCtDpp8rVWrc5g3bzZNmzajXbsODBlyK8HBwYSGhpKenkaDBg29bevVq4fdbqdNm3ZYreo2ERHxHcMw+PiXVJ7/704AnrqyFVeeUw+TSQt+i4iIiNR2Six8oEGDhrzyyiIALrigJwCdOp13zLYVtxuGoWlzIiLiU9mFLp75/Hf++3s6HRvX4akrW9EgLMjXZYmIiIjIaUJB0xmguLiI++67m65du9O4cRNflyMiIrXUN0mZPPXpDrILXdx/YTNuOa8xFrNGMYmIiIhIOQVNZ4DAwCAWLXoHt9vj61JERKQWKnK5mftVIu9t3k+zKDuzBrSlVf0QX5clIiIiIqchBU0iIiJyXL+l5jHxk+0kZhRwU6dGjOjZlCCbxddliYiIiMhpSkGTiIiIHMVjGCz5fi/z1icRYbcx9/p2dGsa4euyREREROQ0VyNB0/vvv88HH3wAQHFxMb/++ivvvPMOTz/9NCaTiZYtWzJp0iTMZjPLli3j3XffxWq1Mnz4cHr37k1RURGjR48mIyMDh8PB9OnTiYyMZMuWLUydOhWLxULPnj0ZOXJkTZQvIiJSq+UUuZj0yW+s35XJpfF1efyyltQJtvm6LBERERE5A5hr4qTXXXcdixcvZvHixbRp04YJEybw0ksv8dBDD/HOO+9gGAZffPEFaWlpLF68mHfffZfXX3+dmTNn4nQ6Wbp0KfHx8bzzzjv079+fefPmATBp0iRmzJjB0qVL+fHHH9m2bVtNlC8iIlJr/ZKSy22LN/FNUhajLzmLZ64+RyGTiIiIiFRZjQRNZX766Sf++OMPbrzxRrZt20bXrl0BuOiii/j666/ZunUrHTt2JCAggNDQUGJjY9m+fTs//PADF154obdtQkICeXl5OJ1OYmNjMZlM9OzZk4SEhJosX0REpNYwDIPlP+7n7ne34DHgtZs6cEPHhphM+lQ5EREREam6Gl2jacGCBYwYMQIo/QW27JdVh8NBbm4ueXl5hIaGets7HA7y8vIqba/YNiQkpFLbPXv2/On7WywmwsPtlbalppqwWGo0X/tTmzZ9zwcf/B+TJ08D4L//XcPrry9gxowXiYlp8KfHVlfdCQkbWLLkLcxmMx6Pm379+nPFFf844fP8+9/v8s9/3sTHH68gOTmJ++57oFrqq8hkOroP5fRhsZjVP35GfepfqtqfBc4SJn60jRVbD9CrZV2eG9ieCHvAKahQTpR+RuVI+p7wL+pP/6M+9S/qz6qpsaApJyeHXbt2cf755wNgNpeHJPn5+YSFhRESEkJ+fn6l7aGhoZW2/1nbsLCwP63B7TbIzi6otM0wDNxuz0lf39/ldnu8NaxZ8xnvvLOYWbPmERkZ9ad1WSzmaqt7+vSpLFq0lNDQUAoK8rnjjpvp3LkrERGRJ3SeRYte57rrbsDjMfB4aua+GsbRfSinj/Bwu/rHz6hP/UtV+jMpo4DH/vMLSRkF3Nsjjju7xWJylpDtLDlFVcqJ0M+oHEnfE/5F/el/1Kf+Rf1ZLjo69Lj7aixo2rhxIxdccIH3devWrfn222/p1q0b69at4/zzz6d9+/bMmjWL4uJinE4nO3fuJD4+nk6dOrF27Vrat2/PunXr6Ny5MyEhIdhsNnbv3k2TJk1Yv379SS8GvvPbdfyR8L+TvNLKzup+MS26XfSX7T799GOWL3+PWbPmeQOzHTu288ILz2GxWAgICOCxxyZgGB7GjBlFnTrhnH/+BZx/fg9mzXoOwzCoU6cOjz8+ieDgYJ577mkOHkzl0KFDnH/+BQwdOvy47x0ZGcm//72Uiy++lGbNmrNkyb8JCAggNzeXyZMnkp+fj9vtZujQ4XTu3IWBA/uxZMn/ERgYyPz5c4iLa0pa2kFycg7x/PPTaN26Ddu2/cSoUSPIzs6if/+BXHvtddV2T0VEpGas3n6QKat3EGS1MGdgO7rF6VPlREREROTk1FjQlJiYSOPGjb2vx4wZw8SJE5k5cybNmzfniiuuwGKxcNttt3HzzTdjGAajRo0iMDCQQYMGMWbMGAYNGoTNZmPGjBkAPPXUUzz66KO43W569uxJhw4daqr8GvXjj1tIS0sjJycHt9vt3T59+lTGjp1Ay5at+Oqr/zF37kxGjHiIzMwMFi16B7PZwrBhg3n88Sdo1qw5K1d+yJIlb3LNNQNo06YdY8dOpLi4mOuu+8efBk3Tps3kvffe4amnxpOVlcW1117HkCHDePPN1znvvG7ccMMg0tIOct99d/Peex8e8xx33HEXy5cv49FHx7Jq1X+wWq3MnDmXlJQDjB79oIImEZHTmLPEw+y1u1i2ZT8dGobx9NXnUC800NdliYiIiIgfqLGg6e677670ulmzZrz99ttHtbvhhhu44YYbKm0LDg7mxRdfPKrtueeey7Jly6qtxhbdLqrS6KPqFhVVlxdeeImVKz9k8uSJPP/8i5jNZtLT02jZshUAHTp04uWX5wLQoEFDbDYbbreH5OREZswoXd/J7S6hSZM4wsLC+PXXbWza9D0OhwOn03Xc987JySElJYX77nuA++57gLS0g4wf/xitWp1DcnIil1/eF4Do6HrY7Q6ys7MqHW8YxjHPGx9/NiaTicjIKIqKik76HomISM04kFPE4//5lW0pudzcuRH3X9gMqw/XLhQRERER/6LfLH2gcePGBAYGcv31N2K12njrrYUA1K0bzR9//A7Ali2baNIkFgCTqbybYmPjmDDhX8yd+wrDhz9A9+49WLVqJSEhoUyaNIWbbrqV4uKi4wZCLpeTJ54YS2pqClAaekVFRREQEEBcXDN+/HELAGlpB8nNzSEsrA4BAQFkZKRjGAZ//LHDe66K76FPJRIROf19nZjJbYs3kZRZwPRrWjPq4hYKmURERESkWtXop87JX3v88ScYMuQW2rc/lzFjxvPCC89iGAYWi4WxYyce1f6RRx5nypQn8HhKF94eO3YicXHNePLJcWzduoWgoCAaN25CenoaO3f+we+/7+C22wZ7j4+KqsuoUaMZP/4xLBYLHo+bCy64kK5dz+fss8/hmWf+xf/+9wXFxcU89th4rFYrN998O6NHP0hMTMNKnxLYtGkz/vWviZx3Xtcav08iIvL3uT0GryYks/Cb3ZwV7WBav9bERgT7uiwRERER8UMm43hDX/yAy+U+akX4lJRkYmLifFTR3/d3PnUuKyuT//znQ26/fUgNVVXzztT+qi30qQv+R33qX8LD7ezan82Ej7ezcXc2/drU57FLzyLIZvF1afI36WdUjqTvCf+i/vQ/6lP/ov4s55NPnRPfMwyDQYNu83UZIiLiIz8kZ3H/u5vJKSph4uXxXNMuxtcliYiIiIifU9DkxyIjo3xdgoiI+IBhGCz5YR9zv0qkQVggrw86l1b1QnxdloiIiIjUAgqaRERE/MihQhdPffobX+3KpM859Rl3aQtCAvXPvYiIiIicGvrNU0RExE/8tD+HcSt/JT3fyaO9WzCs91kcOlTo67JEREREpBZR0CQiInKGqzhVrn5oIK8NOpc2MaGYTCZflyYiIiIitYyCJh9ZvHgR33//HWazCZPJxLBhIzj77HNO6PjOnc+jdeu2NViliIic7ipOlevdsi4TL48nNEj/vIuIiIiIb+g3UR9ITNzFhg3rmD//dUwmE7///htTpjzJm28urfI5brttcE2VJyIiZ4it+3MYX2Gq3A0dG2oUk4iIiIj4lIImH4iIiCQ1NYWPP/6Ibt0uoGXLVrz66puMHDmMuLimJCcnAfDUU08THh7Bc889TVpaKtnZhzj//AsYOnQ4U6c+yaWXXk5mZgYJCRsoLi5i37693HLLHfzjH/18e4EiIlKjjpwq9/qgc2kdE+rrskREREREanfQ5N6WifvnjGo9p6VtFJY2kX/aJjw8nGnTZrJ8+XssXPgqQUFBDBt2HwBt27Zn9OhxvP/+v1m8+A1uvPEW2rRpR//+kygoKOS66/7B0KHDK50vPz+PmTPnsmfPbsaMGaWgSUTEj2mqnIiIiIiczvSbqQ/s3bsHh8PBuHGTANi+/RceffRBoqKi6Ny5CwDt2rVn/fq1hIWF8euv29i8+QfsdjtOp+uo8511VjwA9erVx+l0nroLERGRU0pT5URERETkdFergyZLm8i/HH1UE3bu/J0PPvg/pk9/gcDAQJo0iSUkJASz2cxvv/1KvXr12br1R5o1a86qVSsJCQnl8ccnkpyczIoVH2AYRqXz6Y8MERH/pqlyIiIiInKmqNVBk6/06nUJSUmJDBs2GLs9GI/H4L77HmTZsndYtWol7733DkFBQUyc+C8yMjJ48slxbN26haCgIBo3bkJ6epqvL0FERE6R7MNT5dZrqpyIiIiInAFMxpHDY/yIy+UmO7ug0raUlGRiYuJ8VNGfGzlyGKNHjyMurulR+ywWM26359QX5WOnc38JhIfbj/oZkzOb+vT0snV/DuNW/kpGvpNRFzfnn+ee2FQ59af/UZ/KkfQ94V/Un/5Hfepf/p+9Ow9ssj78OP5J0vS+aaEUWq623DfCxArqVHQqQwU2mNe8BhMnbgqIIurmgQ7mdEPdrh8JdQAAIABJREFU78d+OhQQxQMV54EKogyVU8rRlrNQeh80aZu0yfP7g1lFoRZo+jTp+/XP8OmT5JN8Qxc++X6/D+P5rcTEk8+u5ytRAABaGcMwtGTjYT3NUjkAAAD4GYqmVuRvf/uH2REAAK3Alwcr9OSavTovrZ3uH9OTpXIAAADwG3xyBQCglXl5c75iw+z602W9FRJkNTsOAAAA0GR8egUAoBXJr6zVp3tKdeWAJEomAAAA+B0+wQIA0Iq8uiVfVot01YCOZkcBAAAAThlFEwAArURtnUdvbi/Q6LQEJUWHmh0HAAAAOGUUTSZZvPh53XHHb3Xnnbfp97+fpl27djZ6/jvvrNS6dWskSStWvHxGj71o0XN6441Xz+g+5s69R5s2fXVG9wEAON57u4p0tLZeEwcnmx0FAAAAOC1sBm6Cffv26rPP1uqZZxbJYrEoJ2e3/vSnB/TCC0tPepvLLhsrj8crSXrhhX/q6qt/0TJhAQAtwjAMLd+crx4J4RrSOcbsOAAAAMBpoWgyQVxcvAoLC/TOO29qxIiRSk/vqRkz7tWMGdP1+ONP6oMP/q0XX3xBL7ywVFu3btG///2O2rdPVFxcvCorK3X0aKX+/OfH1KNHmlavfl+SdPjwIZ111gjNmHGvnnjiER06lCev16tbbpmqIUOG6dprJyolpYvsdrtSU7tIkjwej5544hEVFRWqsrJSP/nJSN1yy1Q9/PADstvtKig4otLSEs2e/YB69uylFSuW6+2331C7dgkqLy838yUEgICz9fBRZRc7dc9F6bJYLGbHAQAAAE5Lmy6adu3K0s6d25v1Pnv37qdevfo2ek5sbKwee2yBVqx4Wf/85/8oNDRUt976WxUUHJHL5dKGDetlsVhUVlaqzz5bo9Gjz2/Ief31N2nFiuW6665ZkqQrrxyvXbt26Mkn/6xp0+7UW2+9oZiYWN1zz/2qrKzQbbfdqhdfXK6amhrdcMNNysjopUWLnpMkFRUVqm/f/po1a45cLpeuuupnuuWWqZKkpKSOmjHjXq1c+bpWrnxNU6f+Tq+8skz/+tcyWa1W3XTTNc36ugFAW/fy5nxFhQTp0t7tzY4CAAAAnLY2XTSZ5dChPEVERGj27LmSpF27duiuu+7QyJGZ2rx5o4qKCnXxxZfoq6++0JYtm3XrrbedtBA7cGC/Hn/8Ec2bt0DR0dHasydX27Zt1o4dx873eOpVWVkhSUpN7XrcbaOjo7VzZ5Y2bfpKERERcrvrGn6Wnt5TktS+fQd9/fVWHTiwX926dVdwcLAkqXfvxss0AEDTFVW59HFuiX4xOFlhdpvZcQAAAIDT1qaLpl69+v7o7CNf2LMnR6+//qrmzfuLQkJClJKSqsjISF166eVatOg5paf31PDhZ+uJJx5RSkqKgoKOHybDMCRJBQUFeuCB2Zo792ElJh77BrxLl65q3769rrvuRrlctXrhhX8qKipakn6wFGPVqrcVGRmlGTPu1aFDeVq58vWG+/7+ucnJnbR//165XLUKCrIrO3u3Lr74Up+8PgDQ1ry27Yi8XkMTBrEJOAAAAPxbmy6azDJ69AXav3+fbr31BoWHh8nrNfTb396hQYOGKC/vgH71q+uUlpaugoIjmjz5uh/cvmvXbnrooTmqqjqqmppaLVgwT16vVx06JGnmzPs0b96fNG3arXI6HbryygmyWk98ccGhQ8/SAw/M1rZtWxQaGqrOnVNUUlJ8wnPj4uJ0881TNGXKjYqNjVNYWFizviYA0Fa56716fdsRndM9Xp1j+d0KAAAA/2YxvpnCEoDq6jyqqKg+7lhBwQElJXUxKdHps9msDVeda0v8dbzaitjY8B/8HYN/Y0xb3rs7C3X/qt166up+OrtrfLPeN+MZeBhTfB/vicDCeAYexjSwMJ7fSkyMOunPTjzVBQAAtIhXNucrNS5MI7rEmR0FAAAAOGMUTQAAmGRHQZW+PlKlCYOSZf3e3ngAAACAP6JoAgDAJMs3H1aY3arL+3YwOwoAAADQLCiaAAAwQXm1W+/vLtZlfTooMoRrcwAAACAwUDQBAGCCN74uUJ3H0MTBncyOAgAAADQbiiYAAFpYvdfQq1vydVZqrLq1Czc7DgAAANBsmKtvgk2bvtKbb67Qgw8+2nDsmWeeVpcuXWWxWPTuu2/LarXKMKRf/eo6DR/+ExPTAgCa29rcEhU53Jrx0zSzowAAAADNiqKpFXE4HFqx4mW9+OIrstvtKikp1i23XK8VK96WzcbkMwAIFMu35KtjdIgyu7czOwoAAADQrGgvWpHw8DB5PB69/vqrOnz4kBISEvXyy2/IamWYACBQ5BY7tTGvUuMHJstmtZgdBwAAAGhWbXpGU3n5Wyorf6NZ7zM+bpzi4q44rdvabEF68smFWr58if7wh9tVV1ena665QVdeOb5ZMwIAzLN8y2GFBFk1tn+S2VEAAACAZtemiyazhISEyu2uO+5YTU21JMnlcun3v58pSTp48ID+8IffacCAQcrIyGjxnACA5nW0tk7v7ijSmF6Jig2zmx0HAAAAaHZtumiKi7vitGcfnYmuXbsqJ2e3SkpKlJCQIJfLpa1bN+uSSy7TQw/dp6ef/oeio6OVlNRRsbExstvb9DABQMB4a3uhauu9mjiok9lRAAAAAJ+gwTBBRESkbr/9Ts2YcYdCQkJVX1+nq6/+hfr06afx43+pO+6YotDQUNXXe3T55eOUmtrV7MgAgDPkNQy9siVfA5Oj1bNDpNlxAAAAAJ+gaDLJ6NEXaPToC35w/IorxumKK8aZkAgA4Euf7yvT4cpa/Tazq9lRAAAAAJ/hcmYAALSA5ZvzlRARrAvSE8yOAgAAAPgMRRMAAD52oKxa6/eX66qBHRVk4/96AQAAELj4tAsAgI+9siVfQVaLrhzQ0ewoAAAAgE9RNAEA4ENOd73ezirUTzMSlBARbHYcAAAAwKcomgAA8KFVO4rkdHv0i8GdzI4CAAAA+BxFEwAAPmIYhl7ZnK/eHSLVr2OU2XEAAAAAn6NoamGbNn2luXPvOe7YM888rVWr3jrpbRYvfl5ZWdvlcrn01ltvNPmx5s69R5s2fXXcsUWLntMbb7za8N9PP71A99zzB7ndbs2efXeT7/tEDhzYr2nTbj2j+wCAQPLlwQrtK6vWxMHJslgsZscBAAAAfI6iyQ9ce+0N6tu3n8rKSk+paGqMYRj6y18eV3l5uf74x3kKDg7WI4880Sz3DQA45pUt+YoNs+uinu3NjgIAAAC0iCCzA+BbmzZ9pZde+pfs9iAdOZKvCy64SNdff5MefvgBXXTRGH388Wrt379P//d//6MJEybpscceUmVlpSRp+vS71aNHmlasWK63335D7dolqLy8/ISPYxjSn//8qOrr63XffQ/Kaj3WN44dO0YrV76nadNuVXp6T+3du0fV1Q798Y/zlJTUUc8//79au/ZjxcbGqba2VjffPEWpqV310EP3yTAMxce3a3iML7/8j/7xj2cUEhKi6OgY3XPP/crJ2a0XX3xedrtdRUWF+vnPr9amTV8pNzdbEyZM0pVXjvf9iwwALeTI0Vqt3VOq685KUUgQ3+sAAACgbfBZ0fTcc8/po48+Ul1dnSZNmqThw4dr1qxZslgsSk9P19y5c2W1WrV8+XItW7ZMQUFBmjp1qs4//3zV1tbq7rvvVmlpqSIiIjRv3jzFx8dry5Ytevjhh2Wz2ZSZmalp06adUcaV5VV6vfxoMz3jY66Mi9bYuFPfh+ObJRWFhUf0/PNLVVdXp3HjLtH119/UcM51192oPXty9etf36KFC5/S0KHDdeWV45WXd1CPPPKgnnjir3rllWX617+WyWq16qabrjnhYy1e/H9KSekim8120qUcvXv31R13/EHPPfd3ffDBe/rJT0bqP//5XP/zP/9SfX2drrvul5KkZcte1IUXjtHYsVdq9er39frrr8owDD3++CNauPB/lZjYXsuXL9ULLyzSyJGZKioq0vPPL9GuXTt1//2z9PLLb6i4uEizZ99N0QQgoLy6JV+SdPXAjiYnAQAAAFqOT75i3bBhgzZv3qylS5dq8eLFKigo0KOPPqrp06dryZIlMgxDq1evVnFxsRYvXqxly5Zp0aJFWrBggdxut5YuXaqMjAwtWbJE48aN08KFCyVJc+fO1fz587V06VJt3bpVWVlZvojvUyEhoXK76447VlNTreDgEElS9+5pCgoKUlhYmEJCQk96P3v35uqdd1Zq2rRbNW/en1RVVaUDB/arW7fuCg4OVlBQkHr37nvC22ZmjtJf/7pQ4eHheuGFRSc8JyOjpySpQ4cOcrtdOnBgn3r37iubzaaQkFD16tVbkrRv396Gx+nff6AkqaKiQuHhEUpMPLZUZNCgwdq3b+9/n18PBQUFKSoqSsnJnWS32xUVFS2329Wk1w8A/EFtnUdvfl2g0WkJSoo++e9yAAAAIND4ZEbTunXrlJGRodtuu00Oh0MzZszQ8uXLNXz4cEnSqFGj9Nlnn8lqtWrw4MEKDg5WcHCwUlNTtWvXLm3cuFE333xzw7kLFy6Uw+GQ2+1WamqqJCkzM1Pr169X374nLlOaYmxc1GnNPjoTXbt2VU7ObpWUlCghIUEul0tbt27WxImTVVRUqMb2irVYrDIMrySpS5euuvjiPrr44ktUXl6mt956Q8nJnbR//165XLUKCrIrO3u3Lr740h/cT/fuPSRJM2bcq5tuukYDBgzSkCHDvvdYxwfp1q2HVqx4WV6vV/X19crO3v3fHF2UlbVN6ekZ2rlzhyQpNjZW1dXOhue4ZcsmpaSk/vd+T+91AwB/8v6uYlXW1usXg5PNjgIAAAC0KJ8UTeXl5crPz9ezzz6rQ4cOaerUqTIMo6G8iIiIUFVVlRwOh6Kivi16IiIi5HA4jjv+3XMjIyOPOzcvL6/RHDabRbGx4ccdKyy0yGYzb6+M6Oho3XHH7zVjxnSFhoaqrq5OEyb8Ul26dFFpabEsluPz2WzWhtctIaGd6uvr9eyzT+vXv75ZjzzykN5663U5nU7dfPNvlJDQTrfeOlVTptykuLg4hYeHyWazHnd/VqtFFsuxY3FxsZoz50HNnXuvnn/+peMez2q1/PfPVlmtFmVkZGjkyEz95je/VmxsrOx2u4KDg/Wb39ymOXNmafXqD5ScfOyqSkFBNs2aNUf33Xe3LBaroqKiNGfOg9q7d0/D8zuWw/KdfCceF4vlh2OI1sNmszI+AYYxbR6rdhUpvX2kLujX0dSrzTGegYcxxffxnggsjGfgYUwDC+PZNBbDMIzmvtM///nPio+P14033ihJGjt2rA4cOKCtW7dKkj788EN9/vnnOuecc/Tpp5/qgQcekCTddtttmjJlip577jndeuutGjBggKqqqjRp0iQtW7ZMEydO1KpVqyRJL7zwgurr63XTTTedMIMk1dV5VFFRfdyxgoIDSkrq0txP2edsNqs8Hq9pj19eXqaPP16tq66aILfbrWuvnai//vVZJSUl+fRx/XW82orY2PAf/B2Df2NMz5zHa2j005/pqgEd9fvze5iahfEMPIwpvo/3RGBhPAMPYxpYGM9vJSaefHWYT6b2DB06VJ9++qkMw1BhYaFqamp09tlna8OGDZKktWvXatiwYRowYIA2btwol8ulqqoq7dmzRxkZGRoyZIjWrFnTcO7QoUMVGRkpu92ugwcPyjAMrVu3TsOGDWssBppRTEysdu3aoZtvvk633XazLr98nM9LJgDwR4cqauSq9yo9McLsKAAAAECL88nSufPPP19ffvmlxo8fL8MwdP/996tz586aM2eOFixYoO7du2vMmDGy2Wy69tprNXnyZBmGoTvvvFMhISGaNGmSZs6cqUmTJslut2v+/PmSpAcffFB33XWXPB6PMjMzNXDgQF/ExwlYrVbNnj3X7BgA0OrlljgliaIJAAAAbZJPls61Fiyd83/+Ol5tBVNHAw9jeuae+Wy/XthwUGt+l6mQIPP2BJQYz0DEmOL7eE8EFsYz8DCmgaMgt1JVBbWqra378ZNPIshuVdqIDrKH2poxmTkaWzrnkxlNrd13NyZH6xXAHSiAAJZb7FRqfLjpJRMAAACah7umXuuX7VGd23NGV1IPCrYpuVecYkLDmi9cK9TmiqagoGA5nUcVERFN2dSKGYYhp/OogoKCzY4CAKckt9ihfh2jzY4BAACAZpKzvlB1Lo+unjlUtki+TPwxba5oiotLVHl5sRyOCrOjnBKLxdLmZvgEBQUrLi7R7BgA0GQOV73yj7o0bgD7MwEAAAQCd229stcXqlPvWLXrHMlSyCZoc0WTzRakhISOZsc4ZaztBYDWL7f42EbgGYmRJicBAABAc8j9T5Hqaj3qc16y2VH8BnO+AABoJtn/LZrSuOIcAACA36tzeZT9eYE69oxRXDKf75qKogkAgGaSW+JQdGiQ2keyvxwAAIC/y91QJHeNR32ZzXRKKJoAAGgmucVOpSdGcLEJAAAAP1fn8ij7swIlpccovjPbIpwKiiYAAJqB1zCUW+JUWgLTqgEAAPzdni+L5KquZ2+m00DRBABAMzhcUauaOq/S2Z8JAADAr9W7Pdq9rkAdekQrIZXZTKeKogkAgGaQU3JsI/B0rjgHAADg1/Z8VSyXs159zmc20+mgaAIAoBnkFDlktUjd24WbHQUAAACnqb7Oq92fFqh9tygldokyO45fomgCAKAZ5JY4lRoXplC7zewoAAAAOE37Nhar1lHHbKYzQNEEAEAzyCl2Ki2BZXMAAAD+ylPn1a61R5TYNUrtu0WbHcdvUTQBAHCGHK56Ha6sZSNwAAAAP7Zvc4lqquq40twZomgCAOAM7WnYCJyiCQAAwB956o/NZmqXGqn23dmb6UxQNAEAcIZyiimaAAAA/Nn+zSWqrnSr73nJslgsZsfxaxRNAACcodwSp6JCgtQhKsTsKAAAADhFXo9XO9ceUXznCHVIY2+mM0XRBADAGcopdiotMYJvvwAAAPzQ/i2lqq5wq+/5zGZqDhRNAACcAa9hKLfYqfQEls0BAAD4G6/H0M41RxSXHK6k9Biz4wQEiiYAAM5AfmWtqus8SmN/JgAAAL9zcFupnOUu9WFvpmZD0QQAwBnI/e9G4BkUTQAAAH7F6zG0Y02+YpPCldwr1uw4AYOiCQCAM5BT7JRFUneWzgEAAPiVvO1lcpS61Ie9mZoVRRMAAGcgp8SplLgwhdltZkcBAABAE3m9hnZ8kq+YDmHqxGymZkXRBADAGcgtdiidZXMAAAB+5VBWmapKao/tzWRlNlNzomgCAOA0Vbs9OlRRqzSWzQEAAPgNw2toxydHFJ0Yqs594syOE3AomgAAOE17SpwyJKUnRpodBQAAAE10eGe5jhbVMJvJRyiaAAA4TTklx644x9I5AAAA/2B4DWV9nK+ohFB17hdvdpyARNEEAMBpyilyKCLYpo7RIWZHAQAAQBPk76pQZWGN+ozuKCuzmXyCogkAgNOUW+JUemIEl8MFAADwA4ZhKOuTfEXGhyilfzuz4wQsiiYAAE6DYRjKKXayETgAAICfOJJdqYoj1eo9OllWG18U+gpFEwAAp+HIUZecbg/7MwEAAPgBwzC04+N8RcSFqMtA9mbyJYomAABOQ07xNxuBc8U5AACA1q4gp1Jlh53qPbqjrDaqEF/i1QUA4DTkFDskST1YOgcAANCqGcaxK82Fxwary0D2ZvI1iiYAAE5DbolTnWNDFR5sMzsKAAAAGlG096jKDjnVe1RH2YKoQXyNVxgAgNOQU+xk2RwAAIAfyF5fqNDIIHUdnGB2lDaBogkAgFNUU+dRXnmN0lk2BwAA0Ko5yl06kl2p7sPaM5uphfAqAwBwivaWOGVISuOKcwAAAK3ani+KZLFI3c9KNDtKm0HRBADAKfr2inMUTQAAAK1VfZ1X+zYWq1OvOIVHB5sdp82gaAIA4BTlFDsVbrcpOSbU7CgAAAA4ibyvy+Su8ShtRHuzo7QpFE0AAJyinBKn0hIjZLVYzI4CAACAk8j9olDRiaFK7BZldpQ2haIJAIBTYBiGcoudLJsDAABoxUoPOVR+uFo9RrSXhS8HWxRFEwAAp6CwyqUqV73SuOIcAABAq5W7oUhBwVZ1HZhgdpQ2h6IJAIBTwEbgAAAArZvLWae87WXqMihB9lCb2XHaHIomAABOwTdFUw9mNAEAALRKezeWyFtvKG04m4CbgaIJAIBTkFPsVHJMqCJDgsyOAgAAgO/xeg3t+bJIid2iFNMhzOw4bRJFEwAApyC3xKEMls0BAAC0SgXZlaqucDObyUQUTQAANFFtnUcHy2vYCBwAAKCVyt1QqLAouzr1jjU7SptF0QQAQBPtLa2W12AjcAAAgNaoqrRWBblH1f2sRFlt1B1m4ZUHAKCJchuuOBdpchIAAAB8354vimSxWtR9WKLZUdo0iiYAAJoou9ih0CCrOsWGmh0FAAAA31Hv9mjfphJ17hOnsKhgs+O0aRRNAAA0UW6JU2mJEbJaLGZHAQAAwHcc3FamulqP0kawCbjZKJoAAGgCwzCUW+xkfyYAAIBWxjAM5W4oUkyHMCV0YYsDswX56o7HjRunqKgoSVLnzp01ZcoUzZo1SxaLRenp6Zo7d66sVquWL1+uZcuWKSgoSFOnTtX555+v2tpa3X333SotLVVERITmzZun+Ph4bdmyRQ8//LBsNpsyMzM1bdo0X8UHAOA4RQ63KmvrlZbAhxcAAIDWpDTPoYqCag0d20UWZp6bzidFk8vlkiQtXry44diUKVM0ffp0jRgxQvfff79Wr16tQYMGafHixVqxYoVcLpcmT56sc845R0uXLlVGRoZuv/12vfPOO1q4cKHuu+8+zZ07V08//bRSUlJ06623KisrS3379vXFUwAA4DjfbASewYwmAACAViV3Q5HsITalDmhndhTIR0vndu3apZqaGt1444267rrrtGXLFmVlZWn48OGSpFGjRunzzz/Xtm3bNHjwYAUHBysqKkqpqanatWuXNm7cqHPPPbfh3PXr18vhcMjtdis1NVUWi0WZmZlav369L+IDAPAD2cUOSVIaRRMAAECrUeuo06GscnUd3E72EJvZcSAfzWgKDQ3VTTfdpAkTJmj//v265ZZbZBhGwxS2iIgIVVVVyeFwNCyv++a4w+E47vh3z42MjDzu3Ly8PF/EBwDgB3KLneoYHaLIEJ+tOgcAAMAp2vtVsbweQz2Gswl4a+GTT8vdunVTly7H1kZ269ZNsbGxysrKavi50+lUdHS0IiMj5XQ6jzseFRV13PHGzo2Ojm40h81mUWxseDM/O3PYbNaAeS4IHLwvAw9jenJ7y2rUJznGr14fxjPwMKb4Pt4TgYXxDDyMqW95PYb2bSxRp56xSk33/bI5xrNpfFI0vfrqq8rOztYDDzygwsJCORwOnXPOOdqwYYNGjBihtWvX6ic/+YkGDBigJ598Ui6XS263W3v27FFGRoaGDBmiNWvWaMCAAVq7dq2GDh2qyMhI2e12HTx4UCkpKVq3bt2Pbgbu8RiqqKj2xVNscbGx4QHzXBA4eF8GHsb0xFz1Xu0rcWhUj3i/en0Yz8DDmOL7eE8EFsYz8DCmvnVoR7mcFS4NujSlRV5nxvNbiYlRJ/2ZT4qm8ePH65577tGkSZNksVj0yCOPKC4uTnPmzNGCBQvUvXt3jRkzRjabTddee60mT54swzB05513KiQkRJMmTdLMmTM1adIk2e12zZ8/X5L04IMP6q677pLH41FmZqYGDhzoi/gAABxnX6lTHkNKT2B/JgAAgNYid0ORwmOC1bFnrNlR8B0WwzAMs0P4Sl2dJ2DaRppTtEa8LwMPY3pib20v0EPvZevVXw9Tl3j/mS7NeAYexhTfx3sisDCegYcx9Z2jxTX691Pb1e/CTuozOrlFHpPx/FZjM5p8ctU5AAACSU6xUyFBVnWODTM7CgAAACTlflEkq82i7kMTzY6C76FoAgDgR+SUONUjIUI2q8XsKAAAAG1encujA5tL1blvnEIj7WbHwfdQNAEA0AjDMJRT5FB6IvszAQAAtAYHtpaqzuVR2ogOZkfBCVA0AQDQiBKnW5W19WwEDgAA0AoYhqE9G4oU2zFc7VL4fNYaUTQBANCInGKnJCmNGU0AAACmKzngUGVRjdJGtJfFwrYGrRFFEwAAjcj9b9HE0jkAAADz5W4oVHCYTan9482OgpOgaAIAoBHZxQ51iApRdCgbTQIAAJippsqtQzsq1HVwgoKCbWbHwUlQNAEA0IjcEiezmQAAAFqBvV8Wy/Aa6jG8vdlR0AiKJgAATsJd79X+shqKJgAAAJN5PV7t+apYSekximoXanYcNIKiCQCAk9hXVi2P11AaV5wDAAAw1eGdFaqtqlPaCGYztXYUTQAAnMQ3G4FnJEaanAQAAKBty91QpIjYYCWlx5gdBT+CogkAgJPILnYoJMiqznFhZkcBAABosyoLq1W8v0o9hreX1WoxOw5+BEUTAAAnkVvsVPd24QriAw0AAIBpcr8okjXIom5DEsyOgiagaAIA4CS44hwAAIC53DX1OrClVKn94xUSYTc7DpqAogkAgBMocbpVVl2nNPZnAgAAMM2eL4tV7/Yq/ScdzI6CJqJoAgDgBHKLHZKkdK44BwAAYApPvVc5/ylUhx7RikvmM5m/oGgCAOAEcv57xbk0ls4BAACY4uC2UtVW1alnZpLZUXAKghr74a9//WtZLCfeAPWf//ynTwIBANAa5BQ71T4yWLFh7AUAAADQ0gyvod3rChSbFKYOPaLNjoNT0GjRNHv2bEnSwoULdcEFF2jIkCHatm2b1q5d2yLhAAAwS26Jk9lMAAAAJjmSU6mjxbUacXW3k06AQevUaNGUnp4uSSovL9cVV1whSerUqZOWLVvm+2QAAJikzuPVvtJqjewWb3aMBShcAAAgAElEQVQUAACANmn3ugKFxwQrpT+fx/xNo0XTN7xer15//XUNGDBAmzZtUnBwsK9zAQBgmv1l1ar3GmwEDgAAYILSQw4V76/SwEtTZLWxtbS/adKIPfHEE9q5c6ceeeQR7d69W3/5y198nQsAANN8sxF4enuKJgAAgJa2e12B7KE2dR+aaHYUnIYmzWjq0KGDfvrTnyojI0MDBw5kRhMAIKDlFDtlt1mUGhdudhQAAIA2paq0Vod2lKtXZpLsITaz4+A0NKloevLJJ5WXl6d9+/bJYrHo2Wef1fz5832dDQAAU+QWO9W9XYSCrGw8CQAA0JKyPy+Q1WpR+tkdzI6C09SkpXNffvml5s+fr4iICF199dXKy8vzdS4AAEyTU+JUOlecAwAAaFG1zjrt31SiLoPaKSyKlVT+qklFk8fjkdvtlsVikcfjkdXKZlwAgMBUVu1WqdNN0QQAANDCcjcUyVNvqOfIJLOj4Aw0aenctddeq6uvvlqlpaX6xS9+oWuuucbXuQAAaHG1dR79Z3+5JCmNK84BAAC0mHq3R7kbipTcM1bR7cPMjoMz0KSi6bLLLtPZZ5+tAwcOqEuXLoqPj/d1LgAAmp1hGKqsrdfhihodqqjV4cpaHaqo0aHKWh2uqFGRwy1JslktymgfaXJaAACAtmPf5hK5q+vVM5PZTP6uSUXTmjVr9Nprr8nlcjUce/bZZ30WCgCA0+XxGipyuHSookaHK2obSqRDFbU6VFkjh8tz3PkJEcHqFBOqs1Jj1Sk2TJ1jQ9WzfaRiw+wmPQMAAIC2xes1lP1ZoeI7RyihC1/2+bsmFU2PPPKI5s6dq+joaF/nAQDgtK3JLdGf3s9RRU1dw7Egq0XJMaHqFBOqfh2j1Pm/ZVKn2DB1jglVqJ3L5gIAAJjp8I5yOctdGjimsywWrvrr75pUNKWlpWnkyJG+zgIAwGlx13v19Kf7tGzTYfVqH6mpmV3VOSZUnWPD1CEqRDYrH1gAAABaI8MwtHtdgSLjQ5TcO87sOGgGTSqaLrzwQk2ePFk9evRoOPbHP/7RZ6EAAGiqvPIazX57p3YVOfTLIZ10+7ndFBzE1VEBAAD8QfH+KpUddmrIFV1k5cvBgNCkomnx4sW64YYbWDoHAGhV3t9VpEc+yJHNatETY/vovPQEsyMBAADgFOxeV6CQiCB1HcznuEDRpKIpISFBY8eO9XUWAACapLbOowWf7NHr2wrUv2O0Hrm8l5KiQ82OBQAAgFNQWVijI9mV6ntBJwXZmZEeKJpUNIWFhek3v/mNevfu3bAx1x133OHTYAAAnMi+0mrNfnunckucun54iqaM7KIgGx9MAAAA/M3uzwpks1uVNqK92VHQjJpUNJ1zzjns/A4AMN3bWQWa92Guwuw2/fWqfhrZLd7sSAAAADgN1UfdOritVN2HJSokvEnVBPxEk0bzvffe06JFi3ydBQCAE6p2ezRvdY5W7SjSsJQYPfSzXkqMDDE7FgAAAE5TzvpCGV5DGeckmR0FzaxJRVN0dLTWrFmjrl27ymo9tjwhJSXFp8EAAJCk7CKHZr+9U3kVNbp1ZBfdOCJVNq5IAgAA4Lfqaj3a+2WxOveNU2QcXx4GmiYVTYWFhXruueca/ttiseill17yWSgAAAzD0GvbjmjBx3sUHWrXwgkDNDQl1uxYAAAAOEN7vipSncujnpkdzY4CH2hS0bRkyRJf5wAAoIHDVa+H38/Wh9klOrtrnB68tKfiwoPNjgUAAIAz5Kn3Kmd9odp3i1J8pwiz48AHGi2apk+frieffFKjR4/+wWbgn3zyiS9zAQDaqKyCKt379k4VHK3V7ed20zVndZaVC1IAAAAEhLyvy1RztE7Dft7V7CjwkUaLpqFDh0qSnn76afXt27dFAgEA2q5Xt+Rr/sd7lBARrH/8cpAGJEebHQkAAADNxDAM7V5XoJj2YUpKjzE7Dnyk0aJp+fLl6tq1q+bPn69Zs2bJMIyGn5199tk+DwcAaBsMw9Bznx/Qov8cVGb3eD14aU9Fh9rNjgUAAIBmVJBTqcqiGg2/qtsPVk0hcDRaNN1+++1atWqViouLtWLFiobjFouFogkA0Cw8XkNPfJSrFVuP6Of9kjTronQFcVU5AACAgLN7XYHCou1K6R9vdhT4UKNF08UXX6yLL75YH374oS688MKWygQAaCPqPF7NfXe3PthdrOvOStG0c7vy7RYAAEAAKjvsVNG+Kg0Y01m2IKvZceBDTbrqXHh4uKZMmSK3291w7J///KfPQgEAAl9NnUcz3tyh/xwo1+9GddO1Z6WYHQkAAAA+snvdEdlDbOoxrL3ZUeBjTSqaHn30Ud19993q2LGjr/MAANqAypo63fn6dmUVVGnOmAyN7ZdkdiQAAAD4iKOsVoeyypVxTpLsoTaz48DHmlQ0JSUladSoUb7OAgBoA4qqXLp9xdc6VFGjeVf00XnpCWZHAgAAgA9lf14oi9Wi9LM7mB0FLaBJRVNCQoIeeugh9e7du2HvjPHjx/s0GAAg8Bwsr9G0V7fpaG29/npVfw1LjTU7EgAAAHzI5azTvk0lSh3QTuHRwWbHQQtoUtHUocOx1vHw4cM+DQMACFy7Cx26fcXXkqRnJw5Qrw5RJicCAACAr+V+USRPnVc9z2GrhLaiSUXT9OnT9emnnyo3N1fdunXTeeed5+NYAIBAsjGvQn94I0tRIUH62/j+6hIfbnYkAAAA+Ji7pl7ZnxeqY88YxXQIMzsOWkiTrin4l7/8RcuWLZPX69XLL7+sxx9/3Ne5AAABYk1uiX634mu1jwrR/04aRMkEAADQRmR/Xqi6Wo/6XdDJ7ChoQU2a0bRhwwYtW7ZMknTjjTdqwoQJPg0FAAgMK7cX6OH3s9UnKUp/ubKfYsPsZkcCAABAC3A565S9vkCd+8QpLjnC7DhoQU2a0VRfXy/DML69kfXHb1ZaWqrRo0drz549OnDggCZNmqTJkydr7ty58nq9kqTly5frqquu0sSJE/Xxxx9Lkmpra3X77bdr8uTJuuWWW1RWViZJ2rJliyZMmKBf/vKX+tvf/nbKTxQA0LIWf5mnP76XrbNSY/X38QMomQAAANqQXesKVO/2qi+zmdqcJhVNY8aM0eTJkzVv3jz96le/0iWXXNLo+XV1dbr//vsVGhoqSXr00Uc1ffp0LVmyRIZhaPXq1SouLtbixYu1bNkyLVq0SAsWLJDb7dbSpUuVkZGhJUuWaNy4cVq4cKEkae7cuZo/f76WLl2qrVu3Kisr6wyfOgDAFwzD0NNr9+mptft0YUaiFozrp/Bgm9mxAAAA0EJqquqUu6FIqf3j2ZupDWrS0rlbbrlFmZmZ2rt3r8aOHavevXs3ev68efP0y1/+Uv/4xz8kSVlZWRo+fLgkadSoUfrss89ktVo1ePBgBQcHKzg4WKmpqdq1a5c2btyom2++ueHchQsXyuFwyO12KzU1VZKUmZmp9evXq2/fvqf9xAEAza/ea+ixD3L05vYCXT2wo+6+IE02q8XsWAAAAGhBu9bmy+thNlNb1WjRVF9fr7///e+aMmWKevfuraKiIv373/9WRkaGbLYTfzv92muvKT4+Xueee25D0WQYhiyWY//QiIiIUFVVlRwOh6Kivr20dUREhBwOx3HHv3tuZGTkcefm5eX96JOz2SyKjQ2MTWdtNmvAPBcEDt6XgedMxtRV79XvX9mq93cU6rbzeuiOC9IafvfDHPwdDTyMKb6P90RgYTwDT1scU0d5rfZ8VayMEUlK6RFvdpxm1RbH83Q0WjQ99thjktTwD4X+/fvrk08+0WOPPaZ77733hLdZsWKFLBaL1q9fr507d2rmzJkN+yxJktPpVHR0tCIjI+V0Oo87HhUVddzxxs6Njo7+0Sfn8RiqqKj+0fP8QWxseMA8FwQO3peB53TH1OM1NPvtnfoop0S/P7+HJg3ppMrKGh8kxKng72jgYUzxfbwnAgvjGXja4ph+9dZ+yZDSRrYPuOfeFsfzZBITo076s0b3aNq2bZvuu+8+BQcHS5Li4+M1Z84cbd68+aS3eemll/Tiiy9q8eLF6t27t+bNm6dRo0Zpw4YNkqS1a9dq2LBhGjBggDZu3CiXy6Wqqirt2bNHGRkZGjJkiNasWdNw7tChQxUZGSm73a6DBw/KMAytW7dOw4YNO+UXAgDQ/AzD0BMf5eqjnBLdeV53TRrCFGkAAIC2yFFWq30bS9R9WKIiYkPMjgOTNDqj6ZvNvL/LarUqPPzUporNnDlTc+bM0YIFC9S9e3eNGTNGNptN1157rSZPnizDMHTnnXcqJCREkyZN0syZMzVp0iTZ7XbNnz9fkvTggw/qrrvuksfjUWZmpgYOHHhKGQAAvvG/6w9qxdYjuu6sFE0e2tnsOAAAADDJjk/yZbVKvUd1NDsKTNRo0RQbG6usrKzjNt3esWOHQkKa1kwuXry44c8vvvjiD34+ceJETZw48bhjYWFheuqpp35w7qBBg7R8+fImPS4AoGWs2Jqvf6w/oMv7dtC0c7uaHQcAAAAmOVpcowNbSpV+dgeFRQebHQcmarRouueee/Tb3/5WKSkpSklJ0ZEjR7R//3799a9/bal8AIBWanV2seZ9mKvM7vG69+IMNv4GAABow7I+ypfNblWvc5nN1NY1WjR17NhRr776qr744gsVFRXp/PPP1+DBgxuuOFdQUKCkpKQWCQoAaD2+OlihOat2qX9ytB69vLeCrJRMAAAAbVVFQbXytpep96iOCo20mx0HJmu0aJIkm82ms88++4Q/mzFjhv71r381eygAQOu1u9Chu97MUkpsmBaM66tQu83sSAAAADBR1keHZQ+1qWcmE1HwI1ed+zGGYTRXDgCAHzhUUaPfvfa1IkOC9NTV/RUTxjdWAAAAbVnZYacO76xQxsgkBYf96FwWtAFn9C5gPw4AaDtKnW5Ne/VrebyGnpvYXx2iuGQtAABAW7d99WEFhwcp4+wOZkdBK3FGM5oAAG2Dw1WvO17brlKnW09e1U9d24WbHQkAAAAmKz5QpYKcSvXKTJI9lO0UcMwZzWhi6RwABD5XvVd3v5ml3BKnFozrq34do82OBAAAgFZg++rDCo0MUtqI9mZHQStyRjOahg8f3lw5AACtkMdr6P5Vu/RVXqXmXpKhkd3izY4EAACAVqBw71EV76tSr1HJCgpmNhO+1eiMpsmTJ/9gHybDMGSxWPTSSy/p9ttv92k4AIB5DMPQEx/l6qOcEt15Xndd2pt19wAAADj2OXH7h4cUFm1Xj2GJZsdBK9No0fTYY4+1VA4AQCvzv+sPasXWI7rurM6aPLSz2XEAAADQShTkVKo0z6mhY7vIZmfrZxyv0aIpNTVVkpSXl6f33ntP9fX1MgxDRUVFmjt3bosEBAC0vBVb8/WP9Qd0ed8OmnZuN7PjAAAAoJUwDENff3hYEXEh6jYkwew4aIWaVD3efffdcrlc2rBhg/bs2aOSkhJf5wIAmGR1drHmfZirzO7xuvfijB8soQYAAEDbdXhHuSqOVKvv+cmy2pjNhB9q0rsiNDRUt912m5KSkvTnP/9ZpaWlvs4FADDBf/aWas6qXeqfHK1HL++tICslEwAAAI7xeg1t/yhfUQmhSh3Yzuw4aKWaVDQZhqGysjJVV1ertrZWlZWVvs4FAGhhuwsdmrJkk1Jiw7RgXF+F2rl6CAAAAL51aHuZjhbVqO8FybLyhSROoklF09SpU7Vq1SpdfvnlOu+88zRy5Ehf5wIAtKA9JU797rWvFR1q11NX91dMmN3sSAAAAGhFvB5D2z86rJgOYUrpG292HLRijW4G/g2Xy6VrrrlGknTRRRfpvffe82koAEDLyS126revbJPNatHz1w9TPFcOAQAAwPcc2FoiR6lL50xOk4XZTGhEo0XTJ598oi1btmjlypX6+c9/Lknyer16//33NWbMmBYJCADwnewih377yjaFBFn1zMSB6p4YqYqKarNjAQAAoBXx1HuV9XG+4jqFK7lXrNlx0Mo1WjSlp6eruLhYwcHBSk5OliRZrVY98cQTLRIOAOA7uwsduu3VYyXTsxMHKiUuzOxIAAAAaIX2bSpRdYVbw8Z25YrE+FGNFk2dOnXShAkTNG7cOB08eFB79+5Vly5dlJGR0VL5AAA+sLOwSre98rUigm16ZuIAdY6lZAIAAMAP1dd5tfOTfCV0iVSHtGiz48APNGkjjuXLl2vGjBlav369Zs2apeeff97HsQAAvpJ15Kh++8o2RYXY9NwvBlIyAQAA4KT2flmkmqo69ftpJ2YzoUmatBn4ypUrtWzZMtntdrndbk2aNEk33HCDj6MBAJrb1/lHdfuKrxUbZtczEweoY3So2ZEAAADQStW5PNq59ojad49W+27MZkLTNGlGk2EYstuPXeo6ODi44c8AAP+x9XClbl/xteLD7XqWkgkAAAA/Yscn+XI569Xvp53MjgI/0qQZTYMGDdKdd96pYcOGaePGjRo4cKCvcwEAmtGWQ5W647XtSogM1jMTBqh9VIjZkQAAANCKlR12KvuzAnUflqiE1Eiz48CPNDqjafr06ZKk2bNn67LLLpPT6dTPfvYz3XPPPS0SDgBw5jbmVeh3r32t9lHBem4iJRMAAAAa56n36svX9yk00q4BYzqbHQd+ptEZTWVlZQ1/vvDCC30eBgDQvL46WKE7X9+ujjGhWjhhgBIigs2OBAAAgFZu16dHVFlYo8xfpSs4tEkLoYAGjb5j8vLytGDBghP+7Pe//71PAgEAmseGA+X6wxtZ6hx7rGSKD6dkAgAAQOMqC6u1c80RpfaPV3KvWLPjwA81WjSFhoaqW7duLZUFANBM/rO/THe9uUOpcWH6+/j+iqNkAgAAwI/weg19+cZ+2UNsGnRZqtlx4KcaLZoSEhJ05ZVXtlQWAEAz+GxfmWa8maWu8eH6+/gBig3nSqEAAAD4cTnrC1V2yKmfTOiu0Ag+Q+L0NFo09evXr6VyAACawad7SjXzrR3q0S5CfxvfXzFhfEAAAADAj6sqrdX21YeV3DNWKf3jzY4DP9boVedmzpzZUjkAAGdoTW6pZqzcobSECP19AiUTAAAAmsbwGvrqzf2yWi0aMraLLBaL2ZHgxxotmgAA/uGbmUy9OkTq7+MHKDqUkgkAAABNs3djsYr3VWngJSkKj2ZvT5wZrlMIAH5uf1m15qzapYzECD19dX9FhvCrHQAAAE1TXenS1vfy1L57lLoNTTA7DgIAM5oAwI9Vuz2asXKH7DarHh/bh5IJAAAATWYYhjauPCDDKw37eVeWzKFZUDQBgJ8yDEMPv5+tA2XVeviyXkqKDjU7EgAAAPzIwW1lOpJdqf4XdlJkPJ8l0TwomgDAT728OV/v7y7W1HO6aniXOLPjAAAAwI/UOuq0edVBtUuJUNpPOpgdBwGENRYA4Ie2Hq7Uk2v2anSPdrp+eIrZcQAAAOBnNr9zQPUuj84a101WK0vmfszRo2tUWrpJLledDBknOes7xw3jB8es1jAlJt6ooKAYn+VsDSiaAMDPlDrduuftnUqODtEDl/ZkLT0AAABOyeEd5crbXq5+P+2k6PZhZsdp9bzeOuUdul9eb7UslpCG4xb993P4cZ/HT/TnY/9rtYYpLv5KiiYAQOtR7zU0++2dOlpbr79OHsTm3wAAADgl7pp6bXzrgGKTwtTr3CSz4/gFh2O9PJ5K9e3znGy2EWbHafXYowkA/MjfP92nTYcqNfuidKUnRpodBwAAAH5m67/z5Kqu01lXdpPVRiXQFBUV78pmi1Fc3DlmR/ELvKsAwE98lF2sF786pPEDO+pnfdiwEQAAAKemILdS+zaVqOc5SYpLjjA7jl/wemtUefRjxcRcJKs12Ow4foGiCQD8wP6yaj30Xrb6dYzSnef1MDsOAAAA/Eydy6Ov3tyvqHah6nt+J7Pj+I3Ko5/IMGoVG3up2VH8BkUTALRy1W6PZqzcoWCbVY9d0UfBQfzqBgAAwKnZ/uEhVVe6NezKrrLZ+TzZVBUVq2S3JykifLDZUfwG7y4AaMUMw9DD72frQFm1Hr68lzpEhfz4jQAAAIDvKDlQpZwNRUob3l6JXaLMjuM36uvLVVW1XrExl8hioT5pKl4pAGjFXt6cr/d3F2vqOV11Vmqc2XEAAADgZzx1Xn35xn6FxwSr/0WdzY7jVyorP5RUz7K5U0TRBACt1NbDlXpyzV6N7tFO1w9PMTsOAAAA/FDWJ/mqKqnVsJ93lT3EZnYcv1JR8a5CQrorNDTD7Ch+haIJAFqhEqdbs97aqeToED1waU9ZLBazIwEAAMDPlOc7tXvdEXUdkqCktBiz4/gVt/uInNWbFBt7KZ/FTxFFEwC0MvVeQ/e+vVNVrnrNG9tHkSFBZkcCAACAn/HUefXl6/sUEm7XoEuYHX+qKir/LUksmzsNFE0A0Mr8/dN92nSoUrMvSld6YqTZcQAAAOCHNr1zQBUFNRo2rquCw/ji8lRVVLyr8LABCglmX6tTRdEEAK3IR9nFevGrQ5owKFk/69PB7DgAAADwQ3s3FmvfxhL1HtVRyT1jzY7jd2prc1Vbm63Y2J+ZHcUvUTQBQCuxv7RaD72Xrf4do3Tned3NjgMAAAA/VJ7v1Ka3D6hDj2j1/Wkns+P4pYqKdyXZFBNzkdlR/BJFEwC0AtVuj2as3KFgm1WPXtFHdhu/ngEAAHBqXNX1+nxprkIj7BoxobusVjaxPlWGYai84l1FRo6Q3d7O7Dh+iX/JAIDJDMPQn97P1oHyaj18eS91iAoxOxIAAAD8jOE19MWKvaqpqtPZv+ih0Ai72ZH8UnX1NtXV5SuOTcBPG0UTAJjs/zbk6YPdxZp6TledlRpndhwAAAD4oR1r8nUku1KDfpaqdilcUOZ0VVS+K4slRNHR55sdxW/5ZOt5j8ej++67T/v27ZPNZtOjjz4qwzA0a9YsWSwWpaena+7cubJarVq+fLmWLVumoKAgTZ06Veeff75qa2t19913q7S0VBEREZo3b57i4+O1ZcsWPfzww7LZbMrMzNS0adN8ER8AWsy7Owv1zGf7dWnv9rp+OJedBQAAwKk7klOprI/z1WVgO/U4K9HsOH7LMOpVUfGeoqNHyWajrDtdPpnR9PHHH0uSli1bpt/97nd69NFH9eijj2r69OlasmSJDMPQ6tWrVVxcrMWLF2vZsmVatGiRFixYILfbraVLlyojI0NLlizRuHHjtHDhQknS3LlzNX/+fC1dulRbt25VVlaWL+IDQIvYmFehh/6draEpMZozJkMWC2voAQAAcGqc5S5teGWPYtqHaejYLnymPAMOxxfyeMq52twZ8knRdOGFF+qPf/yjJCk/P18JCQnKysrS8OHDJUmjRo3S559/rm3btmnw4MEKDg5WVFSUUlNTtWvXLm3cuFHnnntuw7nr16+Xw+GQ2+1WamqqLBaLMjMztX79el/EBwCf21darbvf3KGU2DA9PpbNvwEAAHDqPHVefb4sV4YhjZyUpqBgm9mR/FpFxSrZrFGKijzH7Ch+zSdL5yQpKChIM2fO1AcffKCnnnpKH3/8cUOzGhERoaqqKjkcDkVFRTXcJiIiQg6H47jj3z03MjLyuHPz8vIazWCzWRQbG+6DZ9fybDZrwDwXBA7el6enuMqlO9/YrhC7Vf+8YZg6x7We15AxDSyMZ+BhTPF9vCcCC+MZeHw9pmuXZqs8v1oX39pXKT3iffY4bYHHU6OjVR8rsf3PFB8fe8Jz+DvaND4rmiRp3rx5uuuuuzRx4kS5XK6G406nU9HR0YqMjJTT6TzueFRU1HHHGzs3Ojr6/9m77/iq6vuP46+7c3NvBgRCAiRAIOy9lSG4EPeoWmjtr9rWDrVuxQXVOqoVW2vr+NnWttqKs4pMFZQtAsoQmWGEkADZyU1y1znn94f9aR0gCUlucvN+Ph4+Hpice8773O+5N/d+zncc8/iGYVFRUdvIZxUbqamJcXMuEj90XdZfXcTgpy9tojQQ5pnLh+C30aKeQ7VpfFF7xh+1qXyVron4ovaMP03Zpns/Kmb76iL6TswkNUvXzomqqFiMYdSQ6D3zqM+lXqNf6Ngx6ai/a5KxGm+88QbPPPMMAF6vF5vNxsCBA1m7di0Ay5cvZ+TIkQwePJgNGzYQCoWorq4mLy+P3r17M3z4cJYtW/b5tiNGjMDv9+NyucjPz8eyLFauXMnIkSObIr6ISJMwTIu75m1jx5EAD57bj/4ZR39zFhERERE5mvLCGj56az/pOckMPK1LrOPEhYrKhTidHfH5hsc6SqvXJD2azjzzTO644w6+973vEY1GufPOO+nZsyf33HMPjz32GDk5OUyZMgWHw8EVV1zB9OnTsSyLG2+8EY/Hw7Rp07j99tuZNm0aLpeL2bNnA3Dvvfdyyy23YBgG48ePZ8iQIU0RX0Sk0VmWxez38lixp4zbTuvFhJ5psY4kIiIiIq1QuC7K6jl5uBOdjL0sB7tdk3+fqKhRRXX1StLSpmGzaZ6rE2WzLMuKdYimEokYcdOtTV30pCXSdXn8XlhfwOPL9vD9kV25/pScWMc5KrVpfFF7xh+1qXyVron4ovaMP43dppZpsfKfuzicV8XkH/UlLcv/7Q+Sb1Va9joHD95Hr17/ItHb/6jb6TX6hWYfOiciIl9YsrOYx5ft4fTeHbhuYo9YxxERERGRVurTZUUU7axk6NRsFZkaUUXFQjye7ngT+sU6Slxo0snARUTaus2FVcxauIPBnZP51dS+2G3q2iwiIiIi9XdoVyVb3ztItyFp9BzdMdZx4kYkcpiamvV0Sv8ZtmN8VreCUcL5VZjVoaNu863cduwdvQ1/fCuhQpOISBM5UF7HzW9spVOSh9kXDMDjVCdSEREREam/mooQH7ySR0q6lxHndztmQUTqp6JiMWCRmnrWUbexaiKEX0j9VOgAACAASURBVNhJOBA54eO5puVi7+w74f20ZCo0iYg0gYraCNe/vgWA3180kNREV4wTiYiIiEhrZERMVs/ZjWXCydN64XRrsurGVFGxEK93AB5Pt2/8vWWYRObug6BBymW9qTWiDT+Yy4EtM7Hhj28lVGgSEWlkwYjBzW9u5UggzJOXDiarXfx3jxURERGRpvHxgnzKD9YybnovktISYh0nrgSDe6kLbiMz85ajbhNdehCrsAbnud1IGNSBoCYD/1YaxyEi0ohMy+LeRTvYUljFfVP7MLhzcqwjiYiIiEgrtfejEvasL6bvhAy69GsX6zhxp6JyIWAnNWXKN/7e2FSCubkUx+h0HH30/B8vFZpERBrRE8v38u7OEn55Sg6n9tYkjSIiIiLSMOVFtXz01j7Sc5IYeFrXWMeJO5ZlUVGxEL9/FC7X1z+3mwUBoksLsPdIwjEuMwYJWy8VmkREGskrGwt5YX0Blw7tzPdGdIl1HBERERFppeqqw6z65y7ciU7GXtoTu0OTfze2urqthMMHSE2Z+rXfWVVhIm/tw5biwXl2N2x2Pf/1oUKTiEgjWJ5XyqNLdzMhpz03T+6plUBEREREpEGiYYNV/9xNqDbK+O/lkuDXojJNoaJiITabm5SU0770cytiEpm7F6Imzgt6YEvQ1Nb1pUKTiMgJ+vRQNXfN20afdD8PnNsPh+54iIiIiEgDWKbFh6/vpaywhrGX5tCusy/WkeKSZRlUVC4mKWkCDkfSf/3cIvrOAazDdTindsOuydcbRIUmEZETUF4b5pY3t9Iu0cVjFw3E69JysyIiIiLSMJ8sOUjB1nKGTMnS5N9NKFCzjmi0hHapXx42Z2woxtxWjuPkDBy9UmKUrvVTHzARkQayLIt7F+2ksi7CX6cPo4PPHetIIiIiItJK7fu4hG3Li8gZ2ZHeJ3eKdZy4VlGxELvdT1LShM9/Zu6vxlheiD03BcdYPf8nQj2aREQa6MWPDrJqbxnXn9KTPun+WMcRERERkVaqeF8169/cR3pOMsPPzdZ8n03INENUVi4hJeU07HYPAFZFiMi8fdjSEnCepef/RKnQJCLSAJ8equaJ5XuZ1CuNS4dquVMRERERaZjq0iCr/rULXzsPJ3+3J3aHvqY3perqlZhmgNT/DJuzwgaRN/cC4LqgBza3psI4UbqCRUTqKRCKctf8baT53Nx9Zm/d8RARERGRBgnXRVn5/C6w2ZhwRS5ur2a3aWoVFQtxOtPw+0Z9Nvn3onys0iCuc7pjS/XEOl5cUKFJRKQeLMviN+/uoqgyyAPn9CXFq+VmRURERKT+jKjJ6hd3U1MRYty0Xvjba4WzpmYY1VRVLyc1ZQo2mwNj7WHMXZU4JnbG3j3p23cgx0WFJhGRenhr62EWby/m6pO7M6SLVqIQERERkfqzLIuP5u3nyN5qRl7QnY4qcjSLyqqlWFaY1NSpGHmVGKsOYe/XDseIjrGOFldUaBIROU57S2v57ZLdjMxO5X9GZ8U6joiIiIi0UjtWHWLvhhL6nZJJ92EdYh2nzaioWIDbnYWnthfRBfuxpXtxnpGlqTAamQpNIiLHIRgxuGv+NrwuB/dN7YPDrj9GIiIiIlJ/Bz8tZ/PbBXQd0I6Bp3aJdZw2IxIpJhBYR6r/LIy5+8Bh/2zyb5fKIo1Nz6iIyHF4fNkedhXXMGtqHzr6NUmgiIiIiNRfeWENH7y6h/ZdfIy+JAebbl42m8rKtwET/8eDsCpDuM7vji3ZHetYcUmFJhGRb7F0VwmvbirieyO6Mq5H+1jHEREREZFWqLYqzMoXduFJdDJuei5O9aRpVuUVC0kweuHakYxzclfsXf2xjhS3dGWLiBxDUVWQ+xfvpF8nP9dM6B7rOCIiIiLSCkVCBitf2EUkZDD++7l4k7RycXMKhfKpq/uEpN0jsA9Kwz4kLdaR4poKTSIiRxE1Le6evx3Tsnjw3H64HHrLFBEREZH6MU2Lta/uofJQLSdd3pPUjMRYR2pzyg6+BpaNZHMSzlO7aPLvJqZvTSIiR/Hs6n1sLqzizjNy6ZrqjXUcEREREWmFtrxdQOH2CoZMzSazd2qs47Q5hhGkrPLf+EuHk3j2SGxOlUGamp5hEZFv8OH+cp5be4ALBmZwZt/0WMcRERERkVZo++oidqw6RM/R6eSO1WfKWCjf/QaGs4oOqd/F5teQxebgjHUAEZGWpqw2zMyFO+jePpGbT+0Z6zgiIiIi0godzqtixUu7yOiVzLCzszVcKwZMw6S0Yg4esvCPOPWE9rWk8G127NxKKBxt8D4SHAlM7/kDUtwpJ5SlpVOhSUTkv5iWxa8W7qA6GOGPlwzC63LEOpKIiIiItDLVpUFWz9lNarqXsZf3xO5QkSkWAluXE0rcR6bzFuzOhn+ufzHveZ7d8RRJriSctoaXURKcXs7JOl+FJhGRtuSf6wtYs6+cGaf3oldHX6zjiIiIiEgrE42YrJmzG5sNpvx0IKbTinWkNskKG5SWvIi9nY/2/S9u2D4si3/s/it/3/UXTut8Jg9NfJBAVbiRk8YfzdEkIvIfW4uq+NPKfZya24GLB2fGOo6IiIiItEIfz99PxaE6Rl+SQ3IHLSgTK8ENW6lOW0d7/wU4HPVf6c+yLP6y8xn+vusvTOlyNjOG3IPTrr46x0PPkogIEAhFuXP+dtL9bu46M1dj6EVERESk3vZ+VMLeDSX0m5hJ5z5aYS5WrECE0pJXoBt06Pa9+j/esnhq2x94dd9LnJd1IdcPvAW7Tf10jpcKTSLS5lmWxQNv7+JwVZD//e5QkhO0GoWIiIiI1E/FoVo+mrefjj2SGHBql1jHadPCq/dR2fk9khMn4nbXry1My+QPW2czN//fXNz9Mq7pd71uQteTCk0i0ua9ueUQ7+4s5prx3RncOTnWcURERESklYkEDVbP2Y3L42DspZr8O5bMkjoqyxZhZAbokFG/3kyGZfC7LY+woOAtvpvzPX7S5xcqMjWACk0i0qbtKa3h0ffyGJ2dyg9GZ8U6joiIiIi0MpZlse6NvdSUhTjlyj54k9Q7Ppaiywspz34Hj7snPt/I436cYUZ5ZMuDvHNwEVf0upIf5v5YRaYG0iBDEWmzIobJPfO3k+hycO/ZfbHrD4mIiIiI1NPutUco2FrOwNO7kt5DveNjydxfTU35BkJJ+XToOP24C0VRM8oDm+7lnYOLuKr31VzZ+ycqMp0A9WgSkTbrzx/ks7O4hkcv6E8HnzvWcURERESklSk9EGDTogNk9kmh7/iMWMdp0yzLIrq8kIqeS3DYk2mXevZxPS5shPn1xntYdXgFP+t7LZflTG/ipPFPPZpEpE3aUljF39bmc96ATpzSq0Os44iIiIhIKxOqjbLmpTy8SS5GX5yDza4eMLFkbisnXFlAddo62re/GLvd+62PCRkhZn50B6sOr+CX/W9WkamRqNAkIm1OMGLwq0U7SPd7uGlyz1jHEREREZFWxjIt1r66h2Agwknf7YUnUYOFYsmKmERXFlHZdwUAaWmXfetjgkaQu9ffxrriD7hp4O1c2P2Spo7ZZujVICJtzhPL95JfXsdTlw7G79HboIiIiIjUz7blRRzaVcnw87rRvosv1nHaPOOjYsyaGioy3iM5aRJud+djbl8breHO9bfySdlmbh98N2d2ndpMSdsGfcMSkTZl7b5yXt5YyLThXRiZnRrrOCIiIiLSyhzeU8XWpQfJHtSenqM6xjpOm2fVRjE+PExg0CYMq5IOadOOuX0gEmDGupvYXrmNO4fO4tTOZzRT0rZDhSYRaTOqg1HuW7yD7u29/GJ891jHEREREZFWpq4qzAcv5+FPS2DEBd21MlkLEF1zCCtiUN7lHRKcufh8I4+6bVW4itvX3UBe1W5mDbufCRmnNGPStkNzNIlIm/Hoe7sprQlz79S+JLgcsY4jIiIiIq2IaViseTmPaNjk5O/2wuXR58lYM8uCmJtLCA0/TDC6k7S0aUct/lWEyrl57XXsqd7DfSMeUpGpCanQJCJtwtKdxSz49AhXjc2mf0ZSrOOIiIiISCuz5d0CSvYHGHl+N1I6ffuKZtL0jJVF4LBTnv0ODkcK7VK/ea6l0mAJN669loKafO4f8TBj08c1c9K2RYUmEYl7JTVhHnxnF/06+blqTHas44iIiIhIK3NwWzk7Vh4iZ1RHug3tEOs4ApgFAcxdlZijoarmfdq3uwi7/esFwL3VeVyz+iccrjvEQ6NmM6rjmBikbVtUaBKRuGZZFg++vZO6iMG9U/vidOhtT0RERESOX6A8xIev76Vd50SGTdVNy5bAsiyiywvB56QiaylgkZZ22de2W1/8Ib9c8zMMy+DxsU8yNG1484dtg/SNS0Ti2lufHGbFnjKumdCDHmmJsY4jIiIiIq2IETFZM2c3ACdd3hOHS1+hWwJzZwVWUS32ce0pq/w3ycmTcbs7f2mbBQfe4o71N9PJm8GfTn6W3JQ+MUrb9mjVORGJW4WVQWa/l8eIrBS+O7xLrOOIiIiISCuzcVE+5YW1jJveC3/7hFjHEcCKmkRXFGHrkEBV57UYhZV0SJv2+e9Ny+SvO/+Xf+X9g9Edx3LP0F/jc/kafDyj+AihtxcSWrSA0kNFWJbV4H3ZErykPPE0zh45Dd5Ha6BCk4jEJdOyuHfRDmw2mHVWH+xaelZERERE6mH/plLyPiymz/gMuvRrF+s48h/GphKoDOO4qAelZTNJSOiNzzcCgLAR4uHN9/Ne0RLOy7qQXw64CYe9/mUPKxQivHI5wYXziKxbC6aJc/AQUiadQigUbXB2mzcRe8f0Bj++tVChSUTi0pyPDvJRQSX3TOlNZrLuPomIiIjI8as8UseGufvo0M3PoNPVM76lsIJRjA8OY+uWRF36LoJ7d9Kly0xsNhuV4Qru3nA7W8u3cHXfa7i8x3Rs9bjZbFkW0U+3Elo4j9CSd7AC1djTO+G94ockTDkbR1Y2qamJVFTUNuEZxgcVmkQk7uwpreFPK/YysWca5w3oFOs4IiIiItKKREIGa+bsxuGyc9JlPbFrMZkWw1h7GIIGzomdKSp9CocjhXapUzkQyOeO9TdTEixm1rD7OSXz1OPf5/8PjVs4H2P/PvB48JxyKp6p5+AaPhKbXe1fXyo0iUhciRomsxbsINHt5M4zcut1F0NERERE2jbLslj3771UlwSZ+MM+eJPdsY4k/2FVhjA+LsE+oB3R1AoqDy+lY8f/4ZOKHczcMAO7zc7sMU8woN2gb9/XUYbG+W+/C/fk07D7/M1wRvFLhSYRiSt/+SCf7UcCPHJ+f9J8+mAgIiIiIsdv5+rDFGwtZ/CZXemUkxzrOPJfoiuLwAbOcZkcKnsKgO3hDH6z8XoyvJk8NGo2nROPPszxeIbGSeNQoUlE4sbWQ9U8tzafc/qnMzm3Q6zjiIiIiEgrcmRvFZvfPkDX/u3oMz4j1nHkv5iHajG3V+AY0wnLZ1J24HUq7Dn8+pPHGdJ+GPcOf4hk9zcXBo3Cg4TefZvQ2ws1NK6ZNHqhKRKJcOedd3Lw4EHC4TA///nP6dWrFzNmzMBms5Gbm8usWbOw2+28/PLLzJkzB6fTyc9//nMmT55MMBjk1ltvpbS0FJ/Px8MPP0z79u3ZuHEjDzzwAA6Hg/Hjx3Pttdc2dnQRacWCEYNZC7aT5nNz8+ResY4jIiIiIq1IbWWYNS/l4W+fwKiLe2j6hRbEMi2iyw6C14ljVDol5f/GMCp5/kiQM7qcw80DZ+B2fHkkg1leRmjpu4TeXUz0ky0AGhrXjBq90DR37lxSU1P57W9/S3l5ORdddBF9+/blhhtuYMyYMcycOZMlS5YwdOhQnn/+eV577TVCoRDTp09n3LhxvPjii/Tu3ZvrrruO+fPn8+STT3L33Xcza9YsnnjiCbKysrj66qvZunUrAwYMaOz4ItJK/WnlPvaX1/HH7wwiKUGdNUVERETk+BhRk9VzdmNETMZd1QuXxxHrSPIfVsQkOn8fVkENzjOyCNhq2FrwO+qiNsZn/YQf5P7o86KgWVtDePkyQu8uJrL+QzAMHD17kfiza/CcdiaOjMwYn03b0ejfxs466yymTJny+f87HA62bt3K6NGjAZg4cSKrVq3CbrczbNgw3G43breb7Oxstm/fzoYNG/jxj3/8+bZPPvkkgUCAcDhMdvZnYybHjx/PmjVrVGgSEQDW5Zcz56ODXD6sM2O6tYt1HBERERFpRTYuzKesoIaTLu9Jcro31nHkP6y6KJE39mIV1uCc3IXiXmH+uP4qLkuqoTL1Yqb2/DFWJELog9WE3l1MeOUKCIewZ2TinXYFnjOm4MzpGevTaJMavdDk8/kACAQC/PKXv+SGG27g4Ycf/rzK6PP5qK6uJhAIkJSU9KXHBQKBL/38v7f1+/1f2vbAgQONHV1EWqFAKMq9i3aS3c7LtRN6xDqOiIiIiLQi+z4uIe/DYvqMzyBrYPtYx5H/sKrCRF7Lw6oM4zy3Ozs7FXL36lv5TnIJls3HqKozqH7kQcLvL8WqrsKWkkrCuefjOX0KzoGDNPQxxppkfElRURHXXHMN06dP57zzzuO3v/3t57+rqakhOTkZv99PTU3Nl36elJT0pZ8fa9vk5G9fAcDhsJGamtiIZxY7Doc9bs5F4kdLuC4ffH0zJTVhXvrJGDI6Jn37A+SYWkKbSuNRe8Yftal8la6J+KL2bF4lB6rZ8NZ+OuemMuE7vbE7Gr84oTatv0hRDRVzdkHEpN3/9Ke4Y4Bb5l/LmGovA9LDJC13E3jxemxeL/7TTsN/9jkkjh2LzeVq8mxqz+PT6IWmkpISrrrqKmbOnMlJJ50EQP/+/Vm7di1jxoxh+fLljB07lsGDB/P73/+eUChEOBwmLy+P3r17M3z4cJYtW8bgwYNZvnw5I0aMwO/343K5yM/PJysri5UrVx7XZOCGYVFRUdvYpxgTqamJcXMuEj9ifV2+/HEh//64kKvGZtPN79ZrpBHEuk2lcak944/aVL5K10R8UXs2n1BtlHef/RS318HIi7tTVV3XJMdRm9aPmV9N5M294HbgurwXNYkmc393HQ+8V0vyyRUEci1SSgbjm3UB7nETsHm9RIDKmggQafJ8as8vdDzGTf5GLzQ9/fTTVFVV8eSTT/Lkk08CcNddd3H//ffz2GOPkZOTw5QpU3A4HFxxxRVMnz4dy7K48cYb8Xg8TJs2jdtvv51p06bhcrmYPXs2APfeey+33HILhmEwfvx4hgwZ0tjRRaQVeW9XCY8u3c2EnPb85KRusY4jIiIiIq2EaVqsfXUPdVVhJv+oLwn+pu8JI9/O2FZOdFE+tnYeHKd3IPjWP6l69V+cURWgsmcatadXkOwbRfuZf4h1VPkWNsuyrFiHaCqRiBE31UZVTqUlitV1uelgJde8uoXcjj6eunQwCS6tDNJY9F4TX9Se8UdtKl+layK+qD2bxydLDvLp+4WMOL8bPUelN+mx1KbHJ7r+CMayQujgJFK8iODCNyEc4pPeCayckMbV507nUNED5OT8Bb9vRMxyqj2/0Kw9mkREmtK+0lpufmMrnZI8/O7CgSoyiYiIiMhxK9xRwafvF9J9WAdyRnaMdZw2z7Isou8fxPyoBCO0n9rnHgE7eKaczcIxTp6ufZPHRt9NRflvSEjojS9xeKwjy3FQoUlEWo2SQIhfvr4Fh93G4xcPJDVR3ZxFRERE5PhUlwZZ++oe2nVOZPh53bQyWYyZwTCRf34EFQmE85YQ3r8I7/d/gPfi71DoqeUvK77P6Z3PJMddw77gLrp2+ZXarJVQoUlEWoWacJQb/r2ViroIT182hK6p3lhHEhEREZFWIho2WP3ibmw2OPm7vXC67LGO1GZZtbUE583H+sSBIyWH8IF3cZ7eHf/Zb2FLSMCyLJ5Ydz9uu5uf9r2Wwweuw+3uSrt258Q6uhwnFZpEpMWLGCYz5m5jd3GA2RcNpH/G0ccDi4iIiIj8N8uyWP/mPiqP1DHxit742nliHalNMkqKCb76MqGF75Iw5CrsyZ2hRw3+G27E5vhiOowVh95nXclarul3Pc7wFuqC2+ja9V5sNo1maC1UaBKRFs2yLB54eycf7C/nnim9GdejfawjiYiIiEgrsnvtEfI3lzHwtC5k5KbEOk6bE92xnbpXXyL07mLsiekkTroVm8uH68Ke2Lt/+QZyXbSWP217nJ5JuVyQfRF79nwftzuLdqnqzdSaqNAkIi3aU6v2Mf/TI/z05G6cPzAj1nFEREREpBUp2V/NxoUH6NwnlX4TM2Mdp80wKysIvbOY4Py5GLt3gdeL9/wrcTpHg9OB6+Ic7J0Sv/a453c/R3HwCPcM+zU1gRUEgzvJ6no/NptKF62JWktEWqxXNxby3NoDXDgogx+NzY51HBERERFpReqqI6x+KQ9fqpvRl/TAZtdE0k3JMgwi69YSnD+X8KoVEIng7NsP30234eo5DuO9I9h8blyX5GBL+frwxX3Ve3ll7xzO6noOA1IHsGv3fbjd3UhNPSsGZyMnQoUmEWmRlu0u4bdLdzM+pz23n56rFSZERERE5LiZhsmal3YTCRpM/EFv3F599W0qxoF8ggvnEVq0ALP4CLaUVBIuvISEs8/D2SsXY2sZ0cX52DIScV2Ygy3x621hWRZ/2DqbRGciV/f5BZVV7xIM7iKr6wPqzdQKqcVEpMXZXFjFXfO3069TEg+e2w+n7j6JiIiISD1sWlxAyf4AYy/NITXj60O05MRYtbWE3l9KcMFcops2gt2Oa8xJ+K6/GffJ47G5Ppu42ywLEn33ALYs/2dFpqOs9re08B02ln3EDQNuJcWdws79z+Dx9FBvplZKhSYRaVH2ldVy078/Id3v5ncXDcDrcnz7g0RERERE/uPgp+XsWnOY3LHpZA9Oi3WcuGFZFtEtmwkumEto6btQV4cjK5vEn12DZ8rZODp0/PL2pkV0UT447bimdjtqkSkQCfDU9ifok9KXc7LPp7LyHUKhPLKzfoPNpu8CrZEKTSLSYpTUhLn+tS3YbTb+cMkg2iW6Yx1JRERERFoR0zDZtPgAKZ28DDkrK9Zx4oJRUkxo0QJCC97COJCPzZuI59QzPhsaN2jwUae4MNYdwSqqxXlON2x+11H3/7ddf6Y8VMYDIx7BDhw+8jQeT09SUs5oojOSpqZCk4i0CDXhKDe+/glltRGevnwIXVO9sY4kIiIiIq3M3o9KCJSFGP/9XOyOb+5BI9/OsiyimzdS98pLhFe8D6aJc8hQ/N//IZ5Jp2JLPPZwRLOkDmPNIey9U7D3ST3qdnlVu3hj36ucm30hfVL7UV6xgFBoL9nZj6g3UyumQpOIxFzUMJnx1jZ2FQeYfeFABmQkxTqSiIiIiLQy0YjJp+8VkpbtJ7N3SqzjtEpWOExo6TvUvTwHY9cObEnJeC+fTsJ5F+LIOr5VoC3DIrowH9wOnKdlHbXHk2mZ/H7royS5k/lR759iWVEOH36GhIRcUpJPb8zTkmamQpOIxJRlWdz/zi4+2FfO3WfmMi6nfawjiYiIiEgrtHvtYeqqI4y9rKdWLK4ns6yU4JuvU/fGa1hlZTi69cB3ywwSzpyKzVu/kQbG2sNYR+pwnt/9G1eY+3+LCxawtXwLtw66k2R3MuXl8wiH99MtezY2m3qjtWYqNIlITD29ah/ztx7m6pO6ccGgzFjHEREREZFWKByMsn15ERm5KXTsrt7xxyu6Yzt1r84htOQdiERwjR2H99LLcY0a06BinXm4FmPtIez92uHIPfqQuepIFf+740kGtBvElK5nf9ab6cgzJCT0Jjl58omckrQAKjSJSMy8sbmIv649wAWDMvjxScfXFVdERERE5Kt2rjpMuM5g0OldYh2lxbOiUcIrl1P36hyimzaC10vCeReScMllOLO7ncB+zc+GzHmdOE89djv8ZcczVIeruGH0LdhtdsrK3yIcPkC3br9Tb6Y4oEKTiMREcSDEY+/nMTo7lRmn56p7s4iIiIg0SDAQYefqQ2QNbEe7zr5Yx2mxzOoqgvPmEnztZczDh7BnZuK75no855yPPenEe4EZaw5hlQZxXpSDLeHopYYdFdt4K/8NLup+KT2Tc7GsCEeOPIs3oR/JSZNOOIfEngpNIhITf1qxl6hpcccZuTjtKjKJiIiISMNsW16EETUZeFrXWEdpkaL79xF89SWCi+ZDMIhz6HB8v7wR97iJ2ByNs7KbWViDse4I9oHtceQkH3U7wzL4/dZHaedpzw9zfwzwn7mZCuje7XHdfI4TKjSJSLP7pKiK+Z8e4Yejs+iaWr/JBUVERERE/l9NRYi8D4/QfVgHkjokxDpOi2GZJpEPP6Du1ZeIrF0DLhee06fgvfS7OHN7N+6xIibRRfngd+GcdOwhcwsOvMWOym3cNeRX+F1+TDPC4SPP4vX2JylpYqPmaky2miP4P3gIR+VuUuwJWC7fV/5LxHL5sdz/9W/XV/7t/mxbHO5Yn06TU6FJRJqVaVnMfi+PDj43PxyTFes4IiIiItKKbX2vEGwwYLLmZgIwawKEFs6n7rWXMQsOYGufRuJVV5NwwUXY26c1yTGNVUVY5SFc3+mJzXP0HlIVoXL+vOMphqYN59TOZwBQXjGXSKSQLp3vaJm9mSyLhG0v4lv9ALZIHVb3cVBXiz1wCFskgC1Siy1Sgz1Sc3y7c3gov3QeRlq/Jg4eWyo0iUizWrTtCJ8UVfOrs/rgc+stSEREREQapupIHfs/LiH3pE4kpsR/L5FjMQ7kU/f6K4QWzMOqrcHZfyCJM3+CZ9Jp2FyuJjuuWRDA2FCMfUgH7N2OPc/TszueojZayy/734zNZsM0Ixw58mcSvYNIShrfZBkbylGxB/97t+Eu/IBw5zEEJj1CUo9BVFbUfn1jy4RI3X+KTl8UoGzh//p3JADYMJLifxEkfcsTkWZTGzZ4UYZptwAAIABJREFUYvleBmQkMbV/eqzjiIiIiEgr9smSgzjcdvpNzIx1lJiwLIvIurWfDY/7YDU4HHgmn07CJZfhGjCw6Y8fNogsyocUN85vaYNPyrewsGAe3835Ht2TegBQXv4GkUgRXbvc07J6MxlhEj9+msT1j2M5PFRPephg/2lwrNXwbHZwfzY8zkDfc1RoEpFm87cP8ympCfPI+f2xt6Q/JiIiIiLSqpQdrKHg03IGTO6Mx9d0PXZaIqu2luDiBQRfexlj/z5s7drj/eGP8J5/MfYOHZotR3R5EVSGcV3eC5v76EPmDDPK4588SseEdK7odSUAphnmSPGfSUwcjN9/UnNF/lbOQx+R9N6tOMt2EOx5LjUT7sX0dYp1rFZHhSYRaRYFFXX8c30BZ/dPZ1Dno69EISIiIiLybba8U4An0UnvcRmxjtJsjIMFnw2Pmz8Xq6YGZ99++O++F8/k07C5m3fooLm/GnNTCY4RHbF39R9z29f3vUJe9S5+NewBvM5EAMrKXycSOUzXrve2iN5MtnCAxA8exrvlb5j+DCrPfo5wjzNiHavVUqFJRJrF48v24LDbuGZ8j1hHEREREZFW7MieKg7nVTFkahauY0w+HQ8syyKyYR3BV18ivHol2O24J52G99LLcfYfGJMijRUyiCzOx9beg2PcsYfMrTq8gme2/4mT08czIWMSAKYZ4siRv5CYOAy/b0wzJD4297538S+7E3ugiOCg/6Fm7O1Y7mPPNyXHpkKTiDS5D/eX8/7uUn4xvjvpSZ5YxxERERGRVsqyLDa/U0Biipteo+J3LhyzqpLQO4sJvvEaxr692FLb4f3BlSRccDGOjrE97+j7ByEQwTktF5vr6PMWbSr7mF9/fA+9U/py19BffV4UKyt7jWi0mOysB2Lam8lWcwT/ipkk5M0j2r4PFZc8RTRjRMzyxBMVmkSkSUVNi8fez6NzsofpI7rGOo6IiIiItGKF2ysoK6hh5IXdcRyjyNEaWab5We+leXMJr3gfIhGcffriv3MmnlPPwOaJ/Q1bY08l5idlOEanY8/0HXW7vKpd3L3+NjK8mTw06tHPh8yZZpAjxX/F5xuBzzequWJ/mWWRsO1FfKsfwBapo2bMrdQO+zk42vbKhY1JhSYRaVL/3lxEXkktD5/fH48zvj4MiIiIiEjzMU2LLe8eJKlDAt2HNt+k103NKCokuGAeoYXzMA8fwpaUTML5F5Fwzvk4c3vHOt7nrLoo0bcPYOuQgOOko8+NVVh7kNs+vJFEp4+HR/+OFHfq578rLXuFaLSE7KzfxKQ3k6NiD/73bsNd+AHhzmMITHoEo13PZs8R71RoEpEmU1kX4ZlV+xiZlcLkXmmxjiMiIiIirVj+5lKqjtRx0uU9sTtiP4H0ibBCQcIrlhGcN5fIhnVgs+EaORrfz6/DPX5ii+i99FXR9w5CXRTnRTnYjnIDuSxUyq0fXo9hRXls9B/p5P2iIGWadRQX/w2/bzR+/8jmiv0ZI0Lix0+TuP73WA4P1ZMeJth/Gth0I7wpqNAkIk3m2TX7qQ5FuXlyrxaxmoSIiIiItE5G1GTr0kLadU6ka/92sY7TIJZlYezcTnD+W4TeWYwVqMaemUniVVfjOftcHJ1a7gp6xq4KzG3lOE7KwN4p8Ru3CUQC3P7hTZSHypk95g9083f/0u9LS18hGi2lU/ajzZD4C86idSS9PwNn2Q5CPc8hMOE+TF+nZs3Q1qjQJCJNIq+khlc3FnLx4Ex6dTz6+G0RERERkW+zZ0MxNeUhRpzXG5u9dd3ANCsrPpvYe/5cjN27wO3Gc8pkPOecj2vYCGz2lt2rxqqNEn2nAFu6F8eYby7QhIwQd2+4jf2BvTww8rf0Sx3wpd+bZh1Hip/D7x+DzzesOWJjC5bjW/Mg3k9fxPB3ofLs5wj3OKNZjt3WqdAkIo3Osix+934ePo+Tn47rHus4IiIiItKKRcMG294vpGP3JDr1So51nONimSaR9R9y6O35BJYu/Wxi77798N10G57Tz8Se1ErOw7KILjkAYQPn1J7YvmHIomFGuX/jTLaUbeLOobMY1XHM17YpKZ2DYZTTKf3nzREaz87X8a+6D1uwgtqhP6Vm1E3g1s3v5qJCk4g0uuV5ZazdX8Etk3uS6nXFOo6IiIiItGK71hwmGIhy8rSuLX46BquujuCi+QRffQkjfz/21FQSLryEhLPPxdmr5UzsfTws08JYUYS5sxLHhEzsHbxf38ayeOyTR1h1eAXX9b+J0zqf+bVtDKOG4uK/4/efjM83tEkzOyr24F92J+6ClUQ6DaP6/BcxOvRv0mPK16nQJCKNKhw1+f2yPHqkJXLJkMxYxxERERGRVixcF2X7ykN07pNKh2x/rOMclVF8hOBrrxCc+2+s6iqcffvhn3kfnS44l8raaKzj1ZtVGyUyfx9WfgD7kDQcI9O/cbtndzzFwoJ5/KDXVVzU/TvfuE1p6RwMo4KMTk3Ym8kIkfjRkyRu+ONnk32f8iDB/t8Du6PpjilHpUKTiDSqOR8dpKAiyB8vGYTT0bLHm4uIiIhIy7Z9RRGRkMHA07vEOso3imz/lODLLxJa+i5YFu4Jp+C9bBrOQUOw2WzY3G5oZYUm81Atkbl7oTaKc0oWjoHfvHr0y3v+xZw9L3Be9kX8T+6PvnlfZpDikhdI8o8jMXFQk+R1HVyN//07cFbkEex1PjXjZ2my7xhToUlEGk1JTZi/fJDPxJ5pjOneOlcDEREREZGWoa46zK4PjpA9qD2pGd+80lksWIZBeOVy6l7+F9HNm7Al+ki45DK8l1yGo3PLLIgdL+OTUqLvFkCiE9e03KOuMLe4YAFPb/8jp2Scyi8H3HTUIY1l5W9iGOV07Hhlo2e11ZXiX/VrEna8ipHcjYrzXiCSPanRjyP1p0KTiDSaJ1fsJWyY3HBKTqyjiIiIiEgr9+n7RZiGxcDTWkbxxqwJEJr/FnWvvoRZVIg9szO+627Ec8552H0td1jf8bCiJtH3D2JuKsWW7cd1Tndsid9cLlh9eCW/3fIQI9JGcceQmThs3zw8zbKilBT/g0TvIHy+EY0Y1iJh20v4Vt+PLRKgZsR11I78JTi/PoeUxIYKTSLSKLYequatrYf5waiuZLXTm7yIiIiINFygLMie9cXkjOyAv31CTLMYRYXUvfoSoXlzsWprcA4egu+a63GPn4jN0frnALKqw0Te2odVVItjVDqO8ZnY7N/cQ2lL2Sbu+/hucpNzuXfEg7gd7qPut7LyXcKRg2Rm3txok7g7ynbif/8O3EVriWSOpvqUhzDS+jTKvqXxqNAkIifMsixmL82jfaKLK8dkxzqOiIiIiLRyW5cWYnfY6D+pc0yOb1kW0S2bqHt5DuEV74PNhufU00m4bBquvvGziplZECDy1j6ImDjP646jd+pRt82r2s2d628l3ZvBQyNnk+j0HXVby7I4UvwcHk93kpMnnXjQaB2J658g8eOnsFyJVE/+LcF+l4NNc8K2RCo0icgJW7T9CFuKqrhnSm/8Hr2tiIiIiEjDVRyqZf/mUvqOz8CbdPQeM03Bsiwia9dQ+9yfiX76CbakZLzTriDhkktxdPzmlddaI8uyMD4uwXj/ILZUD87LemFPO3rPsaLaQmasuwmv08sjo39HqufY87EGAmsIBnfQtcssbCdYDHIVrCLpvdtwVO0n2OcSAiffg5XY4YT2KU1L3whF5ITUhg2eWL6Xfp38nDtAqzuIiIiItGV11WEqDtWd0D52rjqEy+Og74TMRkr17SzLIvLBamqfe5botk+xZ2biu+k2Es46B5s3vqaFsCIG0bcLMLeXY++ZjHNqN2yeow8BLAuVcduHNxA2Q/x+7FNkeL+9XYqL/4bT2ZHU1HManNMWqsK3+gG8n/6TaEp3Ki54iUjXcQ3enzQfFZpE5IT8fd0BigNhHjq3H/ZGGnstIiIiIq3P4T1VrJmzm3CdccL7GnR6F9zepv+6alkWkdUrqf3bn4lu34Y9MxP/7XfhOescbM74+7psVYSIzN2LVRzEMT4Tx+j0Y86fVBOpYca6mygNlfDb0Y/TI+nbF/2prd1KoOZDMjJuwG5vWI8099538C+bgb22mNphP6Nm1M3giq+CXzyLv1eOiDSbgvJaXlh3gLP6pTOkS0qs44iIiIhIjOxZX8yGt/aTlObh5O/2wuFq+HApm91GamZiI6b7OsuyCK9eSd1zzxLdsR17Zmf8M+7GM+XsuCwwARh7qogu2A82cF2Sg7178jG3j5gRZn40g73Vedw/4hEGtBt0XMcpLn4Ou91PWvvv1DujrbYE/8pZJOx6k2haXyrO/ivR9CH13o/EVny+gkSkWTy8eAd2m41rJ/SIdRQRERERiQHTtNj89gF2rjpMRm4KYy/LwZ3Qcr9mWpZFeNUKap/7M8bO7dg7d8E/4x48U6bGbYHJsiyMDw5jrD6EraMX1wXdsaV4jvkY0zJ5eNP9fFy6gRmD72FM+knHdaxQaD+VVUvo2PFKHA5/fULi2flv/CtnYQsHqBl9C7XDfwHHWNVOWq74fCWJSJObv/Uwi7Ye5mfjutEp6dh/qEREREQk/kRCBmtf2UPhjgp6jU1n6FnZ2B0tcyoFy7IIr1z+WYFp1w7sXbriv2MmnjPPitsCE4AVjBJdmI+5pwp7/3Y4T8/Cdhy9zf53+5MsLXqHH/f+GWd2nXrcxysu+Qc2m4sOadOP+zH26kL8y+7As38JkU7DqT71UYz2vY/78dLyxO8rSkSaRDhq8tj7eby2qYiR3drxvRFdYx1JRERERJpZbWWIlS/sovJIHcPOzSZ3TMtcFMayLMIrllH7t798UWC6cyaeM+K7wARgHggQWZwP1WGcp3bBPrTDMedj+n+v7n2Jl/f+iwu6XcK0nlcc9/EikWLKy+fSrt0FuFzHsSqcZZKw9Z/4Vj+AzTIIjP8VdYOuBPvRJyaX1iG+X1ki0qgOVtZxx1vb2HY4wBUju3LHuf2pqQ7GOpaIiIiINKPSggCr/rkbI2Iy4fu9ychteXN1WqZJeOWyz3ow7d6FvWsW/rtm4Tl9StwXmKywQXRFEebGEkhx47qsF/YuxzeM7b3Cd3ly2+NM6DSJa/vfcFyFqf9XUvovLMugY4cffOu2joo9+N+7FXfhWsJdJ1A9+WHM5OzjPpa0bPH9ChORRrNsdyn3LtoBwKMXDOCUXmm4HA2f5FFEREREWp8DW8r48PU9JCS5OeXKPqSkt6yVwCzDILz8PWr/8dx/FZh+hef0M+O+wARg7q8m8nY+VEVwDO+IY3wGNtfx9RD6uHQDv9n8awa1G8KdQ2fhsB1/zyLDqKa09BVSUk7D4zlGwciM4t34v/g+nI3l8FA9+VGC/S4HrV4dV+L/lSYiJyRqWjy1ci//WFdA33Q/vzm/H11SWtYHChERERFpWpZlsW1ZEZ8sOUiHbD8nT+9Fgs8V61ifs8JhQosXUPuv5zELDuDIysZ/9714TjujTRSYrJBBdFkh5pZSbO08OL97/L2YAPZU5TFzwww6J3bl/pEP43HUbw7W0rJXMc0AHTteedRtHCWfkrT0FlzFmwn1mELglAcwfRn1Oo60DvH/ihORBisOhLhr3jY+PljFJUMyuXFSTzxO9WISERERaUuMiMm6N/aSv7mMbkPSGHlhdxwt5DOhWVtD8M1/E3zpX5ilJTj79MV330O4J07C5mgbc/0Ye6uIvn0AaiI4RqXjOCnjuCb8/n+H6w5x+7ob8ToT+c2o2SS5kut1fNMMU1LyL/y+MSR6+39DwBCJ6/9A4kd/wvKkUjnlacI9z1EvpjimQpOIfKMP95dzz4Lt1EUMfn12X87qlx7rSCIiIiLSzIKBCKte3E1pfoCBp3eh38TMes3b01TM8nLqXnuJ4GuvYAWqcQ0fif/uX+EaMapF5GsOVjBK9P2DmFvLsaUl4Dy/O/ZMX732URWuYsa6mwgadTw+9mk6eevfw6i8Yh7RaDEdu973td85D28kaclNOMt3EuzzHQLjZ2EltKv3MaR1UaFJRL7EtCz++kE+/7t6P93TEnn6siH0SEuMdSwRERERaWaVh+tY+cJOgoEIJ13ek6yB7WMdCeNQEXVz/klw3psQDuOeOAnv9B/g6j8g1tGalbG7kui7B6A2imNsJxxjOmGrZy+zkBHing23U1h7kIdH/Y6c5J71zmFZBsXFfychoS9+/9j/Chgicd3jJH70J8zEjlSe+w/C3U6t9/6ldVKhSUQ+V1Eb4Z6F2/lgXzlT+6Vzxxm5eI9z8kARERERiR9FuypZ89JunC4Hk3/Ul/Zdj3++n6YQ3ZtH3b+eJ/TOYgA8U87GO+37OLv3iGmu5mbVRom+V4C5vQJbxwScF+Vg71T/m8KGZfDAxl+xpXwTM4f9mqFpwxuUp6rqfcLh/WRnPfx5TzJn8SckLbkBZ+l2gn0v+6wXk6flrUwoTafJCk2bNm3i0Ucf5fnnn2f//v3MmDEDm81Gbm4us2bNwm638/LLLzNnzhycTic///nPmTx5MsFgkFtvvZXS0lJ8Ph8PP/ww7du3Z+PGjTzwwAM4HA7Gjx/Ptdde21TRRdqkzYVV3PHWp1TURbjjjFwuGpTRZrodi4iIiMgXdn1wmI0L8knplMj47/ciMaV+E0M3psjWLdS98HfCK5dDQgIJF1+K9/Lv4ejUKWaZYsXYUUF0SQGEDBwnZ+AYnY6tAatAW5bFH7f+jpWHl/GLftczKfO0BuWxLIsjxc/hdnclJeU0MCIkbniCxA1/wExIo/KcvxHufnqD9i2tW5MUmp599lnmzp2L1/vZylQPPfQQN9xwA2PGjGHmzJksWbKEoUOH8vzzz/Paa68RCoWYPn0648aN48UXX6R3795cd911zJ8/nyeffJK7776bWbNm8cQTT5CVlcXVV1/N1q1bGTCgbXWPFGkKlmXx4kcH+cPyvXRK8vCXaUPp2ykp1rFEREREpJlFIyabFx9g99ojdO6bypjv5ODyNH/vdsuyiHz4AbUv/J3oxo+wJSXjvfLHeC++DHtqarPniTWrJkJ0SQHmrkpsnbw4p/TE3rHhq0C/mPc8b+a/zmU9pvOdHpc3eD81Neupq/uELp3vxFm6k6QlN+Iq2Uqw98UEJtyruZjasCYpNGVnZ/PEE09w2223AbB161ZGjx4NwMSJE1m1ahV2u51hw4bhdrtxu91kZ2ezfft2NmzYwI9//OPPt33yyScJBAKEw2Gys7MBGD9+PGvWrFGhSeQEBUJRfr14J0t3lTCpVxozp/QhKUEjakVERETaCtO0OLKnivzNpRR8Wk40ZNJnXAaDzuyK3d68vdvNmgChd98m+ObrGLt2Yu+Yju/aG0g470JsiW1vzlDLsjC3lxNdehAiJo7xmThGpWM7gXZZXLCAP+98mtM6n8nVfX9xQvmKi/+G09GeLnsL8K+7HcuTQuXUPxPOOeuE9iutX5N8o5wyZQoFBQWf/79lWZ8PwfH5fFRXVxMIBEhK+qLXhM/nIxAIfOnn/72t3+//0rYHDhz41hwOh43U1Ph4Q3I47HFzLtIyfFpUxS/nbKSgoo4ZZ/XhqpO713uonK7L+KM2jS9qz/ijNpWv0jURX5qrPS3LouRAgN3rD5O3oZjaqjCuBAc5w9LpPboTnXObr9eQZVkEN22k6tXXCLy9GKuuDnduLmn33UfSuedhc7maLUtTaGibmiGDqjd2E/2kFFeWn+QLe+FMP7FrY1XhKmZv+Q2jO43hwQkP4HI0/LkNBLZRHVhFj5Jkkj59DLP/xRhTHiYxMY14fkfSe+7xaZauC3b7F+NGa2pqSE5Oxu/3U1NT86WfJyUlfennx9o2OTn5W49rGBYVFbWNeCaxk5qaGDfnIrEVjBg8tzaff6wroH2ii2cuG8yQLilUVtbVe1+6LuOP2jS+qD3jj9pUvkrXRHxp6vYMlAXJ31zG/k2lVJcEsTtsZPZOYcjULDL7pOJ0ffa9rTmuKbOigtCi+QTnzcXYvxebNxH36VNIOO9CnH37YdpsVNZEgEiTZ2lKDWlTszRIdO5erPIQjvGZ2EalE7ADJ9AuOyu3c+sHt9DN34N7Bt9PTfUJPLdmlINbbsJhWnTZX0HllKcJ9zoXwkA4vt+P9J77hY4djz7dSrMUmvr378/atWsZM2YMy5cvZ+zYsQwePJjf//73hEIhwuEweXl59O7dm+HDh7Ns2TIGDx7M8uXLGTFiBH6/H5fLRX5+PllZWaxcuVKTgYs0wLLdpcx+bzdFVSHO7p/ODafk0C7RHetYIiIiItJEQjURDnxSzv5NJZQe+OzmfcfuSfQel0HWgHa4vc03bYJlmkQ2rCM4703Cy9+HaBTngIH4b78Lz6lntMnhcV9l7KwguigfnHZc3+mJPfvE5049WFPAHetuJsWdwm9Gzcbn8jV4X47y3biWXUdZTiGZdZlUX/YCVmKHE84o8aVZ3lVuv/127rnnHh577DFycnKYMmUKDoeDK664gunTp2NZFjfeeCMej4dp06Zx++23M23aNFwuF7Nnzwbg3nvv5ZZbbsEwDMaPH8+QIUOaI7pIXDhYWcejS/NYuaeMnLREnrl8MMO7tr2JFEVERETagmjYoHB7Bfs3lXJodxWWaZGS7mXQGV3JHtweX2rzriJnFB8htOAtgvPnYhYVYUtOJuGi75Bwzvk4e/Zq1iwtlWVaGCuKMNYfwZaZiOu87tiSTvyGcEWonBnrbsKwDB4e9RhpCQ0sCpkG3k1/xrf2EXb09IHNRfLIv2G5VWSSr7NZlmXFOkRTiUSMuOnWpi560hDhqMk/1h3gbx8ewG6Dn5zUjWnDu+BswDKo30TXZfxRm8YXtWf8UZvKV+maiC8n2p5H9laxd0MJB7eVEw2beJNdZA9Oo9uQNFIzmre3kBWNEl6ziuC8N4l8sBpME9fwkSScdwHuCZOweZq32BUrx9OmVm2EyLz9WAcC2Iek4ZzUBZvzxD+vH6otYuZHd5Af2MejY55gYLtBDdqPo2IPSUtuwnVoPYGep/Lh/7F33/GNXfed9z+3ojf2XqdxiqZoJI00kixLspol2bJlO3E2cezEidfZrLNJNs+zmzxJnHjjJLvpuylP7JTHW2Jb7rJlOZJlyVaxNJreZzgkhwQrCBAduO08f4DDmVGdwinknPfrhdcFLi4uzgUJEPfLc36n4wjx+H10dnz6otu41MjP3NOu+NA5SZIuvxeH0/zXp48zOlfh7lUN/Mod/TRHro0/6JIkSZIkSdeSatFm13dOcnJvGsOv0bmhju6N9TR2Ry5qhrIL4Y6epPKdx6k+8TjebAqlrp7Ah38G/4MPo7V3XNa2LAXeeBH7W8NQcdDv60JbV7co+31m/Cn+dP8fAfC7W/7ggkImpZIhuOvvCOz9HELzkbv7LxmJTSJm9tLY8JFFaae0PMmgSZKWmal8lT/7wSBPH03RlQjwV+9fz7aexfmDJUmSJEmSJF09hBCMHciw8/ER7IrLujvbWHNrK5qxOL3Xz5WbmsF6+l+pPvUkzuFDoKoY224h9NB7MbfdgqLL087XEkLg7ZnFeSYJEQPjJ1eiXuSscgBlp8RfHfwzvjv2bdbG1/Gbmz5Na7DtvPahVHME9vw9gT2fQ7EKVFc+THH7/4MTiDF7+D6i0Tvw+/suuq2Xk+d5ONUKjlXFtS1c28Kxzl66toVjW7jW/HL++pnb6LqKZTkX3A7d52PzQx8iEIkt4tFdfeQ7XpKWCcf1+D87k/z9iyN4Av7t9h7+zdYOzEXoditJkiRJkiRdXcp5m53fGiZ5aI5Ee5Ab3tt7WYfHebks1g+eofr0k9i7doIQaKvWEPylT+G7611ojU2XrS1LjbA9nKdH8Q5kUHuj6A90ofgv/tT8aPYIn9n9OySLo/xU/0f4yMqfQ1fPY79WkcC+fyS4629Qq1mqffdTvPHXcOvXAJBO/S9cN0tjw0cvuq1vRQiB59i4to07v3RsC6dawa6U3/pSrWBXStjlMlalvPAYx6peUFtUTUMzTHTTV1saOq7rXfCxGT4/TqUCMmiSJOlq9+roHH/09HGGZkvc3l/Pr72zn7aY/0o3S5IkSZIkSVpkQghGds+y+4mTOLbHdfd0sOqWFlTt0g+RE+Uy1vM/pPrUk1g/fhEcB62zi8DP/hy+u+9F7+q+5G1Y6sRcFfubw4iZMtrNLWg3N6MoF/ez84THV4a+yN8f+RvivgR/ctNfsal+y7nvwCkT2P8Fgjv/B2p5lmr3XZRu+nWcxtPD7YSwmUl9gVBwC6HQRoTn4VhV7Eot0LHLpYWwx6rMX59fVwt8qniOPd9T6FSIZOGdESadWufa9nkdv6ppGP4Ahj84vwzgj8aINLWcsc6PYfrRzDNDIxPNNNEME80w3nC9qp79T3tZo+ncyKBJkpawVNHiL549wXcPTdMW9fEn713H7f31V7pZkiRJkiRJ0iVQylbZ8Y0RJo9laegKs/W9PUQbA5f0OYVtY7/8EtWnnqT6o+egUkFtbCLw6Ifw3X0P2qo1Fx2UXCvcEzmcJ0ZAgP5IH1pf9KL3ma6m+eO9n+HlmZfY3nwbv7r2/yKsBqkUcri2jec4p4eBzYc8p4aHuVYJ9eQLqMPP4lZLWOG1lJu3YhcTOE8+j2v/YGHYmFF3lLoNkwx/v46XT3wMu1qBc5hXTDd9GP4Aus+PZhi1UEc3MPx+/Hrk9Lr5sEfTjTOWZ68zfAGMQG1f5hmhkmYYF/06SotLBk2StAQ5nuAru8f5m+eHsVyPj23r4qM3duI3tCvdNEmSJEmSJGmRCSE4sWOGPU+OIjzY/O4uVtzYdMkKfQvPw96zC+up71H9wdOIXA4lGsV/z/21nksbN6GosjwDzA/zct3aUK/5njme49SuOzbllE42ncN3yCZwXOCEBbMDFeypnbjJ09uefowzvy/njPvO7u3jOg6ubVHAuotPAAAgAElEQVSqFsiVM/S7sJY+FHeMb3m/dAFHMT/MMaWgJ/e9LvzRDYP6vkGcUpxo5DYatgXP6j1k+AOYgTNuB+aXvgCqJs9PrkUyaJKkJWYiV+E3Hz/Evok827oT/Me7VtCVuLT/yZIkSZIkSZKujEK6wo6vDzM9lKepL8LW9/YSTiz+TMLC83AOHaD6zNNY338Kb2Ya/H58t70D3133YNy4DWUJ9BzxPG++F061VtTZqi4UgK5dt3Dnl4595janHnPGfba9EPq4tvWmodBbMVU/NzU+SCLYz1B+P68Ofw9335sUk1YUNF1H1Y0zlsZZvXp004cRDHGyMsqImiQYD7Ol+SYSwYb5gMh4g8fVhoOpukZg8kUiR/4Fs5RENK7F2vpJRPettWFiuv6GvdNyuecYHvk2nR2fIXHTg4vxY5KWORk0SdIS8tzgLJ/+7hFcT/D7D6zh3jWNsquyJEmSJEnSMuR5guM/nmLfvyZRVLj+PT30Xd+wqN/9hONg792N9ewzWD98thYu6TrmTTfj++S/x9x+G0pg8f6hearIs12tnhHqzF+qZ1w/FQ6dCoFsa+H+MwMjx6q8Lih6u+DnjSiKMj+0q1a/R1+o21O7bQbDaLqBquunw5szgiBV189aarqOapj4SjqJAwZKCUrX6TSsuJkHjNvf9HHn0vtntHCSz+z+HY7ljvCervfxiYFfxqe9TfAoPHzHHyf48p+gzw1iN6yndN/fYnXfiXEOv0/TM/+IYbQSj997ri+pdI2TQZMkLQG26/HffzjE/341yeqmMJ99cIBO2YtJkiRJkiRpWcrNlHnl68PMnizQuirG9Q/3EIyZi7JvYVnYr75C9dlnsH70HCI7B6YP86ZtmL/wScztt6JG3rx2kBACu1KmkstSzmep5E8tc1Tml1a5UAt+qq8NjqqIc6jrcyZV09DPKOK8EASZPnzBELrPd7qIs+mr3Tbmb/tq2+qG74zH1x6rn5pJzPShatriBnglB/eVadxdM6ghA+0nuvG3hS5un0LwZPI7/OWBP8VUDX7/+j9ke/Ptb/0g18Ic+h6hHX+OPnsYp2412fv/Hqv3PjiH43WcLDOpf6ZU2kVb639EUa7+Hm3S1UEGTZJ0lZvIVfjPjx9i/0SeD2xq41Pv6MOnyzHxkiRJkiRJy43nCg49N8GBZ5LohspN7++la2P9OYcgruPguQ7CdfE8DyG82vVyGWvnDqo/fgFr56t4lTIEguibNqFv2Yq2bh0V3aAsPNyxYSqFHJV8rhYg5bJUCrVleX79G/YaUhR8oTCBSAwjEMLwBwnGEgthzukQyET3+RdCn9p6//x632tCJRNVWzqnrKLi4O6Ywd05A7aHOpCg/uF+cs6bDJU7RwW7wJ/t/2OemXiKTXVb+E8bf5vGQNObbq/NHMB/+Ev4j34NtZLGifeTu+d/UF3xEChvfx7hOHOkUl8gNfsveF6RWOwe6ured1HHIF1bls67VpKuQc8en+X3nqwNlfvsgwPcvbrxSjdJkiRJkiRJugTSyTxPfWMnqbE0Tb0++m+MoSjDnHj5IFa5hF0uYZVLtanj568vrCuXsCulc5sWvueM75NzY/D9Mfj+199wU1XT8Edi+CMxApEY8bbO+dtRAvPr/ZEYgWgMXyhyzRZ+FlUXd+cM7qvTUPVQV8XRbmlBrfejhk2Yu/Cg6WBmP5/Z/TtMV6b5uVW/yE/0/xs05fWvs1KexX/0a/gOfxkjdQChmlR776E68EGszttBfftTf8fJMJP6ArOz/4LnlYnF7qap6RcI+FdecPula5MMmiTpKnTmULk1TWH+QA6VkyRJkiRJWpKE51Ep5ChlM5Rzc5SzGcrZuYXbhdlZ8qk0TjUPeACM7aldXkszTMxAsDbDVyCIGQwRqm/E9Acxg0F0TyDGRvEGB/FGT4LnoYXC6KtWY6wewOjuQdENFFVFVVWUMy6qqtWWmo4/EsUfiWIGQrIe6FsQtou7K4X7yjRUXNT+KNotrahNF/+9vWDn+d+DX+BLQ/+HJn8Tf7Htr1mX2HD2Rq6NefIZ/Ie+iDnyNIrnYDdtJH/7f6G68mGEP3FOz+U46TMCpgqx2D00N30cv3/FRR/HclCtVpmYSDIxMYbjWFjWhQeHhmFwww03EwgEF7GFVx8ZNEnSVebMoXIfnB8qZ8qhcpIkSZIkSVelSiFPdipJbmqCUjZNeS5D6VSglJujnJtDeN7rHmcGw6haGKviQ1U7aFrZRP+mbhTThxkMLUwZbwZCGIHa9TOHkQnLwjl+DOfgfpwD+7APHsAbTwKgtrXju/tBzHe8E31gHYoqv0suJuF4uHtncX88BSUHpSeCvr0VteXiwwPLrfL1ka/wvwb/mYJd4J72+/mltb9C2AgvbKOlDuI//GX8R7+KWp7FCzRSvu7nqKz5AG79mnN+LsdJMzPzz8ymvzQfMN07HzD1X/RxLGWVSpnx8THGx5OMj4+SSs0ghEBVVcLhMJ53fnXGzmQYJtddt0UGTZIkXT7PHq/NKucJwR8+NMBdq+RQOUmSJEmSpCtNCEElnyU7mWRuIkl2coy5ydqyks+dta0vHCEYSxCIxom3dRKMJgjEEgRicYLROGYoRvKQxZHnZ7CrLqtubGD9nW0EYz7i8SBzc6U3fH5vcoLqgf3YB/fXwqWjR2B+qJza0Ii+bj36w49g3rQNrX+l7Il0CQjXw9ufxnlpCgo2SmcY/eEW1Pbw2z/4bbjC5ankk/zj0b9nujLFjY3b+PnVn2BFdBUASjmN79jX8R/+MsbMPoRqYPW+i8qaD2J13XFOQ+NOcZw00zP/xOzslxDCIh67l6amj+P39130cSxFxWKR8fExJibGSCbHSKdTAGiaTktLK9dffxPt7Z00N7fS2Bh7w/eodDYZNEnSVeC1Q+U++9AAHXE5VE6SJEmSJOlyEkJQmkszNzFGdipJdiK5EChZpeLCdoY/QKylg471W4i1tBNv6SDa3EYwXoemv/EplucJRnbPcuCrSUpZi9ZVMTa8q4P4G/SC8UpFnEMHcQ4ewDm4H/vAfkQmXbvT50NfvYbA+z+EvnYd+rr1aE3Nl+T1kGqEJ/AOpnFenIKchdIWQr+/C7UrcvH7FoKXpl/gc0f+hqHCCVbH1vAb1/0mWxq2gudgDj9VGxo3/BSKZ2M3biB/2+9RXfXIOQ+NO8W2U8yk/pnZ2S/XAqb4/bWAyddz0cexlOTzuYXeSuPjY8zNZQDQdYPW1jZWrlxNW1sHzc0taEuoGP3VRL5qknSFjWdrQ+UOTMqhcpIkSZIkSZdLtVQgM3aSTHKEdHKE7MQY2alx7Ep5YRtfKEyspYOezduItXbMh0rtBGKJc+4xJIRg8liWvd8bIztVJtEe5Mb399LUG13YxkulsHa8zPThfRR37cEdGgRRG56jdXVj3rQNfe16jLXr0fpXoLxJmCUtLuEJvCMZ3BenEJkqSnMA/e4+lJ7IovQYO5DZx/97+K/Zl9lDe7CD3978Gd7R8k4URUEtjBP97icwpnbiBRoob/golTWP4jasPe/nse0UMzP/xGz6sfmA6QGamz6Oz9d90cewFAghGB8f4/DhA4yPj5HLZQEwTR9tbe0MDGygvb2DhoYmtGu0oP1ik59QknQFPXs8xae/e1QOlZMkSZIkSbpEhOeRT02RSZ4knRwhM1YLlkqZ2YVt/OEo8bZO+m68jfhCoNSBPxJ9iz2/vXSyyN7vjTJ9Ik8o4WPbB/voXFcHVhXrxy9ivfJj7Fd+jHtiEAA1GkUbWIfvjneir12PPrAWNRq7qDZI50+4Au/YHO5LU4jZCkqjH/09vaj90UUJmE4Whvnckb/jR1PPkjDr+NS6X+fdnQ+jzw9/M5IvEH3yk+CUyd3151RXvgc047yfx3VLTE3/LbOzX0QIh0T8AZqafv6aCpiGho6zc+crTE1N4PP5aW/v4LrrttDW1kF9fQOqrF92ScigSZKugDOHyg0012aVk0PlJEmSJEmSLo5drTB3KlBK1norZZIncawqAIqiEG1uo6lvNXUd3STau0i0dxOIxhe1plEhXWHfU0lG96XxBXU23d9JTzyDs/Nxcp/7Mfa+PbX6SqaJsWEjvk/cj3nDTdRv3Ug2V1m0dkjnRxTtWpHvvbO1Gkx1PvQHe1BXxRbl92OmMsP/d+zzPDH6OD7Nz0dXfpxHez9EQJ8fPikEgd1/R+jFz+LGe8nd92XcupUX9Fz5/IuMJX8P254kEX+QpqaP4/N1XfQxLAWu63L06CF27XqFTCZNNBrjHe+4mzVr1qLr5x/YSedPBk2SdJnYrsfxVJEDE3m+dWCKg5N5PrS5jX9/uxwqJ0mSJEmSdD481yWfmmJuYoy5iVHmxkdJj42QT00tDDkzAkHq2rtYcfMdJNproVK8tRPdNC9Zu6pFm4PPTjD48jSKAivb83SPP4v4gxfJZecA0PpXEHj/BzG23oixcTOK37/weDk73OUnhEBMlHB3p/COzIEnUHoiaO/qQO2JoqgXHzAV7Dz/cuJ/8ZWhL+IKl/f2vJ+f6v8ICV/dwjaKVSDy/V/DN/htqv0PkL/zTxHm+RcZd9wcExN/QibzDUyzm/6+fyAU2nzRx7AUWJbFwYN72b37VYrFAg0Njdxzz7vp718ley5dZjJokqRLQAjB6FyFA5M5DkzkOTiZ58h0AcutffFpCJn80UMD3CmHykmSJEmSJL0p4XkU0qlamHQqVJoYIzs5jufUZlxDUYjUN5Fo76bvxltJtHdT19FNKNFw2WZes6suR384ypHnp3EcaM/vpWffF/FZWURdPebNt2BsvQlz6w2o9Q2XpU3SWxOOh3c4g7s7hZgqg6mibapH3diAWud/+x2cA8ut8oVDj/H5/Z8jZ+e4q+0ePrrq47QF28/aTsscJ/rEz6PNnaBwy29R3vSLcAG/u9ncMySTf4DjpGls/BjNTb+Aqi7OsVzNyuUSe/fuYt++3VSrFdrbO7nzznvp7OyWsy9eITJokqRFMFu0ODCZ58BknoMTeQ5O5clVHAD8uspAS4QPbm5nXUuEda0RWiI++aEnSZIkSZI0TwhBOZshMz56Rqg0RnZibGHYG0AwUU+itZPW1RtItHYQb+sk1tKObvquSLtLcxWOfH0PQ4MODiYNqX30jz1BfHU75sd/FuPGbWi9ffJ731VE5CzcPana8LiKi1LvR7+7A3UggWIuTiHool3kO2Pf4itDX2S6MsUNDTfx86s/wcrY6tdtaw5+m8jTvwq6n+zD/we7Y/t5P5/jpEmO/xHZ7JP4/avo6fkLgoHzLxq+1ORyWXbv3sGhQ/txHIe+vhVs3nwjLS2ti/o8QgiGqjY7SmWKuTyVin3B+wqoKh9IRAlpy7uHlQyaJOk8VWyXg1N5DkzUgqUDE3km87UvQJoC/Q0h7lrVUAuVWqL01AfRF6HLrSRJkiRJ0lJX66E0Q3ZqnOxkcn45ztzEKHa5tLCdPxIj3tbJilveSby1g0RrJ7HWDsxA8Aq2/rT0oVEOf+sgyVwMgULT3BFW9Do0vXczxoafRrmEw/Ok8yeEQIwWcHel8AZrM46pK2JomxpQOsOLFgROlMb56vCXeWLsW5ScEusT1/HpW36P1f4Nr9/Ycwi99IcEd/0tdvMWcvf9LV647byeTwjBXPYJxsf/GM8r0Nz0SRobP4qqLu86RLOzM+zc+QrHjh1GURRWr17L5s1bSSTqF2X/nhAcr1rsKFbYUSzzarFC2nUXZd8BReGWcIBV2pUJxy8XGTRJ0nk4niryy4/tI1W0AGiL+dnQFuUnWyOsa4mwuimM35BTYkqSJEmSdG1zbYvc9MTpQGlynOzUOLnpcVz7dG8AfzhKtLmN3q23EG/pJN7WQby1A3/44mZ7uxQ822b82y9x9JU0KbUN1Q3R6R5l1W3tJO75NzJcugoJy8U7mMHdNYNIVyGgod3YjHZdPUp0cX5eQgj2Z/by2NAXeX7qORRF4R0td/Jo74dYE19LPB5kbq501mOUUoro9z6JmXyB8vqPULj1t+E8gwfbnmIs+V/I558jEFhPZ8fv4vevWJRjulqNj4+xc+crjIycwDAMNm7cwsaN1xMORy5qv64QHK1Y7CiW2VGs8GqpTNb1AGg1dLZHAmwNBtgaCrC+KUr2NT/P83Ut9HCUQZMknaPDU3n+3WP7MHWV//aetVzXFiURlF8oJEmSJEm6dtnVCpnkSbJT82HSZJLc1DiF2WnEfFFuFIVwXSOxljZaV68j1tJOrLmdaHMb/os8Qbwc7NFRhh57nsGxAPlgG6YbZVUiyar3XU+w79Yr3TzpDYiSjfvSFO6BNFgeSnMA/b4u1NVxlEWahMfxHJ6d+D6PDf8LR7KHiRgRPtj3YR7pfpTGQNObPk6f3En0yV9ELafJ3fXnVNc8el7PK4QgnfkqExN/hhAOrS2/RkPDh1GU5fnPbs/zGBoaZPfuHUxOjuP3B7jppu2sX78Rv//CZu12hOBQuVoLlkoVdhUr5L1asNRh6LwzEmJryM/WUIB28+zeYaqiXBNB0cWSQZMknYO94zk+9dV9RHw6f/2B6+iIX9iHmiRJkiRJ0lJXymYY2/cqJ/fuYPLoATynVpdS1Q2iTS3UdfXSe8OtxJrbiLW0E21qvaQzvV0Kolql+MwPGHz6KCOspOLvJxTIsXGtRf8j29H9S+t4riWi7GB/eRCRrqKujqNtbkBtDS3a/nNWjsdHv87XR75CqjJDR6iLT637de5pv5+A/hbnCELgP/A/Cf/wt/HCrWTe/03cxnXn9dxVa4zk2O9RKL5MKHQ9He2/g8/XdZFHdHWyLItDh/azd+9Ocrks0WiM2267k4GB9RjG+Q8NHKla/GuuyI5imV2lCiWvFoT3mAb3xEJsDdV6LLUYMiJZDPJVlKS38eroHP/ha/tpCJn89QeuoyW6/GdukCRJkiRJOkUIQXZqnNE9rzC671VSw8cBiDQ0s+b2e2hZWeulFKpvXPJTiDsnBpn7xncYPFghWX8jjn8bdf4im+9upOOGrYsy1b106Qjbxf7aCUSmivH+PtSuxesxN1o4yVeHv8STye9QcStsqd/Kr67/DW5svBlVeZvfe6dM5Nn/jP/wl6l230n+7r9E+OPn/NxCuMzO/gsTk3+Fomi0t/0WdXXvQ3m7512C8vkce/fu4uDBvViWRWtrO9u3v4Oenv7z/nwpeR7/mi3w1UyenaUKAP0+g4fiEbaGAlwf9NMog6VLQr6qkvQWXhxO8x+/cZC2mJ+/fnQDDeHlXbRNkiRJkiQJasNVUkPHGN23g5N7dpCfmQSgvrufTQ9+kM7rthJv7VgWQ0iEZVF96nukvv0MQ9VuJptvQLRotLXBmnevoWERwwrp0hGOh/2NYcRkCf2hnkUJmYQQ7Jp9lceGv8hL089jqAZ3td3D+3s+RH/0HOshZYaJf+Wn0VMHKd7wq5Ru+BU4j4CoUjnBWPJ3KZX2EoncSnvbb2GaLRd4RFevqakJ9ux5lePHjwKwYsUqNm68nubm85tBTgjBnnKVr2dyPJEtUPIEPabBrzTX8WA8QrMMli4L+SpL0pt49niK//T4IXrrgvz3RzfIekySJEmSJC1rjmUxeWQ/J/fuYGz/q1TyOVRNo3nlOtbe+QCdG64nGK+70s1cNO5chtnHvkPyxUFSgV4ydT+Bqnj0bUyw+p1dhOtkL/alQngC54mTiJE8+r2daCvPvbfQG8lac/xw8gd8feSrnMgfJ27G+ZkVH+Ph7vdR5zvjPSAECLd28VyU+eWp28bULvRnfg0hBLl3/xNWz13n3IZqdYTZ2S8zm/4iqhqks+MzxOPvXhbh7imn6i/t2bODiYlxTNNk48brue66zUQi5zchQMpxeHyuwNcyOU5UbQKKwr2xMI8kImwO+pfV67YUyKBJkt7A9w5P89vfOcxAS4S/eN96ov7lPUWoJEmSJEnXpkohT/LALkb37mD80F4cq4rhD9C+bhOdG7bSvm4TZiB4pZu5aOyqy+QrJ0j+4ADTWT8V/ypoW0UkLFh3YxsrbmrGF5SnSEuJEALnqTG8o3Nod7Shrb+wKe5PhUvPjXyTXfkjuAhW2B6/W7J5oHgS39CfgvivKJ4DwgPhogjv7dvXvIHMu/4WL9Z9DsfikMs9x2z6SxQKLwE68fh9tLb8Bwzjwo7ravRG9ZduvfWdDAysxzyPem6OEPwoX+JrmTzP5Ys4wKagn0+3xbk3FiakLb+hhUuF/BSVpNf41v5JPvO9o2xsj/Fnj6wjZMq3iSRJkiRJS58Qgvz0JDPDx5gZPkZq6DiZ5AhCCILxOvpuuo2u626geeVaNH15fP8RQpCbrjBxdI6J3UlSUw5C0dDceupDWdbcGKT95hWEErI8wlLl/nACb98s2k3N6Ne/+Wxvb2SumuFHye/x3Mlvsqs0hAt02jY/WyxzZ6CHFdHVKDEDVI2KooGigVpbClWvDYF7zXVUDaFooOoII0Bgy6N4xbduh22nSGe+Rjr9GLY9hWE009z8S9QlHsEwGi78xbnKnK6/tA/LqtLa2sYtt7yD3t7zq780VLX4eibPN+fypByXel3jpxvivDceoU8W6r8qLI+/IJK0SL68e5w/fvo4N3XH+W/vWYffWJ7ThEqSJEmStPxZpSKpkcGFUGlm+DhWqQCA4Q9Q393PhnsfoWPDFuo7e1GWeCHvU+yKy9SJHJPHskwcnaOcswEIFZJ0Fo7TuqGZ9g/dh97ceIVbKl0s5+Up3FemUTfWo20/t7pFc9UMzw89xrPJ77KrMoGrQJdt87MVl3fGN9LT9yB2z50If4K3yYfOScAIAqXXrRdCUCy+ymz6S2Sz3wccwuGbaWv7v4lGbkNRlsepuhCCyclx9u3btVB/qb+/Vn+ppeXc6y+VXI8ncwW+lsmzq1RBA26LBHkkEeW2SBBDDo27qiyP315JWgT/c8cYf/HsCW7rq+OzD63Fpy+PL1uSJEmSJC1/nueRnRhlZuh4LVgaPk52Mlm7U1GIt3TQtekGGntW0ti7gmhz+5KfIe4UIQTZyTITx7JMHsuSOllAeAJd9Uhkj9I9/ioNZobE+x7Ef/8voQTeYgp6aclw987i/nACdXUc/c63LkyfKU3xwrEv8OzkD9jppPEU6LZtftb1c0fDzXT3P4LTegOoOtalbrdbIDP3OLOzX6JaPYGmRWlo+Enq6x7F53v74XVLRbFY4MiRgxw6tJ+5ucx8/aUtbNiwhWj03OsvpWyHL8xm+VI6R8Hz6DENfrW5jofiERpkYe+rlvzJSNc8IQSff+kkf/fCCHevauD3H1iDLsfzSpIkSZJ0FSvn5pgZPs7BiRHGjhwkNTyIY1UB8IUjNPaspHfrdhp7V1Lf1bes6iwBVEsOU4NZJo/lmDyepZKv9VqKNRj0BZPEdnyL6NR+zHXrCfy7n8LcfjuKJnuqLxfu0Tmcp0ZReiLo93ehqK8PmTJzx3jx6D/zg9SP2SkKeIpCt+3wUa2e25vvomvlBxDzdZOcy9Dmcvkos+kvMTf3bTyvTCCwjo723yUevxdVXR7hp+u6jIyc4NCh/YyMDCGEoLW1jc2bb2DFitXnVX9pzLL5p9QcX8vkcYTgnliYn6qPsTHgk4W9lwAZNEnXNCEE/+NHw/zzy6O8e20Tv3XvavQ3+EMlSZIkSZJ0pThWldmTQ6SGj5MaOU5qeJBiJgWAqmkkOnro3/YOGntX0tizknBD07I7EfM8QSZZZPJYlsnjWdJjRYQAM6DR3B+lMVoh9urjKF//Jnge5u13EPjdv8dYt+FKN11aZN5wHufbIyitIYyHe1Fe8w/iufEX+Pzu3+cJMYenKPQ6Hh/1d3N7x7vp6H8fii8MgLgcbfUspqef5uToFyiVdqMoPuLx+6iv+wDB4PrL0ILLY3Y2xaFD+zl69CDlcplgMMTmzTewZs06Eonzm6nyeMXi8zMZnsgWUBR4TzzCxxoSdPnk5ExLiQyapGuWJwR/+swgX9w1zvs3tvIbd61AXWZfyiRJkiRJWlo8zyM3lWRmuBYopYaPMzcxivBqs1uF6xtp7F3JwDvvp6G7n74NaymU3Cvc6kujnLdqPZaOZZkazGKVXVCgri3I6vUm9dURwiO78b61H3dkGAIB/O95H4EP/iRaW/uVbr50CXgTRexvDqHU+zAe6UUxTodM7sx+vrHjt/kHdxxbUfgJfz/3rPhpOjvfdVnrjzlOhnzhJQr558nln8d1M5hmJ60tv0Yi8TC6HrtsbbmUqtUqx44d5tCh/UxPT6KqKj09/QwMrKerq+e8h+buKVX43EyGH+RLBFSFn6qP8TMNcZrl8LglSf7UpGuS6wk++9QxvrFvkg9f386vvKNv2f3nT5IkSZKkq19pLk1qZHCht9LsySHsShkAMxCivruf9Ru20Ni9gvqefgKRs09SddMHpdcXGl6KXMdj9mSByeO1Wktzk7XXwR9UaY5VaDCHiA2/hPrCHqjWhgk68QT62nX4HnwP/nc/hBo599ov0tLipcrYXz0BIR3j/f0o/tqprJo+xqsvf5q/qB7hpGFwm6+NX7z+92mrW3dZ2iWES6m0n3zhefL5FyiXDwACTYsRCd9MZ+eHgI0oytIvzSGEIJkc5dCh/QwOHsN1HerqGrj11jtYtWqAwHkO0RVC8GKxzOdnMrxcrBDVVD7ZlOAn62LEdTnUdSmTQZN0zXE8wae/e4TvHprmY9u6+MQt3TJkkiRJkiTpsqiWCowf3MvYgZ1MHTtEaS4NzA+Ba++m78bbaOjup6FnBdHGlmUzE9wb8VxBdqpEarTA1PEc0ydyOJaHokCdv8gq9zjxwR8RGj+IAmCa6CtXoT/8CMba9ehr16G2tsnvcdcAka1iPzYIuor5aD9KyECbO8H0y5/lz3Ov8nzQT48vwR9t+A1uaL/7krfHtmfI558nX3iBQuElXDcHqASD62lu+gSRyC0EAlWPLLQAACAASURBVGtRFI14PMjc3NIOg3O5HEeOHODQof3k8zlM08fAwDoGBtbT2Nh83u9BTwiezhX53MwcBytVmnSNX2+p5wOJKEFZK3dZkEGTdE2xXY/f+vZhvn8sxSdv7eGjN3Vd6SZJkiRJkrSMCSHITY0ztn8XY/t3Mn3iCMLz8IUjtK5eT2PPShq6+6nr7EEzzr1Q7lIjhKCUtUiPFpkdK5BOFskki7hOrVJOQCnRkjtKYuTHJDJH0N0qakcnxvr16B98AH3tevQVK1EMWaflWiOKNtZjg+AKjA/1ozGBeOpP+PzMD/jf0TC+YJhPrvgI713xEXT10pzeep5NqbSbfOEF8vnnqVSOAqDrDUSjdxAJbycc3rYkh8UJISiXS+TzuflLnnw+R6Fw+na1WgGgo6OLbdtupa9vBbp+/u9F2xM8ns3zDzNzDFs2XabB77Q18nA8ginr5C4rMmiSlr25ks0Lw2meP5HmpZEMuYrDf7ijjw9f33GlmyZJkiRJ0jLkOg5Txw+R3L+Tsf27yKemAEi0d7P+XQ/TsX4L9d39513DZCmxKg6ZZKkWKo0VSY8VqBRqc3upeEScGVpnjhDNHCeWGyZg2Bhr16E/dCPG2o+hD6xFjcWv8FFIV5qoONhfGYSig+/+MME9v8l3k0/wl4komViEB1rfxcfWfoqE7/wKTr/t8woPyxqlUHiZfOF5CoWX8bwSoBMKbaKl5VNEwrfg96+66nvUua5LoZBfCJLOvJ7P5ykUcrju2XXeDMMkEokSiURpaWkjFovT17eSaPTtgzQhBI4AWwis+UtVCJ7LF/mnVJZJ22G13+S/djbzrmgI7Sp//aQLI4MmadkRQnB0psjzJ9L86ESa/RM5BFAXNLi9v5571zSyrWdx/xhJkiRJknRtK+fmSB7cw9j+nUwc3oddKaMZBi2r1rP2rnfTsX4LoUT9lW7mJXFqCNzsWHEhVMrNVBbuD4kc8bkhojOHieaHCVemMFf0o69bh772YYyBtaidXVf9Cbt0eQnbxf7aEGK2QqTv+5z44d/wh4k4BxsSrI+u4Q82/AarYmsu/nnmQ6Vy+RCl8kHK5UOUy4fwvAIAhtFKPP5uIpFbCIduQNPCF/2cl0qpVCSVmiGVmmF2tnbJZNJ485MJnBIMhohEojQ2NtLX1084HF0IliKRCD6fH8sT7C9X2FGscKBcpZIuYqUKWEKcFSJZ3qnbLNz3ZjP6bQn6+X/aGrgtHJTv92VOBk3SslCyXF4eyfCjoTQvDKWZKVgArG2J8PM3d7G9r56B5rCcVU6SJEmSpEUhhCA9Nkxy/y7GDuwiNTIIQhCM19F7/S10rN9Cy+p1tWLdy4QQgkrBJjddJjtVJjtdJjddZm6itDAEzsAiVhqld+oQ0dwQ0fwIvpYGjIF16HfcgD7ws+grV6GYy3eYoHTxhOvhfO0IYryC6v8TPls9yLdbGmkw6/jPA7/MXW33XFBQ8XahkqIY+P2riMfvJxAYIBTcjM/Xc9WFIq7rksmkmZ09HSqlUjOUy6drQYVCYRoaGunu7iMeTxCJRAmHI0QiETTt9TGA5Qn2lSu8ki2xo5hmT6lCRdTe170+g4iqYioKIVXFVBVMRcFQasvX3q4twVRPr+v1mWwM+i/bayRdWTJokpas0UyZHw2lef7ELDvHstiuIGRqbOtJsL23jlt666gPyS8xkiRJkiRdPLtSZnZ0iNTIILMjg0yfOEo5mwFFoaF7BZve/Sgd67eQaF8ek4xUizbZ6dNhUnaqtrTKp4fYmJpLqDpN28xRoplBorlhAj4HY2Adxl3r0Nfeh75mQA6BuxYIgZIbRx0+BienESXnonbnZCN4+U72Rf+B32kfwVEi/FTfh/lw/88Q0M9tZrPzDZWCgbX4fP2o6uLVARNCLFwuVKVSPquXUio1QyYzu9BLSdM06urq6e7upaGhkfr6RhoaGvH7A2+536rnsa9c5ZVimR3FMntKVapCoACr/SaP1kXZGgpwfdAvZ4CTzpsMmqQlo2K77BnP8cJQbUjcyUxtytueugAf3NTOrX11bGqPosuZCiRJkiRJugiubZMZP7kQKqVGBslOjcP8yWK4vonm/jW0r91I27pNBCJLrwDwKVbFOStIOhUsnaqnBGD4NaJNftraFYKzJwkc+TGBYzsw7QJady/GDTeir30Pxtr1qG3tyyJok96CU0ZLHUFLHkOMpvBSAqcQx3J7EcSBiw8WBQ5fbv4G/1i3k+3Nt/NvB36ZtmD7m27veTbV6gnKlcNUykcoV45QLh+5rKHSKfl8jqGhQYaHB0kmR183bO1iBIOh+V5KPdTX10KlRKLunOq9VT2PvaUqO0plXpkPlqz5YGmN3+SDZwRLMRksSRdJBk3SVatQddg7nmPXWJadY1kOTuZxPIGpKVzfGedDm9u4pbeOjvhbp/WSJEmSJElvxvM8clNJUiMnFkKlzPhJPKcWtPgjUeq7+um5/mYauvqp7+rDH4le4VafO7vqUpqrUpyzKGaqFOeqlDIWxfl11hk9T3RTJdoUoHVVnGhTgGhCIzh5BHXHD7G//UO82RSoKvp1m/D9ws9hbr8NrVPO4LtsCYFamECfPYg2eRQvmcZLgVNqoOKtwmMlsBJw0INZjPoibrvGZFuAqUCZglOg4OQpOEVKdp6CXaDgFCjaRYpOgYJdu69oF6h45bOfGkFHpIs/HvhztjbeeNZ9rpunXD5CpXI6UKpWBxGi9rusKH4ClylUqr1MglRqmqGhQYaGBkmlpgGIxxNs2LCJWCxCpWJf8P4Nw6S+voGGhkYCgXPrzZV1XIYtm5GqzVDVYnepwt7y2cHST9RFuSEUYHPIT0yTwZK0uGTQJF01chWbXWOngqU5jkwX8ARoqsLa5jAfvr6DLR0xtnTGCBjyw1CSJEmSpPPjeR75mUnSYyPMnqwFS7OjQzjzU3cb/gD1Xb0M3HE/Dd391Hf3E0rUX9U9dKyKQ3aqdE5BEoCmKwTjPkIJH3XtIUIJH9GmALGmAMGYichmsF54Huvbz2G98mPsSgUlGMK4aRvm9tsxt90sh8ItR8JDmzuBPrUbbXIvTKbxZjVsq5OyWIUjtgG1XjNqoAj1kG0qM9JQ4ZB+ghPlQUYKw4zlRnGz7ut2ryoaYT1M2AgT1iOEjTBt/s7a7fl1oTOuR40oq2MDCDdFNveDhV5KlfIRLDu5sF9dr8PvX0MkcgsB/xr8gdX4zE4U5dKeK7iuSzI5ytDQcYaHBykUaj2nWlvbuPnm2+nt7SeRqE0+FI8HmZsrvdXuLkjF8zg5HyaNWDbDVZvhqsWIZTPnnu5FpQGr/T5+8oxgKSqDJekSk0GTdMWkSxa7xrILPZaOzxQRgKkprGuN8tGbutjcEeO6tqgMliRJkiRJOi9WuURm/CSZsZNkkiO1y/gorl2bMETVderau+m/6faFUCnW1IpyDkNQrpRKwSadnJ/ZLVkkM16kWnzrIKl23SQ0v84X0s8KzoQQuCPDWN/5Btkf/RDnwL5aT5amZvwPPIS5/TaMTVtk8e7lRAjU4gT61G6M6T2oyaO40za21UvFW4MlHgTmf96mTaXOYqo+x/HwBLv0gxypHmO8OIZX9mAUVFTaQh10h3u4tfl2usO9NAdaCBuR2kUP4dcCbxrYum4JyxrFskapWqNY1VeoFk9ydPIYrpud30rBNLsIBNdT538/gcBq/P7VGEbDZXnJACqVCidPDjE0dJyRkWFs20LXdTo7u7nxxu10d/cRDJ5bj6Nz5QrBhO0wXLUZsazacj5YmrCds2Z3a9I1un0G74qG6fYZ9JgG3T6DdtPAuIrDcml5kkGTdFkIIRjPVdg3nl/osTScrnWR9esq17VF+cXt3WzuiLGuJYpPv3q/5EmSJEmSdPUQQlBMp0iPDc8HSidJJ0cozA9fATCDIeo6ull1610k2rtJtHcRb+1E06/er8JW2SEzfjpUSieLlHO14TeKAtHG2hC3ps4Iql950yDptbxCAefYUZzjR3GOHsHevxdvbBQAffUagh/9OOatt6OtWHlV9+SSzp1SmUOf2YsxtRttai+MT+OUmrC8AUpiI664HwBPccnGSownZjjkH+JlbRf7ncMIRYAHWl6jI9RJX6SPd7beRU+4l+5wLx2hDkztrWdXdNwcVvVkLUiyxs64PorjzJ61raYl8JmdxGJ3E/DXAiW/fyWatrghzrnI5bILQ+ImJsbwPI9AIMjKlavp6emns7MLXb+4IXlCCGYdl5H53knDC72ULE5aNvYZaVJYVenxGWwO+nnvfJjU4zPpMg1Csk6tdBW5ev+6SktWvuJwPFXk2EyRwfnlidkiRavWjTZkamxqj/HQuhY2d8QYaA7LAt6SJEmSJL0lu1qhnM1QmsuQT9WGv2WSJ8mMn8Q+NaW3ohBpaKa+s5cV2+6grr2bREc3wXjdVR2aOJbL3ERpIVBKJ4sUZqsL94frfDR2R0h0hKhrD5FoDaKbtd7ebzUsx0ulcI4dqV2OHsU5dgRv/PSwI6WuHn3NAIEPfRjzllvRmpov7YFKl5bnojhltPQRtMldFKd3kJ45TqkQxfUGMJ3VxO2fwxS1+qZZPc/+wCCHAi9xMHCC4/6T2KqDruh0hrroifTykfB2usM9dId7aQ91YLxJnSPPq2Lbk1j2JLY1gWWPnxUmuW7urO0NvQnT10kkcjs+swPT14nP7MI0O9C08CV7iYQQVKsVyuUS5XKZSqVMuVyev37muhLlcmlhSFwiUc+mTVvp7e2nubn1gj5P8q7Lyfkhbq8NlIre6TTJUKDLNOg2TW6PhOg2DXp8td5J9Zp2VX+WSdIpiriYuRavcrbtXpLxsFfCpRrbezFs12MkXeZYqsDxmdJ8qFRgumAtbBP16/Q3hFjZEKK/McTa5jArG8NoqvyAXA6uxt9L6eLIn+nyIn+ey89y/Jl6rks5N0cpm5kPktKU5pflbKZ2PZs5HSbN000fifYuEh3dtUCpvZt4WyeGz3+FjuTNuY5HtehQLdpUCjbVokOlYJNPVUgni+Smy6cmtCMQNWphUnstVKprD2EG3vx/w/F4kEy6gJccOytQco4fRaTTC9upHZ3oK1ehr1iFvmo1+spVqPWXb9iRBAiBYhdQqjmUaha1mkWpZlGquYXrPqVCrpSn6JaoOGVKboWSV6XsVikJm5JnURIOZWFTxKUkPEp4lBSPCjo+t5GE3U9HdQWry330VNvRUPHwGPaNMxhOMh5PM1dXQY37afA30uBvoN7XSL2/gQZ/IzEzhnZGjSMhBK6bwbIm5sOkcWxrPlSya+scJ/2ag1Uxjdb5AKkT0+w843o7qnppJvMplYrMzs4wO5tibm5uITw6FSRVKhXe7PTX9QWwYgkq4RiFYJiCPwiBIJFIFN8FDh21hWDS8xgsVZl1TteuUoA2Q6fbZ9BtGnT7zIWhbq2GjibDpKvWcvw7fKEaGyNvep/s0SS9JSEEharLTLHKRLY631OpwGCqxHC6hDOfvuuqQm99kC2d8YVQaWVDiMawKVN3SZIkSVrmPM/DqZSxKmWcahm7XMauVrAr5dOXam1plcsLAVI5m6Gcz8JrTvwUVSMQixOMJYg1t9Oyah3BeB3BWIJgvI5QXQOR+qYrVk9JCIFddRcCo2rBplJ0XrO0qRYcKkUbu/L64sgAZlCnrj1E+0BiPlwKEoi8+QmtsCzcyQm8sVHc5Bju2CiF4UGqh48gSsXaRrqO1tuHedMtC4GStmIlaujS9RK5ZtlltOIEamH+UpxErc6dERzVAqVqdY60kyftlUmrCmlNZVbTSKsas5pKWtNqtzWVnKrivfa7s8qpOtwoQqHRSdBebaLbaqLTbqHDaqLFaqTeqkOjFhBZuk22zmKiuYraFiLY2cSKyAYG3qBHkhACx5mt1UkqPc/M3Bi2PTkfJtWCJCGssx6jKH5Msw3DaCHgX4NhtmIaLRhGC4bZiqE3X7JZ3gBs2yaTmSWVmiGdTpFKpUinZyiXT89e5/f7CQSCBALBWmHuYAfFYIScGWDO9JHWDFKKyrSnMOm65L2zP4cCikJEU6Hq1C4XQFUUugIm74gEFwKlbtOg09TxXcX14CTpYsmg6RolhKBouaSKFqmCxUyxWlvOX1LF6vzSoup4Zz22JeJjRWOI7X11C6FSTyIgh79JkiRJ0hLnuS7VYp5KPkul8MZLq1w6K0ByqhUcq/r2Owc0w8DwBwhE4wRjddR19BCMJ2oBUqyOwPx1fzh62UMkx3JP9zpa6H3kUC3VAqNq0aZachZ6JHnuG/eKMIM6/pCOL2wQbw3gC0fxhwx8YaO2PmTgD9eWhu/1k52ISgV3PIk7Noo7njwdKiVH8aamwDv9vUwJhfCtWoXvvgfmQ6XVaD29snD3YrCKaMUJlHwSOz9KpTBGtTBOpTxFtTxDuTJLxSlRUlVKikJJVSiqKrO6QVr3MavrpDWF2ZCgEgaIzF9OC6t+4kaUhC9Bh6+B9YFGmiKNqLZB3ImQKIeJFQNECn4CBQ0zp6DnPJQzc0tdRUn4UNp8tWXcRGkOYtb7iahnFn13sOxJ8tVajaRTQ9osawzLGsPzymfsVEHXGzCNVgKBNUSjd2AarWeESa1oWvSy/DNZCEE2O0c6nWJ2NnVGb6XM6ZdA16mra6CpdyVeXSPVaJyCP8Q0CuOWw7htk7Qc8me8d3AhIKDdUGnzG1xv6LSbBm2GTrup02YYxDV1UY5R9oCRrkUyaFoiPE9QsV0qjkd1/mI5HlXn7HWn1lfm7zu1ruJ4ZErWQng0U6hStr3XPU/Q0GgImzSGTda3RmgM+2gMmzSETJojPvrqQ0T88tdGkiRJkq52ruNgl0tY5SJWuVS7lApU8nkqhSyVfI5KIUcln6NayFHO57BKhTfcl6IotcAkHMUXChGIxok2tWD4gxg+P0YggOELYPgDGH5/bblw+/R6Vbs83yFcx8MqOVRLDlbZOX295GCVXarl+eBovvdRteTgWK//XgSgGeoZAZFBrCV4+vZ8oFQLknR8QR31Lf7xJjwPUcgj5mbxxrNUZ2YWeia5yTG85BjezPRZj1FiMbT2Toz1G1Hv60Br70TrqC2VWIxEIiRPYt+C4znk7dz8JU++mqFQTFIoTZIvTVOozpK3suSdPCW3TPnU0DTEQogkzgwbVCAEhELzV868SyVmxkn4EiTMOgZ8CRJ6giatkXoSJEgQ9yJERIiQ60ezVKi6iIoLWReqLmrZxZktw5nf0zUFJe5DqTOh34SEBnENYgoiIAAHT9gIUcQTGWx7Cmt2DMs6SXU+SLKsCeB0rxxFMTHNDkyz4/9v7+5jpLoK/49/zrl3HnZmlqV0QX8tlGxb+y2YGGjzlaqUVq1GiK2SVEGFRghpa221JRqIptLWhbqJRmNoyJdQgwHT2JroH1UTW2tKbIFEDMZiffgqX0isD9CWZXd2d+7T+f1xZ2cf2EUow87M8n4lN/dhzp25c86ZOTOfvXNXpeJ/K5u9StncXOWy85TJXDHh2UjOOQVBRQMDgYLgpIKgoiCoqFIJasvpekVxPPFZfOcqSRKdOvWm3njjdUVRehH8iudLnW9TckWXKgsWq9zWrlOZbC1QqgVJ5Vgqn1abNboyk9GVWV+LC3ldcZGCJABn4hpNLWD3weN64tf/95b396xR3re6rJDR7GJWnaPCo9FBUmcpq2KWEAnnjr/QTD+06fRCe7a+OAzGnFGUMaHePPlmelbRcHhUDZJq6wPpehwGk9+xMcoVS8pXw6N8+8g8V5qhtvaO2nK+NEO5QnHKzjByzikOE4WVRFEQKwqq88rIcjgUjwuR4mqIlE6ThUaS5PlG2YKvXCENh/LFjHLV4ChX9JUvjazni37tottnHGcYyvX2Kjndq6T3lFxvr9zpXiWj5knvKbnTvbVyrq9vzBlJw8ysWWmAdOXcWohk586Vd+Vc2fYZZ62vS+V17pzTYDyg3qBXp4JT6q1Ow8ung1PqHzqpvsob6gtOqy/qV188pAGd/SdP7XGiy2Kj2UlBHSqq3ZRUsjNUtB1q8zpU8C5T3p+pvDdTeRWUc1llXUa5JKNM4iuTePJiI5MEkqvIRQNKogHF0YBcPKjEDcl5FSVeoMSrVJfTdedVlPgVJZlAzg+U+IGUCZXYWPJiORvJmXRKkkDORdJ/eD6jWduujH+FPP8KWfN2GfM2Oc1WEncqjkuK41hhGCkMQ0VRWJsHYajBINBgGGggDDUYRRoMI1WSWLHxFFtbmxJjFdvqNmOVeL5MNiNjJ37dnHN7G6ug1K6BQrt6s3mdNFb94761pkGSPypAytTWr8z46miSIOlSeY1eKmjPEdPmGk1JkuiRRx7Rn/70J2WzWXV3d2v+/PmNPqyL7j1ds2QznlyUKOdbZX2rvG+VGzN5teV8tczwdp8LbwMA0BTiMEzPIhp1JlHtzKLacnrGUaW/T+HQ4KT3ZT1P2baiMm0FZQtFZfNtKsycla63FZVta6vOC2PK5dtnKFcoyXrn90UwSZySKFEcOcVRojhM0vWwui1MatvjaNS22nqiOEz3HR0aRcG49TCRzuHPoMZImTZfuTZf2YKnto70p2rZNj+dCukZRtlCWiaTk7ImkhcHcpUhuYEBuYFyOi+X5U4NyL1WVjK8bWBAA+Xh5f7aNlcuyw0OSMFZgrxcTrZjpkxHh+yMDtl3vE2ZGR21ddMxU7ajQ/byTtkrr5QtFCe/r1aTxFIcyMRDctGgwrCsKEyDlzAaUFQNYYJoUFE8pCgaUhANqj8oqzcaUF84oNPxkE7HgfqSUP1xpD4l6k+cEmNknZXnrKxG5hlndFnkqTPO6Oo4r5lxu2a4nEpJRgVTUN4UlLUFZU1ennLyTFbGeZIzckks5xLJRNUwaEixP6jYG1TsDynxjyqOh5T4g0r8IcXekAb8IfV7FTk/DZHkn/nTUScpkVUkvzplasuhyyl0bYpcXqHyCt0MBS6n0OUUK6co8hRFvmLnKXLpPrHz0nV5iuUpcp5i2XS7PEWy1e1WYZJREGcVyVdirWJjqvM0GEqsVWKCalCUUWJyinNWSVs1ODImfYE12HCQdFU2o5su4k/bANRfSwVNzz//vIIg0A9/+EMdPnxY3/jGN7Rjx45GH9ZF919zSlpy3RySUwAA6sgliZI4UhxFiqNQSRQpqS7X1uNIcZguR2FFcRAoCoOReRgoCtJ5ulxRHIbVMpVqmVBxECgYLE8aHFnPq509lG+fofbOOcqX2pVv71Cu2K5cqV3ZtnZd1jlLA4NGXiYv53wl8ZkBTxI5RcPLYaKBPqe+N4bDnkhJ9Lri6ISS2KVTlCiuzpPIKY7TeRKnYdHw/FzCn7PxvLGT7zv51invOXnZRH7eyTOxfJvIN7E8E8tTLN9E8l0kT6GsC+S7UF5ckR+UZYKKXN+Q3MkhuUpFbmhIqgylQdJQOtdQJb0weRyr9knqP303bWuTLRRlCgWZQptMsSg7820y+YJMsSDTls7VXpItFWVnFGUKbVIpL1PMK8kYJXEgl4RKklBxHCh0oVwcKnah5MpK4l5Fyf8qPh4qdmlfi1ysKAmVJLHiOFacRGnAl8RKkkRxkihxSdp3E6ckcfK8NMB0Lg3oXJLIuETpipMSJyNX+09bRpISSabaoM7JyMrISDIyLg0ZjJOMsem2aoUNlzO1rcPLqm1JlIYaMlbOSDJGTumyU3qha2eMnFFtOTZGscnI2XZlbUmX+bE6rFNsnRKTKDFOiXVKrJQo3e6MU2KUbjeqTlYn5enf1TAmnZxiDSlWqFj9SsbcNnZKbyspUUd1m1Xs/HTZ+YqHA5/aPultSWyr+9v0jB/jKTLe5GFNnbIRzzlZuepc8uTkKf2C50nKGCljjLIyyliTLlurjDHKeVYZY5X1rHKep6y18k1aJmOMssYoa0ctG02wLZ0ydux61pgL/q9pRlLBGoIkoEW1VNB06NAh3XzzzZKkRYsW6ZVXXmnwEU2N//nxdu2f+/8afRhTg7Hkgkz+HaCJK9ZM21/vnhfXzG30Fgw/n5HWHbduzCTlLry3nluPml71jSmUrU5FKf0q11adRvep8b3wQvvbgJQMSOV/SeVz3MWvTvmxm52MZNJXnqtuSV+PbtSh1m4Zd+h1er8+p+oYFYrUZKrTxO+Z5/M+OvLeM/n9jL/tbPtIoZwiqb9Pql3mavz+UtpnPA03TBoBmep9VpdtdfLTYGZ8udHHMfpYJlueeNvoshr1+Oe2rHHH42SUyMqZ5v3HMMYl1VCmOleSBjPOyRpVAxonKyNPVt7w3BhlJOWt5BkjX0aeqS5XJ8+oOrfK2jTMyVqrbDXQydo0yMl5nnLWVkMf1UKd0dNlM9o02D+kjEbfbzr3ZeRXH9uTCGEANK2WCpr6+/tVKo38a1bP8xRFkXx/4qfheUYzZxam6vAumjfzvl7Lzbng+zmnj4eOAauVmHNr1fMu25wuhb7Z6m2UGvkaMqy67satjytfz7jp3Pr79KhvXEzT833HOFcLHWq50kQvBzccQFXr4aK8ZMYHdBf42j/LpUcnu+cz34PMGe8htUjHjd/nXB9j1EOYsVutq8Y4ZuT4R2Kn0fPqHiad21H3YpSeGTT63CMz+lYz8njmjG3pWSOmGjqa2nr1HCUzZq90Xr3dDj8HY0YCmlr4YtNtxso3VtakZ8z41kuDGpue9ZIxNg16jJVXDXNGJjtquXqbHXkMa4x8a+RZo4y1yvkZ5TK+2jIZZX1fWWvlVQMd2yKhjOdZxcX8fy6IluF5dlp8J0WK9jw3LRU0lUollcsjf8pLkmTSkEmS4thNi5+bbV5+r77BRcfQhLgY3vRDm04vtOf0Q5tiPPrEOImkSiJVAg1fRWvyK501H9pz+qFNpxfac8TZLgbevOe3TuCGG27Qvn37JEmHDx/Wdddd1+AjAgAAAAAAwLCWOqPpQx/6kF566SWtXr1aaCdy+AAACxlJREFUzjlt27at0YcEAAAAAACAqpYKmqy1euyxxxp9GAAAAAAAAJhAS/10DgAAAAAAAM2LoAkAAAAAAAB1QdAEAAAAAACAuiBoAgAAAAAAQF0QNAEAAAAAAKAuCJoAAAAAAABQFwRNAAAAAAAAqAuCJgAAAAAAANQFQRMAAAAAAADqgqAJAAAAAAAAdUHQBAAAAAAAgLogaAIAAAAAAEBdEDQBAAAAAACgLgiaAAAAAAAAUBcETQAAAAAAAKgLgiYAAAAAAADUBUETAAAAAAAA6oKgCQAAAAAAAHVB0AQAAAAAAIC6IGgCAAAAAABAXRjnnGv0QQAAAAAAAKD1cUYTAAAAAAAA6oKgCQAAAAAAAHVB0AQAAAAAAIC6IGgCAAAAAABAXRA0AQAAAAAAoC4ImgAAAAAAAFAXfqMPoNWFYaivfOUr+vvf/64gCPS5z31O1157rTZv3ixjjN7xjndoy5YtstZq9+7d+ulPfypJuuWWW3T//fdraGhIX/7yl/X666+rWCyqp6dHs2bNGvMYZysTx7Eeeugh3XnnnVq2bNkZx7d//3595zvfke/7uvzyy9XT06O2tjb19PTot7/9raIo0qpVq/TJT37y4lcWplQj++Zk/W60w4cPa+vWrfI8T0uXLtX9999fu+3YsWP6/Oc/r2efffbiV1SLaNX2fPzxx3Xo0CFZa7Vp0ybdeOONU1NhLaDZ21SaeIy59957derUKWUyGeVyOe3ateviV1YLaPb25PPA1Gtkn/jNb36jnp4eGWO0bNmyMWPsMMbh89eqbcpYPLFmb0+Jcfh8NHt7XnLjsMMF+dGPfuS6u7udc8698cYb7pZbbnH33HOPO3DggHPOuYcfftj94he/cMePH3crV650URS5OI7dqlWr3Kuvvuq+973vue9+97vOOeeeffZZ9/Wvf/2Mx5iszLFjx9zq1avdrbfe6l588cUJj+/DH/6wO3HihHPOuW9+85vu+9//vtu/f7+77777nHPOVSoVd9ttt7lTp07VsVbQDBrZNyfqd+Pdcccd7tixYy5JErdhwwb3yiuvOOec+/GPf+xWrlzp3vve99a5RlpbK7bnq6++6j7xiU+4JEnc0aNH3cqVK+tfMS2s2dt0sjFm+fLlLkmSOtbE9NDs7cnnganXyD6xcuVKd/z4ceecc2vWrHFHjhw5Y1/G4fPXim3KWDy5Zm9PxuHz0+zteamNw/x07gJ95CMf0Re/+MXauud5OnLkiN797ndLkpYtW6aXX35Zb3/727Vr1y55nidrraIoUi6X06FDh3TzzTfXyu7fv/+Mx5iszMDAgLq7u7VkyZJJj2/Pnj3q7OyUpNpjLl68WNu2bauVieNYvs/JbdNNI/vmRP1utP7+fgVBoKuuukrGGC1durS2b0dHh/bu3Vvn2mh9rdiec+bMUT6fVxAE6u/v531mnGZuU2niMebkyZM6ffq07r33Xn3qU5/Sr371qzrVRutr9vbk88DUa2SfePrppzVv3jyVy2X19/dr5syZY/ZjHH5rWrFNGYsn18ztKTEOn69mb89LbRwmaLpAxWJRpVJJ/f39+sIXvqAHH3xQzjkZY2q39/X1KZPJaNasWXLOqaenRwsXLlRXV5f6+/vV3t4+pux4k5W5/vrrdc0115z1+ObMmSNJeu6553Tw4EF9/OMfVy6XU0dHh8Iw1ObNm7Vq1SoVi8W61QmaQyP75kT9bvx+pVJpzLEO7/v+979fhUKhzrXR+lqxPX3fl7VWy5cv17p167R+/fr6V0wLa+Y2lSYeY8Iw1Pr16/XEE09o+/btevzxx/X666/Xr1JaWLO3J58Hpl4j+4Tv+zp8+LBuv/12dXZ2nvHzD8bht6YV25SxeHLN3J4S4/D5avb2vNTGYYKmOvjHP/6hu+66Sx/72Md0++23y9qRai2Xy5oxY4YkqVKp6Etf+pLK5bK2bNkiSSqVSiqXy2PKHjt2TGvXrtXatWv1zDPPTFhmMnv37q3t+69//UuStHv3bj355JPatWtX7a+cvb292rBhg6655hrdc8899a8UNIVG9s3x/W5034zjuLbfRPtiYq3Wnj/5yU/U2dmp5557Tr/85S+1ffv22vsSUs3appO1U2dnp1avXl27vsCCBQt09OjRi1I3rajZ25PPA1OvkX1i0aJFeuGFF7Rw4ULt3LmTcbhOWq1NGYvPrlnbk3H4rWn29ryUxuHpcV5WA508eVLr16/X1772Nb3nPe+RJC1cuFAHDx7UkiVLtG/fPt10001yzum+++7TkiVLdPfdd9f2v+GGG/Tiiy/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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ans.columns[2:]:\n",
    "    fig = plt.figure(figsize=(20,10))\n",
    "    plt.title(i, fontsize=28)\n",
    "    sns.lineplot(x=ans.Date, y = i,hue=\"Country/Region\", data=ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yGSDI8rSpB-q"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Data_Visualization_HW2.ipynb",
   "provenance": []
  },
  "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": "3.6.5"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}