Proyecto_Final_Flores.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Xukay101/curso-data-science/blob/main/proyecto_final/Proyecto_Final_Flores.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CXD4axTp0TOa"
      },
      "source": [
        "# **1. Proyecto Final: Análisis de datos del conjunto de datos \"Telco Customer Churn\"**\n",
        "\n",
        "--- \n",
        "\n",
        "## Descripción\n",
        "\n",
        "Este proyecto tiene como objetivo realizar un análisis de datos del conjunto \"Telco Customer Churn\". En él se explorará el conjunto de datos para analizar los factores que influyen en la tasa de abandono de los clientes de una empresa de telecomunicaciones.\n",
        "\n",
        "La tasa de abandono de clientes (o churn rate, en inglés) es una métrica importante para cualquier empresa de servicios, ya que el costo de adquirir un nuevo cliente suele ser mayor que el de retener a uno existente. Por lo tanto, identificar los factores que influyen en la tasa de abandono de los clientes puede ayudar a la empresa a implementar estrategias efectivas para retener a sus clientes actuales y atraer a nuevos.\n",
        "\n",
        "---\n",
        "\n",
        "## Audiencia\n",
        "\n",
        "Este proyecto está dirigido a cualquier persona interesada en aprender técnicas de análisis de datos y modelado predictivo. También podría ser útil para gerentes de empresas de servicios interesados en identificar los factores que influyen en la tasa de abandono de los clientes.\n",
        "\n",
        "---\n",
        "\n",
        "## Preguntas/Problema que buscamos resolver\n",
        "\n",
        "El objetivo principal de este proyecto es desarrollar un modelo predictivo para identificar los clientes que tienen más probabilidades de abandonar la empresa de telecomunicaciones. Algunas preguntas específicas que buscamos responder son:\n",
        "\n",
        "- ¿Cuáles son los factores que influyen en la tasa de abandono de los clientes?\n",
        "- ¿Hay alguna relación entre la duración del contrato y la tasa de abandono?\n",
        "- ¿Cómo afecta el tipo de servicio contratado a la tasa de abandono?\n",
        "- ¿Qué tan precisos son los modelos de predicción para identificar a los clientes con mayor probabilidad de abandonar?\n",
        "\n",
        "Para responder a estas preguntas, se realizará un análisis exploratorio de datos, se creará un modelo predictivo utilizando técnicas de aprendizaje automático y se evaluará su precisión. Además, se utilizarán técnicas de optimización de hiperparámetros para mejorar la precisión del modelo. Finalmente, se seleccionará el mejor modelo y se presentarán recomendaciones para reducir la tasa de abandono de los clientes. \n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "Autor: Jose Zacarías Flores\n",
        "\n",
        "Contacto: zaca03zaca@gmail.com"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "heNwjrO0-HOs"
      },
      "source": [
        "# **2. Importación de datos y librerias**\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "gWo8sSSS-i39"
      },
      "outputs": [],
      "source": [
        "# Imports de bibliotecas para manipulación de datos y visualización\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Imports de bibliotecas para modelado y aprendizaje automático\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.preprocessing import MinMaxScaler\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.linear_model import LogisticRegressionCV\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from sklearn.model_selection import KFold, cross_val_score\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.metrics import confusion_matrix, f1_score, precision_recall_curve, roc_curve, auc"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "8ynwWDhe9e4R",
        "outputId": "e1987907-72b8-40af-edfd-9ae85321e968"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   customerID  gender  SeniorCitizen Partner Dependents  tenure PhoneService  \\\n",
              "0  7590-VHVEG  Female              0     Yes         No       1           No   \n",
              "1  5575-GNVDE    Male              0      No         No      34          Yes   \n",
              "2  3668-QPYBK    Male              0      No         No       2          Yes   \n",
              "3  7795-CFOCW    Male              0      No         No      45           No   \n",
              "4  9237-HQITU  Female              0      No         No       2          Yes   \n",
              "\n",
              "      MultipleLines InternetService OnlineSecurity  ... DeviceProtection  \\\n",
              "0  No phone service             DSL             No  ...               No   \n",
              "1                No             DSL            Yes  ...              Yes   \n",
              "2                No             DSL            Yes  ...               No   \n",
              "3  No phone service             DSL            Yes  ...              Yes   \n",
              "4                No     Fiber optic             No  ...               No   \n",
              "\n",
              "  TechSupport StreamingTV StreamingMovies        Contract PaperlessBilling  \\\n",
              "0          No          No              No  Month-to-month              Yes   \n",
              "1          No          No              No        One year               No   \n",
              "2          No          No              No  Month-to-month              Yes   \n",
              "3         Yes          No              No        One year               No   \n",
              "4          No          No              No  Month-to-month              Yes   \n",
              "\n",
              "               PaymentMethod MonthlyCharges  TotalCharges Churn  \n",
              "0           Electronic check          29.85         29.85    No  \n",
              "1               Mailed check          56.95        1889.5    No  \n",
              "2               Mailed check          53.85        108.15   Yes  \n",
              "3  Bank transfer (automatic)          42.30       1840.75    No  \n",
              "4           Electronic check          70.70        151.65   Yes  \n",
              "\n",
              "[5 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-377bfd48-c9c5-4d17-96a3-c118222b6188\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>customerID</th>\n",
              "      <th>gender</th>\n",
              "      <th>SeniorCitizen</th>\n",
              "      <th>Partner</th>\n",
              "      <th>Dependents</th>\n",
              "      <th>tenure</th>\n",
              "      <th>PhoneService</th>\n",
              "      <th>MultipleLines</th>\n",
              "      <th>InternetService</th>\n",
              "      <th>OnlineSecurity</th>\n",
              "      <th>...</th>\n",
              "      <th>DeviceProtection</th>\n",
              "      <th>TechSupport</th>\n",
              "      <th>StreamingTV</th>\n",
              "      <th>StreamingMovies</th>\n",
              "      <th>Contract</th>\n",
              "      <th>PaperlessBilling</th>\n",
              "      <th>PaymentMethod</th>\n",
              "      <th>MonthlyCharges</th>\n",
              "      <th>TotalCharges</th>\n",
              "      <th>Churn</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7590-VHVEG</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>1</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>29.85</td>\n",
              "      <td>29.85</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5575-GNVDE</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>34</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>56.95</td>\n",
              "      <td>1889.5</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3668-QPYBK</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Mailed check</td>\n",
              "      <td>53.85</td>\n",
              "      <td>108.15</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>7795-CFOCW</td>\n",
              "      <td>Male</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>45</td>\n",
              "      <td>No</td>\n",
              "      <td>No phone service</td>\n",
              "      <td>DSL</td>\n",
              "      <td>Yes</td>\n",
              "      <td>...</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>One year</td>\n",
              "      <td>No</td>\n",
              "      <td>Bank transfer (automatic)</td>\n",
              "      <td>42.30</td>\n",
              "      <td>1840.75</td>\n",
              "      <td>No</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9237-HQITU</td>\n",
              "      <td>Female</td>\n",
              "      <td>0</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>2</td>\n",
              "      <td>Yes</td>\n",
              "      <td>No</td>\n",
              "      <td>Fiber optic</td>\n",
              "      <td>No</td>\n",
              "      <td>...</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>No</td>\n",
              "      <td>Month-to-month</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Electronic check</td>\n",
              "      <td>70.70</td>\n",
              "      <td>151.65</td>\n",
              "      <td>Yes</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-377bfd48-c9c5-4d17-96a3-c118222b6188')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-377bfd48-c9c5-4d17-96a3-c118222b6188 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-377bfd48-c9c5-4d17-96a3-c118222b6188');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "# Importación de datos\n",
        "df = pd.read_csv('https://raw.githubusercontent.com/Xukay101/curso-data-science/main/proyecto_final/Telco-Customer-Churn.csv')\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "ACgY845G_xwn"
      },
      "outputs": [],
      "source": [
        "# Definición de colores y estilo\n",
        "sns.set_palette(\"pastel\")\n",
        "sns.set_style(\"whitegrid\")\n",
        "\n",
        "plt.style.use('ggplot')\n",
        "colors = ['#4C72B0', '#55A868', '#C44E52', '#8172B2', '#CCB974', '#64B5CD']\n",
        "plt.rcParams['axes.prop_cycle'] = plt.cycler(color=colors)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q4ZSj10y804T"
      },
      "source": [
        "# **3. Análisis Exploratorio de Datos (EDA)**\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WefgLx8ULH4b"
      },
      "source": [
        "Las variables del conjunto son las siguientes:\n",
        "\n",
        "- customerID: identificador único del cliente.\n",
        "\n",
        "- gender: género del cliente.\n",
        "\n",
        "- SeniorCitizen: indica si el cliente es un adulto mayor o no.\n",
        "\n",
        "- Partner: indica si el cliente tiene una pareja o no.\n",
        "\n",
        "- Dependents: indica si el cliente tiene dependientes o no.\n",
        "\n",
        "- tenure: indica la cantidad de meses que el cliente ha sido cliente de la empresa.\n",
        "\n",
        "- PhoneService: indica si el cliente tiene servicio telefónico o no.\n",
        "\n",
        "- MultipleLines: indica si el cliente tiene múltiples líneas o no.\n",
        "\n",
        "- InternetService: indica el tipo de servicio de Internet que tiene el cliente (DSL, Fiber optic, None).\n",
        "\n",
        "- OnlineSecurity: indica si el cliente tiene seguridad en línea o no.\n",
        "\n",
        "- OnlineBackup: indica si el cliente tiene backup en línea o no.\n",
        "\n",
        "- DeviceProtection: indica si el cliente tiene protección de dispositivo o no.\n",
        "\n",
        "- TechSupport: indica si el cliente tiene soporte técnico o no.\n",
        "\n",
        "- StreamingTV: indica si el cliente tiene servicio de transmisión de televisión o no.\n",
        "\n",
        "- StreamingMovies: indica si el cliente tiene servicio de transmisión de películas o no.\n",
        "\n",
        "- Contract: indica el tipo de contrato que tiene el cliente (Month-to-month, One year, Two year).\n",
        "\n",
        "- PaperlessBilling: indica si el cliente recibe facturas electrónicas o no.\n",
        "\n",
        "- PaymentMethod: indica el método de pago que utiliza el cliente (Electronic check, Mailed check, Bank transfer (automatic), Credit card (automatic)).\n",
        "\n",
        "- MonthlyCharges: indica la cantidad que el cliente paga cada mes.\n",
        "\n",
        "- TotalCharges: indica la cantidad total que el cliente ha pagado hasta la fecha.\n",
        "\n",
        "- Churn: indica si el cliente abandonó la empresa o no."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vb9pwAG409UP"
      },
      "source": [
        "## 3.1 Información general sobre el conjunto de datos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "upxlIcetIz_S",
        "outputId": "084f4624-994a-4967-c1e8-85e70cc57fd4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Filas, columnas:  (7043, 21)\n",
            "\n",
            "Nombres de las variables: \n",
            " Index(['customerID', 'gender', 'SeniorCitizen', 'Partner', 'Dependents',\n",
            "       'tenure', 'PhoneService', 'MultipleLines', 'InternetService',\n",
            "       'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport',\n",
            "       'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling',\n",
            "       'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn'],\n",
            "      dtype='object')\n",
            "\n",
            "Tipos de datos: \n",
            " customerID           object\n",
            "gender               object\n",
            "SeniorCitizen         int64\n",
            "Partner              object\n",
            "Dependents           object\n",
            "tenure                int64\n",
            "PhoneService         object\n",
            "MultipleLines        object\n",
            "InternetService      object\n",
            "OnlineSecurity       object\n",
            "OnlineBackup         object\n",
            "DeviceProtection     object\n",
            "TechSupport          object\n",
            "StreamingTV          object\n",
            "StreamingMovies      object\n",
            "Contract             object\n",
            "PaperlessBilling     object\n",
            "PaymentMethod        object\n",
            "MonthlyCharges      float64\n",
            "TotalCharges         object\n",
            "Churn                object\n",
            "dtype: object\n",
            "\n",
            "Valores faltantes: \n",
            " customerID          0\n",
            "gender              0\n",
            "SeniorCitizen       0\n",
            "Partner             0\n",
            "Dependents          0\n",
            "tenure              0\n",
            "PhoneService        0\n",
            "MultipleLines       0\n",
            "InternetService     0\n",
            "OnlineSecurity      0\n",
            "OnlineBackup        0\n",
            "DeviceProtection    0\n",
            "TechSupport         0\n",
            "StreamingTV         0\n",
            "StreamingMovies     0\n",
            "Contract            0\n",
            "PaperlessBilling    0\n",
            "PaymentMethod       0\n",
            "MonthlyCharges      0\n",
            "TotalCharges        0\n",
            "Churn               0\n",
            "dtype: int64\n",
            "\n",
            "Estadísticas descriptivas: \n",
            "        SeniorCitizen       tenure  MonthlyCharges\n",
            "count    7043.000000  7043.000000     7043.000000\n",
            "mean        0.162147    32.371149       64.761692\n",
            "std         0.368612    24.559481       30.090047\n",
            "min         0.000000     0.000000       18.250000\n",
            "25%         0.000000     9.000000       35.500000\n",
            "50%         0.000000    29.000000       70.350000\n",
            "75%         0.000000    55.000000       89.850000\n",
            "max         1.000000    72.000000      118.750000\n",
            "\n",
            "Frecuencia de valores únicos de customerID\n",
            "7590-VHVEG    1\n",
            "3791-LGQCY    1\n",
            "6008-NAIXK    1\n",
            "5956-YHHRX    1\n",
            "5365-LLFYV    1\n",
            "             ..\n",
            "9796-MVYXX    1\n",
            "2637-FKFSY    1\n",
            "1552-AAGRX    1\n",
            "4304-TSPVK    1\n",
            "3186-AJIEK    1\n",
            "Name: customerID, Length: 7043, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de gender\n",
            "Male      3555\n",
            "Female    3488\n",
            "Name: gender, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de Partner\n",
            "No     3641\n",
            "Yes    3402\n",
            "Name: Partner, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de Dependents\n",
            "No     4933\n",
            "Yes    2110\n",
            "Name: Dependents, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de PhoneService\n",
            "Yes    6361\n",
            "No      682\n",
            "Name: PhoneService, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de MultipleLines\n",
            "No                  3390\n",
            "Yes                 2971\n",
            "No phone service     682\n",
            "Name: MultipleLines, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de InternetService\n",
            "Fiber optic    3096\n",
            "DSL            2421\n",
            "No             1526\n",
            "Name: InternetService, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de OnlineSecurity\n",
            "No                     3498\n",
            "Yes                    2019\n",
            "No internet service    1526\n",
            "Name: OnlineSecurity, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de OnlineBackup\n",
            "No                     3088\n",
            "Yes                    2429\n",
            "No internet service    1526\n",
            "Name: OnlineBackup, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de DeviceProtection\n",
            "No                     3095\n",
            "Yes                    2422\n",
            "No internet service    1526\n",
            "Name: DeviceProtection, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de TechSupport\n",
            "No                     3473\n",
            "Yes                    2044\n",
            "No internet service    1526\n",
            "Name: TechSupport, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de StreamingTV\n",
            "No                     2810\n",
            "Yes                    2707\n",
            "No internet service    1526\n",
            "Name: StreamingTV, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de StreamingMovies\n",
            "No                     2785\n",
            "Yes                    2732\n",
            "No internet service    1526\n",
            "Name: StreamingMovies, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de Contract\n",
            "Month-to-month    3875\n",
            "Two year          1695\n",
            "One year          1473\n",
            "Name: Contract, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de PaperlessBilling\n",
            "Yes    4171\n",
            "No     2872\n",
            "Name: PaperlessBilling, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de PaymentMethod\n",
            "Electronic check             2365\n",
            "Mailed check                 1612\n",
            "Bank transfer (automatic)    1544\n",
            "Credit card (automatic)      1522\n",
            "Name: PaymentMethod, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de TotalCharges\n",
            "          11\n",
            "20.2      11\n",
            "19.75      9\n",
            "20.05      8\n",
            "19.9       8\n",
            "          ..\n",
            "6849.4     1\n",
            "692.35     1\n",
            "130.15     1\n",
            "3211.9     1\n",
            "6844.5     1\n",
            "Name: TotalCharges, Length: 6531, dtype: int64\n",
            "\n",
            "Frecuencia de valores únicos de Churn\n",
            "No     5174\n",
            "Yes    1869\n",
            "Name: Churn, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "# Tamaño del conjunto de datos\n",
        "print(\"Filas, columnas: \", df.shape)\n",
        "\n",
        "# Nombres de las variables\n",
        "print(\"\\nNombres de las variables: \\n\", df.columns)\n",
        "\n",
        "# Tipo de datos de cada variable\n",
        "print(\"\\nTipos de datos: \\n\", df.dtypes)\n",
        "\n",
        "# Verificar la presencia de valores faltantes\n",
        "print(\"\\nValores faltantes: \\n\", df.isnull().sum())\n",
        "\n",
        "# Estadísticas descriptivas de las variables numéricas\n",
        "print(\"\\nEstadísticas descriptivas: \\n\", df.describe(include=[np.number]))\n",
        "\n",
        "# Frecuencia de valores únicos en las variables categóricas\n",
        "for col in df.select_dtypes(include=['object']).columns:\n",
        "    print(\"\\nFrecuencia de valores únicos de\", col)\n",
        "    print(df[col].value_counts())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tXzWW-VFX_sI"
      },
      "source": [
        "## 3.2 Análisis de valores atípicos "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "sfQgVop6SXn1",
        "outputId": "0f4647a8-b3e0-4f30-ee2e-dae3cbd425c5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 3 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Definición de columnas numéricas\n",
        "df['TotalCharges'] = pd.to_numeric(df['TotalCharges'], errors='coerce')\n",
        "df['TotalCharges'] = df['TotalCharges'].astype(float)\n",
        "df['TotalCharges'] = df['TotalCharges'].fillna(df['TotalCharges'].mean())\n",
        "\n",
        "# Graficar boxplots\n",
        "fig, axs = plt.subplots(ncols=3, figsize=(15,6))\n",
        "fig.suptitle('Distribución de valores atípicos ', fontsize=20, y=1.0)\n",
        "sns.boxplot(x=df['tenure'], ax=axs[0], color='#F9D5E5')\n",
        "sns.boxplot(x=df['MonthlyCharges'], ax=axs[1], color='#FDD5B1')\n",
        "sns.boxplot(x=df['TotalCharges'], ax=axs[2], color='#E2F0CB')\n",
        "axs[0].set_title('Distribución de Tenure')\n",
        "axs[1].set_title('Distribución de MonthlyCharges')\n",
        "axs[2].set_title('Distribución de TotalCharges')\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fTwzzDcYYNZf"
      },
      "source": [
        "## 3.3 Distribución de variables categóricas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "OUrFvBE4ZB8l",
        "outputId": "959c07c2-76d5-4c03-9bb0-f8bd3fddfab4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x2160 with 18 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=6, ncols=3, figsize=(18, 30))\n",
        "fig.suptitle('Distribución de las variables categóricas', fontsize=20, y=1.0)\n",
        "\n",
        "# Variables categóricas\n",
        "cat_cols = ['gender', 'SeniorCitizen', 'Partner', 'Dependents','PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod', 'Churn']\n",
        "\n",
        "for i, col in enumerate(cat_cols):\n",
        "    row = i // 3\n",
        "    pos = i % 3\n",
        "    if row<6:\n",
        "        sns.countplot(x=col, data=df, ax=axs[row][pos], palette='pastel')\n",
        "        axs[row][pos].set_title(col, fontsize=14)\n",
        "    \n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nf1mjHoQgGe9"
      },
      "source": [
        "## 3.4 Relación entre las variables categóricas y la tasa de abandono"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "7TNVLMZUgGIE",
        "outputId": "e0348b16-7d1d-4b53-b5bd-89235dd91f20"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x1872 with 18 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "df_temp = df[['gender', 'SeniorCitizen', 'Partner', 'Dependents','PhoneService', 'MultipleLines', 'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies', 'Contract', 'PaperlessBilling', 'PaymentMethod', 'Churn']]\n",
        "\n",
        "fig, axs = plt.subplots(nrows=6, ncols=3, figsize=(18, 26))\n",
        "fig.suptitle('Relación entre variables categóricas y la tasa de abandono', fontsize=20, y=1.0)\n",
        "\n",
        "for i, col in enumerate(cat_cols):\n",
        "    row = i // 3\n",
        "    pos = i % 3\n",
        "    sns.countplot(x=col, hue='Churn', data=df_temp, ax=axs[row][pos], palette='pastel')\n",
        "    axs[row][pos].set_title(col, fontsize=14)\n",
        "    axs[row][pos].set_xlabel('')\n",
        "    axs[row][pos].set_ylabel('Count', fontsize=12)\n",
        "    axs[row][pos].legend(title='Churn', loc='upper right')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X7J81OvycNRG"
      },
      "source": [
        "## 3.5 Distribución de variables numéricas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "PHmblRJncMxe",
        "outputId": "d72259f2-2688-4967-eb97-8be7e79d7d7d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Media de tenure: 32.37114865824223\n",
            "Media de MonthlyCharges: 64.76169246059918\n",
            "Media de TotalCharges: 2283.3004408418656\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x432 with 3 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(18, 6))\n",
        "fig.suptitle('Distribución de las variables numéricas', fontsize=20, y=1.0)\n",
        "\n",
        "# Variables numéricas\n",
        "num_cols = ['tenure', 'MonthlyCharges', 'TotalCharges']\n",
        "\n",
        "for i, col in enumerate(num_cols):\n",
        "    sns.histplot(x=col, data=df, ax=axs[i], kde=True, color='#0072B2')\n",
        "    axs[i].set_title(col, fontsize=14)\n",
        "    print(f'Media de {col}: {df[col].mean()}')\n",
        "    \n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "P-KP3ouhkjJr",
        "outputId": "f7d1353d-2100-4ae0-dade-2f36c216cc44"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Correlación entre variables numéricas\n",
        "corr_matrix = df[num_cols].corr()\n",
        "\n",
        "sns.set(font_scale=1.2)\n",
        "sns.heatmap(corr_matrix, annot=True, cmap='Pastel2_r')\n",
        "plt.title('Matriz de correlación', fontsize=16)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uhx1_BfMilQh"
      },
      "source": [
        "## 3.6 Relación entre las variables numericas y la tasa de abandono"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "HU4fGKWciidY",
        "outputId": "b49626b5-6511-4164-9c70-9f9ed648f7d5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x432 with 3 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=1, ncols=3, figsize=(18, 6))\n",
        "fig.suptitle('Relación entre variables numéricas y tasa de abandono', fontsize=20)\n",
        "\n",
        "for i, col in enumerate(num_cols):\n",
        "    sns.boxplot(x='Churn', y=col, data=df, ax=axs[i], palette='pastel')\n",
        "    axs[i].set_title(col, fontsize=14)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SaeSagortQN6"
      },
      "source": [
        "## 3.7 Tasa de abandono"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Xlj-IbkytUGC",
        "outputId": "83c37538-7bd5-4a26-a766-d57cfca64bbf"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tasa de abandono: 26.54%\n"
          ]
        }
      ],
      "source": [
        "total_customers = df['customerID'].nunique()\n",
        "churned_customers = df[df['Churn'] == 'Yes']['customerID'].nunique()\n",
        "churn_rate = churned_customers / total_customers\n",
        "print('Tasa de abandono: {:.2%}'.format(churn_rate))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "458D8e2rm5tR"
      },
      "source": [
        "## 3.8 Análisis específicos para responder a las preguntas de investigación"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-nl5qRayqxXM"
      },
      "source": [
        "Luego de realizar un análisis exhaustivo de los datos, se pueden identificar varios factores que influyen en la tasa de abandono de los clientes. En primer lugar, la duración del contrato parece ser un factor clave, ya que los clientes con contratos más cortos tienen una tasa de abandono significativamente mayor que los clientes con contratos más largos. Otro factor importante es el tipo de servicio contratado, donde los clientes que contratan servicios de Internet de fibra óptica tienen una tasa de abandono más baja en comparación con los clientes que contratan servicios de DSL o sin conexión a Internet.\n",
        "\n",
        "También se puede observar que los clientes que tienen servicios de seguridad en línea como \"OnlineSecurity\" o \"DeviceProtection\" tienen una tasa de abandono más baja que los clientes que no tienen estos servicios. Además, los clientes que utilizan servicios de pago electrónicos como \"Electronic check\" tienen una tasa de abandono más baja que los clientes que utilizan otros métodos de pago."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ueGr7MGGnZsk"
      },
      "source": [
        "### Pregunta: ¿Hay alguna relación entre la duración del contrato y la tasa de abandono?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "2kZBeOuVmNad",
        "outputId": "f770a9f7-77eb-4b04-d4cc-3431e7fe05f8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7f54d71b1790>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_7e2ff\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >Contract</th>\n",
              "      <th id=\"T_7e2ff_level0_col0\" class=\"col_heading level0 col0\" >Month-to-month</th>\n",
              "      <th id=\"T_7e2ff_level0_col1\" class=\"col_heading level0 col1\" >One year</th>\n",
              "      <th id=\"T_7e2ff_level0_col2\" class=\"col_heading level0 col2\" >Two year</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >gender</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "      <th class=\"blank col2\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_7e2ff_level0_row0\" class=\"row_heading level0 row0\" >Female</th>\n",
              "      <td id=\"T_7e2ff_row0_col0\" class=\"data row0 col0\" >55.19%</td>\n",
              "      <td id=\"T_7e2ff_row0_col1\" class=\"data row0 col1\" >20.58%</td>\n",
              "      <td id=\"T_7e2ff_row0_col2\" class=\"data row0 col2\" >24.23%</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_7e2ff_level0_row1\" class=\"row_heading level0 row1\" >Male</th>\n",
              "      <td id=\"T_7e2ff_row1_col0\" class=\"data row1 col0\" >54.85%</td>\n",
              "      <td id=\"T_7e2ff_row1_col1\" class=\"data row1 col1\" >21.24%</td>\n",
              "      <td id=\"T_7e2ff_row1_col2\" class=\"data row1 col2\" >23.91%</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "# Tabla de contingencia de género y tipo de contrato\n",
        "pd.crosstab(index=df['gender'], columns=df['Contract'], normalize='index').style.format(\"{:.2%}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "yQ1yaZvAnpbP",
        "outputId": "771984dd-ee7e-4786-a707-53e92bda672b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 428.895x360 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdgAAAFqCAYAAAC520vnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAAsTAAALEwEAmpwYAABUaElEQVR4nO3deVxN+f8H8Fd70iIhZF9utEhKKVnKviVrlkqyDMIglH0YW3bKNvZ9aYhp8B0ztrGLYazZl+wUqWi95/eHX2dcFTe6Tlev5+Phofs5n3s+73POPfd9z+csHw1BEAQQERFRvtKUOgAiIqLvERMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKFLoEO3/+fDRu3BgvXryQOhRSsWPHjsHW1hanT5+WOhQiKoQ+m2B37twJS0tL8Z+NjQ2aNm2KefPmITU1Nc8Nnj59GpaWlir50nv48CEsLS2xc+fOHKefPHkSmzZtwrJly1CyZMl8bz+/nD59GmFhYZDL5ZLGYWlpibCwMElj+BQPDw+EhITkOO3ly5cIDg7GpEmT4OzsrPJYwsLCYGlpmef3fe4zK6W1a9di//79Kpl3WFgYTp48qZJ559XDhw8RFhaG2NhYqUPJEyn2z5CQEDRs2PCbtvkpX7rffStKH8EuXLgQ27Ztw/Lly+Hm5obly5dj1qxZqowtz0qVKoVt27ahcePG2abFx8cjJCQEc+bMQY0aNb59cHlw5swZhIeHS55gC7rw8HAMGjQoW7kgCAgODkaHDh3QuXNnCSL7Pqxfv15lCTY8PBynTp1Sybzz6tGjRwgPD1e7BEsFn7ayFWvWrImKFSsCAOrXr4/79+9jx44dGDduHDQ1C0ZPs66uLmrXrp3jtOLFi+PIkSPfNqBvID09Hdra2tDQ0JA6lE9KS0uDrq5uvs7Tysoqx3INDQ2sWrUqX9uiT1PF9iVSd1+cGa2srPDu3Tu8evVKLHv37h1mz54NDw8P2NjYwMPDA0uXLv3skdixY8fQr18/uLm5wc7ODm3btsXq1auRmZmZre727dvRoUMH1KpVC3Xr1oWPjw/++ecfALl3t+3evRuenp6wtbWFs7MzRo0ahefPnyvU8fDwwMiRI7Fnzx60atUKtWvXRseOHXH27Fml1kdMTAwGDBiAunXrolatWujWrVu292Z1r1y9ehU9evSAnZ0dmjdvji1btoh1wsLCEB4eDgCwtrYWu+Y/XL5NmzZh1qxZcHNzg62tLd68eQMA2L9/P7p27Qo7Ozs4Ojpi6NChePz48Wdjz8zMxPz588X17+vri5s3b2arFxISAg8Pj2zlvr6+8PX1FV9nnQbYv38/xo8fj3r16sHV1RUAcP/+fYwaNQoeHh6oVasWmjRpgkmTJiEhISHbfM+cOYPevXvDwcEBtWvXhqenJyIiIsTpOXURX7x4Ef7+/rC3t0ft2rXRq1cvXLx4MdtyfG47fErW+2xtbdGgQQMsXrwYOT1xNCMjA8uXL0fLli1hY2MDNzc3zJw584tOrQDvP2OBgYFwdnZGrVq10KJFCyxfvlycLggC1q5dixYtWojtTZkyBUlJSQrzsbS0xPz587F+/Xp4eHjA3t4ePj4+Ctvcw8MDjx49QlRUlPgZzFrXWd1yN27cQJ8+fWBvb48ff/wRgHL7ctbnedmyZeK8P+zqVGZ//djPP/8MV1dXpKenK5QnJSXB3t4ec+bMyfF9p0+fhp+fHwCgd+/eYjxZp7D27NkDPz8/1KtXD/b29vDy8kJkZGS2+axbtw6tWrUSv5c6duyIP//8U5yel++4jym7fwLKfQ/lJC/7JQD8888/6NSpE2xtbeHh4YENGzYoTI+Pj8fEiRPRokUL2NnZoVGjRggKCsKzZ88U6mV9lu7du4f+/fvD3t4e7u7uOfbgKbvfJSUlYcqUKXBzc4ONjQ1atGiBtWvXKtTN+o46cOAApkyZAmdnZzg7O2PkyJHi92le5pcbpY9gP/bo0SMYGRmhWLFiAN5/mfTp0we3b9/GwIEDYWlpiQsXLmDJkiVISEjI9VwZAMTGxsLFxQU+Pj7Q09PD5cuXERYWhvj4eIwcOVKsFxoaitWrV6Nz584YMmQINDU1ceHCBTx58iTXeW/btg0TJ05E69atERQUhOfPn2PevHm4ePEidu7ciaJFi4p1z507h7t37+LHH3+Enp4eFi5ciAEDBuDgwYMwNjbOtY0rV66gZ8+eqFmzJn7++WcUKVIEW7Zsgb+/P7Zu3QobGxuxblJSEoKCgtCrVy8EBgZi586d+Omnn1C5cmXUq1cPXbp0wdOnT/Hrr79i8+bN0NLSytbesmXLYGtri59//hmZmZnQ09PDli1b8NNPP6Fjx44IDAxEcnIywsLC4OPjg99++w2Ghoa5xh8WFobly5ejd+/eqF+/Pi5fvoyBAwfmWl9ZP//8Mxo2bIhZs2YhLS0NAPD8+XOUKVMGY8eOhYmJCWJjY7F8+XL0798f27ZtE9/7119/YejQoahTpw6mTJkCU1NT3Lx585M/GGJiYuDj44Nq1aphxowZ0NDQwC+//AIfHx9s375d4dTA57ZDbuLj49GrVy+UKFECoaGh0NXVxcqVK3P8DI4aNQqHDh1C3759UadOHdy+fRsLFy7Eo0eP8nzu7OLFi/D19UWFChUwZswYmJub4/79+7h+/bpYZ/78+Vi+fDl69uwJd3d3sb2YmBhs3LhRoacpKioKlStXxrhx45Ceno5Zs2Zh0KBB2LdvH7S1tREeHo7+/fvD0tISQ4YMAfC+F+hDgwYNQufOndG3b19x3srsy9u2bYO3tzc6duwIb29vAEDp0qXFacrurx/q3r07Nm7ciD///BOtW7cWy3///Xe8e/dObOdj1tbWmDhxIqZMmYLx48fD1tYWAFCtWjVxeVq0aIH+/ftDU1MT0dHRGD9+PFJSUtC9e3cAwG+//YbQ0FAMGjQIjo6OSE1NxfXr1/H69WuxHWW/43Ki7P6Zl++hjym7XwLv953hw4ejX79+qFChAvbu3YupU6eiaNGi6NixIwDg9evX0NXVxYgRI1C8eHE8f/4cq1evRvfu3bFv3z7o6ekpzHPw4MHo2LEj/P39cfDgQYSFhaFMmTLo1KkTAOX3O7lcjv79++Pq1asYOnQoZDIZDh8+jBkzZiA+Ph4jRoxQqD9t2jS4u7tj7ty5uHv3LmbPng0tLS2EhoZ+0fyyET5jx44dgkwmE27fvi2kp6cLr1+/FiIiIoSaNWsKGzZsEOtFRkYKMplMOHPmjML7lyxZIlhbWwsvX74UBEEQTp06JchkMuHUqVM5tieXy4X09HRhyZIlgqOjo5CZmSkIgiDcu3dPqFGjhjB9+vRcY42NjRVkMpmwY8cOQRAEISMjQ3BxcRF8fHwU6kVHRwsymUxYt26dWObu7i44OjoKr1+/FssuXrwoyGQy4bfffvvkOvLz8xNatmwppKamimUZGRlCy5YthYEDB4plwcHBgkwmE06ePCmWpaamCk5OTsL48ePFskWLFgkymUxIT0/Pcfm8vLwEuVwuliclJQl16tQRQkJCFOo/ePBAsLa2FtasWZNr7K9fvxZq164tTJgwQaF8+fLlgkwmExYtWqQQv7u7e7Z5+Pj4KKzjrG08aNCgXNvNkp6eLm6PK1euCILw/jPg7u4udOjQQdz+OXF3dxeCg4PF10OGDBEcHByEhIQEsSwxMVGoW7euEBgYqLAcymyHnMybN0+wtrYWHj9+LJYlJycLTk5OgkwmE8uylikyMlLh/bt37xZkMplw9epVQRCyf2Zz06NHD6Fhw4bC27dvc5z+6tUrwdraWmF9CIIg7Nq1S5DJZMJff/0llslkMqFZs2ZCWlqaWLZv3z5BJpMJ586dE8vc3d2FoKCgbG1lfT7Xrl37yZhz25ezYpg3b55C/bzsrznx8fER/Pz8FMq8vLyEgICAT74v6/N6/PjxT9bLzMwU0tPThXHjxgnt2rUTyydPnix4eXl98r0f+tR6+Vhe9k9lv4eUkdN+KQj/7Tu///67Qn1/f3+hcePGCt9LH8rIyBAeP34syGQyYf/+/WJ51mfp119/Vajftm1boXfv3uJrZfe7gwcP5rg/jR07VrC2thbi4uIEQfhvm48ePVqh3uTJkwUbGxtxOZSdX26U7iJu1aoVrK2t4eTkhHHjxsHb2xs+Pj7i9KNHj8LCwgL29vbIyMgQ/9WvXx/p6em4cOFCrvN+/vw5Jk6cCHd3d9jY2MDa2hoLFizAmzdvEBcXBwA4ceIE5HI5unbtqmzIuHv3LuLi4uDp6alQ7ujoCAsLC0RHRyuU165dGyYmJuLrrK6sTx0hp6SkIDo6Gi1btoSmpqa43IIgwNXVNVv3TJEiRRSOkHR1dVGpUiWlunKzNGnSROGc64ULF5CUlARPT0+FdV+mTBlUrlz5k11EN27cwNu3b9GqVSuF8jZt2igdT26aNWuWrSwtLQ3Lli1Dy5YtUatWLVhbW6Nnz54A3m8vALhz5w4ePXqELl265On8fnR0NBo3bqzQ22BoaAgPD49s2/pLt8P58+dhZ2eHMmXKiGUGBgbZus6PHj0KHR0dtGjRQmGbuLm5ibEq6927d/jnn3/Qrl07FClSJMc6//77L9LT07N91tu0aQNtbe1s7bm6ukJHR0d8LZPJAHz6s/6xnLavMvtybvK6v36se/fuOH36NO7duwfg/VH/1atX0a1bN6WX6WP37t3DiBEj0KBBA1hbW8Pa2hoRERHiZxUAbG1tce3aNfz88884ceIE3r17l20+X7pelN0/8/o99DFl9sssWlpaaN68uUJZ69at8fjxY4Uu4M2bN8PT0xP29vawsrISLz79eH4Asl2YWr16dYV9Udn9Ljo6Gpqammjbtq1CuaenZ455qFGjRgqvZTIZ0tLS8PLlyy+a38eU7iJevHgxzM3NER8fj7Vr12Lz5s2ws7ODl5cXgPeH8I8ePYK1tXWO7/+wu+RDcrkcAwcOxPPnzzFkyBBUqVIFenp6+Ouvv7Bs2TLxfFXW+7O6kpSR9Z6cbskpUaJEtpg+TK4AxIs2PnXOLCEhAZmZmViyZAmWLFmSYx25XC4mipy6mnV1dcUuVGWUKlVK4XXWDurv759j/Y+X60NZ9wOXKFFCofzj118ip/U+b948bNy4EYMGDYK9vT2KFi2KZ8+eYfDgwV+1rYH32yK3bf3xuaQv3Q4vXrxA9erVs5WbmZkpvI6Li0N6enquF93ltj/k5M2bN5DL5Z9cH7l91rW1tVGsWLFsy/8ln/WPfdyWsvtyXpcByHl//VizZs1QokQJbNu2DcHBwdi6dStKlSoFd3d3pZfpQ8nJyQgICIC+vj6CgoJQoUIF6OjoYMuWLdixY4dYz8vLC6mpqeJpHW1tbTRq1AghISEoV67cV60XZffPvH4PfUyZ/TKLsbGxwo+zD+N59uwZSpcujQ0bNmDq1Kno3bs33NzcYGxsDEEQ0LVr1xyXN6fP44f7orL7XUJCAkxMTLJdcJcV38f7QdYpzg/bBf7bD/I6v48pnWCrV68uXkXs4uKCdu3aYdasWWjevDkMDAxQrFgxlCtXDgsWLMjx/RYWFjmWP3jwAJcvX8asWbPQvn17sfzQoUMK9UxNTQG834BVqlRRKuaslZfTQyVevnyZ64+BvDAyMoKmpiZ69uypEP+H8vsq64+vGM5azpkzZ4rnjj6U23kr4L8vs5cvXyp8gLN+wX0otwT0+vXrbB/UnOIE3l800r59e4Xbaz6+XePDbZ0XJiYmOcb98uXLT/7IyIuSJUvmeMTxcVmxYsWgp6eHTZs25Tifj38kfYqxsTE0NTU/uT6y1v/H2zEjIwOvX7/Ot+X/0MfbV9l9OTdfu7/q6OigS5cu2Lx5M/r27Yu9e/eid+/e0Nb+sktNLly4gEePHmHTpk1wdHQUyzdu3KhQT0NDA926dUO3bt2QkJCA48ePY+bMmRg+fDgiIiK+ar0ou39+7feQMvtlljdv3iA9PV0hyWbFY25uLs7PxcVF4dqbr7kNStn9zsTEBAkJCdmuas+KL6/7wdfO74u++XV1dTF69GjExcVh8+bNAIAGDRrg6dOnMDAwgK2tbbZ/H18gkSUlJQUAFDZWeno6oqKiFOq5urpCU1MT27dvVzrOypUro0SJEti7d69C+T///INHjx7ByclJ6XnlxsDAAI6OjoiJiYG1tXWOy55XWRsya918Tp06dVC0aFHcv38/x/Y/9YPE0tISBgYG2Ldvn0L5nj17stW1sLBAXFwc4uPjxbIHDx7k2OWTm5SUlGxfeB9f9V25cmVYWFggIiJCqSv1stStWxd///23wlWzSUlJOHToUL5sawCwt7fHv//+q9CV+vbtWxw8eFChXoMGDZCamoqkpKQct0nWF5EyihQpAgcHB/z222+5fibs7Oygo6OTbbvt3bsXGRkZX7T8Ojo6eTqiVXZfzm3e+bG/duvWDYmJifjxxx+Rlpam1Cml3Pa3rK7eD5cnISEBBw4cyHVeJiYmaN26NVq1aiVe6ZuX9fIxZffPr/0eUma/zJKZmZnt/ui9e/eibNmy4uc6L/NThrL7nZOTE+RyOf73v/8plEdFRUFHRyfXHqXcfO38vvgq4iZNmsDW1hZr1qyBj48P2rVrh507d8Lf3x8BAQGoUaMG0tLSEBsbi4MHD2Lx4sU5nj+qUqUKLCwsMH/+fGhqakJbWxvr1q3LVq9ChQrw9/fHmjVrkJycDA8PD2hqauLSpUuoUqWKwpWDWbS0tDB06FBMnDgRI0eOhKenJ549e4YFCxagUqVK4hVqXyskJAQ+Pj7o06cPOnfujJIlS+LVq1e4evUqMjMzP3uV4MeqVq0KAFizZg0aNmwITU3NT+4ghoaGGD16NKZMmYL4+Hg0bNgQRkZGePbsGaKjo+Hk5IR27drl+F5jY2P06tULy5YtQ9GiReHm5oZLly7h119/zVa3ZcuWWLhwIUaNGgV/f3+8evUKv/zyS45Hr7lp0KABdu3aBZlMhooVK2L//v04f/68Qh0NDQ2MHTsWQ4YMgZ+fH7p37w5TU1PcuXMHcXFxGDp0aI7zHjRoEA4fPgx/f3/069cPGhoaWLFiBd69e4fAwEClY/yUXr16YfPmzQgICMCQIUPEqxn19fUV6jk7O6Nt27YYOnQo/P39UatWLWhqauLRo0c4cuQIRo4cicqVKyvd7ujRo+Hr6wtvb2/07t0bpUuXRmxsLGJiYjBhwgQUK1YMAQEBWL58OYoUKYJGjRrh9u3bWLBgARwcHHJ8+MrnVKtWDWfPnsWhQ4dQokQJmJqaoly5crnWV3Zfzpr34cOH0aBBAxgbG6NUqVIwNzf/6v3V3NwcHh4e+PPPP+Hu7q5wzi43lSpVgra2Nnbs2CF2B1auXBl16tSBoaEhJk+ejKFDh+Lt27dYunQpTE1NkZiYKL5/woQJKFq0KGrXrg0zMzPcu3cPu3fvRv369fO8Xj6Wl/3za76HlNkvsxQtWhSzZ8/Gq1evULFiRezZswcnTpzAzJkzxV6NBg0aYMWKFVi2bBlq1aqFU6dO4Y8//lBqmXOi7H7XsGFDODg4YNKkSYiPj0f16tVx5MgRRERE4Icffsj1QC83Xzu/L06wADBs2DD06dMHW7duhb+/P1atWoVffvkF27Ztw8OHD2FgYIDy5cujcePG2frss+jq6mLx4sWYMmUKgoODYWJigk6dOqFs2bIYP368Qt3g4GBUqFABmzdvRmRkJAwMDGBpaSl+kHPi7e0NfX19rFq1CoMGDULRokXRsGFDjBo1CgYGBl+z+CJra2v8+uuvCA8Px9SpU5GYmIjixYvDyspKvJQ/L9zd3dGjRw9s3rxZvNfrw9sxctKtWzeUKVMGK1euxO+//47MzEyYm5vDwcEBNWvW/OR7hwwZAkEQ8Ouvv2LTpk2ws7PDsmXLsl1IUbFiRSxatAgLFixAYGAgKlWqhJCQEIV7MT9n/PjxEARBPJXQsGFDzJ07F126dFGo17RpU6xevRpLlizBuHHjAADly5dHr169cp13jRo1sGHDBsyfPx8hISEQBAF2dnbYuHFjvj29q3jx4li7di2mTZuG4OBgFCtWDN26dUNmZiYWL16sUHf27NnYsGEDduzYgWXLlkFXVxcWFhZwc3PL8znuWrVqYcuWLVi0aBGmTp2KtLQ0lC1bVrwtAgCGDx+O4sWLY8uWLdiyZQuKFSsGLy8vBAUFfdFpihEjRmDChAkYNmwYUlJS0KFDB8ycOTPX+nnZlydMmIBp06ZhwIABSEtLw+DBgzFkyJB82V9btmyJP//8U+mLm0xNTTFhwgSsWLECvr6+yMzMxPr16+Hs7Izw8HCEhoZi6NChKFWqFPz8/JCQkCDeqw6870HauXMndu/ejcTERJQqVQqenp7iD8G8rJecKLt/fs33kLL7JfD+B/28efMwbdo03LhxAyVKlMC4cePQoUMHsU5gYCDevHmDtWvXIjU1FU5OTli5ciWaNm362eXNibL7naamJn755RfMmzcPK1euxOvXr2FhYYExY8Z88rsjN187Pw0hL31wREQFXFBQEM6fP4+//vqrwDxljgqnrzqCJSIqKC5cuIBr165h3759CAkJYXIlyfEIloi+C1kXBLVq1QpTpkz54quHifILEywREZEKsA+FiIhIBZhgiYiIVIAnKQqYuLgkyOXstSeiL1OypJHUIdD/4xEsERGRCjDB/r89e/agR48eqFOnjjiKzoeyRuWws7ND48aNsX79eoXpKSkpmDhxIpycnFCnTh0MGzYsTw90JyKi7wsT7P8zNjZGjx49MHbs2GzTkpKS0LdvX7i5ueHMmTNYsGABwsPDFZ5POX36dFy+fBlRUVE4dOgQ3r59i+Dg4G+5CEREVIAwwf6/Bg0aoG3btihfvny2afv374empiYGDRoEPT091K5dWxy1A3h/9Lpr1y78+OOPMDc3h4mJCYKDg3H48OE8jfNKRETfDyZYJcTExMDKykrhyTA2NjaIiYkB8H5Q5tTUVIUH8letWhVFihTBtWvXvnm8REQkPV5FrISkpCQYGSlemWdsbCwOi5b1/8d1jIyMFIZOU4aZmeFXREpERAUFE6wSDA0Nsw3s++bNGxgaGorTAYijV2RJTEwUpymLt+kQ0dfgbToFB7uIlVCjRg1cvXoVcrlcLLty5Yo4BFqlSpWgp6eHy5cvi9Nv376Nd+/e5dswaUREpF6YYP9fZmYmUlNTkZ6eDgBITU1Famoq5HI5mjdvjszMTCxduhRpaWm4ePEiIiIixDEW9fX14eXlhUWLFuH58+dISEjA7Nmz0ahRI1hYWEi5WEREJBE+7P//7dy5E2PGjMlWnjXw8tWrVzF58mRcu3YNpqam6NOnD/z8/MR6KSkpmDZtGv73v/8hMzMTDRo0wOTJk1GsWLE8xcEuYiL6GuwiLjiYYAsYJlgi+hpMsAUHu4iJiIhUgAmWiIhIBXibDhEVCMVMi0JHu2D95k/PkOP1q2SpwyA1xQRLRAWCjrYmfj3zQuowFHR2Kil1CKTGCtbPRSIiou8EEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpgLbUARAVZMVMi0JHu+D8Dk3PkOP1q2SpwyAiJTDBEn2CjrYmfj3zQuowRJ2dSkodAhEpqeD8NCciIvqOMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMHmwcuXLxEUFAQXFxc4OjqiW7duiI6OFqefOHECnp6esLOzQ4sWLbB3714JoyUiIikxwebB5MmT8fz5c+zZswenT59G8+bN0b9/f7x58wYPHz7EwIED4evri+joaISEhGDMmDH4999/pQ6biIgkwASbB/fv30fLli1RvHhxaGlpwdvbG2/fvsWDBw8QGRkJmUyGLl26QFdXF+7u7nB3d8fWrVulDpuIiCTABJsH/fr1w/79+/HixQukp6dj06ZNqFSpEmQyGWJiYmBjY6NQ38bGBjExMRJFS0REUtKWOgB1Ym9vj127dsHNzQ1aWlooVqwYFi9eDF1dXSQlJaFatWoK9Y2NjZGUlJSnNszMDPMzZPoOlSxpJHUIhQrXN30pJlglyeVy+Pv7w9nZGWfOnEHRokVx+PBh9OvXD5s2bYKhoSESExMV3vPmzRsYGuYtYcbFJUEuF/IzdPoKBfHL9cWLxM9XUkMFcV0D6re+C+p6LIzYRaykhIQExMbGws/PDyYmJtDW1kbTpk1Rvnx5HD9+HDVq1MDly5cV3nPlyhXUqFFDooiJiEhKTLBKMjU1RdWqVbFp0yYkJSVBLpfjwIEDuHnzJqytreHl5YXr169jx44dSE9Px5EjR3Do0CF069ZN6tCJiEgC310XcXJyMqKjo1GpUiVUqlQpX+e9ZMkSzJo1C82aNUNqaiosLCwwadIkODs7AwCWLl2KGTNmYPLkyShdujSmT58OOzu7fI2BiIjUg9on2KCgINjZ2cHPzw/p6eno2rUrbt++DW1tbYSFhcHd3T3f2qpUqRKWLFmS63RXV1dERUXlW3tERKS+1L6L+PTp06hTpw4A4NChQ0hOTsaxY8cwePDgTyZDIiIiVVL7BJuQkIASJUoAAI4fP45mzZqhRIkSaNu2LW7fvi1xdEREVFipfYItXrw4Hj58COD9s4CzzoempKRAU1PtF4+IiNSU2p+DbdmyJUaOHIlKlSohKSkJ9evXBwBcu3YNFStWlDg6IiIqrNQ+wY4aNQqlS5fG48ePERISgiJFigAAnj9/jq5du0ocHRERFVZqn2C1tbXRu3fvbOV9+vSRIBoiIqL3vouTlHfu3MGMGTMwYMAAvHjxAgBw4MABPmifiIgko/YJ9uzZs/Dy8kJMTAyOHTuGlJQUAMDt27exePFiiaMjIqLCSu0T7Lx58xAYGIh169ZBR0dHLK9Xrx4uXrwoYWRERFSYqX2CjYmJQevWrbOVm5mZIT4+XoKIiIiIvoMEq6enl22YOAC4d+8eihcvLkFERERE30GCbdSoEZYvXw65XC6WxcfHY8GCBfDw8JAwMiIiKszUPsGOGjUKt27dgoeHB9LS0hAYGIgmTZogJSUFw4YNkzo8IiIqpNT+PlgzMzPs3LkTe/bsweXLlyGXy+Hn5wdPT0/o6upKHR4RERVSap9go6OjYW9vj44dO6Jjx45ieUZGBqKjo1G3bl0JoyMiosJK7buI/fz8kJCQkK08MTERfn5+EkRERET0HSRYQRCgoaGRrTwpKQn6+voSRERERKTGXcRjxowBAGhoaGDq1KnQ09MTp8nlcly5cgU2NjZShUdERIWc2ibYp0+fAnh/BPv8+XOFpzjp6OjAyckpx0EAiIiIvgW1TbBr1qwB8P5Idty4cTA0NJQ4IiIiov+obYLNMmPGDKlDICIiykbtE6xcLkdkZCROnDiBuLg4hSc6AcD69eslioyIiAoztU+woaGh2LRpE1xcXGBhYZHjFcVERETfmton2N9//x1z5sxBy5YtpQ6FiIhIpPb3wWZkZMDKykrqMIiIiBSofYL19PTEH3/8IXUYRERECtS+i9jIyAgrV67E+fPnUbNmTYX7YQFgwIABEkVGRESFmdon2F27dqFo0aKIiYlBTEyMwjQNDQ0mWCIikoTaJ9iDBw9KHQIREVE2an8O9kOvXr2CIAhSh0FERKT+CTYzMxOLFi1C3bp1Ub9+fTx8+BAAMGfOHGzdulXi6IiIqLBS+wS7YsUK7Nq1C+PGjVO4wMnKygqRkZESRkZERIWZ2ifYyMhI/PTTT/Dy8oKm5n+LI5PJcO/ePekCIyKiQk3tE+yTJ09QtWrVbOVaWlpISUmRICIiIqLvIMFaWFhkuz0HAE6cOIEqVapIEBEREdF3cJtOjx49MG3aNOjp6QEA7t27h7///hvz589HSEiIxNEREVFhpfYJ1tfXF69fv8bgwYORkpKCfv36QU9PDz/88AM6d+4sdXhERFRIqX2CBYAhQ4agX79+uHnzJgRBQLVq1WBgYCB1WEREVIh9FwkWAPT19WFrayt1GERERADUNMFOmDABISEhKFq0KCZMmPDJuj///PM3ioqIiOg/aplg7927h8zMTPHv3GhoaHyjiIiIiBSpZYLdsGFDjn8TEREVFGp/HywREVFBpJZHsMuWLVO6LseDJSIiKahlgt2+fbtS9TjgOhERSUUtEywHWSciooKO52CJiIhUQO0T7NSpU7Fu3bps5evXr8eMGTPyvb0zZ86gR48esLe3h5OTEwYOHChOO3HiBDw9PWFnZ4cWLVpg7969+d4+ERGpB7VPsH/++Sfs7e2zldeuXRt//PFHvrYVHR2NgQMHolu3bjh58iSOHTsmJtiHDx9i4MCB8PX1RXR0NEJCQjBmzBj8+++/+RoDERGpB7VPsPHx8TA1Nc1Wbmpqiri4uHxta+7cuejatSs8PT2hr68PXV1d1KpVC8D7gd9lMhm6dOkCXV1duLu7w93dHVu3bs3XGIiISD2ofYItXbo0Lly4kK38/PnzKFWqVL618/btW/FotGPHjnB2doa3tzdOnjwJAIiJiYGNjY3Ce2xsbHIcq5aIiL5/ankV8Yfat2+PmTNnQl9fH66urgCA48ePIzQ0FN7e3vnWzps3byCXyxEVFYVffvkF1atXR2RkJAYMGIDff/8dSUlJqFatmsJ7jI2NkZSUlKd2zMwM8y1m+j6VLGkkdQiFCtc3fSm1T7ADBw5EbGwshgwZIj57WBAEtGvXDoGBgfnWTtGiRQEAnTp1gpWVFQCga9euWLduHY4ePQpDQ0MkJiYqvOfNmzcwNMxbwoyLS4JcLuRP0PTVCuKX64sXiZ+vpIYK4roG1G99F9T1WBipfYLV0tJCaGgoAgMDceXKFQCAtbU1KlSokK/tGBkZoXz58tnKs5J6jRo1cPToUYVpV65cQY0aNfI1DiIiUg9qn2CzVKhQId+T6sd69uyJVatWoXXr1qhWrRp27dqFR48eoWHDhhAEAStXrsSOHTvg6emJEydO4NChQzneQkRERN+/7ybBfgv+/v5ITk5Gnz598PbtW1SvXh3Lly9HuXLlAABLly7FjBkzMHnyZJQuXRrTp0+HnZ2dxFETEZEUNARB4Am/AoTnYAuWkiWN8OuZF1KHIersVFLtzgkqq6Cta0A91zfPwRYcan+bDhERUUHELmI1U8y0KHS0C9bvovQMOV6/SpY6DCKiAuW7SLBpaWk4evQo7t+/jy5dusDIyAgPHz6EsbExjI2NpQ4vX+loaxbIbjQiIlKk9gn28ePHCAgIwNOnT5GWloZmzZrByMgI69atQ2pqKqZMmSJ1iEREVAgVrL7GLzBjxgzUqFEDZ86cgZ6enljepEkTnD59WsLIiIgor3x9fTFu3Dipw8gXan8Ee/bsWaxfvx66uroK5eXKlcOzZ88kioqIiHLy6tUrrFixAgcOHMDjx49haGiIKlWqoEuXLmjbtq3U4eUrtU+wKSkp0NHRyVYeHx+vcERLRETSevLkCXr06AEtLS0MHToUVlZW0NbWxvnz57Fq1SpYWlqqrG25XA5BEKClpaWyNj6m9l3EderUwe+//56tfP369XB0dJQgIiIiysnkyZORlpaGyMhIeHp6olq1aqhUqRI6dOiAnTt3omLFimLdxYsXo379+nBycsLo0aORnPzfnQohISHw9/dXmPfu3bsVEnRYWBiaNWuGvXv3omXLlrCxscG9e/fg4eGBhQsXYurUqXBycoKrqyumT5+OjIyMfF9etT+CHT58OHx9fXH37l1kZmbil19+wfXr13H79m2OxUpEVEC8fv0aR44cwZAhQ2BklP1hGDo6OmJv5B9//IGOHTti/fr1ePLkCUaMGIGyZcti2LBheWrz+fPn2Lx5M0JDQ2FsbIySJd/f8bBx40b069cP27dvx9WrVzFq1ChUr14dXbp0+erl/JDaH8Ha2NggIiICurq6qFChAs6dO4dKlSph+/btqF69utThERERgAcPHkAul2cb1jMnZcuWxdixY1G1alW4ubmhVatW4tjbeZGamopZs2bBzs4OlStXFkc3c3BwQP/+/VGpUiW0bt0aLi4uXzT/z1H7I1gAqFatGmbMmCF1GERElIu8PJX341HISpUqhWPHjuW5zRIlSqBs2bLZymvWrJlt/g8fPszz/D9HLRNsXq4ONjc3V2EkRESkjIoVK0JTUxO3bt1C8+bNP1n34wtXNTQ0FBL0x68B5HgOtUiRIl80//yilgm2UaNG4jisn3Pt2jUVR0NERJ9TrFgxNGzYEJs2bYKvr2+287Dp6elIT09Xal5mZma4cOGCQtnVq1fzK9R8o5YJdv369eLfjx8/xuzZs+Hp6QkHBwcAwLlz5xAVFYWRI0dKFSIREX1k0qRJ6N69Ozp27IihQ4eiZs2a0NHRwYULF7Bq1SqEhoYqNR9XV1esWLECmzZtQoMGDXDq1Cns27dPxdHnnVomWCcnJ/Hvvn37YsSIEejUqZNY1rRpU1SrVg2//fYbvLy8JIiQiIg+VrZsWURGRmLFihUIDw8XHzRRtWpV9OnTR+kLU11dXTFs2DAsW7YMc+bMgbu7OwIDAwvco3HVfjzY2rVrY/fu3Qr3TwHA/fv30b59+2zdCAXd58aD5ZiZ31ZBW99c19+WOq5vjgdbcKj9bTomJiY4fPhwtvIjR47AxMTk2wdEREQENe0i/lDfvn0xc+ZMXL58Gfb29gCA8+fPY9++fQgODpY4OiIiKqzUPsH6+vqiTJkyWL16Nf7++28AQNWqVbFgwQI0bdpU4uiIiKiwUvsEC7y/qInJlIiIChK1PwdLRERUEDHBEhERqQATLBERkQowwRIREakAEywREZEKfBcJ9tSpUxg8eDDatWuHp0+fAgAiIiJw+vRpiSMjIvr+ZX7i6XNSt+Xr6wtLS0vxNs4Py8PCwvIztGzU/jadP//8EyNGjEC7du1w7949cTSG1NRUrFy5Es7OzhJHSET0fdPS1Phmj7ns7FQyz+8xNTXFrFmzUL9+fWhpaakgqpyp/RHs0qVLMXHiREyfPh3a2v/9XrC3t+dQdUREhE6dOiE5ORnbt2/PcfrNmzcREBAAZ2dnuLu7IzQ0FKmpqV/drton2Dt37sDFxSVbubGxMRISEiSIiIiIChJ9fX0EBQVh0aJFSEpKUpiWlJSE3r17w9bWFn///Tc2bNiAEydOYPbs2V/drtonWGNjY7x4kb1r4vr16zA3N5cgIiIiKmjatGmDChUqYOnSpQrlWYPFDB06FHp6eihXrhyGDRuGiIgIfO1gc2qfYJs3b4758+cr/Cq5desW5syZg9atW0sYGRERFRQaGhoYM2YMNmzYgNjYWLH8yZMnKFu2rMK52QoVKiAlJQXx8fFf1abaJ9gRI0ZAEATUr18fKSkp6Ny5M9q1awcLCwsMHjxY6vCIiKiAqF27Npo1a4Y5c+aIZWXKlMHjx48hl8vFstjYWOjr66N48eJf1Z7aX0VsYGCADRs24PTp07h8+TLkcjlsbGxyPC9LRESFW1BQEFq1agV9fX04OTmhcePGmDFjBhYtWoRBgwbhxYsXWLhwITp16gQNDY2vakvtE2wWZ2dn3pJDRESfVLZsWfj7+2PZsmUAAENDQ6xevRozZsyAm5sbDAwM0KJFCwwfPvyr29IQvvYsrgSioqLQokUL6OrqIioq6pN1DQwMIJPJUL58+W8U3deJi0uC/BM3UpcsafTN7jdTVmenknjxIlHqMFSioK1vrutvSx3Xd8mSRt+8zUy5AC3NrzvaK4htfS21PIIdNWoUXF1dYWZmhlGjRn22vqamJkaOHImAgIBvEB0RUeHyLROeuiRXQE0TbExMTI5/5yQtLQ1RUVGYP38+EywREX0zaplg80JXVxfNmzfH2bNnpQ6FiIgKke8iwWZkZODSpUt4/Pix+CziLF5eXjAyMsKMGTMkio6IiAojtU+w9+7dww8//ID79++Ll1QLggBNTU1oamrCy8tL2gCJiKhQUvsHTcyYMQNVq1bFqVOnoK+vjz179mDz5s2wsrLC2rVrpQ6PiIgKKbVPsP/++y+GDh2KYsWKiUewderUQVBQEKZPny5xdEREVFipfYLNyMiAoaEhgPdj/sXFxQEAypUrh9u3b0sZGhERFWJqfw62SpUquHXrFsqVK4eaNWtiw4YNMDMzw4YNG1C6dGmpwysUhMwMSW5uz01mejriX6dIHQYRFXJqn2D9/Pzw6tUrAEBgYCD69OmDNm3aQFdXN1/G86PP09DSxuv/hUkdhqhYyyEAmGCJvhUhMwMaWt8mnXzLtr6WekT5CW3bthX/rlmzJg4ePIjbt2+jbNmyMDU1lTAyIqLC4Vv+yH7/A1o5gYGBSEtLw4oVKxTK+/XrBz09PYSHh+d3eArU/hxseHg43r17J77W19eHtbU1ihQpovKVR0REBde0adNw48YNrFu3TizbuHEjbt68ialTp6q8fbVPsIsXL8bbt2+zlb979w6LFy9WWbuBgYGwtLTE6dOnxbITJ07A09MTdnZ2aNGiBfbu3auy9omI6NOKFSuG2bNnY/78+bh+/Tpu3bqFuXPnYvbs2Th8+DA8PT3h4OCANm3aYM+ePeL7Hj9+jH79+sHJyQkODg5o27btFz0NUO27iAVByHHMvvv378PY2Fglbe7atQspKYrn+B4+fIiBAwdi/PjxaN++PY4fP45hw4bBwsICdnZ2KomDiIg+zcnJCf7+/ggKCoKWlhb8/f0RGxuL8PBwLFq0CFZWVvjnn3/www8/wNzcHI6Ojpg7dy7Mzc1x9OhR6Ojo4N69e9DR0clz22qbYD08PKChoQENDQ106tQJmpr/HYzL5XK8ePECLVu2zPd2nz59igULFmDz5s1wd3cXyyMjIyGTydClSxcAgLu7O9zd3bF161YmWCIiCQ0ZMgR///03AGDw4MHw8vLCwIEDYWNjAwBwdHRE27ZtERkZCUdHR+jq6uLly5d48OABqlWrhipVqnxRu2qbYLt06QJBELBo0SK0bdsWBgYG4jQdHR2UK1cOTZs2zdc2BUHA2LFjMXDgQJQtW1ZhWkxMjLixstjY2Ch0OyjDzMzwq+MkacbE/Fa+52UriLi+1Z+WlhZkMpn49/379zF9+nSEhoaKdTIzM+Ho6AgAGD16NJYuXYrBgwfjzZs3cHd3x8iRI1G8ePE8tau2CXbgwIEAgDJlyqB169bQ09NTeZubN2+GIAjw9vbONi0pKQnVqlVTKDM2NkZSUlKe2lBmwHX6vPwaJLsgrm91GwBcWQVxXQPqt74L6nosSEqUKIHhw4ejXbt2OU43NTXF2LFjMXbsWDx79gwjR45EaGioQkJWhtpf5NShQ4dvklwfPHiApUuX5nrlmaGhIRITFXfEN2/eiE+ZIiKigqFXr14IDw/HpUuXIJfLkZaWhosXL+Ly5csAgD179uDBgweQy+UoWrQodHV1FU5DKkttj2CzxMfHIzQ0FCdOnEBcXBwEQfHo79q1a/nSztmzZ/H69Wt07NhRoXzQoEFo27YtatSogaNHjypMu3LlCmrUqJEv7RMRFVRCZkae7k/92ra+9kETvXr1gqmpKSZNmoQHDx6IXchDhw4F8P6U35w5c/Dq1Svo6+vDxcUFo0aNynM7ap9gx40bhxs3bsDPzw+lSpXK8Yri/NCqVSu4uroqlDVq1AhTp06Fq6sr3rx5g5UrV2LHjh3w9PTEiRMncOjQIYX7r4iIvkff8slKX9rWzJkzFV57enrC09Mzx7pBQUEICgr6onY+pPYJ9syZM1i9erXKr9QtUqQIihQpkq28ePHiMDExgYmJCZYuXYoZM2Zg8uTJKF26NKZPn84riImICim1T7AmJiYoWrSoJG1fv35d4bWrqyuioqIkiYWIiAoWtb/IacCAAVi6dCkyMjKkDoWIiEik9kew+/btw6VLl9CoUSNUqVIl29M2Vq9eLVFkRERUmKl9gi1dujTHfSUiogJH7RPsjBkzpA6BiIgoG7U/B5slJiYGf/zxhzh0XVpaGuRyucRRERFRYaX2R7CvX7/GkCFDEB0dDQ0NDezfvx/ly5fH5MmTYWhoiDFjxkgdIhERFUJqfwQbGhoKTU1NHDx4EPr6+mJ5ixYtcOzYMQkjIyKiwkztj2CPHz+OJUuWZBvdpnLlynj8+LFEURERUWGn9kewCQkJMDExyVaenJz8RQ9nJiIiyg9qn4GsrKzEgXQ/tGvXLj6mkIiIJKP2XcSDBw9GYGAgnj17Brlcjt27d+PmzZs4cOAAH7RPRESSUfsj2Pr162Pp0qU4f/48NDU1sWLFCrx8+RKrVq2Cg4OD1OEREVEhpfZHsADg4uICFxcXqcMgIiISqf0R7MWLF/Hvv/9mK//3339x6dIlCSIiIiL6DhLs1KlT8ejRo2zlT548wbRp0ySIiIiI6DtIsDdv3oSNjU22cmtra9y8eVOCiIiIiL6DBKupqYmkpKRs5QkJCXwWMRERSUbtE6y9vX2OY76uWbMG9vb2EkRERET0HVxFPGzYMPj6+sLLy0u8kvjkyZO4f/8+1q9fL3F0RERUWKn9EayNjQ0iIiJQvXp1/P333/j7778hk8mwbds22NraSh0eEREVUmp9BJueng4fHx9Mnz4ds2fPljocIiIikVofwero6ODevXvQ1lbr3wlERPQdUusECwCtW7dGVFSU1GEQEREpUPtDPxMTE6xduxbnzp1DrVq1UKRIEYXpAwYMkCgyIiIqzNQ+wf72228wNjbG/fv3cf/+fYVpGhoaTLBERCQJtU+wBw8elDoEIiKibNT+HOyHUlNTkZqaKnUYRERE30eC3bFjB5o1awZ7e3vY29ujefPm2Llzp9RhERFRIab2XcTr1q3D3Llz0b17d9StWxcAcObMGUyePBnJycnw9fWVOEIiIiqM1D7Bbty4EePGjYO3t7dY1rRpU1SpUgWrVq1igiUiIkmofRfxkydPxGcQf8jFxQVPnjyRICIiIqLvIMGWLl0ap0+fzlZ+5swZlC5dWoKIiIiIvoMu4u7du2Pq1Kl48OABHB0dAQDR0dHYuHEjhg4dKnF0RERUWKl9gu3Tpw/09fWxYsUKrFixAsD7o9rRo0ejR48eEkdHRESFldon2LS0NHTo0AE9e/ZEUlISAMDQ0FDiqIiIqLBT23Owr1+/xoABA2Bvbw8HBwd069YNCQkJTK5ERFQgqG2CnT9/Pv79918MGTIEo0ePRlxcHCZOnCh1WERERADUuIv46NGjmDZtGjw8PAAADRo0gKenJzIyMjg+LBERSU5tj2CfPXsGa2tr8XW1atWgo6OD58+fSxgVERHRe2qbYDMzM6Gjo6NQpqmpiczMTIkiIiIi+o9a96X++OOPCkk2LS0NwcHB0NfXF8tWr14tRWhERFTIqW2C7dChQ7YyT09PCSIhIiLKTm0T7IwZM6QOgYiIKFdqew6WiIioIGOCJSIiUgEmWCIiIhVgglXS7Nmz0aZNG9SpUwdubm4YO3YsXr16pVDn6tWr6NatG+zs7NC4cWOsX79eomiJiEhqTLBK0tLSwuzZs3H69Gns3r0bT58+xZgxY8TpSUlJ6Nu3L9zc3HDmzBksWLAA4eHh+N///idh1EREJBUmWCWNGDECVlZW0NHRgZmZGXx9fXHmzBlx+v79+6GpqYlBgwZBT08PtWvXRpcuXbB582YJoyYiIqkwwX6hkydPokaNGuLrmJgYWFlZQVPzv1VqY2ODmJgYKcIjIiKJqe19sFLau3cvIiIisHHjRrEsKSkJRkZGCvWMjY3FMWqVZWbG4fbyQ8mSRp+vpKa+52UriLi+6UsxwebRnj178NNPP2Hp0qUKgw0YGhoiLi5Ooe6bN2/yPD5tXFwS5HIh1+nc2ZXz4kVivsynIK7v/Fq2gqYgrmtA/dZ3QV2PhRG7iPMgIiICkydPxrJly1CvXj2FaTVq1MDVq1chl8vFsitXrih0IxMRUeHBBKuk9evXY86cOVi1ahUcHByyTW/evDkyMzOxdOlSpKWl4eLFi4iIiED37t0liJaIiKTGLmIlTZs2Ddra2vDz81Mo37NnD8qWLQtDQ0OsXLkSkydPxvLly2FqaorAwEC0atVKooiJiEhKTLBKun79+mfrWFlZYdu2bd8gGiIiKujYRUxERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCrABEtERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCrABEtERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCqgLXUARKQ8ITMDJUsaSR2Ggsz0dMS/TpE6DKIChwmWSI1oaGnj9f/CpA5DQbGWQwAwwRJ9jF3EREREKsAES0REpAJMsERERCrABEtERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCrABEtERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCrABEtERKQCTLBEREQqwARLRESkAkywREREKsAES0REpAJMsERERCrABEtERKQC2lIHQERUUAmZGShZ0kjqMESZ6emIf50idRikJCZYIqJcaGhp4/X/wqQOQ1Ss5RAATLDqgl3EREREKsAES0REpAJMsERERCrABJuP5HI55s2bB1dXV9jb26NPnz549OiR1GEREZEEmGDz0cqVK/H7779j48aNOHbsGMqWLYsBAwZALpdLHRoREX1jvIo4H23duhV9+/ZFlSpVAACjRo2Cq6srzp07h7p16yo1D01Njc/WMdAteL+LNIsUnFsZAOXWo7IK2vouaOsayL/1XdDWNVDw1nd+frZJtTQEQRCkDuJ7kJiYCEdHR0RERKBWrVpieZs2beDt7Q0/Pz8JoyMiom+t4P1cVFNJSUkAAGNjY4VyIyMjcRoRERUeTLD5xNDQEMD7I9kPJSYmitOIiKjwYILNJ0ZGRrCwsMDly5fFssTERDx48AA1a9aUMDIiIpICE2w+6tatG1atWoW7d+/i7du3mD17NipVqgQHBwepQyMiom+MVxHno759+yIxMRE9evTAu3fv4ODggKVLl0JTk79jiIgKG15FTEREpAI8tCIiIlIBJlgiIiIVYIIlIiJSASbYQiYsLAy+vr5ShyG5hw8fwtLSEg8fPpQ6FCL6TjHBfmO+vr6wtLRERESEQnliYiLs7e3z9Uvf19cXYWFhXz2f06dPw9LSMh8iksbOnTvh4eGhknlfvnwZAwYMgJOTE+zs7NCqVSssW7YM6enpKmmvsLK3txf/2djYoGbNmgpljx8/ljpEomyYYCVQvXp1bNmyRaFs165dsLCwkCgi+hInT55Ejx49UK1aNezZswfR0dGYMmUKIiMjERgY+N2NoiTlj4bz58+L/3744Qc4OjoqlJUtW1ay2PJTWlqa1CFQPmKClUCTJk3w/PlzXLp0SSzbtm0bvL29Fept374drVq1Qp06deDl5YWDBw+K07KOKv/880+0aNECderUQZ8+ffD8+XMAwMSJE3H27FksX74c9vb2qF+/vsK8w8PD4ebmBicnJ0yaNAmZmZk5xvr48WP069cPwH9HEevXrwcA3Lx5EwEBAXB2doa7uztCQ0ORmpr6yWX38PBAeHg4evXqhdq1a6Nt27a4evUq9u7di+bNm8PBwQFjxoxR+DL/XDseHh5YunQp+vbtC3t7ezRv3hx//fUXAODs2bOYNGkSHj9+LMafNQ0Azp07h3bt2sHe3h7dunXD7du3Pxn/h3766Sc0b94cI0eORMmSJaGrq4u6detiyZIlOH78OPbt2wfg89sKAFJTUzFv3jw0bdoUdevWRc+ePXH16tUc283MzETDhg0RFRWlUL5gwQKF7v8jR46gS5cuqFu3Lpo3by5ut6z2hg4dCjc3N9jb26Nt27bYu3evwvwsLS2xbt06dOnSBXZ2djh27JjS6+Zb2bBhA3r27Cm+Dg0NhaWlJWJjYwG8/+zY2Njg7du34mtlP7N///03HB0d8e7dO7FMLpfDw8MDO3fuBPD57Xb69Gl4e3vDyckJzs7OGDBggBgb8F/vytq1a9G4cWO4u7vn38oh6Qn0Tfn4+AiLFi0S5s+fL4wZM0YQBEE4c+aM0LhxY+HBgweCTCYTYmNjhT179giOjo5CdHS0kJ6eLuzfv1+wtrYWLl68KAiCIJw6dUqQyWTCqFGjhDdv3ggJCQlC165dxXl+2NaHFi1aJFhZWQlr1qwR0tLShNu3bwuOjo5CZGRkrjFntfWhxMREoX79+sK8efOElJQUITY2VvD09BR+/vnnTy6/u7u70KRJE+HmzZtCWlqaEBQUJHh4eAhjx44VkpOThYcPHwpOTk7Czp07lW7H3d1dcHd3F65cuSJkZmYKK1asEOrUqSMkJSUJgiAIO3bsENzd3RXiiI2NFWQymRAQECC8ePFCSElJEQIDAwU/P79Pxp/lzp07gkwmE44fP57jdG9vbyEoKEhh/X1qWwUHBwsBAQHC06dPhfT0dGHjxo1CvXr1hISEhBznHxYWJvj4+IivMzIyBDc3N+H3338XBEEQTp48KTg6OgonTpwQMjMzhevXrwsNGzYUdu/eLQiCILx7907YuXOn8ObNGyE9PV3YuXOnYGVlJdy6dUucp0wmE1q1aiXcunVLkMvlwrt375RaN6q2aNEicdlv3bolWFtbi9va09NTaN68ubBlyxZBEARhzZo1Yt28fmblcrnQpEkTYceOHWLZ4cOHBUdHR3FdfG67nT17Vjh//ryQlpYmvHr1Shg4cKDg7e0tzm/Hjh1CzZo1hUmTJgnJycnC27dv83ltkZR4BCsRb29v/O9//0NiYiK2bt2KLl26QEPjv3Eed+zYgS5dusDR0RHa2tpo1qwZPDw8sp27DQoKgpGREYyNjdGuXTuFo+LclCtXDv7+/tDR0UGVKlXg4uKi1Ps+dPjwYQDA0KFDoaenh3LlymHYsGGIiIiA8Jlnl3Tp0gXVqlWDjo4O2rVrh4cPH+LHH3+EgYEBLCwsULduXfGZzsq207VrV1hZWUFTUxPdu3dHUlIS7t69+9nlCAwMRIkSJaCnp4dOnTrh4sWLSi1/fHw8AMDc3DzH6aVLlxbrZMltW7169QqRkZGYNGkSzM3Noa2tjZ49e6JYsWI4dOhQjvPv0qULzp8/Ly7joUOHkJGRgWbNmgEA1q5di549e8LFxQWampqQyWTo2bOneOSlr6+PDh06wMjICNra2ujQoQOqVq2K06dPK7TTu3dvVK1aFRoaGtDX11dq3XxLVatWhZmZGU6fPo2XL1/i0aNH6NevH44fPw4AOH78uNh7k9fPrIaGBry9vbF9+3axbPv27Wjfvj309fWV2m4ODg6oXbs2dHR0UKxYMQwePBgXLlxQOCrW1NTEmDFjYGBggCJFiqhqVZEE+KhEiZQpUwbOzs5YtWoVDh48iODgYIXzL0+ePEHTpk0V3lOhQgVcv35doezDL3gDAwMkJyd/tu1SpUopvP7wfRMnThS7HsuWLYs9e/bkOI8nT56gbNmy0NLSUogvJSUF8fHxuHv3rti1DAArVqyAo6MjAKBkyZJiedaX9ocx6evri/F8rh0zM7Ns7y9atCgA5HldGBgYiF2Jn1O8eHEAwLNnz1C1atVs058+fYpy5coplOW2rR48eAAA6Nixo0L99PR0PHv2LMf2zc3N4e7uju3btyM4OBgRERHo0KEDdHV1AQD379/HyZMnsXHjRvE9mZmZ4rnKtLQ0zJkzB4cOHUJcXBw0NTXx9u3bbD8KPl6GgsjV1RUnTpxAUlISnJyc0LBhQ8yaNQspKSk4e/YshgwZAkD5z9KHOnXqhEWLFuHmzZsoVqwYDh8+jN27dwNQbrtdu3YN8+bNw7Vr18TPliAIiI+PF6+5yPqBR98fJlgJde/eHf3790fz5s1RqlQphauHy5Qpk+1q4gcPHqBMmTJKz//DI2JlTZkyBVOmTFEoy+lZymXKlMHjx48hl8vF6bGxsdDX10fx4sVhZmaG8+fP57n9vLajDFU8C7py5cqoWLEidu3aBVdXV4Vpd+7cwaVLl+Dj46PUvEqUKAEA2LNnT65HxDnp3r07goKC0L17dxw7dgxjx45VmGf79u0xYMCAHN+7evVqHDt2DCtXrkSFChWgoaEBT0/PbEdy6vAc7fr16yM8PByJiYmoX78+SpUqBXNzc6xbtw66urqwsbEB8GWfpeLFi6NFixbYtm0bSpQoATs7O1SrVg2Acttt2LBh8PDwwNy5c2FsbIyrV6+iQ4cOCutZHdYxfRluWQk1aNAAa9asUfhizNKpUydERETg3LlzyMzMxF9//YWDBw+ic+fOSs+/ZMmSuHfv3lfHmfVFcufOHbGscePGEAQBixYtQlpaGh49eoSFCxeiU6dOX5TYc5Mf7ZQoUQLx8fFISEjIt7gAYNKkSdi3bx/mzZuHly9fIj09HWfPnsWgQYNQr149tGrVSqn5WFhYoGnTppg8eTIePXoEAEhKSsKRI0cULoT6mIuLC4yNjTFs2DDUrVsXFStWFKf16tUL69evx8mTJ5GRkYGMjAzcuHED0dHRAN7fFqarqwtTU1NkZGRg8+bNuHXr1lesDem4uLjg3r17OHDgANzc3AC8T7orVqyAs7OzmMC+9LPUvXt3/Pbbb9i+fbvChYjKbLfExEQULVoUhoaGePnyJRYtWqSq1UAFEBOshDQ0NODi4oLSpUtnm9a6dWsMHz4c48aNQ926dREWFoYFCxagVq1aSs+/d+/euHHjBhwdHdGwYcMvjrNy5crw9fVFjx494OjoiI0bN8LQ0BCrV6/GhQsX4Obmhp49e8LJyQmjR4/+4nZykh/t1KtXD40aNULz5s3h6OiIAwcO5Ets9evXx6ZNm3Djxg20atUKDg4OGDduHDw9PbF06VKFrsjPmTt3LmrWrImAgADY29ujZcuWnz2fnXWO8MqVK9muQG/atClmzpyJhQsXwtXVFa6urhg/fjxevXoFAAgICICZmRkaNWoEd3d3PHv2DHXq1PmyFSExMzMz1KhRAyYmJuKPjPr164tHtFm+9LPk4OAAc3NzJCcno2XLlgrTPrfdpk2bhqioKNSpUwe9e/cWz5FT4cDRdIjU2J9//olJkybhyJEj0NHRkTqc79bAgQNRoUIFjBkzRupQSI3wHCyRmkpOTsaqVavQo0cPJlcVunjxIo4ePSre10ykLHYRE6mhjRs3wtXVFQYGBggICJA6nO+Wt7c3evfujZEjR6J8+fJSh0Nqhl3EREREKsAjWCIiIhVggiUiIlIBJliir5SUlITw8HDcv39f6lCIqABhgiVSgqWlpfiIvA8JgoCQkBC8fPlS4UEP+SlrNJ6nT58q/Z6dO3fCyspKJfEQkXKYYEkyISEhsLS0hKWlJaytreHs7Izu3btjxYoVSj8T+Fs5duxYtocMAMDy5cuhq6uLiRMnShCVerCyshIHGcgP/v7+CAkJybf5EakK74MlSTk6OmLBggWQy+V4/fo1zp07h19++QW//vorNm3aJD6m8Uukp6fn2/2hHw5Q8KHcnvVLeSMIAjIyMng/L31XeARLktLR0UHJkiVhbm4OS0tL9OjRA9u2bcOrV68wd+5csZ6vry/GjRun8N4lS5bAw8NDfB0SEgJ/f39s2LABHh4esLW1RUpKCo4fPw5fX184OTnBwcEBPj4+2YalS05OxrRp09CoUSPY2NjAw8MDy5YtE6d/3EX8/PlzDB8+HI6OjqhVqxZ8fX0VhvzL6tY9fvw4evbsCTs7O7Ru3RpHjhz57DrZsGEDGjZsCDs7O/Tp0wdPnjzJVufy5cvi4/nq1auHwYMHi8/DzYtNmzahdevWsLGxgYuLizjyDPD+3PLEiRNRr1492NjYoGPHjgqDrj98+BCWlpbYu3cvfvjhB9jZ2aFJkyYKR6seHh7IzMzEmDFjxN4K4L8u7FOnTsHLywu2trY4ceIEYmNjMXjwYLi5ucHOzg7t2rXDrl27xPmFhITg5MmTiIyMFOeXNcTenTt30L9/f9jb28Pe3h4DBgzgeXGSFBMsFTjm5uZo164d9u/fD7lcnqf3Xrx4EadOncKSJUuwe/du6Ojo4O3bt+jevTu2bt2KrVu3omLFiujbt6/4XF5BEDBgwAAcPHgQEyZMwL59+xAaGprrCCuCICAwMBB37tzBsmXLEBERATMzMwQEBGQb7i00NBQ//PADdu/eDTs7OwwfPvyTgw789ddfmDFjBnr37o1du3ahZcuWmDVrlkKdW7duwdfXF7Vr18avv/6KdevWQVNTEwEBAUhNTVV6XS1atAhz5sxBjx49EBUVhZUrVyqctx07diyOHTuG2bNnY/fu3ahTpw4GDBiA27dvK8xn7ty5aN++PX777Te0adMG48ePF8ep/fXXX6GlpSXO68MELZfLMWfOHISEhGDfvn2wtbXF27dvUa9ePaxcuRJRUVHo2rUrxo4di1OnTgEAxo0bB0dHR7Rq1Uqcn729PVJSUtCnTx+kpqZiw4YN2LBhA5KTk9G3b1+FYSCJvqlvPMA7kSg4OFjo1atXjtM2b94syGQy4eXLl4IgCIKPj48wduxYhTqLFy8W3N3dFebn4OAgJCUlfbLdzMxMwdHRUdi9e7cgCIJw4sQJQSaTCRcvXsz1PTKZTNi1a5dC/Zs3b4rTU1NThfr16wthYWGCIAjCqVOnBJlMJvzxxx9inRcvXggymUz4+++/c22nW7duwogRIxTKZs6cKchkMuHJkyficg4bNkyhTmpqqlCrVi3hzz//FARBEHbs2CHUrFkz13aSk5MFW1tbYeXKlTlOv3fvniCTyYTDhw8rlHt5eQkhISGCIAhCbGysIJPJhNWrV4vTMzIyhNq1awtbtmwRy2rWrCns2LFDYT47duwQZDKZEB0dnWuMWQYMGCCMGzdOfN2rVy8hODhYoc727duFWrVqCXFxcWLZixcvBFtbWyEyMvKzbRCpAs/BUoEk/P8DxvI69F3VqlXFAdezxMbGYtGiRbhw4QLi4uIgCALevXuHx48fA3jf3WpiYgJbW1ul2sgafDtrXFAA0NXVRa1atbIN+VazZk3x7xIlSkBLSwtxcXG5zvv27dto27atQpmDgwNWr14tvr506RLu378Pe3t7hXqpqalKD09469YtpKamKow28/F04P058g85OjriwoULCmU1atQQ/9bS0oKZmRlevnypVBwfr/N3795h8eLFOHToEF68eIH09HSkpaXB2dn5s8tTtWpVhV6HEiVKoHLlyrh586ZSsRDlNyZYKpBu3boFIyMjFCtWDMD7RCt89FTPjIyMbO8rUqRItrIBAwbA1NQUEydORJkyZaCjo4MePXogPT1dJbF/KKeLdvLa7Z3T+9u3b4/+/ftnm5a1vr6lj5cxp22VEy0tLejp6SmUzZo1CwcOHEBISAiqVKmCIkWKYObMmUhKSsrXmIm+BZ6DpQLn2bNniIqKQrNmzcTBss3MzLINPn716tXPzuvVq1e4desW+vXrhwYNGqBatWrQ09NTOIq0sbFBQkKCwkVKn1K9enW8fv1a4Wg1LS0NFy9eRPXq1ZWaR26qVq2Kf/75R6Hs3LlzCq9tbGxw/fp1VKhQARUrVlT4Z2JionQ7enp6OH78eI7Ts5bj7NmzCuVnz57N8zLq6OggMzNTqbpnz55Fu3bt0Lp1a9SoUQPly5fPdlSe0/yqVauG27dvK5wDf/nyJe7evfvV24ToSzHBkqTS09Px4sULPHv2DNevX8fmzZvh7e2N4sWLIygoSKzn6uqKkydPYt++fbh//z5++eWXbF/+OTExMUHx4sURERGBu3fv4vz58xgxYgT09fXFOvXq1YOjoyOGDx+Ov/76C7GxsTh37hwiIiJynGe9evVQq1YtBAUF4dy5c7hx4wZGjx6N1NRUdO/e/avWR0BAAPbt24d169bh3r172LFjB3777TeFOlkXGo0cORIXL15EbGwsTp06halTpyI2NlapdooWLYrevXsjPDwcmzZtwt27dxETE4Ply5cDACpUqICWLVti8uTJOHr0KG7fvo2pU6fi5s2b6NOnT56WqVy5cjh9+jSePXuW7SKwj1WuXBkHDhzAxYsXcevWLUyYMCHbD6ty5crhypUrePDgAeLj45Geno527dqhePHiGD58OK5cuYLLly9j+PDhMDc3R+vWrfMUL1F+YYIlSZ09exZubm5wd3eHn58foqKi0LNnT0RGRircA+vl5YUePXpgypQp6NSpE548eQJfX9/Pzl9TUxMLFy7EgwcP4OnpiZCQEPTq1UvhvlYNDQ0sX74cjRo1wk8//YRWrVph1KhR4lXGH9PQ0MDixYtRpUoV/PDDD+jcuTNevnyJ1atX53rlsbKaNWuG4OBgrFy5Ep6enoiKisLIkSMV6lStWhVbt27F27dv0adPH7Rp0wYTJkxAamoqjIyMlG5r2LBhGDZsGNavX4927dohICAAV65cEadPmzYNbm5uGDVqFNq3b49//vkHy5YtQ9WqVfO0TMHBwbhy5QqaNGkCFxeXT9YdM2YMLCws4OfnB39/f5ibm6NFixYKdQICAmBqaor27dvDxcUF//zzD/T19bFq1Sro6urCx8cHvr6+MDAwwMqVK6Grq5uneInyC4erIyIiUgEewRIREakAEywREZEKMMESERGpABMsERGRCjDBEhERqQATLBERkQowwRIREakAEywREZEKMMESERGpwP8BEv9mDGyuCNoAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Dataframe con tasa de abandono por cada tipo de contrato\n",
        "contract_churn = df.groupby(['Contract', 'Churn']).size().reset_index(name='counts')\n",
        "contract_churn['percent'] = contract_churn.groupby(['Contract'])['counts'].apply(lambda x:100 * x / float(x.sum()))\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.catplot(x='Contract', y='percent', hue='Churn', data=contract_churn, kind='bar', palette='pastel')\n",
        "plt.title('Relación entre duración del contrato y tasa de abandono', fontsize=16)\n",
        "plt.xlabel('Duración del contrato')\n",
        "plt.ylabel('Porcentaje de clientes')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GjRCnPYro_a4"
      },
      "source": [
        "### Pregunta: ¿Cómo afecta el tipo de servicio contratado a la tasa de abandono?"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "TkjbbrYlo86t",
        "outputId": "1f9f1dd3-4190-4d79-9f13-69e5b2ae1ff9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "sns.countplot(x='InternetService', hue='Churn', data=df, palette='pastel')\n",
        "plt.title('Tasa de abandono por tipo de servicio de internet contratado')\n",
        "plt.xlabel('Tipo de servicio de internet')\n",
        "plt.ylabel('Número de clientes')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8HtVjDQ-pzoa"
      },
      "source": [
        "Podemos observar que los clientes que contratan fibra óptica son los que tienen mayor tasa de abandono, seguidos de los clientes que tienen internet DSL. Por otro lado, los clientes que tienen internet por marcado no tienen una tasa significativamente alta de abandono.\n",
        "\n",
        "En conclusión, el tipo de servicio de internet contratado parece estar relacionado con la tasa de abandono, siendo los clientes que contratan fibra óptica los que tienen mayor probabilidad de abandonar el servicio. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "StjAStszqu75"
      },
      "source": [
        "### Pregunta: ¿Cuáles son los factores que influyen en la tasa de abandono de los clientes?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bKBqxVG3oyJf"
      },
      "source": [
        "Al analizar la relación entre la duración del contrato y la tasa de abandono de los clientes, se encontró que aquellos clientes con contratos a corto plazo (mes a mes) presentan una tasa de abandono significativamente más alta que aquellos con contratos a largo plazo (un año o dos años). Esta relación se mantiene incluso después de controlar por otras variables que puedan influir en la tasa de abandono.\n",
        "\n",
        "Los clientes que optan por contratos a corto plazo pueden estar buscando una mayor flexibilidad o no estar seguros de si desean seguir utilizando los servicios de la compañía. Por otro lado, aquellos que optan por contratos a largo plazo pueden estar buscando una mayor estabilidad y/o descuentos en el precio.\n",
        "\n",
        "La empresa podría considerar ofrecer descuentos adicionales a los clientes que optan por contratos a largo plazo para aumentar su lealtad y reducir su tasa de abandono. Además, se podría explorar la posibilidad de ofrecer opciones de contrato más flexibles para aquellos clientes que buscan una mayor flexibilidad en sus servicios."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b8tLn55QsEoQ"
      },
      "source": [
        "## 3.9 Informe sobre análisis de tasa de abandono de clientes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "beZxsZL9slfr"
      },
      "source": [
        "En primer lugar, se identificaron algunas características generales del conjunto de datos. Este consta de 7.043 observaciones y 21 variables, incluyendo información demográfica de los clientes, información sobre los servicios contratados, la duración del contrato, el tipo de facturación y la tasa de abandono.\n",
        "\n",
        "Se observó que la tasa de abandono en el conjunto de datos es de aproximadamente el 26,5%. Además, se encontró que la duración media del contrato es de 32 meses, y que la mayoría de los clientes tienen facturación electrónica y servicios de telefonía fija e Internet.\n",
        "\n",
        "A continuación, se realizó un análisis de las variables categóricas. Se observó que la mayoría de los clientes que abandonan la compañía tienen servicios de telefonía y múltiples líneas contratados. Además, se encontró una relación entre el tipo de servicio y la tasa de abandono.\n",
        "\n",
        "También se realizó un análisis de las variables numéricas, donde se observó que la duración del contrato y el cargo mensual tienen una relación inversa con la tasa de abandono, lo que sugiere que los clientes con contratos más largos y cargos mensuales más bajos tienden a abandonar menos la compañía.\n",
        "\n",
        "En conclusión, el análisis exploratorio de datos nos permitió identificar varios factores que influyen en la tasa de abandono de los clientes. La duración del contrato, el cargo mensual y el tipo de servicio contratado son variables importantes a considerar para la retención de clientes. Además, se encontró que existe una relación entre el tipo de servicio y la tasa de abandono. Los clientes con servicios de fibra óptica tienen una tasa de abandono más alta en comparación con aquellos que solo tienen servicios de teléfono."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qUtuF5GU2cSe"
      },
      "source": [
        "# **4. Ingeniería de atributos**\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LHcioDxYTt0B"
      },
      "source": [
        "Con el análisis exploratorio de datos se identificaron las variables mas importantes para la predicción de la tasa de abandono:\n",
        "\n",
        "- Tenure: tiempo en meses que el cliente ha estado suscrito al servicio\n",
        "- Contract: tipo de contrato del cliente (mes a mes, contrato anual, contrato bienal)\n",
        "- InternetService: tipo de servicio de Internet del cliente (DSL, fibra óptica, sin servicio de Internet)\n",
        "- PaymentMethod: método de pago del cliente (transferencia bancaria, tarjeta de crédito automática, cheque electrónico, cheque en papel)\n",
        "- MonthlyCharges: cargos mensuales del cliente\n",
        "\n",
        "A partir de estas se pueden crear nuevas variables que podrían ser útiles:\n",
        "\n",
        "- MonthlyCharges / Tenure: esta relacion podría indicar la rentabilidad del cliente para la compañía.\n",
        "- HasInternetService: nueva variable binaria que representa si el cliente tiene o no servicio de internet. (Se juntarian clientes con DSL y fibra óptica)\n",
        "- NumServices: indica la cantidad de servicios adicionales que tiene cada cliente. "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "B0bAPGqiWv3h"
      },
      "outputs": [],
      "source": [
        "# Variable MonthlyCharges / Tenure\n",
        "df['MthlyCharges_Tenure_Ratio'] = df['MonthlyCharges'] / df['tenure']\n",
        "\n",
        "# Variable binaria que indica si el cliente tiene o no servicio de internet\n",
        "df['HasInternetService'] = df['InternetService'].apply(lambda x: 'No' if x == 'No' else 'Yes')\n",
        "\n",
        "# Variable con la suma de servicios adicionales\n",
        "internet_vars = ['OnlineSecurity', 'OnlineBackup', 'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies', 'HasInternetService']\n",
        "df['NumServices'] = df[internet_vars].apply(lambda row: row.str.lower().replace({'yes': 1, 'no': 0, 'no internet service': 0}).astype(int).sum(), axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "01IH8Dvkfr-x"
      },
      "outputs": [],
      "source": [
        "# Con este codigo se arreglan los valores infinitos de la variable 'MthlyCharges_Tenure_Ratio'\n",
        "df.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
        "mode_value = df['MthlyCharges_Tenure_Ratio'].mode()[0]\n",
        "df['MthlyCharges_Tenure_Ratio'].fillna(mode_value, inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4CYbDeVFfY1C"
      },
      "source": [
        "Conversion de variables categoricas(con mas de dos categorias) en dummies."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "izOBowOOfho3"
      },
      "outputs": [],
      "source": [
        "# Crear una lista con las variables categóricas\n",
        "multi_cat_vars = ['InternetService', 'MultipleLines', 'OnlineSecurity', 'OnlineBackup',\n",
        "                  'DeviceProtection', 'TechSupport', 'StreamingTV', 'StreamingMovies',\n",
        "                  'Contract', 'PaymentMethod']\n",
        "\n",
        "# Crear las variables dummies para cada variable categórica\n",
        "for var in multi_cat_vars:\n",
        "    cat_list = f'var_{var}'\n",
        "    cat_list = pd.get_dummies(df[var], prefix=var)\n",
        "    df = df.join(cat_list)\n",
        "\n",
        "# Eliminar las variables categóricas originales del dataframe\n",
        "df.drop(columns=multi_cat_vars, inplace=True)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8506VzHkiIeO"
      },
      "source": [
        "Conversion de variables categoricas de dos categorias en binarias."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "vBre7eWPh4JK"
      },
      "outputs": [],
      "source": [
        "binary_vars = ['gender', 'Partner', 'Dependents', 'PhoneService', 'PaperlessBilling', 'Churn', 'HasInternetService']\n",
        "\n",
        "labelencoder = LabelEncoder()\n",
        "\n",
        "for var in binary_vars:\n",
        "    df[var] = labelencoder.fit_transform(df[var])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B7NOl5X2jgnI"
      },
      "source": [
        "Normalización de variables."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "FE80VFkAjf_W"
      },
      "outputs": [],
      "source": [
        "scaler = MinMaxScaler()\n",
        "df[['tenure', 'MonthlyCharges', 'TotalCharges']] = scaler.fit_transform(df[['tenure', 'MonthlyCharges', 'TotalCharges']])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yf4hP8hOjl0G"
      },
      "source": [
        "Discretización de variables numéricas."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "o8K0ty9i89f8"
      },
      "outputs": [],
      "source": [
        "bins = pd.cut(df['MonthlyCharges'], 5, labels=['Very low', 'Low', 'Medium', 'High', 'Very high'])\n",
        "df['MonthlyCharges_bin'] = bins\n",
        "\n",
        "# Conversion a dummies ya que se convierte en una variable categorica\n",
        "cat_list = pd.get_dummies(df['MonthlyCharges_bin'], prefix='MonthlyCharges')\n",
        "df = df.join(cat_list)\n",
        "\n",
        "df.drop(columns=['MonthlyCharges_bin'], inplace=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CXGIIhKy2kJT"
      },
      "source": [
        "# **5. Entrenamiento y Testeo**\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FMQBkHPlaV0m"
      },
      "source": [
        "## 5.1 División de datos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "S2OY4moCE5sL"
      },
      "outputs": [],
      "source": [
        "X = df.drop(['Churn','customerID'], axis=1)\n",
        "y = df['Churn']\n",
        "\n",
        "# Conjunto de entrenamiento y testeo\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZriwoNhhlFjY"
      },
      "source": [
        "## 5.2 Entrenamiento y evaluación de modelos:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZmU-P3hrlro9"
      },
      "source": [
        "Los modelos elegidos fueron Árboles de decisión, Regresión Logística, Máquinas de Vectores de Soporte (SVM) y Redes Neuronales Artificiales"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rtLWP7-FapB3"
      },
      "source": [
        "### 5.2.1 Modelo de árbol de decisión"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3i_CEP4CamE2",
        "outputId": "6a83f10d-80fd-4a92-c21b-6120bd1c11d1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precisión del modelo de árbol de decisión: 0.7324343506032647\n"
          ]
        }
      ],
      "source": [
        "# Modelo\n",
        "dt = DecisionTreeClassifier(random_state=42)\n",
        "\n",
        "# Entrenamiento\n",
        "dt.fit(X_train, y_train)\n",
        "\n",
        "# Predicción\n",
        "y_pred = dt.predict(X_test)\n",
        "\n",
        "# Precisión\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "print(\"Precisión del modelo de árbol de decisión:\", accuracy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VF53-1_kh6PN"
      },
      "source": [
        "### 5.2.2 Regresión logística"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1AXxjHs1iZf6",
        "outputId": "b7b18e6f-6492-4940-b17d-e138633afbe9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precisión del modelo de regresión logística: 0.8119233498935415\n"
          ]
        }
      ],
      "source": [
        "# Modelo\n",
        "lr = LogisticRegressionCV(cv=5, max_iter=1000, random_state=42)\n",
        "\n",
        "# Entrenamiento\n",
        "lr.fit(X_train, y_train)\n",
        "\n",
        "# Predicción\n",
        "y_pred = lr.predict(X_test)\n",
        "\n",
        "# Precisión\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "print(\"Precisión del modelo de regresión logística:\", accuracy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YIzZbPkah9AL"
      },
      "source": [
        "### 5.2.3 Máquinas de vectores de soporte (SVM)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u-BOPdecjKjo",
        "outputId": "43d17eaf-bc6c-4b57-c0a1-fe081fc5ae70"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precisión del modelo de SVM: 0.7984386089425124\n"
          ]
        }
      ],
      "source": [
        "# Modelo\n",
        "svc = SVC()\n",
        "\n",
        "# Entrenamiento\n",
        "svc.fit(X_train, y_train)\n",
        "\n",
        "# Predicción\n",
        "y_pred = svc.predict(X_test)\n",
        "\n",
        "# Precisión\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "print(\"Precisión del modelo de SVM:\", accuracy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qE9ERSwRiBbh"
      },
      "source": [
        "### 5.2.4 Redes neuronales artificiales"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2VGmXKl0jofT",
        "outputId": "b32cdfc3-5c3b-4f7d-c532-04aaccf6277a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Precisión del modelo de red neuronal: 0.8005677785663591\n"
          ]
        }
      ],
      "source": [
        "# Modelo\n",
        "nn = MLPClassifier(max_iter = 500)\n",
        "\n",
        "# Entrenamiento\n",
        "nn.fit(X_train, y_train)\n",
        "\n",
        "# Predicción\n",
        "y_pred = nn.predict(X_test)\n",
        "\n",
        "# Precisión\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "print(\"Precisión del modelo de red neuronal:\", accuracy)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o8o7wTCfmW1K"
      },
      "source": [
        "## 5.3 Validación cruzada"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTuZgGUSnMhl",
        "outputId": "593fb790-e19c-4a65-e743-2f68fdbbf7e1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Metricas \n",
            "----------------------\n",
            "\n",
            "Regresion Logistica: 0.8021 (0.00743)\n",
            "Arbol de Decision: 0.72631 (0.01051)\n",
            "SVM: 0.78825 (0.011)\n",
            "Red Neuronal: 0.7682 (0.01408)\n"
          ]
        }
      ],
      "source": [
        "num_folds = 5\n",
        "\n",
        "kfold = KFold(n_splits=num_folds, shuffle=True, random_state=42)\n",
        "\n",
        "models = [\n",
        "    ('Regresion Logistica', LogisticRegressionCV(max_iter=1000)), \n",
        "    ('Arbol de Decision', DecisionTreeClassifier()), \n",
        "    ('SVM', SVC()), \n",
        "    ('Red Neuronal', MLPClassifier(max_iter=10000))\n",
        "]\n",
        "\n",
        "# Metricas\n",
        "results = []\n",
        "names = []\n",
        "print('Metricas \\n----------------------\\n')\n",
        "for name, model in models:\n",
        "    cv_results = cross_val_score(model, X_train, y_train, cv=kfold, scoring='accuracy')\n",
        "    results.append(cv_results)\n",
        "    names.append(name)\n",
        "    print(f'{name}: {round(cv_results.mean(), 5)} ({round(cv_results.std(), 5)})')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YYUk0ABh2kes"
      },
      "source": [
        "# **6. Optimización y selección de modelo**\n",
        "\n",
        "---"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "o1BLbfj2TCY2",
        "outputId": "53701e82-6d3a-4d4f-bf24-f896fb59084c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Regresion Logistica:\n",
            "Mejores parametros: {'Regresion Logistica__Cs': 10, 'Regresion Logistica__penalty': 'l2', 'Regresion Logistica__solver': 'liblinear'}\n",
            "Precisión del entrenamiento: 0.80334\n",
            "Precisión del test: 0.81192\n",
            "--------------------------------------------\n",
            "Arbol de Decision:\n",
            "Mejores parametros: {'Arbol de Decision__max_depth': 6, 'Arbol de Decision__min_samples_split': 2}\n",
            "Precisión del entrenamiento: 0.78577\n",
            "Precisión del test: 0.79915\n",
            "--------------------------------------------\n",
            "SVM:\n",
            "Mejores parametros: {'SVM__C': 10, 'SVM__kernel': 'linear'}\n",
            "Precisión del entrenamiento: 0.80334\n",
            "Precisión del test: 0.8176\n",
            "--------------------------------------------\n",
            "Red Neuronal:\n",
            "Mejores parametros: {'Red Neuronal__activation': 'logistic', 'Red Neuronal__alpha': 0.01, 'Red Neuronal__hidden_layer_sizes': (10,)}\n",
            "Precisión del entrenamiento: 0.80422\n",
            "Precisión del test: 0.81405\n",
            "--------------------------------------------\n",
            "Orden de los modelos: \n",
            "{'Modelo': 'Red Neuronal', 'Score': 0.80422, 'Hiperparámetros': {'Red Neuronal__activation': 'logistic', 'Red Neuronal__alpha': 0.01, 'Red Neuronal__hidden_layer_sizes': (10,)}}\n",
            "{'Modelo': 'Regresion Logistica', 'Score': 0.80334, 'Hiperparámetros': {'Regresion Logistica__Cs': 10, 'Regresion Logistica__penalty': 'l2', 'Regresion Logistica__solver': 'liblinear'}}\n",
            "{'Modelo': 'SVM', 'Score': 0.80334, 'Hiperparámetros': {'SVM__C': 10, 'SVM__kernel': 'linear'}}\n",
            "{'Modelo': 'Arbol de Decision', 'Score': 0.78577, 'Hiperparámetros': {'Arbol de Decision__max_depth': 6, 'Arbol de Decision__min_samples_split': 2}}\n"
          ]
        }
      ],
      "source": [
        "# Hiperparámetros\n",
        "params = [{'Regresion Logistica__Cs': [1, 10],\n",
        "           'Regresion Logistica__penalty': ['l1', 'l2'],\n",
        "           'Regresion Logistica__solver': ['liblinear']},\n",
        "          \n",
        "          {'Arbol de Decision__max_depth': [2, 4, 6],\n",
        "           'Arbol de Decision__min_samples_split': [2, 4, 6]},\n",
        "          \n",
        "          {'SVM__C': [0.1, 1, 10],\n",
        "           'SVM__kernel': ['linear', 'rbf']},\n",
        "          \n",
        "          {'Red Neuronal__hidden_layer_sizes': [(10,), (50,), (100,)],\n",
        "           'Red Neuronal__activation': ['relu', 'logistic'],\n",
        "           'Red Neuronal__alpha': [0.0001, 0.01, 0.1]}]\n",
        "\n",
        "\n",
        "result = []\n",
        "best_models = []\n",
        "# Búsqueda de hiperparámetros para cada modelo\n",
        "for i, (name, model) in enumerate(models):\n",
        "    pipe = Pipeline([(name, model)])\n",
        "    grid = GridSearchCV(pipe, params[i], cv=5, scoring='accuracy', n_jobs=-1, error_score='raise')\n",
        "    grid.fit(X_train, y_train)\n",
        "\n",
        "    best_model = (name, grid.best_estimator_)\n",
        "    best_score = grid.best_score_\n",
        "    best_models.append(best_model)\n",
        "    result.append({'Modelo': name, 'Score': round(best_score, 5), 'Hiperparámetros': grid.best_params_})\n",
        "    \n",
        "    print(name + ':')\n",
        "    print('Mejores parametros:', grid.best_params_)\n",
        "    print('Precisión del entrenamiento:', round(grid.best_score_, 5))\n",
        "    print('Precisión del test:', round(grid.score(X_test, y_test), 5))\n",
        "    print('--------------------------------------------')\n",
        "\n",
        "# Ordenamiento de los resultados\n",
        "result = sorted(result, key=lambda k: k['Score'], reverse=True)\n",
        "print('Orden de los modelos: ')\n",
        "for res in result:\n",
        "    print(res)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "id": "Ch6tpnqCLiAA",
        "outputId": "4da9bdde-2f4e-4ddd-f9df-f19b6325bdb7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 720
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 4 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(10, 10))\n",
        "axs = axs.flatten()\n",
        "\n",
        "for i, (name, model) in enumerate(models):\n",
        "    y_pred = best_models[i][1].predict(X_test)\n",
        "    fpr, tpr, thresholds = roc_curve(y_test, y_pred)\n",
        "    roc_auc = auc(fpr, tpr)\n",
        "\n",
        "    # Gráficas\n",
        "    df_temp = pd.DataFrame({'fpr': fpr, 'tpr': tpr})\n",
        "    colors = sns.color_palette('pastel')\n",
        "    sns.lineplot(x='fpr', y='tpr', data=df_temp, color=colors[0], lw=2, label='ROC curve (area = %0.2f)' % roc_auc, ax=axs[i])\n",
        "    axs[i].plot([0, 1], [0, 1], color=colors[2], lw=2, linestyle='--')\n",
        "    axs[i].set_xlim([0.0, 1.0])\n",
        "    axs[i].set_ylim([0.0, 1.05])\n",
        "    axs[i].set_xlabel('Tasa de falsos positivos')\n",
        "    axs[i].set_ylabel('Tasa de verdaderos positivos')\n",
        "    axs[i].set_title('Curva ROC (' + name + ')')\n",
        "    axs[i].legend(loc=\"lower right\")\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IRQ-Oq-cLiAA"
      },
      "source": [
        "# **7. Conclusión**\n",
        "\n",
        "---\n",
        "\n",
        "En este proyecto se trabajó con un conjunto de datos que contiene información demográfica y de servicios contratados de clientes de una compañía de telecomunicaciones, con el objetivo de predecir la tasa de abandono. A través de un análisis exploratorio de datos, se identificaron varios factores que influyen en la tasa de abandono de los clientes, como la duración del contrato, el cargo mensual y el tipo de servicio contratado. Además, se encontró una relación entre el tipo de servicio y la tasa de abandono, siendo los clientes con servicios de fibra óptica los que tienen una tasa de abandono más alta en comparación con aquellos que solo tienen servicios de teléfono.\n",
        "\n",
        "Se aplicaron cuatro modelos de aprendizaje supervisado para predecir la tasa de abandono de los clientes: Regresión Logística, Árbol de Decisión, SVM y Red Neuronal. Después de la optimización de hiperparámetros, se encontró que el modelo SVM tuvo el mejor desempeño en términos de precisión de prueba, seguido por Regresión Logística y Red Neuronal.\n",
        "\n",
        "En conclusión, el análisis exploratorio de datos y los modelos de aprendizaje supervisado aplicados en este proyecto proporcionan una valiosa herramienta para la retención de clientes en una compañía de telecomunicaciones. Identificar y abordar los factores que influyen en la tasa de abandono de los clientes puede ayudar a la compañía a tomar medidas preventivas y mejorar la satisfacción del cliente.\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [
        "heNwjrO0-HOs",
        "Q4ZSj10y804T",
        "Vb9pwAG409UP",
        "tXzWW-VFX_sI",
        "fTwzzDcYYNZf",
        "nf1mjHoQgGe9",
        "X7J81OvycNRG",
        "uhx1_BfMilQh",
        "SaeSagortQN6",
        "458D8e2rm5tR",
        "ueGr7MGGnZsk",
        "GjRCnPYro_a4",
        "StjAStszqu75",
        "b8tLn55QsEoQ"
      ],
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}