Credit_card_approval_R.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Credit card approval R.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "ir",
      "display_name": "R"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/nestorsgarzonc/Data-Science-Proyects/blob/master/Credit_card_approval_R.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UO-VaLr0EtFq",
        "colab_type": "text"
      },
      "source": [
        "#Importar librerias necesarias"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uMqtkYmWE3K8",
        "colab_type": "text"
      },
      "source": [
        "## Descargar paquetes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xy1rDKDBOXyv",
        "colab_type": "text"
      },
      "source": [
        "Al instalar los paquetes puede tardar aproximadamente 5 minutos\n",
        "\n",
        "Nota: mnormt es una dependencia del paquete psych, se intala una version anterior por compatibilidad de version con la 2.0 de mnormt\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9qeBa8tjQhxY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "packageurl <- \"https://cran.r-project.org/src/contrib/Archive/mnormt/mnormt_1.5-7.tar.gz\"\n",
        "install.packages(packageurl, repos=NULL, type=\"source\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V1xBjU5qD9Qu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "install.packages(\"psych\", repos='https://www.icesi.edu.co/CRAN/')\n",
        "install.packages(\"dplyr\")   #Resumenes estadisticos\n",
        "install.packages(\"ggplot2\") #Graficos en general\n",
        "install.packages('RCurl')   #Paquete para obtener archivos desde internet\n",
        "install.packages(\"modeest\") #Calcular moda\n",
        "install.packages(\"dplyr\")   #Agrupar datos\n",
        "install.packages(\"fdth\")    #Graficos descriptivos\n",
        "install.packages(\"ggpubr\")  #Grafico de medias"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S0lp1Ge_E7Ub",
        "colab_type": "text"
      },
      "source": [
        "##Cargar paquetes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lM6qVfc7EzbM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "library(\"ggplot2\")\n",
        "library(\"psych\")\n",
        "library(\"dplyr\")\n",
        "library (\"RCurl\")\n",
        "library (\"modeest\")\n",
        "library(\"fdth\")\n",
        "library(\"ggpubr\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YtB2c83tNyq_",
        "colab_type": "text"
      },
      "source": [
        "# Cargar dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "akoe1v2pN-yk",
        "colab_type": "text"
      },
      "source": [
        "Nota: el dataset original tenia un problema de interpretacion en colab, por ello se modifico la codificacion y esta disponible ambas versiones en el siguiente repositorio: https://github.com/nestorsgarzonc/Data-analysis-R"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g8vx6PFsFfQ0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#download <- getURL(\"https://raw.githubusercontent.com/nestorsgarzonc/Data-analysis-R/master/Base_Banco.csv\")\n",
        "#data <- read.table (text = download, sep = ';', fileEncoding = \"UCS-2LE\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FUmNxFC5Fw8B",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#head(data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NkA0NvK8IZRO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#dim(data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ERTTxL2xLlOD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#colnames(data) <- as.character(unlist(data[1,]))\n",
        "#data = data[-1, ]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QfwHNG_8Dl7i",
        "colab_type": "text"
      },
      "source": [
        "Importar dataframe modificado, se descarga el dataset alojado en GitHub usando el metodo:\n",
        "\n",
        "```\n",
        "getURL('URL')\n",
        "```\n",
        "\n",
        "Como la primera columna del dataset (X) es el indice del dataset, se define como el index del dataframe\n",
        "```\n",
        "read.csv(row.names='X')\n",
        "```\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-zr8pGBmNl65",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "download <- getURL(\"https://raw.githubusercontent.com/nestorsgarzonc/Data-analysis-R/master/banco_dataframe.csv\")\n",
        "BaseBanco <- read.csv(text = download, row.names = 'X')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kpZRaE3dRncv",
        "colab_type": "text"
      },
      "source": [
        "#Exploracion de datos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AN_73olrCF6v",
        "colab_type": "text"
      },
      "source": [
        "Las variables estan definidas de la siguiente manera\n",
        "\n",
        "\n",
        "1.   **Edad**: Edad en años del cliente.\n",
        "2.   **Ocupación**: Ocupación del cliente.\n",
        "3.   **Est_civil**: Estado civil del cliente.\n",
        "4. **Nivel_educativo**: Máximo nivel escolar alcanzado por el cliente.\n",
        "5. **Contrato_meses**: Duración del último o actual contrato de trabajo del cliente.\n",
        "6. **Cred_hipotecario**: Si el cliente tiene o no crédito hipotecario vigente con el banco.\n",
        "7. **Cred_personal**: Si el cliente tiene o no crédito personal vigente con el banco.\n",
        "8. **Medio_contacto**: Medio por el cual se contactó al cliente.\n",
        "9. **Día**: Día del mes en el que se realizó el último contacto con el cliente.\n",
        "10. **Mes**: Mes del año en el que se realizó el último contacto con el cliente.\n",
        "11. **Duración_seg**: Duración en segundos del último contacto con el cliente.\n",
        "12. **Cont_campaña_actual**: Número de veces que se contactó al cliente en la campaña mencionada.\n",
        "13. **Campañas_previas**: Número de campañas de promoción en las que se ha incluido al cliente previamente.\n",
        "14. **Aceptación_TC**: Si el cliente aceptó o no la tarjeta de crédito en la campaña mencionada."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eU305SYy2KyU",
        "colab_type": "text"
      },
      "source": [
        "A continuacion se realiza la inspeccion de las 5 primeras y 5 ultimas columnas del dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MSKotsHiB0lq",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "outputId": "b48d59d6-eb6d-401f-b818-9288194a53ad"
      },
      "source": [
        "head(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  edad ocupación     est_civil nivel_educativo contrato_meses Cred_hipotecario\n",
              "0 30   desempleado   casado    primaria        21             no              \n",
              "1 33   profesor      casado    bachillerato    37             si              \n",
              "2 35   administrador soltero   universitario   52             si              \n",
              "3 30   administrador casado    universitario   27             si              \n",
              "4 59   informal      casado    bachillerato     6             si              \n",
              "5 35   administrador soltero   universitario   29             no              \n",
              "  Cred_personal Medio_contacto Dia Mes     duracion_seg cont_campaña_actual\n",
              "0 no            celular        19  octubre  79          1                  \n",
              "1 si            celular        11  mayo    220          1                  \n",
              "2 no            celular        16  abril   185          1                  \n",
              "3 si            chat            3  junio   199          4                  \n",
              "4 no            chat            5  mayo    226          1                  \n",
              "5 no            celular        23  febrero 141          2                  \n",
              "  campañas_previas aceptacion_TC\n",
              "0 0                no           \n",
              "1 4                no           \n",
              "2 1                no           \n",
              "3 0                no           \n",
              "4 0                no           \n",
              "5 3                no           "
            ],
            "text/latex": "A data.frame: 6 × 14\n\\begin{tabular}{r|llllllllllllll}\n  & edad & ocupación & est\\_civil & nivel\\_educativo & contrato\\_meses & Cred\\_hipotecario & Cred\\_personal & Medio\\_contacto & Dia & Mes & duracion\\_seg & cont\\_campaña\\_actual & campañas\\_previas & aceptacion\\_TC\\\\\n  & <int> & <fct> & <fct> & <fct> & <int> & <fct> & <fct> & <fct> & <int> & <fct> & <int> & <int> & <int> & <fct>\\\\\n\\hline\n\t0 & 30 & desempleado   & casado  & primaria      & 21 & no & no & celular & 19 & octubre &  79 & 1 & 0 & no\\\\\n\t1 & 33 & profesor      & casado  & bachillerato  & 37 & si & si & celular & 11 & mayo    & 220 & 1 & 4 & no\\\\\n\t2 & 35 & administrador & soltero & universitario & 52 & si & no & celular & 16 & abril   & 185 & 1 & 1 & no\\\\\n\t3 & 30 & administrador & casado  & universitario & 27 & si & si & chat    &  3 & junio   & 199 & 4 & 0 & no\\\\\n\t4 & 59 & informal      & casado  & bachillerato  &  6 & si & no & chat    &  5 & mayo    & 226 & 1 & 0 & no\\\\\n\t5 & 35 & administrador & soltero & universitario & 29 & no & no & celular & 23 & febrero & 141 & 2 & 3 & no\\\\\n\\end{tabular}\n",
            "text/markdown": "\nA data.frame: 6 × 14\n\n| <!--/--> | edad &lt;int&gt; | ocupación &lt;fct&gt; | est_civil &lt;fct&gt; | nivel_educativo &lt;fct&gt; | contrato_meses &lt;int&gt; | Cred_hipotecario &lt;fct&gt; | Cred_personal &lt;fct&gt; | Medio_contacto &lt;fct&gt; | Dia &lt;int&gt; | Mes &lt;fct&gt; | duracion_seg &lt;int&gt; | cont_campaña_actual &lt;int&gt; | campañas_previas &lt;int&gt; | aceptacion_TC &lt;fct&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| 0 | 30 | desempleado   | casado  | primaria      | 21 | no | no | celular | 19 | octubre |  79 | 1 | 0 | no |\n| 1 | 33 | profesor      | casado  | bachillerato  | 37 | si | si | celular | 11 | mayo    | 220 | 1 | 4 | no |\n| 2 | 35 | administrador | soltero | universitario | 52 | si | no | celular | 16 | abril   | 185 | 1 | 1 | no |\n| 3 | 30 | administrador | casado  | universitario | 27 | si | si | chat    |  3 | junio   | 199 | 4 | 0 | no |\n| 4 | 59 | informal      | casado  | bachillerato  |  6 | si | no | chat    |  5 | mayo    | 226 | 1 | 0 | no |\n| 5 | 35 | administrador | soltero | universitario | 29 | no | no | celular | 23 | febrero | 141 | 2 | 3 | no |\n\n",
            "text/html": [
              "<table>\n",
              "<caption>A data.frame: 6 × 14</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>edad</th><th scope=col>ocupación</th><th scope=col>est_civil</th><th scope=col>nivel_educativo</th><th scope=col>contrato_meses</th><th scope=col>Cred_hipotecario</th><th scope=col>Cred_personal</th><th scope=col>Medio_contacto</th><th scope=col>Dia</th><th scope=col>Mes</th><th scope=col>duracion_seg</th><th scope=col>cont_campaña_actual</th><th scope=col>campañas_previas</th><th scope=col>aceptacion_TC</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>0</th><td>30</td><td>desempleado  </td><td>casado </td><td>primaria     </td><td>21</td><td>no</td><td>no</td><td>celular</td><td>19</td><td>octubre</td><td> 79</td><td>1</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>1</th><td>33</td><td>profesor     </td><td>casado </td><td>bachillerato </td><td>37</td><td>si</td><td>si</td><td>celular</td><td>11</td><td>mayo   </td><td>220</td><td>1</td><td>4</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>35</td><td>administrador</td><td>soltero</td><td>universitario</td><td>52</td><td>si</td><td>no</td><td>celular</td><td>16</td><td>abril  </td><td>185</td><td>1</td><td>1</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>30</td><td>administrador</td><td>casado </td><td>universitario</td><td>27</td><td>si</td><td>si</td><td>chat   </td><td> 3</td><td>junio  </td><td>199</td><td>4</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>59</td><td>informal     </td><td>casado </td><td>bachillerato </td><td> 6</td><td>si</td><td>no</td><td>chat   </td><td> 5</td><td>mayo   </td><td>226</td><td>1</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>35</td><td>administrador</td><td>soltero</td><td>universitario</td><td>29</td><td>no</td><td>no</td><td>celular</td><td>23</td><td>febrero</td><td>141</td><td>2</td><td>3</td><td>no</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NYr9KrgjHwYE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 176
        },
        "outputId": "e5ad1676-9333-4fe0-8f46-8ed4a987f901"
      },
      "source": [
        "tail(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "     edad ocupación     est_civil nivel_educativo contrato_meses\n",
              "4515 32   profesor      soltero   bachillerato    69            \n",
              "4516 33   profesor      casado    bachillerato    10            \n",
              "4517 57   independiente casado    universitario   59            \n",
              "4518 57   empresario    casado    bachillerato    40            \n",
              "4519 28   informal      casado    bachillerato    59            \n",
              "4520 44   emprendedor   soltero   universitario   49            \n",
              "     Cred_hipotecario Cred_personal Medio_contacto Dia Mes     duracion_seg\n",
              "4515 si               no            celular         7  julio   624         \n",
              "4516 si               no            celular        30  julio   329         \n",
              "4517 si               si            chat            9  mayo    153         \n",
              "4518 no               no            celular        19  agosto  151         \n",
              "4519 no               no            celular         6  febrero 129         \n",
              "4520 si               si            celular         3  abril   345         \n",
              "     cont_campaña_actual campañas_previas aceptacion_TC\n",
              "4515  5                  0                no           \n",
              "4516  5                  0                no           \n",
              "4517  1                  0                no           \n",
              "4518 11                  0                no           \n",
              "4519  4                  3                no           \n",
              "4520  2                  7                no           "
            ],
            "text/latex": "A data.frame: 6 × 14\n\\begin{tabular}{r|llllllllllllll}\n  & edad & ocupación & est\\_civil & nivel\\_educativo & contrato\\_meses & Cred\\_hipotecario & Cred\\_personal & Medio\\_contacto & Dia & Mes & duracion\\_seg & cont\\_campaña\\_actual & campañas\\_previas & aceptacion\\_TC\\\\\n  & <int> & <fct> & <fct> & <fct> & <int> & <fct> & <fct> & <fct> & <int> & <fct> & <int> & <int> & <int> & <fct>\\\\\n\\hline\n\t4515 & 32 & profesor      & soltero & bachillerato  & 69 & si & no & celular &  7 & julio   & 624 &  5 & 0 & no\\\\\n\t4516 & 33 & profesor      & casado  & bachillerato  & 10 & si & no & celular & 30 & julio   & 329 &  5 & 0 & no\\\\\n\t4517 & 57 & independiente & casado  & universitario & 59 & si & si & chat    &  9 & mayo    & 153 &  1 & 0 & no\\\\\n\t4518 & 57 & empresario    & casado  & bachillerato  & 40 & no & no & celular & 19 & agosto  & 151 & 11 & 0 & no\\\\\n\t4519 & 28 & informal      & casado  & bachillerato  & 59 & no & no & celular &  6 & febrero & 129 &  4 & 3 & no\\\\\n\t4520 & 44 & emprendedor   & soltero & universitario & 49 & si & si & celular &  3 & abril   & 345 &  2 & 7 & no\\\\\n\\end{tabular}\n",
            "text/markdown": "\nA data.frame: 6 × 14\n\n| <!--/--> | edad &lt;int&gt; | ocupación &lt;fct&gt; | est_civil &lt;fct&gt; | nivel_educativo &lt;fct&gt; | contrato_meses &lt;int&gt; | Cred_hipotecario &lt;fct&gt; | Cred_personal &lt;fct&gt; | Medio_contacto &lt;fct&gt; | Dia &lt;int&gt; | Mes &lt;fct&gt; | duracion_seg &lt;int&gt; | cont_campaña_actual &lt;int&gt; | campañas_previas &lt;int&gt; | aceptacion_TC &lt;fct&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| 4515 | 32 | profesor      | soltero | bachillerato  | 69 | si | no | celular |  7 | julio   | 624 |  5 | 0 | no |\n| 4516 | 33 | profesor      | casado  | bachillerato  | 10 | si | no | celular | 30 | julio   | 329 |  5 | 0 | no |\n| 4517 | 57 | independiente | casado  | universitario | 59 | si | si | chat    |  9 | mayo    | 153 |  1 | 0 | no |\n| 4518 | 57 | empresario    | casado  | bachillerato  | 40 | no | no | celular | 19 | agosto  | 151 | 11 | 0 | no |\n| 4519 | 28 | informal      | casado  | bachillerato  | 59 | no | no | celular |  6 | febrero | 129 |  4 | 3 | no |\n| 4520 | 44 | emprendedor   | soltero | universitario | 49 | si | si | celular |  3 | abril   | 345 |  2 | 7 | no |\n\n",
            "text/html": [
              "<table>\n",
              "<caption>A data.frame: 6 × 14</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>edad</th><th scope=col>ocupación</th><th scope=col>est_civil</th><th scope=col>nivel_educativo</th><th scope=col>contrato_meses</th><th scope=col>Cred_hipotecario</th><th scope=col>Cred_personal</th><th scope=col>Medio_contacto</th><th scope=col>Dia</th><th scope=col>Mes</th><th scope=col>duracion_seg</th><th scope=col>cont_campaña_actual</th><th scope=col>campañas_previas</th><th scope=col>aceptacion_TC</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>4515</th><td>32</td><td>profesor     </td><td>soltero</td><td>bachillerato </td><td>69</td><td>si</td><td>no</td><td>celular</td><td> 7</td><td>julio  </td><td>624</td><td> 5</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4516</th><td>33</td><td>profesor     </td><td>casado </td><td>bachillerato </td><td>10</td><td>si</td><td>no</td><td>celular</td><td>30</td><td>julio  </td><td>329</td><td> 5</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4517</th><td>57</td><td>independiente</td><td>casado </td><td>universitario</td><td>59</td><td>si</td><td>si</td><td>chat   </td><td> 9</td><td>mayo   </td><td>153</td><td> 1</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4518</th><td>57</td><td>empresario   </td><td>casado </td><td>bachillerato </td><td>40</td><td>no</td><td>no</td><td>celular</td><td>19</td><td>agosto </td><td>151</td><td>11</td><td>0</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4519</th><td>28</td><td>informal     </td><td>casado </td><td>bachillerato </td><td>59</td><td>no</td><td>no</td><td>celular</td><td> 6</td><td>febrero</td><td>129</td><td> 4</td><td>3</td><td>no</td></tr>\n",
              "\t<tr><th scope=row>4520</th><td>44</td><td>emprendedor  </td><td>soltero</td><td>universitario</td><td>49</td><td>si</td><td>si</td><td>celular</td><td> 3</td><td>abril  </td><td>345</td><td> 2</td><td>7</td><td>no</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g8VIy8M-B2my",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "6945f418-04c3-4112-d9ac-4e8673e15d25"
      },
      "source": [
        "dim(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] 4521   14"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item 4521\n\\item 14\n\\end{enumerate*}\n",
            "text/markdown": "1. 4521\n2. 14\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>4521</li><li>14</li></ol>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TMgFcRnt2eBX",
        "colab_type": "text"
      },
      "source": [
        "Nuestro dataset esta conformado de 4521 filas y 14 columnas las cuales son estan distribuidas de la siguiente manera"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x51qh5SyRqkc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "outputId": "3d4b1b24-72f7-4ec2-b47f-431b9810252c"
      },
      "source": [
        "str(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "'data.frame':\t4521 obs. of  14 variables:\n",
            " $ edad               : int  30 33 35 30 59 35 36 39 41 43 ...\n",
            " $ ocupación          : Factor w/ 11 levels \"administrador\",..: 4 11 1 1 9 1 8 6 5 11 ...\n",
            " $ est_civil          : Factor w/ 3 levels \"casado\",\"divorciado\",..: 1 1 3 1 1 3 1 1 1 1 ...\n",
            " $ nivel_educativo    : Factor w/ 4 levels \"bachillerato\",..: 2 1 4 4 1 4 4 1 4 2 ...\n",
            " $ contrato_meses     : int  21 37 52 27 6 29 38 42 67 62 ...\n",
            " $ Cred_hipotecario   : Factor w/ 2 levels \"no\",\"si\": 1 2 2 2 2 1 2 2 2 2 ...\n",
            " $ Cred_personal      : Factor w/ 2 levels \"no\",\"si\": 1 2 1 2 1 1 1 1 1 2 ...\n",
            " $ Medio_contacto     : Factor w/ 3 levels \"celular\",\"chat\",..: 1 1 1 2 2 1 1 1 2 1 ...\n",
            " $ Dia                : int  19 11 16 3 5 23 14 6 14 17 ...\n",
            " $ Mes                : Factor w/ 12 levels \"abril\",\"agosto\",..: 11 9 1 7 9 5 9 9 9 1 ...\n",
            " $ duracion_seg       : int  79 220 185 199 226 141 341 151 57 313 ...\n",
            " $ cont_campaña_actual: int  1 1 1 4 1 2 1 2 2 1 ...\n",
            " $ campañas_previas   : int  0 4 1 0 0 3 2 0 0 2 ...\n",
            " $ aceptacion_TC      : Factor w/ 2 levels \"no\",\"si\": 1 1 1 1 1 1 1 1 1 1 ...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L0Cd3-nI2uuw",
        "colab_type": "text"
      },
      "source": [
        "El dataset esta conformado por 14 variables las cuales 6 son cuantitativas y 8 son cualitativas.\n",
        "Las variables cualitativas estan definidas como factores y tienen las siguientes clases:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wcLLe2Lc5ejU",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "78cae567-c404-4467-8459-1cd9c0f6fb2d"
      },
      "source": [
        "#Ocupacion\n",
        "unique(BaseBanco$`ocupación`)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              " [1] desempleado     profesor        administrador   informal       \n",
              " [5] independiente   empresario      emprendedor     estudiante     \n",
              " [9] amadiciembreasa pensionado      desconocido    \n",
              "11 Levels: administrador amadiciembreasa desconocido ... profesor"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item desempleado\n\\item profesor\n\\item administrador\n\\item informal\n\\item independiente\n\\item empresario\n\\item emprendedor\n\\item estudiante\n\\item amadiciembreasa\n\\item pensionado\n\\item desconocido\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'administrador'\n\\item 'amadiciembreasa'\n\\item 'desconocido'\n\\item 'desempleado'\n\\item 'emprendedor'\n\\item 'empresario'\n\\item 'estudiante'\n\\item 'independiente'\n\\item 'informal'\n\\item 'pensionado'\n\\item 'profesor'\n\\end{enumerate*}\n",
            "text/markdown": "1. desempleado\n2. profesor\n3. administrador\n4. informal\n5. independiente\n6. empresario\n7. emprendedor\n8. estudiante\n9. amadiciembreasa\n10. pensionado\n11. desconocido\n\n\n\n**Levels**: 1. 'administrador'\n2. 'amadiciembreasa'\n3. 'desconocido'\n4. 'desempleado'\n5. 'emprendedor'\n6. 'empresario'\n7. 'estudiante'\n8. 'independiente'\n9. 'informal'\n10. 'pensionado'\n11. 'profesor'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>desempleado</li><li>profesor</li><li>administrador</li><li>informal</li><li>independiente</li><li>empresario</li><li>emprendedor</li><li>estudiante</li><li>amadiciembreasa</li><li>pensionado</li><li>desconocido</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'administrador'</li><li>'amadiciembreasa'</li><li>'desconocido'</li><li>'desempleado'</li><li>'emprendedor'</li><li>'empresario'</li><li>'estudiante'</li><li>'independiente'</li><li>'informal'</li><li>'pensionado'</li><li>'profesor'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EGZOCMoa5qs1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "b0549295-809e-4a65-bb1a-c806669280e4"
      },
      "source": [
        "#Estado civil\n",
        "unique(BaseBanco$est_civil)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] casado     soltero    divorciado\n",
              "Levels: casado divorciado soltero"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item casado\n\\item soltero\n\\item divorciado\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'casado'\n\\item 'divorciado'\n\\item 'soltero'\n\\end{enumerate*}\n",
            "text/markdown": "1. casado\n2. soltero\n3. divorciado\n\n\n\n**Levels**: 1. 'casado'\n2. 'divorciado'\n3. 'soltero'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>casado</li><li>soltero</li><li>divorciado</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'casado'</li><li>'divorciado'</li><li>'soltero'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8wu9Lx7J5qwi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "7e648594-022e-4e7e-9160-80917a28fa49"
      },
      "source": [
        "#Nivel educativo\n",
        "unique(BaseBanco$nivel_educativo)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] primaria      bachillerato  universitario técnico      \n",
              "Levels: bachillerato primaria técnico universitario"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item primaria\n\\item bachillerato\n\\item universitario\n\\item técnico\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'bachillerato'\n\\item 'primaria'\n\\item 'técnico'\n\\item 'universitario'\n\\end{enumerate*}\n",
            "text/markdown": "1. primaria\n2. bachillerato\n3. universitario\n4. técnico\n\n\n\n**Levels**: 1. 'bachillerato'\n2. 'primaria'\n3. 'técnico'\n4. 'universitario'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>primaria</li><li>bachillerato</li><li>universitario</li><li>técnico</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'bachillerato'</li><li>'primaria'</li><li>'técnico'</li><li>'universitario'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uh1Eurw47UGr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "36796c38-162e-44a9-e670-13dd68d8a0b9"
      },
      "source": [
        "#Medio de contacto\n",
        "unique(BaseBanco$Medio_contacto)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] celular  chat     telefono\n",
              "Levels: celular chat telefono"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item celular\n\\item chat\n\\item telefono\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'celular'\n\\item 'chat'\n\\item 'telefono'\n\\end{enumerate*}\n",
            "text/markdown": "1. celular\n2. chat\n3. telefono\n\n\n\n**Levels**: 1. 'celular'\n2. 'chat'\n3. 'telefono'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>celular</li><li>chat</li><li>telefono</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'celular'</li><li>'chat'</li><li>'telefono'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xJWBSid48Mja",
        "colab_type": "text"
      },
      "source": [
        "Las siguientes variables categoricas tienen salida binaria, si o no"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7GXdbXkZ7KTg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 116
        },
        "outputId": "f61dbf96-6235-4f48-c9db-ccd01549a950"
      },
      "source": [
        "#Credito hipotecario\n",
        "unique(BaseBanco$Cred_hipotecario)\n",
        "#Credito personal\n",
        "unique(BaseBanco$Cred_personal)\n",
        "#Aceptacion de la tarjeta de credito\n",
        "unique(BaseBanco$aceptacion_TC)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] no si\n",
              "Levels: no si"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item no\n\\item si\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'no'\n\\item 'si'\n\\end{enumerate*}\n",
            "text/markdown": "1. no\n2. si\n\n\n\n**Levels**: 1. 'no'\n2. 'si'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>no</li><li>si</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'no'</li><li>'si'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] no si\n",
              "Levels: no si"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item no\n\\item si\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'no'\n\\item 'si'\n\\end{enumerate*}\n",
            "text/markdown": "1. no\n2. si\n\n\n\n**Levels**: 1. 'no'\n2. 'si'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>no</li><li>si</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'no'</li><li>'si'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] no si\n",
              "Levels: no si"
            ],
            "text/latex": "\\begin{enumerate*}\n\\item no\n\\item si\n\\end{enumerate*}\n\n\\emph{Levels}: \\begin{enumerate*}\n\\item 'no'\n\\item 'si'\n\\end{enumerate*}\n",
            "text/markdown": "1. no\n2. si\n\n\n\n**Levels**: 1. 'no'\n2. 'si'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>no</li><li>si</li></ol>\n",
              "\n",
              "<details>\n",
              "\t<summary style=display:list-item;cursor:pointer>\n",
              "\t\t<strong>Levels</strong>:\n",
              "\t</summary>\n",
              "\t<style>\n",
              "\t.list-inline {list-style: none; margin:0; padding: 0}\n",
              "\t.list-inline>li {display: inline-block}\n",
              "\t.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "\t</style>\n",
              "\t<ol class=list-inline><li>'no'</li><li>'si'</li></ol>\n",
              "</details>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hTWE3cfM8dg1",
        "colab_type": "text"
      },
      "source": [
        "A continuacion vamos a desestructurar el dataframe en variables para mayor comodidad y renombrar algunas variables que contienen simbolos como tildes, ñ y demas para seguir una misma convencion 👨‍💻👩‍💻"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fTvFvFcK7UfH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "attach(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D-FonN_U7Kb3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "4aeb4e57-58e2-4dc5-a72a-551532d24b45"
      },
      "source": [
        "colnames(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              " [1] \"edad\"                \"ocupación\"           \"est_civil\"          \n",
              " [4] \"nivel_educativo\"     \"contrato_meses\"      \"Cred_hipotecario\"   \n",
              " [7] \"Cred_personal\"       \"Medio_contacto\"      \"Dia\"                \n",
              "[10] \"Mes\"                 \"duracion_seg\"        \"cont_campaña_actual\"\n",
              "[13] \"campañas_previas\"    \"aceptacion_TC\"      "
            ],
            "text/latex": "\\begin{enumerate*}\n\\item 'edad'\n\\item 'ocupación'\n\\item 'est\\_civil'\n\\item 'nivel\\_educativo'\n\\item 'contrato\\_meses'\n\\item 'Cred\\_hipotecario'\n\\item 'Cred\\_personal'\n\\item 'Medio\\_contacto'\n\\item 'Dia'\n\\item 'Mes'\n\\item 'duracion\\_seg'\n\\item 'cont\\_campaña\\_actual'\n\\item 'campañas\\_previas'\n\\item 'aceptacion\\_TC'\n\\end{enumerate*}\n",
            "text/markdown": "1. 'edad'\n2. 'ocupación'\n3. 'est_civil'\n4. 'nivel_educativo'\n5. 'contrato_meses'\n6. 'Cred_hipotecario'\n7. 'Cred_personal'\n8. 'Medio_contacto'\n9. 'Dia'\n10. 'Mes'\n11. 'duracion_seg'\n12. 'cont_campaña_actual'\n13. 'campañas_previas'\n14. 'aceptacion_TC'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'edad'</li><li>'ocupación'</li><li>'est_civil'</li><li>'nivel_educativo'</li><li>'contrato_meses'</li><li>'Cred_hipotecario'</li><li>'Cred_personal'</li><li>'Medio_contacto'</li><li>'Dia'</li><li>'Mes'</li><li>'duracion_seg'</li><li>'cont_campaña_actual'</li><li>'campañas_previas'</li><li>'aceptacion_TC'</li></ol>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lHzuGIZG7KW6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ocupacion            <- `ocupación`\n",
        "cred_hipotecario     <- Cred_hipotecario\n",
        "cred_personal        <- Cred_personal\n",
        "medio_contacto       <- Medio_contacto\n",
        "dia                  <- Dia\n",
        "mes                  <- Mes\n",
        "cont_campana_actual  <- `cont_campaña_actual`\n",
        "campanas_previas     <- `campañas_previas`"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ID1-xWoHRrS7",
        "colab_type": "text"
      },
      "source": [
        "#Analisis datos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "15c0z3bf-FQa",
        "colab_type": "text"
      },
      "source": [
        "## Analisis variables cuantitativas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OjT2CP7BD0DI",
        "colab_type": "text"
      },
      "source": [
        "Las variables cuantitativas son:\n",
        "\n",
        "\n",
        "1.   edad\n",
        "2.   contrato_meses\n",
        "3.   dia\n",
        "4.   duracion_seg\n",
        "5.   cont_campana_actual\n",
        "6.   campanas_previas\n",
        "\n",
        "Las variables cuantitativas a analizar individualmente son:\n",
        "\n",
        "\n",
        "1.   edad\n",
        "2.   contrato_meses\n",
        "3.   duracion_seg\n",
        "4.   cont_campana_actual\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mhu0U1nXYCxs",
        "colab_type": "text"
      },
      "source": [
        "###Analisis general\n",
        "\n",
        "Haciendo el summary de nuestro dataset se puede ver que para la edad media de los clientes es de 41 años con al parecer presencia de datos atipicos.\n",
        "\n",
        "La mayoria de clientes son personas con un nivel educativo de bachillerato y universitario, son personas casadas y solteras, administradores e informales.\n",
        "\n",
        "Generalmente hacen un contrato de 36 meses (la media y la mediana estan en un valor muy cercano, se prevee que sea simetrico), la mayoria de personas no tiene un credito vigente con el banco\n",
        "\n",
        "El medio de contacto es fuertemente por celular siendo generalmente a mitad de mes (notese que la media y la mediana son muy cercanas), siendo fuertemente para casi desde mitad de año (mayo) con una duración de contacto medio de 185 segundos.\n",
        "\n",
        "El numero de campañas que se realizo tiene una media de 0.54 y el numero de campañas en las que se contacto al cliente fue de 2, para estas dos variables seria interesante un analisis con media recortada ya que las colas estan fuertementes inclinadas en ambos casos. Finalmente la proporcion de personas que aceptan la tarjeta de credito es de 0.1152\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UNqRv0pSYIBn",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 585
        },
        "outputId": "03658c7f-766a-41f5-aee5-2736bf9bf3d6"
      },
      "source": [
        "summary(BaseBanco)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "      edad               ocupación        est_civil         nivel_educativo\n",
              " Min.   :19.00   administrador:969   casado    :2797   bachillerato :2306  \n",
              " 1st Qu.:33.00   informal     :946   divorciado: 528   primaria     : 678  \n",
              " Median :39.00   empresario   :768   soltero   :1196   técnico      : 187  \n",
              " Mean   :41.17   independiente:661                     universitario:1350  \n",
              " 3rd Qu.:49.00   profesor     :417                                         \n",
              " Max.   :87.00   pensionado   :230                                         \n",
              "                 (Other)      :530                                         \n",
              " contrato_meses  Cred_hipotecario Cred_personal  Medio_contacto      Dia       \n",
              " Min.   : 1.00   no:1962          no:3830       celular :2896   Min.   : 1.00  \n",
              " 1st Qu.:18.00   si:2559          si: 691       chat    :1324   1st Qu.: 9.00  \n",
              " Median :36.00                                  telefono: 301   Median :16.00  \n",
              " Mean   :36.27                                                  Mean   :15.92  \n",
              " 3rd Qu.:54.00                                                  3rd Qu.:21.00  \n",
              " Max.   :72.00                                                  Max.   :31.00  \n",
              "                                                                               \n",
              "        Mes        duracion_seg  cont_campaña_actual campañas_previas \n",
              " mayo     :1398   Min.   :   4   Min.   : 1.000      Min.   : 0.0000  \n",
              " julio    : 706   1st Qu.: 104   1st Qu.: 1.000      1st Qu.: 0.0000  \n",
              " agosto   : 633   Median : 185   Median : 2.000      Median : 0.0000  \n",
              " junio    : 531   Mean   : 264   Mean   : 2.794      Mean   : 0.5426  \n",
              " noviembre: 389   3rd Qu.: 329   3rd Qu.: 3.000      3rd Qu.: 0.0000  \n",
              " abril    : 293   Max.   :3025   Max.   :50.000      Max.   :25.0000  \n",
              " (Other)  : 571                                                       \n",
              " aceptacion_TC\n",
              " no:4000      \n",
              " si: 521      \n",
              "              \n",
              "              \n",
              "              \n",
              "              \n",
              "              "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pHHKRIWfYc0e",
        "colab_type": "text"
      },
      "source": [
        "###Analisis especifico (por cada variable)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KeCy8IrfqDzE",
        "colab_type": "text"
      },
      "source": [
        "####Edad"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h8PyQAWkWOYY",
        "colab_type": "text"
      },
      "source": [
        "La media de la edad al ser sensible a datos atipicos se procede a analizar la media con media recortada recortada para reducir la inestabilidad de la media concluyendo que esta mucho mas cercano a la mediana que es una medida robusta.\n",
        "\n",
        "La moda de la edad es unica (unimodal), la edad media de los clientes es de 39-40 años\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tjqQDiHE7Khp",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "e330a18a-d39c-4edf-9c55-5c3cb10bc1ec"
      },
      "source": [
        "#Tendencia central y posicion\n",
        "paste('Media:', mean(edad))\n",
        "paste('Mediana:', median(edad))\n",
        "paste('Moda:', mfv(edad))\n",
        "print('Quantiles:')\n",
        "quantile(edad) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Media: 41.170095111701\""
            ],
            "text/latex": "'Media: 41.170095111701'",
            "text/markdown": "'Media: 41.170095111701'",
            "text/html": [
              "'Media: 41.170095111701'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Mediana: 39\""
            ],
            "text/latex": "'Mediana: 39'",
            "text/markdown": "'Mediana: 39'",
            "text/html": [
              "'Mediana: 39'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Moda: 34\""
            ],
            "text/latex": "'Moda: 34'",
            "text/markdown": "'Moda: 34'",
            "text/html": [
              "'Moda: 34'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[1] \"Quantiles:\"\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%  25%  50%  75% 100% \n",
              "  19   33   39   49   87 "
            ],
            "text/latex": "\\begin{description*}\n\\item[0\\textbackslash{}\\%] 19\n\\item[25\\textbackslash{}\\%] 33\n\\item[50\\textbackslash{}\\%] 39\n\\item[75\\textbackslash{}\\%] 49\n\\item[100\\textbackslash{}\\%] 87\n\\end{description*}\n",
            "text/markdown": "0%\n:   1925%\n:   3350%\n:   3975%\n:   49100%\n:   87\n\n",
            "text/html": [
              "<style>\n",
              ".dl-inline {width: auto; margin:0; padding: 0}\n",
              ".dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n",
              ".dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n",
              ".dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n",
              "</style><dl class=dl-inline><dt>0%</dt><dd>19</dd><dt>25%</dt><dd>33</dd><dt>50%</dt><dd>39</dd><dt>75%</dt><dd>49</dd><dt>100%</dt><dd>87</dd></dl>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fOH9aiiP7KnW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "6aee0c8f-fd1c-4a20-971b-4dbf1fb3fccf"
      },
      "source": [
        "paste('Media con media recortada al 20%: ', mean(edad, trim=0.2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Media con media recortada al 20%:  39.969037965352\""
            ],
            "text/latex": "'Media con media recortada al 20\\%:  39.969037965352'",
            "text/markdown": "<span style=white-space:pre-wrap>'Media con media recortada al 20%:  39.969037965352'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Media con media recortada al 20%:  39.969037965352'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2QM3xFOCjbM8",
        "colab_type": "text"
      },
      "source": [
        "Podemos ver que la edad va desde los 19 años hasta los 87 años, con un rango intercuantilico de 16 años"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y2-1MzbPiwM2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "2662288e-fd7d-4f42-d47d-c8e2474602ab"
      },
      "source": [
        "#Dispersion:\n",
        "paste('Rango de la edad', range(edad))\n",
        "paste('Rango intercuartilico de la edad', IQR(edad))\n",
        "paste('Varianza de la edad', var(edad))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango de la edad 19\" \"Rango de la edad 87\""
            ],
            "text/latex": "\\begin{enumerate*}\n\\item 'Rango de la edad 19'\n\\item 'Rango de la edad 87'\n\\end{enumerate*}\n",
            "text/markdown": "1. 'Rango de la edad 19'\n2. 'Rango de la edad 87'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'Rango de la edad 19'</li><li>'Rango de la edad 87'</li></ol>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango intercuartilico de la edad 16\""
            ],
            "text/latex": "'Rango intercuartilico de la edad 16'",
            "text/markdown": "'Rango intercuartilico de la edad 16'",
            "text/html": [
              "'Rango intercuartilico de la edad 16'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Varianza de la edad 111.856238243164\""
            ],
            "text/latex": "'Varianza de la edad 111.856238243164'",
            "text/markdown": "'Varianza de la edad 111.856238243164'",
            "text/html": [
              "'Varianza de la edad 111.856238243164'"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hcipp63N7Kym",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "f7414174-d594-401a-f2ba-8a334423296a"
      },
      "source": [
        "paste('La edad de los clientes estan desviados de la media un: ', sd(edad), 'de la muestra')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"La edad de los clientes estan desviados de la media un:  10.5762109587113 de la muestra\""
            ],
            "text/latex": "'La edad de los clientes estan desviados de la media un:  10.5762109587113 de la muestra'",
            "text/markdown": "<span style=white-space:pre-wrap>'La edad de los clientes estan desviados de la media un:  10.5762109587113 de la muestra'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'La edad de los clientes estan desviados de la media un:  10.5762109587113 de la muestra'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LZGhNzYG7Kwj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "9d74c1a0-f3b1-4681-82c8-715a35d3dc24"
      },
      "source": [
        "limiteSup<-mean(edad)+sd(edad)\n",
        "limiteInf<-mean(edad)-sd(edad)\n",
        "paste('La edad de los clientes que estan a una desviacion estandar de la media son:')\n",
        "paste('X-s: ', limiteInf)\n",
        "paste('X+s: ', limiteSup)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"La edad de los clientes que estan a una desviacion estandar de la media son:\""
            ],
            "text/latex": "'La edad de los clientes que estan a una desviacion estandar de la media son:'",
            "text/markdown": "'La edad de los clientes que estan a una desviacion estandar de la media son:'",
            "text/html": [
              "'La edad de los clientes que estan a una desviacion estandar de la media son:'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X-s:  30.5938841529897\""
            ],
            "text/latex": "'X-s:  30.5938841529897'",
            "text/markdown": "<span style=white-space:pre-wrap>'X-s:  30.5938841529897'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X-s:  30.5938841529897'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X+s:  51.7463060704122\""
            ],
            "text/latex": "'X+s:  51.7463060704122'",
            "text/markdown": "<span style=white-space:pre-wrap>'X+s:  51.7463060704122'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X+s:  51.7463060704122'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b-6Rfy4J7Kqa",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "8feca056-c20c-492c-e25f-6fffe2f55f04"
      },
      "source": [
        "numClientesEdad<-sum(edad>limiteInf & edad<limiteSup)\n",
        "paste('La cantidad de clientes que esta a una desviacion estandar son de:',\n",
        "      numClientesEdad)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"La cantidad de clientes que esta a una desviacion estandar son de: 3053\""
            ],
            "text/latex": "'La cantidad de clientes que esta a una desviacion estandar son de: 3053'",
            "text/markdown": "'La cantidad de clientes que esta a una desviacion estandar son de: 3053'",
            "text/html": [
              "'La cantidad de clientes que esta a una desviacion estandar son de: 3053'"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JNm1_I76me8P",
        "colab_type": "text"
      },
      "source": [
        "El coeficiente de variacion al ser un valor bajo significa que no hay mucha dispersion respecto la media"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BjrhYaQ07KlY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "24c070f1-60aa-4d19-9103-1a33641d09ef"
      },
      "source": [
        "cv <- sd(edad)/mean(edad)*100\n",
        "paste('El coeficiente de variacion es de: ', cv)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El coeficiente de variacion es de:  25.6890612713338\""
            ],
            "text/latex": "'El coeficiente de variacion es de:  25.6890612713338'",
            "text/markdown": "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  25.6890612713338'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  25.6890612713338'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m_xiLHyGnrvT",
        "colab_type": "text"
      },
      "source": [
        "La simetria al ser positiva cercana a cero significa que la cola esta levemente distribuida a la derecha\n",
        "Por curtosis se sabe que la curva es mesocurtica tiende a cero"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hYIoq2Hn7KfY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "2e75afa2-0dd6-45d3-890f-4aca8e5be765"
      },
      "source": [
        "paste('Asimetria de la edad: ', skew(edad))\n",
        "paste('Curtosis de la edad: ', kurtosi(edad))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Asimetria de la edad:  0.699037353618127\""
            ],
            "text/latex": "'Asimetria de la edad:  0.699037353618127'",
            "text/markdown": "<span style=white-space:pre-wrap>'Asimetria de la edad:  0.699037353618127'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Asimetria de la edad:  0.699037353618127'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Curtosis de la edad:  0.345582521903384\""
            ],
            "text/latex": "'Curtosis de la edad:  0.345582521903384'",
            "text/markdown": "<span style=white-space:pre-wrap>'Curtosis de la edad:  0.345582521903384'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Curtosis de la edad:  0.345582521903384'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "obKebW4R7KZs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "f9bb915e-1718-4bbc-f194-f2997dc14d89"
      },
      "source": [
        "hist(edad, freq = F, main = \"Histograma edad de los clientes\", xlab = \"edad\", ylab=\"Frecuencia relativa\")\n",
        "curve(dnorm(x,mean=mean(edad),sd=sd(edad)), col=\"darkred\",lwd=2, add=TRUE)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94\nAAAgAElEQVR4nOzdeUAV9f7/8fdhF5DFHRBQARUkw9xKM600TE1xT/1aatrNtOv1Xr3ua5kt\nt5tZtqll2mIqIopmmabiUkipkKKxmpgbCsoiAofz+2Nu50eKcFA4c87wfPx1mBlmXpwO8XI+\nM5/RGQwGAQAAgPWzUTsAAAAAqgfFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIH\nAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIHAACg\nERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIHAACgERQ7\nAAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIHAACgERQ7AAAA\njaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIHAACgERQ74F5t2rRJ\np9PpdDonJye1s6AiW7ZsUf5L2dnZWc4+qz2VVXwgyw1pFckBC0exA/5i1apVuj/l5OTcvkHP\nnj2Vtb179zZ/PAAAKlBt/2wFaq2wsLC3335bRO7ujMvFixd9fHz0en1SUlLr1q2rOx1gNe7x\nV6lK+L2DVlHsgHsVGBj4j3/8466/fcOGDXq9vhrzAFbqHn+VqoTfO2gVQ7GAyr7++mu1IwC1\nDr930CqKHXCv7nTFd0lJyccff9yzZ89GjRrZ29s3atSoY8eOS5cuzcrKUjbo16+fTqc7ePCg\n8mVwcLBOpyt7xuL69euvvvrqgw8+WK9ePQcHh8aNG4eHh3/66aflnmn49NNPO3To4OLiUr9+\n/X79+sXHx6enpxuvFywsLFQ2++STT5Ql3bt3LykpmTJlSsOGDRs3bqysNRgM69evDw8PVzK7\nubl17tz53XffLXtE4x4eeeQR5cdv166ds7Nzs2bN5s6dW1xcLCJJSUn9+/f39PR0dXV94okn\nTpw4UTaqKUepwOnTp1944YWgoCAnJyc3N7eOHTsuX768pKTkls3WrFmjvCH16tXr27dvfHy8\nTqcrd4em5zF9n3dSpT2Y+JOazvRPVKWf3oqdO3fun//8Z0hIiIuLS506ddq0aTNz5szLly9X\n/F0V3DxR6Vtxy8cyNja2V69eyiewW7du33//vXHLSn/vTHnb7/H9AWqQAUAZK1euNP52ZGdn\n377B448/rqwNDw9XlmzcuFFZ4ujoaNysqKioR48e5f7StWjRIiUlxWAw9O3b9/a1U6ZMUfZw\n7NgxHx+fcvfw0EMPZWVllU01derUW7ZxdHRcsWLF7b/pX375pbKkbdu2b731lvLa1tZWWTtq\n1Khyj9ivX7/S0lJlm/Xr1ysLQ0NDN2zYcEsvmTRpUlpaWoMGDcoubNiwYU5OjjGDKUe5k8jI\nyHJvmXzsscdu3Lhh3Oxf//rX7W/I3Llzb/l5q5SnSvssV5X2YOJPertyP5CGqnyiTPn0VmDP\nnj3u7u63f2/jxo0TEhIqCHmn5Ka8FWU/lt9++62Dg0PZLW1tbb///ntly4p/70w51j2+P0CN\notgBf1Fdxe6DDz5QFrZu3fqrr746dOjQzp07Bw8erCzs3r27wWA4ceJEdHS08XBffPFFbGxs\nWlqawWC4evWq8W9w8+bNP/jggy1btsyYMcN4UXnfvn2Nx4qLizPuJCwsbOXKlevWrevSpYur\nq6vxr5pxY2PaZs2a+fr62tvbh4WFtWrVymAwbNu2TVllY2Pz/vvvJyYmrl692njEDRs23LIH\nLy+vpk2b9u/ff/LkycY/5I6Ojk8++aS3t/eUKVM6d+5sDPb2228r327iUcqVlpZWp04dZcvp\n06efPn36yJEj3bt3V5bMmjVL2eynn34q+/d48+bNW7du7d27t/EoZd8QE/NUaZ/lqtIeTPxJ\ny1XuB7JKnyhTPr13cv78+Xr16hm33LRp0+effx4WFqYsadWqVXFx8Z1ClrvQxLei7MeyWbNm\nYWFhs2bNeuKJJ4zveadOnZQtK/i9M/FY9/L+ADWNYgf8RdliV7GKi92YMWOUhW+99ZZxYVFR\n0YgRIyZPnvzaa6/p9XqDwXD+/HnjDpOSkoxbLlq0SFno5uZ27tw54/J169YZt4+Pj1cWPv/8\n88oSDw8P43mXgoICf39/ZXm5xU5EgoKCzp49a1z13nvv9e3bt2/fvsazFwaDoX///srGzzzz\nzO17GDp0qLIwMjLSuNDJySk1NdVgMNy8ebNVq1bKwqeeeqpKRynX5MmTlc169OhhXHj58mWl\nwtatW1c5pzJhwgRls4YNG+bl5SmbFRcXG29+LPuGmJinSvssV5X2YOJPWq5yP5BV+kSZ+Okt\n16xZs5TvbdCgQX5+vrLw0qVLxsK0adOmO4Usd6GJb0XZj2W3bt2M74/xdKyNjU1RUZGy8E6/\ndyYe617eH6CmUeyAv6iuYvf3v/9dWejn57d27doLFy6Ue7g7/YG5//77lYVjxowpu31JSYmn\np6eyavHixcrCkJAQZcno0aPLbjxv3jxl+Z2K3ZdfflnpG/LSSy8pGz/xxBO37yEuLk5ZWFRU\n5OjoqCwcMWKE8dunTZumLAwLC6vSUcoVEBCgbDZnzpwbZSiXVYmIMtwWHBysfDlu3Liy3/7y\nyy/f/oaYmOfe91mlPZj4k5ar3A9klT5RJn56yxUaGqp87/jx48suP3jw4DfffPPNN98kJyff\nKWS5C018K8p+LPfs2WP89rJX12VkZCgL7/R7Z+Kx7uX9AWoaN08Ad+Tr6+t/GxPnxB87dqyz\ns7OI/P77788880yTJk0CAwPHjx+/efPmSm8RMBgMxrsN7rvvvrKrbG1tjSd4kpKSlBcZGRnK\nC2N1UBj/lt/JY489dsuS77//PiIiIiAgwMnJSbkU/d1331VWlRvb+Ffc3t6+YcOGyuu2bdsa\nN/Dy8lJe5Obm3vVRFAaDIT09XXm9ZMmSOmXs379fWa68b8Y3JCgoqOwe2rRpU+6eTclT1X3e\nzvQ9mP6Tmqiqn6i7/vQaDAbjTowlSdGlS5fevXv37t07MDCwSsnv4q3o0KGD8bXxvLX89UN4\nL8e6l99uoKZR7IA7SkhIyLhN165dTfnesLCw7du3l/2bnZqaunr16sGDBwcGBh4+fLiC7y0o\nKDDegme8Ts7IxcVFeaH8lTIYDAUFBbesutP3lmVra2usYooPPvigV69e0dHRaWlpdnZ2wcHB\n999//y23QZTl6OhoHF9TvlReeHh4GBfecg37XRzFqKCgoLS0tOJtrl69ajAYbty4oXyp/PU1\nuuVL0/NUdZ+3q9IeTPxJTTmucYemf6LkHj69BQUFxmZjPBF4L+7irXB0dKxbt67xS9OfTmb6\nse7ltxuoaRQ7oKb06NEjMTHx0KFDixcv7t27t/H2goyMjAEDBuTn59/pG52dnY2XtF+/fv2W\ntca/vsoOdTqdsVEZG94tW5bLzs7Oxub//x8gLy/POGw6cuTIy5cvnzx58tixY8OGDavsB62C\nezmKs7Ozra2t8nrZsmXljkEsXLiw7GQZt7zJt7+ZJuap0j7LVaU9mPiTmnJc4w5N/0Qp7u7T\nW6dOHeOHqoJPeJWSV+9bUV3HuuvfbqCmUeyAGqTT6R566KF58+Z98803V65ciY6OVk5jXL58\n2Ti4U+53GYc4jx07VnZVcXHxyZMnldfGEU9fX1/lhXGV4vjx46ZHPXr0qLEXTp8+3Xgq7vTp\n06bvpEaPotPpjKN7xiGzcvn5+SkvTp06dcvR7zqP6fu891Sm/6QmquonyvhdVf302tjYGAea\njWOyii+//PKVV1555ZVXdu7cWaXk1ftWVOOx7u63G6hpFDug+t24cWPp0qVjx44dMGCAcXDH\n1ta2f//+HTt2VL68efOmiJSdBK7s1KaDBg1SXmzZsiUzM9O4fM2aNcr5FZ1OFxERoSx88MEH\nlRdbt2417iQvL++zzz4zPbOSR6FMMiwiJ0+e/OGHH25ZeC/u8Sjh4eHKi40bNxoLmV6vHzVq\n1Lhx42bNmnXu3DkReeihh5RVW7duzc7OVl7n5eWVvQO0qnlM3+edVGkPJv6kpjP9E2X6p7dc\nffr0MR7o2rVryuvs7OzJkyfPmzdv3rx5ZY9uimp/K+TOv3emHOse3x+gxlXhRgugFqiueeyM\nE3cNHjx4x44d8fHx+/fvX7Rokb29vbLlxYsXDQZDSUmJskREunXrtmHDhm+//dZgMGRnZzdt\n2lRZHhgYuGLFisjIyOnTpxtHXcvecrh7925j5rZt265Zs2b16tUdO3Y0XjtV7l2xt8wBe+7c\nOeMg2lNPPZWYmLh161YfHx/jfCVubm6HDx++ePHinfZgPNvxwQcfGBca70IICAio0lHK/a+T\nmppqPKnWtWvX7du3f/vtt8bK0qZNm5KSEoPBsHfvXuMb0r59+/Xr13/22WcdO3Y0Xl5mY2NT\n1Z/a9H3eSZX2YOJPWq5y/wNV6RNl4qe3XGfOnDFe4ta5c+evv/76iy++aN++vbLEz89PmerF\n9LtiTXwr7vSxPHv2rPFtT0xMVBbe6ffOxGPdy/sD1DSKHfAX1VXsEhMTjX9Hb2FjY7N69Wrj\nlk8++WTZtcZ5Yit4TsCgQYNumcbs2WefvWUbZ2fn119/XXltSrEzlJnjw8jb2zs9Pd3b29u4\nZMGCBfdS7Ew/yp3+A23cuNHYRcry8fEpO2/F2LFjb9nAxcXlvffeM35pnGnM9Dym7/NOqrQH\nE3/Sct8iZUvTnzxxyyfK9E9vuWJiYsq9p6RJkybHjh2rIOSdkpvyVlSp2Bnu/HtnyrHu8f0B\nahTFDviL6ip2BoPhwoULL7/8cocOHRo3bmxvb+/s7Ny6devnn3/++PHjZTfLzMyMiIjw8PBw\ncnJq3rz5kiVLjKuuXbv2yiuvdOzY0d3d3d7e3svLa+DAgVu3br09lV6vf/PNN1u1auXo6Nio\nUaMhQ4YkJCTs2LHD9L+dBoOhqKjo9ddfDwkJqVOnjo+Pz/jx45WZbHft2tWqVSs7O7umTZuu\nX7/+HoudiUe5038gg8Fw8uTJcePGNW/e3NHR0dnZOTQ0dM6cOcr9sGXfkLfeeqtVq1YODg7K\nG/Lrr7+WnRfj+vXrVc1j+j7vpKp7MOUnvV0F/4lN/0SZ+Om9k7S0tIkTJwYFBSnThbRp02bW\nrFmXL1+uOGQFySt9K6pa7Cr4vTPlbb/H9weoOTqDwVDuPzsAWLu1a9cqZ/K8vb3v4jokAIDV\nsVM7AIB7lZSUFB0dffbs2atXr65bt844sYXxMV+dOnVSLx0AwHwodoDVs7e3nz17tnL2vbCw\n8B//+Iednd2mTZu2bt2qbPDiiy+qGhAAYCYMxQJasGjRojtN0zpv3rzFixebNw4AQB0UO0Aj\n9uzZ88EHH/z4448XL160sbFp0qTJgw8+OHHixO7du6sdDQBgJhQ7AAAAjeDJEwAAABpBsQMA\nANAIih0AAIBGUOwAAAA0gmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAI\nih0AAIBGUOwAAAA0gmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0A\nAIBGUOwAAAA0gmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBG\nUOwAAAA0gmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwA\nAAA0gmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0\ngmIHAACgERQ7AAAAjaDYAQAAaATFDgAAQCModgAAABpBsQMAANAIih0AAIBGUOwAAAA0gmIH\nAACgERQ7AAAAjaDYAQAAaATFDgAAQCPs1A4AmNX58+dPnDihYgAbG5tHHnnEzo5fPQBA9dMZ\nDAa1MwDmM378+HXr1rm4uKgVICcn55tvvgkPD1crAABAwzhtgNpFr9ePHDny008/VSuAq6tr\nSUmJWkcHAGgb19gBAABoBMUOAABAIyh2AAAAGkGxAwAA0AiKHQAAgEZQ7AAAADSCYgcAAKAR\nFDsAAACNoNgBAABoBMUOAABAIyh2AAAAGkGxAwAA0AiKHQAAgEZQ7AAAADSCYgcAAKARFDsA\nAACNoNgBAABoBMUOAABAIyh2AAAAGkGxAwAA0AiKHQAAgEZQ7AAAADSCYgcAAKARFDsAAACN\noNgBAABoBMUOAABAIyh2AAAAGkGxAwAA0AiKHQAAgEZQ7AAAADSCYgcAAKARFDsAAACNoNgB\nAABoBMUOAABAIyh2AAAAGkGxAwAA0AiKHQAAgEZQ7AAAADSCYgcAAKARFDsAAACNoNgBAABo\nBMUOAABAIyh2AAAAGkGxAwAA0AgtFLvr16/PnDnz1KlTagcBAABQk0aK3euvv56SkqJ2EAAA\nADXZqR3AVOPHj7/TqoKCAhF59913t2zZIiKrVq0yXywAAACLYTXFbvXq1RVv8N133ykvKHYA\nAKB2spqh2KlTp9ra2oaFhe3cuTP7r06cOCEi69evV75UOykAAIA6rKbY/fe///3xxx9F5Mkn\nn5w9e7ZOp/P4k5ubm4i4uLgoX6qdFAAAQB1WU+xEpEOHDkeOHFm6dOmaNWtCQkIiIyPVTgQA\nAGBBrKnYiYidnd2MGTMSExODg4OHDBnSv3//s2fPqh0KAADAIlhZsVMEBAR8//33n3766cGD\nB0NCQrhbAgAAQKy02CnGjBmTlJTUr1+/RYsWqZ0FAABAfVYz3Um5GjVq9NVXXz3zzDO7d+8O\nCAhQOw4AAICarK/YGQyG9PT0tLS03NxcEXF3dw8NDX3yySfVzgUAAKAyayp22dnZS5YsWbdu\n3aVLl25Z5efnN378+GnTptWpU0eVbAAAAKqzmmJ3/vz5rl27pqenBwUF9enTx9/f38XFRUSu\nX7+empq6b9+++fPnR0ZG/vDDD56enmqHBQAAUIHVFLt58+ZlZmZu2LBh6NCht6/V6/UfffTR\n5MmTFy1atGzZMvPHAwAAUJ3V3BW7ffv20aNHl9vqRMTW1vbFF18cNmzY5s2bzRwMAADAQlhN\nsbty5Uql970GBwdfvHjRPHkAAAAsjdUUO29v7+PHj1e8zdGjR729vc2TBwAAwNJYzTV2ERER\ny5cv79ix40svveTo6HjL2vz8/DfeeCM6OnrGjBlV3XNiYmJRUVHF2xQUFHTr1q2qewYAADAn\nqyl2CxcujI2NnT59+uLFizt16uTr6+vq6mowGPLy8s6cORMXF6d0r7lz51Zpt6mpqWFhYaWl\npZVuWVRUZG9vf7fxAQAAapzVFDsPD4/Dhw+vWLFi7dq1e/fu1ev1xlX29vbt27cfN27cuHHj\nbG1tq7TbgICA69evV3zGLi4urnfv3gaD4S6jAwAAmIXVFDsRcXBwmDp16tSpUwsLC8+ePas8\necLNzc3Pz8/BweGud+vi4qJMiXcndevWveudAwAAmI01FTsjJyenoKAgtVMAAABYFqu5KxYA\nAAAV006xS01N7dmzZ8+ePdUOAgAAoA6rHIotV25u7u7du9VOAQAAoBrtFLvWrVsnJiaqnQIA\nAEA12il2Tk5OoaGhaqcAAABQjfUVO4PBkJ6enpaWpkx34u7uHhQU5Ovrq3YuAAAAlVlTscvO\nzl6yZMm6desuXbp0yyo/P7/x48dPmzatTp06qmQDAABQndUUu/Pnz3ft2jU9PT0oKKhPnz7+\n/v7KrMLXr19PTU3dt2/f/PnzIyMjf/jhB09PT7XDAgAAqMBqit28efMyMzM3bNgwdOjQ29fq\n9fqPPvpo8uTJixYtWrZsmfnjAQAAqM5q5rHbvn376NGjy211ImJra/viiy8OGzZs8+bNZg4G\nAABgIaym2F25ciUgIKDibYKDgy9evGiePAAAAJbGaoqdt7f38ePHK97m6NGj3t7e5skDAABg\naaym2EVERGzcuPE///nPzZs3b1+bn5+/YMGC6Ojo4cOHmz8bAACAJbCamycWLlwYGxs7ffr0\nxYsXd+rUydfX19XV1WAw5OXlnTlzJi4urqCgoFu3bnPnzlU7KQAAgDqspth5eHgcPnx4xYoV\na9eu3bt3r16vN66yt7dv3779uHHjxo0bZ2trq2JIAAAAFVlNsRMRBweHqVOnTp06tbCw8OzZ\ns8qTJ9zc3Pz8/BwcHNROBwAAoDJrKnZGTk5OQUFBaqcAAACwLFZz8wQAAAAqRrEDAADQCIod\nAACARlDsAAAANIJiBwAAoBEUOwAAAI2g2AEAAGiEVc5jB6C6FF2/np2cnP3bb1d/+y37t9+y\nk5PtnZ2bdOrk07Wr90MPOTdqpHZAAEAVUOyA2qgoN/fnt98+/vHHeefO3b727L59R958U0Q8\ng4K8u3Rp+vDDrZ9+2t7V1ewxAQBVQ7EDapeSGzeOffDBT0uX3sjK+ssKnc7N19cjKKjo+vVL\nR4+WlpSISHZycnZy8onPPju0aFGPt95qNWyYOqEBAKah2AG1RWlxceLq1YdfecV4lq7xAw+0\nHDLEMyjIMyjIs2VLuzp1lOXFBQUXjhw5d+DAH4cP/3HoUGF2dm5m5rbhw49//HHP996r17q1\nej8EAKAiFDugVkiOito3fXpOaqryZf3g4K6LF7ccPFh0uts3tnd29u3e3bd7dxERg+HXzz7b\nP2NGwaVLv+/e/dn997efOvWhuXMZmQUAC8RdsYD2/fjqq9GDByutzr158yfXrBmTmNhyyJBy\nW92tdLrQMWOeO3263eTJOltbfVFR3OuvfxIcnLp1a43nBgBUEcUO0DKDXr9r4sQDc+aIweBU\nr17PFSvGnTrV5tlndba2VdqPo4fH4+++O/rIEe8uXUQkNzNzy8CBCStX1kxqAMBdotgBmlVc\nUBA9ePDxDz8UETd//xEHDoS9+KKtg8Nd77BRu3YjDxzo/cknju7uhtLS7/72t1+WL6++vACA\ne0WxA7Sp8OrVTeHhKdHRItLgvvtGHDhQPzi4Gvar04WOHTtsz546DRqIwbBnypTDL79cDbsF\nAFQHih2gQdfS07/s0uXcgQMi4vfYYyNiY+s2bVqN+2/8wANP79vn4uUlIgfnz98/c2Y17hwA\ncNcodoDWXD116ssuXa6ePi0iIf/3f4O/+cbR3b3aj1I/JGTY7t2u3t4iEvf663Q7ALAEFDtA\nU27m5EQNGJB/4YKIdJ45s8/atfdyUV3F6gcHP71vn5ufn4jEvf76nilTxGCooWMBAExBsQO0\nw1Baun3UqOzffhORLgsWdFu61KQJTe6BR2Dg0/v3u7doISK/LF/+45IlNXo4AEDFKHaAdhyY\nOzdtxw4RCRo4sMuCBeY5qJu//4j9+z0CA0Xk4MKFv+/ebZ7jAgBuR7EDNCJ58+afXntNROq1\nbv3kmjU1fa6uLFcfn4ioKHtnZ4NeHzNypPGRZQAAM6PYAVpwOSFhxzPPiMHg5Ok5aNs2Bzc3\nMwdoEBr6xMqVIlJw6dLWoUNLi4vNHAAAIBQ7QAMKr16NHjSoOD9fZ2PT5/PPlVFR8wseOfK+\nceNE5I/Dhw/Mm6dKBgCo5Sh2gHUz6PXbR41SngP7yGuvtejTR8Uwj69Y0ahdOxGJe+ONlC1b\nVEwCALUTxQ6wbrGzZ6fv3CkirZ9+uuO0aeqGsXNyeurrrx3c3MRg2Pncc9cyMtTNAwC1DcUO\nsGLn4+KOvPWWiDQKCwtfvdqcN0zciWdQUO/Vq0Wk8OrVbcOG6W/eVDsRANQiFDvAWpUWF383\nYYJBr7dzcuq3fr29s7Paif6n5ZAhD0yZIiIXjhzZN2OG2nEAoBah2AHW6shbb11OSBCRB+fM\nqdeqldpx/qL7G294PfigiBx9990L8fFqxwGA2oJiB1ilnJSUw4sXi0iDNm06/vvfase5la2D\nQ5+1a20dHQ2lpd9PnGgoLVU7EQDUChQ7wCrtmjix5MYNnY1Nr48+qrmnwd4Lz6CgTv/+t4hc\niI8//tFHascBgFqBYgdYn1/XrDnz/fciEjZxok/XrmrHuaPOs2Ypj5E9MGdOwaVLascBAO2j\n2AFW5kZW1v5//1tEXLy8Hn7lFbXjVMSuTp1e778vIoXZ2fssb7wYALSHYgdYmT1TphRcviwi\nvd5/39HDQ+04lWgWHh4YESEiJ9auPbt3r9pxAEDjKHaANcn49tukL78UkZaDByuFyfI9vny5\nvaurGAy7J0/mGbIAUKModoDVKC4o2DVxoog4urs/tny52nFMVdfX96G5c0Uk68SJn995R+04\nAKBlFDvAavzyzjvX0tNF5JHXXnP19lY7ThW0nzq1fnCwiBxatCg3M1PtOACgWRQ7wDoUZmfH\nvfGGiDRs27bt88+rHadqbB0cHl+xQnS64ry8H6ZOVTsOAGgWxQ6wDnGvv34zJ0dEHl6yRGdj\nfb+5fo8+GjxypIj8tmkTd1EAQA2xvj8PQC2U98cfR999V0R8unYN6NdP7Th3qcebb9q7uIjI\ngXnz1M4CANpEsQOswOHFi4sLCkTEwieuq5iLl1e7SZNE5NyBAxnffad2HADQIIodYOmyk5MT\nP/lERFr07evbo4face5Jx3//28HNTUQOzJkjBoPacQBAayh2gKU7OH9+aXGxzsbm4ZdfVjvL\nvapTv377KVNE5EJ8fOr27WrHAQCtodgBFu1yQsLpDRtEpPWIEY3atVM7TjXo8K9/OdWrJyKx\ns2cbSkvVjgMAmkKxAyza/hkzDKWlNvb2XRctUjtL9XB0d+8wdaqIZCUmJkdFqR0HADSFYgdY\nrszY2PSdO0Wk7YQJHgEBasepNu3/8Q/nRo1E5NCCBZy0A4BqRLEDLNf+mTNFxK5OnQdnz1Y7\nS3Wyd3XtOG2aiGSdOHH666/VjgMA2kGxAyxU6rZtfxw6JCLtp0xx9fFRO041C8ZOzAcAACAA\nSURBVJs0yaVJExE5uHBhaUmJ2nEAQCPs1A4A1C56vX7nzp3nzp2rdMv8pUtFROfsfLJx46SP\nP66uAL6+vk8++WR17e2u2Ts7d541a8+UKdm//Xby889Dx4xROxEAaIHOwFRSlTl06FDXrl1v\n3rzp4OCgdhbcq7Fjx4rIp59+qlYAGxsbDw8PT0/PijfzvnFjwPnzIhLv6Xmkso1NV1BQkJeX\nl5ubW107vBclhYWrg4JyMzPdmzd/7vRpG3t7tRMBgNXjjB1gVgaD4e9///vChQsr3iyyT5/0\n8+ftnZ0/OX3auWHD6jr6jh07hg4dWl17u0d2Tk4Pzpmza+LEa+npv376advnn1c7EQBYPa6x\nAyxOVmKicjNs6Nix1djqLFDouHHuzZqJSNybb3J7LADcO4odYHHi3nhDDAadrW37qVPVzlKz\nbB0cOvzrXyKSk5KSunWr2nEAwOpR7ADLkpuZeerrr0Wk1dChWpq77k5Cx42rU7++iBx56y21\nswCA1aPYAZYl/r//LS0uFhFlpjfNs3d2Vq6uO3fgwPkff1Q7DgBYN4odYEEKs7MTV60SEf+e\nPRu3b692HDNpN3myrYODiMS//bbaWQDAulHsAAty7P33i3JzRaTj9OlqZzEfV2/v1iNGiMhv\nkZHX0tLUjgMAVoxiB1gK/c2bR1esEJGGbds269VL7Thm1XHaNNHpDHr9L+++q3YWALBiFDvA\nUvy6Zk3++fMi0mnGDNHp1I5jVg1CQ/179hSRxNWrb+bkqB0HAKwVxQ6wCIbS0l/eeUdE6vr6\ntrKYOYTNqcM//ykiRbm5CStXqp0FAKwVxQ6wCMlRUVeSkkSk47RptfPhWs17927Ytq2I/PzO\nO/qiIrXjAIBVotgBFuHIf/4jIk716t03bpzaWVTzwJQpIpJ37txvGzeqnQUArBLFDlDf+bg4\nZQq3sBdftHd1VTuOakJGjXJp0kRE4v/7X7WzAIBVotgB6jv2/vsiYmNnF/bCC2pnUZOto2O7\nSZNE5OIvv/z+ww9qxwEA60OxA1RWmJ2tjDwGDRzo6uOjdhyVhb34or2Li4jE84QxAKg6ih2g\nsl8//bS4oEBE7q/dp+sUTvXqtXnmGRFJ27EjJyVF7TgAYGUodoCqDIbjH34oIvVat/Z79FG1\n01iEdi+9JCJiMDDvCQBUFcUOUFPGrl3ZyckiEjZxYm2blPhO6gcHN+3WTUQSP/lEf/Om2nEA\nwJpQ7AA1HfvgAxGxd3YOGT1a7SwW5P6//U1EbmRlJUdFqZ0FAKwJxQ5QTW5mZlpMjIgEjxrl\n5OmpdhwL0nLoUOeGDUXk+EcfqZ0FAKwJxQ5QTcLHH5eWlMifJ6hgZOvg0ObZZ0Xk7N69V06e\nVDsOAFgNih2gjtKSksTVq0XE68EHG7dvr3Yci3P/Cy8oFx0mrFqldhYAsBoUO0AdyZs35/3x\nhyi3TeA2HgEBym3CxulgAACVotgB6lBum6hTv36rYcPUzmKhlBHqmzk5yZGRamcBAOtAsQNU\ncCUp6ey+fSISOnasnZOT2nEsVNDAgS5eXsItFABgMoodoILjH3wgBoPodG0nTFA7i+WysbcP\nHTNGRM4dPJj1669qxwEAK0CxA8yuuPjk55+LSPPwcM+WLdVOY9HaTpigs7ERkYSPP1Y7CwBY\nAYodYG72v/5amJ0tzHJiAvfmzZs98YSInFi7tjg/X+04AGDpKHaAudkdPSoidZs2DXjqKbWz\nWIH/3UJx7dqpr79WOwsAWDqKHWBWDURszp4VkZBnntHZ2qodxwq06NfP1cdHRBK4hQIAKkOx\nA8yqg4hORHS60GefVTuLdbCxs7vvuedE5Hxc3KWjR9WOAwAWjWIHmI9Br+8gIiI+Xbpw24Tp\n2o4fr5zdTPzkE7WzAIBFo9gB5pOxa5e7iIiEjh2rchSrUtfX179nTxFJ+vJL/c2bascBAMtF\nsQPM58SaNSJisLdvNXSo2lmsjDJyXXj1atqOHWpnAQDLRbEDzOTmtWspW7eKiD4kxMHNTe04\nViZw4EBHDw8ROfHZZ2pnAQDLRbEDzCTpiy9KbtwQkeKwMLWzWB87JyflNGfa9u0FFy+qHQcA\nLBTFDjCTX9esEZFsEb2/v9pZrFKbZ58VkdKSklPr16udBQAslNUXO71en5SUFB8fX1hYqHYW\n4I6yTpy4cOSIiBwREZ1O7ThWyadr13qtWonIr4zGAsAdWFOxO3To0LBhw8LCwgYOHPjLL7+I\nSEpKSlhYWEhISMeOHRs1avT++++rnREo36+ffioiotP9onYSqxY8apSIXDp69PLx42pnAQBL\nZDXF7qeffurRo8fGjRtPnjy5ZcuWRx99NC0tbcyYMenp6aNGjRo0aJDBYJg0adK2bdvUTgrc\nqrSkJOmLL0TE79FHr6gdxqq1eeYZnY2NiJxYu1btLABgiaym2L3yyisisnnz5hs3bmRmZvr7\n+y9YsODHH3/cuXPn559/HhkZ+fPPP7u4uCxfvlztpMCt0nfsyL9wQURCx4xRO4t1c/P39+3e\nXUROfv55aXGx2nEAwOJYTbE7fPjw8OHDBw4caGtr6+Pjs2zZss8//7xr164PP/ywskHLli2H\nDh36888/q5sTuJ1y24S9q2vQwIFqZ7F6yi0UBZcuZXz3ndpZAMDiWE2xu379ekBAgPHLzp07\ni0hISEjZbby9vXNzc82dDKjQjStXlDl1Wz/9tL2rq9pxrF7LIUOUt5EJ7QDgdlZT7Jo2bZqe\nnm780sXFxd3d3cPDo+w2qamp9evXN3s0oCIn161TnoLFOGy1sHdxaTl4sIikREffuMIliwDw\nF1ZT7B577LGvv/76wIEDxiU5OTlLly41fvnjjz9u3rzZODILWAjlxJJny5Y+XbqonUUjlNFY\nfVHR6a+/VjsLAFgWqyl2M2fOdHZ2fuSRR2bPnn372tGjRz/yyCMGg2HGjBnmzwbcSdaJE5eO\nHRORNqNHM31ddfHt3t3N318YjQWA21hNsQsMDDx48ODjjz9ua2t7+9rjx483adIkMjKyY8eO\n5s8G3EnSl18qL1oNH65uEi3R2diEjB4tIufj4q4kJakdBwAsiJ3aAaogODh4165d5a7auXOn\nt7e3mfMAlTAYTn31lYh4P/SQZ1CQ2mk0JfTZZ39cskQMhpNr13Yrc0kGANRy1lTsFAaDIT09\nPS0tTbkB1t3dPSgoyNfXV+1cwK3+OHz4Wnq6iLQeMULtLFrjERjo06XLuYMHT37xxcNLliiz\nFgMArKnYZWdnL1myZN26dZcuXbpllZ+f3/jx46dNm1anTh1VsgG3U8ZhbezsWg8bpnYWDQoZ\nPfrcwYO5Z8+eO3iwabduascBAItgNcXu/PnzXbt2TU9PDwoK6tOnj7+/v4uLi4hcv349NTV1\n37598+fPj4yM/OGHHzw9PdUOC0hpScnpTZtExL9nT+fGjdWOo0Gthg7d8/e/64uKTn31FcUO\nABRWU+zmzZuXmZm5YcOGoUOH3r5Wr9d/9NFHkydPXrRo0bJly8wfD7hFxnffFVy8KCLBI0eq\nnUWbnOrV8+/VK2379tMbNz72zjs29vZqJwIA9VnNhSnbt28fPXp0ua1ORGxtbV988cVhw4Zt\n3rzZzMGAcim3Tdg5OQUOGKB2Fs0KHjFCRG5kZZ35/nu1swCARbCaYnflypWyjxQrV3Bw8MWL\nF82TB6hAcUFB8pYtIhI4YICDm5vacTQrMCLC3sVFRJK++krtLABgEaym2Hl7ex8/frzibY4e\nPcqkJ7AEqdHRxXl5wjhsDbN3cQno109EUrZsKS4oUDsOAKjPaq6xi4iIWL58eceOHV966SVH\nR8db1ubn57/xxhvR0dF38eSJs2fPFhcXV7DBH3/8UdV9opZT7od18vRsFh6udhaNaz1ixKmv\nvy7KzU3bvr3VHS7VAIDaw2qK3cKFC2NjY6dPn7548eJOnTr5+vq6uroaDIa8vLwzZ87ExcUV\nFBR069Zt7ty5VdptampqYGCgKVsaDIa7Co5ap/Dq1YzvvhORlkOH2t72jxBUr+ZPPulUr17h\n1aunvvqKYgcAVlPsPDw8Dh8+vGLFirVr1+7du1ev1xtX2dvbt2/ffty4cePGjSv3gWMVCAgI\nOHfuXGFhYQXb/PLLL0OHDtXxoE+Y5vSGDfqiImEc1ixsHRyCIiISP/kkbceOmzk5jh4eaicC\nADVZTbETEQcHh6lTp06dOrWwsPDs2bPKkyfc3Nz8/PwcHBzuereVXpZ34cKFu945aiFlHNbV\n25vJ1cyj9YgRiZ98or95MzkqKnTsWLXjAICarKnYGTk5OQXx5E1YJOVBCCISPGoUz7kyD7/H\nHnP19s7744+kr76i2AGo5fjDA1SnpC+/NJSWCuOwZqSzsWk5ZIiI/L5nTwETHgGo3bRT7FJT\nU3v27NmzZ0+1g6BWU8Zh67Vu3SgsTO0stYgyU7FBrz+1YYPaWQBATdopdrm5ubt37969e7fa\nQVB7XTl58nJCgoiEjBqldpbaxatzZ/cWLUTk1Pr1amcBADVpp9i1bt06MTExMTFR7SCovU7/\nebqo9YgR6iapdXS61k8/LSJ/HD58LSND7TQAoBrtFDsnJ6fQ0NDQ0FC1g6D2Uopdk44dPSp7\n/B2qXcj//Z+IiMHASTsAtZn13RVrMBjS09PT0tKU6U7c3d2DgoJ8fX3VzoXaLisx8UpSkogw\nTa4q6gcHNwgNzfr111NffdV55ky14wCAOu6p2OXn5+fm5jZp0qS60lQsOzt7yZIl69atu3Tp\n0i2r/Pz8xo8fP23atDp16pgnDHCL0xs3iojodModmjC/1iNGHJgz53JCQtaJEw3atFE7DgCo\n4J6KXXR09LRp08zzKNXz58937do1PT09KCioT58+/v7+Li4uInL9+vXU1NR9+/bNnz8/MjLy\nhx9+8PT0NEMe4BZKsfPq2NG9eXO1s9RSwU8/fWDOHBH5beNGih2A2smkYpeVlbV+/fqMjIyS\nkhLjwsLCwpiYmLy8vBrL9hfz5s3LzMzcsGHD0PLGufR6/UcffTR58uRFixYtW7bMPJEAo8vH\nj189dUpEWg0bpnaW2su9RYvG7dtf/PnnU+vXd1m4UO04AKCCyotdRkZGp06dLl++XM4329nN\nmzevBlKVY/v27aNHjy631YmIra3tiy++uH///s2bN1PsYH6Mw1qIVkOHXvz556unTzMaC6B2\nqvyu2Llz5xYWFr733nvKFHGrVq3auXPnzJkzfXx8YmJi5s+fX/MhRUSuXLkSUNmdhsHBwReZ\ndx5q+C0yUkS8Ond28/dXO0ut1mrYMNHpROQ3pWoDQC1TebGLjY2dNGnSpEmTunTpIiJt2rQJ\nDw9funRpTEzMyJEjDx48WPMhRUS8vb2PHz9e8TZHjx719vY2Tx7A6NKxY/8bh+V+WLW5N2/e\nuF07ETn19ddqZwEAFVRe7M6fP9+iRQsRsbGxEZGioiJleVhY2KRJkxYsWFCj+YwiIiI2btz4\nn//85+bNm7evzc/PX7BgQXR09PDhw82TBzD6/+OwgwernQXScuhQEbl66tSVkyfVzgIA5lb5\nNXZ169ZVxjcdHBxcXV3T0tIeeeQRZVVISMjy5ctrNuCfFi5cGBsbO3369MWLF3fq1MnX19fV\n1dVgMOTl5Z05cyYuLq6goKBbt25z5841Tx7ASBn1837oIcZhLUHrYcNiZ80SkdMbN3Yx1788\nAcBCVF7sunXr9uGHHz788MM9evS47777VqxYMWTIEFdXVxHZs2ePo6NjzYcUEfHw8Dh8+PCK\nFSvWrl27d+9evV5vXGVvb9++fftx48aNGzfO1tbWPHkAxcVffslOThbGYS2Ge4sWjdq1u3T0\n6G8UOwC1T+XFbvbs2d27d582bVp8fPyECRPGjRsXEhLSoUOH9PT0Y8eOjTLjw84dHBymTp06\nderUwsLCs2fPKk+ecHNz8/Pzc3BwMFsMoKzf/hyHDRo0SO0s+J9WQ4deOno068SJKydP1g8J\nUTsOAJhP5cWuU6dOBw4ciIuLE5ExY8YkJycvW7YsKipKp9P1799flblFnJycgoKCzH9c4Han\nN20SEZ8uXdz8/NTOgv9pPXx47OzZIvLbpk0PmevOfQCwBJXfPCEi7du3nzhxoojodLpXX331\n6tWr6enp+fn50dHRDRo0qOGEgOW6+PPPOSkpwjishXFv0aJRWJgY72sBgFqj8mLXvXv3lStX\n5uTkGJc4OTk1a9aMp7ICSm/Q2dgwL7GlUe6Nzfr11ytJSWpnAQDzMWkeu+eff75JkyaDBw+O\niooyTncC4DdlHLZrV1cfH7Wz4C9a/znzETMVA6hVKi92v//++9tvv/3AAw9ERUUNGjSoSZMm\nf/vb32JjYw0GgxnyARbrwpEjOamp8ufJIVgUj4CAhvffL4zGAqhlKi92TZs2/cc//nHo0CGl\n4bVu3XrlypWPPPJI8+bN58yZk8QwB2or5XSdzsaGeYktU6s/R2OV54IAQG1g0s0Tilsanr+/\n/xtvvBHCVAKorZTnw/p07erKg+wskvGOFk7aAag9qlDsjFxcXOrXr9+0aVM3N7dqDwRYhUvH\njv1vHJbbJiyVZ8uWjMYCqG0qn8fO6NKlS1u2bImMjNyzZ09JSYm7u/ugQYNGjBhRc+EAi6Wc\nrhOdLjAiQu0suKNWQ4dePn48KzHxSlJS/eBgteMAQI2rvNidO3cuKioqMjIyNjZWr9fXqVMn\nIiJi5MiRffr0MdvzxABLkxIVJSJeHTsyL7ElazlkyIG5c0UkOTKyPg+SBlALVF7sfH19DQaD\nnZ1dr169RowYMXDgwLp165ohGWCxrp46lXXihIjwGDELV69Vq4Zt215OSPgtMvJBih2AWqDy\nYte1a9cRI0YMHTq0YcOGZggEWL7/jcOKBA0cqG4SVCpo0KDLCQnKNZEeAQFqxwGAmlV+sbtw\n4YKjo6Onp6eIbNy4UUT0ev2FCxfK3bhJkyY1lw+wQEqxa3j//Z4tW6qdBZVoOWjQoYULRSQ5\nKqrjtGlqxwGAmlV+sfPy8goPD9+5c6fyuuJdMFMxapVrGRmXjh0TkZaMw1qDBvfdV69Vq6un\nT1PsANQG5Re74cOHh4WFGV+bMQ9g6ZIjI8VgEJEg5iW2EoEREXGvv/7H4cO5mZl1mzZVOw4A\n1KDyi9369evLfQ1AGYf1bNmyQZs2ameBSYIGDYp7/XUxGFKio9tNmqR2HACoQZVPUHzgwIGr\nV6+WuyouLi7yz6vIgdog79y58z/9JMxLbFWMs9IkR0WpnQUAalblxa5bt2779+8vd1VsbOyE\nCROqOxJguZKjogylpcIFdtblz3mkz+7deyMrS+00AFCD7jjdSUpKSkpKivL66NGjTk5Ot2xw\n48aNDRs23Lx5swbTARYmefNmEXFv1qzxAw+onQVVEDRo0C/Llxv0+tRt20LHjlU7DgDUlDsW\nu02bNs2aNUt5vXjx4jttNoQBKdQaN7KyMmNjRZmXWKdTO87duHjx4s2bN3v16qVihueee+7p\np58280Gbduvm0qRJ/oULyZs3U+wAaNgdi93MmTOfffbZI0eODBgwYPTo0SEhIbdsYGtr26JF\ni/79+9dwQsBSpGzZUlpSItb8wInff/9dr9e3b99erQA7duz49ttvzV/sdDY2AU89lbByZcau\nXUXXrzu4uZk5AACYR0VPnvDy8urfv3/fvn1ffPHFBx988PYN8vPzr1y5wgTFqCWU+2FdmjTx\nfughtbPck9dee02tQ1+8eFGtQwcNGpSwcqX+5s20HTtam71ZAoB5VH7zRExMTLmtTkSio6Mf\n4Eoj1A43r137fc8eEQkaNEhnU/kvDiyN/+OPO3l6yp8XSgKAJlX+rFgRycrKWr9+fUZGRklJ\niXFhYWFhTExMXl5ejWUDLEjqtm36oiIRacm8xNbJxt6+Rd++Jz//PG379uKCAntnZ7UTAUD1\nq7zYZWRkdOrU6fLly+V8s53dvHnzaiAVYHGUcdg69es3feQRtbPgLgUNHHjy88+LCwrO7NoV\nOGCA2nEAoPpVPqI0d+7cwsLC9957b/fu3SKyatWqnTt3zpw508fHJyYmZv78+TUfElBZcX7+\nme++E5GA/v1t7Ew6zw0L1Kx3b+VEHaOxALSq8mIXGxs7adKkSZMmdenSRUTatGkTHh6+dOnS\nmJiYkSNHHjx4sOZDAirL+Pbb4oICseb7YSEi9s7OzXr3FpHUbdtKi4vVjgMA1a/yYnf+/PkW\nLVqIiI2NjYgUFRUpy8PCwiZNmrRgwYIazQdYAuVRVPaurv49e6qdBfdEeWRIYXb27z/8oHYW\nAKh+lRe7unXrKjMUODg4uLq6pqWlGVeFhITEx8fXYDrAApQWF6dt3y4iLfr0sbvtESywLi36\n9bN1cBCeGwtAo0x6VuyHH364d+9eEbnvvvtWrFhhvBN2z549jo6ONZoPUN3ZffsKs7NFhMvt\nNcDR3d3v8cdFJGXLFuWxvwCgJZUXu9mzZ1+5cmXatGkiMmHChPj4+JCQkEGDBrVr127lypXq\nPpsIMIOULVtExNbBoUXfvmpnQTVQRmPzL1w4/+OPamcBgGpWebHr1KnTgQMHnnvuOREZM2bM\nrFmzsrKyoqKijh8/3r9//2XLltV8SEA9BkNKdLSI+D32mKO7u9ppUA0CIyJ0trYikrxli9pZ\nAKCamTSBfvv27SdOnCgiOp3u1VdfvXr1anp6en5+fnR0dIMGDWo4IaCm83FxuZmZIhIYEaF2\nFlSPOg0a+HTpIlxmB0CLyp+RKzMzs5Jvs7O7cuWK8rpp06bVHAqwGMrffp2NTWD//mpnQbUJ\njIjIjI3NSUnJ+vXXBqGhascBgGpTfrHz9fU1fRcGg6GawgAWR7nAzuvBB128vNTOgmoTNGjQ\n3n/9S0RStmyh2AHQkvKL3fDhw82cA7BAV5KSrp4+LSJBjMNqi3uzZg3btr2ckJC8ZcuDc+eq\nHQcAqk35xW79+vVmzgFYIOM1WEx0oj1BAwdeTki4+PPP1zIy3Js1UzsOAFQPk26eUOTm5p44\ncSInJ6fm0gAWRRmHbRAa6tmypdpZUM2MZT112zZ1kwBANTKp2O3bt69Dhw5ubm6hoaE//jnz\nU//+/Xfv3l2T2QA15Z07dyE+XkSCBg5UOwuqX6N27dybN5c/6zsAaEPlxS4uLu6JJ5747bff\nwsPDjQsvX7585MiRPn36/PzzzzUZD1BNclSUGAzCRCfapZy0O7tv342sLLWzAED1qLzYLV68\nuEmTJidPnlyzZo1xYcOGDY8fP96kSZOXX365BtMB6lEusHPz92/crp3aWVAjlMpu0OuVZwED\ngAZUXux+/PHHiRMn3j5ZXaNGjV544YX9+/fXTDBATTdzcjJjY0X526/TqR0HNaLpww87N2wo\nPIICgIZUXuyuXbt2p2ntvLy88vLyqjsSoL6UrVtLi4uFiU40TWdr26JfPxHJ+Pbb4vx8teMA\nQDWovNg1adIkKSmp3FX79+/39vau7kiA+pRx2Dr16/s8/LDaWVCDlOJecuPGmV271M4CANWg\n8mLXp0+f999//5dffim7MDs7e86cOZ9++mnfvn1rLBugDuOf+YD+/W3syp/rEdrg/8QTDnXr\nCqOxALSi8mK3aNEiV1fXzp07Kx1u1qxZ7dq18/LyevXVV/38/ObPn1/zIQGzMg7MMQ6reXZO\nTv69eolIWkxMaUmJ2nEA4F6ZNBQbHx8/YcKEM2fOiMixY8eOHTtWt27diRMnHjlypHHjxjUf\nEjAr5eSNvYuL8icf2qbU9xtXrii3ywCAVTNpmKlRo0bvv//+ihUrLl26lJubW7duXfoctMo4\n+UWz8HC7OnXUjoMaF/DUU7YODvqiopQtW/wefVTtOABwTyo/Y7d169YTJ06IiE6na9y4cWBg\nIK0OGnZ2/35lulqeD1tLOHp4NH3kERFJ3rxZmZIaAKxX5Wfshg8fvnDhwjZt2pghDaC6lOho\nUSbC6NNH7SwalJube+XKlY0bN6oVwMbGpm/fvk5OTmUXBkZEnPn++9zMzItHjzZ+4AG1sgHA\nvau82D388MP79u2bPn26jY1JD5YFrFrq1q0i0rRbtzoNGqidRYMSEhIyMjJ+//13tQKkp6fv\n2LGjd+/eZRcGDhiw+6WXxGBIjoqi2AGwapUXu88//3zq1Kl9+/Z95plnWrZs6e7ufssGgYGB\nNZMNMLdLx45dS08X7oetMQaDwd/fPzk5Wa0Arq6uer3+loV1mzZt0r79hfj4lOjoh3lMIgBr\nVnmxa9KkifJi586d5W5g4KoUaEXKn5OZBfTvr24SmFnggAEX4uOzEhOzk5M9g4LUjgMAd8mk\na+wcHBzs7e11PDETWqdcYNcoLMy9eXO1s8CsAgcMODBvnoikbtvW4Z//VDsOANylyovd+vXr\nzZADUN31M2cuHT8u3A9bKzW47z7PoKDs5OSU6GiKHQDrxf0QwP+kbNmizHYRyAV2tVLAU0+J\nyLmDBwsuX1Y7CwDcJYod8D/KOKybv3+j++9XOwtUoJypNej1aTExamcBgLtEsQNERAqvXlWe\nKBUYESFcTlor+XTt6tywofxZ8QHAGlHsABGR1D+fAc8FdrWWzta2Rb9+IpLx3XfF+flqxwGA\nu0GxA0T+PEnjVK9e027d1M4C1Si1vuTGjTO7dqmdBQDuxj0Vu/z8/AsXLlRXFEAtJTduZHz7\nrYgEPPWUjV3lt4pDq5o98YS9i4swGgvAat1TsYuOjn6Ax+/A+p3ZtUsZemMctpazq1PHv1cv\nEUndtk0ZmgcA62LSyYmsrKz169dnZGSUlPk/XWFhYUxMTF5eXo1lA8xEOT1jV6dOsyeeUDsL\nVBY4YEDKli03rlw5d/Cgb/fuascBgKqpvNhlZGR06tTpcnkTO9nZ2c2bN68GUgHmYygtTdux\nQ0T8e/VShuFQmynD8aUlJSnR0RQ7AFan8qHYuXPnFhYWvvfee7t37xaRsszooQAAIABJREFU\nVatW7dy5c+bMmT4+PjExMfPnz6/5kEANOnfwYP6FC8I4LEREpE79+j5du4pISlSU2lkAoMoq\nL3axsbGTJk2aNGlSly5dRKRNmzbh4eFLly6NiYkZOXLkwYMHaz4kUIOUcVidjU1A375qZ4FF\nUCr+tYyMywkJamcBgKqpvNidP3++RYsWImJjYyMiRUVFyvKwsLBJkyYtWLCgRvMBNU0pdt5d\nujg3bqx2FlgE47lb7o0FYHUqL3Z169a9ePGiiDg4OLi6uqalpRlXhYSExMfH12A6oIZlnTiR\nk5IiIkE8HxZ/cm/RomHbtkKxA2CFKr95olu3bh9++OHDDz/co0eP++67b8WKFUOGDHF1dRWR\nPXv2ODo61nxIaMepU6eeffZZvV6vVoCMjIyWLVsav0zZskV5EdC/v0qJYIkCIyIuJyRc/Pnn\naxkZ7s2aqR0HAExVebGbPXt29+7dp02bFh8fP2HChHHjxoWEhHTo0CE9Pf3YsWOjRo0yQ0po\nRmpq6rFjxxYvXqxWgDfffLPsLd7KKZkGoaGeQUFqRYIFChww4PDixSKSFhPTbvJkteMAgKkq\nL3adOnU6cOBAXFyciIwZMyY5OXnZsmVRUVE6na5///7Lli2r+ZDQFHt7+xkzZqh19FWrVhlf\n5507dyE+Xjhdh9s0btfOzc/v+u+/p0RHU+wAWBGTnjzRvn37iRMniohOp3v11VevXr2anp6e\nn58fHR3doEGDGk4I1JSUrVvFYBAmOsHtdDql7p/dt68wO1vtNABgqvKL3YULF7L//H/Zhdvk\n5OQ4OTldu3ZN+dKMaYHqpFxg5+rt7dWxo9pZYHGUul9aXJy+Y4faWQDAVOUPxXp5eYWHh+/c\nuVN5XfEuDAZD9ecCatjNa9fO7t0rIoEREaLTqR0HFse3e3cnT8/C7OyU6OhgLiYGYCXKL3bD\nhw8PCwszvjZjHsBM0r/5Rl9UJIzD4g5s7O2b9+mT9MUXad98U1JYaOfkpHYiAKhc+cVu/fr1\n5b4GNEO5H9bR3d23Rw+1s8BCBQ4YkPTFF8V5eb/v2dOiTx+14wBA5Uy6eUJETpw4kZWVVfbL\no0eP1kwkoMaVFhen79wpIs379LF1cFA7DixUiyefVE7UMVMxAGtRebErLi5+7rnnQkNDf/31\nV+PCH3744YEHHhg7dqyKM80Cd+33PXtu5uQI47CokL2rq99jj4lISnS0obRU7TgAULnKi927\n7777ySef9O3b19/f37iwV69ew4cPX7NmzXvvvVeT8YAaoZyAsbG3bx4ernYWWDSl+hdcvHj+\np5/UzgIAlau82K1Zs6Zfv34xMTHNmzc3LmzVqtX69ev79OlDsYPV0YmkbtsmIn6PPebo4aF2\nHFi0wAEDdDY2wmgsACtRebFLSUl59NFHy13Vo0ePM2fOVHckoGY1KCzMzcwUxmFhAufGjb06\ndxaR5M2b1c4CAJWrvNi5ubllZGSUuyojI6NevXrVnAioYc3y80VEdLqAp55SOwusgPIPgOzk\n5KunTqmdBQAqUXmx69u37+rVq3f8de714uLilStXfvzxx0888USNZQNqRPP8fBHx6tixbtOm\nameBFQgaNEh5wWgsAMtX/jx2Zb3yyivffPNN3759/fz8WrVq5ejomJOTc/LkyatXr3p5eb3y\nyitmSAlUF7fiYs+iIhEJYBwWpvEMCqrXuvXVU6dSoqM7zZihdhwAqEjlZ+y8vLyOHj36wgsv\n5Ofn79q1KyYm5sCBA7a2thMmTDhy5Iifn58ZUgLVRTldJ1xgh6pQPi3nf/op//x5tbMAQEVM\nmqC4cePGH3zwweXLl8+dO5eSkpKXl3fp0qWPP/7Yx8enpvMB1cs/L09EPAICGrRpo3YWWA2l\n2BlKS5X7qQHAYpn65AkR0el03t7eAQEBLi4uNRcIqDkFly83LiwUTtehirw6d3Zp0kS4zA6A\nxav8GjuDwbBp06a1a9dmZmYWFxffvkHZJ1IAliwtJkb5p0xgRITKUWBVdDY2Af37J3z88Znd\nu4tycx3q1lU7EQCUr/Ji99Zbb02fPl1EnJ2d7e3taz7S3cvOzr527VqzZs3UDgILlbxli4jc\nsLX16dJF7SywMoEDBiR8/LH+5s30nTtbDR2qdhwAKF/lQ7HvvPNOeHh4ampqfn5+TnnMkFKR\nkJDQt2/fZs2adevW7f3337/9MbWvv/562cdjAGUVFxT8/v33IpLh4qKztVU7DqyM/+OPKyfq\nGI0FYMkqP2N38eLFTZs2tWjRwgxpKnDw4MHHH3/85s2bzs7Of/zxx4EDBzZs2BAVFeXp6alu\nMFiL9G++KS4oEJEMLhJF1dk6Ojbv3fv0xo1p27fri4psHRzUTgQA5aj8jF3jxo0NBoMZolRs\n6dKlpaWlUVFReXl5ubm5//3vfw8dOhQeHp7/5+wVQMVSt24VkWIbm3POzmpngVVS7rm5mZNz\nLjZW7SwAUL7Ki92IESPWrVtnhigVS0hIGD58eEREhE6nc3R0nDp16s6dO48fPz5s2LDbx2SB\nW5SWlKRt3y4iZ52d9Tqd2nFglVr066ecqFMu1gQAC1R5sZs/f35qauqoUaO+/fbbpKSklNuY\nIaWIXLhw4Zbh4Mcee2zVqlU7duz45z//aZ4MsF6Z+/bduHJFGIfFPXB0d2/6/9i787Coyv4N\n4N+ZYYZ9AHEBhEGEQXHJBddA00RTMEVR0VIzpDfzxZLStyxF0cxKM3Mr29wyVxRUNHNB1FJB\nQUVckFVQNtm3GWA4vz9O8TNFUIN5Zrk/V1eXnHNk7piT3nPOeZ7npZeI6M6BA6QB9zEAAB7X\n9DN25n8P7P/1118bPEA9N2rbtWt35cqVRzZOmzbt5s2bK1assLe354fuAjSIf+BdKBbfRbGD\nf0Hu65tx/Hj5vXs5ly/b9OnDOg4AwKOaLnZTpkyRSCQGBk0f2aLGjx+/bt269evXv/322w/P\nurJ8+fL79+//73//u3//Pu7JQsM4ji92DkOGKNPSWKcBLebi63siKIg4Ljk8HMUOADRQ03Xt\nSRfq1CwkJCQ8PHzOnDkRERHHjx+v3y4QCDZv3mxhYbFmzRqG8UCT5cbFld69S/zD7zhP4F8w\ns7Oz7dcv++LF5PBwz08/ZR0HAOBRz7CkWFlZWWJiojonrnuYtbX15cuXZ8+e3a1bt0d2CQSC\nb775JiwszNnZmUk20HB/PeouELiMGcM6C2g9fmzsg8TEwtu3WWcBAHjUUxW76OjoPn36SKXS\nbt26Xbhwgd84ZsyYkydPtmS2R7Vu3XrDhg1ff/11g3vHjx+fnJysCTOzgKZJDg8nIps+fcwd\nHFhnAa3n6ufH/wIzFQOABmq62MXExIwYMSIpKemVV16p35ifnx8bG+vt7X358uWWjNcAjuNS\nU1NPnDhx4MCBAwcOnDp1KjMzU80ZQIsUp6Q8uH6dsD4sNBMrV9dWnTsTih0AaKSmi93SpUtt\nbGxu3LixZcuW+o1t2rS5evWqjY3NsmXLWjDdPxUVFc2bN8/GxsbZ2Xn48OHjx48fP378sGHD\nZDKZo6PjsmXLqqqq1BYGtMWdAwf4X8hR7KCZ8OdS9oULFdnZrLMAAPxD04MnLly4MG/ePHt7\n+5ycnIe3t23bdtasWStXrmyxbP+QnZ3t4eGRlpYml8u9vb0dHR1NTU2JqLS0NCUlJTo6OiQk\nJCwsLCoqCouMwcP4yyqWLi7WXbqwzgI6wsXX9+Lnn3N1dckHD/Z4+23WcQAA/l/Txa6kpMTh\nCU8m2dralpeXN3ekhi1atCgrK2vPnj0TJ058fK9Kpdq0aVNQUFBoaCiGx0K9yry8++fPE5Hr\n+PGss4DusO3Xz9zeviwrKzkiAsUOADRK07dibWxsbt682eCuM2fO2NnZNXekhkVGRk6bNq3B\nVkdEIpFo9uzZkyZN2r9/v3rygFZIOXiQU6no75GMAM1DIHB+9VUiyjhxQsloogAAgAY1Xey8\nvb03btwYFxf38MaioqJPPvlk8+bNPj4+LZbtHwoKCpqczcTNzS03N1c9eUAr8BOdmLRrZztg\nAOssoFP4sTh1NTVpv/3GOgsAwP9rutiFhoaamZn179+f73ALFizo1auXra3tZ599JpPJQkJC\nWj4kEZGdnd3Vq1cbPyY+Pl5tVxBB89WUl989eZKIXMaOFQifYcpGgCbJhg41srIijI0FAA3z\nVLdiL1269NZbb2VkZBDRlStXrly5Ym5u/s4778TGxrZr167lQxIR+fr67t27d9WqVUql8vG9\nFRUVixcvjoiI8Pf3f9bvXFZWVtSosrKy5vgvAHVLPXq0VqEgjIeFFiAUi51GjSKi1MhI/jQD\nANAET7UCbNu2bTdu3Lhhw4a8vLyysjJzc3O19bl6S5YsOXv27Pz585cuXdqvXz8HBwczMzOO\n48rLyzMyMmJiYiorKwcNGrRw4cJn+rYpKSlyufxppjXG1Mdah7+UIjE3l738MussoINcfH1v\n/vprdVlZZlQUX/IAAJh7qmLHEwgE7dq1U3+l41laWp4/f37Dhg3btm07ffq0SqWq3yUWi93d\n3QMCAgICAkQi0TN9W2dn5+vXrzc+Ad61a9cCAgIEAsFzRgcWVNXVqZGRROQ0apTI0JB1HNBB\nTiNHGhgZ1SoUd8LDUewAQEM0Xey8vLwa2VtdXX3mzJnmy9MYiUQSHBwcHBysUCgyMzP5O6RS\nqVQmk0kkkuf+tl2amt6swZu/oOHunjrFD1eUY6ITaBkSc3PZsGGpkZHJERHDv/0Wz3ECgCZo\nutg1siCsubm5ubl5s+Z5KkZGRnK5XP2vC1qEX3BCZGjYEZdSoMXIfX1TIyMrc3OzL1ywe/FF\n1nEAAJ5i8ETNYyoqKq5fvz5v3rxevXo9aYo7AIa4urqUgweJyNHLSyKVso4DOst5zBiBSER/\nT6wDAMBc08XO4DEmJiZdu3ZduXLliy+++OGHH6oh5dNISUnx8vJq/MYx6In7f/5ZkZNDRPJx\n41hnAV1m0rat3cCBRHQHU6MDgGb4Vw+FjB079uDBg80V5V8qKys7efJkIzeOQX8k7d9PRAKR\nyHnMGNZZQMfxHx6KU1Lym5poEwBADf5VsSsrKyvWmOV0OnfunJCQkJCQwDoIsJccHk5E9oMG\nmbRpwzoL6Dj5+PEkENDfj3UCALDV9OCJBqtbTU1NYmLi//73PycnpxZI9TyMjIy6devGOgWw\nlxsXV5KWRrgPC2ph0aFDu169cuPikvbvf3HJEtZxAEDfNV3srKysGtm7ffv25gvzVDiOS0tL\nS01N5ac7sbCwkMvlDg4Oao4BGuuvCycCgQsWnAC1kI8blxsX9yAhofD27VadOrGOAwB6reli\nxy8R+wixWGxra+vn5zds2LAWSNWwoqKi5cuXb9++PS8v75FdMpksMDBw3rx5xsbGassDmin5\nwAEisunTRyqTsc4CekE+fvy5RYuIKDk8vJ/GjCcDAP3UdLE7fPiwGnI0KTs728PDIy0tTS6X\ne3t7Ozo6mpqaElFpaWlKSkp0dHRISEhYWFhUVFTjlxhBtxXdufMgMZFwHxaeQKlUzp07d/Hi\nxc37bb2NjKQKxYFly2bv3dv4kc7Ozrt3727eVwcAqPe0S4olJia2a9eudevW9V9WV1f36tWr\nxYI9atGiRVlZWXv27Jk4ceLje1Uq1aZNm4KCgkJDQ9esWaO2VKBpksLC+F+g2EGDamtrO3To\n0OzzIgmkUoqKsq6snDRiBGdh8aTDbt++jVYHAC2q6WJXU1Mza9asn3/+OSoqasiQIfzGqKio\nOXPmzJgx48cff3zW5VmfT2Rk5LRp0xpsdUQkEolmz5595syZ/fv3o9jpM/4+rHWXLq06d2ad\nBTSUh4dHs0/AmTNs2C99+xLHDbez6xUU9KTDjhw5gmIHAC2q6elO1q1b9/PPP/v4+Dg6OtZv\nHD58uL+//5YtW9avX9+S8f5fQUGBs7Nz48e4ubnl5uaqJw9ooPJ797JjYwmX60DtbPr0sXBy\nIkx6AgCsNV3stmzZMnr06MOHDz88s0mnTp127drl7e2ttmJnZ2d3tan5P+Pj4+3s7NSTBzRQ\n0v79xHGEYgcsuIwdS0SZ0dGV+fmsswCA/mq62CUnJw8dOrTBXUOGDMnIyGjuSA3z9fXdu3fv\nqlWrlErl43srKioWL14cERHh7++vnjyggfj7sFJHx3a9e7POAnqH/zjBqVQphw6xzgIA+qvp\nZ+ykUml6enqDu9LT01u1atXMiZ5gyZIlZ8+enT9//tKlS/v16+fg4GBmZsZxXHl5eUZGRkxM\nTGVl5aBBgxYuXKiePKBpqgoKss6eJf7vV4GAdRzQO+09PU1tbCpycpIPHOgeEMA6DgDoqaea\nx+6nn34aOXKkt7d3/caampotW7Z8//33U6ZMacl4/8/S0vL8+fMbNmzYtm3b6dOnVSpV/S6x\nWOzu7h4QEBAQEKCekRyggVIOHqyrrSXchwVGBEKh86uvXvvhh/Tjx6tLSyVSKetEAKCPmi52\nn3766dGjR318fGQyWadOnQwNDYuLi2/cuFFYWGhra/vpp5+qISVPIpEEBwcHBwcrFIrMzEx+\n5QmpVCqTySQSidpigGbiH1o3bt26vYcH6yygp+Tjxl374QeVUpl65EjnyZNZxwEAfdR0sbO1\ntY2Pj1+yZMnevXuPHz/Ob2zTps1bb721ePHi9u3bt3DCBhgZGcnlcvW/LmismvLyjOPHicjF\n11eAq7bAiGzYMEMLC2VJyZ0DB1DsAICJpgdPEFG7du2+/fbb/Pz8e/fuJScnl5eX5+Xlff/9\n90xaHcDjUiIjaxUKInIdP551FtBfIomk4+jRRJR65Ah/QgIAqNlTFTteeXl5UVGRtbU1v5YX\ngOZI2rePiAwtLWVqXLwY4HH8I5415eUZv//OOgsA6KOnKnbR0dF9+vSRSqXdunW7cOECv3HM\nmDEnT55syWwAT6WmsjLt6FEichk7VoSnLYEpp1GjxKamhJmKAYCRpotdTEzMiBEjkpKSXnnl\nlfqN+fn5sbGx3t7ely9fbsl4AE1L/+23mooKwn1Y0ABiE5MOI0YQUfLfw7QBANSp6WK3dOlS\nGxubGzdubNmypX5jmzZtrl69amNjs2zZshZMB/AUksLCiEhibu44YgTrLAAkHz+eiBSFhZlR\nUayzAIDeabrYXbhw4Z133rG3t39ke9u2bWfNmnXmzJmWCQbwVFRKZcrhw0TUcfRoAyMj1nEA\nyGXsWP5UvL1vH+ssAKB3mi52JSUlDg4ODe6ytbUtLy9v7kgAzyD92LHq0lIicvXzY50FgIi/\neOzlRUR39u/H3VgAULOmi52Njc3Nmzcb3HXmzBk7O7vmjgTwDPj7sGITE6eRI1lnAfiL3M+P\niKoePMjCPQ0AUK+mi523t/fGjRvj4uIe3lhUVPTJJ59s3rzZx8enxbIBNKGupoa/D+vk7S3G\nLDygMeS+vvwAbf6DBwCA2jRd7EJDQ83MzPr37893uAULFvTq1cvW1vazzz6TyWQhISEtHxKg\nYRknTigKCwn3YUHDGFpayl5+mYiSwsK4hxa2BgBoaU91K/bSpUtvvfVWRkYGEV25cuXKlSvm\n5ubvvPNObGxsu3btWj4kQMP4yyEGRkYdvb1ZZwH4B9cJE4ioMjf33h9/sM4CAHrkqSYobtu2\n7caNG/Pz83Nycu7cuZOTk5Ofn79x48a2bdu2dD6AJ+FUqpSDB4mowyuvSKRS1nEA/sHF11do\nYEB/L4sCAKAeTRe7gwcPJiYmEpFAIGjXrp2Liwuu0oEmuBsVVZmfT7gPCxrJ2NraYehQIrq9\ndy9XV8c6DgDoi6aLnb+//+HDh9UQBeCZ8PdhhWIxv+w6gKbhP3JU5OTcP3+edRYA0BdNFztP\nT8/o6Og6fOIETcLV1SVHRBBRh+HDjaysWMcBaICrn99fd2MxNhYA1KXpYvfLL79YWlr6+Pjs\n3Lnz8uXLyY9RQ0qAR9w7d64iO5v+njAMQAMZt25tP3gwESXt3UscxzoOAOgFgyaPsLGx4X/x\n22+/NXgAhz+wQO3+ug9rYOAyZgzrLABP5Ornd/fUqbKsrOyYGNv+/VnHAQDd13Sx8/f3l0gk\nYrFYIBCoIRBA0zjuzoEDROQwdKhx69as0wA8kauf38l33+VUqqR9+1DsAEANmi52u3btUkMO\ngKd3/8KFssxMwnhY0Hgm7dq19/DIOnMmad++l778knUcANB9T3zGbv369efOnXtk45UrV+7d\nu9fCkQCawE8MJhCJ5L6+rLMANIGfqbgkPT3n8mXWWQBA9z2x2M2ZM2ffY/Nq9urVa8WKFS0c\nCaBRHMcXO4eXXjLBlIqg8TpNmCAQConoDsbGAkDLe6qVJwA0x70//ii9e5eIOk2axDoLQNNM\nbW3tBg4kolt79rDOAgC6D8UOtMztPXuIvw87bhzrLABPhX8YtCQ1VZGSwjoLAOg4FDvQJlxd\nHT/RiWzoUBMsVQxaQu7nRwIBEZU+9uAyAEDzQrEDbZJ15kz5/ftE1HnyZNZZAJ6WVCazGzCA\niErOnMGsUQDQolDsQJvw92GFYrELxsOCVuns709ENTk5tlieEQBaUtPz2AFoCE6lStq/n4gc\nvbyMra1ZxwF4Bp0mTYr64ANOpXJTKvv06cMwSWBg4KxZsxgGAIAW1Vixu3DhwpIlSx7ZGBMT\n88jGx48BaAmZp09X5uYSxsOCFjK1tbX39MyMjn6B4zwmTCBGC/ns3bv34sWLKHYAOqyxYnfx\n4sWLFy8+sjE2NjY2NvbhLSh2oB63du8mIpFEgvVhQRt18vfPjI62JHpt8GC7F19kkuHWrVtM\nXhcA1OaJxW779u3qzAHQuLra2uTwcCLq8MorRq1asY4D8MxcJ0w4ERREdXW3du9mVewAQOc9\nsdhNnTpVnTkAGnf35MnK/HzCfVjQWiZt2qicnEQpKbf37Bm6erVAJGKdCAB0EEbFgnbgx8Ma\nGBk5v/oq6ywAz6m2a1ciqsjJyTp7lnUWANBNKHagBepqau6EhxOR06hRhhYWrOMAPKdaNzcV\nEf39wCgAQLNDsQMtkP7774rCQsJ9WNB2xsZJRESUtG9fXW0t4zAAoItQ7EAL8PdhxSYmzqNH\ns84C8K9cJSKiqgcP7p46xTgKAOgiFDvQdCqlMjkigoicvL3FZmas4wD8K9eJDIyNieg27sYC\nQAtAsQNNl/bbb8qSEvp7USYAraYkcho5koiS9u9XKZWs4wCArkGxA013e+9eIhKbmjp5e7PO\nAtAM+EdFlcXF6cePs84CALoGxQ40Wk1lZcrBg0TkPHq02MSEdRyAZuD86qtiU1PC3VgAaAEo\ndqDRUg4erC4rI6LOU6awzgLQPMSmph19fIgoOSKitqqKdRwA0CkodqDRbu7cSURGVlb8Y0kA\nuoF/YLS6rCzt6FHWWQBAp6DYgeZSFBam//YbEblOmCAyNGQdB6DZOHl7S6RSwkzFANDcUOxA\ncyXt26eqriYit9deY50FoDkZGBm5jB1LRKmHD/MPGwAANAsUO9BcN3/9lYjM7OzsBw1inQWg\nmfEfV2oqK5PDw1lnAQDdgWIHGqr8/n1+oXS3114TiESs4wA0M0cvL5N27Yjoxo4drLMAgO5A\nsQMNdXPHDq6ujnAfFnSU0MCg86RJRJRx4kRFTg7rOACgI1DsQEPx92Fbde7ctlcv1lkAWoTb\n668TEadS8ashAwD8eyh2oIkKb93Ku3KFcLkOdJpt//5Wrq5EdBN3YwGgmaDYgSaqf+qo8+TJ\nbJMAtCi3KVOIKDsmpvD2bdZZAEAXoNiBJuKXWrLt399KLmedBaAFdZk6lQQCIrq1cyfrLACg\nC1DsQONkX7hQdOcO4T4s6AFLFxebPn2I6MYvvxDHsY4DAFoPxQ40Dj9sQiASdZo0iXUWgBbX\n5fXXiag4JSU7NpZ1FgDQeih2oFk4lerWnj1E5DhsmKmNDes4AC2u85QpQgMDwhAKAGgOKHag\nWTJOnKjMzSXchwW9YdK2rezll4no1q5ddbW1rOMAgHZDsQPNwt+HNTAycvH1ZZ0FQE34Ce0q\n8/IyTpxgnQUAtBuKHWiQWoUiOSKCiJxffdXQwoJ1HAA1cfXzE5uaEu7GAsC/hmIHGiQ5IkJZ\nUkJEnadMYZ0FQH3EpqbOr75KRHfCw2sqKljHAQAthmIHGiRx61YiMmrVqqO3N+ssAGrF342t\nKS9POXiQdRYA0GIodqApKnNzM44fJyK3KVNEhoas4wColdMrrxi3bk0PLbsCAPAcUOxAUyRu\n384PCewyfTrrLADqJhSL+Ykb03//vTI/n3UcANBWKHagKRK3bSMiazc32379WGcBYICf4qeu\npubWr7+yzgIA2grFDjRCblzcg4QEwuU60GPtPTxadepERNe3bmWdBQC0FYodaAT+cp1AKOSX\nVwLQT/wQirz4+PyrV1lnAQCthGIH7NXV1t7atYuIZMOGmTs4sI4DwEy3N98UiESEi3YA8LxQ\n7IC9tCNH+GXEur3xBussACyZ29s7DBlCRDd37KirqWEdBwC0D4odsMdfnBCbmbmMHcs6CwBj\n/Mebyry81CNHWGcBAO2DYgeMKQoLUyMjiajzpEliMzPWcQAYc50wgV9PLxF3YwHg2aHYAWM3\nd+5UKZWE8bAARERkYGzsOmECEaUcPowJ7QDgWaHYAWM3tm0jIqmjo/2gQayzAGiErm+8QZjQ\nDgCeC4odsFSUlJQdE0NEXd94QyDE2QhARGTv6Wnp4kIYGwsAzw5/lQJL1zdv5n+B6esA/p9A\n0HX6dMKEdgDw7FDsgBmuro5f77y9p6eVqyvrOAAapOv06fw1bFy0A4BngmIHzNw9ebIsM5Mw\nfR3AY6SOjpjQDgCeA4odMHN9yxbixwBOnMg6C4DG6TZjBmFCOwB4Rih2wIaisPDO/v1EJB83\njp+1CwAeJh8/XmJuTpjQDgCeBYodsHHjl19qFQoi6h4YyDoLgCb2PaMhAAAgAElEQVQSm5p2\nmjiRiFIjIzGhHQA8JRQ7YOPajz8SkaWLi2zIENZZADRU1xkziEhVXX1r507WWQBAO6DYAQPZ\nFy8+SEggou4zZ5JAwDoOgIaqn9Au4aefWGcBAO2AYgcM8JfrhAYGXbGMGEAjBILuAQFElH/t\nWvbFi6zTAIAWQLEDdZNw3O3du4mo4+jRZnZ2rOMAaLTuAQFCsZiIrv3wA+ssAKAFUOxA3bqr\nVNVlZUT0AoZNADTFpF07lzFjiOjWrl3VpaWs4wCApkOxA3XrXVNDROb29k4jR7LOAqAFXnjr\nLSKqqai4+euvrLMAgKZDsQO1Uqant6+rI6JuAQECkYh1HAAt0GHECEtnZyK68t13rLMAgKZD\nsQO1Kj52jIgEQmG3N99knQVASwgE/CoU+Vev5ly6xDoNAGg0FDtQn1qFouT0aSJyHD7cokMH\nxmkAtEf3wEAMoQCAp4FiB+pzJyxMhWETAM/O1Mamo48PEd389VcMoQCARqDYgfrw09dVCgTO\nr77KOguAlvlrCEV5+a3du1lnAQDNpVPFrqCgIDk5mXUKaFhxSkpmdDQRXTEwEBkaso4DoGWc\nRo6UOjoS7sYCQKN0qtitXLlSLpezTgENu/bDD8RxRBRnYMA6C4D2qR9ylBMbmxsXxzoOAGgo\nnSp2oLHqamoSt24lIpOuXR8IcdYBPI/uM2fykwThoh0APAn+igV1uHPgQEVODhFZvvIK6ywA\n2src3r6jtzcR3fz115qKCtZxAEATac1NsT59+jR5zL1799SQBJ5D/Pr1RGTcurW5pydt2sQ6\nDoC2euGtt1IOHaouLb21e3f3gADWcQBA42hNsYuPjycisVjcyDG1tbXqigPP4EFCQtbZs0T0\nQmBgqUTCOg6AFuvo7W1ub1+WlXXt++9R7ADgcVpzK3b+/PmmpqbXr19XPNm8efNYx4QGxG/c\nSEQCkeiFt99mnQVAuwlEom4BAUSUffFi7uXLrOMAgMbRmmK3bNkyFxeXKVOm1NTUsM4Cz6C6\nrOzmjh1E5Dx6NFabAPj3erz9Nr8KBf+EAwDAw7Sm2InF4h07diQmJn788cess8AzuP7zz9Vl\nZUTU67//ZZ0FQBeY2dm5jB1LRDd37qzMy2MdBwA0i9Y8Y0dEbm5uOTk5jTxIN2rUKEtLS3VG\ngiZw3JVvvyUiSxcX2bBhrNMA6Ijec+Yk7dunUioTfvqp/4IFrOMAgAbRmit2PKlU2qpVqyft\nfemllz766CN15oHGZZw4UXj7NhH1DgoSYPo6gGZiP3hwmxdeIKIr335bh0FjAPAQbbpix+M4\nLi0tLTU1taysjIgsLCzkcrmDgwPrXNCA+A0biEhsYtJl+nTWWQB0Sq+goN//85+yzMyUgwfl\n48ezjgMAmkKbil1RUdHy5cu3b9+e99hjJTKZLDAwcN68ecbGxkyyweNK795NOXyYiNymTjWy\nsmIdB0CndJk69eyCBVUFBXHr1qHYAUA9rSl22dnZHh4eaWlpcrnc29vb0dHR1NSUiEpLS1NS\nUqKjo0NCQsLCwqKioqzQITTD1e++41QqIuqBWU4AmpuBsXG3N9+MXbUq8/Tp/GvX+DuzAABa\nU+wWLVqUlZW1Z8+eiRMnPr5XpVJt2rQpKCgoNDR0zZo16o8Hj1BVVyf8/DMRtff0bNe7N+s4\nADqoV1DQpa+/5lSqKxs3Dv/uO9ZxAEAjaM3z7JGRkdOmTWuw1RGRSCSaPXv2pEmT9u/fr+Zg\n0KDbe/ZU5uYSZjkBaDFSR0d+6dgb27crCgtZxwEAjaA1xa6goMDZ2bnxY9zc3HJzc9WTBxrH\nD5swtbHB0z8ALadXUBAR1VRWXt+yhXUWANAIWlPs7Ozsrl692vgx8fHxdnZ26skDjciNi8u+\ncIGIXnjrLREWhwVoMR2GD2/VuTMRXdm4kaurYx0HANjTmmLn6+u7d+/eVatWKZXKx/dWVFQs\nXrw4IiLC399f/dngEZfXrCEioYHBC//5D+ssADpNIOCfdihOSUk7epR1GgBgT2sGTyxZsuTs\n2bPz589funRpv379HBwczMzMOI4rLy/PyMiIiYmprKwcNGjQwoULn+nbpqamdurUqZHVLOBZ\nld+7d3v3biJynTDB3N6edRwAHdf1jTfOfvJJdWlp3Lp1HX18WMcBAMa0pthZWlqeP39+w4YN\n27ZtO336tEqlqt8lFovd3d0DAgICAgJEItEzfduOHTvGxsY+/N0ed+3atYCAgOfMrX/i1q1T\nVVcTUZ/332edBUD3SczNu06fHr9+ffrvvxclJVm5urJOBAAsaU2xIyKJRBIcHBwcHKxQKDIz\nM/mVJ6RSqUwmk/yLB7l69uzZ+AEN3vyFBtWUl1/dtImI7AcPtunbl3UcAL3Q67//jd+wgTju\n8jffeG3YwDoOALCkNc/YPczIyEgul/fu3bt3794uLi7/ptVB87r244/K4mIi6jtvHussAPqi\nVefOHUeNIqLELVsq8/NZxwEAlrSy2IFm4lSquHXriMjK1RXP+gCoU9/584moprLyysaNrLMA\nAEu6U+xSUlK8vLy8vLxYB9FfSWFhJampRNTn/fcFQt05tQA0n8OQIbb9+xNR/Lp1NRUVrOMA\nADO687dvWVnZyZMnT548yTqI/rr09ddEZNSqVZepU1lnAdA7/HClqoKCxG3bWGcBAGZ0p9h1\n7tw5ISEhISGBdRA9de/cOX5S4l5BQWJTU9ZxAPSOq5+fpbMzEcWuWsU1OtIfAHSY7hQ7IyOj\nbt26devWjXUQPRX71VdEJDI07PnOO6yzAOgjgUjkPncuEZWkpt4JD2cdBwDY0KbpTngcx6Wl\npaWmpvLTnVhYWMjlcgcHB9a59FpJamrKoUNE1GXaNFMbG9ZxAPRUt4CAP0NDqx48iPniC1c/\nP9ZxAIABbSp2RUVFy5cv3759e15e3iO7ZDJZYGDgvHnzjI2NmWTTc7FffcWpVCQQ9AkOZp0F\nQH+JTUx6vvPO+WXLcmJjs86etR80iHUiAFA3rSl22dnZHh4eaWlpcrnc29vb0dHR1NSUiEpL\nS1NSUqKjo0NCQsLCwqKioqysrFiH1S+KwsLErVuJqKO3t3WXLqzjAOi1XkFBsatW1VZVxa5a\nhWIHoIe0ptgtWrQoKytrz549EydOfHyvSqXatGlTUFBQaGjomjVr1B9Pn13ZuJGfXqHPBx+w\nzgKg70zatu06ffrVTZtSDh0quHEDn7UA9I3WDJ6IjIycNm1ag62OiEQi0ezZsydNmrR//341\nB9NztVVVcevXE1Hbnj1lQ4eyjgMAf08kyXH8DEQAoFe0ptgVFBQ4Ozs3foybm1tubq568gDv\n2g8/VObmElG///2PdRYAICKycnV1GTuWiG5s316Rk8M6DgColdYUOzs7u6tXrzZ+THx8vJ2d\nnXryABGplMrYlSuJyMrVtdOkSazjAMBf+MWaVUolv8ofAOgPrSl2vr6+e/fuXbVqlVKpfHxv\nRUXF4sWLIyIi/P391Z9Nb13fsqUsK4uI+i9YIBCJWMcBgL/Yvfhiew8PIrqycaOyuJh1HABQ\nH60ZPLFkyZKzZ8/Onz9/6dKl/fr1c3BwMDMz4ziuvLw8IyMjJiamsrJy0KBBCxcuZJ1UX9TV\n1MR88QURWXTo0OX111nHAYB/6L9gwf7Ro5XFxXFr1w4MCWEdBwDURGuKnaWl5fnz5zds2LBt\n27bTp0+rHlowRywWu7u7BwQEBAQEiHDdSF1u/PJLSVoaEfX76COhWMw6DgD8Q0cfH5u+fXNi\nYy+tXt373XcNLS1ZJwIAddCaYkdEEokkODg4ODhYoVBkZmbyK09IpVKZTCaRSFin0y+cSsVf\nrjO1te36xhus4wBAAwZ88km4r6+ypCR+w4YBn3zCOg4AqIM2Fbt6RkZGcrmcdQq9dnvPnsLb\nt4mo/0cfGRgZsY4DAA1wGTPGpk+fnEuX+It2EnNz1okAoMVpzeAJ0CAcd2HFCiIyadeue2Ag\n6zQA8AQCQf+PPyYiRWFh/IYNrNMAgDqg2MEzu3PgwIOEBCLq+8EHYhMT1nEA4Inkvr5tevQg\nokurVlWXlbGOAwAtDsUOntnFFSuIyKhVqx6zZrHOAgCNEggGLlxIRFUFBVe+/ZZ1GgBocSh2\n8GxSIyNzLl0iIve5c/HIDoDmc/Xza929OxHFrlwprKlhHQcAWhaKHTwb/nKdRCrtFRTEOgsA\nPAWBgB8SW/XgQaukJNZpAKBlodjBM0g/duzeH38QUe85c4ysrFjHAYCn0mniROsuXYjI+vp1\nQW0t6zgA0IJQ7OCpcdzZTz4hIolU6h4czDoNADwtgVDIP2lnUFWFi3YAug3FDp7W7b17cy9f\nJqI+779vbG3NOg4APINOkya16tyZiKwTEmqrqljHAYCWgmIHT6WutvaPkBAiMmnTps/777OO\nAwDPRiAS8U/aiauq4tevZx0HAFoKih08leubN/NLTQz45BMMhgXQRm5TpigtLYnowmefKQoL\nWccBgBaBYgdNq1Uozi9bRkRSR0fMXQegpQQiUZ67OxEpi4v5tZ4BQPeg2EHT4tevL8vMJKIX\nlywRGRqyjgMAz6nUwaHCxoaI4tauLb17l3UcAGh+KHbQhOqystiVK4moVadOXaZOZR0HAP6V\nXHd3EghqFYrzoaGsswBA80OxgybErlxZmZdHRINWrBAaGLCOAwD/SlWbNi5jxxLR9a1bHyQm\nso4DAM0MxQ4aU5mff3nNGiKy6dtX7uvLOg4ANIPBn38uNDDgVKqzH3/MOgsANDMUO2jMhU8/\nrS4rI6LBK1aQQMA6DgA0g1adOnWdMYOIUg4ezDx9mnEaAGhWKHbwRKUZGVc3bSIiRy8v2bBh\nrOMAQLPxCA0Vm5gQ0ZmPPiKOYx0HAJoNih080bmFC1VKJQkEnsuXs84CAM3JzM6u15w5RJR9\n8WLywYOs4wBAs0Gxg4ZlX7hwY8cOInL187Pt1491HABoZv0/+sioVSsiOvvxx5xKxToOADQP\nFDtoAFdXd/Ldd4njDIyMXvryS9ZxAKD5GVpa9l+wgIgKbty4vnkz6zgA0DxQ7KABidu25cTG\nElGfDz6wcHJiHQcAWkSvoCCpTEZEZxcuVJaUsI4DAM0AxQ4eVV1Wxk+CYNa+Pf+BHgB0koGR\n0eAvviCiytzcPzFfMYBOQLGDR51ftqwiO5uIXvryS7GpKes4ANCCOk+eLBs6lIji1617kJDA\nOg4A/FsodvAPxSkpcWvXEpHdwIFuU6awjgMALe7ldeuEYnFdbe2puXNZZwGAfwvFDv4hau5c\nlVIpEAqHrlmDGYkB9EHrrl17vvMOEd09der23r2s4wDAv4JiB/8v48SJlMOHiajbm29iihMA\n/eG5bJmprS0RnX7//ZqKCtZxAOD5odjBX+pqa6OCg4lIYm7uuWwZ6zgAoD4SqdTz00+JqCwr\n6+KKFazjAMDzQ7GDv8SvW/fg+nUiGhgSwn92BwD90W3GDNsBA4goduXKoqQk1nEA4Dmh2AER\nUUVOzp9LlxKRlVze+913WccBAHUTCIXD1q4VCIWq6urTH3zAOg4APCcUOyAiOjlnjrK4mIiG\nrlkjkkhYxwEABmz69u0WEEBEKYcPp0ZGso4DAM8DxQ4oOSIiad8+Iurs79/R25t1HABgZtBn\nnxlZWRHRqblza6uqWMcBgGeGYqfvqktLT/z3v0Rk1KrVy998wzoOALBk0qaNx9KlRFScnPxH\nSAjrOADwzFDs9N2Zjz4qv3ePiIasWmXSrh3rOADAWM/Zs9t7ehLRpdWr7//5J+s4APBsUOz0\nWvaFC1c3bSIihyFDus2YwToOALAnEApf+fFHAyMjrq7uWGBgrULBOhEAPAMUO/2lqq7+beZM\nrq7OwNj4lR9+wDoTAMBr1anTgIULiajg5k1MawegXVDs9NeF5csLbtwgoheXLLF0cWEdBwA0\nSL8PP2zn7k5EFz/7LC8+nnUcAHhaKHZ6qvDWrZgvviCiNj169AkOZh0HADSL0MBg5E8/CcXi\nutra3wIC6mpqWCcCgKeCYqeP+EdnVEqlQCTi/+xmnQgANE6bHj36zp9PRHlXrlxavZp1HAB4\nKih2+ijum2/u/fEHEfUJDubvtgAAPO7FkBBrNzci+nPJksLbt1nHAYCmodjpnfxr184sWEBE\nVnL5i6GhrOMAgOYSGRq+8tNPAqGwVqE4FhjI1dWxTgQATUCx0y+1VVWRr72mUiqFBgbe27aJ\nTUxYJwIAjWY3cCC/fvS9c+cur1nDOg4ANAHFTr+c+fDDB4mJRDQwJMR2wADWcQBAC3h++qmV\nXE5EZxcsyL18mXUcAGgMip0eST92LG79eiJq7+Ex4OOPWccBAO0gNjX1+fVXkUSiqq4+NHly\ndVkZ60QA8EQodvqiMj//6IwZxHFiM7NRW7YIRCLWiQBAa9j06VO/huypd99lHQcAngjFTj9w\n3LGZMytycoho+LffYjpiAHhWfefPdxw+nIiub9lyc8cO1nEAoGEodnrhyrffphw6RESuEyZ0\nmTqVdRwA0D4CodDnl19MbWyI6PdZs4qSklgnAoAGoNjpvoKbN6Pnzycic3v7Ed9/zzoOAGgr\nk7ZtR27eTAJBTXl55Ouvq6qrWScCgEcZsA4ALaumouKQv39NZaVAJPLZscPIyurQoUPZ2dms\n8iQkJKhUKlavDgD/ktPIke5z517++uucS5f+CAkZ/PnnrBMBwD+g2Om4Y4GBDxISiKj/Rx/Z\nDx5MRK+99pqZmZkJoxnsioqKFAoFk5cGgGYxeMWKrOjo3Li42JUrHb28HL28WCcCgP+HYqfL\nLn311a1du4jI0cvL4+9FJjiO+/HHH318fJhECg0NXbJkCZOXBoBmITI0HL1z5zZ3d/6G7NTY\nWKlMxjoUAPwFz9jprLunTp356CMisujQYfSuXZjfBACai5Wr6/CNG4moMi8v3Ne3prKSdSIA\n+AuKnW4qy8w8PHlyXW2tgZHRmH37jK2tWScCAJ3SZdo097lziSgvPv7o9OnEcawTAQARip1O\nqlUoIvz8KvPzichr48Z27u6sEwGADhqyapXTqFFElBQWdvGLL1jHAQAiFDuddDIoKCc2loh6\nv/tutzffZB0HAHSTQCTy+eUXfsLzc598knL4MOtEAIBip3OubNyY8NNPRGT34osvrVzJOg4A\n6DKjVq3GHTwokUq5urrI1157kJjIOhGAvkOx0yl3T52KCg4mIrP27ceGhYkkEtaJAEDHWbu5\njdqyhQSC6rKyg35+ypIS1okA9BqKne7Iv3o1fNw4VXW1yNBw7L59/Mo/AAAtTT5u3IshIURU\nePt25GuvcZiEHIAdFDsdUZqREebtXV1aKhAKvbdtsx0wgHUiANAjLy5eLB83johSjxw5Pns2\nBskCsIJipwsUhYVho0aV379PREO++qrTpEmsEwGAnhEIRm3d2rZnTyK69v335xYtYh0IQE+h\n2Gm92qqqA2PHFty8SUR9583jZ5YCAFAzibn5hN9/b9WpExFdWL780urVrBMB6CMUO+3G1dUd\nmTbt3rlzRNTZ338wppICAHZM2rTxO3LE1NaWiE7Pm3d9yxbWiQD0DoqddosKDk4KCyMihyFD\nRm3dKhDiDQUAliw6dpx47JiRlRVx3O//+U/a0aOsEwHoF/QALfZnaGjc2rVE1OaFF3zDw0WG\nhqwTAQBQ6+7dfcPDDYyM6mpqDk6cmH3hAutEAHoExU5b/Rka+ueSJUQklcn8jhwxtLBgnQgA\n4C/2gweP3rVLIBLVVFTsHz0aExcDqA2KnVb6Y/FivtWZtW8/8cQJs/btWScCAPgHl7FjR2za\nRAJBVUHBnpdfzr92jXUiAL2AYqd9zi1adH7pUiIyt7effPq0lVzOOhEAQAO6z5z50pdfElFl\nXt7uoUNzLl1inQhA96HYaZk/QkIufPopEZk7OPhHRfHLbwMAaKa+8+YN//ZbgVCoKCzc6+V1\n/88/WScC0HEodtrk3KJF55ctI7Q6ANAePWbNGv7ddwKhUFlSsnfEiLsnT7JOBKDLUOy0BMdF\nz5/PX6uTOjpOjo62dHZmnQkA4Km88NZbIzdv5sdSHBgzJv3331knAtBZKHZaQKVURk6bFrtq\nFRFZdOjgf/q0hZMT61AAAM+g6/TpPjt2CMXimsrKA2PGpBw6xDoRgG5CsdN0iqKifSNH3tyx\ng4haderkf/q0RYcOrEMBADyzzv7+Y/bsEUkkKqUyYvz4Kxs3sk4EoINQ7DRaSXr6Tk/PzNOn\niai9p+eUP/6QOjqyDgUA8JxcfH19w8PFJiZ1tbUn/vvfU++9x6lUrEMB6BQUO82Vf+3aTk/P\nghs3iMjVz2/i778bW1uzDgUA8K84jRr12p9/mjs4EFHc2rVhPj7KkhLWoQB0B4qdhko/dmyn\np2f5vXtE1Pvdd1/ds8fA2Jh1KACAZtCmR4/XL1xo5+5Of/9ZV5qRwToUgI5AsdM8HHdxxYow\nH5/qsjKBSOS1cePL33wjEOKdAgDdYWZnN/n0aedXXyWiB9ev7xgwIDsmhnUoAF2AuqBZFIWF\n+1999ezHH3MqldjU1Dc8vOc777AOBQDQ/MRmZr4HDrgHBxNRRU7O7iFDEn7+mXUoAK2HYqdB\nsmNitvXunRoZSURWcvlrf/zhPHo061AAAC1FIBINXb16+HffCQ0Maquqjs2cGTl1anVZGetc\nAFoMxU5TxK9fv2vQIP5BE1c/v2mXLrXp0YN1KACAFtfj7bcnHj9uZmdHRDd37Nju7p4XH886\nFIC2QrFjr7qs7JC//8k5c1TV1SKJ5OU1a8bs2yeRSlnnAgBQE4chQ6ZfueI0ciQRFd25s2Pg\nwLh164jjWOcC0D4odozdPXVqa48et/fsISKpTDY5Orr3e++xDgUAoG4mbdr4HTky+IsvhGKx\nSqk89e674ePHK4qKWOcC0DIodsxUl5Udf+edPV5eJWlpROQ0atS0uDjbAQNY5wIAYEQg6Pe/\n/005c4ZfXyc5PHxz165JYWGsYwFoEwPWAfRUxvHjx956i3+iTmxmNvjzz3vNnk0CAetcAKDL\n0tPT09PTJ02axCqAUCj88ssvZTJZI8fYDhgwPT7+WGBgUlhYRXb2wQkT5OPGDVu/nn8IDwAa\nh2KnbtWlpafnzbv244/84yOyl19+5ccfLZycWOcCAN2XlZVVUlLSsWNHVgFWr149bdq0xosd\nERlaWo7Zt+/GL79EBQdXPXhw58CBu1FRL3355QuBgfgADNA4FDu1UhYXb3N3L0lNJSKJuflL\nX37Z4+238ecUAKiNtbX1559/zurV169f//QHd5k6tcMrr0QFB9/csUNZXPz7f/5zc8eOET/8\nYCWXt1xCAG2HZ+zUquzePb7VOQ4fPiMhocesWWh1AABPYtKmjc8vv4yPjJTKZESUGR29pXv3\n0/PmYVAFwJOg2KlV665dfcPDx+zbN/HYMamjI+s4AABaoKO395uJib3nzBEIhSql8tJXX/3o\n4nJ5zRpVdTXraAAaB8VO3VzGjnX188OFOgCApyc2M3t57drXL160HzyYiBSFhVHBwZu7dLm9\ndy+muwN4mPY9Y8dxXFpaWmpqallZGRFZWFjI5XIHBwfWuQAAoGXZ9OkzOTo6OSLizIcfFt6+\nXZyScmjSpMsDB3osXero5cU6HYBG0KZiV1RUtHz58u3bt+fl5T2ySyaTBQYGzps3z9jYmEk2\nAABQD5exYzt6e1/74Yc/lyypzM+/f/783uHDbfr27b9ggcvYsQIh7kSBXtOaYpedne3h4ZGW\nliaXy729vR0dHU1NTYmotLQ0JSUlOjo6JCQkLCwsKirKysqKdVgAAGhAXV3dlStXDA0Nm+F7\nubq6/Phj7q5d+eHhdVVVObGxEePHGzk6tvX3txo6VGDQ8N9uNjY23bp1a4ZXB9BUWlPsFi1a\nlJWVtWfPnokTJz6+V6VSbdq0KSgoKDQ0dM2aNeqPBwAATVIoFAsXLmze72lC5EnkQWRCpMjI\nuPvll1e//PIs0SWiqscOtrCwKC4ubt4AABpFay5ZR0ZGTps2rcFWR0QikWj27NmTJk3av3+/\nmoMBAMBT4jhu8eLFXLOq4LhjHLegrGzIV1/xq1NYEY0h+szY+OiMGffPn68/MjIysqamhvXP\nAKBlaU2xKygocHZ2bvwYNze33Nxc9eQBAADNITYz6/P++2+lpo74/nsrV1ciqq2qur5ly46B\nA7f27Hnl22+rS0uTkpIqKysFTH300Uesf1Sg47TmVqydnd3Vq1cbPyY+Pt4OiwkCAOgrkaHh\nC2+99UJgYMbJk1c3bUqOiKirqcm/evXE7NnR8+crnJy6En195IhALGYSb+XKlbj6AC1Na4qd\nr6/v2rVr+/btO2fOnMcfvK2oqPjyyy8jIiI+/PBDJvEAAEBTCASOXl6OXl4VOTkJP/+c8MMP\nJenpNRUVBtevzyC6NWWKi69v58mTHb28hE8YY9FCQkNDf//99+HDh6vzRR8mFAo3bNjg4uLC\nKgCogdYUuyVLlpw9e3b+/PlLly7t16+fg4ODmZkZx3Hl5eUZGRkxMTGVlZWDBg1q9sdyAQBA\nS5na2Az4+OP+H32U9ttvN3fsuLFvn6C6WllSkrh1a+LWrcatWzu/+qrTqFEdhg83tLRUQ56c\nnBylUunFbsq9kJCQ27dvo9jpNq0pdpaWlufPn9+wYcO2bdtOnz6tUqnqd4nFYnd394CAgICA\nAJFIxDAkAABoGoFQ2NHbu6O39yUnp/3Lly8dPz7tyJFahaLqwYPrmzdf37xZaGDQ3sPDydu7\n46hRrbt3b9EwVlZWDO8sLVu2jNVLg9poTbEjIolEEhwcHBwcrFAoMjMz+ZUnpFKpTCaTSCSs\n0wEAgGYTi68RjQ0Lqy4tTY6ISNq/P+PEiZry8rra2szo6Mzo6DMffmhmZ2f/0kv2gwbZDx7c\nuksXLP8IWkebih2P47j79+9nZGTULylmaGiIJcUAAOApSf/k3xoAABS/SURBVKTSLtOmdZk2\nTaVUZp09m3rkSNqRI4W3bxNR+f37t3buvLVzJxEZt27d3tPTYfBgm7592/bqJTY1ZR0coGna\nVOywpBgAADQjkaEhP8xi6OrVJampqUeO3I2KunfuXGVeHhFVPXiQHB6eHB5ORAKRyLpz53Z9\n+rRzd7fp06fNCy+g54Fm0ppihyXFAACg5Vh07NgrKKhXUBARFdy8mXXmTNbZs1nR0WVZWUTE\nqVQPEhMfJCYmbt1KRCQQWHToYN2lS+uuXa27drXu0sXazQ1VDzSB1hQ7LCkGAADqYe3mZu3m\n1uPtt4mo9O7d3MuXcy5dyr18OffSpaqCAiIijitJSytJS0uNjKz/XWZ2dpbOzn/94+Ji0bGj\nVCYztbFh9V8B+klrit3TLCl25syZ/fv3a3ixW7ly5XfffccwQFVVVXp6OsMAAABaRCqTSWUy\n+bhx/Jcl6em5ly8/uH69IDHxQWJi0Z07dX8vU1Z+/375/ftZZ88+/NtFhobm9vbm9vbmMlm/\ngoJKA4OksDDTdu1M2rY1s7MTm5mp879FpVKdO3eusrJSnS/6MDs7Ow8PD1avrie0ptg95ZJi\nBw4cUE+e53bjxg2ZTDZ79mxWASZNmpSfn8/q1QEAtJpFhw4WHTq4+vnxX9bV1BQmJRUkJhYl\nJRWnpBSnpBQlJ1dkZ9cfr1Iq+e1E1IuIiA5OmFC/V2xiYtK2rUnbtkbW1sbW1kbW1satWvH/\nllhYGFlaSiwsDC0sDC0sJObm/z68Uqlcs2YNq4fRa2pqBAJBaWkpk1fXH1pT7HRpSbEOHTo8\n6dIjAABoEaFY3Lpr19Zduz68saaysiQlpTg1tfTu3bLMzLKsrLLMzLLMzOK7d4Uc9+iR6ekl\nT3cXxdDCQmxqamBiwvc8sYmJ2NRUbGoqlEgMLSyEYrGhVCoUiyVmZgKhUGJhQURGlpYkEIhN\nTESGhkRkzXFz/vOf94KDDS0s+O9Zv0sNjhw5MmHChKKiIvW8XIOkUqnOz3erNcUOS4oBAIBW\nEJuYtO7e/fG5jl3lcmOV6kR4ePn9+5V5eZW5ueXZ2VX5+VUFBYqCgqqCgqoHD5QlJU/6tsqS\nkkb2Po0PiWjt2h/Wrm1wr0QqFf5deoRi8SO3icXGxiIjo0d+i4GxscFjG+sJRCJDqbT+y9u3\nb0+oqnqvVavGQ9YRKRo/4l/o9NJLy0+fbrFvrxEE3D8/PWis4uLiYcOGxcXFmZubN7Kk2JEj\nR8ye5ZGFtLS0/v3719bWNnJMbW1tWVlZdXW1uDnWjQ4MDNy+fbspu8FTRUVFxsbGRk/+X7FF\nKRSKqqoqhiOXS0pKiMji70+r6oefP+Hnj58/fv5PJiQyrqsz5Dj+HyOOM/r71xIiMccZcZyY\n48QcJ+E4CZGQ44w4TkhkqCV/mzM3PT6+bc+erFO0IK0pdkRUXV3NLymWkJDQXEuK1dXVnTlz\npvFix3FcXl7e66+//py5/yk7OzsxMbFZvtXzSU1NlclkBupd+rpebW3t3bt3O3bsyOTViaiw\nsJCIWjX1kbHl4OdP+Pnj54+ff8vgamrqlEqutrauqoo4TlVRQUSq8nKO47ja2jqFIjc311oq\nFdTWEhG/hf+NqooKrq7ur2+iVNYPByGiOoWCe+hLIuJUqrqqqgYD8K/VSMLq6mqJRFJXWVn/\nci3hr59AQ1r37Dn52DGxiUnLvTpz2lTs6mFJMQAAAIDHaWWxAwAAAIDHCVkHAAAAAIDmoTvF\nLiUlxcvLy8vLi3UQAAAAADa0ZrqTJpWVlZ08eZJ1CgAAAABmdKfYde7cOSEhgXUKAAAAAGYw\neAIAAABAR2jfFTuO49LS0lJTU/npTiwsLORyuYODA+tcAAAAAIxpU7ErKipavnz59u3b8/Ly\nHtklk8kCAwPnzZvHam1jAAAAAOa05lZsdna2h4dHWlqaXC738PBwdHTkV+UqLS1NSUmJjo6+\nf/9+jx49oqKiGC4XAwAAAMCQ1lyxW7RoUVZW1p49eyZOnPj4XpVKtWnTpqCgoNDQ0DVr1qg/\nHgAAAABzWnPFztbW1tvb+6effmrkmMmTJ//55593795VWyoAAAAAzaE1ExQXFBQ4Ozs3foyb\nm1tubq568gAAAABoGq0pdnZ2dlevXm38mPj4eDs7O/XkAQAAANA0WlPsfH199+7du2rVKqVS\n+fjeioqKxYsXR0RE+Pv7qz8bAAAAgCbQmmfsiouLhw0bFhcXZ25u3q9fPwcHBzMzM47jysvL\nMzIyYmJiKisrBw0adOTIETMzM9ZhAQAAABjQmmJHRNXV1Rs2bNi2bVtCQoJKparfLhaL3d3d\nAwICAgICRCIRw4QAAAAADGlTsaunUCgyMzP5lSekUqlMJpNIJKxDAQAAADCmlcUOAAAAAB6n\nNYMnAAAAAKBxKHYAAAAAOkJrlhSD5iKRSGpqalinAAAABrZs2fLGG2+wTgEtCMVO74jF4pUr\nV3p6erIOAgycO3duwYIFZ8+eZR0E2AgNDSWixYsXsw4CbAwaNMja2pp1CmhZKHZ6RyAQuLi4\nuLu7sw4CDOTk5AiFQrz7eov/Sx0ngN4SCoUCgYB1CmhZeMYOAAAAQEeg2AEAAADoCBQ7AAAA\nAB2BYgcAAACgI1DsAAAAAHQEih0AAACAjkCxAwAAANARKHYAAAAAOgLFDgAAAEBHYOUJvSOR\nSCQSCesUwAbefT2Hd1/P4U8AfSDgOI51BlCr9PR0mUwmFOJirT6qq6u7e/duhw4dWAcBNoqK\niojIysqKdRBgA3/+6wMUOwAAAAAdgdoOAAAAoCNQ7AAAAAB0BIodAAAAgI5AsQMAAADQESh2\nAAAAADoCxQ4AAABAR6DYAQAAAOgIFDsAAAAAHYFiBwAAAKAjUOwAAAAAdASKHQAAAICOQLED\nAAAA0BEodgAAAAA6AsUOAAAAQEeg2AEAAADoCBQ7nVVUVDRv3jxHR0dDQ0MnJydfX98LFy48\nfEBxcfHcuXM7dOggkUjs7OwCAwOzs7NZpYWW8/777wsEgsDAwIc34t3XeUePHn3ppZfMzc0t\nLS1ffvnl06dPP7wXJ4Buu3Xr1rRp02xtbcVicZs2bcaNGxcTE/PwATgBdJiA4zjWGaD5FRYW\nuru7p6en+/j49O7dOzU1dffu3QYGBjExMd27dyei6urqgQMHxsXF+fn59e7dOyUlZfv27fb2\n9pcvX7aysmIdH5rNpUuXBgwYoFKpZs6c+eOPP/Ib8e7rvM2bNwcEBDg7O0+ZMkWhUGzdurWk\npCQqKurFF18knAC6LjExceDAgWKxOCgoyMXFJSMjY8OGDQ8ePDh27NjLL79MOAF0Hge66L//\n/S8RrVu3rn5LWFgYEXl7e/Nfrl69moi++OKL+gN2795NRB988IG6s0KLqamp6dmzZ48ePYho\n5syZ9dvx7uu23NxcMzOzXr16lZeX81vu3LljZmY2e/Zs/kucALrttddeI6JTp07Vb7l69SoR\nDRkyhP8SJ4BuQ7HTTXPnzh02bFh1dXX9lrq6OmNjY0dHR/7Lnj17mpubKxSKh3+Xi4tL27Zt\n6+rq1BkVWs7nn38uEAiOHj36SLHDu6/bVq5cSUS//fbbwxsffmdxAui2/v37E9HDf/5zHCeV\nSjt06MD/GieAbsMzdrrp66+/PnHihFgsrt9SXV1dW1trb29PRAqFIiEhoV+/foaGhg//Lk9P\nz7y8vLS0NHXHhRaQkpISGho6a9asAQMGPLwd777OO3HihLGxMX/TTalUlpaWEpFAIOD34gTQ\neZ07dyai27dv12958OBBeXm5m5sb4QTQAyh2+mLTpk01NTWTJ08moszMTJVK5eDg8Mgxjo6O\nRJSamsogHzS3t99+29LScsWKFY9sx7uv827duuXk5HT9+nVPT09jY2MLCwsXF5ctW7bwe3EC\n6LwPP/zQyspq6tSp586dy8nJiY+Pnzx5spGR0eLFiwkngB5AsdML0dHR8+fP9/T0nDVrFhGV\nlZURkamp6SOHmZmZ1e8FrbZly5aTJ0+uW7fOwsLikV1493VeYWFhRUWFj4/PgAED9u7d+803\n39TU1Lz55pu//vor4QTQA25ubufPn6+pqRk0aJCtrW3v3r3v3Llz4sQJ/hYtTgCdZ8A6ALS4\nnTt3vvnmm926dYuIiDAw+P93vP7WTD2O4xrcDtolLy/vgw8+GD16tJ+f35OOwbuvw6qrqzMy\nMrZu3Tp9+nR+y8SJE11dXT/44AN/f39+C04AHXbz5k0fH5/a2tqvvvrK1dU1Ly9v9erVo0aN\n2rdvn5eXF38MTgAdhmKnyziOW7JkydKlS0eOHLlnzx5zc3N+u1QqpYY+mfHP4tQfBlrqvffe\nq66u3rBhQ4N78e7rPDMzs9ra2gkTJtRvsbW1HTVq1N69e2/cuIETQOcFBATk5uYmJSW1b9+e\n3zJ58mRXV9cZM2akpaXhBNB5uBWrsziOCwwMXLp06Zw5cw4fPvzw/64ymczAwCAjI+OR35KS\nkkJEcrlcrUGhWR09enTXrl3BwcFCoTArKysrK+v+/ftEVFlZmZWVVVpaindf53Xo0IGIHh47\nRURt2rQhorKyMpwAuq28vPzixYv9+/evb3VEZGJiMmzYsHv37iUlJeEE0HkodjorODj4559/\n/uyzz9auXSsSiR7eJZFI3N3dY2JiKisr6zfW1dVFR0c7ODjIZDK1h4Vmc/LkSSJatmyZw9+6\ndu1KRDt37nRwcPjss8/w7uu8gQMHqlSquLi4hzcmJycTkYODA04A3VZVVcVxnEKheGQ7v0Wh\nUOAE0Hkodrpp//7933zzzXvvvbdgwYIGD5g5c2ZlZSU/3xXv+++/v3///iMLT4HWmTlz5qF/\n2rVrFxGNGDHi0KFDM2bMILz7um7GjBkCgeDjjz9WKpX8lkuXLp04ceKFF17gx0LiBNBhbdq0\ncXJyunTpUlJSUv3G4uLiEydOSKXSbt26EU4AXYclxXSTi4tLSkrKnDlzTExMHtnFj4RXqVRD\nhw49e/bs2LFje/fuffPmzd27d3fr1u3Chf9r725Cour3AI4fnzuagWKWplbSi5uIMivFEEKJ\nFhEkCrUJ2oRF6iKCVi2iVi5aFInSwkVURNkigl6wjVgRN19AhKJFZFgwpqaGkkKlz0Ier7eg\nuguT+/fzWZ055++PwTmL78wczvz7xz/h/9ro6Gh6evrcnxTz6gfv5MmTFy9eLCgoqKysfP/+\n/fXr1799+9bS0lJWVhY5AUJ3586dAwcOpKenHz9+PC8vLx6PNzU19fb2NjQ01NTURE6A4C3c\nvZGZRz95xXt7e2fWjI2NnTp1au3atYmJiatXr66trf348eOCPmvmxcjISPTfvzwx7dUP3dTU\n1OXLl7du3ZqcnJyWlrZv37729va5C5wAYXv27FlFRUVmZmYsFktPT9+zZ8/9+/fnLnACBMwn\ndgAAgXCNHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBA\nIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0A\nQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQdAEAghB0AQCCEHQBAIIQd\nAEAghB3Ar8VisZ07dy7sBIBfEnYAAIEQdgAAgRB2AACBEHbAovPhw4fa2tq1a9cmJSVlZmZW\nVFR0dHTMXfDgwYMdO3YsXbp05cqVVVVVo6Oj301ob2+vrKzMyMhISkpat27d4cOH3759+z9N\nAJgPsYV+AgB/1ODgYHFx8ejo6PHjxzdv3vzu3bvGxsZdu3a1tLSUlpZGUfT06dPy8vKsrKwz\nZ85kZma2tbWVl5f/9dd/3gZ3dXWVlpYuX778xIkT2dnZb968aWhoePTo0cuXL1esWPE7EwDm\nyzTAYlJdXR2LxTo6Omb39PX1paamFhYWzjzcu3dvFEXt7e2zC2pqaqIoKi4unnnY2Ni4ffv2\n1tbW2QX19fVRFNXX1//mBIB54h0ksIhMT0/fvn07Pz9/zZo1/f9ITEwsKSnp7OwcHx+fmppq\na2vLy8srKiqa/aujR4/OHVJdXd3V1VVWVhZF0ZcvXyYnJzdt2hRF0cy3sb8zAWCe+CoWWEQG\nBgaGhoaGhoZycnJ+PNrX15eWljYxMbFhw4a5+zdu3PjdymvXrjU1NfX09My9eO7r169RFMXj\n8d+ZADAfhB2wiIyNjUVRVFBQUFdX9+PRVatWDQ4ORlGUnJw8d39ycnJCQsLsw9OnT9fV1RUW\nFl64cGH9+vVLlix58eJFVVXVzNHPnz//cgLAPBF2wCKSmpo6szFzGdyPxsfHoyianJz8buf0\n9PTM9uTk5MWLF3Nzc1tbW1NSUmZ2fvr0aXbx0qVLfz4BYP64xg5YRLKysjIyMl69evXd/Udm\nPqiLoig7OzspKam3t3fu0Z6entnt/v7+iYmJwsLC2aqLoqitrW12+5cTAOaPsAMWl4MHD05O\nTp4/f352z+DgYH5+/v79+6MoisViJSUlr1+/nntnu4aGhtntrKyshISEuXet6+7uvnr1avTP\np3S/nAAwf/519uzZhX4OAH9OUVFRc3PzvXv3+vr6RkdHHz58eOzYsYGBgUuXLuXl5UVRlJWV\ndePGjbt37w4PD3d3d9fV1Y2MjAwPD2dkZFRVVSUmJnZ2dj5+/Li/v398fLy5ubm2tvbKlSu3\nbt2Kx+M5OTkbNmxYs2bNTyYs9D8ACNoC324F4I+Lx+PV1dW5ubmxWGzZsmXl5eXPnz+fu+Dm\nzZtbtmyZ+V2KI0eOjIyM5Obmbtu2bebowMDAoUOHMjMz09LSdu/e/eTJk+np6XPnzqWkpGRn\nZ8fj8V9OAJgnCdOu5wUACIJr7AAAAiHsAAACIewAAAIh7AAAAiHsAAACIewAAAIh7AAAAiHs\nAAACIewAAAIh7AAAAiHsAAACIewAAAIh7AAAAiHsAAACIewAAAIh7AAAAiHsAAACIewAAAIh\n7AAAAiHsAAACIewAAAIh7AAAAiHsAAACIewAAAIh7AAAAiHsAAACIewAAAIh7AAAAiHsAAAC\nIewAAALxN/sLfnfRiFwxAAAAAElFTkSuQmCC",
            "text/plain": [
              "Plot with title “Histograma edad de los clientes”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CAzwwUQht6u7",
        "colab_type": "text"
      },
      "source": [
        "####Contrato por meses\n",
        "\n",
        "El contrato a meses es la duracion del actual o ultimo contrato de trabajo del cliente.\n",
        "\n",
        "La media y la mediana estan muy cercanas.\n",
        "El contrato por meses sigue una moda del tipo unimodal"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "powTxcWwRsoW",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "1f65c3d9-1651-4aae-af43-7ae3f2a404df"
      },
      "source": [
        "#Tendencia central y posicion\n",
        "paste('Media:', mean(contrato_meses))\n",
        "paste('Mediana:', median(contrato_meses))\n",
        "paste('Moda:', mfv(contrato_meses))\n",
        "print('Quantiles:')\n",
        "quantile(contrato_meses) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Media: 36.2720637027206\""
            ],
            "text/latex": "'Media: 36.2720637027206'",
            "text/markdown": "'Media: 36.2720637027206'",
            "text/html": [
              "'Media: 36.2720637027206'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Mediana: 36\""
            ],
            "text/latex": "'Mediana: 36'",
            "text/markdown": "'Mediana: 36'",
            "text/html": [
              "'Mediana: 36'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Moda: 52\""
            ],
            "text/latex": "'Moda: 52'",
            "text/markdown": "'Moda: 52'",
            "text/html": [
              "'Moda: 52'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[1] \"Quantiles:\"\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%  25%  50%  75% 100% \n",
              "   1   18   36   54   72 "
            ],
            "text/latex": "\\begin{description*}\n\\item[0\\textbackslash{}\\%] 1\n\\item[25\\textbackslash{}\\%] 18\n\\item[50\\textbackslash{}\\%] 36\n\\item[75\\textbackslash{}\\%] 54\n\\item[100\\textbackslash{}\\%] 72\n\\end{description*}\n",
            "text/markdown": "0%\n:   125%\n:   1850%\n:   3675%\n:   54100%\n:   72\n\n",
            "text/html": [
              "<style>\n",
              ".dl-inline {width: auto; margin:0; padding: 0}\n",
              ".dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n",
              ".dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n",
              ".dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n",
              "</style><dl class=dl-inline><dt>0%</dt><dd>1</dd><dt>25%</dt><dd>18</dd><dt>50%</dt><dd>36</dd><dt>75%</dt><dd>54</dd><dt>100%</dt><dd>72</dd></dl>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c3OLQNRfvbFN",
        "colab_type": "text"
      },
      "source": [
        "El contrato por meses va desde 1 hasta 72 meses con un rango intercuantilico de 36"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rBAyFVlNuYk_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "75ac2582-15b8-4455-a686-049b6e3aebf5"
      },
      "source": [
        "#Dispersion:\n",
        "paste('Rango de la contrato_meses', range(contrato_meses))\n",
        "paste('Rango intercuartilico de la contrato_meses', IQR(contrato_meses))\n",
        "paste('Varianza de la contrato_meses', var(contrato_meses))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango de la contrato_meses 1\"  \"Rango de la contrato_meses 72\""
            ],
            "text/latex": "\\begin{enumerate*}\n\\item 'Rango de la contrato\\_meses 1'\n\\item 'Rango de la contrato\\_meses 72'\n\\end{enumerate*}\n",
            "text/markdown": "1. 'Rango de la contrato_meses 1'\n2. 'Rango de la contrato_meses 72'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'Rango de la contrato_meses 1'</li><li>'Rango de la contrato_meses 72'</li></ol>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango intercuartilico de la contrato_meses 36\""
            ],
            "text/latex": "'Rango intercuartilico de la contrato\\_meses 36'",
            "text/markdown": "'Rango intercuartilico de la contrato_meses 36'",
            "text/html": [
              "'Rango intercuartilico de la contrato_meses 36'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Varianza de la contrato_meses 429.754283549923\""
            ],
            "text/latex": "'Varianza de la contrato\\_meses 429.754283549923'",
            "text/markdown": "'Varianza de la contrato_meses 429.754283549923'",
            "text/html": [
              "'Varianza de la contrato_meses 429.754283549923'"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zvfAkvgrvY9_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "0b20330c-414f-4e08-ee9f-5dceeb961cc9"
      },
      "source": [
        "paste('El contrato por meses de los clientes estan desviados de la media un: ', \n",
        "      sd(contrato_meses), 'de la muestra')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El contrato por meses de los clientes estan desviados de la media un:  20.7305157569686 de la muestra\""
            ],
            "text/latex": "'El contrato por meses de los clientes estan desviados de la media un:  20.7305157569686 de la muestra'",
            "text/markdown": "<span style=white-space:pre-wrap>'El contrato por meses de los clientes estan desviados de la media un:  20.7305157569686 de la muestra'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'El contrato por meses de los clientes estan desviados de la media un:  20.7305157569686 de la muestra'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZjaPyr3hvoL3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "24311fb1-95dd-4dc6-c5b4-a2cf0ff583ba"
      },
      "source": [
        "limiteSup<-mean(contrato_meses)+sd(contrato_meses)\n",
        "limiteInf<-mean(contrato_meses)-sd(contrato_meses)\n",
        "paste('El contrato por meses de los clientes que estan a una desviacion estandar de la media son:')\n",
        "paste('X-s: ', limiteInf)\n",
        "paste('X+s: ', limiteSup)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El contrato por meses de los clientes que estan a una desviacion estandar de la media son:\""
            ],
            "text/latex": "'El contrato por meses de los clientes que estan a una desviacion estandar de la media son:'",
            "text/markdown": "'El contrato por meses de los clientes que estan a una desviacion estandar de la media son:'",
            "text/html": [
              "'El contrato por meses de los clientes que estan a una desviacion estandar de la media son:'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X-s:  15.541547945752\""
            ],
            "text/latex": "'X-s:  15.541547945752'",
            "text/markdown": "<span style=white-space:pre-wrap>'X-s:  15.541547945752'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X-s:  15.541547945752'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X+s:  57.0025794596892\""
            ],
            "text/latex": "'X+s:  57.0025794596892'",
            "text/markdown": "<span style=white-space:pre-wrap>'X+s:  57.0025794596892'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X+s:  57.0025794596892'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rlUN57WVwEoM",
        "colab_type": "text"
      },
      "source": [
        "El coeficiende de variacion al ser un valor alto significa que hay dspersion de los datos respecto la media"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ijWRJkPrv5Aa",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "de3dee12-3171-4ffb-c213-f14def1d3149"
      },
      "source": [
        "cv <- sd(contrato_meses)/mean(contrato_meses)*100\n",
        "paste('El coeficiente de variacion es de: ', cv)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El coeficiente de variacion es de:  57.1528433751997\""
            ],
            "text/latex": "'El coeficiente de variacion es de:  57.1528433751997'",
            "text/markdown": "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  57.1528433751997'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  57.1528433751997'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N8WmrjnUwdM9",
        "colab_type": "text"
      },
      "source": [
        "La asimetria por ser cercana a cero significa que esta levemente inclinada a la derecha y la curtosis es negativa por ende es platicurtica"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-T203rCXwTtz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "1d82e959-a8b0-48cb-f6e6-9cda24f512be"
      },
      "source": [
        "paste('Asimetria: ', skew(contrato_meses))\n",
        "paste('Curtosis: ', kurtosi(contrato_meses))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Asimetria:  0.012156707701867\""
            ],
            "text/latex": "'Asimetria:  0.012156707701867'",
            "text/markdown": "<span style=white-space:pre-wrap>'Asimetria:  0.012156707701867'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Asimetria:  0.012156707701867'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Curtosis:  -1.21561298993624\""
            ],
            "text/latex": "'Curtosis:  -1.21561298993624'",
            "text/markdown": "<span style=white-space:pre-wrap>'Curtosis:  -1.21561298993624'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Curtosis:  -1.21561298993624'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XyWr8pyMwpGo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "80e77a25-29b4-4f04-c313-4f261f2ef018"
      },
      "source": [
        "hist(contrato_meses, freq = F, main = \"Histograma contrato por meses de los clientes\", xlab = \"contrato_meses\", ylab=\"Frecuencia relativa\", xlim=range(-10, 90), ylim=range(0, 0.02) )\n",
        "curve(dnorm(x,mean=mean(contrato_meses),sd=sd(contrato_meses)), col=\"darkred\",lwd=2, add=TRUE)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\n",
            "text/plain": [
              "Plot with title “Histograma contrato por meses de los clientes”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8phzOf6bywqf",
        "colab_type": "text"
      },
      "source": [
        "####Duracion segundos contacto cliente"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EFIpr_Cv00sZ",
        "colab_type": "text"
      },
      "source": [
        "La duracion en segundos del ultimo contacto con el cliente tiene una media y mediana alejada por presencia de datos atipicos, por ello vamos a tomar la media recortada al 20% para evitar los posibles datos atipicos, como se ve en el rango intercuantilico pasamos de tener 329  en el 75% a tener 3025 en el 100%. La media recortada ahora esta mas cercana a la mediana"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "svgOixfTw7Dv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "78cff834-5a01-4c16-d545-6c5f828b697e"
      },
      "source": [
        "#Tendencia central y posicion\n",
        "paste('Media:', mean(duracion_seg))\n",
        "paste('Mediana:', median(duracion_seg))\n",
        "paste('Moda:', mfv(duracion_seg))\n",
        "print('Quantiles:')\n",
        "quantile(duracion_seg) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Media: 263.961291749613\""
            ],
            "text/latex": "'Media: 263.961291749613'",
            "text/markdown": "'Media: 263.961291749613'",
            "text/html": [
              "'Media: 263.961291749613'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Mediana: 185\""
            ],
            "text/latex": "'Mediana: 185'",
            "text/markdown": "'Mediana: 185'",
            "text/html": [
              "'Mediana: 185'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Moda: 123\""
            ],
            "text/latex": "'Moda: 123'",
            "text/markdown": "'Moda: 123'",
            "text/html": [
              "'Moda: 123'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[1] \"Quantiles:\"\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%  25%  50%  75% 100% \n",
              "   4  104  185  329 3025 "
            ],
            "text/latex": "\\begin{description*}\n\\item[0\\textbackslash{}\\%] 4\n\\item[25\\textbackslash{}\\%] 104\n\\item[50\\textbackslash{}\\%] 185\n\\item[75\\textbackslash{}\\%] 329\n\\item[100\\textbackslash{}\\%] 3025\n\\end{description*}\n",
            "text/markdown": "0%\n:   425%\n:   10450%\n:   18575%\n:   329100%\n:   3025\n\n",
            "text/html": [
              "<style>\n",
              ".dl-inline {width: auto; margin:0; padding: 0}\n",
              ".dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n",
              ".dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n",
              ".dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n",
              "</style><dl class=dl-inline><dt>0%</dt><dd>4</dd><dt>25%</dt><dd>104</dd><dt>50%</dt><dd>185</dd><dt>75%</dt><dd>329</dd><dt>100%</dt><dd>3025</dd></dl>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wFrAM9fZywbs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "199929ae-6753-454a-f552-e2dae4d89390"
      },
      "source": [
        "paste('Media con media recortada al 20%: ', mean(duracion_seg, trim=0.2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Media con media recortada al 20%:  198.719498709915\""
            ],
            "text/latex": "'Media con media recortada al 20\\%:  198.719498709915'",
            "text/markdown": "<span style=white-space:pre-wrap>'Media con media recortada al 20%:  198.719498709915'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Media con media recortada al 20%:  198.719498709915'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a-RqvmM-16cm",
        "colab_type": "text"
      },
      "source": [
        "En el anterior punto se analizo la presencia de grandes datos atipicos, en el rango intercuantilico va desde 3 hasta 3025"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s4UzXIjT1QwJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "08409133-9e1b-40c4-d7b3-e2dc662206db"
      },
      "source": [
        "#Dispersion:\n",
        "paste('Rango de la duracion_seg', range(duracion_seg))\n",
        "paste('Rango intercuartilico de la duracion_seg', IQR(duracion_seg))\n",
        "paste('Varianza de la duracion_seg', var(duracion_seg))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango de la duracion_seg 4\"    \"Rango de la duracion_seg 3025\""
            ],
            "text/latex": "\\begin{enumerate*}\n\\item 'Rango de la duracion\\_seg 4'\n\\item 'Rango de la duracion\\_seg 3025'\n\\end{enumerate*}\n",
            "text/markdown": "1. 'Rango de la duracion_seg 4'\n2. 'Rango de la duracion_seg 3025'\n\n\n",
            "text/html": [
              "<style>\n",
              ".list-inline {list-style: none; margin:0; padding: 0}\n",
              ".list-inline>li {display: inline-block}\n",
              ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
              "</style>\n",
              "<ol class=list-inline><li>'Rango de la duracion_seg 4'</li><li>'Rango de la duracion_seg 3025'</li></ol>\n"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Rango intercuartilico de la duracion_seg 225\""
            ],
            "text/latex": "'Rango intercuartilico de la duracion\\_seg 225'",
            "text/markdown": "'Rango intercuartilico de la duracion_seg 225'",
            "text/html": [
              "'Rango intercuartilico de la duracion_seg 225'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Varianza de la duracion_seg 67525.469519039\""
            ],
            "text/latex": "'Varianza de la duracion\\_seg 67525.469519039'",
            "text/markdown": "'Varianza de la duracion_seg 67525.469519039'",
            "text/html": [
              "'Varianza de la duracion_seg 67525.469519039'"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kk_SnHH413gO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "94553768-4612-47c5-f31a-7456e2272f84"
      },
      "source": [
        "paste('El ultimo contacto con los clientes estan desviados de la media un: ', \n",
        "      sd(duracion_seg), 'de la muestra')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El ultimo contacto con los clientes estan desviados de la media un:  259.856632624682 de la muestra\""
            ],
            "text/latex": "'El ultimo contacto con los clientes estan desviados de la media un:  259.856632624682 de la muestra'",
            "text/markdown": "<span style=white-space:pre-wrap>'El ultimo contacto con los clientes estan desviados de la media un:  259.856632624682 de la muestra'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'El ultimo contacto con los clientes estan desviados de la media un:  259.856632624682 de la muestra'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tddRm8l8hnhf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66
        },
        "outputId": "2f4ab046-570d-4431-b507-ed80234e7b8a"
      },
      "source": [
        "limiteSup<-mean(duracion_seg)+sd(duracion_seg)\n",
        "limiteInf<-mean(duracion_seg)-sd(duracion_seg)\n",
        "paste('El ultimo contacto con los clientes que estan a una desviacion estandar de la media son:')\n",
        "paste('X-s: ', limiteInf)\n",
        "paste('X+s: ', limiteSup)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El ultimo contacto con los clientes que estan a una desviacion estandar de la media son:\""
            ],
            "text/latex": "'El ultimo contacto con los clientes que estan a una desviacion estandar de la media son:'",
            "text/markdown": "'El ultimo contacto con los clientes que estan a una desviacion estandar de la media son:'",
            "text/html": [
              "'El ultimo contacto con los clientes que estan a una desviacion estandar de la media son:'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X-s:  4.10465912493089\""
            ],
            "text/latex": "'X-s:  4.10465912493089'",
            "text/markdown": "<span style=white-space:pre-wrap>'X-s:  4.10465912493089'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X-s:  4.10465912493089'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"X+s:  523.817924374295\""
            ],
            "text/latex": "'X+s:  523.817924374295'",
            "text/markdown": "<span style=white-space:pre-wrap>'X+s:  523.817924374295'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'X+s:  523.817924374295'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3cMKDgSkhyg_",
        "colab_type": "text"
      },
      "source": [
        "El coeficiente de variacion de lo clientes al ser un valor alto signiifica que hay una alta dispersion de los datos respecto la media"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gSWNZdh8hsKK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        },
        "outputId": "a31aef96-4c1b-47ee-9c70-74a95dd4d6ad"
      },
      "source": [
        "cv <- sd(duracion_seg)/mean(duracion_seg)*100\n",
        "paste('El coeficiente de variacion es de: ', cv)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"El coeficiente de variacion es de:  98.44497687607\""
            ],
            "text/latex": "'El coeficiente de variacion es de:  98.44497687607'",
            "text/markdown": "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  98.44497687607'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'El coeficiente de variacion es de:  98.44497687607'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o9jEdTYEiARt",
        "colab_type": "text"
      },
      "source": [
        "La asimetria al ser positiva significa que la cola esta a la derecha con un nivel de cursosis leptocurtico"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fyoeWUhDh10G",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "b1e9b9c8-177f-472c-a5c0-b1843aa79744"
      },
      "source": [
        "paste('Asimetria: ', skew(duracion_seg))\n",
        "paste('Curtosis: ', kurtosi(duracion_seg))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Asimetria:  2.77058029362506\""
            ],
            "text/latex": "'Asimetria:  2.77058029362506'",
            "text/markdown": "<span style=white-space:pre-wrap>'Asimetria:  2.77058029362506'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Asimetria:  2.77058029362506'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "[1] \"Curtosis:  12.5080068641227\""
            ],
            "text/latex": "'Curtosis:  12.5080068641227'",
            "text/markdown": "<span style=white-space:pre-wrap>'Curtosis:  12.5080068641227'</span>",
            "text/html": [
              "<span style=white-space:pre-wrap>'Curtosis:  12.5080068641227'</span>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BKx8Qc2NiA0U",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "959ba020-abaf-40c4-94c2-dd761155c27d"
      },
      "source": [
        "hist(duracion_seg, freq = F, main = \"Histograma contrato por meses de los clientes\", xlab = \"duracion_seg\", ylab=\"Frecuencia relativa\")\n",
        "curve(dnorm(x,mean=mean(duracion_seg),sd=sd(duracion_seg)), col=\"darkred\",lwd=2, add=TRUE)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\ndgAAACpBsQMAAFCJ/w9PFQyx3eOvvgAAAABJRU5ErkJggg==",
            "text/plain": [
              "Plot with title “Histograma contrato por meses de los clientes”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5vMQoH6fjOZx",
        "colab_type": "text"
      },
      "source": [
        "###Analisis varias varibles\n",
        "\n",
        "En esta sesion vamos a comparar graficos las siguientes variables y hacer su respectivo analisis:\n",
        "1. Edad vs aceptacion tarjeta de credito\n",
        "2. Medio de contacto vs contrato meses\n",
        "3. Contador camapaña actual vs aceptacion tarjeta credito\n",
        "4. Medio de contacto vs Dia\n",
        "5. Dia vs aceptacion TC\n",
        "6. Nivel educativo vs contrato meses\n",
        "7. Estado civil vs contrato meses"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rphMim2Yk1gS",
        "colab_type": "text"
      },
      "source": [
        "####1. Edad vs aceptacion tarjeta de credito\n",
        "\n",
        "Segun la grafica comparando si las personas aceptaron o no una tarjeta de credito segun las edades se puede concluir que tiene una asimetria positiva en ambos casos significando que las personas mas joven sean el publico objetivo para los bancos, no obstante son muchas mas las personas que rechazan que las que aceptan la tarjeta.\n",
        "En personas de edad mayor (vease la cola) se puede ver que el banco son las que menos acuden"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t2jnCEYRiY-X",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "0b4a20a4-cb63-4051-d443-d65d85982aac"
      },
      "source": [
        "par(mfrow=c(2,1))\n",
        "hist(edad[aceptacion_TC==\"si\"], main=\"Edad en la que acepta tarjeta credito\", xlab=\"edad\", ylab=\"\")\n",
        "hist(edad[aceptacion_TC==\"no\"], main=\"Edad en la que no acepta tarjeta credito\", xlab=\"edad\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nAgQQEiCAkAABhAQIICRAwP8H63/3zseDBOgAAAAASUVORK5CYII=",
            "text/plain": [
              "Plot with title “Edad en la que no acepta tarjeta credito”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fic_1-comxDv",
        "colab_type": "text"
      },
      "source": [
        "####2. Medio de contacto vs contrato meses\n",
        "\n",
        "Por las graficas se puede ver que se comporta de manera casi uniforme excepto por la cola los ultimos meses.\n",
        "Se puede ver que la mayoria de los clientes fueron por celular siendo el canal mas efectivo seguido por el chat. Para cuando son una gran cantidad de meses se  puede ver que hay una menor cantidad de clientes."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a0QjwddKlUlo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "a25f8a2f-128d-4445-e164-052e56f94cdb"
      },
      "source": [
        "par(mfrow=c(3,1))\n",
        "hist(contrato_meses[medio_contacto==\"celular\"], main=\"Tiempo de contrato por canal de adquisicion (Celular)\", xlab=\"meses\", ylab=\"\")\n",
        "hist(contrato_meses[medio_contacto==\"chat\"], main=\"Tiempo de contrato por canal de adquisicion (Chat)\", xlab=\"meses\", ylab=\"\")\n",
        "hist(contrato_meses[medio_contacto==\"telefono\"], main=\"Tiempo de contrato por canal de adquisicion (Telefono)\", xlab=\"meses\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nAAAASUVORK5CYII=",
            "text/plain": [
              "Plot with title “Tiempo de contrato por canal de adquisicion (Telefono)”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gN4HN39BpY8P",
        "colab_type": "text"
      },
      "source": [
        "####3. Contador campaña actual vs aceptacion tarjeta credito\n",
        "\n",
        "Segun los histogramas se puede ver que los datos siguen una alta asimetria positiva mostrando que la mayoria de veces en que se tiene una respuesta son en las primeras iteraciones."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a2ZdBG60nMoB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "6c1f32be-9cda-4f48-a33b-688b1987147e"
      },
      "source": [
        "par(mfrow=c(2,1))\n",
        "hist(cont_campana_actual[aceptacion_TC==\"si\"], main=\"Numero de veces que se contacto al cliente y acepto la tarjeta de credito\", xlab=\"# contactos\", ylab=\"\")\n",
        "hist(cont_campana_actual[aceptacion_TC==\"no\"], main=\"Numero de veces que se contacto al cliente y no acepto la tarjeta de credito\", xlab=\"# contactos\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nCCAkQAAhAQL+P1hVpNCW1h0gAAAAAElFTkSuQmCC",
            "text/plain": [
              "Plot with title “Numero de veces que se contacto al cliente y no acepto la tarjeta de credito”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DB5Hq0eXrKxd",
        "colab_type": "text"
      },
      "source": [
        "####4. Medio de contacto vs dia\n",
        "\n",
        "Como se puede ver en las graficas las solicitudes de las tarjetas de credito al principio y a final de mes se comporta muy similar en el caso de el celular y chat como canal de adquisicion"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ese2qCwpunw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "88c9f49e-734b-4567-9f17-7f2043fc099e"
      },
      "source": [
        "par(mfrow=c(3,1))\n",
        "hist(dia[medio_contacto==\"celular\"], main=\"Dia en que se le solicito una tarjeta por celular\", xlab=\"Dia del mes\", ylab=\"\")\n",
        "hist(dia[medio_contacto==\"chat\"], main=\"Dia en que se le solicito una tarjeta por chat\", xlab=\"Dia del mes\", ylab=\"\")\n",
        "hist(dia[medio_contacto==\"telefono\"], main=\"Dia en que se le solicito una tarjeta telefono\", xlab=\"Dia del mes\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nfjYahymbPQwAAAAASUVORK5CYII=",
            "text/plain": [
              "Plot with title “Dia en que se le solicito una tarjeta telefono”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jFJNwgFMtYcn",
        "colab_type": "text"
      },
      "source": [
        "####5. Dia vs aceptacion\n",
        "\n",
        "Segun los dos histogramas los clientes que aceptan o rechazan la tarjeta mantiene un comportamiento similar"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j_SBEwtfrX9-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "bf4c7190-e746-4bb3-e383-75bb49ee7803"
      },
      "source": [
        "par(mfrow=c(2,1))\n",
        "hist(dia[aceptacion_TC==\"si\"], main=\"Dia en que se le solicito una tarjeta y acepto tarjeta de credito\", xlab=\"Dia del mes\", ylab=\"\")\n",
        "hist(dia[aceptacion_TC==\"no\"], main=\"Dia en que se le solicito una tarjeta y no acepto tarjeta de credito\", xlab=\"Dia del mes\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nQCQAGIBIADAAkQBgACIBwMD/BxrNQ1Qa6gvRAAAAAElFTkSuQmCC",
            "text/plain": [
              "Plot with title “Dia en que se le solicito una tarjeta y no acepto tarjeta de credito”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x6T2-xokxaJR",
        "colab_type": "text"
      },
      "source": [
        "####6. Nivel educativo vs contrato por meses\n",
        "\n",
        "Se puede ver que hay mas personas en contratos de bachilleratos y menos en tecnicos.\n",
        "En todos los niveles educativos se ve que hay una menor cantidad de contratos para una cantidad de meses larga, de resto se comporta de manera casi uniforme."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eLLLnmJovBIf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "b1d612c5-af80-4004-87a9-c278a4b59455"
      },
      "source": [
        "par(mfrow=c(2,2))\n",
        "hist(contrato_meses[nivel_educativo==\"primaria\"], main=\"contrato por meses primaria\", xlab=\"contrato meses\", ylab=\"\")\n",
        "hist(contrato_meses[nivel_educativo==\"bachillerato\"], main=\"contrato por meses bachillerato\", xlab=\"contrato meses\", ylab=\"\")\n",
        "hist(contrato_meses[nivel_educativo==\"universitario\"], main=\"contrato por meses universitario\", xlab=\"contrato meses\", ylab=\"\")\n",
        "hist(contrato_meses[nivel_educativo==\"técnico\"], main=\"contrato por meses tecnico\", xlab=\"contrato meses\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC/VBMVEUAAAABAQECAgIDAwME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\nSAAQAJEAIAAiAUAARAKAgP8PX1mVbVLIH8oAAAAASUVORK5CYII=",
            "text/plain": [
              "Plot with title “contrato por meses tecnico”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8MVL-85i0_OM",
        "colab_type": "text"
      },
      "source": [
        "####7. Estado civil vs contrato meses\n",
        "\n",
        "Bonus: Segun este grafico las personas solteras, casadas o divorciadas mantienen un contrato con un comportamiento muy similar, pero las muestras para las personas casadas son grandes mientras que las de las personas divorsiadas son aproximadamente 1/4"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BUJ_27FPyyWo",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "outputId": "1a37952d-0002-4bbf-8e49-97ebed526f98"
      },
      "source": [
        "par(mfrow=c(2,2))\n",
        "hist(contrato_meses[est_civil==\"casado\"], main=\"contrato por meses casado\", xlab=\"contrato meses\", ylab=\"\")\n",
        "hist(contrato_meses[est_civil==\"soltero\"], main=\"contrato por meses soltero\", xlab=\"contrato meses\", ylab=\"\")\n",
        "hist(contrato_meses[est_civil==\"divorciado\"], main=\"contrato por meses divorciado\", xlab=\"contrato meses\", ylab=\"\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC91BMVEUAAAABAQECAgIDAwME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\nEPD/Aec/oaRrKjcGAAAAAElFTkSuQmCC",
            "text/plain": [
              "Plot with title “contrato por meses divorciado”"
            ]
          },
          "metadata": {
            "tags": [],
            "image/png": {
              "width": 420,
              "height": 420
            },
            "text/plain": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9f682Z_6EBMu",
        "colab_type": "text"
      },
      "source": [
        "##Analisis variables cualitativas\n",
        "\n",
        "Las variables cualitativas son:\n",
        "\n",
        " * ocupación          \n",
        " * est_civil          \n",
        " * nivel_educativo    \n",
        " * Cred_hipotecario  \n",
        " * Cred_personal     \n",
        " * Medio_contacto     \n",
        " * Mes                \n",
        " * aceptacion_TC \n",
        "\n",
        "Las variables a analizar individualmente son:\n",
        "\n",
        " * ocupación          \n",
        " * est_civil          \n",
        " * nivel_educativo\n",
        " * Cred_hipotecario    \n",
        " * aceptacion_TC "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s8nmSPf6Jg8o",
        "colab_type": "text"
      },
      "source": [
        "###Analisis por cada variable"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ps4OiY7BJrER",
        "colab_type": "text"
      },
      "source": [
        "####Ocupacion\n",
        "\n",
        "Por ocupacion, la mayor proporcion de clientes esta dada por administradores, empresarios y profesores"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NA0sj2wh1nvt",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "4f060753-2465-4fa9-ed82-8a514a22ef93"
      },
      "source": [
        "tabla_ocupacion <- table(ocupacion)\n",
        "tabla_ocupacion"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "ocupacion\n",
              "  administrador amadiciembreasa     desconocido     desempleado     emprendedor \n",
              "            969             112              38             128             168 \n",
              "     empresario      estudiante   independiente        informal      pensionado \n",
              "            768              84             661             946             230 \n",
              "       profesor \n",
              "            417 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YSZllefrJ-pj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 141
        },
        "outputId": "09b5c856-ef5c-4dbe-ef21-52ec9b837c60"
      },
      "source": [
        "prop.table(tabla_ocupacion)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "ocupacion\n",
              "  administrador amadiciembreasa     desconocido     desempleado     emprendedor \n",
              "     0.21433311      0.02477328      0.00840522      0.02831232      0.03715992 \n",
              "     empresario      estudiante   independiente        informal      pensionado \n",
              "     0.16987392      0.01857996      0.14620659      0.20924574      0.05087370 \n",
              "       profesor \n",
              "     0.09223623 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hCn2026qSW3d",
        "colab_type": "text"
      },
      "source": [
        "####Estado civil\n",
        "\n",
        "Por estado civil la mayor proporcion de clientes esta dada por personas casadas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "huLDg8V5KFBi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "fa08d708-9547-4861-c307-0507ee470d60"
      },
      "source": [
        "tabla_est_civil <- table(est_civil)\n",
        "tabla_est_civil"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "est_civil\n",
              "    casado divorciado    soltero \n",
              "      2797        528       1196 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ucld20evR9xl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "3095e1d1-f6e4-4f80-a2fc-122fc278680b"
      },
      "source": [
        "prop.table(tabla_est_civil)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "est_civil\n",
              "    casado divorciado    soltero \n",
              " 0.6186684  0.1167883  0.2645432 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CpGwwMMDTFpn",
        "colab_type": "text"
      },
      "source": [
        "####Nivel educativo\n",
        "\n",
        "Para el nivel educativo la mayor proporcion de personas esta dada por personas de bachilleres y universitarios"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1pk98tw8SlVd",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "c2a7f349-ea56-4cf9-f383-b7de843201d0"
      },
      "source": [
        "tabla_nivel_educativo <- table(nivel_educativo)\n",
        "tabla_nivel_educativo"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "nivel_educativo\n",
              " bachillerato      primaria       técnico universitario \n",
              "         2306           678           187          1350 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CVSUwYcCTL-4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "535b0c33-683a-44ee-e957-de92038178fe"
      },
      "source": [
        "prop.table(tabla_nivel_educativo)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "nivel_educativo\n",
              " bachillerato      primaria       técnico universitario \n",
              "   0.51006415    0.14996682    0.04136253    0.29860650 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vs3yo1TjTgew",
        "colab_type": "text"
      },
      "source": [
        "####Credito hipotecario\n",
        "\n",
        "El 56.60% de los clientes tiene un credito hipotecario vigente con el banco"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t5v_Hs-5TPMg",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "332b5fbb-0824-448c-ee0e-f5f582e21f8f"
      },
      "source": [
        "tabla_cred_hipotecario <- table(cred_hipotecario)\n",
        "tabla_cred_hipotecario"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "cred_hipotecario\n",
              "  no   si \n",
              "1962 2559 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uDXL7y5wT9x6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "174e4ebe-773c-4de7-aeab-4a03e1bd8959"
      },
      "source": [
        "prop.table(tabla_cred_hipotecario)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "cred_hipotecario\n",
              "       no        si \n",
              "0.4339748 0.5660252 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zu7CnKm4UWtR",
        "colab_type": "text"
      },
      "source": [
        "####Aceptacion tarjeta de credito\n",
        "\n",
        "El 88.476% de los clientes no aceptaron la tarjeta de credito"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MR6S9SoBUBw4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "76fc4c1b-d4c7-4a8f-9a0a-152224445fe5"
      },
      "source": [
        "tabla_aceptacion_TC <- table(aceptacion_TC)\n",
        "tabla_aceptacion_TC"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "aceptacion_TC\n",
              "  no   si \n",
              "4000  521 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EY2wBcQ7UdjF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "outputId": "0fbc09de-d48c-4d87-c0db-9c0cebbdc240"
      },
      "source": [
        "prop.table(tabla_aceptacion_TC)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "aceptacion_TC\n",
              "     no      si \n",
              "0.88476 0.11524 "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fSfQUKIqUfs8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}