EDA Covid confirmados.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Análisis exploratorio de datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para este análisis usamos el dataset \"csse_covid_19_time_series\" de *Daily reports (csse_covid_19_daily_reports)* en el link https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series \n",
    "\n",
    "Este es el repositorio de datos para el 2019 Novel Coronavirus Visual Dashboard operado por el Centro de Ciencias e Ingeniería de Sistemas de la Universidad Johns Hopkins (JHU CSSE). Además, con el apoyo del equipo de ESRI Living Atlas y el Laboratorio de Física Aplicada de la Universidad Johns Hopkins (JHU APL)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Leemos el conjunto de datos de casos confirmado utilizando su url, para tener el dataFrame siempre actualizado\n",
    "# estos datos son actualizados diariamente\n",
    "confirmados = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entendiendo el conjunto de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country/Region</th>\n",
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       "      <td>1.2833</td>\n",
       "      <td>103.8333</td>\n",
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       "      <td>178</td>\n",
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       "      <td>212</td>\n",
       "      <td>226</td>\n",
       "      <td>243</td>\n",
       "      <td>266</td>\n",
       "      <td>313</td>\n",
       "      <td>345</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>28.1667</td>\n",
       "      <td>84.2500</td>\n",
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       "      <td>4</td>\n",
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       "      <td>112.5000</td>\n",
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       "      <td>428</td>\n",
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       "      <td>673</td>\n",
       "      <td>790</td>\n",
       "      <td>900</td>\n",
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       "<p>5 rows × 62 columns</p>\n",
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       "  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  ...  3/10/20  3/11/20  3/12/20  3/13/20  \\\n",
       "0        7        8        8  ...       53       59       70       75   \n",
       "1        2        4        4  ...      581      639      639      701   \n",
       "2        3        4        5  ...      160      178      178      200   \n",
       "3        1        1        1  ...        1        1        1        1   \n",
       "4        3        4        4  ...      129      149      149      197   \n",
       "\n",
       "   3/14/20  3/15/20  3/16/20  3/17/20  3/18/20  3/19/20  \n",
       "0       82      114      147      177      212      272  \n",
       "1      773      839      825      878      889      924  \n",
       "2      212      226      243      266      313      345  \n",
       "3        1        1        1        1        1        1  \n",
       "4      238      428      566      673      790      900  \n",
       "\n",
       "[5 rows x 62 columns]"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmados.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(468, 62)"
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     "execution_count": 4,
     "metadata": {},
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   "source": [
    "confirmados.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Province/State', 'Country/Region', 'Lat', 'Long', '1/22/20', '1/23/20',\n",
       "       '1/24/20', '1/25/20', '1/26/20', '1/27/20', '1/28/20', '1/29/20',\n",
       "       '1/30/20', '1/31/20', '2/1/20', '2/2/20', '2/3/20', '2/4/20', '2/5/20',\n",
       "       '2/6/20', '2/7/20', '2/8/20', '2/9/20', '2/10/20', '2/11/20', '2/12/20',\n",
       "       '2/13/20', '2/14/20', '2/15/20', '2/16/20', '2/17/20', '2/18/20',\n",
       "       '2/19/20', '2/20/20', '2/21/20', '2/22/20', '2/23/20', '2/24/20',\n",
       "       '2/25/20', '2/26/20', '2/27/20', '2/28/20', '2/29/20', '3/1/20',\n",
       "       '3/2/20', '3/3/20', '3/4/20', '3/5/20', '3/6/20', '3/7/20', '3/8/20',\n",
       "       '3/9/20', '3/10/20', '3/11/20', '3/12/20', '3/13/20', '3/14/20',\n",
       "       '3/15/20', '3/16/20', '3/17/20', '3/18/20', '3/19/20'],\n",
       "      dtype='object')"
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   "cell_type": "code",
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    {
     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 468 entries, 0 to 467\n",
      "Data columns (total 62 columns):\n",
      "Province/State    322 non-null object\n",
      "Country/Region    468 non-null object\n",
      "Lat               468 non-null float64\n",
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      "1/27/20           468 non-null int64\n",
      "1/28/20           468 non-null int64\n",
      "1/29/20           468 non-null int64\n",
      "1/30/20           468 non-null int64\n",
      "1/31/20           468 non-null int64\n",
      "2/1/20            468 non-null int64\n",
      "2/2/20            468 non-null int64\n",
      "2/3/20            468 non-null int64\n",
      "2/4/20            468 non-null int64\n",
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      "2/24/20           468 non-null int64\n",
      "2/25/20           468 non-null int64\n",
      "2/26/20           468 non-null int64\n",
      "2/27/20           468 non-null int64\n",
      "2/28/20           468 non-null int64\n",
      "2/29/20           468 non-null int64\n",
      "3/1/20            468 non-null int64\n",
      "3/2/20            468 non-null int64\n",
      "3/3/20            468 non-null int64\n",
      "3/4/20            468 non-null int64\n",
      "3/5/20            468 non-null int64\n",
      "3/6/20            468 non-null int64\n",
      "3/7/20            468 non-null int64\n",
      "3/8/20            468 non-null int64\n",
      "3/9/20            468 non-null int64\n",
      "3/10/20           468 non-null int64\n",
      "3/11/20           468 non-null int64\n",
      "3/12/20           468 non-null int64\n",
      "3/13/20           468 non-null int64\n",
      "3/14/20           468 non-null int64\n",
      "3/15/20           468 non-null int64\n",
      "3/16/20           468 non-null int64\n",
      "3/17/20           468 non-null int64\n",
      "3/18/20           468 non-null int64\n",
      "3/19/20           468 non-null int64\n",
      "dtypes: float64(2), int64(58), object(2)\n",
      "memory usage: 226.8+ KB\n"
     ]
    }
   ],
   "source": [
    "confirmados.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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       "      <td>18.0708</td>\n",
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       "      <td>340</td>\n",
       "      <td>Washington County, OR</td>\n",
       "      <td>US</td>\n",
       "      <td>45.5470</td>\n",
       "      <td>-123.1386</td>\n",
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       "      <td>4</td>\n",
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       "      <td>Malaysia</td>\n",
       "      <td>2.5000</td>\n",
       "      <td>112.5000</td>\n",
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       "      <td>Douglas County, NE</td>\n",
       "      <td>US</td>\n",
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       "      <td>Guizhou</td>\n",
       "      <td>China</td>\n",
       "      <td>26.8154</td>\n",
       "      <td>106.8748</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "      <td>147</td>\n",
       "      <td>146</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>187</td>\n",
       "      <td>Xinjiang</td>\n",
       "      <td>China</td>\n",
       "      <td>41.1129</td>\n",
       "      <td>85.2401</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>347</td>\n",
       "      <td>King County, WA</td>\n",
       "      <td>US</td>\n",
       "      <td>47.6062</td>\n",
       "      <td>-122.3321</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>...</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Norway</td>\n",
       "      <td>60.4720</td>\n",
       "      <td>8.4689</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>400</td>\n",
       "      <td>598</td>\n",
       "      <td>702</td>\n",
       "      <td>996</td>\n",
       "      <td>1090</td>\n",
       "      <td>1221</td>\n",
       "      <td>1333</td>\n",
       "      <td>1463</td>\n",
       "      <td>1550</td>\n",
       "      <td>1746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>6.6111</td>\n",
       "      <td>20.9394</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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>31.7917</td>\n",
       "      <td>-7.0926</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>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>49</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>337</td>\n",
       "      <td>Sonoma County, CA</td>\n",
       "      <td>US</td>\n",
       "      <td>38.5780</td>\n",
       "      <td>-122.9888</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>280</td>\n",
       "      <td>Montgomery County, PA</td>\n",
       "      <td>US</td>\n",
       "      <td>40.2290</td>\n",
       "      <td>-75.3879</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>401</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>5.0000</td>\n",
       "      <td>-58.7500</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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>346</td>\n",
       "      <td>Los Angeles, CA</td>\n",
       "      <td>US</td>\n",
       "      <td>34.0522</td>\n",
       "      <td>-118.2437</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>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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>219</td>\n",
       "      <td>Gregg, TX</td>\n",
       "      <td>US</td>\n",
       "      <td>32.4893</td>\n",
       "      <td>-94.8521</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>263</td>\n",
       "      <td>Hendricks County, IN</td>\n",
       "      <td>US</td>\n",
       "      <td>39.8065</td>\n",
       "      <td>-86.5401</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Holy See</td>\n",
       "      <td>41.9029</td>\n",
       "      <td>12.4534</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>370</td>\n",
       "      <td>Polk, OR</td>\n",
       "      <td>US</td>\n",
       "      <td>44.9267</td>\n",
       "      <td>-123.4919</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</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>300</td>\n",
       "      <td>Douglas County, CO</td>\n",
       "      <td>US</td>\n",
       "      <td>39.2587</td>\n",
       "      <td>-104.9389</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</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 62 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Province/State            Country/Region      Lat      Long  \\\n",
       "455                  Aruba               Netherlands  12.5186  -70.0358   \n",
       "198              St Martin                    France  18.0708  -63.0501   \n",
       "340  Washington County, OR                        US  45.5470 -123.1386   \n",
       "4                      NaN                  Malaysia   2.5000  112.5000   \n",
       "304     Douglas County, NE                        US  41.3148  -96.1951   \n",
       "179                Guizhou                     China  26.8154  106.8748   \n",
       "187               Xinjiang                     China  41.1129   85.2401   \n",
       "347        King County, WA                        US  47.6062 -122.3321   \n",
       "39                     NaN                    Norway  60.4720    8.4689   \n",
       "435                    NaN  Central African Republic   6.6111   20.9394   \n",
       "63                     NaN                   Morocco  31.7917   -7.0926   \n",
       "337      Sonoma County, CA                        US  38.5780 -122.9888   \n",
       "280  Montgomery County, PA                        US  40.2290  -75.3879   \n",
       "401                    NaN                    Guyana   5.0000  -58.7500   \n",
       "346        Los Angeles, CA                        US  34.0522 -118.2437   \n",
       "219              Gregg, TX                        US  32.4893  -94.8521   \n",
       "263   Hendricks County, IN                        US  39.8065  -86.5401   \n",
       "134                    NaN                  Holy See  41.9029   12.4534   \n",
       "370               Polk, OR                        US  44.9267 -123.4919   \n",
       "300     Douglas County, CO                        US  39.2587 -104.9389   \n",
       "\n",
       "     1/22/20  1/23/20  1/24/20  1/25/20  1/26/20  1/27/20  ...  3/10/20  \\\n",
       "455        0        0        0        0        0        0  ...        0   \n",
       "198        0        0        0        0        0        0  ...        2   \n",
       "340        0        0        0        0        0        0  ...        0   \n",
       "4          0        0        0        3        4        4  ...      129   \n",
       "304        0        0        0        0        0        0  ...        0   \n",
       "179        1        3        3        4        5        7  ...      146   \n",
       "187        0        2        2        3        4        5  ...       76   \n",
       "347        1        1        1        1        1        1  ...        0   \n",
       "39         0        0        0        0        0        0  ...      400   \n",
       "435        0        0        0        0        0        0  ...        0   \n",
       "63         0        0        0        0        0        0  ...        3   \n",
       "337        0        0        0        0        0        0  ...        0   \n",
       "280        0        0        0        0        0        0  ...        0   \n",
       "401        0        0        0        0        0        0  ...        0   \n",
       "346        0        0        0        0        1        1  ...        0   \n",
       "219        0        0        0        0        0        0  ...        0   \n",
       "263        0        0        0        0        0        0  ...        0   \n",
       "134        0        0        0        0        0        0  ...        1   \n",
       "370        0        0        0        0        0        0  ...        0   \n",
       "300        0        0        0        0        0        0  ...        0   \n",
       "\n",
       "     3/11/20  3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  3/17/20  3/18/20  \\\n",
       "455        0        0        2        2        2        2        3        4   \n",
       "198        2        2        2        2        2        2        2        3   \n",
       "340        0        0        0        0        0        0        0        0   \n",
       "4        149      149      197      238      428      566      673      790   \n",
       "304        0        0        0        0        0        0        0        0   \n",
       "179      146      146      146      146      146      146      147      146   \n",
       "187       76       76       76       76       76       76       76       76   \n",
       "347        0        0        0        0        0        0        0        0   \n",
       "39       598      702      996     1090     1221     1333     1463     1550   \n",
       "435        0        0        0        0        1        1        1        1   \n",
       "63         5        6        7       17       28       29       38       49   \n",
       "337        0        0        0        0        0        0        0        0   \n",
       "280        0        0        0        0        0        0        0        0   \n",
       "401        0        1        1        1        4        4        7        7   \n",
       "346        0        0        0        0        0        0        0        0   \n",
       "219        0        0        0        0        0        0        0        0   \n",
       "263        0        0        0        0        0        0        0        0   \n",
       "134        1        1        1        1        1        1        1        1   \n",
       "370        0        0        0        0        0        0        0        0   \n",
       "300        0        0        0        0        0        0        0        0   \n",
       "\n",
       "     3/19/20  \n",
       "455        4  \n",
       "198        4  \n",
       "340        0  \n",
       "4        900  \n",
       "304        0  \n",
       "179      146  \n",
       "187       76  \n",
       "347        0  \n",
       "39      1746  \n",
       "435        1  \n",
       "63        63  \n",
       "337        0  \n",
       "280        0  \n",
       "401        7  \n",
       "346        0  \n",
       "219        0  \n",
       "263        0  \n",
       "134        1  \n",
       "370        0  \n",
       "300        0  \n",
       "\n",
       "[20 rows x 62 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmados.sample(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0            Thailand\n",
       "1               Japan\n",
       "2           Singapore\n",
       "3               Nepal\n",
       "4            Malaysia\n",
       "            ...      \n",
       "463    United Kingdom\n",
       "464              Chad\n",
       "465       El Salvador\n",
       "466              Fiji\n",
       "467         Nicaragua\n",
       "Name: Country/Region, Length: 468, dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmados['Country/Region']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "last_date = confirmados['3/19/20']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      212\n",
       "1      889\n",
       "2      313\n",
       "3        1\n",
       "4      790\n",
       "      ... \n",
       "463      0\n",
       "464      0\n",
       "465      0\n",
       "466      0\n",
       "467      0\n",
       "Name: 3/18/20, Length: 468, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Thailand', 'Japan', 'Singapore', 'Nepal', 'Malaysia', 'Canada',\n",
       "       'Australia', 'Cambodia', 'Sri Lanka', 'Germany', 'Finland',\n",
       "       'United Arab Emirates', 'Philippines', 'India', 'Italy', 'Sweden',\n",
       "       'Spain', 'Belgium', 'Egypt', 'Lebanon', 'Iraq', 'Oman',\n",
       "       'Afghanistan', 'Bahrain', 'Kuwait', 'Algeria', 'Croatia',\n",
       "       'Switzerland', 'Austria', 'Israel', 'Pakistan', 'Brazil',\n",
       "       'Georgia', 'Greece', 'North Macedonia', 'Norway', 'Romania',\n",
       "       'Estonia', 'San Marino', 'Belarus', 'Iceland', 'Lithuania',\n",
       "       'Mexico', 'New Zealand', 'Nigeria', 'Ireland', 'Luxembourg',\n",
       "       'Monaco', 'Qatar', 'Ecuador', 'Azerbaijan', 'Armenia',\n",
       "       'Dominican Republic', 'Indonesia', 'Portugal', 'Andorra', 'Latvia',\n",
       "       'Morocco', 'Saudi Arabia', 'Senegal', 'Argentina', 'Chile',\n",
       "       'Jordan', 'Ukraine', 'Hungary', 'Liechtenstein', 'Poland',\n",
       "       'Tunisia', 'Bosnia and Herzegovina', 'Slovenia', 'South Africa',\n",
       "       'Bhutan', 'Cameroon', 'Colombia', 'Costa Rica', 'Peru', 'Serbia',\n",
       "       'Slovakia', 'Togo', 'Malta', 'Martinique', 'Bulgaria', 'Maldives',\n",
       "       'Bangladesh', 'Paraguay', 'Albania', 'Cyprus', 'Brunei', 'US',\n",
       "       'Burkina Faso', 'Holy See', 'Mongolia', 'Panama', 'China', 'Iran',\n",
       "       'Korea, South', 'France', 'Cruise Ship', 'Denmark', 'Czechia',\n",
       "       'Taiwan*', 'Vietnam', 'Russia', 'Moldova', 'Bolivia', 'Honduras',\n",
       "       'United Kingdom', 'Congo (Kinshasa)', \"Cote d'Ivoire\", 'Jamaica',\n",
       "       'Turkey', 'Cuba', 'Guyana', 'Kazakhstan', 'Ethiopia', 'Sudan',\n",
       "       'Guinea', 'Kenya', 'Antigua and Barbuda', 'Uruguay', 'Ghana',\n",
       "       'Namibia', 'Seychelles', 'Trinidad and Tobago', 'Venezuela',\n",
       "       'Eswatini', 'Gabon', 'Guatemala', 'Mauritania', 'Rwanda',\n",
       "       'Saint Lucia', 'Saint Vincent and the Grenadines', 'Suriname',\n",
       "       'Kosovo', 'Central African Republic', 'Congo (Brazzaville)',\n",
       "       'Equatorial Guinea', 'Uzbekistan', 'Netherlands', 'Benin',\n",
       "       'Liberia', 'Somalia', 'Tanzania', 'Barbados', 'Montenegro',\n",
       "       'Kyrgyzstan', 'Mauritius', 'Zambia', 'Djibouti', 'Gambia, The',\n",
       "       'Bahamas, The', 'Chad', 'El Salvador', 'Fiji', 'Nicaragua'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmados['Country/Region'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'British Columbia', 'New South Wales', 'Victoria',\n",
       "       'Queensland', 'South Australia', 'From Diamond Princess',\n",
       "       'Western Australia', 'Tasmania', 'Northern Territory', 'Ontario',\n",
       "       'Alberta', 'Quebec', 'Washington', 'New York', 'California',\n",
       "       'Massachusetts', 'Diamond Princess', 'Grand Princess', 'Georgia',\n",
       "       'Colorado', 'Florida', 'New Jersey', 'Oregon', 'Texas', 'Illinois',\n",
       "       'Pennsylvania', 'Iowa', 'Maryland', 'North Carolina',\n",
       "       'South Carolina', 'Tennessee', 'Virginia', 'Arizona', 'Indiana',\n",
       "       'Kentucky', 'District of Columbia', 'Nevada', 'New Hampshire',\n",
       "       'Minnesota', 'Nebraska', 'Ohio', 'Rhode Island', 'Wisconsin',\n",
       "       'Connecticut', 'Hawaii', 'Oklahoma', 'Utah', 'Kansas', 'Louisiana',\n",
       "       'Missouri', 'Vermont', 'Alaska', 'Arkansas', 'Delaware', 'Idaho',\n",
       "       'Maine', 'Michigan', 'Mississippi', 'Montana', 'New Mexico',\n",
       "       'North Dakota', 'South Dakota', 'West Virginia', 'Wyoming',\n",
       "       'Hubei', 'France', 'Guangdong', 'Henan', 'Zhejiang', 'Hunan',\n",
       "       'Anhui', 'Jiangxi', 'Shandong', 'Jiangsu', 'Chongqing', 'Sichuan',\n",
       "       'Heilongjiang', 'Denmark', 'Beijing', 'Shanghai', 'Hebei',\n",
       "       'Fujian', 'Guangxi', 'Shaanxi', 'Yunnan', 'Hainan', 'Guizhou',\n",
       "       'Tianjin', 'Shanxi', 'Gansu', 'Hong Kong', 'Liaoning', 'Jilin',\n",
       "       'Xinjiang', 'Inner Mongolia', 'Ningxia', 'Qinghai', 'Macau',\n",
       "       'Faroe Islands', 'St Martin', 'Channel Islands', 'New Brunswick',\n",
       "       'Tibet', 'Saint Barthelemy', 'Gibraltar', 'Kitsap, WA',\n",
       "       'Solano, CA', 'Santa Cruz, CA', 'Napa, CA', 'Ventura, CA',\n",
       "       'Worcester, MA', 'Gwinnett, GA', 'DeKalb, GA', 'Floyd, GA',\n",
       "       'Fayette, GA', 'Gregg, TX', 'Monmouth, NJ', 'Burlington, NJ',\n",
       "       'Camden, NJ', 'Passaic, NJ', 'Union, NJ', 'Eagle, CO',\n",
       "       'Larimer, CO', 'Arapahoe, CO', 'Gunnison, CO', 'Kane, IL',\n",
       "       'Monroe, PA', 'Philadelphia, PA', 'Norfolk, VA', 'Arlington, VA',\n",
       "       'Spotsylvania, VA', 'Loudoun, VA', \"Prince George's, MD\",\n",
       "       'Pottawattamie, IA', 'Camden, NC', 'Pima, AZ', 'Noble, IN',\n",
       "       'Adams, IN', 'Boone, IN', 'Dane, WI', 'Pierce, WI', 'Cuyahoga, OH',\n",
       "       'Weber, UT', 'Bennington County, VT', 'Carver County, MN',\n",
       "       'Charlotte County, FL', 'Cherokee County, GA', 'Collin County, TX',\n",
       "       'Jefferson County, KY', 'Jefferson Parish, LA',\n",
       "       'Shasta County, CA', 'Spartanburg County, SC',\n",
       "       'Harrison County, KY', 'Johnson County, IA',\n",
       "       'Berkshire County, MA', 'Davidson County, TN',\n",
       "       'Douglas County, OR', 'Fresno County, CA', 'Harford County, MD',\n",
       "       'Hendricks County, IN', 'Hudson County, NJ', 'Johnson County, KS',\n",
       "       'Kittitas County, WA', 'Manatee County, FL', 'Marion County, OR',\n",
       "       'Okaloosa County, FL', 'Polk County, GA', 'Riverside County, CA',\n",
       "       'Shelby County, TN', 'St. Louis County, MO', 'Suffolk County, NY',\n",
       "       'Ulster County, NY', 'Volusia County, FL', 'Fairfax County, VA',\n",
       "       'Rockingham County, NH', 'Washington, D.C.',\n",
       "       'Montgomery County, PA', 'Alameda County, CA',\n",
       "       'Broward County, FL', 'Lee County, FL', 'Pinal County, AZ',\n",
       "       'Rockland County, NY', 'Saratoga County, NY',\n",
       "       'Charleston County, SC', 'Clark County, WA', 'Cobb County, GA',\n",
       "       'Davis County, UT', 'El Paso County, CO', 'Honolulu County, HI',\n",
       "       'Jackson County, OR ', 'Jefferson County, WA',\n",
       "       'Kershaw County, SC', 'Klamath County, OR', 'Madera County, CA',\n",
       "       'Pierce County, WA', 'Tulsa County, OK', 'Douglas County, CO',\n",
       "       'Providence County, RI', 'Chatham County, NC',\n",
       "       'Delaware County, PA', 'Douglas County, NE', 'Fayette County, KY',\n",
       "       'Marion County, IN', 'Middlesex County, MA', 'Nassau County, NY',\n",
       "       'Ramsey County, MN', 'Washoe County, NV', 'Wayne County, PA',\n",
       "       'Yolo County, CA', 'Santa Clara County, CA', 'Clark County, NV',\n",
       "       'Fort Bend County, TX', 'Grant County, WA',\n",
       "       'Santa Rosa County, FL', 'Williamson County, TN',\n",
       "       'New York County, NY', 'Montgomery County, MD',\n",
       "       'Suffolk County, MA', 'Denver County, CO', 'Summit County, CO',\n",
       "       'Bergen County, NJ', 'Harris County, TX',\n",
       "       'San Francisco County, CA', 'Contra Costa County, CA',\n",
       "       'Orange County, CA', 'Norfolk County, MA', 'Maricopa County, AZ',\n",
       "       'Wake County, NC', 'Westchester County, NY', 'Grafton County, NH',\n",
       "       'Hillsborough, FL', 'Placer County, CA', 'San Mateo, CA',\n",
       "       'Sonoma County, CA', 'Umatilla, OR', 'Fulton County, GA',\n",
       "       'Washington County, OR', 'Snohomish County, WA',\n",
       "       'Humboldt County, CA', 'Sacramento County, CA',\n",
       "       'San Diego County, CA', 'San Benito, CA', 'Los Angeles, CA',\n",
       "       'King County, WA', 'Cook County, IL', 'Skagit, WA', 'Thurston, WA',\n",
       "       'Island, WA', 'Whatcom, WA', 'Marin, CA', 'Calaveras, CA',\n",
       "       'Stanislaus, CA', 'San Joaquin, CA', 'Essex, MA', 'Charlton, GA',\n",
       "       'Collier, FL', 'Pinellas, FL', 'Alachua, FL', 'Nassau, FL',\n",
       "       'Pasco, FL', 'Dallas, TX', 'Tarrant, TX', 'Montgomery, TX',\n",
       "       'Middlesex, NJ', 'Jefferson, CO', 'Multnomah, OR', 'Polk, OR',\n",
       "       'Deschutes, OR', 'McHenry, IL', 'Lake, IL', 'Bucks, PA',\n",
       "       'Hanover, VA', 'Lancaster, SC', 'Sullivan, TN', 'Johnson, IN',\n",
       "       'Howard, IN', 'St. Joseph, IN', 'Knox, NE', 'Stark, OH',\n",
       "       'Anoka, MN', 'Olmsted, MN', 'Summit, UT', 'Fairfield, CT',\n",
       "       'Litchfield, CT', 'Orleans, LA', 'Pennington, SD', 'Beadle, SD',\n",
       "       'Charles Mix, SD', 'Davison, SD', 'Minnehaha, SD', 'Bon Homme, SD',\n",
       "       'Socorro, NM', 'Bernalillo, NM', 'Oakland, MI', 'Wayne, MI',\n",
       "       'New Castle, DE', 'Australian Capital Territory', 'United Kingdom',\n",
       "       'French Polynesia', 'Manitoba', 'Saskatchewan', 'Alabama',\n",
       "       'Puerto Rico', 'French Guiana', 'Guam',\n",
       "       'Newfoundland and Labrador', 'Prince Edward Island', 'Mayotte',\n",
       "       'Netherlands', 'Nova Scotia', 'Guadeloupe', 'Curacao',\n",
       "       'Virgin Islands', 'Cayman Islands', 'Reunion', 'Aruba',\n",
       "       'Montserrat', 'Greenland', 'New Caledonia', 'Bermuda'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmados['Province/State'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Province/State         NaN\n",
       "Country/Region    Thailand\n",
       "Lat                     15\n",
       "Long                   101\n",
       "1/22/20                  2\n",
       "                    ...   \n",
       "3/15/20                114\n",
       "3/16/20                147\n",
       "3/17/20                177\n",
       "3/18/20                212\n",
       "3/19/20                272\n",
       "Name: 0, Length: 62, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizando los datos por el numero de fila usando 'iloc'\n",
    "confirmados.iloc[0]"
   ]
  },
  {
   "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>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>3/10/20</th>\n",
       "      <th>3/11/20</th>\n",
       "      <th>3/12/20</th>\n",
       "      <th>3/13/20</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>-23.4425</td>\n",
       "      <td>-58.4438</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>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 62 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Province/State Country/Region      Lat     Long  1/22/20  1/23/20  1/24/20  \\\n",
       "91            NaN       Paraguay -23.4425 -58.4438        0        0        0   \n",
       "\n",
       "    1/25/20  1/26/20  1/27/20  ...  3/10/20  3/11/20  3/12/20  3/13/20  \\\n",
       "91        0        0        0  ...        1        5        5        6   \n",
       "\n",
       "    3/14/20  3/15/20  3/16/20  3/17/20  3/18/20  3/19/20  \n",
       "91        6        6        8        9       11       11  \n",
       "\n",
       "[1 rows x 62 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filtrando los datos por pais\n",
    "seleccion = confirmados['Country/Region'] == 'Paraguay'\n",
    "confirmados[seleccion]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country/Region    United Kingdom\n",
       "Lat                      16.7425\n",
       "Long                    -62.1874\n",
       "1/22/20                        0\n",
       "1/23/20                        0\n",
       "                       ...      \n",
       "3/15/20                        0\n",
       "3/16/20                        0\n",
       "3/17/20                        0\n",
       "3/18/20                        1\n",
       "3/19/20                        1\n",
       "Name: Montserrat, Length: 61, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Asignando una columna del DataFrame como indice \n",
    "# Visualizando los datos por indice usando 'loc'\n",
    "confirmados.set_index('Province/State').loc['Montserrat']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country/Region    Paraguay\n",
       "Lat               -23.4425\n",
       "Long              -58.4438\n",
       "1/22/20                  0\n",
       "1/23/20                  0\n",
       "                    ...   \n",
       "3/15/20                  6\n",
       "3/16/20                  8\n",
       "3/17/20                  9\n",
       "3/18/20                 11\n",
       "3/19/20                 11\n",
       "Name: nan, Length: 61, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizando los datos de la linea 91\n",
    "confirmados.set_index('Province/State').iloc[91]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "US                                  247\n",
       "China                                33\n",
       "Canada                               11\n",
       "Australia                             9\n",
       "France                                9\n",
       "                                   ... \n",
       "Saint Vincent and the Grenadines      1\n",
       "Kenya                                 1\n",
       "Germany                               1\n",
       "San Marino                            1\n",
       "Fiji                                  1\n",
       "Name: Country/Region, Length: 155, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cantidad de casos por pais\n",
    "# Estos datos no son interesantes por que existen varias filas de un mismo pais\n",
    "confirmados['Country/Region'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></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>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/10/20</th>\n",
       "      <th>3/11/20</th>\n",
       "      <th>3/12/20</th>\n",
       "      <th>3/13/20</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>65.0000</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Albania</td>\n",
       "      <td>41.1533</td>\n",
       "      <td>20.1683</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>...</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>33</td>\n",
       "      <td>38</td>\n",
       "      <td>42</td>\n",
       "      <td>51</td>\n",
       "      <td>55</td>\n",
       "      <td>59</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Algeria</td>\n",
       "      <td>28.0339</td>\n",
       "      <td>1.6596</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>...</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>37</td>\n",
       "      <td>48</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>74</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.5063</td>\n",
       "      <td>1.5218</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>...</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>39</td>\n",
       "      <td>39</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>17.0608</td>\n",
       "      <td>-61.7964</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>...</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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Uruguay</td>\n",
       "      <td>-32.5228</td>\n",
       "      <td>-55.7658</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>29</td>\n",
       "      <td>50</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>41.3775</td>\n",
       "      <td>64.5853</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Venezuela</td>\n",
       "      <td>6.4238</td>\n",
       "      <td>-66.5897</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>17</td>\n",
       "      <td>33</td>\n",
       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Vietnam</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>108.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>31</td>\n",
       "      <td>38</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>53</td>\n",
       "      <td>56</td>\n",
       "      <td>61</td>\n",
       "      <td>66</td>\n",
       "      <td>75</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Zambia</td>\n",
       "      <td>-15.4167</td>\n",
       "      <td>28.2833</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>...</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>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>155 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Lat      Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
       "Country/Region                                                               \n",
       "Afghanistan          33.0000   65.0000        0        0        0        0   \n",
       "Albania              41.1533   20.1683        0        0        0        0   \n",
       "Algeria              28.0339    1.6596        0        0        0        0   \n",
       "Andorra              42.5063    1.5218        0        0        0        0   \n",
       "Antigua and Barbuda  17.0608  -61.7964        0        0        0        0   \n",
       "...                      ...       ...      ...      ...      ...      ...   \n",
       "Uruguay             -32.5228  -55.7658        0        0        0        0   \n",
       "Uzbekistan           41.3775   64.5853        0        0        0        0   \n",
       "Venezuela             6.4238  -66.5897        0        0        0        0   \n",
       "Vietnam              16.0000  108.0000        0        2        2        2   \n",
       "Zambia              -15.4167   28.2833        0        0        0        0   \n",
       "\n",
       "                     1/26/20  1/27/20  1/28/20  1/29/20  ...  3/10/20  \\\n",
       "Country/Region                                           ...            \n",
       "Afghanistan                0        0        0        0  ...        5   \n",
       "Albania                    0        0        0        0  ...       10   \n",
       "Algeria                    0        0        0        0  ...       20   \n",
       "Andorra                    0        0        0        0  ...        1   \n",
       "Antigua and Barbuda        0        0        0        0  ...        0   \n",
       "...                      ...      ...      ...      ...  ...      ...   \n",
       "Uruguay                    0        0        0        0  ...        0   \n",
       "Uzbekistan                 0        0        0        0  ...        0   \n",
       "Venezuela                  0        0        0        0  ...        0   \n",
       "Vietnam                    2        2        2        2  ...       31   \n",
       "Zambia                     0        0        0        0  ...        0   \n",
       "\n",
       "                     3/11/20  3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  \\\n",
       "Country/Region                                                              \n",
       "Afghanistan                7        7        7       11       16       21   \n",
       "Albania                   12       23       33       38       42       51   \n",
       "Algeria                   20       24       26       37       48       54   \n",
       "Andorra                    1        1        1        1        1        2   \n",
       "Antigua and Barbuda        0        0        1        1        1        1   \n",
       "...                      ...      ...      ...      ...      ...      ...   \n",
       "Uruguay                    0        0        0        4        4        8   \n",
       "Uzbekistan                 0        0        0        0        1        6   \n",
       "Venezuela                  0        0        0        2       10       17   \n",
       "Vietnam                   38       39       47       53       56       61   \n",
       "Zambia                     0        0        0        0        0        0   \n",
       "\n",
       "                     3/17/20  3/18/20  3/19/20  \n",
       "Country/Region                                  \n",
       "Afghanistan               22       22       22  \n",
       "Albania                   55       59       64  \n",
       "Algeria                   60       74       87  \n",
       "Andorra                   39       39       53  \n",
       "Antigua and Barbuda        1        1        1  \n",
       "...                      ...      ...      ...  \n",
       "Uruguay                   29       50       79  \n",
       "Uzbekistan                10       15       23  \n",
       "Venezuela                 33       36       42  \n",
       "Vietnam                   66       75       85  \n",
       "Zambia                     0        2        2  \n",
       "\n",
       "[155 rows x 60 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Para tener la frecuencia de casos por pais usar group_by para agrupar por pais y sumar todas las filas correspondientes\n",
    "confirmados.groupby('Country/Region').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "confirmed_by_country = confirmados.groupby('Country/Region').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>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>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>...</th>\n",
       "      <th>3/10/20</th>\n",
       "      <th>3/11/20</th>\n",
       "      <th>3/12/20</th>\n",
       "      <th>3/13/20</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country/Region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>65.0000</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Albania</td>\n",
       "      <td>41.1533</td>\n",
       "      <td>20.1683</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>...</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>33</td>\n",
       "      <td>38</td>\n",
       "      <td>42</td>\n",
       "      <td>51</td>\n",
       "      <td>55</td>\n",
       "      <td>59</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Algeria</td>\n",
       "      <td>28.0339</td>\n",
       "      <td>1.6596</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>...</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>24</td>\n",
       "      <td>26</td>\n",
       "      <td>37</td>\n",
       "      <td>48</td>\n",
       "      <td>54</td>\n",
       "      <td>60</td>\n",
       "      <td>74</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Andorra</td>\n",
       "      <td>42.5063</td>\n",
       "      <td>1.5218</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>...</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>39</td>\n",
       "      <td>39</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>17.0608</td>\n",
       "      <td>-61.7964</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>...</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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Argentina</td>\n",
       "      <td>-38.4161</td>\n",
       "      <td>-63.6167</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>...</td>\n",
       "      <td>17</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>31</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>56</td>\n",
       "      <td>68</td>\n",
       "      <td>79</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Armenia</td>\n",
       "      <td>40.0691</td>\n",
       "      <td>45.0382</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>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>52</td>\n",
       "      <td>78</td>\n",
       "      <td>84</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Australia</td>\n",
       "      <td>-220.5258</td>\n",
       "      <td>1269.5003</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>107</td>\n",
       "      <td>128</td>\n",
       "      <td>128</td>\n",
       "      <td>200</td>\n",
       "      <td>250</td>\n",
       "      <td>297</td>\n",
       "      <td>377</td>\n",
       "      <td>452</td>\n",
       "      <td>568</td>\n",
       "      <td>681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Austria</td>\n",
       "      <td>47.5162</td>\n",
       "      <td>14.5501</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>...</td>\n",
       "      <td>182</td>\n",
       "      <td>246</td>\n",
       "      <td>302</td>\n",
       "      <td>504</td>\n",
       "      <td>655</td>\n",
       "      <td>860</td>\n",
       "      <td>1018</td>\n",
       "      <td>1332</td>\n",
       "      <td>1646</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>40.1431</td>\n",
       "      <td>47.5769</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>...</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Lat       Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
       "Country/Region                                                                 \n",
       "Afghanistan           33.0000    65.0000        0        0        0        0   \n",
       "Albania               41.1533    20.1683        0        0        0        0   \n",
       "Algeria               28.0339     1.6596        0        0        0        0   \n",
       "Andorra               42.5063     1.5218        0        0        0        0   \n",
       "Antigua and Barbuda   17.0608   -61.7964        0        0        0        0   \n",
       "Argentina            -38.4161   -63.6167        0        0        0        0   \n",
       "Armenia               40.0691    45.0382        0        0        0        0   \n",
       "Australia           -220.5258  1269.5003        0        0        0        0   \n",
       "Austria               47.5162    14.5501        0        0        0        0   \n",
       "Azerbaijan            40.1431    47.5769        0        0        0        0   \n",
       "\n",
       "                     1/26/20  1/27/20  1/28/20  1/29/20  ...  3/10/20  \\\n",
       "Country/Region                                           ...            \n",
       "Afghanistan                0        0        0        0  ...        5   \n",
       "Albania                    0        0        0        0  ...       10   \n",
       "Algeria                    0        0        0        0  ...       20   \n",
       "Andorra                    0        0        0        0  ...        1   \n",
       "Antigua and Barbuda        0        0        0        0  ...        0   \n",
       "Argentina                  0        0        0        0  ...       17   \n",
       "Armenia                    0        0        0        0  ...        1   \n",
       "Australia                  4        5        5        6  ...      107   \n",
       "Austria                    0        0        0        0  ...      182   \n",
       "Azerbaijan                 0        0        0        0  ...       11   \n",
       "\n",
       "                     3/11/20  3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  \\\n",
       "Country/Region                                                              \n",
       "Afghanistan                7        7        7       11       16       21   \n",
       "Albania                   12       23       33       38       42       51   \n",
       "Algeria                   20       24       26       37       48       54   \n",
       "Andorra                    1        1        1        1        1        2   \n",
       "Antigua and Barbuda        0        0        1        1        1        1   \n",
       "Argentina                 19       19       31       34       45       56   \n",
       "Armenia                    1        4        8       18       26       52   \n",
       "Australia                128      128      200      250      297      377   \n",
       "Austria                  246      302      504      655      860     1018   \n",
       "Azerbaijan                11       11       15       15       23       15   \n",
       "\n",
       "                     3/17/20  3/18/20  3/19/20  \n",
       "Country/Region                                  \n",
       "Afghanistan               22       22       22  \n",
       "Albania                   55       59       64  \n",
       "Algeria                   60       74       87  \n",
       "Andorra                   39       39       53  \n",
       "Antigua and Barbuda        1        1        1  \n",
       "Argentina                 68       79       97  \n",
       "Armenia                   78       84      115  \n",
       "Australia                452      568      681  \n",
       "Austria                 1332     1646     2013  \n",
       "Azerbaijan                28       28       44  \n",
       "\n",
       "[10 rows x 60 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed_by_country.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
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       "      <td>Uruguay</td>\n",
       "      <td>-32.5228</td>\n",
       "      <td>-55.7658</td>\n",
       "      <td>0</td>\n",
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       "      <td>Uzbekistan</td>\n",
       "      <td>41.3775</td>\n",
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       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Venezuela</td>\n",
       "      <td>6.4238</td>\n",
       "      <td>-66.5897</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>17</td>\n",
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       "      <td>36</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Vietnam</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>108.0000</td>\n",
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       "      <td>31</td>\n",
       "      <td>38</td>\n",
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       "      <td>53</td>\n",
       "      <td>56</td>\n",
       "      <td>61</td>\n",
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       "      <td>75</td>\n",
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      "text/plain": [
       "                    Lat      Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
       "Country/Region                                                          \n",
       "Uruguay        -32.5228  -55.7658        0        0        0        0   \n",
       "Uzbekistan      41.3775   64.5853        0        0        0        0   \n",
       "Venezuela        6.4238  -66.5897        0        0        0        0   \n",
       "Vietnam         16.0000  108.0000        0        2        2        2   \n",
       "Zambia         -15.4167   28.2833        0        0        0        0   \n",
       "\n",
       "                1/26/20  1/27/20  1/28/20  1/29/20  ...  3/10/20  3/11/20  \\\n",
       "Country/Region                                      ...                     \n",
       "Uruguay               0        0        0        0  ...        0        0   \n",
       "Uzbekistan            0        0        0        0  ...        0        0   \n",
       "Venezuela             0        0        0        0  ...        0        0   \n",
       "Vietnam               2        2        2        2  ...       31       38   \n",
       "Zambia                0        0        0        0  ...        0        0   \n",
       "\n",
       "                3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  3/17/20  3/18/20  \\\n",
       "Country/Region                                                                  \n",
       "Uruguay               0        0        4        4        8       29       50   \n",
       "Uzbekistan            0        0        0        1        6       10       15   \n",
       "Venezuela             0        0        2       10       17       33       36   \n",
       "Vietnam              39       47       53       56       61       66       75   \n",
       "Zambia                0        0        0        0        0        0        2   \n",
       "\n",
       "                3/19/20  \n",
       "Country/Region           \n",
       "Uruguay              79  \n",
       "Uzbekistan           23  \n",
       "Venezuela            42  \n",
       "Vietnam              85  \n",
       "Zambia                2  \n",
       "\n",
       "[5 rows x 60 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed_by_country.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\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>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>581</td>\n",
       "      <td>639</td>\n",
       "      <td>639</td>\n",
       "      <td>701</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lebanon</td>\n",
       "      <td>33.8547</td>\n",
       "      <td>35.8623</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>...</td>\n",
       "      <td>41</td>\n",
       "      <td>61</td>\n",
       "      <td>61</td>\n",
       "      <td>77</td>\n",
       "      <td>93</td>\n",
       "      <td>110</td>\n",
       "      <td>99</td>\n",
       "      <td>120</td>\n",
       "      <td>133</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Djibouti</td>\n",
       "      <td>11.8251</td>\n",
       "      <td>42.5903</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>...</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>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Lat      Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
       "Country/Region                                                          \n",
       "Albania         41.1533   20.1683        0        0        0        0   \n",
       "Namibia        -22.9576   18.4904        0        0        0        0   \n",
       "Uzbekistan      41.3775   64.5853        0        0        0        0   \n",
       "Chile          -35.6751  -71.5430        0        0        0        0   \n",
       "Guyana           5.0000  -58.7500        0        0        0        0   \n",
       "Cameroon         3.8480   11.5021        0        0        0        0   \n",
       "Chad            15.4542   18.7322        0        0        0        0   \n",
       "Japan           36.0000  138.0000        2        1        2        2   \n",
       "Lebanon         33.8547   35.8623        0        0        0        0   \n",
       "Djibouti        11.8251   42.5903        0        0        0        0   \n",
       "\n",
       "                1/26/20  1/27/20  1/28/20  1/29/20  ...  3/10/20  3/11/20  \\\n",
       "Country/Region                                      ...                     \n",
       "Albania               0        0        0        0  ...       10       12   \n",
       "Namibia               0        0        0        0  ...        0        0   \n",
       "Uzbekistan            0        0        0        0  ...        0        0   \n",
       "Chile                 0        0        0        0  ...       13       23   \n",
       "Guyana                0        0        0        0  ...        0        0   \n",
       "Cameroon              0        0        0        0  ...        2        2   \n",
       "Chad                  0        0        0        0  ...        0        0   \n",
       "Japan                 4        4        7        7  ...      581      639   \n",
       "Lebanon               0        0        0        0  ...       41       61   \n",
       "Djibouti              0        0        0        0  ...        0        0   \n",
       "\n",
       "                3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  3/17/20  3/18/20  \\\n",
       "Country/Region                                                                  \n",
       "Albania              23       33       38       42       51       55       59   \n",
       "Namibia               0        0        2        2        2        2        2   \n",
       "Uzbekistan            0        0        0        1        6       10       15   \n",
       "Chile                23       43       61       74      155      201      238   \n",
       "Guyana                1        1        1        4        4        7        7   \n",
       "Cameroon              2        2        2        2        4       10       10   \n",
       "Chad                  0        0        0        0        0        0        0   \n",
       "Japan               639      701      773      839      825      878      889   \n",
       "Lebanon              61       77       93      110       99      120      133   \n",
       "Djibouti              0        0        0        0        0        0        1   \n",
       "\n",
       "                3/19/20  \n",
       "Country/Region           \n",
       "Albania              64  \n",
       "Namibia               3  \n",
       "Uzbekistan           23  \n",
       "Chile               238  \n",
       "Guyana                7  \n",
       "Cameroon             13  \n",
       "Chad                  1  \n",
       "Japan               924  \n",
       "Lebanon             157  \n",
       "Djibouti              1  \n",
       "\n",
       "[10 rows x 60 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed_by_country.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lat        -14.2350\n",
       "Long       -51.9253\n",
       "1/22/20      0.0000\n",
       "1/23/20      0.0000\n",
       "1/24/20      0.0000\n",
       "1/25/20      0.0000\n",
       "1/26/20      0.0000\n",
       "1/27/20      0.0000\n",
       "1/28/20      0.0000\n",
       "1/29/20      0.0000\n",
       "1/30/20      0.0000\n",
       "1/31/20      0.0000\n",
       "2/1/20       0.0000\n",
       "2/2/20       0.0000\n",
       "2/3/20       0.0000\n",
       "2/4/20       0.0000\n",
       "2/5/20       0.0000\n",
       "2/6/20       0.0000\n",
       "2/7/20       0.0000\n",
       "2/8/20       0.0000\n",
       "2/9/20       0.0000\n",
       "2/10/20      0.0000\n",
       "2/11/20      0.0000\n",
       "2/12/20      0.0000\n",
       "2/13/20      0.0000\n",
       "2/14/20      0.0000\n",
       "2/15/20      0.0000\n",
       "2/16/20      0.0000\n",
       "2/17/20      0.0000\n",
       "2/18/20      0.0000\n",
       "2/19/20      0.0000\n",
       "2/20/20      0.0000\n",
       "2/21/20      0.0000\n",
       "2/22/20      0.0000\n",
       "2/23/20      0.0000\n",
       "2/24/20      0.0000\n",
       "2/25/20      0.0000\n",
       "2/26/20      1.0000\n",
       "2/27/20      1.0000\n",
       "2/28/20      1.0000\n",
       "2/29/20      2.0000\n",
       "3/1/20       2.0000\n",
       "3/2/20       2.0000\n",
       "3/3/20       2.0000\n",
       "3/4/20       4.0000\n",
       "3/5/20       4.0000\n",
       "3/6/20      13.0000\n",
       "3/7/20      13.0000\n",
       "3/8/20      20.0000\n",
       "3/9/20      25.0000\n",
       "3/10/20     31.0000\n",
       "3/11/20     38.0000\n",
       "3/12/20     52.0000\n",
       "3/13/20    151.0000\n",
       "3/14/20    151.0000\n",
       "3/15/20    162.0000\n",
       "3/16/20    200.0000\n",
       "3/17/20    321.0000\n",
       "3/18/20    372.0000\n",
       "3/19/20    621.0000\n",
       "Name: Brazil, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizar los datos filtrando por el pais Brasil\n",
    "confirmed_by_country.loc['Brazil']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lat         1083.3367\n",
       "Long        3684.4197\n",
       "1/22/20      548.0000\n",
       "1/23/20      643.0000\n",
       "1/24/20      920.0000\n",
       "1/25/20     1406.0000\n",
       "1/26/20     2075.0000\n",
       "1/27/20     2877.0000\n",
       "1/28/20     5509.0000\n",
       "1/29/20     6087.0000\n",
       "1/30/20     8141.0000\n",
       "1/31/20     9802.0000\n",
       "2/1/20     11891.0000\n",
       "2/2/20     16630.0000\n",
       "2/3/20     19716.0000\n",
       "2/4/20     23707.0000\n",
       "2/5/20     27440.0000\n",
       "2/6/20     30587.0000\n",
       "2/7/20     34110.0000\n",
       "2/8/20     36814.0000\n",
       "2/9/20     39829.0000\n",
       "2/10/20    42354.0000\n",
       "2/11/20    44386.0000\n",
       "2/12/20    44759.0000\n",
       "2/13/20    59895.0000\n",
       "2/14/20    66358.0000\n",
       "2/15/20    68413.0000\n",
       "2/16/20    70513.0000\n",
       "2/17/20    72434.0000\n",
       "2/18/20    74211.0000\n",
       "2/19/20    74619.0000\n",
       "2/20/20    75077.0000\n",
       "2/21/20    75550.0000\n",
       "2/22/20    77001.0000\n",
       "2/23/20    77022.0000\n",
       "2/24/20    77241.0000\n",
       "2/25/20    77754.0000\n",
       "2/26/20    78166.0000\n",
       "2/27/20    78600.0000\n",
       "2/28/20    78928.0000\n",
       "2/29/20    79356.0000\n",
       "3/1/20     79932.0000\n",
       "3/2/20     80136.0000\n",
       "3/3/20     80261.0000\n",
       "3/4/20     80386.0000\n",
       "3/5/20     80537.0000\n",
       "3/6/20     80690.0000\n",
       "3/7/20     80770.0000\n",
       "3/8/20     80823.0000\n",
       "3/9/20     80860.0000\n",
       "3/10/20    80887.0000\n",
       "3/11/20    80921.0000\n",
       "3/12/20    80932.0000\n",
       "3/13/20    80945.0000\n",
       "3/14/20    80977.0000\n",
       "3/15/20    81003.0000\n",
       "3/16/20    81033.0000\n",
       "3/17/20    81058.0000\n",
       "3/18/20    81102.0000\n",
       "3/19/20    81156.0000\n",
       "Name: China, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizar los datos filtrando por el pais China\n",
    "confirmed_by_country.loc[\"China\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1/22/20      548.0\n",
       "1/23/20      643.0\n",
       "1/24/20      920.0\n",
       "1/25/20     1406.0\n",
       "1/26/20     2075.0\n",
       "1/27/20     2877.0\n",
       "1/28/20     5509.0\n",
       "1/29/20     6087.0\n",
       "1/30/20     8141.0\n",
       "1/31/20     9802.0\n",
       "2/1/20     11891.0\n",
       "2/2/20     16630.0\n",
       "2/3/20     19716.0\n",
       "2/4/20     23707.0\n",
       "2/5/20     27440.0\n",
       "2/6/20     30587.0\n",
       "2/7/20     34110.0\n",
       "2/8/20     36814.0\n",
       "2/9/20     39829.0\n",
       "2/10/20    42354.0\n",
       "2/11/20    44386.0\n",
       "2/12/20    44759.0\n",
       "2/13/20    59895.0\n",
       "2/14/20    66358.0\n",
       "2/15/20    68413.0\n",
       "2/16/20    70513.0\n",
       "2/17/20    72434.0\n",
       "2/18/20    74211.0\n",
       "2/19/20    74619.0\n",
       "2/20/20    75077.0\n",
       "2/21/20    75550.0\n",
       "2/22/20    77001.0\n",
       "2/23/20    77022.0\n",
       "2/24/20    77241.0\n",
       "2/25/20    77754.0\n",
       "2/26/20    78166.0\n",
       "2/27/20    78600.0\n",
       "2/28/20    78928.0\n",
       "2/29/20    79356.0\n",
       "3/1/20     79932.0\n",
       "3/2/20     80136.0\n",
       "3/3/20     80261.0\n",
       "3/4/20     80386.0\n",
       "3/5/20     80537.0\n",
       "3/6/20     80690.0\n",
       "3/7/20     80770.0\n",
       "3/8/20     80823.0\n",
       "3/9/20     80860.0\n",
       "3/10/20    80887.0\n",
       "3/11/20    80921.0\n",
       "3/12/20    80932.0\n",
       "3/13/20    80945.0\n",
       "3/14/20    80977.0\n",
       "3/15/20    81003.0\n",
       "3/16/20    81033.0\n",
       "3/17/20    81058.0\n",
       "3/18/20    81102.0\n",
       "3/19/20    81156.0\n",
       "Name: China, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizar los datos filtrando por el pais China y solo los datos de series temporales\n",
    "confirmed_by_country.loc[\"China\"][2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Con esta linea, la salida de los comandos de pyplot (plt) se muestran en línea dentro de las interfaces \n",
    "# como el Jupyter notebook, directamente debajo de la celda de código que lo produjo. \n",
    "# Los trazados(plots) resultantes también se almacenarán en el notebook.\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20e3b5e4708>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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QGpKBbjQTaTfxPu/3S8CjZpYB7AKuJ5JIHjezG4G9wDWh7HPAfKAAOBrK4u5lZvZdYHUo9x13LwvTtwAPA72B34WXSEw7S6rI6ZepLqUi7SiuZODu64C8GIsui1HWgVtb2c6DwIMx4vnA1HjqIlJQWsVEHRWItCt1xZCk4u7sLKnijKFZia6KSLeiZCBJpbSqloqaBh0ZiLQzJQNJKjtLqgH1JBJpb0oGklSaexJNVDIQaVdKBpJUdpZUkZWRyvD+vRJdFZFuRclAksrO0irOGNoXPdhWpH0pGUhS2VlSpZvNRDqAkoEkjeraBorKa3S9QKQDKBlI0thVGnoS5egeA5H2pmQgSaOgtBJQTyKRjqBkIEmjoKSK1BRjzCAdGYi0NyUDSRo7S6oZO7gPGWnabUXam/6rJGkUlKonkUhHUTKQpFDf2MSeQ9W6XiDSQZQMJCnsLTtKfaPryECkg8SVDMzsbTPbYGbrzCw/xAaZ2Soz2xHeB4a4mdl9ZlZgZuvNbGbUdhaF8jvMbFFU/Pyw/YKwrm4vlfdpHupSRwYiHeNkjgwudffz3L15kJvbgZfcfRLwUpgHuBKYFF6LgZ9CJHkAdwKzgVnAnc0JJJRZHLXevFNukXRLzQ+om6B7DEQ6xOmcJloALA3TS4GrouLLPOI1INvMRgBXAKvcvczdDwOrgHlhWX93fzWMkrYsalsiQKQn0bD+mfTvpaEuRTpCvMnAgRfMbI2ZLQ6xYWEwe8L70BAfBeyLWrcwxE4UL4wRF3mXehKJdKy4xkAGLnb3IjMbCqwys60nKBvrfL+fQvz4DUcS0WKAMWPGnLjG0m24O7tKqvj4TH1HEOkocR0ZuHtReC8BniZyzr84nOIhvJeE4oXA6KjVc4GiNuK5MeKx6rHE3fPcPS8nJyeeqks3UFJZS2Vtg44MRDpQm8nAzLLMrF/zNDAX2AisAJp7BC0Cng3TK4CFoVfRHKA8nEZaCcw1s4HhwvFcYGVYVmlmc0IvooVR2xJRTyKRThDPaaJhwNOht2ca8Et3f97MVgOPm9mNwF7gmlD+OWA+UAAcBa4HcPcyM/susDqU+467l4XpW4CHgd7A78JLBHivJ5GODEQ6TpvJwN13AdNjxA8Bl8WIO3BrK9t6EHgwRjwfmBpHfaUH2llSRd/MNIb1z0x0VUS6Ld2BLF1epCdRloa6FOlASgbS5e0sqeYMXS8Q6VBKBtKlVdbU805Fja4XiHQwJQPp0pqHulRPIpGOpWQgXVpBiXoSiXQGJQPp0naWVpGWYowd3CfRVRHp1pQMpMuqrm1gU1EFYwf3IT1Vu6pIR4r32UQiHWpf2VFe2VbCzpIqdpZWs6u0iqLyGgA+Mm1Egmsn0v0pGUjC/WF7Kbc++iZVtQ30zUzjjJws5kwYzBlD+3JGThYXThiS6CqKdHtKBpJQj7z6Nnf9ZjOTh/XjJ5+ZwfghurlMJBGUDCQhGpucu3+7mYf+720uO2so9103g6xM7Y4iiaL/Pul0VbUN/P2v1vLy1hJuvGQ8X59/NqkpOhoQSSQlA+lURUeOccPDq9lRUsXdV03lc3PGJrpKIoKSgXSi4ooarl3yGoer63j4+gv4wCQNUCTSVSgZSKcoq67jc/e/zqGqWh792zmcNzo70VUSkShKBtLhKmrqWfjg6+wtO8rD189SIhDpguK+rdPMUs1srZn9b5gfb2avm9kOM3vMzDJCPDPMF4Tl46K2cUeIbzOzK6Li80KswMxub7/mSaIdrWvghodWs+2dSn72ufO58IzBia6SiMRwMvf4fxnYEjV/D3Cvu08CDgM3hviNwGF3nwjcG8phZucA1wJTgHnA/wsJJhX4CXAlcA5wXSgrSa6mvpGbH1nDm3sP86NrZ3DpWUMTXSURaUVcycDMcoG/Ae4P8wZ8GHgiFFkKXBWmF4R5wvLLQvkFwHJ3r3X33UTGSJ4VXgXuvsvd64DloawksfrGJr70q7X8acdBvn/1dOafq0dKiHRl8R4Z/BD4F6ApzA8Gjrh7Q5gvBEaF6VHAPoCwvDyUfzfeYp3W4scxs8Vmlm9m+aWlpXFWXRLh27/ZxKrNxXxnwRSuPj830dURkTa0mQzM7CNAibuviQ7HKOptLDvZ+PFB9yXunufueTk56pbYVT22ei+/eG0vN39oAgsvHJfo6ohIHOLpTXQx8DEzmw/0AvoTOVLINrO08O0/FygK5QuB0UChmaUBA4CyqHiz6HVai0uSWbfvCP/6zCYumTiEr849M9HVEZE4tXlk4O53uHuuu48jcgH4ZXf/LPAKcHUotgh4NkyvCPOE5S+7u4f4taG30XhgEvAGsBqYFHonZYSfsaJdWied6mBVLbf8Yg1D+2fy/103gzSNQSCSNE7nPoOvAcvN7G5gLfBAiD8APGJmBUSOCK4FcPdNZvY4sBloAG5190YAM7sNWAmkAg+6+6bTqJckQH1jE7c++iZl1XU8ectFDMzKSHSVROQkWORLe/LJy8vz/Pz8RFdDgm//ZhMP/d/b3Pvp6Xx8hi4Yi3RFZrbG3fNiLdNxvJy2p9cW8tD/vc31F49TIhBJUkoGclrWFx7h9ic3MHv8IL4+/+xEV0dETpGSgZyyvYeOcsPDqxnSN5Mff2amBq0XSWJ6UJ2ckrLqOhY99Ab1jc7yxReQ0y8z0VUSkdOgZCAn7VhdIzctXc3+I8d49KbZTBzaL9FVEpHTpON6OSmNTc6Xl69l7b4j/OjT53HBuEGJrpKItAMlA4mbu3PXik28sLmYb33kHK7Uw+dEug0lA4nbz/6wi0de28PiD07g+ovHJ7o6ItKOlAwkLr/fVsI9z2/lo9NHcvu8sxJdHRFpZ0oG0qbyo/V87cn1TB7Wlx9cPY2UlFgPmhWRZKbeRNKmu36ziUNVddy/8AJ6pacmujoi0gF0ZCAn9PzGAzy9dj+3fXgi5+YOSHR1RKSDKBlIqw5W1fL1pzcydVR/br10YqKrIyIdSMlAYnJ3vv7UBqpqGvjvT52nR02IdHP6D5eYnlm3nxc2F/NPcyczeZjuMBbp7pQM5DgHyo/xrWc3cf7Ygdz0gQmJro6IdII2k4GZ9TKzN8zsLTPbZGbfDvHxZva6me0ws8fCkJWEYS0fM7OCsHxc1LbuCPFtZnZFVHxeiBWY2e3t30yJl7vztSc30NDo/Nc100lVN1KRHiGeI4Na4MPuPh04D5hnZnOAe4B73X0ScBi4MZS/ETjs7hOBe0M5zOwcIkNgTgHmAf/PzFLNLBX4CXAlcA5wXSgrCbDkj7v44/ZS7ph/FuOGZCW6OiLSSdpMBh5RFWbTw8uBDwNPhPhS4KowvSDME5ZfZmYW4svdvdbddwMFwKzwKnD3Xe5eBywPZaWTvbG7jO+v3MaVU4fz+TljE10dEelEcV0zCN/g1wElwCpgJ3DE3RtCkUJgVJgeBewDCMvLgcHR8RbrtBaPVY/FZpZvZvmlpaXxVF3idLCqli/96k1GD+zNPVdPI5K/RaSniCsZuHuju58H5BL5Jh9rfEMP77E+RfwU4rHqscTd89w9Lycnp+2KS1wam5yvLF/H4aP1/OSzM+nfKz3RVRKRTnZSvYnc/Qjwe2AOkG1mzY+zyAWKwnQhMBogLB8AlEXHW6zTWlw6yX0v7eDPBQf5zsemMGWk7jIW6Yni6U2UY2bZYbo38NfAFuAV4OpQbBHwbJheEeYJy192dw/xa0Nvo/HAJOANYDUwKfROyiBykXlFezRO2vbH7aXc9/IOPjFzFJ++YHTbK4hItxTPg+pGAEtDr58U4HF3/18z2wwsN7O7gbXAA6H8A8AjZlZA5IjgWgB332RmjwObgQbgVndvBDCz24CVQCrwoLtvarcWSqveKa/hK4+tY9LQvtx91VRdJxDpwSzypT355OXleX5+fqKrkbQam5xrl7zK5qIKnr3tEiYO7ZvoKolIBzOzNe6eF2uZHmHdQz3y6tusfvsw/3XNdCUCEdHjKHqiwsNH+f7KbfzVmTl8YmbMXrwi0sMoGfQw7s43n9kIoOsEIvIuJYMeZsVbRfx+WylfveJMcgf2SXR1RKSLUDLoQcqq6/j2bzZz3uhsFl44LtHVEZEuRMmgB7n7fzdTcayeez45TU8jFZH3UTLoIf6wvZSn1u7n7/7qDM4crsFqROT9lAx6gOraBr7+1AbOyMni1g9rLGMROZ7uM+gB/uuF7ew/cownvnghmWmpia6OiHRBOjLo5jYXVfDwX3bz2dljyBs3KNHVEZEuSsmgG3N3vvXsRrL7ZPAvV5yV6OqISBemZNCNPfXmfvL3HOb2K89iQB+NUSAirVMy6KbKj9XzH7/bwowx2Vw9MzfR1RGRLk4XkLupe1dtp6y6joevn0WK7ikQkTboyKAb2lRUzrJX3+azs8cydZRGLhORtsUz0tloM3vFzLaY2SYz+3KIDzKzVWa2I7wPDHEzs/vMrMDM1pvZzKhtLQrld5jZoqj4+Wa2Iaxzn+npaaesqcm589lNZPfJ4J/nnpno6ohIkojnyKAB+Cd3P5vI2Me3mtk5wO3AS+4+CXgpzANcSWRIy0nAYuCnEEkewJ3AbGAWcGdzAgllFketN+/0m9YzPbVWF41F5OS1mQzc/YC7vxmmK4mMfzwKWAAsDcWWAleF6QXAMo94Dcg2sxHAFcAqdy9z98PAKmBeWNbf3V8NYyUvi9qWnITyY/X8x3O6aCwiJ++krhmY2ThgBvA6MMzdD0AkYQBDQ7FRwL6o1QpD7ETxwhjxWD9/sZnlm1l+aWnpyVS9R7jn+a0cPlrHdxdM1UVjETkpcScDM+sLPAl8xd0rTlQ0RsxPIX580H2Ju+e5e15OTk5bVe5Rnlm7n1++vpebPjBBF41F5KTFlQzMLJ1IInjU3Z8K4eJwiofwXhLihcDoqNVzgaI24rkx4hKnbe9UcsdTG7hg3EC+eoUuGovIyYunN5EBDwBb3P2/oxatAJp7BC0Cno2KLwy9iuYA5eE00kpgrpkNDBeO5wIrw7JKM5sTftbCqG1JGypr6rnlF2vo2yuNn3xmJump6i0sIicvnpvOLgY+D2wws3Uh9nXge8DjZnYjsBe4Jix7DpgPFABHgesB3L3MzL4LrA7lvuPuZWH6FuBhoDfwu/CSNrg7X/31evaUHeWXN81maP9eia6SiCSpNpOBu/+Z2Of1AS6LUd6BW1vZ1oPAgzHi+cDUtuoi7/c/f9rF85ve4Rvzz2b2hMGJro6IJDGdU0hSr+06xD3Pb2P+ucO56QPjE10dEUlySgZJqLiihtt+uZaxg/twzyenoRu2ReR06UF1Sejbv9lEdW0Dv/zb2fTrpbuMReT06cggyWwuquC5De9w0wfGM3mYBrYXkfahZJBkfvTSdvplpnHTJRMSXRUR6UaUDJLIxv3lrNxUzA2XjNdD6ESkXSkZJJEfvriD/r3SuOES9R4SkfalZJAkNhSW8+KWYm76wAQG9NZRgYi0LyWDJHHvi9sZ0Dud6y8el+iqiEg3pGSQBNbtO8LLW0tY/MEJ6koqIh1CySAJ/PDF7Qzsk86ii8Yluioi0k0pGXRxa/Yc5vfbSln8wTPom6l7BEWkYygZdHE/fHE7g7IyWHjh2ERXRUS6MSWDLuyP20v5046DfPFDE8jSUYGIdCAlgy7quQ0HuGlZPhOGZPG5OToqEJGOpa+bXYy7c/+fdvPvv9vCzDED+Z+FefTJ0J9JRDpWPMNePmhmJWa2MSo2yMxWmdmO8D4wxM3M7jOzAjNbb2Yzo9ZZFMrvMLNFUfHzzWxDWOc+68HPY25scu5asYl/e24LV04dzqM3zWZQVkaiqyUiPUA8p4keBua1iN0OvOTuk4CXwjzAlcCk8FoM/BQiyQO4E5gNzALubE4gocziqPVa/qwe4WhdAzc/soalr+5h8Qcn8OPrZtIrPTXR1RKRHqLNZODufwTKWoQXAEvD9FLgqqj4Mo94Dcg2sxHAFcAqdy9z98PAKmBeWNbf3V8Nw2Uui9pWj3Gg/BjXLnmNl7cW850FU/j6/LNJSemxB0gikgCnejJ6mLsfAHD3A2Y2NMRHAfuiyhWG2InihTHiMZnZYiJHEYwZM+YUq951uDsr3iriX5/ZSEOT8/PP53H5OcMSXS0R6SnMnAoAAAtXSURBVIHa+8pkrK+zfgrxmNx9CbAEIC8vr9VyyeDI0Tq+8cxGfrv+ADPHZPPfnzqPcUOyEl0tEemhTjUZFJvZiHBUMAIoCfFCYHRUuVygKMT/qkX89yGeG6N8t/aH7aX8yxNvcaiqjq9ecSY3f3ACaanq5SsiiXOqn0ArgOYeQYuAZ6PiC0OvojlAeTidtBKYa2YDw4XjucDKsKzSzOaEXkQLo7bV7dQ2NHLnsxtZ9OAb9O+VzjO3Xsytl05UIhCRhGvzyMDMfkXkW/0QMysk0ivoe8DjZnYjsBe4JhR/DpgPFABHgesB3L3MzL4LrA7lvuPuzRelbyHSY6k38Lvw6nYOV9dx8yNreOPtMq6/eBxfm3eWeguJSJdhkU48yScvL8/z8/MTXY247D5YzQ0Pr2b/kWP85zXT+dj0kYmukoj0QGa2xt3zYi3Tra0d7I3dZSx+JJ8UM371t7M5f+ygRFdJROQ4SgYd6Om1hXztiQ3kDurNQ1+4gLGD1VtIRLomJYN25u7sLK3miTWF/OwPO5kzYRA//1weA/pohDIR6bqUDE5TY5Oz9Z0K3thd9u7rUHUdAFefn8u/f/xcMtLUW0hEujYlg9NQXFHDdUteY9fBagBGZffmQ5NzmDV+ELPGD2JCTt8E11BEJD5KBqeo/Fg9ix58g+KKGr5/9TQunjiEUdm9E10tEZFTomRwCmrqG7lp6Wp2llbx0BdmccmkIYmukojIaVEyOEkNjU3c9su15O85zH3XzlAiEJFuQVc2T4K78/WnN/DilmLu+ugUPqqbx0Skm1AyOAk/WLmNx/ML+dKHJ7LoonGJro6ISLvRaaI4FB05xrJX9/CzP+zkullj+MfLJye6SiIi7UrJoBUHyo/x3IZ3+O36It7cewSAj00fyd1XTaUHD9MsIt2UkkHg7mwvruIP20t4YVMx+XsOA3D2iP589YozmX/uCMZr8BkR6aZ6dDI4crSOPxcc5I/bS/nj9oO8U1EDwFnD+/FPl09m/rQRnKEbx0SkB+gxyaC2oZGtBypZv7+cDYVHWF9YzvbiSpoc+vdK45JJQ/jQ5Bw+MCmHkbp5TER6mC6TDMxsHvAjIBW4392/F++67k5tQxOVNQ28U15DUfkxio4c40B5DfuPHOPtg9VsL66kvjEydsPAPumcm5vN3CnD+dDkIUzPzdZoYyLSo3WJwW3MLBXYDlxOZFzk1cB17r65tXX65p7pZ978Y47VN3KsvpFYzchIS2HkgF6MHtSHKSMHMC13AOeOGkDuwN66CCwiPU4yDG4zCyhw910AZrYcWAC0mgyyMlOZN3U4vdNT6Z2RSq/0VLIyUhk+oDcjs3sxMrs3g7My9KEvIhKHrpIMRgH7ouYLgdktC5nZYmAxwJgxY/i3j5/bObUTEenmusqJ8lhf34878ePuS9w9z93zcnJyOqFaIiI9Q1dJBoXA6Kj5XKAoQXUREelxukoyWA1MMrPxZpYBXAusSHCdRER6jC5xzcDdG8zsNmAlka6lD7r7pgRXS0Skx+gSyQDA3Z8Dnkt0PUREeqKucppIREQSSMlARESUDEREpIs8juJUmFklsC3R9egEQ4CDia5EJ1Fbu6ee0tZkaOdYd495k1aXuYB8Cra19oyN7sTM8ntCO0Ft7a56SluTvZ06TSQiIkoGIiKS3MlgSaIr0El6SjtBbe2uekpbk7qdSXsBWURE2k8yHxmIiEg7UTIQEZHOTQZm9qCZlZjZxhbxC83sf8zscjNbY2YbwvuHw/I+ZvZbM9tqZpvM7Hst1h9hZi+Y2Xlm9moos97MPh1VZryZvW5mO8zssfB01E5hZqPN7BUz2xLq9uUYbR8cylSZ2Y9jbOMOM/usmf2jmW0O7XvJzMZGlVkU2rfDzBYlS/vM7N/MbJ+ZVcXYdpf528bZzpj7cDK1M0bdepnZG2b2VqjXt6OWXWdm3wj75vrw+ouZTW+xjZ+b2cVm9oPwf7zezJ42s+yoMneYWYGZbTOzKzqjbSfRvrPC36XWzP45anmr+0RYHs9+cX6IF5jZfWYJGp7R3TvtBXwQmAlsbBH/NvBJYAYwMsSmAvvDdB/g0jCdAfwJuDJq/euBfwImA5NCbCRwAMgO848D14bpnwG3dGK7RwAzw3Q/IuM9n9Oi7VnAJcAXgR/H2MYrQA5wKdAnxG4BHgvTg4Bd4X1gmB6YDO0D5oRtVMXYdpf528bZzpj7cDK1M0bdDOgbptOB14E5YX4pcD5wUfP+BlwJvN5iG+uIPJF4LpAWYvcA94Tpc4C3gExgPLATSO1C7RsKXAD8G/DP8ewTJ7FfvAFcGOrxO6I+2zrz1fk/EMZxfDL4MzAgxh/oEJAZYxs/Av42av6x6D9AVPwtYFLY1sGonfBCYGUifuHh5z8LXB6r7cAXOP7Dsj/wfzG2M6M5DlwH/Dxq2c+B65KhfVHLYn1Idtm/7YnaGWIx9+Fka2eL+vQB3iQyLK2F+lmLMgNbfNidDTweY1sfBx4N03cAd0QtWwlc2NXaB9xFVDI40T4Rz35BJJlsjVr2vv/jznwl/JqBmQ0B6t29vMWiTwJr3b22Rfls4KPAS2E+FTjT3Te3KDeLyFHETmAwcMTdG8LiQiLjLnc6MxtH5EP89RO0vaW/JrS3hRuJfJOA2ONId3obT7F9rW2ry/5t42xnzH04xra6bDuj62hm64ASYJW7v06k/W95+BSLEr1fQuRI4fkYm72BLrL/nmT7WtvGuLDO62E+nv1iFJG2NkvYZ1NXeBzFXOCF6ICZTSFyCDm3RTwN+BVwn7vvCuHZhF9+VLkRwCPAIndvauUcXKf3qTWzvsCTwFfcvcLMPkOLtrdiHvBQi219DsgDPtQcirFep7bxNNrXmi75t42nna3tw63oku183w9ybwTOC1/GnjazqUT2y+gPfczsUiLJ4JKo8BVEToNFl/sG0AA82hyK9WPbp/Zti7d9rWm5T4RwPJ9tCf+/bZbwIwNafGsws1zgaWChu+9sUXYJsMPdf3iC9fsDvwW+6e6vhfBBIDskE0jAGMtmlk5kZ3nU3Z8K4da+MbU0i8h5xeZt/TXwDeBjUd86EzqO9Gm2rzVd7m8bTzvb2Idj6XLtbI27HwF+T+SD8n0fdmY2DbgfWODuh0KsD5FrHkVR5RYBHwE+G/Wtu0uMg36i9rWmlX0C4tsvCom0tVnixn9PwDm5cYRrBrQ4Jwdkh/lPxljvbiK/8JQW8b8A/cN0BpHTKV+Jsf6vef/Ft7/rxDYbsAz4YYtYrPOtXyDqnDowBVgeNT+DyGmDSS3WGwTsJnK+dmCYHtTV29diWVWL+S71t42nnSfah5OlnTF+bg7vXcTuTaQDxwLgz1FlxgAFwEUt1v0b4HtR8/OAzUBOi3JTeP8F5F103gXkNtsXVfYu3n8B+bh94mT3CyJjwM/hvQvI8zuj3cfVo1N/WOQUzwGgnkhG/BrwcNTybwLVRHoeNL+GEsmWDmyJit8U/ogvR63/ubDt6PXPC8smEPl2XRD+qY67MN2B7b4k1H99VL2+Fd32UO5toAyoCr+fc4B/Br4QVeZFoDhqOyuilt0Q2lcAXJ8M7Qvx74f5pvB+V1f828bTztb24WRqZ4x2TwPWhnZvDG2+Grgrqsz9wOGoOueH+I+Bv4oqV0Dk2kBzuZ9FLfsGkS862+jEHjVxtm94+JtVAEfCdP9W9on5RE7hxrtf5IWfuzP8vqyz2h79SujjKMzsm0CBuy8/xfU/B+S6+/faLNzFxNt2M1tF5LDyQOfUrH30lL9tT2lnS2Z2P3C/v3caq7VybwKz3b2+c2rWPuJt3wnWP639IhH0bCIREekSF5BFRCTBlAxERETJQERElAxERAQlAxERQclARESA/x/164y0Gd7t7QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "confirmed_by_country.loc[\"China\"][2:].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20e3f6661c8>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "confirmed_by_country.loc[\"Paraguay\"][2:].plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "La curva de casos confirmados de Paraguay parece crecer en forma lineal, tambien con los primeros casos de China. El problema es que, viendo este tipo de gráficos es muy difícil saber cómo es el crecimiento: si comparamos la evolucion de Paraguay con la de China parece que el escenario es de lo peor. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pylab import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ejemplo feo de manipular los ejes\n",
    "# comparar el momento inicial con 1.386 bi (poblacion de China en 2017)\n",
    "# uso de figsize\n",
    "plt.figure(figsize=(10,7))\n",
    "# cambiando el rango de valores en x\n",
    "confirmed_by_country.loc[\"China\"][2:].plot()\n",
    "plt.title(\"Casos confirmados en China\")\n",
    "# cambiando el rango de valores en y\n",
    "#plt.ylim(40000, 80000)\n",
    "#plt.ylim(40000, 300000)\n",
    "# cambiando la escala de los ejes estamos pasando mensajes diferentes\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Las epidemias no tienen un comportamiento exponencial. Y no lo son porque, en un sistema finito, a partir de cierto momento la misma estructura social limita su crecimiento: no hay suficientes humanos en el mundo para mantener ese crecimiento exponencial. \n",
    "En matematica se dice que la primera fase tiene un comportamiento como una curva exponencial. Por eso para visualizar mejor se utiliza una escala logaritmica."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country.loc[\"China\"][2:].plot()\n",
    "plt.title(\"Casos confirmados en China\")\n",
    "# cambiando la escala de valores en y a logaritmica\n",
    "plt.semilogy(0,80000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(155, 60)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confirmed_by_country.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country.loc[\"Brazil\"][45:].plot()\n",
    "plt.title(\"Casos confirmados en Brasil\")\n",
    "# cambiando la escala de valores en y a logaritmica\n",
    "plt.semilogy(0,13)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cuando pasamos los datos a una escala logarítmica la situación cambia. Cuando hablamos de escala logarítmica hablamos de una gráfica en la que la distancia entre países con 100 y 1.000 casos es la misma que entre países con 1.000 y 10.000, porque el tiempo que se necesita para pasar de unos a otros es el mismo. Con este tipo de gráficas es muy fácil identificar un fenómeno exponencial porque los datos dibujan una línea recta."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country.loc[\"Paraguay\"][50:].plot()\n",
    "plt.title(\"Casos confirmados en Paraguay\")\n",
    "# cambiando la escala de valores en y a logaritmica\n",
    "plt.semilogy(0,13)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparando las tres curvas de China, Brasil y Paraguay. Se puede visualizar que China y Paraguay parecen haber alcanzado la fase de desaceleracion de aparicion de casos, mientras que Brasil se encuentra en la fase de crecimiento exponencial.\n",
    "El caso de Paraguay es incierto por que todavia son muy pocos casos, por lo tanto no se puede asegurar si la pandemia esta controlada."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizando la aceleracion de la aparicion de casos confirmados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1/22/20        NaN\n",
       "1/23/20       95.0\n",
       "1/24/20      277.0\n",
       "1/25/20      486.0\n",
       "1/26/20      669.0\n",
       "1/27/20      802.0\n",
       "1/28/20     2632.0\n",
       "1/29/20      578.0\n",
       "1/30/20     2054.0\n",
       "1/31/20     1661.0\n",
       "2/1/20      2089.0\n",
       "2/2/20      4739.0\n",
       "2/3/20      3086.0\n",
       "2/4/20      3991.0\n",
       "2/5/20      3733.0\n",
       "2/6/20      3147.0\n",
       "2/7/20      3523.0\n",
       "2/8/20      2704.0\n",
       "2/9/20      3015.0\n",
       "2/10/20     2525.0\n",
       "2/11/20     2032.0\n",
       "2/12/20      373.0\n",
       "2/13/20    15136.0\n",
       "2/14/20     6463.0\n",
       "2/15/20     2055.0\n",
       "2/16/20     2100.0\n",
       "2/17/20     1921.0\n",
       "2/18/20     1777.0\n",
       "2/19/20      408.0\n",
       "2/20/20      458.0\n",
       "2/21/20      473.0\n",
       "2/22/20     1451.0\n",
       "2/23/20       21.0\n",
       "2/24/20      219.0\n",
       "2/25/20      513.0\n",
       "2/26/20      412.0\n",
       "2/27/20      434.0\n",
       "2/28/20      328.0\n",
       "2/29/20      428.0\n",
       "3/1/20       576.0\n",
       "3/2/20       204.0\n",
       "3/3/20       125.0\n",
       "3/4/20       125.0\n",
       "3/5/20       151.0\n",
       "3/6/20       153.0\n",
       "3/7/20        80.0\n",
       "3/8/20        53.0\n",
       "3/9/20        37.0\n",
       "3/10/20       27.0\n",
       "3/11/20       34.0\n",
       "3/12/20       11.0\n",
       "3/13/20       13.0\n",
       "3/14/20       32.0\n",
       "3/15/20       26.0\n",
       "3/16/20       30.0\n",
       "3/17/20       25.0\n",
       "3/18/20       44.0\n",
       "3/19/20       54.0\n",
       "Name: China, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# diferencia de un dia para otro\n",
    "confirmed_by_country.loc[\"China\"][2:].diff()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1/23/20       95.0\n",
       "1/24/20      277.0\n",
       "1/25/20      486.0\n",
       "1/26/20      669.0\n",
       "1/27/20      802.0\n",
       "1/28/20     2632.0\n",
       "1/29/20      578.0\n",
       "1/30/20     2054.0\n",
       "1/31/20     1661.0\n",
       "2/1/20      2089.0\n",
       "2/2/20      4739.0\n",
       "2/3/20      3086.0\n",
       "2/4/20      3991.0\n",
       "2/5/20      3733.0\n",
       "2/6/20      3147.0\n",
       "2/7/20      3523.0\n",
       "2/8/20      2704.0\n",
       "2/9/20      3015.0\n",
       "2/10/20     2525.0\n",
       "2/11/20     2032.0\n",
       "2/12/20      373.0\n",
       "2/13/20    15136.0\n",
       "2/14/20     6463.0\n",
       "2/15/20     2055.0\n",
       "2/16/20     2100.0\n",
       "2/17/20     1921.0\n",
       "2/18/20     1777.0\n",
       "2/19/20      408.0\n",
       "2/20/20      458.0\n",
       "2/21/20      473.0\n",
       "2/22/20     1451.0\n",
       "2/23/20       21.0\n",
       "2/24/20      219.0\n",
       "2/25/20      513.0\n",
       "2/26/20      412.0\n",
       "2/27/20      434.0\n",
       "2/28/20      328.0\n",
       "2/29/20      428.0\n",
       "3/1/20       576.0\n",
       "3/2/20       204.0\n",
       "3/3/20       125.0\n",
       "3/4/20       125.0\n",
       "3/5/20       151.0\n",
       "3/6/20       153.0\n",
       "3/7/20        80.0\n",
       "3/8/20        53.0\n",
       "3/9/20        37.0\n",
       "3/10/20       27.0\n",
       "3/11/20       34.0\n",
       "3/12/20       11.0\n",
       "3/13/20       13.0\n",
       "3/14/20       32.0\n",
       "3/15/20       26.0\n",
       "3/16/20       30.0\n",
       "3/17/20       25.0\n",
       "3/18/20       44.0\n",
       "3/19/20       54.0\n",
       "Name: China, dtype: float64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extraemos la fila que no contiene datos faltantes utilizando dropna\n",
    "confirmed_by_country.loc[\"China\"][2:].diff().dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x20e40fc54c8>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Trazamos la curva de aceleracion de casos nuevos en China\n",
    "plt.figure(figsize=(10,7))\n",
    "new_cases_china = confirmed_by_country.loc[\"China\"][2:].diff().dropna()\n",
    "plt.title(\"Casos nuevos confirmados en China\")\n",
    "new_cases_china.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Atencion que los graficos de China tienen diferentes rangos en el eje Y, uno es de hasta 80000 y el otro hasta 14000\n",
    "No podemos colocar los graficos juntos como si fuese la misma cosa.\n",
    "En este grafico extrajimos informacion que esta presente en los datos y que no se veia directamente. Conseguimos extraer informacion nueva.\n",
    "\n",
    "En la DataFrame inicial no conseguimos ver los datos nuevos, en los graficos conseguimos ver usando la derivada(utilizando diff). Algo que no es trivial. Con esto queda mas claro la variacion de los casos.\n",
    "Vemos un pico (cerca del 12 de Febrero) por que la definicion de confirmados cambio en ese dia. Casos diagnosticados en clinicas y puestos de salud fueron definidos como confirmados, sin necesidad de un examen.\n",
    "\n",
    "Tambien este grafico nos muestra que la velocidad de aparicion de casos nuevos se ha estabilizado."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tortas o barras para comparar valores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gJqmKw1dHNqPSpIiISBUFMUlV3CPWkTEFMRERkSoKYpKqOHvlshlKQXOPRUREpNUoiEmqKkqT6hETERGpoCAmqSqXJrMqTYqIiFRTEJNUxWdN5rJWMVNMREREFMQkZXFfmEqTIiIisymISariHrHObEYDXUVERKooiEmqKkqTSmIiIiIVFMQkVXFfWC6jga4iIiLVFMQkVcnSpFbEREREKimISaqCRGlSOUxERKSSgpikKojOmszpWpMiIiKzKIhJquIesU4164uIiMyiICapimeHqVlfRERktoaCmJktN7Ovm9njZvaYmb3RzI4ws9vMbFP0eUW0r5nZFWa22cweMrPXJV7nomj/TWZ2UWL7qWb2cPScK8zMFv+tSjME5Yt+mwa6ioiIVGl0RexTwHfd/eXAycBjwAeB2939BOD26D7AucAJ0cclwOcBzOwI4DLgDcBpwGVxeIv2uSTxvHMO7G1Jq5gpTWZ0iSMREZEq8wYxM+sDfhH4IoC75919H3AecE202zXA+dHt84BrPXQPsNzMVgNnA7e5+x533wvcBpwTPdbn7nd7OP3z2sRrSZsrlyZ11qSIiMgsjayIvQQYAv7NzB40sy+Y2RJglbvvAIg+r4z2XwNsTTx/W7Rtru3bamyfxcwuMbMNZrZhaGiogUOXZpsZX6FrTYqIiFRrJIjlgNcBn3f31wLjzJQha6nV3+X7sX32Rvcr3X29u68fGBiY+6ilJVQMdFVpUkREpEIjQWwbsM3d743uf50wmO2KyopEnwcT+69LPH8tsH2e7WtrbJdDQHlFLGO4z1x7UkRERBoIYu6+E9hqZidGm84EHgVuBOIzHy8CvhXdvhG4MDp78nRgOCpd3gqcZWYroib9s4Bbo8dGzez06GzJCxOvJW1u5qzJTMV9ERERCcuOjfhfwHVm1gk8DbyfMMTdYGYXA88BF0T73gy8FdgMTET74u57zOxy4P5ovw+7+57o9u8BVwM9wC3RhxwCZkqTVr6fzWg6iYiICDQYxNz9p8D6Gg+dWWNfBy6t8zpXAVfV2L4BeFUjxyLtZeasyXhFTEtiIiIiMU3Wl1SVEhf9BgUxERGRJAUxSVXcE9aRCb/VdL1JERGRGQpikqogcDIGmUy8ItbkAxIREWkhCmKSqpKHzflxf76GuoqIiMxQEJNUBe6YWflMSQ11FRERmaEgJqkKAidrRsasfF9ERERCCmKSqlIA2czMiphymIiIyAwFMUlV4FGzftQjptKkiIjIDAUxSVXgTiaj0qSIiEgtCmKSqlLUIzZTmlQQExERiSmISaoCp2JFTANdRUREZiiISapmD3RVEBMREYkpiEmqSh6VJk1nTYqIiFRTEJNUzTTrh/dVmhQREZmhICapCkuTVi5NKoiJiIjMUBCTVJU8GugalSbVIiYiIjJDQUxSNdOsH97XQFcREZEZCmKSqnCyvsZXiIiI1KIgJqkqBV5xrUnXipiIiEiZgpikSitiIiIi9SmISaqCqFm/HMS0IiYiIlKmICapKkXN+jOlySYfkIiISAtREJNUaaCriIhIfQpikqogusRReaCrlsRERETKFMQkVaVosn75WpNaERMRESlTEJNUBUE4zDWji36LiIjMoiAmqQo8nCNWnqyvJCYiIlKmICapKkVzxOKzJgP1iImIiJQpiEmqguoeMQUxERGRMgUxSVU80NU0WV9ERGQWBTFJVfVAV62IiYiIzFAQk1TF15qcGV/R5AMSERFpIQpikqpS4FFpMrqvFTEREZGyhoKYmT1rZg+b2U/NbEO07Qgzu83MNkWfV0TbzcyuMLPNZvaQmb0u8ToXRftvMrOLEttPjV5/c/RcW+w3Ks0RVJ81qR4xERGRsoWsiP2Ku5/i7uuj+x8Ebnf3E4Dbo/sA5wInRB+XAJ+HMLgBlwFvAE4DLovDW7TPJYnnnbPf70haSuCQySTHVzT5gERERFrIgZQmzwOuiW5fA5yf2H6th+4BlpvZauBs4DZ33+Pue4HbgHOix/rc/W53d+DaxGtJmysFTtZQaVJERKSGRoOYA98zswfM7JJo2yp33wEQfV4ZbV8DbE08d1u0ba7t22psn8XMLjGzDWa2YWhoqMFDl2YK3MMVMV1rUkREZJZcg/v9nLtvN7OVwG1m9vgc+9bq7/L92D57o/uVwJUA69ev12/0NlAe6KrxFSIiIrM0tCLm7tujz4PANwl7vHZFZUWiz4PR7tuAdYmnrwW2z7N9bY3tcggouZM1DXQVERGpZd4gZmZLzGxZfBs4C3gEuBGIz3y8CPhWdPtG4MLo7MnTgeGodHkrcJaZrYia9M8Cbo0eGzWz06OzJS9MvJa0udnN+gpiIiIisUZKk6uAb0YrGjngK+7+XTO7H7jBzC4GngMuiPa/GXgrsBmYAN4P4O57zOxy4P5ovw+7+57o9u8BVwM9wC3RhxwCgniyfnlFrMkHJCIi0kLmDWLu/jRwco3tLwBn1tjuwKV1Xusq4Koa2zcAr2rgeKXNlLxyoKtWxERERGZosr6kalazvnrEREREyhTEJFWBU3GtSc0RExERmaEgJqkKrzVJojTZ3OMRERFpJQpikqpSNNDVzMiYSpMiIiJJCmKSKo8u+g2QzZhKkyIiIgkKYpKq8FqTYRAzM501KSIikqAgJqlx9/JAVwhniak0KSIiMkNBTFITL35lk6VJDXQVEREpUxCT1MT9YNGCWNisr9KkiIhImYKYpCa+wHdcmsxk1CMmIiKSpCAmqSmXJhM9YiX1iImIiJQpiElqZpUmM6aBriIiIgkKYpKacmkyatbXQFcREZFKCmKSGo9WxCpKk+oRExERKVMQk9TMWhFTs76IiEgFBTFJTblHLD5rUgNdRUREKiiISWpqDnRVDhMRESlTEJPUzJQmKX/WipiIiMgMBTFJzayBrrrot4iISAUFMUlNHLoqrzWpICYiIhJTEJPUBFWT9bUiJiIiUklBTFITr35ZebI+mqwvIiKSoCAmqQlqDXRVEhMRESlTEJPUVPeIaaCriIhIJQUxSc1MaVI9YiIiIrUoiElqgiD8rNKkiIhIbQpikpqZHrHwfiYzE85EREREQUxSFF9rUqVJERGR2hTEJDXx5YwqrzWpICYiIhJTEJPU1Bzoqh4xERGRMgUxSU31QNdsxjTQVUREJEFBTFIza46YobMmRUREEhTEJDXVk/XVrC8iIlJJQUxSE69+ZTIzzfoKYiIiIjMaDmJmljWzB83sO9H9F5vZvWa2ycy+Zmad0fau6P7m6PHjEq/xoWj7E2Z2dmL7OdG2zWb2wcV7e9JMcejKJMZXqDQpIiIyYyErYn8APJa4/zHgE+5+ArAXuDjafjGw192PBz4R7YeZnQS8G3glcA7wuSjcZYHPAucCJwHvifaVNleKJ+tXXGuyiQckIiLSYhoKYma2Fngb8IXovgFvAr4e7XINcH50+7zoPtHjZ0b7nwdc7+7T7v4MsBk4LfrY7O5Pu3seuD7aV9pceUUs+i7LqllfRESkQqMrYp8E/hSIL1BzJLDP3YvR/W3Amuj2GmArQPT4cLR/eXvVc+ptn8XMLjGzDWa2YWhoqMFDl2aJZ4ZlNFlfRESkpnmDmJm9HRh09weSm2vs6vM8ttDtsze6X+nu6919/cDAwBxHLa2gVH3WZEYDXUVERJJyDezzc8CvmtlbgW6gj3CFbLmZ5aJVr7XA9mj/bcA6YJuZ5YB+YE9ieyz5nHrbpY3FmSteEcuaLnEkIiKSNO+KmLt/yN3XuvtxhM32d7j7e4E7gXdGu10EfCu6fWN0n+jxO9zdo+3vjs6qfDFwAnAfcD9wQnQWZmf0NW5clHcnTTVTmgzvZzKoWV9ERCShkRWxev4MuN7MPgI8CHwx2v5F4EtmtplwJezdAO6+0cxuAB4FisCl7l4CMLMPALcCWeAqd994AMclLSJuzNe1JkVERGpbUBBz97uAu6LbTxOe8Vi9zxRwQZ3nfxT4aI3tNwM3L+RYpPVVzxHLZlSaFBERSdJkfUnNzPgKrYiJiIjUoiAmqZk10NU00FVERCRJQUxSM2uga0YDXUVERJIUxCQ1cRDLaqCriIhITQpikppS9WT9jIKYiIhIkoKYpKYcxDKJga4qTYqIiJQpiElq4sWvmTliGugqIiKSpCAmqSl59WT98IZGWIiIiIQUxCQ11T1icdO+hrqKiIiEFMQkNe5VlziKPqtPTEREJKQgJqmJB7pmEuMrYKZ3TERE5HCnICapqe4Ry2Yqt4uk4Wdb93HnE4PNPgwRkYYs6KLfIgvh7mQMrGpFTKVJSdM//+ApNg2O8Ssnrmz2oYiIzEsrYpKaUuDl8AXJ0qSCmKRnuhiQLwbNPgwRkYYoiElqSu7lBn2YadrXipikqVAKKJQUxESkPSiISWrcZ0ZWQOKsSa2ISYryRQUxEWkfCmKSmlLg5VUwmGnaVw6TNBVKKk2KSPtQEJPUlAInsSA2M9BVpUlJUb4UUCjpe0xE2oOCmKTGvWpFTD1ichAUiq7SpIi0DQUxSU3JvbJHTANd5SAolAKKgeuapiLSFhTEJDWlYGaGGGigqxwc+Wg1rBBoVUxEWp+CmKQmCLwcvkADXeXgiMuS6hMTkXagICapCeqWJvULUtITBzCdOSki7UBBTFJTcq8qTWqOmKQvDmBq2BeRdqAgJqkJZs0RU2lS0hf3iGlFTETagYKYpCZwNNBVDip3T/SIKYiJSOtTEJPUhKXJmfu61qSkrRR4OeirWV9E2oGCmKQmCFzXmpSDKhm+tCImIu1AQUxSE1RP1o9CmQZtSlryifCVVxATkTagICapKQUz4QtmrjWpHCZpSTboF9SsLyJtQEFMUhO4k0kOdI0n6yuJSUqS5Uj1iIlIO1AQk9RUD3SdWRHTL0hJR2UQ04qYiLQ+BTFJTSnwcoM+zDTrK4hJWgrqERORNjNvEDOzbjO7z8x+ZmYbzexvo+0vNrN7zWyTmX3NzDqj7V3R/c3R48clXutD0fYnzOzsxPZzom2bzeyDi/82pRkC94oeMQ10lbTlizprUkTaSyMrYtPAm9z9ZOAU4BwzOx34GPAJdz8B2AtcHO1/MbDX3Y8HPhHth5mdBLwbeCVwDvA5M8uaWRb4LHAucBLwnmhfaXOlqvEVWa2IScoqVsTUrC8ibWDeIOahsehuR/ThwJuAr0fbrwHOj26fF90nevxMCy84eB5wvbtPu/szwGbgtOhjs7s/7e554PpoX2lzgVPZrB9lskC/HyUlefWIiUibaahHLFq5+ikwCNwGPAXsc/ditMs2YE10ew2wFSB6fBg4Mrm96jn1tkubC4I6pUmtiElKkiMr8jprUkTaQENBzN1L7n4KsJZwBesVtXaLPludxxa6fRYzu8TMNpjZhqGhofkPXJqqVDXQtVyaVI+YpKRiRUylSRFpAws6a9Ld9wF3AacDy80sFz20Ftge3d4GrAOIHu8H9iS3Vz2n3vZaX/9Kd1/v7usHBgYWcujSBIFTc0VMOUzSoksciUi7aeSsyQEzWx7d7gHeDDwG3Am8M9rtIuBb0e0bo/tEj9/h7h5tf3d0VuWLgROA+4D7gROiszA7CRv6b1yMNyfNFZYmZ+5n44GuKk1KSjRHTETaTW7+XVgNXBOd3ZgBbnD375jZo8D1ZvYR4EHgi9H+XwS+ZGabCVfC3g3g7hvN7AbgUaAIXOruJQAz+wBwK5AFrnL3jYv2DqVpSoGuNSkHV+UcMX2fiUjrmzeIuftDwGtrbH+asF+sevsUcEGd1/oo8NEa228Gbm7geKWN1JsjpvEVkpbpolbERKS9aLK+pKY6iMWrYxroKmkpqFlfRNqMgpikZlZpUgNdJWUFrYiJSJtREJPUuFN5rcl4oKtymKQkPmuytzOrHjERaQsKYpKakjvZ5FmTutakpCyeI7akK6dLHIlIW1AQk9SUqifrqzQpKYvLkb2dWZUmRaQtKIhJamaXJrUiJunKFwNyGaMrl1EQE5G2oCAmqSkFXi5HwkxpUjlM0lIoBXRkM3RkFcREpD0oiElqSu5kEt9h8W0NdJW0FEpOR9boyGbUrC8ibUFBTFITVPeIxaVJ9YhJSvKlgM5chs5sRnPERKQtKIhJagKvnCOWVbO+pKxQDH7mQj4AACAASURBVOjMZujImUqTItIWFMQkNbPOmtS1JiVlhVJAR049YiLSPhTEJDWBU+cSR806IjnUhT1iGfWIiUjbUBCT1ISlyZn7M5P19QtS0jFdDM+a7NSKmIi0CQUxSU11adLMMFMQk/QUSgGdWaMjqx4xEWkPCmKSmsC9YqArhLPENNBV0lKIz5rM6axJEWkPCmKSmsCpGOgKYc+YcpikJTnQNa8VMRFpAwpikppSMHtFLJNRaVLSk08262tFTETagIKYpCIeUVGVw1SalFQV4mb9XIaCzpoUkTagICapiFe9apcm9QtS0hFO1lezvoi0DwUxSUV8GaPZpUnTQFdJTbJHrBi4vtdEpOUpiEkqgmgxIlO1IpbNmK41KakpX+IoGmBXCLQqJiKtTUFMUlEuTVZ9h2VMk/UlPfmS0xFd9BtQn5iItDwFMUlFuTRZo0fMtSImKQkHumboyIbfd5olJiKtTkFMUjFz1mSN0qT6diQlYY+Y0ZHLlO+LiLQyBTFJRRy2stXN+qYeMUlPPnGtSUBDXUWk5SmISSriRa9aA12VwyQNQeAUAy/PEQP1iIlI61MQk1QEroGucnDFZ0h25mbOmtR0fRFpdQpikopyabJGs75Kk5KGePWrYnyFSpMi0uIUxCQVwRwDXXXWpKQhPkOyI2vlsybVIyYirU5BTFIRz9GsXhFTaVLSEq9+VcwRU2lSRFqcgpikYuYSR5XbTQNdJSXT5RWxTGJ8hUK/iLQ2BTFJRVBnoGtWpUlJSbwiph4xEWknCmKSiqDOHDFda1LSUm7Wz2XUIyYibUNBTFIx1yWO1CMmaSj3iGWT15pUEBOR1jZvEDOzdWZ2p5k9ZmYbzewPou1HmNltZrYp+rwi2m5mdoWZbTazh8zsdYnXuijaf5OZXZTYfqqZPRw95wqzqt/e0nbiZv3ZQUwDXSUd+VLyrEkFMRFpD42siBWBP3b3VwCnA5ea2UnAB4Hb3f0E4PboPsC5wAnRxyXA5yEMbsBlwBuA04DL4vAW7XNJ4nnnHPhbk2aKe8Rqlia1IiYpiM+Q7ExO1i/qe01EWtu8Qczdd7j7T6Lbo8BjwBrgPOCaaLdrgPOj2+cB13roHmC5ma0GzgZuc/c97r4XuA04J3qsz93v9rCL+9rEa0mbKgW1J+troKukJZ8YX9Gha02KSJtYUI+YmR0HvBa4F1jl7jsgDGvAymi3NcDWxNO2Rdvm2r6txvZaX/8SM9tgZhuGhoYWcuhykJXqDXQ1nTUp6VCPmIi0o4aDmJktBb4B/KG7j8y1a41tvh/bZ290v9Ld17v7+oGBgfkOWZooDluzBrqqNCkpyRcTlzjKRWdNaqCriLS4hoKYmXUQhrDr3P0/os27orIi0efBaPs2YF3i6WuB7fNsX1tju7SxUr1m/YyhGZuShvIcsZya9UWkfTRy1qQBXwQec/ePJx66EYjPfLwI+FZi+4XR2ZOnA8NR6fJW4CwzWxE16Z8F3Bo9Nmpmp0df68LEa0mbKveIVX2HZWxmxpjIYkqWJnOZeI6YvtdEpLXlGtjn54D3AQ+b2U+jbX8O/D1wg5ldDDwHXBA9djPwVmAzMAG8H8Dd95jZ5cD90X4fdvc90e3fA64GeoBbog9pY3VLk2blMypFFlMyiJkZndmMVsREpOXNG8Tc/UfU7uMCOLPG/g5cWue1rgKuqrF9A/Cq+Y5F2kepzviKjHrEJCX5xLUmw8+mi36LSMvTZH1JRRy2qmfzZgytiEkq4jJkfMZkR04rYiLS+hTEJBVx1qo10FULYpKGmWb9eEUsox4xEWl5CmKSinhFrLpHLGOmZn1JRaE4c4kjQD1iItIWFMQkFXGPWPVVQzVZX9JSKAWYzazCdqo0KSJtQEFMUuFzXGtSPWLSiCd2ji5o9TRf8vIZkxA16yuIiUiLUxCTVMS//2adNWlGoN+NMo+teyY4+5M/5K4nB+ffOZIvBuVGfYh6xHTRbxFpcQpikorytSZnlSbR+AqZ19DYNACDI9MNP6dQCsr9YRA36yv1i0hrUxCTVHg5iKk0KQs3MV0CYDxfavg5hVJQPmMSomZ9zRETkRanICapKJ81WWOgq4KYzGdsugjAePS5EflSUB7mCtCRU4+YiLQ+BTFJRflakzUGuqo0KfOJA9h4vvEgVij5rB4xBTERaXUKYpKKeNUrU33WpGmgq8xvIr/wFbFCsWpFTANdRaQNKIhJKuKwNWuga0YDXWV+Y3GP2HTjPWL5UkBHbub7TQNdRaQdKIhJKsqlyarvsKwGukoDxvejR6xQ3SOmOWIi0gYUxCQVQZ2zJtWsL40Y248esVpzxHTWpIi0OgUxSUUw57Umm3FE0k7iHrGxBZQmZ42vyKlHTERan4KYpCL+/TerWT+DSpMyr7g3bGJBpUmf1ayv0qSItDoFMUlFENSbrG8aXyHz2p85YtWT9XXRbxFpBwpikoqgzkW/454x16qYzGGmNLmwHjE164tIu1EQk1SU5rjEEWioq8wt7g2byJcaDu35Uo1m/ZJrXIqItDQFMUlFMMdkfVCfmMwtLkkWA2e6wTMfq5v149Wxgs4OEVlUU4US//KDp7TivEgUxCQV5YGuNa41CaAcJnOZSIytaLRPrLpZP14dK+jMSZFFdffTL/B/b3mc+5/d0+xDOSQoiEkqSnWa9eNxFipNylzGposcuaQTCMuTjZh9iSMrbxeRxTMyWYg+N97DKfUpiEkqAnfMwGrMEQOVJqW+YilgqhCwsq8baLxhv/oSRx25eEVMQUxkMZWD2FShyUdyaFAQk1SUAp81zBUSpUn9bpQ6xqMVsJXLuoDKMmU97l6zWR/CgCYii2dkKvw3GQcyOTAKYpKKwGcPcwXIqllf5hEHrziINTJdvxQ47lSUJrty6hETSUMcwEanVJpcDApikorA514RU4+Y1BM356/s66q4P5c4bNU8a1IrYiKLqrwiptLkolAQk1SUAp/VqA8a6NpM//ng8/zT955o9mHMK14BW7ks7BFrJIjF5cfqSxxBOOhVRBZPHMDUrL84FMQkFYF77dJkRs36zXLTwzv42v1bm30Y84qvL7lqQStiYdjqTFziqHzWpFbERBbVTGlSK2KLQUFMUhEEPmuGGCQGuqo0edANTxYYboPm2vgsyYF4RayB8RWFGitimiMmkg6VJheXgpikouQ+a6o+JEuTB/uIZHiiwHQxYKrQ2FyuZhmPmvVX9HaQy1hjpclijdJkTqVJkTSMqjS5qBTEJBWBz768Eehak820bzIffp5o7f/Fjkc9Yku7cizpyi2oNNmhZn2R1MUBbHS6tX+WtAsFMUlFWJqcvV0DXZsnDmCtXp6Mg9eSrhxLu3INja/IF6OzJmtM1tccMZHFpWb9xaUgJqkIz5qsP74i0IrYQTVVKJUvnr1vIt/ko5nb+HQRM+jpyNLbmW1ooGu5WT8xWb9TK2Iii26qUCJfDMhljNGpgs6AXwQKYpKKuqXJaJty2MGVXAXb1+IrYmPTJXo7smQyxpKuXEOXOKrVrK/SpMjii1fDjlneQ+CNnUwjc5s3iJnZVWY2aGaPJLYdYWa3mdmm6POKaLuZ2RVmttnMHjKz1yWec1G0/yYzuyix/VQzezh6zhVWfXFCaUuB1z5rMv49qR6xgyvZF9bqpcmJfJElXTkg7BPb7zli8WT9or7XRBZLPE1/zfIeQJc5WgyNrIhdDZxTte2DwO3ufgJwe3Qf4FzghOjjEuDzEAY34DLgDcBpwGVxeIv2uSTxvOqvJW2o3kBXK6+I6ZfjwZQMX8Mt3qw/Nl1kaRTEwtJkIz1i9cdXqEdMZPHEwWvNiiiIaYTFAZs3iLn7D4E9VZvPA66Jbl8DnJ/Yfq2H7gGWm9lq4GzgNnff4+57gduAc6LH+tz9bg8LzdcmXkvaWN2BrgpiTZHsC4vPnmxV49OVK2KNlSZnN+urR0xk8cUzxNbGQUwN+wdsf3vEVrn7DoDo88po+xogObp7W7Rtru3bamyvycwuMbMNZrZhaGhoPw9dDoZ615rU+IrmSPaFtXppcjxforczC7Dg8RUV15rMabK+yGIrr4hFpUlN1z9wi92sX6u/y/dje03ufqW7r3f39QMDA/t5iHIwlOpM1o+zmVbEDq74h+dRS7vaYI5YojTZlV3gZP3kJY40WV9ksZV7xFSaXDT7G8R2RWVFos+D0fZtwLrEfmuB7fNsX1tju7S5UjDTD5YUhzMtiB1c+yYKZDPGmhU9rb8ilixNdubIF4N5V7Vq9Yjlou81TdYXWTxx8Fq3oje8r9LkAdvfIHYjEJ/5eBHwrcT2C6OzJ08HhqPS5a3AWWa2ImrSPwu4NXps1MxOj86WvDDxWtLG3GsPdI3LlSpN7p8943lefdmt3P3UCwt63r7JPP09Hazo7Wj5IDY2XWJJV1ia7I0C2cQ8Q13LPWKJ0qSZ0ZnNqDQpsohGJgvkMsbKvi5ApcnF0Mj4iq8CdwMnmtk2M7sY+HvgLWa2CXhLdB/gZuBpYDPwr8DvA7j7HuBy4P7o48PRNoDfA74QPecp4JbFeWvSTKU6PWLlsyYVxPbLM7vHGZ0usnH78IKet2+iwPKeDvp7Olq+NDmRL7KkM27WDwPZ2DxDXfPFMKh1VKX/jqxpRUxkEY1MFejr6aArl6Urlyk378v+y823g7u/p85DZ9bY14FL67zOVcBVNbZvAF4133FIeykFrtJkCoZGp8LPY9MLet7wZPjDc3lPa6+IBYEzkS+VS5Px5/ka9uMVsWSPGISzxBZrRWy6WCKXydTsfRQ5XIxOFVnWHf677Ovp0ByxRaDJ+pIKd+Ye6Kpm/f0yOBoGsKHRhQex5b0d9Pd2MjJVaNnS8Hg+vs5kdNZkZ2NBLF/jrEkIV8jyi9Ss/9ZP/Refv2vzoryWSLsamSzQ190BQF93rty8L/tPQUxSUQpUmkzD4Mj+BbFkadK9dfs64uGts1fE5usRi5r1M5U/0harR2y6WOKpoXEe2zl6wK8l0s5Gpor09YT/Lpd1d+isyUWgICapKLlT62JVGuh6YAbj0uR+rIj1R6XJ+H4rioe3Li0HsWzF9noKpfAixNVDhDuytihBLA7AgyNTB/xaIu2sYkWsDUuT7s6tG3e2VO+ogpikwutea1JnTR6IOIDtXkCPWClwRqYK9Pd2srw3/AHaqg37cQmyNypJxqXJiXma9Qsln9WoD2GpclGCWBSAd40sLACLHGoqesTasDT5xK5RfvdLD3DLIzuafShlCmKSCg10TUfcI/bCeJ5igwFjdKqAOyzv6ZgJYi36v9i4BFnuEWuwWT9fDGY16kPUI7YIF/2OA9iukSlc37tyGBuZmlkRa8fS5LY9kwA8v2+yyUcyQ0FMUlFyDXRNw+DoNNmM4Q57Jhq7ZmRchlzeG/aIJbe1mvGq0mT8eWyeHrF8KZjVqA9hEFuMFbFdUUlyuhhogKUctgqlgIl8ib6euDSZY2Sy2Fb/OdkR/VveOdw6bQYKYpIKd6fGAoUGuh6AUuC8MDbNSweWAI33icVlyP6eDvp7OgEYbjDEHWzxWZNxabK7I0PGGihNFoOKC37HFqtZP1mS3DXaOj/ARQ6muAzZVy5NdpAvBUy3UL/VfHYOhythOxTE5FBXvzSpZv399cL4NIHDSav7gAUEsRorYq3aI1bdrG9mLOnMNdSs31FrRSy3SM36ifA1qD4xOUzFjfkzK2Lh53YqT+7YpxUxOUzMN9BVK2ILFweAVx7TDyxkRSxc/erv6aQzl6G3M9uypcmJqh6x8HauoYGutZr1F2uO2ODINEcsCVcTd+nMSTlMxStiyxJzxKC9rjcZr4RpRUwOee7UnCM2M77iYB9R+4uD1yuPiVbEGjxzMv5fbLwatryno2Wb9ceqzpoE6O3KMp6fv0esbhBbhLLJrpEpXrUmDMAqTcrhKl75SpYmk9vbwc7oP1K7x6ZbZoSFgpikolRnfEX5rEklsQWLy2PrjuhlWVduv3rEAPp7O1u2NDk+XaSnI1vxvbO0gRWxfDGgs0ZT4uL1iE3x4iN7WdadU2lSDluzS5NhIGuXERbuzvZ9k+Wzx1tldVtBTFIRBD5ruCYkSpPqEVuwOAAMLOtiYFnXgnrElnRmy2cV9vfkWnYI43jiOpOx3s5suWRZT6HuitiB94hN5kuMTBVZ2dfNqr7ulvnhLXKwlVfEembGVwAt+/Ok2r6JAtPFgNeuWw7MrI41m4KYpKLkTq1rI8+Mr1AQW6ihsWn6unN0d2Q5amnjQSyeqh9b3tPJvskWPWtyuljRHwbhilgjzfp1x1ccYPkhXolc1dfNqr4uBTE5bM30iLVnaTLuC3vti1ZU3G82BTFJReC1rzWZ0bUm99vgyDQr+7qBcFWs0R6xfRPhVP3Y8t6Oli5NLumsXBFb0pUrj7WoJz/HZP0DbdaPh+iuXNbFqmXdmq4vh62RyQJmsDT6N9pupcmdI+HoitdFQSweZdFsCmKSiiCgZmky3qSzJhducHSKlcu6ABZUmhyezJevMQlhr1irnjU5ni+WR1fEejtz81/0u1i/Wf9AS5PxCtiqvm4G+sI/93YaYCmyWEamiizrypV/tsf9nO1Smtweja44YdVSlnbltCImh7ZSMF9p8iAf0CFgcHS6IoiNThWZKswdUCAsTcbNqQD9vR1MF4OGnnuwjU+XapQmsw2MrwjozNVo1l+Ea03GK2Cr+sIVsXwpaNkVRZE0jUwWyv1hEM756+vOtU1pcufwFNmMcdTSLo7u726ZWWIKYpKKoM5Zkxn1iO0Xdw+DWFyaXBoGskYu/r1vYnaPWLy91YxPF+ntml2anCyU5lxFrT++4sCb9QdHpujMZejv6WBV9OevERZyOBqZKpYb9GN9PR1tU5rcMTzFqmVdZDPG6v5urYjJoS1wL/eDJWV0iaP9MjJVJF8MygFsIFoZm6886e7smyzQ31tZmoTWvN7k2HSx3H8Si3vG5rrM0dylST+gUuKukSlW9XVhZqzq64q2qU9MDj/hBb8r/332dXe0TWlyx/Akq5f3AHB0n1bE5BAXliY10HWxDEUrMCv7FhbEpgoB+WJQXgUDymXKfS14vcmJGuMr4vtz9YnlS173rEkIJ+/vr10j06xaFq6ElVfEdOakHIaqS5MQnkE50iYrYjuHpzi6P/w3vLq/m8HRKYqLMGfwQCmISSoCp05pMn5cSWwhkjPEkp/nO3NyuGqqfvJ2q62IuTvj+dnjK+L7c42wKJTqX/Q7fnx/DY5OzQrAgwpichganSqWR1bE+ro7GG2DHjF3Z8fwFKuj/0wd3d9D4I1foSRNCmKSiqDOiphKk/tnZoRC+EPkiCWdmM2/IhbPC1teozTZapc5msiXcGf2ilgjpclSQEeNyfrxtgMKYiPT5T/37o4sy3s7VJqUw9LIZKE8QyzW15Nri2tNjkwWmSyUKlbEoDVmiSmISSrqDnQ1Nevvj8Gq0mRHNsOK3s75g1jUkJ8cXxGHsuEWa9aPZ4XVK03OtyJWs0csKlfu7zXlxqeLjE4XyyVJgFXLust/HyKHiyBwxvLFGqXJjrY4a3J7NDPsmLhHLApirdAnpiAmqZj3rEmtiC3I0Og0XbkMyxIhZaCB6frDVdeGg3BSfTZjLVeajHvAlnTOnqyffLxaEDiFOgNd4235/VwRi1ci4yZ9CMOwVsTkcDM6XcSdms36E/nSfq8675vIH5S5fHHg0oqYHDbqDXSFcKirrjW5MOHoivDMvVgj0/XjVa9kadLM6O/paLnLHMWzwmZdazLqEatXmiwE4S+AWs36nQfYrJ8c5hpbuaxbPWJy2Km+4Hcsnq4/th8N+488P8z6j3yfWzfuPPADnEccuOIA1t/TQXdHpiWm6yuISSpKdS5xBGETvxbEFibZpxRrZLr+TI9YZ8X25T2td5mjOIhVT9ZfOk9pMg5ZNZv1cwfWrD8TxGZWxFb1dTE4Oq1VXTmslC/4XWNFLPn4Qnz6jk0UA+eWRw5GEJskm7Hyz1EzY3V/z5wrYpP5El+6Z8sBzyKcj4KYpKLeZH0IG/b1S2xhkpc3isVBbK5l/eHJArmMzSr39fe23mWO4h6x3qpjje/Xm64fX9S7drP+gfWIxUF3IBGCV/V1UwycPS04/kMkLfHQ1uqzJuPm/YU27D+xc5RbN+6iuyPDD54cSv0Erh3D4c/QZMvMfLPEvnb/c/zVfz6S+oqdgpgsujgY1C9Nms6aXKDk5Y1iA0u7mC4Gczaxx1P1rWp1shWvNzkW9YBVr4jFZ03W6xGL/7faUXOO2IGdNblrZIrujkzFKsDMUFeVJ+XwUb80Gd5f6AiLz965mSWdWf7ibSexb6LAT7fuW5wDrSM5Qyw233T9mx7eAZD6ip2CmCy6OGTNVZpUj1jjpgolRqeK5csbxRoZ6lo9VT/WyqXJ6h6xTMbo7ax/vcm4Eb9Ws/6B94hNs6qvuyLIxn8Pg2rYXxTTxRJv+qe7+MJ/Pd3sQ5E5jNRZEduf0uTTQ2N856Ht/OYbj+VXTz6GbMa48/HBxTvYGrYPT5b7w2JH93eza2SqZoVm5/AU9z+7l97OLHc+PshkPr1r8yqINWjLC+MH5cyOQ0Fp3hUx0B9l48rlsaWzS5PJx2sZnihUjK6ILe/tbLkVsXIQq7rEEUBvZ47xOj8I47JjrR6xjkXoEVtV1ZsXN+5rhMXi+O4jO3l6aJwrf/h06r04sv/iFbHqOWL7U5r83F1P0ZnL8Du/8BL6ezo49dgV3PlEekHM3dk5PMXq/p6K7av7wzaD3eOzf4beHK2GffDclzORL/GDJ4dSOz4FsQZ8+Z4t/NL/u4sv3/tcql/nu4/sZMOze1L9GgdDHLJqDXSFMKCpNNm4+Bf+QF+dIDbHmZPDk5UX/I719YSzf1rp76E8vqJqsj7A0q76K2Lxalda4ytWVv+5L9X1JhfTl+7eQndHhsHR6QPqxXF3/uo/H+Hau59dtGOTGXGP2OyBrgtbEdu6Z4JvPvg87zntRRwV/Vv6lRNXsnH7SGrl/pGpIhP5Uo0VsTCY1eoTu+nhHbz86GW857QXsaK3g1se2ZHKsYGC2Lwe2LKXv/32RjIGn/r+pjmnex+IJ3eNculXfsLvXLuh5VYqFqpcmqzz3ZU1lSYXIi6BVfeIxT/E5i5N5medMQlhadJ94X0daRrPF+nKZcjV+MZZ0pWbI4jVH19R7hHbz2b98ILflT+8O3MZjljSqR6xRfDYjhE2bNnL/37zy1i7oocv3b1lv1/r9scG+dI9W/jIdx7juRcmFvEoBcKgtaQzO+vf57KuHGY0fL3Jz921mawZv/uLLy1v+5WXDwBwV0qrYtUzxGL1Zolt3zfJA1v28vbXrKYjm+Gsk47m9scGmSqkU55UEJvD4OgUv3/dA6zu7+FfL1zP7rFprv7xs4v+ddydv7lxI70dWfZNFrji9k2L/jUOpnJpco4VsVYp8+4dz/Pb19zPOz79ozmb3pspXvGqHl+xvKeDXMbmDmITtVfEytP1Wyj0j08XZ/WHxZZ05spnVVab6RGb/f1Wq0es0e+9senwf9GrqlbEIAzFWhE7cF++ZwtduQzvev06fvP0Y7n3mT08sXN0wa9TKAX83c2PceyRvWQzxse++3gKR3t4q3XBbwh/ni/tzJVLl3O575k9XH//Vt57+osqQtGJq5axur+bOx9Pp/wXT9Wv1SMGs1fE4rLkW1+9GoBzX300Y9NFfrRpdyrHpyBWR6EU8IHrHmR4ssC/vO9UznzFKn7lxAH++a6nFv2X180P7+THT73An55zIu9av45rfvwsTw+NLerXWAyNjpzwaPGhbhCzdK41uXH78ILGFPx06z7edsV/8cMnd7Nx+zAf+o+HWyYgJg2OTJPNGEcsqVzZymSMo+aYrl8KnNGpYs0gVr7eZAs17IdBbHZZEsJyZd2zJufqESuXJsPnfuK2Jzn1I9/nvmfmbwGIV7yqAzCEfWLN7BFzd77+wDa+et9zLfk924jRqQLffPB53nHyMSzv7eTX16+jM5fhS/c8u+DXuu6eLTy9e5y/fvtJ/O4vvYSbHt5xSLR5tJKRqdnXmYz19XSUS5f1TOZL/OnXf8baFT38yVknVjxmZvzyiSv50ebd+z1qZi47y8NcK3vEjujtpDObmbUidtPDOzhpdR8vGVgKwBkvPYq+7hw3p1SebJkgZmbnmNkTZrbZzD7YzGMZnSrwZ994iPue3cPHfu01vGJ1HwB/cvaJjEwV+dcfLt7ZPRP5Ih+96VFesbqP33jDsfzxWSfS3ZHl725+bNG+xmL4wZNDnPZ33+eSBkqn8YpYrUscQVSaXMR/a+PTRf7ohp/ytit+xHv+9R52zzNtPgica+9+lgv++ceYGV//vTfyx2edyLd/tp0v37P/pZG0DI5OceSSzpp/nnNN14//h7q81lmTva134e+x6VLNRn2YrzQZ9YjVKk3GzfpF59O3b+JTt29iqlDioqvu4+6nXpjzeMpBrMaK2Kq+rqaVJgdHpvifV9/Pn/z7z/jQfzzM5d95rC3n8n3zweeZyJd43+nHAuGF7N/xmmP45k+eX1DJfHiiwKdu38QZLz2SN718JZf84ktY1dfF5TcdnD+X3WPTbNo1ypO7Rnli5yibB0cpHoInHYxOFWedMRlb1p2bt0fsH7/3BM++MMHHfu01NVe+3/TylYxNF9mwZfED9I7hKTI201cby2SMVf1dFdP1t+2d4MHn9vG216wub+vMZXjLSUdz26O7UgmKtX/qHWRmlgU+C7wF2Abcb2Y3uvujB/M4SoFzw4at/NP3nmD3WJ7/9abjOe+UNeXHX3lMP29/zWqu+u9nuOiM42b9pUL4Q3LjjhFOXrt81gpGLZ+78ym2D0/xqfe8lmzGGFjWxQfedDx/f8vj/NemIX7hhIEFHf8PNw3x7xu2MlUIeMfJqznrpKPrlnsafc1Pff9JPn3n+s50uwAAIABJREFUZl50RC93PD7Ir37mR3zuva/jlcf013xO3LNTd6DrIpYmH985wqXX/YSnd4/za69by00Pb+e8z/w3/3rhek46pq9i3yCa4PzpOzbx+M5R3vTylXz8109meW8nrzqmnw3P7uHy7zzGyeuW85q1y+f92u7O2HSRpV25WXO6qg2OTvHI88O8es3ymt839Tw1NMZD24ZrhgEIf7DUCwT75ghi/T3h9+bwZIGfPLeXz96xmQ1b9vJrr1vLJb/4klm9FItheKLAw88P09WRYXV/N6v6uunIZiiUAvaO53lhfHrWDLHYks4co9NFNg+OsnlwjKeGxqPPYzw1GK4e93TMXk2Ly5VfumcLDz8/zP947Rr+7NyX894v3Mv7r76Pqy56PWccf1TNrxn35lX3iMXbdo/lKQW1r6mahiBwvrtxJ3/xzYeZyJe47B0nsW3vJF/80TPsGZ/m/11wcs0TFlqRu/Ple7bwmrX9nLxu5t/a+954LN/4yTa++eDzXPjG4xp6rc/cuYl9kwX+4m2vwMzo7czxf85+OX/y7z/j2w9t57xT1rBvIs+dTwzywlie1x93BK88pq9mL2It+WLAyFSBkckCI1NFRiYLbNs7yYYte3hgy1621OhH6+nIcvK6fk49dgWvXrOclw4s4UVH9tKVq73iezBMF0vc+fgQP9u2j1ev6ee0Fx9R7jOdKpR4bMcImwfHePXafk5ctWzWz7SRqULN1WGITv6Z4z91G57dw1X//QzvO/1Yznhp7X9vZ7z0SDqzGe58fLDmPkHgDI5Os6rqUm+N2LFvkoFlXTX/fazuq5yuf8vD4Qkjb3v16or93vrqo/nGT7bx46d288snrlzQ159PSwQx4DRgs7s/DWBm1wPnAXWD2N6JPNfdu4XpQsB0MWC6WCJfDG/nMkZPZ5beziw9nTl6O+LbWUqBMzQ6ze6xaXaP5SmUApzwB8ODz+3j8Z2jvP64FVz1W6+v+cv4j97yMm55ZCd/8+2NvO3Vq+nuyJDNZHjwub3c8fggD20bJnwPcPLa5fzyiQO88ph+chkjmzEyZkzki4xOFdk7kefKHz7N+accw+uPO6L8Nd7/c8fxlXuf4/LvPMpfv/2VOI57eCHt+Fjdw8AzXQyYLgRs3TvBNx7YxvbhcPWkuyPLHY8P0tPxCG8+aRVHLe0kXwzIF8P3e8SSTo5c0smRS7vozGUolgKKgRMETi6boSuXoTOX4dq7n+W/N7/ABaeu5cPnvYpHdwxz6XUP8j8+92P+/K2v4GWrlpWPe/PQGD94Yoi7nwrr6EvrLGNnM8bPtu3js3du5ui+blb2dZE1I45m+VLA2FSRseki49PFcDJ8V45l3Tk6shn2jOfZPZZn5/Ak19+/lb6eDq67+A2ccfxR/NYZx/E7127gnf/8Yz701lewvKeD8eki+yYLfP2BbWweHOMlA0v4+K+fzPmnrCmP2MhkjI//+im8/dM/4vev+wkfOf9VBO7ki85kocjgyDQ7R6YYHJlm18hU+Xa+FDCwrIv1x67g1GNX8IrVfZgBDsXA+enWfdz++CA/i4YVmsEp65bz5les4pR1y+uWb7fvm+RrG7Zy3zN7yGWMP3zzCTX3G1jaxU+37iuv7jhOvhgwmS/x5K4woCzvmf0fgrg0+ZHvPMrg6DQrejs47cVHcM3dz/Lle7Zwwfq1vOWkVRU/8GqF51pxOgjCgDo6FX5seWGcB7bsZdNgZbndDJZGASt21kmrar7Ppd05hkanefPHf1jedkx/Ny9duZQL1q/jlcf0lVeuk7qy4S++h58f5u2vWc0/vPM15LIZvvo7p/PeL9zD+6++n9//5ePp78nRmcuWv++7chnufSb8M60VxFb2dVMKnM/csZkdw5M8uWuUYuAcP7CU41ct5SVHLSVwZ+9Enr3jefaMF9g3kWfPRJ69E2HT80sGlvDSgaUce2QvhpV/jhUT/WyBO0/vHuehbft4aNswo1NFXr2mn0+86xSOX7kUd+fIpZ38w3efYO9EgXe9fl35Z2GhFIbErIU/e+KP/7+9M4+TrKjy/feXmZWVtVdXVe8LvYGILC102/gQQWgVnXk6LoC48gZk9OMGn2Ec9PkUx6fI6NOZkVFcRhhxQVFBQBwQZVGbphfolWHrhW6Wbrq6equ9Kuu8PyKyKis7a2mo7qyG8/186pNx48aNe+LUjYgTJ+LeSCVEouC3q6eP7fs62b63kx37OkklE0yoLGNCZZq6ijJSyYLrJVLJ8JtMCKH+PWTbunrZ19lLa2cvCUF1pozq8hTV5SkSsR98alc7j+9o5Z/fdeIgvS6YWc+JM+q4fukWptRmKEslSCcTiNAu9GaN3r4+urNGb7aP9u4s/7n0Kc49ZcaggeE7Xz2d65du5it3/Dc/W76VFVt2D1oOUV2eYtHsCcydWE1TdTmN1Wkq00m2NLexcWcbG3e2sn1vJ/s6e+jsKe4BaahKs/CoCbxv8Sym1lUgheUYnT1Z1j69l4e27uba+zb13zchmD6hgjlN1cxtqmJOUxUzJlQE/UmIcL0EAvostANPtbSxZVd7kKejh32dPezv7KW+ooz5k2s4elJ4hoLB2NtvEDVVp5lYU05tpow/PdnMb9c+x96OHpT3+aB5E6tIp5I8vmP/IP3MaarinOOncNKMep7d08HWlna2NLczP07VFVKbSfHIs/u4cflWajJl1GRSpPLWbP7vm9czvb6CK95ybNHrIXi9F89t4JbVz5JIiGl1FUypy7CtpZ1lm1pYsaWFvR09NFSlWTyngcVzGpg/qYasGdm+8Lxn+4zevnDc2dNHS1uof0s37up/Q7KQKXUZlm7cxbX3beTZPR3ctWEHx0+vZXZT1aB0rzu6ieryFN+9bxNP7+6gMp0kU5akt8/o7MnS1ZOls6ePzp4snb0hXJ5K0FhdTlN1msaqoQfgGg/rCyS9GzjHzC6Oxx8AFpvZx4e6pnzq0Tb1Q/8yKK4sKdLJBD19Nir3YU15ivKyBMRGpKEqzSfOOpq3njBlWIv7yls3HLBoX4JXz6zn7FdO5qQZ9ax8qoV7Hwujj+FUPKU2w28+ftoBjf1dG7ZzyQ2rRixD/v1fN7+JC14ziyWvnEwqIVZt3c0tDz/DnRu209XT19/BGLCrrXtUOipPJfjS24/nvEUz++OaW7v45M8eZmmRqZ0ZEyo445iJnHHMRM5+5eSi3oIv/GY9v1nz7Iten1RRluS0+Y1c9c4TB3mZnt/XyYdvWNVv/OR4xeQaPn7WfN56wtQhvRirt+3h3GuXFv0AaFU6yeS6DJNrMkyuLWdyXYb6ijSP79jPii0tPL27+OaxJ82sZ8mxk3j1rAmsemo3f3h0R7/BPhyzGys5f9Es3nXK9CFHotf88Qm+ftfjQ+aRTIg7L3098ycNbkB7sn2c/KXfkylLcsnpc3nv4llUlafY1tLOd+7byE0rt73gj6AWUldRxsmz6jnlqAksmDmBrBnb93bw3N5O9rT3MKEyTUN1mqaqNAtnNxT1GG7a2cpta57jqMZK5k2sZu7EqlF5ert6s5z0xbs445iJXPPekweNiHe1dnHhdStY98zQ/4vGqjSr/s8bD4j/0xM7+cB/LO9PM39SNWXJBE8+38r2Ih7KqnSS+so0DVVp6ivDepqNO1tHXFcDkEqIY6fWcOKMek6eNYG3L5h2wMj+xuVb+ezN6170Hq656Ztsn7G7/dB+3mRCZRlLrzibioItrW5++Gku+/maUefTWJXmjk+dfkAbunxzC+/9/jLmT6pmySsns+S4yUyty7B8cwvLNu1i+eYWntnTQXvB9+lyBv60ugrqKsuozaSorSijNlNGbUWK2kwZE2vKmdVQOaJnpr27lyd2tLK5uY1NzW1sbm5jc3Mrm3e2DfldvEJSCTFjQgXT6iuoryyjpjwYOrvaunkieojzjcWaTAqMQQOcTFmCN79qCu949XROndvII8/tY/nmFpZvbqG3zzhhei0nTK9j7sRqlm9u4c4NYd1y7v9flU4ys6GSS5ccwznHTzlAxq/f+RjX3PPkkGWQ4McXLea0IbzPOe7asJ0v3/HfPLenc9AnZ2Y3VrJ4TiOvmFLDhmf3sWzTLp7ZM7rNuivKkjRUpcMg/fVzDzj/r3c/wTfvDm1oXUUZU+syfOrso3lLgUcM4HO3rOPHy0b+jFUyITKpBF29wcGR46mr/3qVmS0sTD9eDLFzgTcXGGKvMbNPFKS7BLgEYPrMo05Ztf5RylMJylNJ0qnEoM4122e0d/fS0Z2lPf519PSSUJj+a6ouJ1NkKmM0mBlbW9rp6Mn2e+TmTqzqd/Pms7utm22728n2GX1m9GaNynTw7tTECj7UdMITO/azu70njrQgZzDmRk85w6q8LEl1earoouzhytDWnWVXaxc9WSOVGBjh9maN7myw6CfVlB/wRXcI+l29bc8gY25ybTlzmqpG7Tbu6M6yY19n2EDZDBHKlkyI2kyK6kyKynSK3mwfbV1ZWrt66c720VCZprE6PWxH3N3bx+M79lOeSlBVnqKqPEVtZuQpRAhrBLbv7aQsmaAsmSBTlmBSbWbIabMcO/Z1smlnG0D//2l2U2VRIyo/bTGqypMcP61uyI/i5ujsybJm255BHXA6laAynaQqnaKusmzI5+L5/Z3UZsqK1oPn93eyreXAhq6Y+gqjElK/vmsyZWTKEgc9lTCW7NzfRWNVuqguzYz27gFvenf0SnXF48m15cyYUFn0uke372dSTTmNBfV+X2cPm3e29X/mor6yrOiUlJnR3NrN1pY2EhLlqSTlZQlS0cMEwcM5uTYzqrbq2T0d7O/s7W8XUknR1we9fX0DvxY8Br1Z6w/nvOBTajM0Vaf7p+zMjP1dveyNBlnwPAz85TwPwVsf0kuiunygfeszaO3sZX9XD21dWfry+pvp9RXMbCiu283NbbR3Z+nJBk9Hn1msjyKVSJBOhd9UMrzEUjnE2sLOnuyIumvv7mVXazetXb3Maqh8UUs5RouZsbO1i2f3dEZjJ8xyGMGjbIR6NbWugmn1mWGnUbN9RnNrF5nYD+T6wc6eLDv3d9HS1s28SdUjtl+F7GnvZsuudmZMqKCxKj1sHc49K8ELHjx2+Ub8pJry/oXvo6Gvz9jV1s32vZ1MrCkvulRiW0s7z+7pIBWfiWTsw1KJcFyWStBQmT7A0C+kJ9vHtpb2UbXxuXJ29tsUWVIJkSlLxr8EmbJkf59uZuzr6KW5rYvm/V2cOq9pXBtirwWuNLM3x+PPAJjZVUNds3DhQlu5cuVhktBxHMdxHOeFI6moITZeVnauAI6WNEdSGngPcGuJZXIcx3EcxzmkjIvF+mbWK+njwJ1AEvihmW0osViO4ziO4ziHlHFhiAGY2R3AHaWWw3Ecx3Ec53AxXqYmHcdxHMdxXna4IeY4juM4jlMi3BBzHMdxHMcpEW6IOY7jOI7jlAg3xBzHcRzHcUqEG2KO4ziO4zglwg0xx3Ecx3GcEuGGmOM4juM4TolwQ8xxHMdxHKdEuCHmOI7jOI5TItwQcxzHcRzHKRFuiDmO4ziO45QImVmpZXhBSNoPPFZqOcYxTUBzqYUY57iOhsf1Mzyun5FxHQ2P62dkXko6OsrMJhZGpkohyRjxmJktLLUQ4xVJK10/w+M6Gh7Xz/C4fkbGdTQ8rp+ReTnoyKcmHcdxHMdxSoQbYo7jOI7jOCXiSDbEvldqAcY5rp+RcR0Nj+tneFw/I+M6Gh7Xz8i85HV0xC7WdxzHcRzHOdI5kj1ijuM4juM4RzRuiDmO4ziO45SIMTPEJL1Dkkk6Ni/ua5I2SPraMNedKen2MZJhoaR/G+b8bEnvHYt7HU4kZSWtlrRG0kOS/scY5fsDScfF8BZJTWOR76FG0hRJN0raKOkRSXdIOmYM8r1S0uVDnFv6YvMfKyRNlvRTSZskrZL0gKR3vMC8LpVUOdYyFrlP66G+x8GSL5Okt0p6QtKsUspUamIbfkPecUrSzrFqo18K5LXH6yXdJqn+MN573NUjAEmNUSerJW2X9EzecbpEMt0pqaYU9z5YxtIjdgHwZ+A9eXF/B5xsZv8whvcZEjNbaWafHCbJbOCIM8SADjNbYGYnAZ8BripMICl5sJma2cVm9shYCHi4kCTgZuBeM5tnZscBnwUmH8r7mtmYGL8vllj+W4D7zWyumZ1CqHMzXmCWlwKH3BAbz0g6G/gWcI6ZbS21PCWmDTheUkU8fiPwzMFkIOlI/j7laMi1x8cDLcDHSi1QqTGzXVEnC4BrgW/mjs2su0QyvdnM9pfi3gfLmBhikqqB04CLiIaYpFuBKuBBSedLmidpmaQVkv6pwLKvlvRLSY9K+knsbJD0+Zh+vaTv5cXfK+lqScslPS7p9Bjf712TdEaeRf5wtIy/Cpwe4y6LHrI/RS9Tv6cp5nNvMZnGAbXAbuiX8x5JPwXWxbhbopdkg6RLYtzb8nTxmKTNMf5eSUfah/LeAPSY2bW5CDNbDbwxr4zPSLoOQNL743OyWtJ3cwarpHPi/3yNpD/k5X9c1MsmSf1Gfe55lVQt6Q/x2nWS3n5YSj3AWUB3QfmfMrNvSbpQ0jV5Mt8u6cwY/o6klfG5+GKM+yQwDbhH0j0x7k0KHraHJN0U63bOY/qVeG6lpJPjiHOjpI/ENCPqZhzor1Ce04HvA39lZhtj3FFRxrXxd1aMPze2RWsk3R/jMpKui2V5WNIbYvyDkl6Vd597JZ0iqSHW0bUK7eGJh7/UI/I74K9i+ALgZ7kTQ8mv4E3+nqS7gB8No5ekpK/H+LWSPhHjF0laGnW7XFLNUHmMMx4ApgNI+rakt8XwzZJ+GMMXSfq/MXxA+xzjWyV9OZZ/maTJMX5OrHMrJH0pL/24qkfDoeA1zJX54hiXkrRH0ldjmR+QNCk+H6vz/jolnSbp1JjmYUl/kXR0zOdihX76TgWP9lV5931a0VtZTIZxhZm96D/g/cB/xPBSghcMoDUvze3ABTH8kdw54ExgL2FEnyA82K+L5xryrr8B+J8xfC/w/2L4rcDdeXndHsO3AafFcDVhF4H+8zG+EsjE8NHAypFkKsUfkAVWA49GuU7Jk7MNmJOXtiH+VgDrgcaCvH4BfCxPjwtjeAvQVKoyHoQuPkkYbQ11vg5YC5wCvDI+B2Xx3LeBDwITgW05veXp7Mr4/JYTttXYlXdt7nlNAbUx3AQ8SXz7uNTlBy4Ersk7vh04s6CMyfh/P7Hw/x7Lcz9QFY//Efh8XrqPxvA3o45roi6fH0k340V/BfrqIXg0TiyIvw34UAz/LXBLDK8Dpsdwffz9e+C6GD4W2ApkgMuAL8b4qcDjMfwt4AsxfBawuhRlH0YnrcCJwC9jOVYzuF0tKn+sO6uAihH08lHgV0Aq91wCaWATsCjG1cbnpGge40FHNlCXbiJ4UiE4Ib4Ww8uBZTF8HfDmXHnj76D2GTAG+rd/Bj4Xw7cCH4zhj43HelREP1cCl+cd58pcCTwCTIjyG/CWeO4bwBUF+fwNcF9MWwckY/w5wM9j+GLgCUJbVEFo16fFc08zUE8PkKHUesr/G6upyQuAG2P4xnhcyGsJDy3ATwvOLTezp82sj1DxZ8f4N8SR5TpCpX9V3jW/jr+r8tLn8xfgGwqj/noz6y2Spgz4fsz/JuC4UchUCnKu8GMJD+GPpH4P3XIz25yX9pOS1gDLgJkEAxMASZ+Oef374RL8cBJ18hOCobIKOJtgkK2QtDoezwVOJUztbQYws5a8bH5rZl1m1gw8z4FTngK+ImktcDdhNHxIp0WHQ9K/xxHlihGSnifpIeBhQj06rkiaU2P8X6K+PgQclXf+1vi7DnjQzPab2U6gM448R6Ob8aS/HoLhfVFB/GsZaKNuAF4Xw38Brpf0YUInTDx3A4CZPQo8BRxDGPCcG9Ocx0Dbl5/+j0CjpLqxK9KLx8zWEtq7C4A7Ck4PJ/+tZtZRJF2+XpYA1+ba41j3XgE8Z2YrYty+eH6oPEpNRawfuwiG5O9j/J8IMy7HETr7HZKmEp6n3BrTodrnbsLACQb3aacx4JHsX7vH+KpHI3FZLPMDBOfGvBjfYWa/i+FB/bjCWvOrgPPjs1AP/FrSeuDrDLYF7o5tUQfBWVFsnedQMowLXvRcvqRGgpF0vCQjNFAWO/3R0pUXzgIpSRmCB2OhmW2TdCVhRFV4TZYi5TCzr0r6LcFjtkzSkiL3vQzYAZxE8Hx1DifTQZTnkGFmDygsqs9tHNqWO6cwDbUEeK2ZtUu6l6gzhXUw5wKvP6wCjz0bgHcPce5K4Gkzuy4eC/hPM/tMfqI4fTDUB/RG+r+/j6D7U8ysR9IWBj+Xh5oNwLtyB2b2sfg8rAR6GbzcIPe/nwNcTvA47JZ0PcVlFvB7Mys2kIIB3fQxWE99BD2NRjel1l8+fQQj6W5JnzWzrwyRLrgszD4iaTFh2m61pAUEnR14gdkzknYpTN2dT1gvyxDpx+PHHG8ldHhnAo158cPJ3zZCulx8YXmLxQ2XR6npMLMF0QC9neCp+rf4P59AGCzfTzDSziN4sfYP1z4TllvkdFDY7hTTzXiqR0MS+93XA6eaWYekPzMgZ/7asf4yKywj+jlwkZltj+e/DNxpZt+WNB/4r7xrh22zR5BhXDAWHrF3Az8ys6PMbLaZzQQ2MzCKzLGMgQ7kPYxMTlHNCutUhup8iyJpnpmtM7OrCZ3UscB+ggszRx1hJNYHfICBUe64JY4UkoTRWCF1wO5YyY8leDiQdBTBqD0vb8R6pPJHoDx6JYD+9SVfICwszn9Z4w/AuyVNiukaoi4eAM6IBgqSGg7i/nWEqbgehTUrR410wRjzRyAj6aN5cbnF9luABZISkmYCr4nxtYROcm9ce/KWvGvz68Qy4LTY0CGpUgf3NupodFNq/Q3CzNqBvwbeJynnGVvKQBv1PsJLSLk25UEz+zzQTPBo3B/TEHU1C3gsXnsj8GmgzszWxbj89GcCzWa275AV8IXzQ+Cf8uTOMVr5h9LLXcBHFBf0x7r3KDBN0qIYVxPPD6fbkmNmewntzeWSymL0A4QXYO4neMguj78wRPs8An9h8LOYY1zVo2GoA1qiAfQqYNFwieOsxvXAd80s/031OgZeGrnwUMpQCsbCy3MBYRF8Pr/iwLcTLwV+LOnvgd8S1joNiZntkfR9wjTIFmCkqZdCLo0PaJbgJv4dYQTcG12U1xOMk19JOhe4h8EjuvFEzhUOYZT4ITPL6sD3B/6L0MitJTRYy2L8hYRR7c3xmmfN7K2HXOpDgJmZwqca/kXSFQQv5haCMTINWB7LeKuZfV7S54C7JCUIU1EfM7NlCgtlfx3jnycYcaPhJ8BtklYysG7vsBHL/zfAN6PXeSfhuf1HQqO9mVBn1gMPxWvWSHqY4E3bFNPl+B7wO0nPmdkbJF0I/ExSeTz/OeDxUYo3Gt2UVH/FMLMWSecA90tqJnSuP5T0DwT9/q+Y9GsKi4RFMPLXEOS/VmF5Qy9woZnlRui/BP4V+NLA3bgSuC7W0XbC9O+4w8yeJsheyJWMTv5vU0Qvkn5AmF5cK6kH+L6ZXSPpfOBbCm9rdhA8R0XzGLtSvnjM7OHYn7yHMHX4J+BNZvakpKcIXrGcITZU+zwcnwJ+KulThH41x7irR0PwW+CSqKNHgQdHSD+XsDZsngZeZrgQuJpQJz9N6KsPpQyHncO2xZHCt4o6YkfyHsLC/XH7pofjOI7jOM6h5nCuezoFuCa6HvcQ3kZyHMdxHMd52eKbfjuO4ziO45QI32vScRzHcRynRLgh5jiO4ziOUyLcEHMcx3EcxykRbog5jlMSJE2RdKPCfpWPSLrjIL9bNlL+ZyruH/sCrp0q6S6F/Wg7FPa9e0TSj/K+GfVC8v2BwpfXHcdxADfEHMcpAfHt6ZuBe81snpkdB3yWsd2m5UygqCGW+6DoMJwD3BnDG81sAXACYXuU816oQGZ2sZk98kKvdxznpYcbYo7jlII3ELZ1uTYXYWargT9L+pqk9ZLWxQ995rxbub34kHRN/PgskrZI+qKkh+I1x0qaDXyEsMfcakmnS7pe0jck3UP4OOsTkibGPBKSnlTYLgqCIZbbBy8nX5awmfP0eE0yyrpC0lpJf5eX17clbZB0e/T0vTueu1fSwhi+IMq7XtLVeWVrlfRlhT1ElynshuA4zksUN8QcxykFxxM2+i3kncACwv6vSwgG09RR5NdsZicD3wEuN7MtwLWEDeAXmFnu6+bHAEvM7DLgxwxsG7MEWGNmzZKSwCsKPVcK+98uZmCfu4uAvWa2iLBtyocVts16J2ED4xOAiwmbPlOQ1zTC18LPiuVdFHdMAKgClpnZSYStcj5ceL3jOC8d3BBzHGc88TrgZ2aWNbMdwH2Mbm+4X8ffVQQjaChuip4tCPspfjCG/xbIbRa/mMHboMyLW4ztAraa2doY/ybgg/Hcg4RtxI6OZbjJzPripsXFtmRZRJiW3WlmvYQta14fz3UTNpMeTXkcxznCcUPMcZxSsIGw20YhB2ygGullcHuVKTif24Mwy/A7hvTvJ2tm24Adks4iGF+5qci3MOD1goE1YvOBUyW9LU/WT0SP2wIzm2Nmdw1ThnyGS9NjA1/aHqk8juMc4bgh5jhOKfgjUC6pf9pN0iJgN3B+XH81keAlWg48BRwnqVxSHXD2KO6xH6gZIc0PCFOUv8jzlJ1N2NR7EGb2HHAF8JkYdSfw0dxblJKOkVQF/Bl4V1wrNpnw0kAhDwJnSGqKU6EXELx/juO8zHBDzHGcw070+LwDeGP8fMUG4Ergp8BaYA3BWPu0mW2P3qtfxHM/AR4exW1uA96RW6w/RJpbgWritGQ0/jrNbN8Q6W8BKmN+PwAeAR6StB74LsF79SvgaSAX9yCwt6D8zxEMuntiWR8ys9+MokyO47zE8L0mHcd52RLfYPzUDD57AAAAg0lEQVSmmZ0ej98PzDCzr77IfKvNrFVSI8Gjd1pcL+Y4jjMIX3vgOM7LEklXAB9l4M1JzOzHY5T97ZLqgTTwJTfCHMcZCveIOY7jOI7jlAhfI+Y4juM4jlMi3BBzHMdxHMcpEW6IOY7jOI7jlAg3xBzHcRzHcUqEG2KO4ziO4zgl4v8DRFuTAt3ZIIoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Queremos visualizar la cantidad de casos por pais\n",
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country['3/18/20'].plot()\n",
    "plt.title(\"Confirmados por pais\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Utilizar un grafico lineal no tiene sentido cuando quiero ver categorias. En los graficos anteriores utilizamos series temporales (fechas). Las fechas asumen valores discretos y tienen un orden, aunque tambien puede considerarse como categorico en algunas ocasiones.\n",
    "\n",
    "En el caso de paises, datos categoricos, no existe una relacion entre ellos. No tienen un orden. En este caso podemos intentar un grafico de tipo torta o 'pie'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 99.99% de las veces no usar pie\n",
    "# con muchas categorias no use, no sera claro\n",
    "# si voy a usar pie tengo que pensar en el area, en proporcion, si se usa pie se compara por areas\n",
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country['3/18/20'].plot(kind='pie')\n",
    "plt.title(\"Confirmados por pais\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Otra opcion es usar el grafico de tipo barras, cambiamos el argumento a kind=bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country['3/18/20'].plot(kind='bar')\n",
    "plt.title(\"Confirmados por pais\")\n",
    "plt.show()\n",
    "# quiero ordenar? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Puedo usar sort_values para ordenar\n",
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country['3/18/20'].sort_values(ascending=True).plot(kind='bar')\n",
    "plt.title(\"Confirmados por pais\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualizar los primero 10 paises\n",
    "plt.figure(figsize=(10,7))\n",
    "confirmed_by_country['3/18/20'].sort_values(ascending=False)[:10].plot(kind='bar')\n",
    "plt.title(\"Confirmados por pais\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observacion**: Tenemos datos, pero debemos enfocarnos en el contexto que es el área de la epidemiologia. Para extraer información en este contexto debemos manejar otros conocimientos. \n",
    "\n",
    "El conjunto de datos solo tiene casos confirmados, no sabemos la letalidad, no tenemos la incidencia\n",
    "Cuáles son las provincias infectadas? no puedo comparar con toda la poblacion de China ya que los casos varian segun la region.\n",
    "Son aspectos a tener en cuenta a la hora de producir informacion de valor"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}