PrincipiosDeVisualizaciones.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Principios de Visualización de Datos pata BI\n",
    "by @juniorpeves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country (or dependency)</th>\n",
       "      <th>Population (2020)</th>\n",
       "      <th>Yearly Change</th>\n",
       "      <th>Net Change</th>\n",
       "      <th>Density (P/Km²)</th>\n",
       "      <th>Land Area (Km²)</th>\n",
       "      <th>Migrants (net)</th>\n",
       "      <th>Fert. Rate</th>\n",
       "      <th>Med. Age</th>\n",
       "      <th>Urban Pop %</th>\n",
       "      <th>World Share</th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>45267449</td>\n",
       "      <td>0.93%</td>\n",
       "      <td>415097</td>\n",
       "      <td>17</td>\n",
       "      <td>2736690</td>\n",
       "      <td>4800.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>32.0</td>\n",
       "      <td>93%</td>\n",
       "      <td>0.58%</td>\n",
       "      <td>LATIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>106845</td>\n",
       "      <td>0.43%</td>\n",
       "      <td>452</td>\n",
       "      <td>593</td>\n",
       "      <td>180</td>\n",
       "      <td>201.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>41.0</td>\n",
       "      <td>44%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>LATIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bahamas</td>\n",
       "      <td>393893</td>\n",
       "      <td>0.97%</td>\n",
       "      <td>3762</td>\n",
       "      <td>39</td>\n",
       "      <td>10010</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>32.0</td>\n",
       "      <td>86%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>LATIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>287437</td>\n",
       "      <td>0.12%</td>\n",
       "      <td>350</td>\n",
       "      <td>668</td>\n",
       "      <td>430</td>\n",
       "      <td>-79.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>40.0</td>\n",
       "      <td>31%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>LATIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Belize</td>\n",
       "      <td>398845</td>\n",
       "      <td>1.86%</td>\n",
       "      <td>7275</td>\n",
       "      <td>17</td>\n",
       "      <td>22810</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>25.0</td>\n",
       "      <td>46%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>LATIN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Country (or dependency)  Population (2020) Yearly Change  Net Change  \\\n",
       "7                Argentina           45267449         0.93%      415097   \n",
       "9                    Aruba             106845         0.43%         452   \n",
       "13                 Bahamas             393893         0.97%        3762   \n",
       "16                Barbados             287437         0.12%         350   \n",
       "19                  Belize             398845         1.86%        7275   \n",
       "\n",
       "    Density (P/Km²)  Land Area (Km²)  Migrants (net)  Fert. Rate  Med. Age  \\\n",
       "7                17          2736690          4800.0         2.3      32.0   \n",
       "9               593              180           201.0         1.9      41.0   \n",
       "13               39            10010          1000.0         1.8      32.0   \n",
       "16              668              430           -79.0         1.6      40.0   \n",
       "19               17            22810          1200.0         2.3      25.0   \n",
       "\n",
       "   Urban Pop % World Share Region  \n",
       "7          93%       0.58%  LATIN  \n",
       "9          44%       0.00%  LATIN  \n",
       "13         86%       0.01%  LATIN  \n",
       "16         31%       0.00%  LATIN  \n",
       "19         46%       0.01%  LATIN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('population_by_country_2020.csv')\n",
    "Q1 =df[(df['Region'] == 'LATIN')  & (df['Med. Age'] > 0)]\n",
    "Q1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# libraries\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "colors = np.random.rand(len(Q1['Country (or dependency)']))\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "# use the scatter function\n",
    "plt.scatter(Q1['Country (or dependency)'], \n",
    "            Q1['Med. Age'], \n",
    "            s=(Q1['Population (2020)']/50000), \n",
    "            alpha=0.9, \n",
    "            c=colors)\n",
    "plt.xticks(rotation=90)\n",
    "plt.ylabel(\"Med. Age\")\n",
    "# show the graph\n",
    "plt.savefig('BubbleChart.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>NOMBDEP</th>\n",
       "      <th>COUNT</th>\n",
       "      <th>FIRST_IDDP</th>\n",
       "      <th>HECTARES</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AMAZONAS</td>\n",
       "      <td>84</td>\n",
       "      <td>01</td>\n",
       "      <td>3930646.567</td>\n",
       "      <td>POLYGON ((-77.75893 -6.96451, -77.84586 -6.976...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANCASH</td>\n",
       "      <td>166</td>\n",
       "      <td>02</td>\n",
       "      <td>3596224.600</td>\n",
       "      <td>POLYGON ((-77.31749 -8.53015, -77.28903 -8.589...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>APURIMAC</td>\n",
       "      <td>80</td>\n",
       "      <td>03</td>\n",
       "      <td>2111415.170</td>\n",
       "      <td>POLYGON ((-72.47177 -14.66140, -72.57725 -14.6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AREQUIPA</td>\n",
       "      <td>109</td>\n",
       "      <td>04</td>\n",
       "      <td>6325588.935</td>\n",
       "      <td>POLYGON ((-75.07333 -15.44294, -75.04965 -15.4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AYACUCHO</td>\n",
       "      <td>111</td>\n",
       "      <td>05</td>\n",
       "      <td>4350381.783</td>\n",
       "      <td>POLYGON ((-74.34595 -12.17374, -74.32187 -12.2...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    NOMBDEP  COUNT FIRST_IDDP     HECTARES  \\\n",
       "0  AMAZONAS     84         01  3930646.567   \n",
       "1    ANCASH    166         02  3596224.600   \n",
       "2  APURIMAC     80         03  2111415.170   \n",
       "3  AREQUIPA    109         04  6325588.935   \n",
       "4  AYACUCHO    111         05  4350381.783   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-77.75893 -6.96451, -77.84586 -6.976...  \n",
       "1  POLYGON ((-77.31749 -8.53015, -77.28903 -8.589...  \n",
       "2  POLYGON ((-72.47177 -14.66140, -72.57725 -14.6...  \n",
       "3  POLYGON ((-75.07333 -15.44294, -75.04965 -15.4...  \n",
       "4  POLYGON ((-74.34595 -12.17374, -74.32187 -12.2...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url_geojson = \"peru_departamental_simple.geojson\"\n",
    "region_geojson = gpd.read_file(url_geojson)\n",
    "region_geojson2 = gpd.read_file(url_geojson)\n",
    "region_geojson.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>DEPARTAMENTO</th>\n",
       "      <th>Numero de Universidades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AMAZONAS</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANCASH</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>APURIMAC</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AREQUIPA</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AYACUCHO</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  DEPARTAMENTO  Numero de Universidades\n",
       "0     AMAZONAS                        3\n",
       "1       ANCASH                        4\n",
       "2     APURIMAC                        3\n",
       "3     AREQUIPA                        7\n",
       "4     AYACUCHO                        3"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Universidades.csv')\n",
    "Q2 = df.groupby('DEPARTAMENTO').size().reset_index(name='Numero de Universidades')\n",
    "Q2.head()\n",
    "# df1 = DataFrame.groupby(Column).size().reset_index(name='Total')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>NOMBDEP</th>\n",
       "      <th>COUNT</th>\n",
       "      <th>FIRST_IDDP</th>\n",
       "      <th>HECTARES</th>\n",
       "      <th>geometry</th>\n",
       "      <th>DEPARTAMENTO</th>\n",
       "      <th>Numero de Universidades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AMAZONAS</td>\n",
       "      <td>84</td>\n",
       "      <td>01</td>\n",
       "      <td>3930646.567</td>\n",
       "      <td>POLYGON ((-77.75893 -6.96451, -77.84586 -6.976...</td>\n",
       "      <td>AMAZONAS</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ANCASH</td>\n",
       "      <td>166</td>\n",
       "      <td>02</td>\n",
       "      <td>3596224.600</td>\n",
       "      <td>POLYGON ((-77.31749 -8.53015, -77.28903 -8.589...</td>\n",
       "      <td>ANCASH</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>APURIMAC</td>\n",
       "      <td>80</td>\n",
       "      <td>03</td>\n",
       "      <td>2111415.170</td>\n",
       "      <td>POLYGON ((-72.47177 -14.66140, -72.57725 -14.6...</td>\n",
       "      <td>APURIMAC</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AREQUIPA</td>\n",
       "      <td>109</td>\n",
       "      <td>04</td>\n",
       "      <td>6325588.935</td>\n",
       "      <td>POLYGON ((-75.07333 -15.44294, -75.04965 -15.4...</td>\n",
       "      <td>AREQUIPA</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AYACUCHO</td>\n",
       "      <td>111</td>\n",
       "      <td>05</td>\n",
       "      <td>4350381.783</td>\n",
       "      <td>POLYGON ((-74.34595 -12.17374, -74.32187 -12.2...</td>\n",
       "      <td>AYACUCHO</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    NOMBDEP  COUNT FIRST_IDDP     HECTARES  \\\n",
       "0  AMAZONAS     84         01  3930646.567   \n",
       "1    ANCASH    166         02  3596224.600   \n",
       "2  APURIMAC     80         03  2111415.170   \n",
       "3  AREQUIPA    109         04  6325588.935   \n",
       "4  AYACUCHO    111         05  4350381.783   \n",
       "\n",
       "                                            geometry DEPARTAMENTO  \\\n",
       "0  POLYGON ((-77.75893 -6.96451, -77.84586 -6.976...     AMAZONAS   \n",
       "1  POLYGON ((-77.31749 -8.53015, -77.28903 -8.589...       ANCASH   \n",
       "2  POLYGON ((-72.47177 -14.66140, -72.57725 -14.6...     APURIMAC   \n",
       "3  POLYGON ((-75.07333 -15.44294, -75.04965 -15.4...     AREQUIPA   \n",
       "4  POLYGON ((-74.34595 -12.17374, -74.32187 -12.2...     AYACUCHO   \n",
       "\n",
       "   Numero de Universidades  \n",
       "0                        3  \n",
       "1                        4  \n",
       "2                        3  \n",
       "3                        7  \n",
       "4                        3  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "region_geojson = region_geojson.merge(\n",
    "    right = Q2,\n",
    "    left_on= 'NOMBDEP',\n",
    "    right_on= 'DEPARTAMENTO',\n",
    "    how = 'left'\n",
    ")\n",
    "region_geojson.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_geojson.plot(column='Numero de Universidades',\n",
    "                    legend=True,\n",
    "                    legend_kwds= {\n",
    "                        'label':'Numero de Universidades',\n",
    "                        'orientation':'horizontal'},\n",
    "                    cmap='YlGn',\n",
    "                    figsize=(12,12)\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     DEPARTAMENTO      2017\n",
      "0        AMAZONAS  0.379384\n",
      "1          ANCASH  1.083519\n",
      "2        APURIMAC  0.405759\n",
      "3        AREQUIPA  1.382730\n",
      "4        AYACUCHO  0.616176\n",
      "5       CAJAMARCA  1.341012\n",
      "6          CALLAO  0.994494\n",
      "7           CUSCO  1.205527\n",
      "8    HUANCAVELICA  0.347639\n",
      "9         HUANUCO  0.721047\n",
      "10            ICA  0.850765\n",
      "11          JUNIN  1.246038\n",
      "12    LA LIBERTAD  1.778080\n",
      "13     LAMBAYEQUE  1.197260\n",
      "15         LORETO  0.883510\n",
      "16  MADRE DE DIOS  0.141070\n",
      "17       MOQUEGUA  0.174863\n",
      "18          PASCO  0.254065\n",
      "19          PIURA  1.856809\n",
      "20           PUNO  1.172697\n",
      "21     SAN MARTIN  0.813381\n",
      "22          TACNA  0.329332\n",
      "23         TUMBES  0.224863\n",
      "24        UCAYALI  0.496459\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = pd.read_csv('pob-censo-peru.csv')\n",
    "df2 = pd.concat([df1['DEPARTAMENTO'], df1['2017']/1000000], axis=1)\n",
    "df2 = df2[df2.DEPARTAMENTO != 'LIMA']\n",
    "print(df2.sort_values(by=['DEPARTAMENTO'], ascending=True))\n",
    "\n",
    "region_geojson2 = region_geojson.merge(\n",
    "    right = df2,\n",
    "    left_on= 'NOMBDEP',\n",
    "    right_on= 'DEPARTAMENTO',\n",
    "    how = 'left'\n",
    ")\n",
    "region_geojson2.head()\n",
    "\n",
    "region_geojson2.plot(column='2017',\n",
    "                    legend=True,\n",
    "                    legend_kwds= {\n",
    "                        'label':'x Millones de Habitantes',\n",
    "                        'orientation':'horizontal'},\n",
    "                    cmap='YlOrRd',\n",
    "                    figsize=(15,15)\n",
    "                    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Choosing Colormaps in Matplotlib](https://matplotlib.org/stable/tutorials/colors/colormaps.html)\n",
    "\n",
    "[Mapping and Plotting Tools - Geopandas](https://geopandas.org/en/stable/docs/user_guide/mapping.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df3 = pd.read_csv('pob-censo-x-anho.csv')\n",
    "df3 = df3.drop('LIMA', axis=1)\n",
    "plt.figure(figsize=(12,8))\n",
    "plt.plot(df3.AÑO, df3['AMAZONAS'],'b.-', label='AMAZONAS')\n",
    "plt.plot(df3.AÑO, df3['ANCASH'],'r.-', label='ANCASH')\n",
    "plt.plot(df3.AÑO, df3['APURIMAC'],'g.-', label='APURIMAC')\n",
    "plt.plot(df3.AÑO, df3['AREQUIPA'],'y.-', label='AREQUIPA')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[428467, 586214, 732092, 826399, 955023, 1063459, 1083519]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df3['ANCASH'])"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "4d98b7e3cc6317f94188f90528b13f1fb68fd3d95611955c54dac90dbe90a35a"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}