Streaming_Churn_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "56dcfeea-22d4-4012-9d6e-0cd37586d6c9",
   "metadata": {},
   "source": [
    "<br>\n",
    "<img src=\"data/logo.png\" alt=\"Logo\" style=\"width:300px\"/>\n",
    "\n",
    "# **Streaming Churn Analysis**<br>\n",
    "\n",
    "### 👨‍💻 Jorge Gómez Galván\n",
    "* LinkedIn: [linkedin.com/in/jorgeggalvan/](https://www.linkedin.com/in/jorgeggalvan/) \n",
    "* E-mail: ggalvanjorge@gmail.com"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ba6e926-5199-4f17-9852-ad6cabbe39c7",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "<b>🍿 Nerdflix</b> (empresa ficticia) nació en 2011 como una tienda internacional de souvenirs frikis especializada en Juego de Tronos. En 2018, con la finalización de la serie, decidió pivotar al mundo online hasta convertirse en el mayor repositorio de películas y series frikis y nerd nunca visto.\n",
    "<br><br>\n",
    "Sin embargo, la cancelación de suscripciones se ha disparado en los últimos meses, lo cual ha planteado interrogantes sobre los factores detrás de esta tendencia.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e36cc0da-1f0d-484a-857a-d7211d8e33ae",
   "metadata": {
    "tags": []
   },
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "<b>⚠ Disclaimer</b>: Los datos empleados han sido generados de manera sintética y ya han sido agregados. Al ser datos sintéticos, no se ha tenido en cuenta la influencia de la pandemia en el análisis.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d96670e9-f250-436d-9871-7b409690ae25",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f9306d5-e5d4-4f8d-932f-59ca1a89ee4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importación de librerías\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mticker\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2a5fed71-c5da-4ee2-a305-24e6338bc2ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lectura de datasets\n",
    "df_suscripciones = pd.read_csv('./data/suscripciones.csv', encoding='latin1', sep=';')\n",
    "df_clientes = pd.read_csv('./data/clientes.csv', encoding='latin1', sep=';')\n",
    "df_satisfaccion = pd.read_csv('./data/satisfaccion_clientes.csv', encoding='latin1', sep=';')\n",
    "df_oferta = pd.read_csv('./data/oferta.csv', encoding='latin1', sep=';')\n",
    "df_precio = pd.read_csv('./data/precio.csv', encoding='latin1', sep=';')\n",
    "df_consumo = pd.read_csv('./data/consumo.csv', encoding='latin1', sep=';')\n",
    "df_tecnologia = pd.read_csv('./data/tecnologia.csv', encoding='latin1', sep=';')\n",
    "df_sac = pd.read_csv('./data/sac.csv', encoding='latin1', sep=';')\n",
    "df_marketing = pd.read_csv('./data/marketing.csv', encoding='latin1', sep=';')\n",
    "df_kpis = pd.read_csv('./data/kpis.csv', encoding='latin1', sep=';')\n",
    "df_fuentes_externas = pd.read_csv('./data/fuentes_externas.csv', encoding='latin1', sep=';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "140f7956-2478-4f2d-aac7-b028eecd0cab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalización de los nombres de las columnas\n",
    "df_clientes = df_clientes.rename(columns={'ï»¿ID CLIENTE':'ID CLIENTE','COMPAÃIA INTERNET':'COMPAÑIA INTERNET'})\n",
    "df_satisfaccion = df_satisfaccion.rename(columns={'ï»¿AÃO':'AÑO'})\n",
    "df_consumo = df_consumo.rename(columns={'ï»¿AÃO':'AÑO'})\n",
    "df_tecnologia = df_tecnologia.rename(columns={'ï»¿AÃO':'AÑO'})\n",
    "df_fuentes_externas = df_fuentes_externas.rename(columns={'ï»¿AÃO':'AÑO'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0f2da995-879f-4a46-965f-3ebedeb50d69",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mostrar todas las columnas\n",
    "pd.set_option('display.max_columns', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3c13ab8-74d0-46c7-adbb-7246e480e799",
   "metadata": {},
   "source": [
    "## **1 - 🚩 Definición del problema**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f449d4b8-7be1-4661-8f41-4d59b1c539d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>ALTAS</th>\n",
       "      <th>BAJAS</th>\n",
       "      <th>SUSCRIPCIONES ACTIVAS</th>\n",
       "      <th>SUSCRIPCIONES INCREMENTO INTERMENSUAL</th>\n",
       "      <th>SUSCRIPCIONES NORMALIZADAS (MÁX)</th>\n",
       "      <th>SUSCRIPCIONES NORMALIZADAS (MEDIA)</th>\n",
       "      <th>RATIO BAJAS VS. ALTAS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>987</td>\n",
       "      <td>99</td>\n",
       "      <td>30659</td>\n",
       "      <td>0,029827685</td>\n",
       "      <td>1,127708096</td>\n",
       "      <td>1,664806112</td>\n",
       "      <td>0,100303951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>1317</td>\n",
       "      <td>109</td>\n",
       "      <td>31867</td>\n",
       "      <td>0,039401155</td>\n",
       "      <td>1,172141097</td>\n",
       "      <td>1,730401396</td>\n",
       "      <td>0,082763857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>1193</td>\n",
       "      <td>638</td>\n",
       "      <td>32422</td>\n",
       "      <td>0,017416136</td>\n",
       "      <td>1,192555265</td>\n",
       "      <td>1,760538301</td>\n",
       "      <td>0,534786253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>1155</td>\n",
       "      <td>487</td>\n",
       "      <td>33090</td>\n",
       "      <td>0,020603294</td>\n",
       "      <td>1,217125832</td>\n",
       "      <td>1,79681119</td>\n",
       "      <td>0,421645022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>1278</td>\n",
       "      <td>1001</td>\n",
       "      <td>33367</td>\n",
       "      <td>0,008371109</td>\n",
       "      <td>1,227314525</td>\n",
       "      <td>1,811852492</td>\n",
       "      <td>0,783255086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  ALTAS  BAJAS  SUSCRIPCIONES ACTIVAS  \\\n",
       "43  2021    8    987     99                  30659   \n",
       "44  2021    9   1317    109                  31867   \n",
       "45  2021   10   1193    638                  32422   \n",
       "46  2021   11   1155    487                  33090   \n",
       "47  2021   12   1278   1001                  33367   \n",
       "\n",
       "   SUSCRIPCIONES INCREMENTO INTERMENSUAL SUSCRIPCIONES NORMALIZADAS (MÁX)  \\\n",
       "43                           0,029827685                      1,127708096   \n",
       "44                           0,039401155                      1,172141097   \n",
       "45                           0,017416136                      1,192555265   \n",
       "46                           0,020603294                      1,217125832   \n",
       "47                           0,008371109                      1,227314525   \n",
       "\n",
       "   SUSCRIPCIONES NORMALIZADAS (MEDIA) RATIO BAJAS VS. ALTAS  \n",
       "43                        1,664806112           0,100303951  \n",
       "44                        1,730401396           0,082763857  \n",
       "45                        1,760538301           0,534786253  \n",
       "46                         1,79681119           0,421645022  \n",
       "47                        1,811852492           0,783255086  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_suscripciones.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1032d50d-c691-4886-962d-e9b937c8a95c",
   "metadata": {},
   "source": [
    "### 1.1 - Evolución de las suscripciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "427eeba7-7314-4911-aa5f-1a4c4af190c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_suscripciones['AÑO-MES'] = df_suscripciones['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_suscripciones['AÑO'].astype(str)\n",
    "# Creación de columna 'Trimestre'\n",
    "df_suscripciones['TRIMESTRE'] = df_suscripciones['MES'].apply(lambda mes: 'T1' if mes in [1, 2, 3] else ('T2' if mes in [4, 5, 6] else ('T3' if mes in [7, 8, 9] else 'T4')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4cfc63e9-b6bb-43b2-b225-f27cc10b5006",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nº de suscripciones por trimestre\n",
    "suscripciones_trimestre = df_suscripciones.groupby(['TRIMESTRE', 'AÑO']).agg({'SUSCRIPCIONES ACTIVAS': 'sum'})\n",
    "suscripciones_trimestre = suscripciones_trimestre.sort_values(by=['AÑO', 'TRIMESTRE']).reset_index()\n",
    "\n",
    "# Concatenación entre año y trimestre\n",
    "suscripciones_trimestre['AÑO-TRIM'] = suscripciones_trimestre['TRIMESTRE'] + ' ' + suscripciones_trimestre['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0839450e-08c2-4f5c-a7f1-5cb4b7b1b816",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráfico de barras con la evolución de las suscripciones activas por trimestre\n",
    "sns.barplot(data=suscripciones_trimestre, x='AÑO-TRIM', y='SUSCRIPCIONES ACTIVAS', color='#FF1D25', edgecolor='#000000')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Evolución del número de suscripciones activas por trimestre')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Suscripciones activas')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6457e4da-deba-40f2-942c-93cda7721fdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráfico de líneas con la evolución de las altas\n",
    "sns.lineplot(data=df_suscripciones, x='AÑO-MES', y='ALTAS', color='#43CA65', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Variación del número de altas')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Altas')\n",
    "plt.xticks(range(5, len(df_suscripciones), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8c8483c-65fc-47bf-b55a-5ff618d79204",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "La evolución del número de suscripciones activas y de altas ha mantenido una tendencia mayormente ascendente a lo largo del tiempo. Esta información refleja que la compañía ha experimento un crecimiento constante en la base de usuarios de la compañía.\n",
    "<br><br>\n",
    "No obstante, es importante cuestionar esta apreciación inicial y llevar a cabo un análisis más profundo que nos permita identificar de manera precisa el problema por el que Nerdflix atraviesa en la actualidad.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4771e9c9-d9fc-4371-ab77-3626fbf5e502",
   "metadata": {},
   "source": [
    "### 1.2 - Evolución de las cancelaciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c9cb2ade-c255-4946-997f-535100420e07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1sAAAHCCAYAAAAZytOnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB8p0lEQVR4nO3dd3xT1fsH8M/NaLr3olCWooAs2UMFZMkeIgqy+SmKoiyRoYKooIiAguJXZAkiKAIOFFmCIqAVwQECIkNWoXumacb5/VEIuUla0jZpkubzfr36gjty78nNbdIn5znPkYQQAkRERERERORUCnc3gIiIiIiIqDJisEVEREREROQCDLaIiIiIiIhcgMEWERERERGRCzDYIiIiIiIicgEGW0RERERERC7AYIuIiIiIiMgFGGwRERERERG5AIMtIiIiIiIiF2CwRUSV2vnz5xEZGYmXXnrJ3U1xu7y8PNx1110YOHAgTCaTu5tDRERU6THYIvIh/fv3R0BAADIzM4vd59FHH4VarcbVq1fLfb5z585BkiSsXr263McqjiRJmD17tt1thYWFGDRoEPr27Ys5c+a4rA2WZs+eDUmSyvTYkSNHombNms5tkIUnn3wSkZGRWLduHRQK33j7X716NSRJwrlz59zdFLfYu3cvJEnC3r17XXaODh06oEOHDi47PjmuZs2aGDlypFOPWdJ7LBHdmsrdDSCiijNmzBhs3boV69evx7hx42y2Z2VlYcuWLejVqxfi4uLKfb4qVarg4MGDuO2228p9rOIcPHgQ1apVs7tt8uTJiIiIwPLly112fm+xYsUKJCUl4aeffoK/v7+7m0MVpGnTpjh48CDq16/vsnO89957Ljs2EZG3Y7BF5EO6d++OhIQErFy50m6w9cknn0Cr1WLMmDHlOo/RaITBYIBGo0Hr1q3LdaxbKen4S5Yscem5vcmYMWPK/bq6il6vhyRJUKn4keQsN65paGioy38HXRnIERF5O9/IIyEiAIBSqcSIESNw+PBh/PnnnzbbV61ahSpVqqB79+5ISUnBuHHjUL9+fQQHByM2Nhb3338/fvzxR9ljbqQKzp8/H6+++ipq1aoFjUaD77//3m4a4enTpzFq1CjUqVMHgYGBqFq1Knr37m23PZmZmZg8eTJq164NjUaD2NhY9OjRAydOnDDvYy/F5a+//kLfvn0REREBf39/NGnSBGvWrJHtcyO96pNPPsHMmTORkJCA0NBQdO7cGSdPnnToem7btg1NmjSBRqNBrVq1sGDBArv7CSHw3nvvoUmTJggICEBERAQGDhyIM2fOOHQeax06dECDBg2QlJSEe++9F4GBgahduzZef/112Vis4lLo7KWW3TjmwYMH0bZtWwQEBKBmzZpYtWqV+bk2bdoUgYGBaNiwIbZv327Trn/++QdDhgxBbGwsNBoN6tWrh3fffdfuudeuXYvJkyejatWq0Gg0OH36NABg5cqVaNy4Mfz9/REZGYn+/fvj77//dui6HDp0CO3atYO/vz8SEhIwffp06PV6u/tu3LgRbdq0QVBQEIKDg9GtWzccOXLklufIz8/HlClTUKtWLXMbmzdvjk8++UR2Le2l1dlLE122bBkaN26M4OBghISEoG7dupgxY4Zsn0uXLuHxxx9HYmIi/Pz8kJCQgIEDB5pTfUu6pvZe65EjRyI4OBjHjh1Dp06dEBQUhJiYGDz99NPIz8+XndtkMmHJkiXmezc8PBytW7fGl19+WeLzTU9Px7hx41C1alX4+fmhdu3amDlzJnQ6nWw/SZLw9NNPY+3atahXrx4CAwPRuHFjfP311zbXz5H7y2Qy4dVXX8Wdd95pbm+jRo3w9ttv2xzPmiPvNy+//DJatWqFyMhIhIaGomnTplixYgWEELJj1axZE7169cL27dvRtGlTBAQEoG7duli5cqXNeW/1+gJAdna2+b7z8/ND1apVMWHCBOTl5ZX4nAoKCjB58mQ0adIEYWFhiIyMRJs2bfDFF1/Y7JudnY3HHnsMUVFRCA4OxgMPPIBTp07Z7Ofoe3h5XguiyoRfIxL5mNGjR+P111/HypUrsWjRIvP648eP45dffsG0adOgVCqRnp4OAJg1axbi4+ORm5uLLVu2oEOHDti9e7fNH1fvvPMO7rjjDixYsAChoaGoU6eO3fNfvnwZUVFReP311xETE4P09HSsWbMGrVq1wpEjR3DnnXcCAHJycnDPPffg3LlzeP7559GqVSvk5ubihx9+wJUrV1C3bl27xz958iTatm2L2NhYvPPOO4iKisK6deswcuRIXL16FVOnTpXtP2PGDLRr1w4ffvghsrOz8fzzz6N37974+++/oVQqi72Ou3fvRt++fdGmTRts2LABRqMR8+fPtzvWbezYsVi9ejWeeeYZvPHGG0hPT8ecOXPQtm1b/P7772VK2UxOTsajjz6KyZMnY9asWdiyZQumT5+OhIQEDB8+vNTHu3HMUaNGYerUqahWrRqWLFmC0aNH48KFC9i0aRNmzJiBsLAwzJkzB/369cOZM2eQkJAAoOj+adu2LapXr4633noL8fHx+O677/DMM88gNTUVs2bNkp1r+vTpaNOmDd5//30oFArExsZi3rx5mDFjBgYPHox58+YhLS0Ns2fPRps2bZCUlFTsPXXj/J06dULNmjWxevVqBAYG4r333sP69ett9p07dy5eeOEFjBo1Ci+88AIKCwvx5ptv4t5778Uvv/xSYk/NpEmTsHbtWrz66qu4++67kZeXh7/++gtpaWmlvt4bNmzAuHHjMH78eCxYsAAKhQKnT5/G8ePHzftcunQJLVq0gF6vx4wZM9CoUSOkpaXhu+++Q0ZGhuzesXdNk5OT7Z5br9ejR48eGDt2LKZNm4YDBw7g1Vdfxfnz5/HVV1+Z9xs5ciTWrVuHMWPGYM6cOfDz88Nvv/1W4hi4goICdOzYEf/++y9efvllNGrUCD/++CPmzZuHo0ePYtu2bbL9t23bhqSkJMyZMwfBwcGYP38++vfvj5MnT6J27doAHL+/5s+fj9mzZ+OFF17AfffdB71ejxMnTpQ4ThVw/P3m3LlzGDt2LKpXrw6gKMAfP348Ll26ZFOE5/fff8fkyZMxbdo0xMXF4cMPP8SYMWNw++2347777nP49c3Pz0f79u1x8eJF8z7Hjh3DSy+9hD///BO7du0qdpyoTqdDeno6pkyZgqpVq6KwsBC7du3CgAEDsGrVKvN7hRAC/fr1w4EDB/DSSy+hRYsW+Omnn9C9e3ebYzr6Hl7W14Ko0hFE5HPat28voqOjRWFhoXnd5MmTBQBx6tQpu48xGAxCr9eLTp06if79+5vXnz17VgAQt912m+x4lttWrVpVbFsMBoMoLCwUderUERMnTjSvnzNnjgAgdu7cWeJzASBmzZplXn7kkUeERqMR//33n2y/7t27i8DAQJGZmSmEEOL7778XAESPHj1k+3366acCgDh48GCJ523VqpVISEgQWq3WvC47O1tERkYKy7fWgwcPCgDirbfekj3+woULIiAgQEydOtW8bsSIEaJGjRolnleIotcPgPj5559l6+vXry+6detmXl61apUAIM6ePSvb78Zz//77722O+euvv5rXpaWlCaVSKQICAsSlS5fM648ePSoAiHfeece8rlu3bqJatWoiKytLdq6nn35a+Pv7i/T0dNm577vvPtl+GRkZIiAgwOb1+O+//4RGoxFDhgwp8Zo8/PDDIiAgQCQnJ5vXGQwGUbduXdk1+O+//4RKpRLjx4+XPT4nJ0fEx8eLQYMGlXieBg0aiH79+pW4T/v27UX79u1t1lu/vk8//bQIDw8v8VijR48WarVaHD9+vNh9irumltssX+sRI0YIAOLtt9+W7fvaa68JAGL//v1CCCF++OEHAUDMnDmzxDZaP9/3339fABCffvqpbL833nhDABA7duwwrwMg4uLiRHZ2tnldcnKyUCgUYt68eeZ1jt5fvXr1Ek2aNCmxvfY4+n5jyWg0Cr1eL+bMmSOioqKEyWQyb6tRo4bw9/cX58+fN6/TarUiMjJSjB071rzOkdd33rx5QqFQiKSkJNn6TZs2CQDim2++kZ13xIgRxR7rxvv4mDFjxN13321e/+2335Z4T1i+x9o7pr338LK+FkSVDdMIiXzQmDFjkJqaak4FMhgMWLduHe69915Z78H777+Ppk2bwt/fHyqVCmq1Grt377ab1tWnTx+o1epbnttgMGDu3LmoX78+/Pz8oFKp4Ofnh3/++Ud23G+//RZ33HEHOnfuXKrntmfPHnTq1AmJiYmy9SNHjkR+fj4OHjxo025LjRo1AlBUMr44eXl5SEpKwoABA2TFJkJCQtC7d2/Zvl9//TUkScLQoUNhMBjMP/Hx8WjcuHGZq8TFx8ejZcuWNm0vqd23UqVKFTRr1sy8HBkZidjYWDRp0sTcgwUA9erVA3DzGhUUFGD37t3o378/AgMDZc+zR48eKCgowKFDh2TnevDBB2XLBw8ehFartamklpiYiPvvvx+7d+8use3ff/89OnXqJOvpUSqVePjhh2X7fffddzAYDBg+fLisnf7+/mjfvv0tX4+WLVvi22+/xbRp07B3715otdoS97/VsTIzMzF48GB88cUXSE1Ntdnn22+/RceOHc3XvCTW1/RWHn30UdnykCFDABRdyxvnBoCnnnqqVMfds2cPgoKCMHDgQNn6G6+t9WvZsWNHhISEmJfj4uIQGxtbpvurZcuW+P333zFu3Dh89913yM7OdqjNjr7f7NmzB507d0ZYWBiUSiXUajVeeuklpKWl4dq1a7J9mzRpYu4BAwB/f3/ccccdst9RR17fr7/+Gg0aNECTJk1kz71bt24OVZr87LPP0K5dOwQHB5vfx1esWCF7v73xmhd3T1hy9D28rK8FUWXDYIvIBw0cOBBhYWHm8TjffPMNrl69KiugsHDhQjz55JNo1aoVPv/8cxw6dAhJSUl44IEH7P6BWaVKFYfOPWnSJLz44ovo168fvvrqK/z8889ISkpC48aNZcdNSUkptspgSdLS0uy25UawYJ3uFRUVJVvWaDQAUOIf0RkZGTCZTIiPj7fZZr3u6tWrEEIgLi4OarVa9nPo0CG7f2A7wrrdN9penj/+IyMjbdb5+fnZrPfz8wNQ9EcwUHRNDQYDlixZYvMce/ToAQA2z9P6NbrxuhT32t0qTS8tLc3h1wMAWrRoYdPWjRs33vL1eOedd/D8889j69at6NixIyIjI9GvXz/8888/JT7OnmHDhmHlypU4f/48HnzwQcTGxqJVq1bYuXOneZ/S/B44+jsIACqVyuYeunGtblzrlJQUKJVKu9e1JDdeC+vUttjYWKhUqlv+DgLye7k099f06dOxYMECHDp0CN27d0dUVBQ6deqEX3/9tcQ2O3Kdf/nlF3Tt2hUAsHz5cvz0009ISkrCzJkzAdi+ZzjyO+rIea9evYo//vjD5rmHhIRACFHiPbt582YMGjQIVatWxbp163Dw4EEkJSVh9OjR5t9foOgal3RPWHL0PbysrwVRZcMxW0Q+KCAgAIMHD8by5ctx5coVrFy5EiEhIXjooYfM+6xbtw4dOnTAsmXLZI/Nycmxe0xH55Zat24dhg8fjrlz58rWp6amIjw83LwcExODixcvOviMboqKisKVK1ds1l++fBkAEB0dXepjWouIiIAkSXbHw1ivi46OhiRJ+PHHH82BnCV765zlRq+bdVGCsgZ4xYmIiIBSqcSwYcOK7QWpVauWbNn6frnxR15xr92tXreoqCiHXw8A2LRpE2rUqFHiMe0JCgrCyy+/jJdffhlXr14193L17t3bXEjB398fWVlZNo+1d91HjRqFUaNGIS8vDz/88ANmzZqFXr164dSpU6hRo0apfg9KM7+bwWBAWlqa7I/rG9fqxrqYmBgYjUYkJyeXKpCLiorCzz//DCGErE3Xrl2DwWAo9e9gae4vlUqFSZMmYdKkScjMzMSuXbswY8YMdOvWDRcuXEBgYKDdxztynTds2AC1Wo2vv/5a1qO9devWUj2f0p43OjoaAQEBdotr3NhenHXr1qFWrVrYuHGj7LWwfk+Iiooq8Z6wPqYj7+FlfS2IKhv2bBH5qDFjxsBoNOLNN9/EN998g0ceeUT24SdJkk0g8Mcff9ik4ZWWveNu27YNly5dkq3r3r07Tp06hT179pTq+J06dcKePXvMwdUNH330EQIDA51SBjsoKAgtW7bE5s2bZd8O5+TkyIoLAECvXr0ghMClS5fQvHlzm5+GDRuWuz3FuVH57o8//pCtt6wk5wyBgYHo2LEjjhw5gkaNGtl9nva+5bfUpk0bBAQEYN26dbL1Fy9eNKeGlqRjx47YvXu3rECJ0WjExo0bZft169YNKpUK//77r912Nm/e3OHnHRcXh5EjR2Lw4ME4efKkuZJfzZo1cerUKdkftGlpaThw4ECxxwoKCkL37t0xc+ZMFBYW4tixYwCKfg++//57hytklsbHH38sW75RTORG8ZsbxRGsv3C5lU6dOiE3N9cmCPnoo4/M20ujrPdXeHg4Bg4ciKeeegrp6eklFvVw5P3mxvQEloVztFot1q5dW6rnY33eW72+vXr1wr///ouoqCi7z72kidAlSYKfn58s0EpOTrapRtixY0cAxd8T1sd05D3cUmleC6LKhj1bRD6qefPmaNSoERYvXgwhhM0cTL169cIrr7yCWbNmoX379jh58iTmzJmDWrVqwWAwlPm8vXr1wurVq1G3bl00atQIhw8fxptvvmmTSjNhwgRs3LgRffv2xbRp09CyZUtotVrs27cPvXr1Mv9xYG3WrFn4+uuv0bFjR7z00kuIjIzExx9/jG3btmH+/PkICwsrc9stvfLKK3jggQfQpUsXTJ48GUajEW+88QaCgoLMlRwBoF27dnj88ccxatQo/Prrr7jvvvsQFBSEK1euYP/+/WjYsCGefPJJp7TJWosWLXDnnXdiypQpMBgMiIiIwJYtW7B//36nn+vtt9/GPffcg3vvvRdPPvkkatasiZycHJw+fRpfffXVLYPm8PBwvPjii5gxYwaGDx+OwYMHIy0tDS+//DL8/f1tqhlae+GFF/Dll1/i/vvvx0svvYTAwEC8++67NqWxa9asiTlz5mDmzJk4c+YMHnjgAURERODq1av45ZdfzD1XxWnVqhV69eqFRo0aISIiAn///TfWrl2LNm3amL+sGDZsGP73v/9h6NCheOyxx5CWlob58+cjNDRUdqzHHnsMAQEBaNeuHapUqYLk5GTMmzcPYWFhaNGiBQBgzpw5+Pbbb3HfffdhxowZaNiwITIzM7F9+3ZMmjSp2Kqct+Ln54e33noLubm5aNGihbkaYffu3XHPPfcAAO69914MGzYMr776Kq5evYpevXpBo9HgyJEjCAwMxPjx4+0ee/jw4Xj33XcxYsQInDt3Dg0bNsT+/fsxd+5c9OjRo9TjMAHH76/evXujQYMGaN68OWJiYnD+/HksXrwYNWrUKLGapSPvNz179sTChQsxZMgQPP7440hLS8OCBQvK1TvtyOs7YcIEfP7557jvvvswceJENGrUCCaTCf/99x927NiByZMno1WrVnaP36tXL2zevBnjxo3DwIEDceHCBbzyyiuoUqWKLPW1a9euuO+++zB16lTk5eWhefPm+Omnn+wGko6+h5f1tSCqdNxanoOI3Ortt98WAET9+vVttul0OjFlyhRRtWpV4e/vL5o2bSq2bt1qU1HtRsXBN9980+YY9qoRZmRkiDFjxojY2FgRGBgo7rnnHvHjjz/areCWkZEhnn32WVG9enWhVqtFbGys6Nmzpzhx4oR5H9iplPXnn3+K3r17i7CwMOHn5ycaN25sUxHxRpW2zz777JZtLs6XX34pGjVqJPz8/ET16tXF66+/LmbNmiXsvbWuXLlStGrVSgQFBYmAgABx2223ieHDh8uq/5WmGuFdd91ls97e40+dOiW6du0qQkNDRUxMjBg/frzYtm2b3WqE9o5Zo0YN0bNnT5v1AMRTTz0lW3f27FkxevRoUbVqVaFWq0VMTIxo27atePXVV837FHfdb/jwww/N1zQsLEz07dtXHDt2rKTLYfbTTz+J1q1bC41GI+Lj48Vzzz0nPvjgA7sVGbdu3So6duwoQkNDhUajETVq1BADBw4Uu3btKvEc06ZNE82bNxcRERFCo9GI2rVri4kTJ4rU1FTZfmvWrBH16tUT/v7+on79+mLjxo02r8+aNWtEx44dRVxcnPDz8xMJCQli0KBB4o8//pAd68KFC2L06NEiPj5eqNVq835Xr1695TUtrhphUFCQ+OOPP0SHDh1EQECAiIyMFE8++aTIzc2VPd5oNIpFixaJBg0amF+TNm3aiK+++sq8j73f3bS0NPHEE0+IKlWqCJVKJWrUqCGmT58uCgoKZPvZu4+EsF9Vz5H766233hJt27YV0dHR5t/LMWPGiHPnztmcw5oj7zcrV64Ud955p/m1nzdvnlixYoXNPVbc7429a3Wr11cIIXJzc8ULL7wg7rzzTvPr0LBhQzFx4kRZBU571+31118XNWvWFBqNRtSrV08sX77c7vtUZmamGD16tAgPDxeBgYGiS5cu4sSJEzbvsY6+h5fntSCqTCQhrGbiIyIiokpr5MiR2LRpE3Jzc93dFCKiSo9jtoiIiIiIiFyAwRYREREREZELMI2QiIiIiIjIBdizRURERERE5AIMtoiIiIiIiFyAwRYREREREZELcFJjB5lMJly+fBkhISGymdiJiIiIiMi3CCGQk5ODhIQEKBTF918x2HLQ5cuXkZiY6O5mEBERERGRh7hw4QKqVatW7HYGWw4KCQkBUHRBQ0ND3dwaIiIiIiJyl+zsbCQmJppjhOIw2HLQjdTB0NBQBltERERERHTL4UUskEFEREREROQCDLaIiIiIiIhcgMEWERERERGRCzDYIiIiIiIicgEGW0RERERERC7AYIuIiIiIiMgFGGwRERERERG5AIMtIiIiIiIiF2CwRURERERE5AIMtoiIiIiIiFyAwRYREREREZELuDXY+uGHH9C7d28kJCRAkiRs3bpVtl0IgdmzZyMhIQEBAQHo0KEDjh07JttHp9Nh/PjxiI6ORlBQEPr06YOLFy/K9snIyMCwYcMQFhaGsLAwDBs2DJmZmS5+dkRERERE5MvcGmzl5eWhcePGWLp0qd3t8+fPx8KFC7F06VIkJSUhPj4eXbp0QU5OjnmfCRMmYMuWLdiwYQP279+P3Nxc9OrVC0aj0bzPkCFDcPToUWzfvh3bt2/H0aNHMWzYMJc/PyIiIiIiKh8hBEzZORBCuLsppSYJD2m1JEnYsmUL+vXrB6DooiYkJGDChAl4/vnnART1YsXFxeGNN97A2LFjkZWVhZiYGKxduxYPP/wwAODy5ctITEzEN998g27duuHvv/9G/fr1cejQIbRq1QoAcOjQIbRp0wYnTpzAnXfe6VD7srOzERYWhqysLISGhjr/AhARERERkQ3jtRRcrVkf0GigiI5C2JuvIqBfb7e2ydHYwGPHbJ09exbJycno2rWreZ1Go0H79u1x4MABAMDhw4eh1+tl+yQkJKBBgwbmfQ4ePIiwsDBzoAUArVu3RlhYmHkfe3Q6HbKzs2U/RERERERUsUwpqUX/0elgunQZkDw2hLHhsS1NTk4GAMTFxcnWx8XFmbclJyfDz88PERERJe4TGxtrc/zY2FjzPvbMmzfPPMYrLCwMiYmJ5Xo+RERERERUeqbUNNmyIibKTS0pPY8Ntm6QJEm2LISwWWfNeh97+9/qONOnT0dWVpb558KFC6VsORERERERlZcpNVW2rIyOdlNLSs9jg634+HgAsOl9unbtmrm3Kz4+HoWFhcjIyChxn6tXr9ocPyUlxabXzJJGo0FoaKjsh4iIiIiIKpYpxapnK5o9W+VWq1YtxMfHY+fOneZ1hYWF2LdvH9q2bQsAaNasGdRqtWyfK1eu4K+//jLv06ZNG2RlZeGXX34x7/Pzzz8jKyvLvA8REREREXkmo2UaoUoFKTzMfY0pJZU7T56bm4vTp0+bl8+ePYujR48iMjIS1atXx4QJEzB37lzUqVMHderUwdy5cxEYGIghQ4YAAMLCwjBmzBhMnjwZUVFRiIyMxJQpU9CwYUN07twZAFCvXj088MADeOyxx/C///0PAPD444+jV69eDlciJCIiIiIi9zAXyACgiIqEpPDY/iIbbg22fv31V3Ts2NG8PGnSJADAiBEjsHr1akydOhVarRbjxo1DRkYGWrVqhR07diAkJMT8mEWLFkGlUmHQoEHQarXo1KkTVq9eDaVSad7n448/xjPPPGOuWtinT59i5/YiIiIiIiLPYTlmSxHjPeO1AA+aZ8vTcZ4tIiIiIqKKl9qtLwp/LJqyya/DvYj+ZrObW1QJ5tkiIiIiIiKyLP3uTcUxAAZbRERERETkwSyDLSWDLSIiIiIiovITRiNMaenmZUVMjBtbU3oMtoiIiIiIyCOZ0jMAk8m8zDRCIiIiIiIiJ7BMIQQARQyDLSIiIiIionKzLPsOsGeLiIiIiIjIKWx6tqK9a54tBltEREREROSRTCnyYEvpZZMaM9giIiIiIiKPZEqxSCNUKiFFhLutLWXBYIuIiIiIiDyS0WLMliIqEpLCu8IX72otERERERH5DMsxW95WHANgsEVERERERB6KwRYREREREZELyIItLyuOATDYIiIiIiIiD2VZIIM9W0RERERERE4gTCaY0tLNy0ovm2MLYLBFREREREQeSGRkAkajeZk9W0RERERERE5gTJVPaKyIYbBFRERERERUbiaLObYAQME0QiIiIiIiovIzpVj3bDHYIiIiIiIiKjfLSoQAx2wRERERERE5heUcW5AkKCIj3NeYMmKwRUREREREHsdyzJYiKhKSUunG1pQNgy0iIiIiIvI4lj1b3phCCDDYIiIiIiIiD2RZ+t0bi2MADLaIiIiIiMgDsWeLiIiIiIjIBUzXUsz/98Y5tgAGW0RERERE5GGEEDClpZuX2bNFRERERETkBCIzCzAYzMtKBltERERERETlJ5tjC4AilmmERERERERE5Wa0mGML4JgtIiIiIiIipzBdsw62mEZIRERERERUbjZphAy2iIiIiIiIys9knUYYFemmlpQPgy0iIiIiIvIolj1bUmQEJJXKja0pOwZbRERERETkUSyDLWWMdxbHABhsERERERGRh7EMtrx1vBbAYIuIiIiIiDyM8VqK+f8MtoiIiIiIiJxE3rPFNEIiIiIiIqJyE0IwjZCIiIiIiMjZRHYOoNeblxWx7NkiIiIiIiIqN+s5tpRMIyQiIiIiIio/U4rVhMZMIyQiIiIiIio/Y0qabJnBFhERERERkRNYpxEy2CIiIiIiInICy0qEAIMtIiIiIiIip7AMtqSIcEhqtRtbUz4MtoiIiIiIyGNUljm2AAZbRERERETkQUwpKeb/KxlsEREREREROYcpxbJny3vn2AIYbBERERERkQcxMo2QiIiIiIjIuYQQ8jFbMezZIiIiIiIiKjeRmwfodOZlRQx7toiIiIiIiMrNsjgGwDFbRERERERETlGZJjQGGGwREREREZGHsKxECLD0OxERERERkVOYUlNly4qYGDe1xDkYbBERERERkUcw2qQRRrqpJc7BYIuIiIiIiDyC5ZgtKSwUkp+fG1tTfgy2iIiIiIjII5hSbqYRentxDMDDgy2DwYAXXngBtWrVQkBAAGrXro05c+bAZDKZ9xFCYPbs2UhISEBAQAA6dOiAY8eOyY6j0+kwfvx4REdHIygoCH369MHFixcr+ukQEREREVEJ5MGWd5d9Bzw82HrjjTfw/vvvY+nSpfj7778xf/58vPnmm1iyZIl5n/nz52PhwoVYunQpkpKSEB8fjy5duiAnJ8e8z4QJE7BlyxZs2LAB+/fvR25uLnr16gWj0eiOp0VERERERHZYphEqY7w/2FK5uwElOXjwIPr27YuePXsCAGrWrIlPPvkEv/76K4CiXq3Fixdj5syZGDBgAABgzZo1iIuLw/r16zF27FhkZWVhxYoVWLt2LTp37gwAWLduHRITE7Fr1y5069bNPU+OiIiIiIhkLIMtphG62D333IPdu3fj1KlTAIDff/8d+/fvR48ePQAAZ8+eRXJyMrp27Wp+jEajQfv27XHgwAEAwOHDh6HX62X7JCQkoEGDBuZ9iIiIiIjIvYQQlS7Y8uiereeffx5ZWVmoW7culEoljEYjXnvtNQwePBgAkJycDACIi4uTPS4uLg7nz5837+Pn54eIiAibfW483h6dTgedTmdezs7OdspzIiIiIiIiWyIvD0KrNS8rKkEaoUf3bG3cuBHr1q3D+vXr8dtvv2HNmjVYsGAB1qxZI9tPkiTZshDCZp21W+0zb948hIWFmX8SExPL/kSIiIiIiKhEJps5try/Z8ujg63nnnsO06ZNwyOPPIKGDRti2LBhmDhxIubNmwcAiI+PBwCbHqpr166Ze7vi4+NRWFiIjIyMYvexZ/r06cjKyjL/XLhwwZlPjYiIiIiILJhSGGxVqPz8fCgU8iYqlUpz6fdatWohPj4eO3fuNG8vLCzEvn370LZtWwBAs2bNoFarZftcuXIFf/31l3kfezQaDUJDQ2U/RERERETkGqbUVNkyqxG6WO/evfHaa6+hevXquOuuu3DkyBEsXLgQo0ePBlCUPjhhwgTMnTsXderUQZ06dTB37lwEBgZiyJAhAICwsDCMGTMGkydPRlRUFCIjIzFlyhQ0bNjQXJ2QiIiIiIjcyzaNkMGWSy1ZsgQvvvgixo0bh2vXriEhIQFjx47FSy+9ZN5n6tSp0Gq1GDduHDIyMtCqVSvs2LEDISEh5n0WLVoElUqFQYMGQavVolOnTli9ejWUSqU7nhYREREREVmxCbZivD+NUBJCCHc3whtkZ2cjLCwMWVlZTCkkIiIiInKyrBmzkbf4XQCAFBKMKlfPurlFxXM0NvDoMVtEREREROQbLMdsVYYUQoDBFhEREREReQDLaoSVYY4tgMEWERERERF5AMsxW5Wh7DvAYIuIiIiIiDyAZbClZLBFRERERETkHKYUizFblaASIcBgi4iIiIiI3MyUnw+Rn29eZoEMIiIiIiIiJ7Cd0Jg9W0REREREROVmWYkQYDVCIiIiIiIip7CcYwtgGiEREREREZFT2KQRskAGERERERFR+VlWIgRY+p2IiIiIiMgpLHu2pKBASAEBbmyN8zDYIiIiIiIitzLK5tiKcWNLnIvBFhERERERuZVlz1ZlKfsOMNgiIiIiIiI3Y7BFRERERETkApYFMhhsEREREREROYnlPFuVZUJjgMEWERERERG5kSgogMjNMy8rGWwRERERERGVn82ExkwjJCIiIiIiKj+j1YTGDLaIiIiIiIicwLZni2mERERERERE5Way7tmKYc8WERERERFRuXHMFhERERERkQtYln2XAgOhCApyY2uci8EWERERERG5jSnlZs9WZerVAhhsERERERGRG1mmETLYIiIiIiIichLL0u8MtoiIiIiIiJzEcsxWZapECDDYIiIiIiIiN5KlEcbEuLElzsdgi4iIiIiI3ELodBDZOeZlphESERERERE5gSk1XbasZLBFRERERERUfpbjtQBAER3tppa4BoMtIiIiIiJyC8tKhADTCImIiIiIiJzCsjgGAChi2bNFRERERERUbrZphOzZIiIiIiIiKjdTikXPlr8/pKAg9zXGBRhsERERERGRW1imESqjoyBJkhtb43wMtoiIiIiIyC1MFgUyKlsKIcBgi4iIiIiI3MSYymCLiIiIiIjI6SzTCBWxMW5siWsw2CIiIiIiIreQBVvs2SIiIiIiIio/oddDZGaZlxlsEREREREROYHNhMYMtoiIiIiIiMrPshIhACijo93UEtdhsEVERERERBXOpmcrlsEWERERERFRuRmZRkhEREREROR8plR5GqGCaYRERERERETlZ0qx6Nny84MUEuy+xrgIgy0iIiIiInKYEMIpx7EskKGIjoIkSU45ridhsEVERERERA7Jee1NXK1eF5lPTih30GVZIEMZU/lSCAEGW0RERERE5ADjpSvImbcAprR05K/5GLpvd5breJZjthQxla84BsBgi4iIiIiIHGA4dw4wmczLBdvLG2zd7NmqjMUxAAZbRERERETkAFNqumxZt2N3uVIJjbJgiz1bRERERETko6wnITb+dwGGU6fLdCxhMECkZ5iXGWwREREREZHPMqWl2azT7dxdtmPZTGjMNEIiIiIiIvJR1gESAOh27HHKsRSsRkhERERERL7KbrC1/yCEVlvuYylZjZCIiIiIiHyVvWALBQXQ/XigDMdKlS1zzBYREREREfksu8EWAN3O0qcSmlI4ZouIiIiIiAgAYEpLt7u+LMGWMcWiZ0uthhQWWtZmeTSPD7YuXbqEoUOHIioqCoGBgWjSpAkOHz5s3i6EwOzZs5GQkICAgAB06NABx44dkx1Dp9Nh/PjxiI6ORlBQEPr06YOLFy9W9FMhIiIiIvJalj1bUkCA+f+GU6dhOHe+zMdSREdBkqTyN9ADeXSwlZGRgXbt2kGtVuPbb7/F8ePH8dZbbyE8PNy8z/z587Fw4UIsXboUSUlJiI+PR5cuXZCTk2PeZ8KECdiyZQs2bNiA/fv3Izc3F7169YLRaHTDsyIiIiIi8i6m/HxZIQz/Pj1k20tbldByzFZlHa8FeHiw9cYbbyAxMRGrVq1Cy5YtUbNmTXTq1Am33XYbgKJercWLF2PmzJkYMGAAGjRogDVr1iA/Px/r168HAGRlZWHFihV466230LlzZ9x9991Yt24d/vzzT+zatcudT4+IyCvoT5yCMfmqu5tBRERuZD1eS9Opg6xce2lTCWU9W5W07Dvg4cHWl19+iebNm+Ohhx5CbGws7r77bixfvty8/ezZs0hOTkbXrl3N6zQaDdq3b48DB4qqohw+fBh6vV62T0JCAho0aGDexx6dTofs7GzZDxGRr8l+5Q2kNG2Haw1bovDI7+5uDhERuYlNQYvYGGg6dzQv6/b+AFFY6PjxLIItJXu23OPMmTNYtmwZ6tSpg++++w5PPPEEnnnmGXz00UcAgOTkZABAXFyc7HFxcXHmbcnJyfDz80NERESx+9gzb948hIWFmX8SExOd+dSIiLxC/oo1AACRlw/tp5vd3BoiInIXU5pVsBUVBU2X+83LIi8fhQd/cfx4VmO2KiuPDrZMJhOaNm2KuXPn4u6778bYsWPx2GOPYdmyZbL9rAfUCSFuOcjuVvtMnz4dWVlZ5p8LFy6U/YkQEXkhYTDAdC3FvGxiKiERkc+yTiNUxERB06kDYPH3tKOphMJolFU2ZBqhm1SpUgX169eXratXrx7+++8/AEB8fDwA2PRQXbt2zdzbFR8fj8LCQmRkZBS7jz0ajQahoaGyHyIiX2JKl79vWn+rSUREvsO67LsiKhLKmGio725sXlfgYLBlSksHhLh5rEo6xxbg4cFWu3btcPLkSdm6U6dOoUaNGgCAWrVqIT4+Hjt37jRvLywsxL59+9C2bVsAQLNmzaBWq2X7XLlyBX/99Zd5HyIismX9wWpKtT+/ChERVX4mi3mxpIAAKIKCAECWSmj48xiMl4sfpmM+lnUvGdMI3WPixIk4dOgQ5s6di9OnT2P9+vX44IMP8NRTTwEoSh+cMGEC5s6diy1btuCvv/7CyJEjERgYiCFDhgAAwsLCMGbMGEyePBm7d+/GkSNHMHToUDRs2BCdO3d259MjIvJolmV5i5bZs0VE5KuKG2Ol6Xq/bD/drlv3btlLSaysVO5uQElatGiBLVu2YPr06ZgzZw5q1aqFxYsX49FHHzXvM3XqVGi1WowbNw4ZGRlo1aoVduzYgZCQEPM+ixYtgkqlwqBBg6DVatGpUyesXr0aSqXSHU+LiMgr2PRspbFni4jIV8nGWEVFmv/v16IZpLBQiKyiyt0FO/cgcPiQko9l9WWeshKnEUpCWCRMUrGys7MRFhaGrKwsjt8iIp+Qt3w1sp59TrYuPuWcOXWEiIh8R2qnnuZqg5rOHRH15afmbemPjkbBlq8AAFJEOOLP/w1JVXyfTt77K5A1aZp5Of7iKSgiI4rd3xM5Ght4dBohERG5j72CGOzdIiLyTbKeLasxVv5dO5n/LzIyof/1txKPZbRMI1SpIIWHOaeRHojBFhER2WVvjJb1pJZEROQbjCXMi6XpLB+3VbCj5HFblmmEiqhISIrKG5JU3mdGRETlYq8Xi+XfiYh8jzAYIDIyzcuWY7YAQFm1ClQNbk7XdKv5tmTFNirxHFsAgy0iIioG0wiJiAi4Pu/iLebFsiwBr//tKIwpqTb7mI9XQi9ZZcNgi4iI7LKXMsjy70REvseRebH8LYItCAHdnn0OHY/BFhER+SS7aYQMtoiIfI51poMiOtJmH782LSEFBZqXS0oltJwgWck0QiIi8jVCCHm1qOsYbBER+R7bni3bAEnSaODX/l7zsm7X9xAmk81+wmSyqmzIYIuIiHyMyM8HCgps1nPMFhGR7zGlyt/7rQtk3GCZSmi6lgL973/aHis9A7AIwphGSEREPqe4HizLcr1EROQbZJ8JCkWxExBruspLwNtLJbTpJYthsEVERD7G+ltM83r2bBER+RxH58VS1aoJZZ3bzMu6HbtLPBbAni0iIvJBxc2nxWCLiMj3yMZYFZNCeINlKmHhz7/ClJklP1aKdbDFMVu3lJ2dja1bt+Lvv/92xuGIiMjNik0jTEuHMBoruDVEROROxlKUarecbwtGI3R7f5Btt55WhNUI7Rg0aBCWLl0KANBqtWjevDkGDRqERo0a4fPPP3dqA4mIqOIV24MlBEwZmRXaFiIici/ZvFi36Nnyu7ctoNGYl3U75OO2ZF/mKZWQIsKd0kZPVaZg64cffsC99xaVdtyyZQuEEMjMzMQ777yDV1991akNJCKiimed5iHbxvLvREQ+RT4Jcck9UYrAQGjubWNeLti5B0IIi2M5Nv6rsijTs8vKykJkZFFUu337djz44IMIDAxEz5498c8//zi1gUREVPFKGptV3HguIiKqfIQQpRqzBQCaLp3M/zddugzD3yfNy6VJSawMyhRsJSYm4uDBg8jLy8P27dvRtWtXAEBGRgb8/f2d2kAiIqp4lt9iSgEB8m0pDLaIiHyFyM0DdDrzsiOl2mXjtiAvAW9isHVrEyZMwKOPPopq1aohISEBHTp0AFCUXtiwYUNnto+IiNzAsvfKsoxv0TZWJCQi8hW2pdpvXdBCdWcdKBOrmZcLLIMtizR1RSUvjgGUMdgaN24cDh06hJUrV2L//v1QXM+1rF27NsdsERFVApYBleqO2622sWeLiMhXWM+76EgaoSRJ0HS9mUpYuP8gTHl5RcezDLbYs1W8Zs2aoX///ggODjav69mzJ9q1a+eUhhERkftYpnko42IhRUbY3UZERJWbdc+W0sEASZZKWFiIwn0/QZhMsi/zlJV8ji0AUJX1gRcvXsSXX36J//77D4WFhbJtCxcuLHfDiIjIPYTRCFN6hnlZERUJRVQkjNfXMY2QiMh3WL/nO9obpelwL6BSAQYDAKBg5274tW4BWMzV6As9W2UKtnbv3o0+ffqgVq1aOHnyJBo0aIBz585BCIGmTZs6u41ERFSBTOkZgEWZXkV0NJTRUTD+82/R9hLKwhMRUeVinc3gaICkCA2BX5uWKPzxAICiIhmmJx+T7+NAsQ1vV6Y0wunTp2Py5Mn466+/4O/vj88//xwXLlxA+/bt8dBDDzm7jUREVIFsv8WMhCIqqtjtRERUecmq0wYHQSpF5XHLVELjmXMoPPSLbDsLZBTj77//xogRIwAAKpUKWq0WwcHBmDNnDt544w2nNpCIiCqWTeWp62mEN7dzzBYRka+QlWqPKl1PlL9VCfj8Tz6TLTtS2dDblSnYCgoKgu56vf2EhAT8+++/5m2pqUwvISLyZjaVp6KjZake7NkiIvId5ZmEWNWoARRxseblwh9+km33hTFbZQq2WrdujZ9+KrpYPXv2xOTJk/Haa69h9OjRaN26tVMbSEREFcsmjTBKnkYo8vNhys+v6GYREZEbWH4mOFL23ZIkSdB06XhzhcV4YEgSFBaVbiurMhXIWLhwIXJzcwEAs2fPRm5uLjZu3Ijbb78dixYtcmoDiYioYsnSCK9/GFp/+2hKS4ciMLCCW0ZERBXN8jOhLAUt/Lt0gnbdRpv1iqhISEpludrmDcoUbNWuXdv8/8DAQLz33ntOaxAREbmX5beYUkQ4JJXK5ttMU2oakFitoptGREQVTN6zVfpgS3N/e0ChAEwm2XpfSCEEyjGpMRERVU6yCY2vfxhaD2JmkQwiospP6PUQmVnm5bIESIqoSKib204N5QuVCIFSBFuRkZHm4hcRERGIjIws9qd69ero3r07/vjjD5c1nIiIXENeeaqoR0sRbdWzxSIZRESVXlnn2LJmXZWwPMfyNg6nES5atAghISEAgMWLF5e4r06nwzfffINRo0bh8OHD5WogERFVLHtlfq1TR6zLwxMRUeVjWzCpbAGSpsv9yHltvvxYPlD2HShFsHVjXi3r/xene/fuaNasWdlaRUREbiPLz7/+zaMUHARoNMD1aT+sy8MTEVHlY92zpSxDgQwAUDdrAikyAiI9w7zOV3q2XDZmKzExEdeuXXPV4YmIyEXkwVZR+qAkSZzYmIjIx5jSrNIIy9izJSmV8O/UQbZOyWCreEajEQsWLEDLli0RHx9vM2aLiIi8kyk/H8JiDi3LNA/LbyGtP4CJiKjyMaU4Z8wWUJRKKDtWrG+kEZYp2Hr55ZexcOFCDBo0CFlZWZg0aRIGDBgAhUKB2bNnO7mJRERUUexNaGz+vyzYYhohEVFlZ7TMYlAqIYWHlflYmm6dIYWFmo+lbtm8nK3zDmUKtj7++GMsX74cU6ZMgUqlwuDBg/Hhhx/ipZdewqFDh5zdRiIiqiA232JaBFuWKR9MIyQiqvwssxgUUZGQJKnMx1LGRCPy848R+H8jEfnZWqh8ZK7GMk1qnJycjIYNGwIAgoODkZVVVH+/V69eePHFF53XOiIiqlA2+fmWaYSWY7bYs0VEVOnJqtM6YV4sTdvW0LRtXe7jeJMy9WxVq1YNV65cAQDcfvvt2LFjBwAgKSkJGo3Gea0jIqIKZZNGaDG/luXAaFNaOoTJVGHtIiKiiicrmBTFugxlUaZgq3///ti9ezcA4Nlnn8WLL76IOnXqYPjw4Rg9erRTG0hERBXHev4sy3FasoHRJhNERmYFtYqIiNxB1rPlI9UDna1MaYSvv/66+f8DBw5EYmIifvrpJ9x+++3o06eP0xpHREQVSzZ/lkYDKSjIvGjZywUUDZzmN51ERJWXvUnuqXTK1LOVZpHTf+HCBWzbtg1XrlxBeHi4s9pFRERuYP0tpuVgaMvxWwDLvxMRVWZCCLuT3FPplCrY+vPPP1GzZk3Exsaibt26OHr0KFq0aIFFixbhgw8+wP3334+tW7e6qKlERORq1pWnLFkvy3rBiIioUhFZ2YBeb172lUmIna1UwdbUqVPRsGFD7Nu3Dx06dECvXr3Qo0cPZGVlISMjA2PHjpWlGBIRkXcpKT/fepnl34mIKi/b6rQMtsqiVGO2kpKSsGfPHjRq1AhNmjTBBx98gHHjxkGhKIrZxo8fj9atfaucIxFRZWKZMmL9LaYiMsJqXwZbRESVlfUXagy2yqZUPVvp6emIj48HUDS/VlBQECIjb6aVREREICcnx7ktJCKiClNSmV9JrYYUHnZzX/ZsERFVWtap4iyIVDalLpBhPXN0eWaSJiIizyFMJqvB0LYTWFp+s8mJjYmIKi/bqUDKP6mxLyp16feRI0eaJy4uKCjAE088gaDrpYF1Op1zW0dERBVGZGQCFhMV2/sWUxEVBePpMwAAU0qqzXYiIqocjDZphOzZKotSBVsjRoyQLQ8dOtRmn+HDh5evRURE5BY2H6wxtvn5yugo3KhNxZ4tIqLKy/I9XgoNgeTn58bWeK9SBVurVq1yVTuIiMjNbCpP2ZnA0rK3i8EWEVHlZZlGyOIYZVemSY2JiKjyMaVYB1t20ggterus8/mJiKjysCyQYe/LN3IMgy0iIgJg21Nl75tMyw9ckZcPodW6vF1ERFTxSpp3kRzHYIuIiADYSSO0mlcLsO3tYiohEVHlVNJUIOQ4BltERARA/i2mFBEOSa222cf6203OtUVEVDnJxmzFsOx7WTHYIiIiAI59i2mdt29dwZCIiLyf0OkgcnLNy0qmEZYZgy0iIgIgnzeruPx863LwTCMkIqp8LItjAEwjLA8GW0REBEAeOCmLqTxl3bNlPc6LiIi8n3W1WUU00wjLisEWEREBsKo8Vcy3mFJIMGAxsaV1uXgiIvJ+ttVp2bNVVgy2iIgIgLyXyjpd8AZJkjixMRFRJWc9Hpel38uOwRYREUFotRB5+eblkiawtPzQ5cTGRESVj00aISc1LjMGW0RE5NCExva2sWeLiKjykRXIUKshhYa4rzFezquCrXnz5kGSJEyYMMG8TgiB2bNnIyEhAQEBAejQoQOOHTsme5xOp8P48eMRHR2NoKAg9OnTBxcvXqzg1hMReS7r+bJKqjwlSyNk6XciokpHNoY3OgqSJLmxNd7Na4KtpKQkfPDBB2jUqJFs/fz587Fw4UIsXboUSUlJiI+PR5cuXZCTk2PeZ8KECdiyZQs2bNiA/fv3Izc3F7169YLRaKzop0FE5JFs8/OLrzylZM8WEVGlJhvDy/Fa5eIVwVZubi4effRRLF++HBEREeb1QggsXrwYM2fOxIABA9CgQQOsWbMG+fn5WL9+PQAgKysLK1aswFtvvYXOnTvj7rvvxrp16/Dnn39i165d7npKREQepTSVpyxz901p6RAmk8vaRUREFc+6Z4vKziuCraeeego9e/ZE586dZevPnj2L5ORkdO3a1bxOo9Ggffv2OHDgAADg8OHD0Ov1sn0SEhLQoEED8z5ERL6uNIOhZR+8RiNEZparmkVERG7gyFQg5BiVuxtwKxs2bMDhw4fx66+/2mxLTk4GAMTFxcnWx8XF4fz58+Z9/Pz8ZD1iN/a58Xh7dDoddDqdeTk7O7vMz4GIyNPJBkP7+RXNp1UM614vU1o6FJERxexNRETeRjbJPXu2ysWje7YuXLiAZ599Fh9//DH8/f2L3c960J4Q4pYD+W61z7x58xAWFmb+SUxMLF3jiYi8iOUHqyIqssT3R+vxXEaWfyciqjSEyST/TChhDC/dmkcHW4cPH8a1a9fQrFkzqFQqqFQq7Nu3D++88w5UKpW5R8u6h+ratWvmbfHx8SgsLERGRkax+9gzffp0ZGVlmX8uXLjg5GdHROQ5LNMIb5Wfb51SIusVIyIiryYyswCLInJMIywfjw62OnXqhD///BNHjx41/zRv3hyPPvoojh49itq1ayM+Ph47d+40P6awsBD79u1D27ZtAQDNmjWDWq2W7XPlyhX89ddf5n3s0Wg0CA0Nlf0QEVVW8m8xSxtssWeLiKiysJkKJIZphOXh0WO2QkJC0KBBA9m6oKAgREVFmddPmDABc+fORZ06dVCnTh3MnTsXgYGBGDJkCAAgLCwMY8aMweTJkxEVFYXIyEhMmTIFDRs2tCm4QUTkq0ozGNo6GGP5dyKiysOYZj3vIoOt8vDoYMsRU6dOhVarxbhx45CRkYFWrVphx44dCAm5OdP1okWLoFKpMGjQIGi1WnTq1AmrV6+GUql0Y8uJiDxHaQZDS2o1pLBQiKxsm8cSEZF3M6VYz7vIYKs8vC7Y2rt3r2xZkiTMnj0bs2fPLvYx/v7+WLJkCZYsWeLaxhEReSGbwdAOfIupiI6C8UawxTRCIqJKwyaNkGO2ysWjx2wREZHr2QyGduBbTNnExiyQQURUaZhs0ggZbJUHgy0iIh9nnQZoPY+WPZYBmfW3oERE5L0s39OliHBIarUbW+P9GGwREfk463myHJlTxfKbTo7ZIiKqPKznXaTyYbBFROTjrNMAHflwlfdsccwWEVFlYUpxfN5FujUGW0REPs46WHIk2LKsWChy8yAKCpzeLiIiqniWaYRKln0vNwZbREQ+znbMliMFMqwmNk7LcGqbiIjIPUozyT3dGoMtIiIfJxsMHRbq0GBo63FdTCUkIqocZJPcxzDYKi8GW0REPs6yzK+j32JaVyxkkQwiIu9nys+HyM83Lzsy7yKVjMEWEZGPsyyQ4egHq3VQZmT5dyIir1eWtHIqGYMtIiIfJ0sZcbRnyyoos54Ek4iIvI/1vIks/V5+DLaIiHxcWeZUkUJDAIuxXaYUBltERN7OJthyYN5FKhmDLSIiH2dZ3MLRni1JkjixMRFRJWMbbLFnq7wYbBER+TBRUACRm2deVpYiP182sTHTCImIvJ71eznHbJUfgy0iIh9mWRwDKF1+vizYYoEMIiKvJ0sJ9/eHFBTkvsZUEgy2iIh8mO23mI7n5zONkIiocrEewytJkhtbUzkw2CIi8mG2ZX7L2LOVwkmNiYi8nWWWQmnSyql4DLaIiHyY9fxYpcnPtyz/bkpLhxDCae0iIqKKV5aCSVQyBltERD7MJo3QwUmNAUBpOb7LaITIzHJWs4iIyA1kaYQMtpyCwRYRkQ+TDYZWq4vmz3KQIoYTGxMRVSZlmeSeSsZgi4jIh5VnMLR1LxiLZBAReS9hNMKUnmFeLk11Wioegy0iIh9Wnvx86/1lvWRERORVTOkZgMXY29JUp6XiMdgiIvJh5cnPt+3ZYrBFROStylOdlorHYIuIyIdZpxGWhvUHsXVlQyIi8h6WmQ4Ax2w5C4MtIiIfZjk/Vmk/WCU/P1lBDY7ZIiLyXibrqUBKUZ2Wisdgi4jIRwkhrHq2Sv/BKptrK5UTGxMReStTqnUaIYMtZ2CwRUTko0RmFmA0mpeVZag8ZflhbP1BTURE3kP2hZkkQREZ4b7GVCIMtoiIfJTNhMYxZenZuhmgMY2QiMh7yTIdIiMgKZVubE3lwWCLiMhHOSM/X96zxQIZRETeihMauwaDLSIiH+WM/HxZsMXS70REXksWbHFCY6dhsEVE5KNs0gjL2bMlsnMgdLpyt4uIiCqevGeLExo7C4MtIiIfZT0vliKq9IOhrYtqmNIyytUmIiJyDyPTCF2CwRYRkY+yHAwthYZA0mhKfQzr3jCWfyci8j62U4EwjdBZGGwREfkoy8CorJNXWlcwZEVCIiLvI/LygIIC83JZqtOSfQy2iIh8lGWBjLKmjFh/+8mKhERE3sf6i7KyfgFHthhsERH5KGdUnrIeRM1gi4jI+5hSrMbwcsyW0zDYIiLyUbL8/DJ+sEphoYBKZV42Mo2QiMjrWI+3Zc+W8zDYIiLyUZal38scbEmSrFeMBTKIiLyPTRohx2w5DYMtIiIfJHQ6iOwc83J5Kk/JJzZmzxYRkbexTgFnNULnYbBFROSDrOfDUpYjP1/es8UxW0RE3sYy00EKDIQiMNCNralcGGwREfkgZ+bns2eLiMi7WRbIYHEM52KwRUTkg5yZn28ZqJlSOGaLiMjbOKM6LdnHYIuIyAc5Mz/fumdLCFHmYxERUcUzOqFgEtnHYIuIyAfZBFtW82WVhiLaIlAzGGSFN4iIyPPJerZiyv55QLYYbBER+SDZfFhKZdF8WWWktJnYmKmERETeRDbvItMInYrBFhGRD7IMiBRRkZAkqczHsv5gZpEMIiLvIfR6iIxM8zLTCJ2LwRYRkQ+SfYtZzpQRm2ArheXfiYi8hSldPhVIearTki0GW0REPsiZlaesx3tZztdCRESezXYML4MtZ2KwRUTkg2Q9W+X8YJUVyABg5MTGRERewzbY4pgtZ2KwRUTkg+Q9W+ULtiSNBlJI8M1jc8wWEZHXsM5GsC56ROXDYIuIyMcIIZzaswVYTWzMni0iIq9hPc6WaYTOxWCLiMjHiOwcQK83LzsjZUQ2sTGDLSIir2GyngokPMx9jamEGGwREfkY63mwnFF5yrLIBtMIiYi8h81UIAqGB87Eq0lE5GOsgyGlM9IILXrHOKkxEZH3MDqxOi3ZYrBFRORjbPLznfDhaln+nT1bRETew9ljeEmOwRYRkY+xrjxlPU9WWVgGbCIrG6KwsNzHJCIi15NVp2Ww5XQMtoiIfIx1z5OzC2TYOwcREXkmZ04FQrYYbBER+RjL/HwpJBiSRlPuY1p/QDPYIiLyfEII9my5GIMtIiIf44pvMZUxVsEWy78TEXk8kZPr9KlASI7BFhGRjzG5oPKUbc8Wgy0iIk9nMxWIE8bwkhyDLSIiH+OKylPWQZt1xUMiIvI81lkILP3ufB4dbM2bNw8tWrRASEgIYmNj0a9fP5w8eVK2jxACs2fPRkJCAgICAtChQwccO3ZMto9Op8P48eMRHR2NoKAg9OnTBxcvXqzIp0JE5DFkE1g6KWVECg8DlMqb5+CYLSIij2dKdf68iyTn0cHWvn378NRTT+HQoUPYuXMnDAYDunbtiry8PPM+8+fPx8KFC7F06VIkJSUhPj4eXbp0QU5OjnmfCRMmYMuWLdiwYQP279+P3Nxc9OrVC0aj0R1Pi4jIreQ9W85JGZEUCtk3okZObExE5PGYRuh6Knc3oCTbt2+XLa9atQqxsbE4fPgw7rvvPgghsHjxYsycORMDBgwAAKxZswZxcXFYv349xo4di6ysLKxYsQJr165F586dAQDr1q1DYmIidu3ahW7dulX48yIicheh10NkZZuXnZkyooiOgulaCgD2bBEReQNXTAVCch7ds2UtKysLABAZWXQjnD17FsnJyejatat5H41Gg/bt2+PAgQMAgMOHD0Ov18v2SUhIQIMGDcz72KPT6ZCdnS37ISLydq7Mz7c8FoMtIiLP54qpQEjOa4ItIQQmTZqEe+65Bw0aNAAAJCcnAwDi4uJk+8bFxZm3JScnw8/PDxEREcXuY8+8efMQFhZm/klMTHTm0yEicgvbbzGdlzJiWWyDpd+JiDyfKcViDC8nNHYJrwm2nn76afzxxx/45JNPbLZJkiRbFkLYrLN2q32mT5+OrKws88+FCxfK1nAiIg9i07PlxJQRyw9qBltERJ7PFdVpSc4rgq3x48fjyy+/xPfff49q1aqZ18fHxwOATQ/VtWvXzL1d8fHxKCwsREZGRrH72KPRaBAaGir7ISLydtbzXymd2bNlmUaYmgYhhNOOTUREziebd5HBlkt4dLAlhMDTTz+NzZs3Y8+ePahVq5Zse61atRAfH4+dO3ea1xUWFmLfvn1o27YtAKBZs2ZQq9Wyfa5cuYK//vrLvA8Rka+wnv/KqWO2Yiw+qPV6iJxcpx2biIicz/ILOBbHcA2Prkb41FNPYf369fjiiy8QEhJi7sEKCwtDQEAAJEnChAkTMHfuXNSpUwd16tTB3LlzERgYiCFDhpj3HTNmDCZPnoyoqChERkZiypQpaNiwobk6IRGRr5CN2VIqi+bHchLrfH9TaioUoSFOOz4RETmXvGeLZd9dwaODrWXLlgEAOnToIFu/atUqjBw5EgAwdepUaLVajBs3DhkZGWjVqhV27NiBkJCbH/CLFi2CSqXCoEGDoNVq0alTJ6xevRpKiwk4iYh8gexbzKhISArnJThYp6CYUtOB2rWK2ZuIiNxJFBZCZN+cl9aZmQ50k0cHW47k+0uShNmzZ2P27NnF7uPv748lS5ZgyZIlTmwdEZH3sSzz6+wPVqXV8azHhxERkecwpcqr0yo5ZsslPHrMFhEROZcrK09Zp6CwIiERkecypabKlln63TUYbBER+RCTC3u2FFHy+Qw5sTERkeeymXcxhsGWKzDYIiLyIa4cDC0FBEAKCrR7LiIi8iy28y4y2HIFBltERD5CCOHSni1AHsAx2CIi8lw2wRbTCF2CwRYRkY8QObmAXm9edkXKiGUAZ2SwRUTksWTv0SoVpLBQ9zWmEmOwRUTkI6yrA7riW0zLNBSO2SIi8lzWmQ6SJLmxNZUXgy0iIh9hSrEOtlyRRmgZbLFni4jIU8nmXYzhhMauwmCLiMhHWAc/rphTRRZsMY2QiMhjyQsmcbyWqzDYIiLyERVRecqyt0xkZkFYjBEjIiLPIZt30QWZDlSEwRYRkY+wmVPFxWmE9s5JRESewZRyc1Jj9my5DoMtIiIfYdmzJQUFQgoIcPo5rItuMNgiIvI8Qgirni0GW67CYIuIyEe4ckLjm8eV95Zx3BYRkecRmVmA0WhedsUYXirCYIuIyEdURH6+0iqIY0VCIiLPYzuGl2O2XIXBFhGRjzBazaniCtbHNaUyjZCIyNPYzLvoomwHYrBFROQzKmJOFSkiHFDc/GhhGiERkecxWs+7yDRCl2GwRUTkI0wV0LMlKRSyYzONkIjI89j0bLH0u8sw2CIi8gFCry8aEH2dK7/F5MTGRESerSLmXaQiDLaIiHyA7RxbLgy2LL4hNbL0OxGRx5FNBRIWCkmtdmNrKjcGW0REPsAm2HJlz5ZlGqHFpJlEROQZZGN42avlUgy2iIh8gG2w5br8fMuqVpzUmIjI85hSLMfwMthyJQZbREQ+wJQq72GqqDRCU1o6hBAuOxd5J1NeHgp27IbhvwvubgqRT5LNu8ieLZdisEVE5AOs57tSujKNMMbi2DodRG6ey85F3kUIgfyNn+Nao9ZI7/cIrt3VAnmr1rq7WUQ+x3LMlis/D4jBFhGRT5BVnlIoiubDchHrXjOWfycA0P/+J9K69EbmqCdgupJctNJoRNZTk5AzdwF7QIkqEMdsVRwGW0REPkD2wRoVCUnhurd/6w9uUwqDLV9mSktH5rNTkdKuMwoP/Gx3n5xX30DW+CkQBkMFt47I9xjOnJVlHDDYci2VuxtARESuVxETGhd3fPZs+SZhNCJ/xUfInjMPIj1DvtHfH/5dO6Hgy23mVfkrP4Lp6jWEr/kfFIGBFdxaorIRQkDk5sGUkgKhLYAoLAT0+qJ/C4v+FYV6QH/93+vLQn9zOwxGKBOrQlX3Tqjq3gFFSLDz2mc0wnD8BAoP/IzCgz+j8MDPMF68JNuHExq7FoMtIiIfYDnflcuDLeueLU5s7HN0Px1E1qTpMPx5zGabf9+eCH19DlQ1qiNv9TpkjZ8CGI0AgIJt25HWcyCiNq3jH4DlJPR65K9ZD+3mL6CqVRMBgwbA7542kJRKdzfNK4jCQpiupcCYfA2mq9dgvHrj36sWyykwXb0GkZ/v1HMrq1WFqu4dUNUrCr7U9etCdecdUISH3brdBQUoPHykKLj66RAKf06CyMou8TGqO+9wVtPJDgZbREQ+QNaz5eKUEdueLZZ/9xXGS1eQPXM2tJ9uttmmqnsHQt98Df6dOpjXBY0cCmVcLDKGPWb+g1X/cxJSO/VE5BcboapRvaKaXmkIIVDwxdfInvUajP/8CwAo3Psj8lethSKhCgIe6o+AQQOgbtIIkiS5ubXuJ0wm6A8fhW7nHhQe/BnGy1dgvHrNtje2AhkvXoLx4iXodn0vW6+oEg9VvTuhrntHUS9YvTugrJ4Iw5/HUXjwEHQ/HYL+t9+BwkKHziMFBCDwiTFQt2jqiqdB1zHYIiLyAfI0QhcHW4GBkAIDzX88M42w8hM6HXKXvI/cNxZC5Mm/5ZdCQxAycyqCnhgDSa22eax/966I+nYL0h8cYr5PDadOI7VDd0Rt3QB144YV8hwqA93+A8ieOQf6pMN2t5suX0He2+8h7+33oLrjdgQ8PBABg/pDdVvtCm6pexmvXoNu917odu6Bbvde9/e+SxLgQIEY05VkFF5JRuGefWU6jSI6Cn5tWsGvbSv4tW0NdZOGdn8nybkYbBERVXJCiAqfU0URHQXjf9eDLRbIqNQKvtmBrKkzYTxzzmZbwLDBCJ3zApRxsSUew69FU0Tv3oa0vg/DeO48AMB09RpSu/ZB5IY10HS8zxVNrzT0x/5G9ouvQLd9p802KSgQQlsAmEyy9YZTp5HzyuvIeeV1qJs3RcDDAxDwYD8o4+MqqtkVRhgMKPzlV+h27IFu5x7oj/xetgNJEhQx0VDExUIZFwtF/PV/42KhiI0tGmvop4bk51f0r9oPkp8a8LP4V62GpNHc3E+lAoxGGM+dh/7vUzCcOAnDiVMw/H0ShpP/QGi1ZX7eyto1iwKrNq2gadcGyjq3sTfTDRhsERFVciI3D9DpzMuKaNePhVFERcJ4fcJaphFWToYLF5H1zHPQfbfLZpu62d0Ie2se/Fo2c/h4qjq3Ifr7b5DefzD0R/8AAIicXKT1ewThy5cicNAAp7W9ogijEYX7D0K7YRMKf/kViqhIaDp3hH/XTlA1alDuqqCGCxeR88ob0H680bZnxM8PQU/+H0KemwCh10P7+VZoN2622+ul//U36H/9DdnPvwRNx/sQMGgA/Pv0hCIstFztcyfjxcso2FUUXOn27LvluCWgKNVV1aC+OYCy/lcRHQVJ5YI/nVUqqG6/DarbbwN6dzevFkYjjP9dgOHvU9CfOFkUiF0PyKx7kKFQQN2owfVeq6IAS1kl3vltpVKTBCe2cEh2djbCwsKQlZWF0FDvffMhIt9jOHce1+o3Ny+Hr1yGwEcGuvScaX0fhm7nHgCAunULxOz5xqXno4plTL6K1PYPwHjhomy9IiYaoXNeQMCwwWUOJEw5uch4dBR0u/bK1ofOexnBz44ra5MrjBAC+qN/QLvxc2g/23JzTjEritgYaLp0hKZLJ2jub1+qiWVN6RnIeesd5L23XPZFCgBAkhAw5CGEvDgNquqJNo81nDkL7aebod34OQwn/yn+JBoN/Ht0hbrBXeZeGElt1UtzvfemuN4cRWgoFJHhkPz9HX5upSG02puFK64XsjCcOQvd7r0wHPv7lo+XQoKh6dgemi73Q9P1fqgSq7mknc4mTCYYL12G4fgJGC9cgrJmdfi1bA5FaIi7m+ZTHI0NGGw5iMEWEXmrwqTfkNq+m3k58ouN8O9yv0vPmTFmHLSffAYAUNa5DXG/H3Lp+ajiiIICpD7QH/pffr25Uqks6kWZ8ZxDFdNueY7CQmSOmwjt+k9l64PGP4HQeS+XOZATQkBkZkEKDnL6WBXDv2eg3bgZ2k8/h+HU6dI9WJKgbt4Umi73w7/r/VA3u9tu1UCh1SJ32YfIXfA2RGaWzXZNt84InfMC1A3vuuUphRAw/P4n8j/dDO2nm2G6fKV0bS4FKSAAUkQ4FJERUESEQxFR9K9kuRxpsT4sFCIzy6ICoP1/RXZOqduiatQA/l3vh6ZrJ/i1asExS1RmjsYGTCMkIqrkrAtUuLpARtE5bqYqun3wOTmNEAKZT02SBVqqO+sg4uOVUNev67TzSH5+CF++FMqEeOQueMe8Pm/J+zAlX0X4B0uKxr0U00bTlaswnDkD479nYfj3LAz/noHh37Mw3pjMVa2Gqs5tRWljde+Euv6dRdXdbq9d1EPjIGPy1Zvpeb/+VvyOCgX87mkD45Vkc4VAq0ZDn3QY+qTDyJ37JqSIcGg6dYB/l/uh6dwRitgYaD/eiOxX3oDp0mWbh6ub3Y3Q12ZBc187h9suSRLUTRohrEkjhL7yIgp/OlTUG7flS7uBXHkIrRZCq3VpQFcc87Xs2gmaTh2YWkcVjsEWEVElZz1mShFTMQUybhAZmRAGg2vGOhD0fx1H3rsfQHVnHQQ9Pdal1zl3wdvmHkugKKiO3Lweqlo1nX4uSZIQOudFKKtUQdaUGeYxSdrPtsB4LQXhb78J45VkcxBlOH0GhjNnYTxz7tbzHun1MBw/AcPxE/L1SiVUt9c2B2HmMtt33G5OhTNlZaPgy23QfroZuu9/sCk8YUndohkCHnkQAQP6mouEGM6eg27HHhTs3IPCfT/ajr1B0e9MwaatKNi0FUDR75O9Ly2Ut9dG6Msz4d+vd7kKH0hKJTT3tYPmvnYIWzgPup3fI//Tz6Hb9T1ETq55HjSvoFJB3aQRNF07ldhLSFRRmEboIKYREpG3yn37PWRPn2Vejk89X1Q1y4XyVnyErPGTzctxZ4/dsiIdlV7B7r3IeGSE+Q92/z49EbHmf8X2+pSH9ottyBg88uYKtRpR2zZBc09bp5/L5txbvkTG6HG245MqikIBZe2aUFZNQOGhpBLbobqzDgIefhABgwZAVbtWiYcVOh0KD/yMgp1FhRwcGWcEFI33CpnxHAJHDa2QNDhhNAJ6PUShHqKwECjUQ+iv/1tYWLROb7GtsBCiQAeRnQ1TRiZMaelF/2ZkwJSRCZGeYV4WObkOtUERFVlUpMJO4QpzAYu4WCgiI8pdeITIEUwjJCIiAPI0Qikw0OWBFmBbXt6Ulu7xwZbh1GnkrfwIBV9/C2X1RARPeAqaLvd7bKlk7edbiwIQvd68ruDLbUgfOBQRG1ZDERTktHPpf/8TmWPkxSnC3p5fIYEWAAT07wNFTDTSBw0vfYqbnx9UtWpAWbsWVLfVgrJ6NZiupZgrvBnPnLv1HEcmE4ynz8B4+ozdzYqEKggYNACBgwZA1bihw/eMpNFA0/G+otL2c2fDePGSOfDS7dlnMyZJCg5C8ISnEfTME1AEBzt0DmeQlEpAqXRJoQuh118PvDIhMjJgSs+EKSurqLhGXCyU8bFQxMaUKr2TyJMw2CIiqkCm3Nyb86xU1DlTLCc0dn3Zd8C2vLynTmwsCgqg/WIb8ld+hMIfD5jXG8+cQ/reH6Fu3hQh0ydD80AXjwq68j5YhayJz9sNEnS79yKt90OI2vyJU4pVGJOvIv2hYbLUvKBnnkTQyKHlPnZpaO5pi+hdXyOt78O245b8/aGqXROq2rWgvK0WVDcCq9tqQVmtaolpZEKrheGff6E/caootfDE9bmO/j1bYvqcFB6GgP59EPDwg/Br19opqWrKalURNGoYgkYNg9DrzXNDFSYdhrpxQwRPfBrK2Jhyn8eTSGo1lLExle55Ed3AYIuIqAKYcnOR/fxLyF/7CRRRkQhfvhT+nTtWzLkreELjovNEy9vgYUUy9Cf/Qf6qtdB+vLHEecD0v/6G9AcfhfruxgiZPgWant3cGnQJIZA7dwFyXpsvW6/p0Q2F+w+Ye0L0h5KQ2q0vor76rFx/xIqCAqQ/PALGi5dunqtbZ4S+NquER7mOun5dxBzcA+1nmyFp/KG6rSioUiRUKXPqmBQQAHWjBlA3aiBbL3S6onFgJ06aJ5s1nr8AVe2a8B/YH/5d73fplyaSWg1NuzbQtGvjsnMQkesx2CIicrHCXw4jY8yTMP57FgBgunoN6Q8NQ+TGNfDv2snl5zemppr/X2E9W1bnMaW6f2Lj4nqxrKnq3QnDP/8CBoN5nf7I70gfNAyqRg0QMn0K/Ht3r/BxIcJkQvaUGch7f4VsfdAzTyJ07mzof/8T6X0fNge2hj+PIbVLb0Rv+xzKalVLfz4hkDluomwSXFW9OxGx5gO3FhxQRkch+MnHXH4eSaOB+q56UN9VDwEuPxsRVVYcQUhE5CLCYEDO3AVI7dTTHGiZ6XRIHzQcBd/ucGkbjNdSisakXFdhPVsR4YBFD1D+2k9QeOT3Cjm3Nf3Jf5A17SVcrdMYmaOesBtoSSHBCPy/kYj+aRdiD+9H7J8/I3D0cMCq+IDhj7+QMXgkUtrcX1Qiu4RKdM4kCguROeoJm0ArZM4L5nmn/O5ujKgdX0JhUdra+M+/SO3UC4bTdsqN30Lum4uh3bDJvKyIikTkpnWcOJWIqBRYjdBBrEZIRKVhOHsOGWPGQX8oSb7B3x8oKLi5rFYjcv0q+PfsBmcz/PMv0vo9AuPZc+Z1wZPGI/TVl5x+Lnuu3tFEln4GAAEPP4iQWdOhqlnDpec292KtWIPC/QeL3U/dtAkCxwxHwEP97RYcMFy4iNwF7yB/zcdAYaHNdlX9ugiZNgn+/fu4rLfHlJuLjCGjoNu19+ZKhQJhSxYgaNQw2zafO4+0XgPlQXZsDKK++syhyW4BQLv1a2QMGXVzRQVWHiQi8gaOxgbs2SKqBIQQyF+3ASltOyH1gX7Q//6nu5vkEO2WL3GtZXuk3N8D2k1bisoLeznza9G6o02gFTBoAOJOHUXAww/eXKnXI33IKGi/+tap7dAdOISUjt1lgZYiOgqBoyquqEHw9MmAVaqdduPnuNa4DbKemwljSmoxjywbIQT0R/9A1uTpSL69UVEvlp1Ay7IXK2b/TgSNGlZsZTdVYjWEvz0fcX8lIejJ/wOsxugYjp9AxvDHkdLiPuRv/Nzp97ApLR1pPQfKAy2NBhEfr7QbaAGAqmYNRO/8CiqLSYZN11KQ2q0vCi0mIy6O/ugfyPy/p2Trwt95k4EWEVEZsGfLQezZch9TZhagVEIRUnFlbr2J/vgJZD37HAp/OmReJwUGIvzDpQjo19uNLSue0OmQNe0l5P9vpWy9qu4dCH5+EgIG9nNdL0FGJvI/Wg/tp5shhYYgYEBf+PfvDaUT0utM6RnIHD8ZBVu+kq2XQkMQ9vabCLweZAmjEZljn4F2/ac3d1KpEPHRcgT061Xudmg3bUHG/z0t64lR3l4bUVs33HLeH2fTnziFnFmvoeCrb2y2SSHBCJ40HkFPjy1XmXLjtRRoN36O/HUbYPjzWLH7qZvdjcDRw4rtxXLoXJeTkbt4KfI+XCPvobxOWec2BD8zDv69u5e7uprx4iWk9RkEw4lT5nVSSDAiP1sHzX3tbvl4U1o60vo9Av3hIzcfHxSIyE/XFpUat3fOK8lIua+brNpf0LPjEDbv5XI8EyKiysfR2IDBloMYbFU8U04ucl6ei7z/rQQkCUGPjUTIjOcqbIC/KS8PkkIBKcAzh0ab8vKQO+8t5L6zTDaQ31LwjOcQMmOKR03waDhzFhlD/w/6o38Uu4+yzm0IeX4SAgYNgKRyTh0f/Z/HkPf+Cmg3bILQauUbVSpoOndEwCMD4d+zW5n+8Nft2YeMx56G6UqybL3fPW0Q/uG7UFVPlK0XRiMyn5wA7boNN1cqlYj46AME9O9T6vMD1yvVLVyCnBdfkbehTUtEfrq2wn537Ck89AuyZ76MwoO/2GxTxMUiZOZUBI581OHXWxQWomD7LmjXbUDB9p3F/g5IIcEIeHgggkYPg7pJo3I9B0vG5KvIffs95C9fLSuJfvPEEtStmsO/5wPw7/kAVHfWKVUVQ/3Jf5De+yFZGqYiJhqRWzfA7+7GDh/HlJOL9IGPysep+fkhYu2HCOjdXbav0GqR+kB/WUEMzQNdEPnZWrcWxCAi8kQMtpyMwVbFKvhmB7ImTLUZ7yFFhCNk+mQEPT7aZRMcGs6dR+6bbyP/442AENC0bwf/nt3h37NbmSp6OZsQAgVffYvsKTNsro89/v16IXz5UqdOcFpW2q1fIfOJZ+UTdUoSJH9/2wAIgPK2WgiZOhEBjwyEZFWowBFCr0fBV98gb9mHsp6/kkiBgfDv3R0BgwZA07njLc8rdDpkz3oNee8sk29QqRDy0jQET3y62D9UhcmErHETkf/R+psrlUpErFqGgIH9HWqv+VgGA7ImTkP+ijWy9f4D+yHigyUumYy0tIQQ0G37DtkvvSLrrblBdcftCHn5Bfj36VFsYKL/4y/kr9sA7YZNJZaT92vTEgFDHylXL5YjjNdSkPfOMuT9bwVEnp2g6zrl7bWvB17d4Ne6ZYlBZWHSb0gfMFhWkl5ZozqivvoUqttvK3UbhVaL9KH/B51lMRalEuHLlyLwkYFF+wiBzFFPQPvpZvMuqvp1Eb3nGxbEICKyg8GWkzHYqhjG5KvImjIDBZu/LHE/5e21EfrabPj3esBpc94YzpxF7vzFyF//abHfkqsbN4Sm5wMI6PUAVI0bVvh8O4Zz55E1aTp023fabNN064ywBa8hf9U65C5cItumatQAkZ+thSqxWkU1VUbodMie+TLy3lsuW6+IjkL4ymVQN2pQ4h+sylo1EfzcswgcMsihINt49RryV65F3oerbXqazOeumgDo9TBdSyn2OIqoSPgP6IuAhwcU/YFs1UOoP/Y3MkY/aZO6prrjdoSvfB9+TW/dAyFMJmSNn4L8VWstTqxA+Ir3zGmHt2LKyUXGsP+Dbsdu2frgyeMR8vILHtWzCRQFhvnrNiDnlTfsvj7qVi0Q+tpL0LRtDQAwpqZB++nnyP/oExj++KvY4yqqJiBwyCAEDn0EqjqlD0rKw5iahrwl7yNvxRqI9IwS95UiI+D/QBf493oAmk4dZSnSBbv3IuOREbLfA9Vd9RD1xadQJsTbO5xDhF6PzP97CtrPtlg0RELYojcQ9Pgo5LyxEDkvzzNvUkRHIfqH71xeyISIyFsx2HIyBluuJUwm5K/+GNkvvAyRmSXbpqyeCMlfA8Op0zaP82t/D8JenwN144ZlPrfh9L/Imb8I2k82AaUY3K6omgD/nt3g3/MBaO5r59LJLYVOh9zF7yLnjUU240SU1aoidMHconl/rgd/+Z98hsxxEwGd7mZ7Y6IRsWE1NG1auayd9hjOnUfGsMdk40YAwK9da0Ss/gDKqlXM64ypaUVB1/sfQuTm2RxLWT0RwVOeReDwwTZBlxAC+qTfkPf+h9B+/gWg19ttj1/7exA0dgz8ez0AANDt/RHaTz9HwRfbIHJyi30eyuqJCBjUHwGDHoSqfl3kLVuO7BdekV1jAAh8bBRC582GIjCw5Atj2XaTCVkTnkf+h6tvrlQoinoeBj9U4mONl5OR/uAQeVEUhQJhi+cj6P9GONwGdzDl5yPvveXIfesdiKxsm+2a7l0hqdVF5fGLeT3h74+APj0QMGwwNB3udXu6mzAYUHjwZxR8vR0FX2+XFSixy88Pmvb3wL/nA4CfGlnPTpU9V3XrFoj6fH1RKf3yts1oRNazU5G/8iPZ+oBBA2Q9WlCrEfXN55xMl4ioBAy2nIzBlusYTp1G5tOTbKuGKRQIGv8EQl6YCsnPD/kfrkH2a/NtvzWWJAQOG4yQWdOhrOL4N7/6k/8gd/4iaDd+DtiZK0fdohnU9e5EwfadJfZ+AEXjQjRd7i9KE+rWGYrICIfbcSu6vT8ia8JU22BTpSq6PtMn202TKkz6DekPD4cp+erNlWo1wt95E4EjHnVa+0qi/fIbZD7xjE0AHTzlWYS8NK3YVCpTegZyl/4Pee99IE85vE5ZrSqCJz+DwJGPAkJAu2kr8t5fAf1vR+0eTwoMRMCQQQgaOxrqu+rZ3UdotSj4dge0Gz5HwXe7iv/jHkVltK3vCUVMNMKXvQ3/Hl2LfVxJhBDImjRNXjREkhD+v3cQOPQRu4/R/3Uc6QOGyNJJpaBARKz9EP4PdClTO9zBlJaOnAVvI2/Zh3bLq9ujbtUCgUMfQcCDfaEID3NxC8tGCAHDiVMo2FYUeOmTDgOl+MjVdOuMiI9XlCpwd6RN2S/MQd6ipcXuE/7+2wgcPsRp5yQiqowYbDkZgy3nE4WFyH1rCXLeWGjzB5a6cUOEvbvIJg3LlJGJnDcWFv1RZvXHsBQUiOBJzyDo2SdL/ONE//dJ5L7+FrSbttr9w8evTUsEz3gOmvvbQ5IkCJMJ+l9/K/qm+pvvYDh+ouQnplTCr20raNrfC2XN6lAmVoUysRqUCVVKNc7MmHwV2dNnFQWD1m1s1xphi+cXGziYj3HpCtIfHm4ThAQ9PRahc2c7rfiENVFYiOwXX0Hekvdl6xVRkQhf8R78u3Zy6DimjMyino93/2cTsAEomrxVry927I7ytloIGjsagUMHl+oPclNGJrRbv4L2080o/OGnW/6BrHmgC8KXLYYyLtbhc9gjhED2czPl6ZaShPD3FtkEyLo9+5A+ZJQsGFXExyHy849LVUDBkxj+u4CcV16Hdv1ndq+5oko8Ah8dhIBHH4H6zjpuaGH5GJOvomD7Tui2fQfdnn12xyneEDD4IYS//3aZxireihACuW8uRs7suTbbgiY8hbC5s51+TiKiyobBlpMx2HKuwkO/IPOpSTD8fVK2XgoIQMiLzyPo6bElBgKG0/8i+4VXUPDlNpttiqoJCH3lxaJKdhZjVfR/HUfO628VleW2F2Td0wYhM56DX/t7ShyLZThzFgXbvkPBtu1FRRccTT2UJCji44oCr8SqUFZPhKpa1ZvLidUgRYQDJhPyP1iF7Jfn2vTqKKKjEDp3NgIefdjh8WJCq0XmuIk2QZumUwdEfLTcKelJlgzn/ytKG/z1N9l6vzYtEbFmOZTVEkp9TFNWNvKWLUfukvchMjJL3lmSoOnaCUFP/l9RgYtyjlcyXrwM7edbod2wyWb+MikgAKGvz0Hg/41w2vg9IQSyp71kE6iGvbvQPK9S/tpPkPnUJNnYQtVd9RC5eb3bxuU5k/7PY8h+8ZWiMWgaDfx7d0fg0Eeg6dTB7WmCzmLKz0fhnh+Ker2+3SHrKQ0a/wRC573s8rF2ecs+RNbk6eZlTfeuiPz0o0pzjYmIXInBlpMx2HIOU1Y2sme9ivzlq20CHk2nDgh7502oatV0+Hi6H35C9vMv2p3EV93sboTOfwWKwMCiIOsL28AMKBrDEzJjCjT33nreGmum9AwU7NiNgm3boduxu8QxP46QggIhBQfDdPWa1QYJgaOHI/TlmWVKURRCIPetd5Az6zXZdVfeXhuRn61zWi9BwdfbkfH407Zpg5PHI+Sl6eX+lt6UnYO8/61A3jvLZJXaAEAKC0XgiEcR9NhIqG6rXa7zFEd/4hS0n26G7rtdUMTFInTeyy7pYRFCFBUUWfyubH3Y228WlRyft0C23u/+9oj8eCUUYZXrvcl4ORlSaLBLqwl6AmE0Qv/rbyg88DNUd94BTfcuFVZ8R7v1K+S++TZU9e9E2MI3OJ8hEZGDGGw5GYOt8tN++Q2yJj5vU31MER2F0DdeKSrvXYY/MITJBO3HG5E96zX5+KRb8Lu/PUKmT3baIHCh00H344GiwOu73TCeO++U46obN0TY22/Cr2Wzch+rYNt3yBg1VlZ8QgoLRcSaDxxO7bNH6PXIfulV5L39nmy9FBmBiOVL4d+9bOOYimPKzUXeB6uQv3odFGFhCBw5FAGPPOgR5e2dRQiBnFmvInfBOyXuFzD0EYQvfctlUyEQERGRLQZbTsZgq2yEEND/8ityFy5FwVff2GwPeHQQQufNgTI6qtznMuXlIXfhUuQtfrfEsRCazh0RMmMK/Fq3LPc5SyJ0OhgvXYbxwiUYL1y8+e/F6///72KJ7ZRCghEya3rRnGJOHFulP34C6Q8Nk1dJUygQOnc2gsY/YRPwCpMJIisbpowMmNIzr/+bAZGeAVNG0XLhgZ+hP/K77HHqVi0QuXa5R8xN5q2EEMh5eR5y5y+yuz3khecRPH1yhU9BQERE5OsYbDkZg63SMV66gvxPPoV23Qa7JduVtWoifMkCaO5v7/xzX7yM7NmvQbv+U9l6zQNdEDJtslN6iJxBCAGRngHjhYsw/HczCDNdvgJlrZoIGju6VNUVS8OUlo70R0cXFX+w4He9hP2NIMqUkVk0RqqUbxNBE59G6OwZLhnc72uEEMh5db48dVClQviyxQh89GH3NYyIiMiHMdhyMgZbtyYKClDw9bfI/+gT6Pbss1tOHUolgieMQ/D0KU4tZ2xP4eGjyFv6PqBWI2jsGPg1a+LS83kbodcja8pM5C9f5bRjShHhiPhgKfx7dnPaMalIzlvvIGfO61BERSJi5TJoOtzr7iYRERH5LAZbTsZgyz4hBPS/HkH+2k+g3bTFbnnuG/zub4+w12aVawJicr68D1Yha8oMWWU7hykUUERGQIoIh1+LZgh5aRpU1ROd30gCUFTBTlKr2WNIRETkZo7GBq6ZZIcqPeOVZOR/8llRmuCJU8Xup6xVs2ji0UcH8Y9wDxX0+Cio6t2B7BdfhcjKuh48RUARGQ5FRAQUEdf/jbq+3mKbFBLs8vLUdJOre4OJiIjIuRhs+RghhOPzQlk/trAQuu07kb92A3Q799hPE0RR+XL/AX0ROOwR+LVrw8H7XkBzbzvE7P3W3c0gIiIiqlQYbHkpYTTaVojLyJRViDNlZMKUlm5eFhmZMGVkljnYuhW/+9ohcOgj8O/Xq9LPi0NEREREdCs+FWy99957ePPNN3HlyhXcddddWLx4Me6917sGmaf1ewSFSYeLxkZ5wHA7ZY3qN9MEa9Zwd3OIiIiIiDyGzwRbGzduxIQJE/Dee++hXbt2+N///ofu3bvj+PHjqF69urub5zCRl1dUituNpMBA+A/ojcChg+F3TxuO2SEiIiIissNnqhG2atUKTZs2xbJly8zr6tWrh379+mHevHm3fLynVCNMHzQcBV/fYmyNRYU4c4GDyJuFDqTAgDKfX1E1Af7du0IRwjRBIiIiIvJNrEZoobCwEIcPH8a0adNk67t27YoDBw64qVVlo+nRFcpaNa4HT0VV4VghjoiIiIjI8/hEsJWamgqj0Yi4uDjZ+ri4OCQnJ9t9jE6ng06nMy9nZ2e7tI2OCho51N1NICIiIiIiB/hU94d1CXIhRLFlyefNm4ewsDDzT2Ii54giIiIiIiLH+USwFR0dDaVSadOLde3aNZverhumT5+OrKws88+FCxcqoqlERERERFRJ+ESw5efnh2bNmmHnzp2y9Tt37kTbtm3tPkaj0SA0NFT2Q0RERERE5CifGLMFAJMmTcKwYcPQvHlztGnTBh988AH+++8/PPHEE+5uGhERERERVUI+E2w9/PDDSEtLw5w5c3DlyhU0aNAA33zzDWrU4ES8RERERETkfD4zz1Z5eco8W0RERERE5F6OxgY+MWaLiIiIiIioojHYIiIiIiIicgEGW0RERERERC7AYIuIiIiIiMgFGGwRERERERG5AIMtIiIiIiIiF2CwRURERERE5AI+M6lxed2Yjiw7O9vNLSEiIiIiIne6ERPcaspiBlsOysnJAQAkJia6uSVEREREROQJcnJyEBYWVux2SdwqHCMAgMlkwuXLlxESEgJJktzdHHJQdnY2EhMTceHChRJn96by4XWuGLzOFYPXuWLwOlcMXueKwetcMTzpOgshkJOTg4SEBCgUxY/MYs+WgxQKBapVq+buZlAZhYaGuv2X0hfwOlcMXueKwetcMXidKwavc8Xgda4YnnKdS+rRuoEFMoiIiIiIiFyAwRYREREREZELMNiiSk2j0WDWrFnQaDTubkqlxutcMXidKwavc8Xgda4YvM4Vg9e5YnjjdWaBDCIiIiIiIhdgzxYREREREZELMNgiIiIiIiJyAQZbRERERERELsBgi4iIiIiIyAUYbBEREREREbkAgy1ym/feew+1atWCv78/mjVrhh9//FG2/e+//0afPn0QFhaGkJAQtG7dGv/995/NcWrVqoXt27dj79696Nu3L6pUqYKgoCA0adIEH3/8sc3++/btQ7NmzeDv74/atWvj/fffl20/duwYHnzwQdSsWROSJGHx4sU2xzAYDHjhhRdQq1YtBAQEoHbt2pgzZw5MJlP5LoqT/fDDD+jduzcSEhIgSRK2bt1q3qbX6/H888+jYcOGCAoKQkJCAoYPH47Lly/bPRavc8m8+X7OycnBhAkTUKNGDQQEBKBt27ZISkoq3wVxMm+/l73hGlvy1Pt5+fLluPfeexEREYGIiAh07twZv/zyS6nb726efD9XlmtsyZvv55LuFU/h7fezy6+xIHKDDRs2CLVaLZYvXy6OHz8unn32WREUFCTOnz8vhBDi9OnTIjIyUjz33HPit99+E//++6/4+uuvxdWrV2XH+f3330VISIgoKCgQr732mnjhhRfETz/9JE6fPi3efvttoVAoxJdffmne/8yZMyIwMFA8++yz4vjx42L58uVCrVaLTZs2mff55ZdfxJQpU8Qnn3wi4uPjxaJFi2za/+qrr4qoqCjx9ddfi7Nnz4rPPvtMBAcHi8WLF7vmgpXRN998I2bOnCk+//xzAUBs2bLFvC0zM1N07txZbNy4UZw4cUIcPHhQtGrVSjRr1szmOLzOJfP2+3nQoEGifv36Yt++feKff/4Rs2bNEqGhoeLixYuuuWBl4O33sjdc4xs8+X4eMmSIePfdd8WRI0fE33//LUaNGiXCwsJk1/FW7fcEnnw/V5ZrfIO3388l3SuewtvvZ1dfYwZb5BYtW7YUTzzxhGxd3bp1xbRp04QQQjz88MNi6NChtzzOnDlzxMCBA4vd3qNHDzFq1Cjz8tSpU0XdunVl+4wdO1a0bt3a7uNr1Khh9w+nnj17itGjR8vWDRgwwKE2u4sjbyC//PKLAGDzgcnrXDJvvp/z8/OFUqkUX3/9tWx948aNxcyZM2/ZZnfwtnvZ266xt9zPQghhMBhESEiIWLNmjcPt9zSefD8L4f3X2NvvZ0ueGmxZ8sb7ubTtLy2mEVKFKywsxOHDh9G1a1fZ+q5du+LAgQMwmUzYtm0b7rjjDnTr1g2xsbFo1aqV3W7dL7/8En379i32XFlZWYiMjDQvHzx40Oa83bp1w6+//gq9Xu/wc7jnnnuwe/dunDp1CgDw+++/Y//+/ejRo4fDx/BEWVlZkCQJ4eHhsvW8zsXz9vvZYDDAaDTC399ftj4gIAD79+936BieyJPuZW+6xt52P+fn50Ov15uPc6v2eyt33s/efI29/X6urDzpfq4IDLaowqWmpsJoNCIuLk62Pi4uDsnJybh27Rpyc3Px+uuv44EHHsCOHTvQv39/DBgwAPv27TPvf+nSJfz+++/F/uG9adMmJCUlYdSoUeZ1ycnJds9rMBiQmprq8HN4/vnnMXjwYNStWxdqtRp33303JkyYgMGDBzt8DE9TUFCAadOmYciQIQgNDTWv53UumbffzyEhIWjTpg1eeeUVXL58GUajEevWrcPPP/+MK1euOHoZPIqn3cvedI297X6eNm0aqlatis6dOzvUfm/k7vvZm6+xt9/PlZGn3c8VQVVhZyKyIkmSbFkIAUmSzMUP+vbti4kTJwIAmjRpggMHDuD9999H+/btARR9A9KuXTu7307s3bsXI0eOxPLly3HXXXfd8rz21pdk48aNWLduHdavX4+77roLR48exYQJE5CQkIARI0Y4fBxPodfr8cgjj8BkMuG9996TbeN1dow3389r167F6NGjUbVqVSiVSjRt2hRDhgzBb7/95vAxPIWn3svedo294X6eP38+PvnkE+zdu9em17C49nsbd9/PleUae/v9XFl48v3sSuzZogoXHR0NpVJp8w3YtWvXEBcXh+joaKhUKtSvX1+2vV69erLqQMV1N+/btw+9e/fGwoULMXz4cNm2+Ph4u+dVqVSIiopy+Dk899xzmDZtGh555BE0bNgQw4YNw8SJEzFv3jyHj+Ep9Ho9Bg0ahLNnz2Lnzp2yb5oAXudbqQz382233YZ9+/YhNzcXFy5cwC+//AK9Xo9atWo5fAxP4Mn3srdcY2+5nxcsWIC5c+dix44daNSokcPt9ybuvp8rwzX29vu5MvHU+7kiMNiiCufn54dmzZph586dsvU7d+5E27Zt4efnhxYtWuDkyZOy7adOnUKNGjUAALm5ufj+++/Rp08f2T579+5Fz5498frrr+Pxxx+3OXebNm1szrtjxw40b94carXa4eeQn58PhUL+66NUKj2yJHlJbrz5/fPPP9i1a5fNmxOv861Vhvv5hqCgIFSpUgUZGRn47rvvSsyd9zSefi/f4OnX2Bvu5zfffBOvvPIKtm/fjubNm5eq/d7C3fdzZbnG3n4/VxaefD9XCKeW2yBy0I1SrCtWrBDHjx8XEyZMEEFBQeLcuXNCCCE2b94s1Gq1+OCDD8Q///wjlixZIpRKpfjxxx+FEEJ89tlnokGDBrJjfv/99yIwMFBMnz5dXLlyxfyTlpZm3udGmdCJEyeK48ePixUrVtiUCdXpdOLIkSPiyJEjokqVKmLKlCniyJEj4p9//jHvM2LECFG1alVzSfLNmzeL6OhoMXXqVFdetlLLyckxPxcAYuHCheLIkSPi/PnzQq/Xiz59+ohq1aqJo0ePyq6ZTqcTQvA6O8rb7+ft27eLb7/9Vpw5c0bs2LFDNG7cWLRs2VIUFha68rKVirffy95wjW/w5Pv5jTfeEH5+fmLTpk2y4+Tk5Djcfk/gyfdzZbnGN3j7/VzSveIpvP1+dvU1ZrBFbvPuu++KGjVqCD8/P9G0aVOxb98+2fYVK1aI22+/Xfj7+4vGjRuLrVu3mrcNHTrUpmTyiBEjBACbn/bt28v227t3r7j77ruFn5+fqFmzpli2bJls+9mzZ295nOzsbPHss8+K6tWrC39/f1G7dm0xc+ZM8xuHp/j+++/tPpcRI0YU+zwBiO+//14IwetcGt58P2/cuFHUrl1b+Pn5ifj4ePHUU0+JzMxM51wYJ/H2e9kbrrElT72fa9SoYfc4s2bNKlX73c2T7+fKco0tefP9XNK94im8/X529TWWhLg+kozISxiNRsTGxuLbb79Fy5Yt3d2cSovXuWLwOrser3HF4bV2PV7jisNr7Xq+cI05Zou8TlpaGiZOnIgWLVq4uymVGq9zxeB1dj1e44rDa+16vMYVh9fa9XzhGrNni4iIiIiIyAXYs0VEREREROQCDLaIiIiIiIhcgMEWERERERGRCzDYIiIiIiIicgEGW0RERERERC7AYIuIiIiIiMgFGGwRERERERG5AIMtIiIiIiIiF2CwRURERERE5AL/D43FM5xGZ/6hAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráfico de líneas con la evolución de las bajas\n",
    "sns.lineplot(data=df_suscripciones, x='AÑO-MES', y='BAJAS', color='#E50914', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Variación del número de suscripciones canceladas')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Bajas')\n",
    "plt.xticks(range(5, len(df_suscripciones), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a15158ab-c24b-4b9b-be03-42aae70041be",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Al observar los datos de bajas de suscripciones en Nerdflix, se evidencia un <u>incremento en las bajas durante el último trimestre</u>, con una media mensual de 709 cancelaciones en este período, que resulta sorprendente en comparación con la media de 75 cancelaciones en los anteriores 45 meses.\n",
    "<br><br>\n",
    "Esta tendencia invita a un análisis más profundo para identificar las causas que pueden estar contribuyendo a este aumento en las bajas de suscripciones.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9089a368-1a1c-4cbb-a16e-60d65ff82c71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Selección de las suscripciones de últimos 6 meses\n",
    "suscripciones_semestre = df_suscripciones.tail(6)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Ajuste de la posición de las barras de altas y bajas\n",
    "bar_altas = [pos - 0.4 / 2 for pos in range(len(suscripciones_semestre))]\n",
    "bar_bajas = [pos + 0.4 / 2 for pos in range(len(suscripciones_semestre))]\n",
    "\n",
    "# Gráfico de barras con altas y bajas en los últimos 6 meses\n",
    "ax.bar(bar_altas, suscripciones_semestre['ALTAS'], width=0.4, label='Altas', color='#43CA65')\n",
    "ax.bar(bar_bajas, suscripciones_semestre['BAJAS'], width=0.4, label='Bajas', color='#E50914')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Comparativa del número de altas y bajas en el último semestre')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Altas y bajas')\n",
    "plt.xticks(range(len(suscripciones_semestre)), suscripciones_semestre['AÑO-MES']) # Etiquetas personalizadas en el eje x\n",
    "# Leyenda\n",
    "plt.legend(loc='upper left', bbox_to_anchor=(1,1))\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06a0bf5e-a7fc-4c4a-a937-a025157a5e15",
   "metadata": {},
   "source": [
    "### 1.3 - Perfiles de usuarios que cancelan su suscripción"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0f59ecbc-f664-463e-83e4-7abeb926e3c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID CLIENTE</th>\n",
       "      <th>ANTIGUEDAD (MESES)</th>\n",
       "      <th>BAJA</th>\n",
       "      <th>PLAN</th>\n",
       "      <th>PERFILES</th>\n",
       "      <th>PERFIL KIDS</th>\n",
       "      <th>EDAD</th>\n",
       "      <th>DESCARGA CONTENIDO</th>\n",
       "      <th>METODO PAGO</th>\n",
       "      <th>DISPOSITIVO MAS USADO</th>\n",
       "      <th>COMPAÑIA INTERNET</th>\n",
       "      <th>SEGMENTO</th>\n",
       "      <th>PREFERENCIA PELICULAS O SERIES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C-000001</td>\n",
       "      <td>23.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Premium</td>\n",
       "      <td>2.0</td>\n",
       "      <td>No</td>\n",
       "      <td>69.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Tarjeta</td>\n",
       "      <td>Smart TV</td>\n",
       "      <td>Vodafone</td>\n",
       "      <td>A</td>\n",
       "      <td>Peliculas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>C-000002</td>\n",
       "      <td>6.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Estandar</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "      <td>32.0</td>\n",
       "      <td>Si</td>\n",
       "      <td>Tarjeta</td>\n",
       "      <td>Otros</td>\n",
       "      <td>Movistar</td>\n",
       "      <td>B</td>\n",
       "      <td>Peliculas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C-000003</td>\n",
       "      <td>8.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Estandar</td>\n",
       "      <td>3.0</td>\n",
       "      <td>No</td>\n",
       "      <td>45.0</td>\n",
       "      <td>No</td>\n",
       "      <td>PayPal</td>\n",
       "      <td>Otros</td>\n",
       "      <td>Orange</td>\n",
       "      <td>C</td>\n",
       "      <td>Peliculas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>C-000004</td>\n",
       "      <td>16.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Estandar</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Si</td>\n",
       "      <td>38.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Tarjeta</td>\n",
       "      <td>Chromecast o similar</td>\n",
       "      <td>Movistar</td>\n",
       "      <td>C</td>\n",
       "      <td>Peliculas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>C-000005</td>\n",
       "      <td>6.0</td>\n",
       "      <td>No</td>\n",
       "      <td>Estandar</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Si</td>\n",
       "      <td>39.0</td>\n",
       "      <td>No</td>\n",
       "      <td>PayPal</td>\n",
       "      <td>iPad</td>\n",
       "      <td>Movistar</td>\n",
       "      <td>C</td>\n",
       "      <td>Peliculas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ID CLIENTE  ANTIGUEDAD (MESES) BAJA      PLAN  PERFILES PERFIL KIDS  EDAD  \\\n",
       "0   C-000001                23.0   No   Premium       2.0          No  69.0   \n",
       "1   C-000002                 6.0   No  Estandar       1.0          No  32.0   \n",
       "2   C-000003                 8.0   No  Estandar       3.0          No  45.0   \n",
       "3   C-000004                16.0   No  Estandar       3.0          Si  38.0   \n",
       "4   C-000005                 6.0   No  Estandar       1.0          Si  39.0   \n",
       "\n",
       "  DESCARGA CONTENIDO METODO PAGO DISPOSITIVO MAS USADO COMPAÑIA INTERNET  \\\n",
       "0                 No     Tarjeta              Smart TV          Vodafone   \n",
       "1                 Si     Tarjeta                 Otros          Movistar   \n",
       "2                 No      PayPal                 Otros            Orange   \n",
       "3                 No     Tarjeta  Chromecast o similar          Movistar   \n",
       "4                 No      PayPal                  iPad          Movistar   \n",
       "\n",
       "  SEGMENTO PREFERENCIA PELICULAS O SERIES  \n",
       "0        A                      Peliculas  \n",
       "1        B                      Peliculas  \n",
       "2        C                      Peliculas  \n",
       "3        C                      Peliculas  \n",
       "4        C                      Peliculas  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clientes.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0dcd9a7f-7e1b-4506-92cb-f088352d5f79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nº de bajas del dataset de clientes\n",
    "cond_baja = df_clientes['BAJA'] == 'Si'\n",
    "n_bajas_clientes = df_clientes[cond_baja]['BAJA'].count()\n",
    "\n",
    "# Nº de bajas del dataset de suscripciones\n",
    "n_bajas_suscripciones = df_suscripciones['BAJAS'].tail(1).iloc[0]\n",
    "\n",
    "# Verificación del nº de bajas entre el dataset de clientes y el de suscripciones\n",
    "n_bajas_clientes == n_bajas_suscripciones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6276769a-30c4-475e-9c1e-3c227c83e109",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEGMENTO</th>\n",
       "      <th>BAJA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  SEGMENTO  BAJA\n",
       "0        A   203\n",
       "1        B   798\n",
       "2        C     0\n",
       "3        D     0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Nº de bajas en cada segmento de clientes\n",
    "clientes_baja = df_clientes[cond_baja].groupby('SEGMENTO').agg({'BAJA':'count'}).reset_index()\n",
    "clientes_baja = clientes_baja.append(pd.DataFrame({'SEGMENTO':['C','D'], 'BAJA':[0,0]})).reset_index(drop=True)\n",
    "\n",
    "clientes_baja"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "dec175f3-120f-4805-8f67-ad8f2b2ec64a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de barras con las bajas por segmento en el último mes\n",
    "sns.barplot(data=clientes_baja, x='SEGMENTO', y='BAJA', color='#E50914', edgecolor='#000000')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Cancelaciones de suscripciones por segmento en el último mes')\n",
    "plt.xlabel('Segmento')\n",
    "plt.ylabel('Bajas')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "583a74c3-321f-45bb-80b8-419de8eb8936",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Para profundizar más en el análisis previo sobre el aumento de las bajas en los últimos tres meses, se ha obtenido los segmentos de clientes que se han dado de baja en el último mes en Nerdflix. En relación a esto, los datos revelan que <u>los focos de fuga se encuentran en el segmento A y, especialmente, en el B</u>, por lo que habrá que enfocar los esfuerzos a retener a este tipo de usuarios.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "83d4213b-584f-40be-b16c-7c0c898d85ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SEGMENTO</th>\n",
       "      <th>EDAD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  SEGMENTO  EDAD\n",
       "0        A  81.0\n",
       "1        B  35.0\n",
       "2        C  37.0\n",
       "3        D  24.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Edad media de los segmentos\n",
    "clientes_edad = df_clientes.groupby('SEGMENTO').agg({'EDAD':'mean'}).reset_index()\n",
    "clientes_edad['EDAD'] = round(clientes_edad['EDAD'])\n",
    "\n",
    "clientes_edad"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f37950d0-63a7-4d1e-b441-e5ee75abefef",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Asimismo, es relevante destacar que la tipología de usuarios del segmento A es complemente distinta que la del segmento B. Mientras que el segmento B tiene un promedio de edad de 35 años, el segmento A presenta una media de edad mucho más alta, con 81 años de media.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4e5f06e4-e821-48a4-a10b-b570c33d8bd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>NUMERO DE DISPOSITIVOS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SEGMENTO</th>\n",
       "      <th>DISPOSITIVO MAS USADO</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">A</th>\n",
       "      <th>Smart TV</th>\n",
       "      <td>5395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Otros</th>\n",
       "      <td>585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">B</th>\n",
       "      <th>PC</th>\n",
       "      <td>6258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Smart TV</th>\n",
       "      <td>2514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chromecast o similar</th>\n",
       "      <td>2451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Otros</th>\n",
       "      <td>1248</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                NUMERO DE DISPOSITIVOS\n",
       "SEGMENTO DISPOSITIVO MAS USADO                        \n",
       "A        Smart TV                                 5395\n",
       "         Otros                                     585\n",
       "B        PC                                       6258\n",
       "         Smart TV                                 2514\n",
       "         Chromecast o similar                     2451\n",
       "         Otros                                    1248"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Condiciones para filtrar por los segmentos A y B\n",
    "cond_A = df_clientes['SEGMENTO'] == 'A'\n",
    "cond_B = df_clientes['SEGMENTO'] == 'B'\n",
    "\n",
    "# Dispositivos más usados por los segmentos A y B\n",
    "df_clientes[cond_A | cond_B].groupby('SEGMENTO')['DISPOSITIVO MAS USADO'].value_counts().to_frame(name='NUMERO DE DISPOSITIVOS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "70227ac6-00f0-4b4e-8e14-446d399e451c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PORCENTAJE DE CUOTA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Movistar</th>\n",
       "      <td>0.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vodafone</th>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orange</th>\n",
       "      <td>0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pepephone</th>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jazztel</th>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           PORCENTAJE DE CUOTA\n",
       "Movistar                  0.47\n",
       "Vodafone                  0.19\n",
       "Orange                    0.17\n",
       "Pepephone                 0.09\n",
       "Jazztel                   0.09"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compañías de internet de los clientes\n",
    "df_clientes['COMPAÑIA INTERNET'].value_counts(normalize=True).round(2).to_frame(name='PORCENTAJE DE CUOTA')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6906a02e-8e1c-49eb-9956-d4c76705746a",
   "metadata": {},
   "source": [
    "## **2 - 🔎 Identificación de causas**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e762c6d5-dc0f-46fe-acbe-95758136d2d4",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 2.1 - Contenido favorito de clientes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "af9152a6-6ff3-425f-9bfa-8d2b4244ace3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>SESIONES</th>\n",
       "      <th>MEDIA SESIONES ABIERTAS SIMULTANEAS</th>\n",
       "      <th>MAX. SESIONES SIMULTANEAS</th>\n",
       "      <th>MIN. SESIONES SIMULTANEAS</th>\n",
       "      <th>PELICULAS VISTAS</th>\n",
       "      <th>SERIES (CAPITULOS) VISTAS</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO A)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO B)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO C)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO D)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO B)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO C)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO D)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO C)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO D)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO C)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO D)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO C)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO D)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO A)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO B)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO C)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO D)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO A)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO B)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO C)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO D)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>578296</td>\n",
       "      <td>4760</td>\n",
       "      <td>13036</td>\n",
       "      <td>1725</td>\n",
       "      <td>34966</td>\n",
       "      <td>69398</td>\n",
       "      <td>37</td>\n",
       "      <td>161</td>\n",
       "      <td>75</td>\n",
       "      <td>22</td>\n",
       "      <td>653</td>\n",
       "      <td>37</td>\n",
       "      <td>553</td>\n",
       "      <td>323</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Fantasia</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0,83</td>\n",
       "      <td>0,98</td>\n",
       "      <td>0,62</td>\n",
       "      <td>0,31</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>821860</td>\n",
       "      <td>7799</td>\n",
       "      <td>18231</td>\n",
       "      <td>2688</td>\n",
       "      <td>49538</td>\n",
       "      <td>122310</td>\n",
       "      <td>31</td>\n",
       "      <td>116</td>\n",
       "      <td>78</td>\n",
       "      <td>18</td>\n",
       "      <td>1119</td>\n",
       "      <td>117</td>\n",
       "      <td>579</td>\n",
       "      <td>302</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0,85</td>\n",
       "      <td>0,63</td>\n",
       "      <td>0,66</td>\n",
       "      <td>0,32</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>704452</td>\n",
       "      <td>7036</td>\n",
       "      <td>18258</td>\n",
       "      <td>2469</td>\n",
       "      <td>43748</td>\n",
       "      <td>104297</td>\n",
       "      <td>33</td>\n",
       "      <td>109</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>1356</td>\n",
       "      <td>190</td>\n",
       "      <td>550</td>\n",
       "      <td>286</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0,82</td>\n",
       "      <td>0,56</td>\n",
       "      <td>0,58</td>\n",
       "      <td>0,27</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>792289</td>\n",
       "      <td>7560</td>\n",
       "      <td>18024</td>\n",
       "      <td>2486</td>\n",
       "      <td>42390</td>\n",
       "      <td>96015</td>\n",
       "      <td>29</td>\n",
       "      <td>111</td>\n",
       "      <td>78</td>\n",
       "      <td>22</td>\n",
       "      <td>1234</td>\n",
       "      <td>221</td>\n",
       "      <td>644</td>\n",
       "      <td>296</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0,8</td>\n",
       "      <td>0,59</td>\n",
       "      <td>0,57</td>\n",
       "      <td>0,28</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>6</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>704733</td>\n",
       "      <td>6411</td>\n",
       "      <td>19781</td>\n",
       "      <td>2365</td>\n",
       "      <td>44746</td>\n",
       "      <td>98712</td>\n",
       "      <td>30</td>\n",
       "      <td>117</td>\n",
       "      <td>73</td>\n",
       "      <td>17</td>\n",
       "      <td>1247</td>\n",
       "      <td>204</td>\n",
       "      <td>649</td>\n",
       "      <td>276</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0,8</td>\n",
       "      <td>0,54</td>\n",
       "      <td>0,64</td>\n",
       "      <td>0,32</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  SESIONES  MEDIA SESIONES ABIERTAS SIMULTANEAS  \\\n",
       "43  2021    8    578296                                 4760   \n",
       "44  2021    9    821860                                 7799   \n",
       "45  2021   10    704452                                 7036   \n",
       "46  2021   11    792289                                 7560   \n",
       "47  2021   12    704733                                 6411   \n",
       "\n",
       "    MAX. SESIONES SIMULTANEAS  MIN. SESIONES SIMULTANEAS  PELICULAS VISTAS  \\\n",
       "43                      13036                       1725             34966   \n",
       "44                      18231                       2688             49538   \n",
       "45                      18258                       2469             43748   \n",
       "46                      18024                       2486             42390   \n",
       "47                      19781                       2365             44746   \n",
       "\n",
       "    SERIES (CAPITULOS) VISTAS  DURACION MEDIA SESION (SEGMENTO A)  \\\n",
       "43                      69398                                  37   \n",
       "44                     122310                                  31   \n",
       "45                     104297                                  33   \n",
       "46                      96015                                  29   \n",
       "47                      98712                                  30   \n",
       "\n",
       "    DURACION MEDIA SESION (SEGMENTO B)  DURACION MEDIA SESION (SEGMENTO C)  \\\n",
       "43                                 161                                  75   \n",
       "44                                 116                                  78   \n",
       "45                                 109                                  72   \n",
       "46                                 111                                  78   \n",
       "47                                 117                                  73   \n",
       "\n",
       "    DURACION MEDIA SESION (SEGMENTO D)  \\\n",
       "43                                  22   \n",
       "44                                  18   \n",
       "45                                  23   \n",
       "46                                  22   \n",
       "47                                  17   \n",
       "\n",
       "    TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)  \\\n",
       "43                                                653              \n",
       "44                                               1119              \n",
       "45                                               1356              \n",
       "46                                               1234              \n",
       "47                                               1247              \n",
       "\n",
       "    TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO B)  \\\n",
       "43                                                 37              \n",
       "44                                                117              \n",
       "45                                                190              \n",
       "46                                                221              \n",
       "47                                                204              \n",
       "\n",
       "    TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO C)  \\\n",
       "43                                                553              \n",
       "44                                                579              \n",
       "45                                                550              \n",
       "46                                                644              \n",
       "47                                                649              \n",
       "\n",
       "    TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO D)  \\\n",
       "43                                                323              \n",
       "44                                                302              \n",
       "45                                                286              \n",
       "46                                                296              \n",
       "47                                                276              \n",
       "\n",
       "   PELICULAS GENERO MAS VISTO (SEGMENTO A)  \\\n",
       "43                                Infantil   \n",
       "44                                  Accion   \n",
       "45                                Aventura   \n",
       "46                                  Accion   \n",
       "47                                  Accion   \n",
       "\n",
       "   PELICULAS GENERO MAS VISTO (SEGMENTO B)  \\\n",
       "43                                Fantasia   \n",
       "44                         Ciencia ficcion   \n",
       "45                         Ciencia ficcion   \n",
       "46                         Ciencia ficcion   \n",
       "47                         Ciencia ficcion   \n",
       "\n",
       "   PELICULAS GENERO MAS VISTO (SEGMENTO C)  \\\n",
       "43                                Infantil   \n",
       "44                                Infantil   \n",
       "45                                Infantil   \n",
       "46                                Infantil   \n",
       "47                                Infantil   \n",
       "\n",
       "   PELICULAS GENERO MAS VISTO (SEGMENTO D)  \\\n",
       "43                                Infantil   \n",
       "44                               Romantico   \n",
       "45                               Romantico   \n",
       "46                               Romantico   \n",
       "47                               Romantico   \n",
       "\n",
       "   SERIES GENERO MAS VISTO (SEGMENTO A) SERIES GENERO MAS VISTO (SEGMENTO B)  \\\n",
       "43                             Infantil                      Ciencia ficcion   \n",
       "44                             Aventura                      Ciencia ficcion   \n",
       "45                               Accion                      Ciencia ficcion   \n",
       "46                               Accion                      Ciencia ficcion   \n",
       "47                             Aventura                      Ciencia ficcion   \n",
       "\n",
       "   SERIES GENERO MAS VISTO (SEGMENTO C) SERIES GENERO MAS VISTO (SEGMENTO D)  \\\n",
       "43                             Infantil                            Romantico   \n",
       "44                             Infantil                            Romantico   \n",
       "45                             Infantil                            Romantico   \n",
       "46                             Infantil                            Romantico   \n",
       "47                             Infantil                            Romantico   \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)  \\\n",
       "43                                               0,83           \n",
       "44                                               0,85           \n",
       "45                                               0,82           \n",
       "46                                                0,8           \n",
       "47                                                0,8           \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)  \\\n",
       "43                                               0,98           \n",
       "44                                               0,63           \n",
       "45                                               0,56           \n",
       "46                                               0,59           \n",
       "47                                               0,54           \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO C)  \\\n",
       "43                                               0,62           \n",
       "44                                               0,66           \n",
       "45                                               0,58           \n",
       "46                                               0,57           \n",
       "47                                               0,64           \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO D)  \\\n",
       "43                                               0,31           \n",
       "44                                               0,32           \n",
       "45                                               0,27           \n",
       "46                                               0,28           \n",
       "47                                               0,32           \n",
       "\n",
       "   MOMENTO DEL DIA FAVORITO (SEGMENTO A)  \\\n",
       "43                                 Tarde   \n",
       "44                               MaÃ±ana   \n",
       "45                               MaÃ±ana   \n",
       "46                               MaÃ±ana   \n",
       "47                               MaÃ±ana   \n",
       "\n",
       "   MOMENTO DEL DIA FAVORITO (SEGMENTO B)  \\\n",
       "43                                 Noche   \n",
       "44                                 Noche   \n",
       "45                                 Noche   \n",
       "46                               MaÃ±ana   \n",
       "47                                 Noche   \n",
       "\n",
       "   MOMENTO DEL DIA FAVORITO (SEGMENTO C)  \\\n",
       "43                                 Tarde   \n",
       "44                                 Tarde   \n",
       "45                                 Tarde   \n",
       "46                                 Tarde   \n",
       "47                                 Tarde   \n",
       "\n",
       "   MOMENTO DEL DIA FAVORITO (SEGMENTO D)  \\\n",
       "43                               MaÃ±ana   \n",
       "44                               MaÃ±ana   \n",
       "45                               MaÃ±ana   \n",
       "46                               MaÃ±ana   \n",
       "47                               MaÃ±ana   \n",
       "\n",
       "    FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO A)  \\\n",
       "43                                               4   \n",
       "44                                               8   \n",
       "45                                               7   \n",
       "46                                               6   \n",
       "47                                               6   \n",
       "\n",
       "    FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO B)  \\\n",
       "43                                              25   \n",
       "44                                              23   \n",
       "45                                              23   \n",
       "46                                              26   \n",
       "47                                              25   \n",
       "\n",
       "    FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO C)  \\\n",
       "43                                              11   \n",
       "44                                              14   \n",
       "45                                              14   \n",
       "46                                              14   \n",
       "47                                              15   \n",
       "\n",
       "    FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO D)  \n",
       "43                                              14  \n",
       "44                                              18  \n",
       "45                                              18  \n",
       "46                                              18  \n",
       "47                                              17  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_consumo.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "548a040b-3aad-49e6-8a2a-31f78efcc50f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ciencia ficcion</th>\n",
       "      <td>45</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fantasia</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 PELICULAS GENERO MAS VISTO (SEGMENTO B)  \\\n",
       "Ciencia ficcion                                       45   \n",
       "Fantasia                                               3   \n",
       "\n",
       "                 SERIES GENERO MAS VISTO (SEGMENTO B)  \n",
       "Ciencia ficcion                                    46  \n",
       "Fantasia                                            2  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Películas y series más vistas por el segmento B\n",
    "peliculas_b = df_consumo['PELICULAS GENERO MAS VISTO (SEGMENTO B)'].value_counts().to_frame()\n",
    "series_b = df_consumo['SERIES GENERO MAS VISTO (SEGMENTO B)'].value_counts().to_frame()\n",
    "\n",
    "# Combinación de películas y series favoritas del segmento B\n",
    "contenido_b = peliculas_b.merge(series_b, left_index=True, right_index=True, how='left')\n",
    "contenido_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "68358011-bec4-4692-a52a-491b476cd87c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Accion</th>\n",
       "      <td>28</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aventura</th>\n",
       "      <td>16</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Infantil</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PELICULAS GENERO MAS VISTO (SEGMENTO A)  \\\n",
       "Accion                                         28   \n",
       "Aventura                                       16   \n",
       "Infantil                                        4   \n",
       "\n",
       "          SERIES GENERO MAS VISTO (SEGMENTO A)  \n",
       "Accion                                      21  \n",
       "Aventura                                    23  \n",
       "Infantil                                     4  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Películas y series más vistas por el segmento A\n",
    "peliculas_a = df_consumo['PELICULAS GENERO MAS VISTO (SEGMENTO A)'].value_counts().to_frame()\n",
    "series_a = df_consumo['SERIES GENERO MAS VISTO (SEGMENTO A)'].value_counts().to_frame()\n",
    "\n",
    "# Combinación de películas y series favoritas del segmento A \n",
    "contenido_a = peliculas_a.merge(series_a, left_index=True, right_index=True, how='left')\n",
    "contenido_a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd09ad5a-f90f-41a7-bbee-86ef658f9e7a",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Para continuar con el análisis, se ha recopilado información sobre las preferencias de contenido en ambos segmentos:\n",
    "    \n",
    "- En el segmento B, el género de ciencia ficción es el más visto, por delante del de fantasía.\n",
    "- Por otro lado, en el segmento A, el contenido de acción es el más popular, seguido muy de cerca por el de aventura.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c20ac51-1378-440b-926b-66a46d15f63e",
   "metadata": {},
   "source": [
    "### 2.2 - Duración media de las sesiones"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "82394b51-3b09-4923-9ab5-48ceaccc0dd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_consumo['AÑO-MES'] = df_consumo['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_consumo['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "426e25d5-c5f1-4910-bbde-28ca458245b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalización de variable para convertirla a tipo float\n",
    "df_consumo['REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)'] = df_consumo['REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)'].str.replace(',', '.').astype(float)\n",
    "df_consumo['REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)'] = df_consumo['REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)'].str.replace(',', '.').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "06d644e4-4ad3-4210-9c99-cb4f6cec1bf4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>SESIONES</th>\n",
       "      <th>MEDIA SESIONES ABIERTAS SIMULTANEAS</th>\n",
       "      <th>MAX. SESIONES SIMULTANEAS</th>\n",
       "      <th>MIN. SESIONES SIMULTANEAS</th>\n",
       "      <th>PELICULAS VISTAS</th>\n",
       "      <th>SERIES (CAPITULOS) VISTAS</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO A)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO B)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO C)</th>\n",
       "      <th>DURACION MEDIA SESION (SEGMENTO D)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO B)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO C)</th>\n",
       "      <th>TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO D)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO C)</th>\n",
       "      <th>PELICULAS GENERO MAS VISTO (SEGMENTO D)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO A)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO B)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO C)</th>\n",
       "      <th>SERIES GENERO MAS VISTO (SEGMENTO D)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO C)</th>\n",
       "      <th>REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO D)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO A)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO B)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO C)</th>\n",
       "      <th>MOMENTO DEL DIA FAVORITO (SEGMENTO D)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO A)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO B)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO C)</th>\n",
       "      <th>FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO D)</th>\n",
       "      <th>AÑO-MES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>127500</td>\n",
       "      <td>779</td>\n",
       "      <td>2947</td>\n",
       "      <td>349</td>\n",
       "      <td>2135</td>\n",
       "      <td>3737</td>\n",
       "      <td>40</td>\n",
       "      <td>155</td>\n",
       "      <td>79</td>\n",
       "      <td>18</td>\n",
       "      <td>521</td>\n",
       "      <td>23</td>\n",
       "      <td>639</td>\n",
       "      <td>255</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0,67</td>\n",
       "      <td>0,35</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>01/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>131190</td>\n",
       "      <td>782</td>\n",
       "      <td>3340</td>\n",
       "      <td>416</td>\n",
       "      <td>2826</td>\n",
       "      <td>3956</td>\n",
       "      <td>41</td>\n",
       "      <td>168</td>\n",
       "      <td>70</td>\n",
       "      <td>16</td>\n",
       "      <td>652</td>\n",
       "      <td>47</td>\n",
       "      <td>577</td>\n",
       "      <td>350</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0,63</td>\n",
       "      <td>0,34</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>17</td>\n",
       "      <td>02/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>3</td>\n",
       "      <td>150426</td>\n",
       "      <td>1315</td>\n",
       "      <td>3485</td>\n",
       "      <td>476</td>\n",
       "      <td>3716</td>\n",
       "      <td>5945</td>\n",
       "      <td>45</td>\n",
       "      <td>163</td>\n",
       "      <td>73</td>\n",
       "      <td>16</td>\n",
       "      <td>633</td>\n",
       "      <td>29</td>\n",
       "      <td>627</td>\n",
       "      <td>326</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Fantasia</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.97</td>\n",
       "      <td>0,64</td>\n",
       "      <td>0,27</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>03/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>4</td>\n",
       "      <td>170576</td>\n",
       "      <td>1426</td>\n",
       "      <td>4665</td>\n",
       "      <td>547</td>\n",
       "      <td>3822</td>\n",
       "      <td>7645</td>\n",
       "      <td>35</td>\n",
       "      <td>157</td>\n",
       "      <td>79</td>\n",
       "      <td>22</td>\n",
       "      <td>603</td>\n",
       "      <td>38</td>\n",
       "      <td>680</td>\n",
       "      <td>257</td>\n",
       "      <td>Accion</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.98</td>\n",
       "      <td>0,67</td>\n",
       "      <td>0,26</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>Noche</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>04/2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>5</td>\n",
       "      <td>166726</td>\n",
       "      <td>1344</td>\n",
       "      <td>4306</td>\n",
       "      <td>505</td>\n",
       "      <td>4564</td>\n",
       "      <td>7303</td>\n",
       "      <td>37</td>\n",
       "      <td>169</td>\n",
       "      <td>74</td>\n",
       "      <td>17</td>\n",
       "      <td>618</td>\n",
       "      <td>34</td>\n",
       "      <td>500</td>\n",
       "      <td>301</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Fantasia</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>Aventura</td>\n",
       "      <td>Ciencia ficcion</td>\n",
       "      <td>Infantil</td>\n",
       "      <td>Romantico</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0,59</td>\n",
       "      <td>0,35</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>Tarde</td>\n",
       "      <td>MaÃ±ana</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>05/2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    AÑO  MES  SESIONES  MEDIA SESIONES ABIERTAS SIMULTANEAS  \\\n",
       "0  2018    1    127500                                  779   \n",
       "1  2018    2    131190                                  782   \n",
       "2  2018    3    150426                                 1315   \n",
       "3  2018    4    170576                                 1426   \n",
       "4  2018    5    166726                                 1344   \n",
       "\n",
       "   MAX. SESIONES SIMULTANEAS  MIN. SESIONES SIMULTANEAS  PELICULAS VISTAS  \\\n",
       "0                       2947                        349              2135   \n",
       "1                       3340                        416              2826   \n",
       "2                       3485                        476              3716   \n",
       "3                       4665                        547              3822   \n",
       "4                       4306                        505              4564   \n",
       "\n",
       "   SERIES (CAPITULOS) VISTAS  DURACION MEDIA SESION (SEGMENTO A)  \\\n",
       "0                       3737                                  40   \n",
       "1                       3956                                  41   \n",
       "2                       5945                                  45   \n",
       "3                       7645                                  35   \n",
       "4                       7303                                  37   \n",
       "\n",
       "   DURACION MEDIA SESION (SEGMENTO B)  DURACION MEDIA SESION (SEGMENTO C)  \\\n",
       "0                                 155                                  79   \n",
       "1                                 168                                  70   \n",
       "2                                 163                                  73   \n",
       "3                                 157                                  79   \n",
       "4                                 169                                  74   \n",
       "\n",
       "   DURACION MEDIA SESION (SEGMENTO D)  \\\n",
       "0                                  18   \n",
       "1                                  16   \n",
       "2                                  16   \n",
       "3                                  22   \n",
       "4                                  17   \n",
       "\n",
       "   TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)  \\\n",
       "0                                                521              \n",
       "1                                                652              \n",
       "2                                                633              \n",
       "3                                                603              \n",
       "4                                                618              \n",
       "\n",
       "   TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO B)  \\\n",
       "0                                                 23              \n",
       "1                                                 47              \n",
       "2                                                 29              \n",
       "3                                                 38              \n",
       "4                                                 34              \n",
       "\n",
       "   TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO C)  \\\n",
       "0                                                639              \n",
       "1                                                577              \n",
       "2                                                627              \n",
       "3                                                680              \n",
       "4                                                500              \n",
       "\n",
       "   TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO D)  \\\n",
       "0                                                255              \n",
       "1                                                350              \n",
       "2                                                326              \n",
       "3                                                257              \n",
       "4                                                301              \n",
       "\n",
       "  PELICULAS GENERO MAS VISTO (SEGMENTO A)  \\\n",
       "0                                  Accion   \n",
       "1                                  Accion   \n",
       "2                                Aventura   \n",
       "3                                  Accion   \n",
       "4                                Aventura   \n",
       "\n",
       "  PELICULAS GENERO MAS VISTO (SEGMENTO B)  \\\n",
       "0                         Ciencia ficcion   \n",
       "1                         Ciencia ficcion   \n",
       "2                         Ciencia ficcion   \n",
       "3                         Ciencia ficcion   \n",
       "4                                Fantasia   \n",
       "\n",
       "  PELICULAS GENERO MAS VISTO (SEGMENTO C)  \\\n",
       "0                                Infantil   \n",
       "1                                Infantil   \n",
       "2                                Fantasia   \n",
       "3                                Infantil   \n",
       "4                                Infantil   \n",
       "\n",
       "  PELICULAS GENERO MAS VISTO (SEGMENTO D)  \\\n",
       "0                                Infantil   \n",
       "1                               Romantico   \n",
       "2                               Romantico   \n",
       "3                               Romantico   \n",
       "4                               Romantico   \n",
       "\n",
       "  SERIES GENERO MAS VISTO (SEGMENTO A) SERIES GENERO MAS VISTO (SEGMENTO B)  \\\n",
       "0                               Accion                      Ciencia ficcion   \n",
       "1                             Aventura                      Ciencia ficcion   \n",
       "2                             Aventura                      Ciencia ficcion   \n",
       "3                             Aventura                      Ciencia ficcion   \n",
       "4                             Aventura                      Ciencia ficcion   \n",
       "\n",
       "  SERIES GENERO MAS VISTO (SEGMENTO C) SERIES GENERO MAS VISTO (SEGMENTO D)  \\\n",
       "0                             Infantil                            Romantico   \n",
       "1                             Infantil                            Romantico   \n",
       "2                             Infantil                            Romantico   \n",
       "3                             Infantil                            Romantico   \n",
       "4                             Infantil                            Romantico   \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO A)  \\\n",
       "0                                               0.83            \n",
       "1                                               0.75            \n",
       "2                                               0.75            \n",
       "3                                               0.83            \n",
       "4                                               0.86            \n",
       "\n",
       "   REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)  \\\n",
       "0                                               0.98            \n",
       "1                                               0.97            \n",
       "2                                               0.97            \n",
       "3                                               0.98            \n",
       "4                                               0.99            \n",
       "\n",
       "  REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO C)  \\\n",
       "0                                               0,67           \n",
       "1                                               0,63           \n",
       "2                                               0,64           \n",
       "3                                               0,67           \n",
       "4                                               0,59           \n",
       "\n",
       "  REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO D)  \\\n",
       "0                                               0,35           \n",
       "1                                               0,34           \n",
       "2                                               0,27           \n",
       "3                                               0,26           \n",
       "4                                               0,35           \n",
       "\n",
       "  MOMENTO DEL DIA FAVORITO (SEGMENTO A) MOMENTO DEL DIA FAVORITO (SEGMENTO B)  \\\n",
       "0                               MaÃ±ana                                 Noche   \n",
       "1                               MaÃ±ana                                 Noche   \n",
       "2                               MaÃ±ana                                 Noche   \n",
       "3                                 Tarde                                 Noche   \n",
       "4                                 Tarde                               MaÃ±ana   \n",
       "\n",
       "  MOMENTO DEL DIA FAVORITO (SEGMENTO C) MOMENTO DEL DIA FAVORITO (SEGMENTO D)  \\\n",
       "0                                 Tarde                               MaÃ±ana   \n",
       "1                                 Tarde                               MaÃ±ana   \n",
       "2                                 Tarde                               MaÃ±ana   \n",
       "3                                 Tarde                               MaÃ±ana   \n",
       "4                                 Tarde                               MaÃ±ana   \n",
       "\n",
       "   FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO A)  \\\n",
       "0                                               7   \n",
       "1                                               7   \n",
       "2                                               8   \n",
       "3                                               8   \n",
       "4                                               9   \n",
       "\n",
       "   FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO B)  \\\n",
       "0                                              23   \n",
       "1                                              22   \n",
       "2                                              22   \n",
       "3                                              22   \n",
       "4                                              23   \n",
       "\n",
       "   FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO C)  \\\n",
       "0                                              10   \n",
       "1                                              10   \n",
       "2                                              10   \n",
       "3                                              11   \n",
       "4                                              10   \n",
       "\n",
       "   FRECUENCIA (# SESIONES MENSUALES) (SEGMENTO D)  AÑO-MES  \n",
       "0                                              18  01/2018  \n",
       "1                                              17  02/2018  \n",
       "2                                              18  03/2018  \n",
       "3                                              18  04/2018  \n",
       "4                                              18  05/2018  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_consumo.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d142e3f3-b3c8-4cf8-b56a-2df08d1eb76a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con el porcentaje de reproduccciones completadas por el segmento B\n",
    "sns.barplot(data=df_consumo, x='AÑO-MES', y='REPRODUCCIONES COMPLETADAS (% SOBRE EL TOTAL) (SEGMENTO B)', color='#448EF4')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Reproducciones completadas por el segmento B')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Porcentaje de reproducción alcanzado')\n",
    "plt.xticks(range(5, len(df_consumo), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Configuración para agregar el signo de porcentaje al eje y\n",
    "plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter(xmax=1, decimals=0))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "26c796bd-cb11-4de1-9286-7bb5269f73ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con la duración media de las sesiones del segmento B\n",
    "sns.lineplot(data=df_consumo, x='AÑO-MES', y='DURACION MEDIA SESION (SEGMENTO B)', color='#448EF4', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Duración media de las sesiones del segmento B')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Duración media de sesiones (seg)')\n",
    "plt.xticks(range(5, len(df_consumo), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "plt.ylim(0, max(df_consumo['DURACION MEDIA SESION (SEGMENTO B)']*1.1)) # Ajuste del límite del eje y\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6905e73a-7755-48b2-ae68-9c915b180a1c",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Tomando en cuenta el comportamiento de los usuarios en relación al consumo de contenido en la plataforma, se ha detectado que el porcentaje de reproducciones completadas y la duración media de las sesiones han experimentado un notorio descenso desde septiembre de 2021. Este cambio en los patrones de consumo señala una posible conexión con el incremento en las cancelaciones de suscripciones en el segmento B.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac7b08a1-199a-4445-a1e8-aa4808efa06d",
   "metadata": {},
   "source": [
    "### 2.3 - Tiempo medio de inicio sesión"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c15227d1-2b9f-439e-ae94-2f2b33e2f495",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con la duración media de las sesiones del segmento B\n",
    "sns.lineplot(data=df_consumo, x='AÑO-MES', y='TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)', color='#448EF4', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Tiempo medio de inicio sesión del segmento A')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Tiempo medio de inicio de sesión (seg)')\n",
    "plt.xticks(range(5, len(df_consumo), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "plt.ylim(0, max(df_consumo['TIEMPO MEDIO INICIO SESION - REPRODUCCION (SEG) (SEGMENTO A)']*1.1)) # Ajuste del límite del eje y\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8eb31d61-97a4-4d23-98c0-630eedf7a349",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Al contrario que el B, el segmento A no ha experimento ningún cambio relevante en el porcentaje de reproducciones completadas o en la duración media de las sesiones. Sin embargo, sí que llama la atención un incremento muy significativo en el tiempo medio de inicio de sesión del segmento A, que tiene una media de edad de 81 años.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4594c2d2-b0c0-4d4d-b389-b529b0d02577",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 2.4 - Satisfacción de clientes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8e28eb2a-8623-4960-814b-811d65a31566",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>NPS (%) (SEGMENTO A)</th>\n",
       "      <th>NPS (%) (SEGMENTO B)</th>\n",
       "      <th>NPS (%) (SEGMENTO C)</th>\n",
       "      <th>NPS (%) (SEGMENTO D)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>31</td>\n",
       "      <td>85</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>51</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>25</td>\n",
       "      <td>55</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  NPS (%) (SEGMENTO A)  NPS (%) (SEGMENTO B)  \\\n",
       "43  2021    8                    31                    85   \n",
       "44  2021    9                     7                    31   \n",
       "45  2021   10                     4                    28   \n",
       "46  2021   11                     9                    25   \n",
       "47  2021   12                    11                    34   \n",
       "\n",
       "    NPS (%) (SEGMENTO C)  NPS (%) (SEGMENTO D)  \n",
       "43                    48                    62  \n",
       "44                    47                    71  \n",
       "45                    51                    66  \n",
       "46                    55                    67  \n",
       "47                    45                    71  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_satisfaccion.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "559f1c26-59d1-4563-a5e0-ad86ad92fe94",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_satisfaccion['AÑO-MES'] = df_satisfaccion['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_satisfaccion['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "22a0e69a-d047-471f-b253-46bbf451bd1b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con la satisfacción de los clientes del segmento A y B\n",
    "sns.lineplot(data=df_satisfaccion, x='AÑO-MES', y='NPS (%) (SEGMENTO A)', color='#BCBCBC', linewidth=2.5)\n",
    "sns.lineplot(data=df_satisfaccion, x='AÑO-MES', y='NPS (%) (SEGMENTO B)', color='#595959', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Grado de satisfacción del cliente')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('NPS')\n",
    "plt.xticks(range(5, len(df_suscripciones), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "plt.ylim(0, 100) # Ajuste del límite del eje y\n",
    "\n",
    "# Configuración para agregar el signo de porcentaje al eje y\n",
    "plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter())\n",
    "\n",
    "# Último valor de cada línea\n",
    "satisfaccion_a = df_satisfaccion['NPS (%) (SEGMENTO A)'].iloc[-1]\n",
    "satisfaccion_b = df_satisfaccion['NPS (%) (SEGMENTO B)'].iloc[-1]\n",
    "\n",
    "# Leyenda de cada línea\n",
    "plt.text(len(df_satisfaccion) - 1, satisfaccion_a + 1, f'Segmento A: {int(satisfaccion_a)}%')\n",
    "plt.text(len(df_satisfaccion) - 1, satisfaccion_b + 1, f'Segmento B: {int(satisfaccion_b)}%')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "310a303b-b2f9-4d5a-a4bf-c3618d193e46",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "El nivel de satisfacción de los segmentos A y B ha sufrido una caída notable. Ha pasado de una puntuación relativamente estable, con un promedio de 85% para el B y de 28% para el A, a niveles más bajos, situándose en un promedio del 30% y 8%, respectivamente. Por lo tanto, hay ciertos aspectos del servicio que no han sido bien recibidos por los clientes.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b59658e6-2cfa-4ee8-b429-72aa33a3ad43",
   "metadata": {},
   "source": [
    "### 2.5 - Oferta del catálogo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b9a87b88-2b77-4181-8dc5-a310ef8eb6f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>PELICULAS DURACION MEDIA (')</th>\n",
       "      <th>SERIES DURACION MEDIA CAPITULO (')</th>\n",
       "      <th>PELICULAS DRAMA</th>\n",
       "      <th>PELICULAS COMEDIA</th>\n",
       "      <th>PELICULAS ACCION</th>\n",
       "      <th>PELICULAS AVENTURA</th>\n",
       "      <th>PELICULAS TERROR</th>\n",
       "      <th>PELICULAS SUSPENSE</th>\n",
       "      <th>PELICULAS ROMANTICO</th>\n",
       "      <th>PELICULAS CIENCIA FICCION</th>\n",
       "      <th>PELICULAS FANTASIA</th>\n",
       "      <th>PELICULAS INFANTIL</th>\n",
       "      <th>SERIES DRAMA</th>\n",
       "      <th>SERIES COMEDIA</th>\n",
       "      <th>SERIES ACCION</th>\n",
       "      <th>SERIES AVENTURA</th>\n",
       "      <th>SERIES TERROR</th>\n",
       "      <th>SERIES SUSPENSE</th>\n",
       "      <th>SERIES ROMANTICO</th>\n",
       "      <th>SERIES CIENCIA FICCION</th>\n",
       "      <th>SERIES FANTASIA</th>\n",
       "      <th>SERIES INFANTIL</th>\n",
       "      <th>PROMEDIO IMDB PELICULAS</th>\n",
       "      <th>PROMEDIO IMDB SERIES</th>\n",
       "      <th>PROMEDIO AÑO ESTRENO PELICULAS</th>\n",
       "      <th>PROMEDIO AÑO ESTRENO SERIES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>89</td>\n",
       "      <td>31</td>\n",
       "      <td>211</td>\n",
       "      <td>225</td>\n",
       "      <td>204</td>\n",
       "      <td>213</td>\n",
       "      <td>213</td>\n",
       "      <td>214</td>\n",
       "      <td>232</td>\n",
       "      <td>982</td>\n",
       "      <td>946</td>\n",
       "      <td>220</td>\n",
       "      <td>63</td>\n",
       "      <td>66</td>\n",
       "      <td>58</td>\n",
       "      <td>73</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>70</td>\n",
       "      <td>159</td>\n",
       "      <td>158</td>\n",
       "      <td>65</td>\n",
       "      <td>6,4</td>\n",
       "      <td>6,6</td>\n",
       "      <td>2007</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>91</td>\n",
       "      <td>31</td>\n",
       "      <td>281</td>\n",
       "      <td>247</td>\n",
       "      <td>274</td>\n",
       "      <td>243</td>\n",
       "      <td>262</td>\n",
       "      <td>258</td>\n",
       "      <td>283</td>\n",
       "      <td>619</td>\n",
       "      <td>1172</td>\n",
       "      <td>253</td>\n",
       "      <td>83</td>\n",
       "      <td>77</td>\n",
       "      <td>68</td>\n",
       "      <td>85</td>\n",
       "      <td>69</td>\n",
       "      <td>64</td>\n",
       "      <td>98</td>\n",
       "      <td>141</td>\n",
       "      <td>169</td>\n",
       "      <td>73</td>\n",
       "      <td>6,3</td>\n",
       "      <td>6,8</td>\n",
       "      <td>2004</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>94</td>\n",
       "      <td>31</td>\n",
       "      <td>278</td>\n",
       "      <td>294</td>\n",
       "      <td>224</td>\n",
       "      <td>280</td>\n",
       "      <td>248</td>\n",
       "      <td>266</td>\n",
       "      <td>304</td>\n",
       "      <td>525</td>\n",
       "      <td>1202</td>\n",
       "      <td>238</td>\n",
       "      <td>68</td>\n",
       "      <td>82</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>80</td>\n",
       "      <td>78</td>\n",
       "      <td>101</td>\n",
       "      <td>151</td>\n",
       "      <td>191</td>\n",
       "      <td>77</td>\n",
       "      <td>5,9</td>\n",
       "      <td>6,3</td>\n",
       "      <td>2005</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>94</td>\n",
       "      <td>30</td>\n",
       "      <td>271</td>\n",
       "      <td>247</td>\n",
       "      <td>251</td>\n",
       "      <td>247</td>\n",
       "      <td>292</td>\n",
       "      <td>236</td>\n",
       "      <td>246</td>\n",
       "      <td>539</td>\n",
       "      <td>1252</td>\n",
       "      <td>244</td>\n",
       "      <td>81</td>\n",
       "      <td>77</td>\n",
       "      <td>68</td>\n",
       "      <td>80</td>\n",
       "      <td>77</td>\n",
       "      <td>70</td>\n",
       "      <td>93</td>\n",
       "      <td>152</td>\n",
       "      <td>208</td>\n",
       "      <td>74</td>\n",
       "      <td>6,1</td>\n",
       "      <td>6,7</td>\n",
       "      <td>2005</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>94</td>\n",
       "      <td>29</td>\n",
       "      <td>246</td>\n",
       "      <td>282</td>\n",
       "      <td>259</td>\n",
       "      <td>286</td>\n",
       "      <td>256</td>\n",
       "      <td>298</td>\n",
       "      <td>284</td>\n",
       "      <td>501</td>\n",
       "      <td>1265</td>\n",
       "      <td>259</td>\n",
       "      <td>76</td>\n",
       "      <td>71</td>\n",
       "      <td>63</td>\n",
       "      <td>80</td>\n",
       "      <td>68</td>\n",
       "      <td>80</td>\n",
       "      <td>81</td>\n",
       "      <td>150</td>\n",
       "      <td>198</td>\n",
       "      <td>75</td>\n",
       "      <td>5,9</td>\n",
       "      <td>6,7</td>\n",
       "      <td>2006</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  PELICULAS DURACION MEDIA (')  \\\n",
       "43  2021    8                            89   \n",
       "44  2021    9                            91   \n",
       "45  2021   10                            94   \n",
       "46  2021   11                            94   \n",
       "47  2021   12                            94   \n",
       "\n",
       "    SERIES DURACION MEDIA CAPITULO (')  PELICULAS DRAMA  PELICULAS COMEDIA  \\\n",
       "43                                  31              211                225   \n",
       "44                                  31              281                247   \n",
       "45                                  31              278                294   \n",
       "46                                  30              271                247   \n",
       "47                                  29              246                282   \n",
       "\n",
       "    PELICULAS ACCION  PELICULAS AVENTURA  PELICULAS TERROR  \\\n",
       "43               204                 213               213   \n",
       "44               274                 243               262   \n",
       "45               224                 280               248   \n",
       "46               251                 247               292   \n",
       "47               259                 286               256   \n",
       "\n",
       "    PELICULAS SUSPENSE  PELICULAS ROMANTICO  PELICULAS CIENCIA FICCION  \\\n",
       "43                 214                  232                        982   \n",
       "44                 258                  283                        619   \n",
       "45                 266                  304                        525   \n",
       "46                 236                  246                        539   \n",
       "47                 298                  284                        501   \n",
       "\n",
       "    PELICULAS FANTASIA  PELICULAS INFANTIL  SERIES DRAMA  SERIES COMEDIA  \\\n",
       "43                 946                 220            63              66   \n",
       "44                1172                 253            83              77   \n",
       "45                1202                 238            68              82   \n",
       "46                1252                 244            81              77   \n",
       "47                1265                 259            76              71   \n",
       "\n",
       "    SERIES ACCION  SERIES AVENTURA  SERIES TERROR  SERIES SUSPENSE  \\\n",
       "43             58               73             60               62   \n",
       "44             68               85             69               64   \n",
       "45             70               78             80               78   \n",
       "46             68               80             77               70   \n",
       "47             63               80             68               80   \n",
       "\n",
       "    SERIES ROMANTICO  SERIES CIENCIA FICCION  SERIES FANTASIA  \\\n",
       "43                70                     159              158   \n",
       "44                98                     141              169   \n",
       "45               101                     151              191   \n",
       "46                93                     152              208   \n",
       "47                81                     150              198   \n",
       "\n",
       "    SERIES INFANTIL PROMEDIO IMDB PELICULAS PROMEDIO IMDB SERIES  \\\n",
       "43               65                     6,4                  6,6   \n",
       "44               73                     6,3                  6,8   \n",
       "45               77                     5,9                  6,3   \n",
       "46               74                     6,1                  6,7   \n",
       "47               75                     5,9                  6,7   \n",
       "\n",
       "    PROMEDIO AÑO ESTRENO PELICULAS  PROMEDIO AÑO ESTRENO SERIES  \n",
       "43                            2007                         2011  \n",
       "44                            2004                         2009  \n",
       "45                            2005                         2007  \n",
       "46                            2005                         2008  \n",
       "47                            2006                         2009  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_oferta.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5c1a24c2-4e0d-450d-9226-b4ef9037a539",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_oferta['AÑO-MES'] = df_oferta['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_oferta['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "13d4b92a-e459-4423-9e2d-82003822b98b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con la cantidad de películas de ciencia ficción en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='PELICULAS CIENCIA FICCION', color='#BCBCBC')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Evolución de la cantidad de películas de ciencia ficción en el catálogo')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Nº de películas de ciencia ficción')\n",
    "plt.xticks(range(5, len(df_oferta), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21a98eaa-0208-4528-92de-beb7b2317ce6",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Analizando el contenido favorito del segmento B, se observa que en los últimos 4 meses ha habido un <u>descenso general en la cantidad de películas de ciencia ficción en el catálogo</u>. Esta reducción en la oferta de contenido puede ser la principal causa del descontento y la posible disminución en las suscripciones en dicho segmento.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d3beb6ce-661e-4943-a55b-38ec78e3b941",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x750 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figura con 9 subplots\n",
    "fig, ((ax1, ax2, ax3), (ax4, ax5, ax6), (ax7, ax8, ax9)) = plt.subplots(3, 3, figsize=(15, 7.5))\n",
    "\n",
    "# Contenido favorito del segmento B:\n",
    "\n",
    "# Gráfico de barras con la cantidad de series de ciencia ficción en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='SERIES CIENCIA FICCION', color='#BCBCBC', ax=ax1)\n",
    "# Título y etiquetas de los ejes\n",
    "ax1.set(title='Cantidad de series de ciencia ficción en el catálogo', xlabel='', ylabel='')\n",
    "ax1.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con la cantidad de películas de fantasía en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='PELICULAS FANTASIA', color='#BCBCBC', ax=ax2)\n",
    "# Título y etiquetas de los ejes\n",
    "ax2.set(title='Cantidad de películas de fantasía en el catálogo', xlabel='', ylabel='')\n",
    "ax2.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de series de fantasía en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='SERIES FANTASIA', color='#BCBCBC', ax=ax3)\n",
    "# Título y etiquetas de los ejes\n",
    "ax3.set(title='Cantidad de series de fantasía en el catálogo', xlabel='', ylabel='')\n",
    "ax3.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Contenido favorito del segmento A:\n",
    "\n",
    "# Gráfico de barras con cantidad de películas de acción en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='PELICULAS ACCION', color='#BCBCBC', ax=ax4)\n",
    "# Título y etiquetas de los ejes\n",
    "ax4.set(title='Cantidad de películas de acción en el catálogo', xlabel='', ylabel='')\n",
    "ax4.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de películas de aventura en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='PELICULAS AVENTURA', color='#BCBCBC', ax=ax5)\n",
    "# Título y etiquetas de los ejes\n",
    "ax5.set(title='Cantidad de películas de aventura en el catálogo', xlabel='', ylabel='')\n",
    "ax5.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de películas infantiles en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='PELICULAS INFANTIL', color='#BCBCBC', ax=ax6)\n",
    "# Título y etiquetas de los ejes\n",
    "ax6.set(title='Cantidad de películas infantiles en el catálogo', xlabel='', ylabel='')\n",
    "ax6.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de series de acción en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='SERIES ACCION', color='#BCBCBC', ax=ax7)\n",
    "# Título y etiquetas de los ejes\n",
    "ax7.set(title='Cantidad de series de acción en el catálogo', xlabel='', ylabel='')\n",
    "ax7.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de series de aventura en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='SERIES AVENTURA', color='#BCBCBC', ax=ax8)\n",
    "# Título y etiquetas de los ejes\n",
    "ax8.set(title='Cantidad de series de aventura en el catálogo', xlabel='', ylabel='')\n",
    "ax8.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de barras con cantidad de series infantiles en el catálogo\n",
    "sns.barplot(data=df_oferta, x='AÑO-MES', y='SERIES INFANTIL', color='#BCBCBC', ax=ax9)\n",
    "# Título y etiquetas de los ejes\n",
    "ax9.set(title='Cantidad de series infantiles en el catálogo', xlabel='', ylabel='')\n",
    "ax9.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "plt.tight_layout() # Ajuste del espaciado entre subplots\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42a49ae9-1307-4d5a-a116-728812db4a1d",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "En cuanto a los contenidos preferidos del segmento A y al resto del segmento B, no se han observado cambios significativos en el catálogo que puedan dar lugar a posibles descontentos. De modo que, en el caso del segmento A, la causa de las bajas no parece estar relacionada con cambios en la oferta de contenidos.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df75494-2605-48c9-acb1-8a3ad621f79c",
   "metadata": {},
   "source": [
    "### 2.6 - Cambios tecnológicos en la plataforma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "9bf192ae-a910-418b-b5f4-73b81f8a457a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>CAMBIOS UX MoM (TV)</th>\n",
       "      <th>CAMBIOS UX MoM (iPad)</th>\n",
       "      <th>CAMBIOS UX MoM (Smarthphone)</th>\n",
       "      <th>CAMBIOS UX MoM (Otros dispositivos)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0,03</td>\n",
       "      <td>0,01</td>\n",
       "      <td>0,01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>0,45</td>\n",
       "      <td>0,01</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0,02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>0,19</td>\n",
       "      <td>0,05</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0,04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0,02</td>\n",
       "      <td>0,04</td>\n",
       "      <td>0,05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0,04</td>\n",
       "      <td>0,05</td>\n",
       "      <td>0,04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES CAMBIOS UX MoM (TV) CAMBIOS UX MoM (iPad)  \\\n",
       "43  2021    8                0,02                  0,03   \n",
       "44  2021    9                0,45                  0,01   \n",
       "45  2021   10                0,19                  0,05   \n",
       "46  2021   11                   0                  0,02   \n",
       "47  2021   12                   0                  0,04   \n",
       "\n",
       "   CAMBIOS UX MoM (Smarthphone) CAMBIOS UX MoM (Otros dispositivos)  \n",
       "43                         0,01                                0,01  \n",
       "44                         0,02                                0,02  \n",
       "45                         0,02                                0,04  \n",
       "46                         0,04                                0,05  \n",
       "47                         0,05                                0,04  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tecnologia.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "06d6594e-e7c8-4275-9fb5-d40a0e345fde",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Transformación de variables a tipo float\n",
    "df_tecnologia['CAMBIOS UX MoM (TV)'] = df_tecnologia['CAMBIOS UX MoM (TV)'].str.replace(',', '.').astype(float)\n",
    "df_tecnologia['CAMBIOS UX MoM (iPad)'] = df_tecnologia['CAMBIOS UX MoM (iPad)'].str.replace(',', '.').astype(float)\n",
    "df_tecnologia['CAMBIOS UX MoM (Smarthphone)'] = df_tecnologia['CAMBIOS UX MoM (Smarthphone)'].str.replace(',', '.').astype(float)\n",
    "df_tecnologia['CAMBIOS UX MoM (Otros dispositivos)'] = df_tecnologia['CAMBIOS UX MoM (Otros dispositivos)'].str.replace(',', '.').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4b1a65f6-06bb-4608-b2e3-2d334a63546b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_tecnologia['AÑO-MES'] = df_tecnologia['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_tecnologia['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "aa11e87d-ca87-479a-ba73-75b3ed46981d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráfico de barras con el porcentaje de cambios en UX en TV\n",
    "sns.barplot(data=df_tecnologia, x='AÑO-MES', y='CAMBIOS UX MoM (TV)', color='#BCBCBC')\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Evolución mensual del porcentaje de cambios en UX en TV')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Porcentaje de cambio de UX')\n",
    "plt.xticks(range(5, len(df_tecnologia), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "plt.ylim(0, 1) # Ajuste del límite del eje y\n",
    "\n",
    "# Configuración para agregar el signo de porcentaje al eje y\n",
    "plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter(xmax=1, decimals=0))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c431370d-d55e-4df2-b45a-97bac6d7d2ff",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Dado que el segmento A está compuesto principalmente por personas de edad avanzada, es posible que se vean impactadas por modificaciones en la experiencia del usuario. En este sentido, resulta destacable que <u>el dispositivo que ha experimentado los cambios más significativos en términos de experiencia de usuario es la televisión, siendo este dispositivo el más utilizado por el segmento A</u>.\n",
    "<br><br>\n",
    "Esta correlación entre los cambios en la experiencia de usuario en la televisión y la baja de usuarios del segmento A indica que estas modificaciones estén relacionadas con el descontento y las suscripciones canceladas.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a288ff6e-b467-4320-a43d-592d0fb7497a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>INCIDENCIAS</th>\n",
       "      <th>PERSONAL CONTRATADO</th>\n",
       "      <th>AFRT (AVERAGE FIRST RESPONSE TIME) (MINUTOS)</th>\n",
       "      <th>ART (AVERAGE RESOLUTION TIME) (MINUTOS)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>170</td>\n",
       "      <td>10</td>\n",
       "      <td>1091</td>\n",
       "      <td>4145,8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>478</td>\n",
       "      <td>10</td>\n",
       "      <td>1139</td>\n",
       "      <td>3530,9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>632</td>\n",
       "      <td>10</td>\n",
       "      <td>1123</td>\n",
       "      <td>4042,8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>587</td>\n",
       "      <td>10</td>\n",
       "      <td>1048</td>\n",
       "      <td>3668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>452</td>\n",
       "      <td>16</td>\n",
       "      <td>1058</td>\n",
       "      <td>3703</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  INCIDENCIAS  PERSONAL CONTRATADO  \\\n",
       "43  2021    8          170                   10   \n",
       "44  2021    9          478                   10   \n",
       "45  2021   10          632                   10   \n",
       "46  2021   11          587                   10   \n",
       "47  2021   12          452                   16   \n",
       "\n",
       "    AFRT (AVERAGE FIRST RESPONSE TIME) (MINUTOS)  \\\n",
       "43                                          1091   \n",
       "44                                          1139   \n",
       "45                                          1123   \n",
       "46                                          1048   \n",
       "47                                          1058   \n",
       "\n",
       "   ART (AVERAGE RESOLUTION TIME) (MINUTOS)  \n",
       "43                                  4145,8  \n",
       "44                                  3530,9  \n",
       "45                                  4042,8  \n",
       "46                                    3668  \n",
       "47                                    3703  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sac.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f6993cfb-8ff7-4c5f-b58b-2ad2e4a0aa32",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_sac['AÑO-MES'] = df_sac['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_sac['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "247623aa-b52f-4fa7-a6c3-21f2af5c0879",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figura con 2 subplots\n",
    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 5))\n",
    "\n",
    "# Gráfico de líneas con la evolución del número de incidencias en la plataforma\n",
    "sns.lineplot(data=df_sac, x='AÑO-MES', y='INCIDENCIAS', color='#E50914', linewidth=2.5, ax=ax1)\n",
    "# Título y etiquetas de los ejes\n",
    "ax1.set(title='Incidencias en la plataforma', xlabel='', ylabel='Nº de incidencias')\n",
    "ax1.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Gráfico de líneas con el tiempo medio de la primera respuesta\n",
    "sns.lineplot(data=df_sac, x='AÑO-MES', y='AFRT (AVERAGE FIRST RESPONSE TIME) (MINUTOS)', color='#E50914', linewidth=2.5, ax=ax2)\n",
    "# Título y etiquetas de los ejes\n",
    "ax2.set(title='Tiempo medio de la primera respuesta', xlabel='', ylabel='Tiempo medio (minutos)')\n",
    "ax2.set_xticks(range(11, len(df_oferta), 12)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca1f40c2-2175-46cc-a232-73a934aa09cf",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Para una validación más sólida de las causas identificadas detrás del aumento en las cancelaciones, se ha examinado los datos del servicio de atención al consumidor. Al realizar esto, se puede constatar un notable aumento en las incidencias reportadas en la plataforma durante los meses que se han producido modificaciones en el catálogo de películas de ciencia ficción y las altas alteraciones en la experiencia de usuario en la televisión. Además, también se ha registrado un incremento del 194% en el tiempo promedio de la primera respuesta proporcionada a los usuarios.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4821ff7e-d2ca-499f-bed9-c474befc679b",
   "metadata": {},
   "source": [
    "### 2.7 - Precio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "93c88688-f1d6-4138-87b1-75c5b48d28e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>PLAN BASICO</th>\n",
       "      <th>PLAN ESTANDAR</th>\n",
       "      <th>PLAN PREMIUM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>8,99</td>\n",
       "      <td>12,99</td>\n",
       "      <td>15,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>9,99</td>\n",
       "      <td>12,99</td>\n",
       "      <td>16,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>9,99</td>\n",
       "      <td>12,99</td>\n",
       "      <td>16,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>9,99</td>\n",
       "      <td>12,99</td>\n",
       "      <td>16,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>9,99</td>\n",
       "      <td>12,99</td>\n",
       "      <td>16,99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES PLAN BASICO PLAN ESTANDAR PLAN PREMIUM\n",
       "43  2021    8        8,99         12,99        15,99\n",
       "44  2021    9        9,99         12,99        16,99\n",
       "45  2021   10        9,99         12,99        16,99\n",
       "46  2021   11        9,99         12,99        16,99\n",
       "47  2021   12        9,99         12,99        16,99"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_precio.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "1823ff0c-4746-4b69-acde-bfb556605bab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Transformación de variables a tipo float\n",
    "df_precio['PLAN BASICO'] = df_precio['PLAN BASICO'].str.replace(',', '.').astype(float)\n",
    "df_precio['PLAN ESTANDAR'] = df_precio['PLAN ESTANDAR'].str.replace(',', '.').astype(float)\n",
    "df_precio['PLAN PREMIUM'] = df_precio['PLAN PREMIUM'].str.replace(',', '.').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2f9cad82-44a8-47b7-ab99-eeda138c6fd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Conversión de 0 a nulos\n",
    "df_precio.replace(0, np.nan, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "5661bf42-f0da-4b1f-94c3-1f12c62de6af",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_precio['AÑO-MES'] = df_precio['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_precio['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "698d1385-1684-486e-b500-deda21cc6c1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA6oAAAHCCAYAAADmRDQAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAA9hAAAPYQGoP6dpAABcPklEQVR4nO3dd3QV1d7G8eek99BJQgmBUBXpIFgI0kIvNkQlqCjWi6A0kRtQpNgQK8hFQFRQpKiAICJBEKSjKC0gVQidBAKk7vcPXw45JIEEk5wJ+X7WyrrOzJ6Z32xHLk/2zGybMcYIAAAAAACLcHF2AQAAAAAAZERQBQAAAABYCkEVAAAAAGApBFUAAAAAgKUQVAEAAAAAlkJQBQAAAABYCkEVAAAAAGApBFUAAAAAgKUQVAEAAAAAlkJQBYBCasCAASpXrpwOHjzo7FIAAADyFEEVQKE1bdo02Wy2bH9iYmLy7dyVKlVS79698+34I0aMkM1my3b7vHnz9Mknn+j7779XhQoV8q2OjGw2m0aMGJHr/fbt2yebzaZp06bleU35rXfv3qpUqVKhO8+17h9nu957CQBQdLg5uwAA+LemTp2qGjVqZFpfq1YtJ1STN/r06aPIyMgst/3111/q27ev5syZo1tuuaWAKytahg8frn79+jm7DAAAihyCKoBC7+abb1bDhg2dXUaeKl++vMqXL5/ltsqVK+vYsWMFXJH1nT9/Xj4+Pnl6zCpVquTp8QAAQM7w6C+AG169evV0xx13ZFqflpamcuXKqXv37vZ1p06d0tNPP61y5crJw8NDlStX1rBhw5SUlHTVc1x6DHnfvn0O62NiYrJ8DHnx4sVq2bKlAgMD5ePjo5o1a2rMmDH27Vk9upmenq7XX39dNWrUkKenp8qUKaNevXrp0KFDDu0iIiJ08803a/369brjjjvk4+OjypUra+zYsUpPT7/qdUhSQkKCHn/8cZUsWVJ+fn6KjIzUrl27smwbGxurnj17qkyZMvL09FTNmjX1wQcfXPMcWbnUV5999pkGDBigoKAgeXt7q3nz5tq8ebND2969e8vPz09bt25VmzZt5O/vr5YtW0qSkpOTNWrUKHs/lS5dWo888oiOHz+e6ZxffPGFmjZtKj8/P/n5+alu3bqaMmWKw3mufCT34sWLGjp0qMLCwuTh4aFy5crpmWee0ZkzZ3J0ndOmTVP16tXt/fXpp59m2S4315ETOb1/Nm/erI4dO9r/nYaEhKhDhw6Z2l3p0n23cuVK3XrrrfL29la5cuU0fPhwpaWlXXXf48eP6+mnn1atWrXk5+enMmXK6K677tLKlSsd2l16jPzNN9/U22+/rbCwMPn5+alp06b69ddfMx13w4YN6ty5s0qUKCEvLy/Vq1dPX331lUOb8+fP68UXX1RYWJi8vLxUokQJNWzYUDNnzrxqzQCA/MWIKoBCLy0tTampqQ7rbDabXF1dJUmPPPKI+vXrp9jYWFWtWtXe5ocfftDhw4f1yCOPSPongLRo0UJ79uzRyJEjdcstt2jlypUaM2aMtmzZooULF+ZJvVOmTNHjjz+u5s2ba+LEiSpTpox27dqlP/7446r7PfXUU/r444/17LPPqmPHjtq3b5+GDx+umJgYbdq0SaVKlbK3jYuL04MPPqgXXnhB0dHRmjdvnoYOHaqQkBD16tUr23MYY9S1a1etXr1a//3vf9WoUSP98ssvateuXaa227ZtU7NmzVSxYkW99dZbCgoK0pIlS/Sf//xHJ06cUHR09HX1z0svvaT69evrf//7n+Lj4zVixAhFRERo8+bNqly5sr1dcnKyOnfurL59+2rIkCFKTU1Venq6unTpopUrV2rQoEFq1qyZ9u/fr+joaEVERGjDhg3y9vaWJP33v//Vq6++qu7du+uFF15QYGCg/vjjD+3fv/+a/bNs2TINHTpUd9xxh37//XdFR0drzZo1WrNmjTw9PbPdf9q0aXrkkUfUpUsXvfXWW/brS0pKkovL5d8d5+Y6cion909iYqJat26tsLAwffDBBypbtqzi4uK0fPlynT179prniIuLU48ePTRkyBC98sorWrhwoUaNGqXTp0/r/fffz3a/U6dOSZKio6MVFBSkc+fOad68eYqIiNCyZcsUERHh0P6DDz5QjRo19M4770j65xHt9u3ba+/evQoMDJQkLV++XJGRkWrSpIkmTpyowMBAzZo1S/fff7/Onz9vf8d8wIABmjFjhkaNGqV69eopMTFRf/zxh06ePJmr/gUA5DEDAIXU1KlTjaQsf1xdXe3tTpw4YTw8PMxLL73ksP99991nypYta1JSUowxxkycONFIMl999ZVDu3HjxhlJ5ocffrCvCw0NNVFRUZlq2bt3r8O+y5cvN5LM8uXLjTHGnD171gQEBJjbb7/dpKenZ3tt0dHRJuMf0du3bzeSzNNPP+3Qbu3atUaSw7U1b97cSDJr1651aFurVi3Ttm3bbM9pjDHff/+9kWQmTJjgsP61114zkkx0dLR9Xdu2bU358uVNfHy8Q9tnn33WeHl5mVOnThljjNm7d6+RZKZOnXrVc1/qq/r16zv0zb59+4y7u7vp06ePfV1UVJSRZD755BOHY8ycOdNIMnPmzHFYv379eiPJfPjhh8YYY/766y/j6upqHnzwwavWFBUVZUJDQ+3LixcvNpLM66+/7tDuyy+/NJLMxx9/nO2x0tLSTEhISLbXl/E8Ob2O7Fzv/bNhwwYjycyfP/+qx8/Kpfvum2++cVj/+OOPGxcXF7N//377uivvpSulpqaalJQU07JlS9OtWzf7+kv3Uu3atU1qaqp9/bp164wkM3PmTPu6GjVqmHr16tn/+76kY8eOJjg42KSlpRljjLn55ptN165dc329AID8xaO/AAq9Tz/9VOvXr3f4Wbt2rX17yZIl1alTJ02fPt3+6Ovp06f1zTffqFevXnJz++fhkp9++km+vr665557HI5/aeRl2bJl/7rW1atXKyEhQU8//XSuvsq6fPlyh1ouady4sWrWrJmptqCgIDVu3Nhh3S233HLV0cKM53nwwQcd1vfs2dNh+eLFi1q2bJm6desmHx8fpaam2n/at2+vixcvZvkoZk707NnToW9CQ0PVrFkze20Z3X333Q7LCxYsULFixdSpUyeHmurWraugoCD7I9hLly5VWlqannnmmVzV9tNPP0nK/O/h3nvvla+v71XvkZ07d+rw4cPZXt/1XEdO5fT+CQ8PV/HixTV48GBNnDhR27Zty9V5/P391blzZ4d1PXv2VHp6un7++eer7jtx4kTVr19fXl5ecnNzk7u7u5YtW6bt27dnatuhQwf7ExOS7B8Vu3R/7969Wzt27LDfx1fen0eOHNHOnTvtffD9999ryJAhiomJ0YULF3J1zQCA/EFQBVDo1axZUw0bNnT4adCggUObRx99VH///beWLl0qSZo5c6aSkpIc/uJ+8uRJBQUFZQqQZcqUkZubW548Cnjp/cLsPpSUnUvnDg4OzrQtJCQkU20lS5bM1M7T0/Oafwk/efKk3NzcMu0fFBSUqV1qaqree+89ubu7O/y0b99eknTixIlrX1gWrjzXpXVXXqOPj48CAgIc1h09elRnzpyRh4dHprri4uLsNf2bfw9ubm4qXbq0w3qbzZZljVfue7Xru57ryE3d0rXvn8DAQK1YsUJ169bVSy+9pJtuukkhISGKjo5WSkrKNc9TtmzZbK/tan3z9ttv66mnnlKTJk00Z84c/frrr1q/fr0iIyOzvGevvD8vPW59qe3Ro0clSS+++GKm/nv66aclXb4/3333XQ0ePFjz589XixYtVKJECXXt2lWxsbHXvF4AQP7hHVUARULbtm0VEhKiqVOnqm3btpo6daqaNGniMIVNyZIltXbtWhljHMLqsWPHlJqa6vAO6JW8vLwkKdNHl64MFJcCzrU+THOlS38xP3LkSKZwdfjw4avWltvzpKam6uTJkw5hIC4uzqFd8eLF5erqqocffjjbUcmwsLDrquHKc11ad2U4yWpEulSpUipZsqQWL16c5bH9/f0lOf57yM08tJf65/jx4w5h1RijuLg4NWrU6Kr7XrqWK125LqfXkZu6pZzdP7Vr19asWbNkjNHvv/+uadOm6ZVXXpG3t7eGDBly1fNcCogZXbq2rH55cslnn32miIgIffTRRw7rc/JebFYuXc/QoUMdPpaWUfXq1SVJvr6+GjlypEaOHKmjR4/aR1c7deqkHTt2XNf5AQD/HiOqAIqES6Fq/vz5WrlypTZs2KBHH33UoU3Lli117tw5zZ8/32H9pa+yXvqqbFYufRn2999/d1j/7bffOiw3a9ZMgYGBmjhxoowxOa7/rrvukvTPX+gzWr9+vbZv337V2nKjRYsWkqTPP//cYf0XX3zhsOzj46MWLVpo8+bNuuWWWzKNaDds2PCqweRqZs6c6dA3+/fv1+rVqzN9UCcrHTt21MmTJ5WWlpZlTZfCSZs2beTq6popGF3LpX6+8t/DnDlzlJiYeNV/D9WrV1dwcHC213c915FT13P/2Gw21alTR+PHj1exYsW0adOma57n7Nmzme75L774Qi4uLrrzzjuz3c9ms2X6CNXvv/+uNWvWXPOcWalevbqqVq2q3377Lcv+a9iwYZZhv2zZsurdu7ceeOAB7dy5U+fPn7+u8wMA/j1GVAEUen/88Uemr/5K/8yBmXHU69FHH9W4cePUs2dPeXt76/7773do36tXL33wwQeKiorSvn37VLt2ba1atUqjR49W+/bt1apVq2xraNSokapXr64XX3xRqampKl68uObNm6dVq1Y5tPPz89Nbb72lPn36qFWrVnr88cdVtmxZ7d69W7/99lu2X0atXr26nnjiCb333ntycXFRu3bt7F9trVChgvr375+bLstWmzZtdOedd2rQoEFKTExUw4YN9csvv2jGjBmZ2k6YMEG333677rjjDj311FOqVKmSzp49q927d+u7776zv8+ZW8eOHVO3bt30+OOPKz4+XtHR0fLy8tLQoUOvuW+PHj30+eefq3379urXr58aN24sd3d3HTp0SMuXL1eXLl3UrVs3VapUSS+99JJeffVVXbhwQQ888IACAwO1bds2nThxQiNHjszy+K1bt1bbtm01ePBgJSQk6LbbbrN/9bdevXp6+OGHs63NxcVFr776qvr06WO/vjNnzmjEiBGZHv3N6XXkVE7vnwULFujDDz9U165dVblyZRljNHfuXJ05c0atW7e+5nlKliypp556SgcOHFC1atW0aNEiTZ48WU899ZQqVqyY7X4dO3bUq6++qujoaDVv3lw7d+7UK6+8orCwsCz/286JSZMmqV27dmrbtq169+6tcuXK6dSpU9q+fbs2bdqk2bNnS5KaNGmijh076pZbblHx4sW1fft2zZgxQ02bNs3zeXkBALngxA85AcC/crWv/koykydPzrRPs2bNjKRsv/Z68uRJ8+STT5rg4GDj5uZmQkNDzdChQ83Fixcd2l351V9jjNm1a5dp06aNCQgIMKVLlzbPPfecWbhwocNXfy9ZtGiRad68ufH19TU+Pj6mVq1aZty4cfbtV3611Zh/vho7btw4U61aNePu7m5KlSplHnroIXPw4EGHds2bNzc33XRTpmu78gu22Tlz5ox59NFHTbFixYyPj49p3bq12bFjR5Zfat27d6959NFHTbly5Yy7u7spXbq0adasmRk1apRDG+Xiq78zZsww//nPf0zp0qWNp6enueOOO8yGDRsyXYuvr2+Wx0lJSTFvvvmmqVOnjvHy8jJ+fn6mRo0apm/fviY2Ntah7aeffmoaNWpkb1evXj2HOrPqswsXLpjBgweb0NBQ4+7uboKDg81TTz1lTp8+fdXru+R///ufqVq1qvHw8DDVqlUzn3zySZbnyc11XOl6758dO3aYBx54wFSpUsV4e3ubwMBA07hxYzNt2rRrXtel+y4mJsY0bNjQeHp6muDgYPPSSy9l+vLulfdSUlKSefHFF025cuWMl5eXqV+/vpk/f36mfrl0L73xxhuZzp/V/fnbb7+Z++67z5QpU8a4u7uboKAgc9ddd5mJEyfa2wwZMsQ0bNjQFC9e3Hh6eprKlSub/v37mxMnTlzzmgEA+cdmTC6ePQMAIJ/ExMSoRYsWmj17dqYvL8P6IiIidOLEiWvOBwwAQE7wjioAAAAAwFIIqgAAAAAAS+HRXwAAAACApTCiCgAAAACwFIIqAAAAAMBSCKoAAAAAAEtxc3YB+S09PV2HDx+Wv7+/bDabs8sBAAAA4CTGGJ09e1YhISFycWHMzspu+KB6+PBhVahQwdllAAAAALCIgwcPqnz58s4uA1dxwwdVf39/Sf/cjAEBAU6uBgAAAICzJCQkqEKFCvaMAOu64YPqpcd9AwICCKoAAAAAeCWwEODBbAAAAACApRBUAQAAAACWQlAFAAAAAFgKQRUAAAAAYCkEVQAAAADIwGazaf78+c4uo0gjqAIAAABwqt69e8tms8lms8nd3V2VK1fWiy++qMTERKfUc+TIEbVr184p577S3Llz1bZtW5UqVUo2m01btmzJst2aNWt01113ydfXV8WKFVNERIQuXLiQ7XHPnj2r559/XqGhofL29lazZs20fv16hzZHjx5V7969FRISIh8fH0VGRio2NvaaNcfHx2vw4MEKDw+Xn5+fGjVqpLlz5+bqugmqAAAAAJwuMjJSR44c0V9//aVRo0bpww8/1Isvvphl25SUlHytJSgoSJ6envl6jpxKTEzUbbfdprFjx2bbZs2aNYqMjFSbNm20bt06rV+/Xs8++6xcXLKPe3369NHSpUs1Y8YMbd26VW3atFGrVq30999/S5KMMeratav++usvffPNN9q8ebNCQ0PVqlWrq/4CISUlRR06dNCyZcv00UcfaevWrXr11Vc1adKk3F24ucHFx8cbSSY+Pt7ZpQAAAADIQlRUlOnSpYvDuj59+pigoCBjjDHR0dGmTp06ZsqUKSYsLMzYbDaTnp5uzpw5Yx5//HFTunRp4+/vb1q0aGG2bNliP0bG/SpUqGB8fX2NJHPq1Ckzbtw4U7ZsWVO6dGkzatQoh3NLMvPmzTPGGLN8+XIjyZw+fdq+ffPmzUaS2bt3rzHGmKlTp5rAwEDz3XffmWrVqhlvb29z9913m3Pnzplp06aZ0NBQU6xYMfPss8+a1NTU6+qjvXv3Gklm8+bNmbY1adLEvPzyyzk+1vnz542rq6tZsGCBw/o6deqYYcOGGWOM2blzp5Fk/vjjD/v21NRUU6JECTN58uRsj/3NN98YT09Pc/ToUYf16enpOa7PGGMYUQUAAABgOd7e3g4jp7t379ZXX32lOXPm2B9/7dChg+Li4rRo0SJt3LhR9evXV8uWLXXq1Cn7fnv27NH333+vxYsXa8qUKZKke++9V4cOHdKKFSs0btw4vfzyy/r111//Vb3nz5/Xu+++q1mzZmnx4sWKiYlR9+7dtWjRIi1atEgzZszQxx9/rK+//tq+z4gRI1SpUqV/dd5jx45p7dq1KlOmjJo1a6ayZcuqefPmWrVqVbb7pKamKi0tTV5eXg7rvb297fslJSVJkkMbV1dXeXh4ZHvsLl266N5771VycrIqV64sPz8/+fn56cknn5TNZsvVdbnlqjUAAAAA5LN169bpiy++UMuWLe3rkpOTNWPGDJUuXVqS9NNPP2nr1q06duyY/THdN998U/Pnz9fXX3+tJ554QpKUnp6uTz75RP7+/ipfvrwkKTY2Vj/88INcXFxUvXp1jRs3TjExMbr11luvu+aUlBR99NFHqlKliiTpnnvu0YwZM3T06FH5+fmpVq1aatGihZYvX677779fklSqVCl7++v1119/Sfon9L755puqW7euPv30U7Vs2VJ//PGHqlatmmkff39/NW3aVK+++qpq1qypsmXLaubMmVq7dq29fY0aNRQaGqqhQ4dq0qRJ8vX11dtvv624uDgdOXIky1omTJigF154QfHx8Zo4caJ9/aV/Z7nBiCoAAAAAp1uwYIH8/Pzk5eWlpk2b6s4779R7771n3x4aGuoQeDZu3Khz586pZMmS9pE7Pz8/7d27V3v27LG3q1Spkvz9/R3OVaNGDYf3N8uWLatjx479q/p9fHwcQmfZsmVVqVIl+fn5ZXueZ599VsuWLftX501PT5ck9e3bV4888ojq1aun8ePHq3r16vrkk0+y3W/GjBkyxqhcuXLy9PTUu+++q549e8rV1VWS5O7urjlz5mjXrl0qUaKEfHx8FBMTo3bt2tnbXKlfv3769ttvFRMTo7p166pu3bp65513FBgYmOvrYkQVAAAAgNO1aNFCH330kdzd3RUSEiJ3d3eH7b6+vg7L6enpCg4OVkxMTKZjFStWzP7PVx4nq3U2m80e+K50KdAaY+zrsvqYU1bHzM15rldwcLAkqVatWg7ra9asqQMHDmS7X5UqVbRixQolJiYqISFBwcHBuv/++xUWFmZv06BBA23ZskXx8fFKTk5W6dKl1aRJEzVs2DDLY06YMEHNmjXTa6+9pg0bNsjFxUVlypS5rutiRBUAAACA0/n6+io8PFyhoaFZhssr1a9fX3FxcXJzc1N4eLjDT6lSpfKsrkujuBkfd81uihhnqFSpkkJCQrRz506H9bt27VJoaOg19/f19VVwcLBOnz6tJUuWqEuXLpnaBAYGqnTp0oqNjdWGDRuybHOplp49eyoxMVE7d+5UeHi4AgICJEkHDx7M1XUxogoAAAAUAheX/qT4AUOUfuSos0u5Lr7P9lXAiJfy7HitWrVS06ZN1bVrV40bN07Vq1fX4cOHtWjRInXt2jXbUb/cCg8PV4UKFTRixAiNGjVKsbGxeuutt/Lk2O+//77mzZt31cd/T506pQMHDujw4cOSZA+kQUFBCgoKks1m08CBAxUdHa06deqobt26mj59unbs2OHw4aaWLVuqW7duevbZZyVJS5YskTFG1atX1+7duzVw4EBVr15djzzyiH2f2bNnq3Tp0qpYsaK2bt2qfv36qWvXrmrTpk229VaoUEGDBg3SY489pgkTJujWW2/Vb7/9pueff1779u3Lcd8QVAEAAACLMxcv6kyfZ5R+/ISzS7l+qal5ejibzaZFixZp2LBhevTRR3X8+HEFBQXpzjvvVNmyZfPsPO7u7po5c6aeeuop1alTR40aNdKoUaN07733/utjnzhxwuF92qx8++23DuGxR48ekqTo6GiNGDFCkvT888/r4sWL6t+/v06dOqU6depo6dKlDu/M7tmzRydOXL5/4uPjNXToUB06dEglSpTQ3Xffrddee81hNPvIkSMaMGCAjh49quDgYPXq1UvDhw+/5nW99tprCgwM1EsvvaS4uDjVrl1b48ePz1GfXGIzGR+2vgElJCQoMDBQ8fHx9mFnAAAAoDA5/9ksnXniOWeX8a/4DXhOAaP+69QayAaFByOqAAAAgIUZY5T40f/sy7bAAPn2fcyJFV0fj9uuf+oXFD0EVQAAAMDCUtauV8rm3+zLPlEP5um7noAV8dVfAAAAwMLOfTj58oLNJt++jzqvGKCAEFQBAAAAi0r7+4guzl9gX/Zq31ZuYZWcVxBQQAiqAAAAgEUl/m+aw9dyfZ/q47xigAJEUAUAAAAsyFy8qPOffGpfdqtRTR4t7nRiRUDBIagCAAAAFnRhzjcO86b6PtlHNpvNiRUBBYegCgAAAFiMMUaJGT6iZAsMkHfPe51YEVCwCKoAAACAxWQ1JY2Ln58TKwIKFkEVAAAAsJjEj/53eYEpaVAEEVQBAAAAC0k7HKcL876zL3u2a8OUNChyCKoAAACAhVw5JY3f0487rxjASQiqAAAAgEWYpCSdnzLdvsyUNCiqCKoAAACARVz4ej5T0gAiqAIAAACWwJQ0wGUEVQAAAMACUtZtcJySpldPpqRBkUVQBQAAACwg42gqU9KgqCOoAgAAAE6W5ZQ0lcOcWBHgXARVAAAAwMmunJLG96k+zisGsACCKgAAAOBEJilJ5z/51L7sVqOaPO9q7sSKAOcjqAIAAABOdGHON0o/dty+zJQ0AEEVAAAAcBqmpAGyRlAFAAAAnCRl/UalbNpiX2ZKGuAfBFUAAADASZiSBsgaQRUAAABwgrTDcbow91v7smdka6akAf4fQRUAAABwgsQp0x2npHn6cSdWA1gLQRUAAAAoYCYpSeenTLcvu1WvypQ0QAYEVQAAAKCAMSUNcHUEVQAAAKAAZZqSJsBf3g/e58SKAOtxalD9+eef1alTJ4WEhMhms2n+/PmZ2mzfvl2dO3dWYGCg/P39deutt+rAgQMFXywAAACQB5iSBrg2pwbVxMRE1alTR++//36W2/fs2aPbb79dNWrUUExMjH777TcNHz5cXl5eBVwpAAAAkDeYkga4Npsxxji7CEmy2WyaN2+eunbtal/Xo0cPubu7a8aMGdd93ISEBAUGBio+Pl4BAQF5UCkAAABwfdIOx+lojXr2r/16tmujknM+d3JVRQfZoPBwc3YB2UlPT9fChQs1aNAgtW3bVps3b1ZYWJiGDh3qEGavlJSUpKSkJPtyQkJCAVQLAABuNMfvaq/U3/90dhm4wZjUVMcpaZ7q48RqAOuybFA9duyYzp07p7Fjx2rUqFEaN26cFi9erO7du2v58uVq3jzrz3ePGTNGI0eOLOBqAQDADediksz5886uAjcwt+pV5dkywtllAJZk2a/+pqenS5K6dOmi/v37q27duhoyZIg6duyoiRMnZrvf0KFDFR8fb/85ePBgQZUMAAAA5JjfoP5MSQNkw7IjqqVKlZKbm5tq1arlsL5mzZpatWpVtvt5enrK09Mzv8sDAAA3OJ+oB5XWpqWzy8CNyGaTR6MG8mrfxtmVAJZl2aDq4eGhRo0aaefOnQ7rd+3apdDQUCdVBQAAigq+xAoAzuPUoHru3Dnt3r3bvrx3715t2bJFJUqUUMWKFTVw4EDdf//9uvPOO9WiRQstXrxY3333nWJiYpxXNAAAAAAgXzl1epqYmBi1aNEi0/qoqChNmzZNkvTJJ59ozJgxOnTokKpXr66RI0eqS5cuOT4Hn6AGAAAAIJENChPLzKOaX7gZAQAAAEhkg8LEsl/9BQAAAAAUTQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJZCUAUAAAAAWApBFQAAAABgKQRVAAAAAIClEFQBAAAAAJbi1KD6888/q1OnTgoJCZHNZtP8+fOzbdu3b1/ZbDa98847BVYfAAAAAKDgOTWoJiYmqk6dOnr//fev2m7+/Plau3atQkJCCqgyAAAAAICzuDnz5O3atVO7du2u2ubvv//Ws88+qyVLlqhDhw4FVBkAAAAAwFmcGlSvJT09XQ8//LAGDhyom266KUf7JCUlKSkpyb6ckJCQX+UBAAAAAPKBpT+mNG7cOLm5uek///lPjvcZM2aMAgMD7T8VKlTIxwoBAAAAAHnNskF148aNmjBhgqZNmyabzZbj/YYOHar4+Hj7z8GDB/OxSgAAAABAXrNsUF25cqWOHTumihUrys3NTW5ubtq/f79eeOEFVapUKdv9PD09FRAQ4PADAAAAACg8LPuO6sMPP6xWrVo5rGvbtq0efvhhPfLII06qCgAAAACQ35waVM+dO6fdu3fbl/fu3astW7aoRIkSqlixokqWLOnQ3t3dXUFBQapevXpBlwoAAAAAKCBODaobNmxQixYt7MsDBgyQJEVFRWnatGlOqgoAAAAA4ExODaoREREyxuS4/b59+/KvGAAAAACAJVj2Y0oAAAAAgKKJoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACzFzdkFAAAAAEB+mzRpkipUqODsMpBDjKgCAAAAuKF99tlnmjx5surVq5cnx7PZbJo/f36eHAtZI6gCAAAAcKrevXvLZrNl+omMjMzR/pUqVdI777yT5bbY2FiNGzdOCxculK+vbx5WXTA+/vhjRUREKCAgQDabTWfOnHHYvm/fPj322GMKCwuTt7e3qlSpoujoaCUnJ1/1uEePHlXv3r0VEhIiHx8fRUZGKjY21qHNnj171K1bN5UuXVoBAQG67777dPTo0WvWfOTIET355JMKDQ2Vv7+/mjdvrpiYmFxdN0EVAAAAgNNFRkbqyJEjDj8zZ87818etWrWqtm7dqrJly+ZBlXkjJSUlx23Pnz+vyMhIvfTSS1lu37Fjh9LT0zVp0iT9+eefGj9+vCZOnJhte0kyxqhr167666+/9M0332jz5s0KDQ1Vq1atlJiYKElKTExUmzZtZLPZ9NNPP+mXX35RcnKyOnXqpPT09GyPfebMGUVEROivv/7S559/ri1btqh///768MMPc3zNl4q8ocXHxxtJJj4+3tmlAAAAAMhCVFSU6dKly1XbREdHmwoVKhgPDw8THBxsnnvuOWOMMc2bNzeSHH6MMebEiROmR48eply5csbb29vcfPPNZsqUKQ7ZoHnz5ua5554zAwcONMWLFzdly5Y10dHRDufdtWuXueOOO4ynp6epWbOm+eGHH4wkM2/ePHubQYMGmapVqxpvb28TFhZmXn75ZZOcnOxQe506dcyUKVNMWFiYsdlsJj09PVd9tHz5ciPJnD59+pptX3/9dRMWFpbt9p07dxpJ5o8//rCvS01NNSVKlDCTJ082xhizZMkS4+Li4pCjTp06ZSSZpUuXZnvsCRMmmKCgIHPx4kWH9bm9XkZUAQAAAFja119/rfHjx2vSpEmKjY3V/PnzVbt2bUnS3LlzVb58eb3yyiv2kVhJunDhgurVq6cFCxZo69at6tOnjx5//PFMx54+fbp8fX21du1avf7663rllVe0dOlSSVJ6erq6d+8uV1dX/frrr5o4caIGDx6c6Rj+/v6aNm2atm3bpgkTJmjy5MkaP368Q5vdu3frq6++0pw5c7RlyxZJ/zzyHBERkYc99Y/4+HiVKFEi2+1JSUmSJC8vL/s6V1dXeXh4aNWqVfY2NptNnp6e9jZeXl5ycXGxt7lSvXr19MILL+j48eMqWbKk/Pz85Ofnp9GjR8tms+XqGvjqLwAAAACnW7Bggfz8/BzWDR48WMOHD9eBAwcUFBSkVq1ayd3dXRUrVlTjxo0lSSVKlJCrq6v8/f0VFBRk37d8+fIaNGiQfblfv35asGCBfvzxR4dz3HLLLYqOjpb0z2PC77//vpYtW6bWrVvrxx9/1Pbt27Vv3z6VL19ekjR69Gi1a9fO4Rgvv/yy/Z8rVaqkF154QV9++aXD+ZOTkzVjxgyVLl3avi44OPiqj9Fejz179ui9997TW2+9lW2bGjVqKDQ0VEOHDtWkSZPk6+urt99+W3Fxcfagf+utt8rX11eDBw/W6NGjZYzR4MGDlZ6ebm+TkTFGs2fP1oMPPqgaNWpo+PDh9m0hISG5vg5GVAEAAAA4XYsWLbRlyxaHn2eeeUaSdO+99+rChQuqXLmyHn/8cc2bN0+pqalXPV56errGjx+vpk2bqmLFigoKCspyJPCWW25xWA4ODtaxY8ckSdu3b1fFihXtIVWSmjZtmukYX3/9tW6//XYFBQXJz8/PHq4zCg0NdQipkjRmzBh9+umnV72O3Dh8+LAiIyN17733qk+fPtm2c3d315w5c7Rr1y6VKFFCPj4+iomJUbt27eTq6ipJKl26tGbPnq3vvvtOfn5+CgwMVHx8vOrXr29vk5HNZtO9996rDRs26IsvvlDdunVVt25dzZ07Vz4+Prm+FkZUAQAAADidr6+vwsPDs9xWoUIF7dy5U0uXLtWPP/6op59+Wm+88YZWrFghd3f3LPd55513NG7cOE2aNEm1a9eWr6+vHnvsMS1atMih3ZX722w2+yinMSbTca98hPXXX39Vjx49NHLkSLVt21aBgYGaNWtWphHN/P7i8OHDh9WiRQs1bdpUH3/88TXbN2jQQFu2bFF8fLySk5NVunRpNWnSRA0bNrS3adOmjfbs2aMTJ07Izc1NxYoVU1BQkMLCwjId79KI6rvvvqslS5Zo4cKFkq5vNFViRBUAAABAIeDt7a3OnTvr3XffVUxMjNasWaOtW7dKkjw8PJSWlubQfvny5erUqZO6du2qKlWqqHTp0tqxY0euzlmrVi0dOHBAhw8ftq9bs2aNQ5tffvlFoaGhGjZsmBo2bKiqVatq//7913mV1+fvv/9WRESE6tevr6lTp8rFJecxLzAwUKVLl1ZsbKw2bNigLl26ZGpTqlQpFStWTD/99JOOHTumzp07Z2pjs9kUHh6uHj16KDY2VufPn1d4eLh9NPXgwYO5uiZGVAEAALJwZmeStow+pnMHcj6NBIDsVekRqJp9S2a7PSkpSXFxcQ7r3NzcVKpUKU2bNk1paWlq0qSJfHx8NGPGDHl7eys0NFTSP++F/vzzz+rRo4c8PT1VqlQpValSRXPmzNHq1atVrFgxvfXWWzpx4kSuam7VqpWqV6+uXr166a233lJCQoKGDRvm0CY8PFwHDhzQrFmz1KhRIy1cuFDz5s3L0fGHDh2qv//++6qP/8bFxSkuLk67d++WJG3dulX+/v6qWLGiSpQoocOHDysiIkIVK1bUm2++qePHj9v3zfjObo0aNTRmzBh169ZNkjR79myVLl1aFStW1NatW9WvXz917dpVbdq0se8zdepU1axZU6VLl9aaNWvUr18/9e/fX9WrV8+23mbNmqlHjx7q3r27JkyYoFq1amnlypV69913tWHDhhz1i0RQBQAAyNIfE04ofleys8sAbhjpV3+lVIsXL1ZwcLDDuurVq2vHjh0qVqyYxo4dqwEDBigtLU21a9fWd999p5Il/wm+r7zyivr27asqVaooKSlJxhj997//1b59+9S2bVv5+PjoiSeeUIcOHXI1N6uLi4vmzZunxx57TI0bN1alSpX07rvvKjIy0t6mS5cu6t+/v5599lklJSWpQ4cOGj58uEaMGHHN4x85ciTTu6xXmjhxokaOHGlfvvPOOyX9EyJ79+6tH374Qbt379bu3bsd3qWVHB9d3rlzp+Lj4x3OPWDAAB09elTBwcHq1auXwweQLu0zdOhQnTp1SpUqVdKwYcPUv3//a17XJ598ouHDh+uJJ55QfHy8GjZsqLfffvua+2VkM1k9eH0DSUhIsL/4GxAQ4OxyAABAIZCWbLSo1V9KZzAVyDPhDxXTTc9kP6JaEMgGhQcjqgAAAFdIiE1yCKnlWvnJtzx/bQL+jZJ1vJ1dAgoR/sQFAAC4wultSQ7LNZ8qId+QrL8sCgDIe//qq79JSUnXbgQAAFDInP7zov2fPYq7yCeY3+0DQEHKVVBdsmSJevfurSpVqsjd3V0+Pj7y9/dX8+bN9dprrzl8thkAAKCwOv3n5V/GF6/llWneRABA/spRUJ0/f76qV6+uqKgoubi4aODAgZo7d66WLFmiKVOmqHnz5vrxxx9VuXJlPfnkkw6fRAYAAChMkuPTlHjo8guqxW/ycmI1AFA05eg5ltGjR+vNN99Uhw4dspw89r777pP0z0SzEyZM0KeffqoXXnghbysFAAAoAFe+n1q8lqeTKgGAoitHQXXdunU5Oli5cuX0+uuv/6uCAAAAnOn0tosOywRVACh4/+pjSgAAADeajO+n+lV0l7u/qxOrAYCiKcdBdd68eWrXrl2W2w4dOqTKlSvr22+/zbPCAAAACpoxRmcyjKgWv4nRVABwhhwH1bFjx6p///6SpKefflpnz561bytfvrzefvttjR49Ou8rBAAAKCCJh1KVHJ9uX+ZDSgDgHDkOqtu2bVP16tUlSZ999pmOHz+u//znPzp37pwkqW7dutq6dWv+VAkAAFAAzlzxfmox3k8FAKfIcVANCgrSnj177MvGGE2bNk3Hjh2TJP36668KCgrK+woBAAAKSMYv/rp42BQYTlAFAGfIcVDt3r27hgwZohMnTkiSbDabjDEyxmjhwoXq16+f+vbtm2+FAgAA5LfTf14eUQ2s5iEXd5sTqwGAoitH09NI0rBhw/TLL7+oYsWKSk5O1pNPPqmLFy+qQYMGSkxM1MCBAzVo0KD8rBUAACDfpCUbxe+6PKLK+6kA4Dw5HlENCAhQTEyMZs2aJTc3NwUEBMhms+mll17S3r17+ZASAAAo1BJik5SecnmZL/4CgPPkeERVktzc3NS5c2dFRkbqrbfeUmpqqnr06KHy5cvnV30AAAAFIuP7qRIjqgDgTLkKqpfMnz/f4X8BAAAKu9MZvvjrUcxFPsHX9dckAEAeyNGjv5GRkVq9evU12509e1bjxo3TBx988K8LAwAAKEin/8zwfmotL9lsfEgJAJwlR78qvPfee3XffffJ399fnTt3VsOGDRUSEiIvLy+dPn1a27Zt06pVq7Ro0SJ17NhRb7zxRn7XDQAAkGeS49OUePDyC6q8nwoAzpWjoPrYY4/p4Ycf1tdff60vv/xSkydP1pkzZyT9M01NrVq11LZtW23cuFHVq1fPz3oBAADyHO+nAoC15PjlCw8PD/Xs2VM9e/aUJMXHx+vChQsqWbKk3N3d861AAACA/Jbx/VRJKlaTEVUAcKbr/kpAYGCgAgMD87IWAAAApziTYUTVt6K7PAJcnVgNACDH86gCAADciIwxOv3n5RHV4rUYTQUAZyOoAgCAIu3836lKjk+3L/N+KgA4H0EVAAAUaRlHUyW++AsAVkBQBQAARVrGL/66eNgUGE5QBQBnu+6PKW3cuFHbt2+XzWZTzZo1Vb9+/bysCwAAoEBk/OJvYDUPubjbnFgNAEC6jqB67Ngx9ejRQzExMSpWrJiMMYqPj1eLFi00a9YslS5dOj/qBAAAyHPpKUbxu5Lty8Vr8X4qAFhBrh/9fe6555SQkKA///xTp06d0unTp/XHH38oISFB//nPf/KjRgAAgHwRH5uk9GRjX+b9VACwhlwH1cWLF+ujjz5SzZo17etq1aqlDz74QN9//32ujvXzzz+rU6dOCgkJkc1m0/z58+3bUlJSNHjwYNWuXVu+vr4KCQlRr169dPjw4dyWDAAAkKXTfyY5LPPFXwCwhlwH1fT0dLm7u2da7+7urvT09Cz2yF5iYqLq1Kmj999/P9O28+fPa9OmTRo+fLg2bdqkuXPnateuXercuXNuSwYAAMhSxvdTPYq5yCfkuj/fAQDIQ7n+0/iuu+5Sv379NHPmTIWEhEiS/v77b/Xv318tW7bM1bHatWundu3aZbktMDBQS5cudVj33nvvqXHjxjpw4IAqVqyY29IBAAAcZBxRLV7LSzYbH1ICACvI9Yjq+++/r7Nnz6pSpUqqUqWKwsPDFRYWprNnz+q9997Ljxrt4uPjZbPZVKxYsWzbJCUlKSEhweEHAADgSsnxaUo8mGJfLl6L91MBwCpyPaJaoUIFbdq0SUuXLtWOHTtkjFGtWrXUqlWr/KjP7uLFixoyZIh69uypgICAbNuNGTNGI0eOzNdaAABA4XdmO++nAoBVXfeLGK1bt1br1q3zspZspaSkqEePHkpPT9eHH3541bZDhw7VgAED7MsJCQmqUKFCfpcIAAAKmdN/XnRYLsaIKgBYRo6C6rvvvqsnnnhCXl5eevfdd6/aNq+nqElJSdF9992nvXv36qeffrrqaKokeXp6ytOT/6MBAABXd3rb5RFV34ru8ghwdWI1AICMchRUx48frwcffFBeXl4aP358tu1sNlueBtVLITU2NlbLly9XyZIl8+zYAACg6DLGOIyo8n4qAFhLjoLq3r17s/znf+vcuXPavXu3w7G3bNmiEiVKKCQkRPfcc482bdqkBQsWKC0tTXFxcZKkEiVKyMPDI8/qAAAARcv5w6lKjr88rR7vpwKAtTh1srANGzaoRYsW9uVL75ZGRUVpxIgR+vbbbyVJdevWddhv+fLlioiIKKgyAQDADebK91MZUQUAa8l1UL3nnnvUsGFDDRkyxGH9G2+8oXXr1mn27Nk5PlZERISMMdluv9o2AACA65Vx/lQXD5sCqxJUAcBKcj2P6ooVK9ShQ4dM6yMjI/Xzzz/nSVEAAAD56fS2yyOqgdU85OJuc2I1AIAr5Tqonjt3Lsv3Q93d3ZWQkJAnRQEAAOSX9BSj+F3J9uXitXg/FQCsJtdB9eabb9aXX36Zaf2sWbNUq1atPCkKAAAgv8THJik9+fLrRcVv4rFfALCaXL+jOnz4cN19993as2eP7rrrLknSsmXLNHPmzFy9nwoAAOAMGedPlRhRBQArynVQ7dy5s+bPn6/Ro0fr66+/lre3t2655Rb9+OOPat68eX7UCAAAkGcyfvHXo5iLfMo5dRIEAEAWrutP5g4dOmT5QSUAAACryziiWryWl2w2PqQEAFaT63dUJenMmTP63//+p5deekmnTp2SJG3atEl///13nhYHAACQl5IT0pR4IMW+zPypAGBNuR5R/f3339WqVSsFBgZq37596tOnj0qUKKF58+Zp//79+vTTT/OjTgAAgH/tzJXvp97E+6kAYEW5HlEdMGCAevfurdjYWHl5Xf7DvV27dsyjCgAALC3j/KmSVKwmI6oAYEW5Dqrr169X3759M60vV66c4uLi8qQoAACA/HD6z8sjqr4V3OUR6OrEagAA2cl1UPXy8lJCQkKm9Tt37lTp0qXzpCgAAIC8ZoxxGFFl/lQAsK5cB9UuXbrolVdeUUrKPx8isNlsOnDggIYMGaK77747zwsEAADIC+cPpyr5TLp9mflTAcC6ch1U33zzTR0/flxlypTRhQsX1Lx5c4WHh8vf31+vvfZaftQIAADwr2WcP1ViRBUArCzXX/0NCAjQqlWr9NNPP2nTpk1KT09X/fr11apVq/yoDwAAIE9kfD/VxV0KrEpQBQCrylVQTU1NlZeXl7Zs2aK77rpLd911V37VBQAAkKcyvp8aWM1TLu42J1YDALiaXD366+bmptDQUKWlpeVXPQAAAHkuPcUofleyfZn5UwHA2nL9jurLL7+soUOH6tSpU/lRDwAAQJ6L352k9GRjXy5ei8d+AcDKcv2O6rvvvqvdu3crJCREoaGh8vX1ddi+adOmPCsOAAAgL2R8P1ViRBUArC7XQbVLly6y2XinAwAAFB4Zv/jrUcxFPuVy/VcgAEAByvWf0iNGjMiHMgAAAPLPmW2XR1SL1/Lil+4AYHE5fkf1/PnzeuaZZ1SuXDmVKVNGPXv21IkTJ/KzNgAAgH8tOSFN5w6k2JeL8X4qAFhejoNqdHS0pk2bpg4dOqhHjx5aunSpnnrqqfysDQAA4F87s/2K91Nr8X4qAFhdjh/9nTt3rqZMmaIePXpIkh566CHddtttSktLk6ura74VCAAA8G9kfD9V4ou/AFAY5HhE9eDBg7rjjjvsy40bN5abm5sOHz6cL4UBAADkhYxf/PWt4C6PQH7BDgBWl+OgmpaWJg8PD4d1bm5uSk1NzfOiAAAA8oIxRqe3XR5RLX4To6kAUBjk+NFfY4x69+4tT8/Lf8BfvHhRTz75pMNcqnPnzs3bCgEAAK7T+SOpSj6Tbl/m/VQAKBxyHFSjoqIyrXvooYfytBgAAIC8xPupAFA45TioTp06NT/rAADcADYMP6q4VYnOLgOwS0819n92cZcCqhJUAaAwyHFQBQDgWtKSjdIumms3BJwgsJqnXD1szi4DAJADOf6YEgAAQGFWvq2/s0sAAOQQI6oAgDwTcpevAiq7O7sMIJPA6p4KvsP32g0BAJZAUAUA5JkKjFgBAIA8wKO/AAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAAqdJUuWaPr06c4uA/mEoAoAAACgUNmxY4f69Omjxo0b53ifadOmqWLFivlYFfISQRUAAACAU/Xu3Vs2m83+U7JkSUVGRur333/P1PbixYvq1auXPv/8c9WsWTPH57j//vu1cePGvCw7R7766ivVrVtXPj4+Cg0N1RtvvHHNfTZt2qTWrVurWLFiKlmypJ544gmdO3fOoc2yZcvUrFkz+fv7Kzg4WIMHD1Zqauo1j71x40Z16tRJZcqUUalSpXT//ffrr7/+uu7ryy8EVQAAAABOFxkZqSNHjujIkSNatmyZ3Nzc1LFjx0ztvLy8tG7dOt155525Or63t7dKly6dV+XmyPfff68HH3xQTz75pP744w99+OGHevvtt/X+++9nu8/hw4fVqlUrhYeHa+3atVq8eLH+/PNP9e7d297m999/V/v27RUZGanNmzdr1qxZ+vbbbzVkyJCr1rNx40bdeeedqly5sn788UetXLlSrVq10v/+97+8uuS8Y25w8fHxRpKJj493dikAAAAAshAVFWW6dOnisO7nn382ksyxY8fs6wYNGmSqVq1qvL29TVhYmHn55ZdNcnKyffuWLVtMRESE8fPzM/7+/qZ+/fpm/fr1xhhjpk6dagIDAx2ywTfffGMaNGhgPD09TcmSJU23bt3sxzp16pR5+OGHTbFixYy3t7eJjIw0u3btytV1PfDAA+aee+5xWDd+/HhTvnx5k56enuU+kyZNMmXKlDFpaWn2dZs3bzaSTGxsrDHGmKFDh5qGDRs67Ddv3jzj5eVlEhISsq2nW7duDtd4SXa1OBMjqgAAAAAs5dy5c/r8888VHh6ukiVL2tf7+vpq2rRp2rZtm8aPH69JkyZp/Pjx9u0PPvigypcvr/Xr12vjxo0aMmSI3N3dszzHwoUL1b17d3Xo0EGbN2/WsmXL1LBhQ/v23r17a8OGDfr222+1Zs0aGWPUvn17paSk2NvYbDZNmzYt2+tISkqSl5eXwzpvb28dOnRI+/fvz3YfDw8Pubi4OOwjSatWrbrqcS9evJjl482HDx9WQECA5s+fr4ULF8rPz8/+s3LlStlstmyvwWmcnZTzGyOqAAAAgLVFRUUZV1dX4+vra3x9fY0kExwcbDZu3HjV/caOHWsaNGhgX/b39zfTpk3Lsu2VI6pNmzY1Dz74YJZtd+3aZSSZX375xb7uxIkTxtvb23z11Vf2ddWrVzdz587Ntr5JkyYZHx8f8+OPP5q0tDSzc+dOU6NGDSPJrF69Ost9/vjjD+Pm5mZef/11k5SUZE6dOmW6d+9uJJnRo0cbY4xZsmSJcXFxMV988YVJTU01hw4dMrfffruRZL744otMx0xMTDSxsbFGkvnggw9MbGys/ceKo6nGOHlE9eeff1anTp0UEhIim82m+fPnO2w3xmjEiBEKCQmRt7e3IiIi9OeffzqnWAAAAAD5pkWLFtqyZYu2bNmitWvXqk2bNmrXrp3DyOOCBQvUtm1bhYeHKygoSKNHj9aBAwfs2wcMGKA+ffqoVatWGjt2rPbs2ZPt+bZs2aKWLVtmuW379u1yc3NTkyZN7OtKliyp6tWra/v27fZ1O3bsULdu3bI9x+OPP65nn31WHTt2lIeHh2699Vb16NFDkuTq6prlPjfddJOmT5+ut956Sz4+PgoKClLlypVVtmxZ+z5t2rTRG2+8oSeffFKenp6qVq2aOnTokO1xz5w5o/r169v7qG7duqpbt66OHz9uzdFUOfljSomJiapTp062LxO//vrr9peN169fr6CgILVu3Vpnz54t4EoBAAAA5CdfX1+Fh4crPDxcjRs31pQpU5SYmKjJkydLktavX6/u3burffv2WrBggTZv3qyXXnpJycnJ9mOMGDFCf/75pzp06KCffvpJtWrV0rx587I836XHabNijMl2fW6Cnc1m07hx43Tu3Dnt379fcXFx9il1KlWqlO1+PXv2VFxcnP7++2+dPHlSI0aM0PHjxxUWFmZvM2DAAJ05c0YHDhzQiRMn1KVLF0lyaHNJsWLFtGnTJjVu3Fj33Xef/RcCt956a46vpaA5Nai2a9dOo0aNUvfu3TNtM8bonXfe0bBhw9S9e3fdfPPNmj59us6fP68vvvjCCdUCAAAAKCg2m00uLi66cOGCpH+exqxYsaL69eunGjVqKDg4WDt27Mi0X7Vq1dS/f3/98MMP6t69u6ZOnZrl8W+55RYtW7Ysy221atVSamqq1q5da1938uRJ7dq1K1dT4lzi6uqqcuXKycPDQzNnzlTTpk1VpkyZa+5XtmxZ+fn56csvv5SXl5dat27tsN1ms9mfPp05c6YqVKhgHznNyMfHR+Hh4erSpYtiYmIUEhKi8PBwe+g+ePBgrq8pv7k5u4Ds7N27V3FxcWrTpo19naenp5o3b67Vq1erb9++We6XlJSkpKQk+3JCQkK+1woAAADkt593XFT0vDM6lpDm7FKuy6N3+umFdoHZbk9KSlJcXJwk6fTp03r//fd17tw5derUSZJUpUoV7du3TzNnzlTjxo313Xff6ZtvvrHvf+HCBQ0cOFD33HOPwsLCdOjQIa1fv1533313lueLjo5Wy5YtVaVKFfXo0UOpqan6/vvvNWjQIFWtWlVdunTR448/rkmTJsnf319DhgxRuXLl7COXklSjRg2NGTMm28d/T5w4oa+//loRERG6ePGipk6dqtmzZ2vFihX2NuvWrVOvXr20bNkylStXTpL0/vvvq1mzZvLz89PSpUs1cOBAjR07VsWKFbPv98YbbygyMlIuLi6aO3euxo4dq6+++irbR4olqV+/fpo6daq6du2qV199VSVKlNBnn32mv//+23JT1Fg2qF66ScuWLeuwvmzZstl+IUuSxowZo5EjR+ZrbQAAAEBBSkoxemHmKZ08l+7sUq5bSlrWj9NesnjxYgUHB0uS/P39VaNGDc2ePVsRERGSpK5du2rAgAF67rnnlJSUpA4dOui///2vRowYIemfUcuTJ0+qV69eOnr0qEqVKqXu3btnmw0iIiI0e/Zsvfrqqxo7dqwCAgIc5madOnWq+vXrp44dOyo5OVl33nmnFi1a5PAV4Z07dyo+Pv6q1zV9+nS9+OKLMsaoadOmiomJsT/+K0nnz5/Xzp07Hb4mvG7dOkVHR+vcuXOqUaOGJk2apIcfftjhuN9//71ee+01JSUlqU6dOvrmm2/Url27q9bi6+urZcuWaeDAgWrbtq3c3NzUunVrjRkz5qr7OYPNZPcAdgGz2WyaN2+eunbtKklavXq1brvtNh0+fNh+w0r/vJB88OBBLV68OMvjZDWiWqFCBcXHxysgICBfrwEAAADID3PWJ2rgrNPOLuNfeaKFn4Z0LObUGhISEhQYGEg2KAQsO6IaFBQk6Z+R1YxB9dixY5lGWTPy9PSUp6dnvtcHAAAAFARjjKavOmdf9veyqdftfk6s6Po0CuPv6Mg5ywbVsLAwBQUFaenSpapXr54kKTk5WStWrNC4ceOcXB0AAABQMDbtS9Yfhy4/FnpfE9+rvusJ3AicGlTPnTun3bt325f37t2rLVu2qESJEqpYsaKef/55jR49WlWrVlXVqlU1evRo+fj4qGfPnk6sGgAAACg4GUdTbTbp4dsK32gqkFtODaobNmxQixYt7MsDBgyQJEVFRWnatGkaNGiQLly4oKefflqnT59WkyZN9MMPP8jf399ZJQMAAAAFJi4+TYt/v2BfblnLSxVLWvahSCDPWOZjSvmFF6YBAABQWL39fbze//GsffnTvqV0ezUvJ1ZUuJENCg8XZxcAAAAAILOkFKOZvybal8PLuum2qnyQCEUDQRUAAACwoIW/nXeYN7XX7X6y2WxOrAgoOARVAAAAwGKMMZq20nFKmm4NfJxYEVCwCKoAAACAxWQ1JY2vJ391R9HB3Q4AAABYDFPSoKgjqAIAAAAWcvSKKWnuqsmUNCh6CKoAAACAhXyx5pxSL39DSVF3MJqKooegCgAAAFhEUqrRF2uYkgYgqAIAAAAWsXALU9IAEkEVAAAAsASmpAEuI6gCAAAAFrB5v+OUNPc2ZkoaFF3c+QAAAIAFZBxNZUoaFHUEVQAAAMDJspqSJrQUU9Kg6CKoAgAAAE525ZQ0vW5nNBVFG0EVAAAAcKKspqS5vRpT0qBoI6gCAAAATrSIKWmATAiqAAAAgJMYYzRtFVPSAFciqAIAAABOsuVAsrYeZEoa4Er8VwAAAAA4CVPSAFkjqAIAAABOcDQ+Td//dnlKmhZMSQPYEVQBAAAAJ7hySpoopqQB7AiqAAAAQAG7ckqaKmWYkgbIiKAKAAAAFDCmpAGujqAKAAAAFKArp6Tx87Kpe0OmpAEyIqgCAAAABYgpaYBr478IAAAAoAAxJQ1wbQRVAAAAoIBkNSVNJaakATLhvwoAAIAs/H4wWYNmndLBU2nOLgU3kLQ0w5Q0QA4QVAEAAK5gjNHAmacUezTV2aXgBsaUNED2ePQXAADgCr/EJhFSke+eaeXPlDRANhhRBQAAuMKnGaYOcXWRnmjhLxfyBPKITVKdUA+1rOXt7FIAyyKoAgAAZHDgZKqWbbtoX46s7a2B7QOdWBEAFD08+gsAAJDBjF/OyZjLy1F38LEbAChoBFUAAID/l5iUrq/WJtqXby7vrgaVPJxYEQAUTQRVAACA/zd/43mdvXh5OLXXbX587AYAnICgCgAAoH+mpMn4EaUSvi7qVM/HiRUBQNFFUAUAAJC0+oopaXrc6itPd0ZTAcAZCKoAAACSpl8xJc2DzXydWA0AFG0EVQAAUORlNSVNcDFm8QMAZyGoAgCAIu+zK6ak6XU7U9IAgDMRVAEAQJF2PildX627PCXNTeXc1TCMKWkAwJkIqgAAoEibv+m8Ei5cHk6Nup0paQDA2QiqAACgyDLGaPpKpqQBAKshqAIAgCKLKWkAwJoIqgAAoMj6lClpAMCSCKoAAKBIOngyVT9mmJKmLVPSAIBlEFQBAECRNOOKKWmimJIGACyDoAoAAIocpqQBAGsjqAIAgCLnyilpejElDQBYCkEVAAAUKcYYh48olfB1UWempAEASyGoAgCAImXN7iTtimNKGgCwMoIqAAAoUqavZEoaALA6gioAACgyDp5M1TKmpAEAyyOoAgCAIuOz1eeUnmFKml5MSQMAlkRQBQAARcL5pHR9ufbylDS1QtzViClpAMCSCKoAAKBI+OaKKWmi7mBKGgCwKoIqAAC44RljND3DlDTFfVzUiSlpAMCyCKoAAOCGl2lKmqa+8mJKGgCwLIIqAAC44X266oopaZoyJQ0AWJmlg2pqaqpefvllhYWFydvbW5UrV9Yrr7yi9PR0Z5cGAAAKiYMnU/Xjn5enpGlzs7dCijMlDQBYmaX/lB43bpwmTpyo6dOn66abbtKGDRv0yCOPKDAwUP369XN2eQAAoBC4ckqaqDuYkgYArM7SQXXNmjXq0qWLOnToIEmqVKmSZs6cqQ0bNji5MgAAUBgwJQ0AFE6WDqq33367Jk6cqF27dqlatWr67bfftGrVKr3zzjvZ7pOUlKSkpCT7ckJCQgFUChQtJ86m6dlPT2rroRRnlwIAV5WWbpR8+RtK6nU7U9IAQGFg6aA6ePBgxcfHq0aNGnJ1dVVaWppee+01PfDAA9nuM2bMGI0cObIAqwSKnjHfxWvdX8nOLgMAcqW4j4s612dKGgAoDCz9MaUvv/xSn332mb744gtt2rRJ06dP15tvvqnp06dnu8/QoUMVHx9v/zl48GABVgzc+I6fTdOCLeedXQYA5FqfCD+mpAGAQsLSI6oDBw7UkCFD1KNHD0lS7dq1tX//fo0ZM0ZRUVFZ7uPp6SlPT8+CLBMoUmb9mqiUtMvL9zfxVSl/S//OCwBULchdHep4O7sMAEAOWTqonj9/Xi4ujn8BdnV1ZXoawEmSU40+X315LsLQUm567Z5icnFhhAIAAAB5x9JBtVOnTnrttddUsWJF3XTTTdq8ebPefvttPfroo84uDSiSFv9+QccSLv+iqNdtvoRUAAAA5DlLB9X33ntPw4cP19NPP61jx44pJCREffv21X//+19nlwYUSZ+uujya6utp092NfJ1YDQAAAG5UNmOMuXazwishIUGBgYGKj49XQECAs8sBCq3fDiSr24Rj9uWHb/PVyO7FnVgRAABA7pANCg++gAIgRzKOpkpSr9v8nFQJAAAAbnQEVQDXdPxsmhZmmJLmjmqeqlLW3YkVAQAA4EZGUAVwTbN+TVRyhilpou5gNBUAAAD5h6AK4KoyTUlT0lURNbycWBEAAABudARVAFe1ZKvjlDQP3+7HlDQAAADIVwRVAFc1feXl0VQfD5vuYUoaAAAA5DOCKoBs/X4wWZv2J9uX727kowBv/tgAAABA/uJvnACyxZQ0AAAAcAaCKoAsnTibpgWbmZIGAAAABY+gCiBLTEkDAAAAZyGoAsgkJc3oM6akAQAAgJMQVAFksvh3pqQBAACA8xBUAWSS8SNKTEkDAACAgkZQBeDg94PJ2rjv8pQ03RsyJQ0AAAAKFn/7BOAg05Q0t/MRJQAAABQsgioAu6ympAlnShoAAAAUMIIqALsrp6TpxZQ0AAAAcAKCKgBJ/0xJ8/kVU9K0YEoaAAAAOAFBFYAkacnvF3Q0w5Q0D93GlDQAAABwDoIqAEnS9CumpLm3MVPSAAAAwDkIqgC0lSlpAAAAYCH8TRQAU9IAAADAUgiqQBF34myavsswJc3tTEkDAAAAJyOoAkXcl2sdp6SJYkoaAAAAOBlBFSjCUtKMPvvl8mO/FUu6KoIpaQAAAOBkBFWgCLtySpqHb/OTK1PSAAAAwMkIqkARxpQ0AAAAsCI3ZxdQVEz66azeXZrg7DIABxeSjf2fuzElDQAAACyCoFpAUtONQygArKbXbXxECQAAANbA8AkARd7irapBTEkDAAAAa2BEtYA0qOShZ1r5O7sMIJOgQFd1beDj7DIAAAAAO4JqAbk13Eu3hjPtBwAAAABcC4/+AgAAAAAshaAKAAAAALAUgioAAAAAwFIIqgAAAAAASyGoAgAAAAAshaAKAAAAALAUgioAAAAAwFIIqgAAAAAASyGoAgAAAAAshaAKAAAAALAUgioAAAAAwFIIqgAAAAAASyGoAgAAAAAsxc3ZBeQ3Y4wkKSEhwcmVAAAAAHCmS5ngUkaAdd3wQfXs2bOSpAoVKji5EgAAAABWcPbsWQUGBjq7DFyFzdzgv05IT0/X4cOH5e/vL5vN5uxykEMJCQmqUKGCDh48qICAAGeXc8OinwsG/Vww6OeCQT8XDPq5YNDPBcNK/WyM0dmzZxUSEiIXF96CtLIbfkTVxcVF5cuXd3YZuE4BAQFO/wOtKKCfCwb9XDDo54JBPxcM+rlg0M8Fwyr9zEhq4cCvEQAAAAAAlkJQBQAAAABYCkEVluTp6ano6Gh5eno6u5QbGv1cMOjngkE/Fwz6uWDQzwWDfi4Y9DOuxw3/MSUAAAAAQOHCiCoAAAAAwFIIqgAAAAAASyGoAgAAAAAshaAKAAAAALAUgioAAAAAwFIIqsi1Dz/8UGFhYfLy8lKDBg20cuVKh+3bt29X586dFRgYKH9/f9166606cOBApuOEhYVp8eLFiomJUZcuXRQcHCxfX1/VrVtXn3/+eab2K1asUIMGDeTl5aXKlStr4sSJDtv//PNP3X333apUqZJsNpveeeedTMdITU3Vyy+/rLCwMHl7e6ty5cp65ZVXlJ6e/u86JY/9/PPP6tSpk0JCQmSz2TR//nz7tpSUFA0ePFi1a9eWr6+vQkJC1KtXLx0+fDjLY9HPV1eY7+ezZ8/q+eefV2hoqLy9vdWsWTOtX7/+33VIPijs93Nh6WfJuvfz5MmTdccdd6h48eIqXry4WrVqpXXr1uW6fiuw8v18I/WzVLjv56vdJ1ZR2O/lwtDH+JcMkAuzZs0y7u7uZvLkyWbbtm2mX79+xtfX1+zfv98YY8zu3btNiRIlzMCBA82mTZvMnj17zIIFC8zRo0cdjvPbb78Zf39/c/HiRfPaa6+Zl19+2fzyyy9m9+7dZsKECcbFxcV8++239vZ//fWX8fHxMf369TPbtm0zkydPNu7u7ubrr7+2t1m3bp158cUXzcyZM01QUJAZP358pvpHjRplSpYsaRYsWGD27t1rZs+ebfz8/Mw777yTPx12nRYtWmSGDRtm5syZYySZefPm2bedOXPGtGrVynz55Zdmx44dZs2aNaZJkyamQYMGmY5DP19dYb+f77vvPlOrVi2zYsUKExsba6Kjo01AQIA5dOhQ/nTYdSrs93Nh6Wcr3889e/Y0H3zwgdm8ebPZvn27eeSRR0xgYKBDH16rfquw8v18I/VzYb+fr3afWEVhv5cLQx/j3yGoIlcaN25snnzySYd1NWrUMEOGDDHGGHP//febhx566JrHeeWVV8w999yT7fb27dubRx55xL48aNAgU6NGDYc2ffv2NbfeemuW+4eGhmb5F84OHTqYRx991GFd9+7dc1Szs+TkD99169YZSZn+okE/X11hvp/Pnz9vXF1dzYIFCxzW16lTxwwbNuyaNTtLYbufC1M/F5b72RhjUlNTjb+/v5k+fXqO67ciK9/PxhTufi7s93NGhSFEFcZ7Obf1o/Dh0V/kWHJysjZu3Kg2bdo4rG/Tpo1Wr16t9PR0LVy4UNWqVVPbtm1VpkwZNWnSJMtHMb799lt16dIl23PFx8erRIkS9uU1a9ZkOm/btm21YcMGpaSk5Pgabr/9di1btky7du2SJP32229atWqV2rdvn+NjWFF8fLxsNpuKFSvmsJ5+zl5hv59TU1OVlpYmLy8vh/Xe3t5atWpVjo5hVVa6nwtLPxe2+/n8+fNKSUmxH+da9RdmzryfC2s/F/b7+UZlpXsZRQNBFTl24sQJpaWlqWzZsg7ry5Ytq7i4OB07dkznzp3T2LFjFRkZqR9++EHdunVT9+7dtWLFCnv7v//+W7/99lu2oeXrr7/W+vXr9cgjj9jXxcXFZXne1NRUnThxIsfXMHjwYD3wwAOqUaOG3N3dVa9ePT3//PN64IEHcnwMq7l48aKGDBminj17KiAgwL6efr66wn4/+/v7q2nTpnr11Vd1+PBhpaWl6bPPPtPatWt15MiRnHaD5Vjtfi4s/VzY7uchQ4aoXLlyatWqVY7qL6ycfT8X1n4u7Pfzjchq9zKKBjdnF4DCx2azOSwbY2Sz2ewfyunSpYv69+8vSapbt65Wr16tiRMnqnnz5pL++c3bbbfdluVvxWJiYtS7d29NnjxZN9100zXPm9X6q/nyyy/12Wef6YsvvtBNN92kLVu26Pnnn1dISIiioqJyfByrSElJUY8ePZSenq4PP/zQYRv9nDOF+X6eMWOGHn30UZUrV06urq6qX7++evbsqU2bNuX4GFZi1fu5MPVzYbifX3/9dc2cOVMxMTGZRqqzq78wcvb9fCP0c2G/n28UVr6XcWNjRBU5VqpUKbm6umb6reuxY8dUtmxZlSpVSm5ubqpVq5bD9po1azp8hS+7R0RWrFihTp066e2331avXr0ctgUFBWV5Xjc3N5UsWTLH1zBw4EANGTJEPXr0UO3atfXwww+rf//+GjNmTI6PYRUpKSm67777tHfvXi1dutThN5wS/XwtN8L9XKVKFa1YsULnzp3TwYMHtW7dOqWkpCgsLCzHx7AKK9/PhaGfC8v9/Oabb2r06NH64YcfdMstt+S4/sLG2fdzYe/nwn4/30isei+jaCCoIsc8PDzUoEEDLV261GH90qVL1axZM3l4eKhRo0bauXOnw/Zdu3YpNDRUknTu3DktX75cnTt3dmgTExOjDh06aOzYsXriiScynbtp06aZzvvDDz+oYcOGcnd3z/E1nD9/Xi4ujre9q6urJadNuZpL/8cRGxurH3/8MdMf7PTztd0I9/Mlvr6+Cg4O1unTp7VkyZKrvitkRVa/ny+xcj8Xhvv5jTfe0KuvvqrFixerYcOGuaq/MHH2/Xwj9HNhv59vFFa+l1FEOOMLTii8Ln0ufsqUKWbbtm3m+eefN76+vmbfvn3GGGPmzp1r3N3dzccff2xiY2PNe++9Z1xdXc3KlSuNMcbMnj3b3HzzzQ7HXL58ufHx8TFDhw41R44csf+cPHnS3ubSp8z79+9vtm3bZqZMmZLpU+ZJSUlm8+bNZvPmzSY4ONi8+OKLZvPmzSY2NtbeJioqypQrV84+bcrcuXNNqVKlzKBBg/Kz23Lt7Nmz9muRZN5++22zefNms3//fpOSkmI6d+5sypcvb7Zs2eLQZ0lJScYY+jmnCvv9vHjxYvP999+bv/76y/zwww+mTp06pnHjxiY5OTk/uy3XCvv9XFj62cr387hx44yHh4f5+uuvHY5z9uzZHNdvFVa+n2+kfi7s9/PV7hOrKOz3cmHoY/w7BFXk2gcffGBCQ0ONh4eHqV+/vlmxYoXD9ilTppjw8HDj5eVl6tSpY+bPn2/f9tBDD2Wa0iEqKspIyvTTvHlzh3YxMTGmXr16xsPDw1SqVMl89NFHDtv37t17zeMkJCSYfv36mYoVKxovLy9TuXJlM2zYMPsfulaxfPnyLK8lKioq2+uUZJYvX26MoZ9zozDfz19++aWpXLmy8fDwMEFBQeaZZ54xZ86cyZuOyUOF/X4uLP1sjHXv59DQ0CyPEx0dnav6rcDK9/ON1M/GFO77+Wr3iVUU9nu5MPQx/h2bMf//9jKQz9LS0lSmTBl9//33aty4sbPLuWHRzwWDfi4Y9HPBoJ8LBv1cMOjn/EcfoyDwjioKzMmTJ9W/f381atTI2aXc0OjngkE/Fwz6uWDQzwWDfi4Y9HP+o49REBhRBQAAAABYCiOqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABLIagCAAAAACyFoAoAAAAAsBSCKgAAAADAUgiqAAAAAABL+T+quvmbS4XgdAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con la evolución del precio de los planes ofrecidos\n",
    "sns.lineplot(data=df_precio, x='AÑO-MES', y='PLAN BASICO', color='#2172E3', linewidth=2.5)\n",
    "sns.lineplot(data=df_precio, x='AÑO-MES', y='PLAN ESTANDAR', color='#B038DC', linewidth=2.5)\n",
    "sns.lineplot(data=df_precio, x='AÑO-MES', y='PLAN PREMIUM', color='#E50914', linewidth=2.5)\n",
    "\n",
    "# Título y etiquetas de los ejes\n",
    "plt.title('Evolución del precio de los planes')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Precio (€)')\n",
    "plt.xticks(range(5, len(df_precio), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Último valor de cada línea\n",
    "precio_basico = df_precio['PLAN BASICO'].iloc[-1]\n",
    "precio_estandar = df_precio['PLAN ESTANDAR'].iloc[-1]\n",
    "precio_premium = df_precio['PLAN PREMIUM'].iloc[-1]\n",
    "\n",
    "# Leyenda de cada línea\n",
    "plt.text(len(df_precio) - 0.5, precio_basico, f'Básico: {float(precio_basico)} €')\n",
    "plt.text(len(df_precio) - 0.5, precio_estandar, f'Estándar: {float(precio_estandar)} €')\n",
    "plt.text(len(df_precio) - 0.5, precio_premium, f'Premium: {float(precio_premium)} €')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "1d3211b9-368d-4ac4-b414-ad2c9060e4b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO</th>\n",
       "      <th>MES</th>\n",
       "      <th>METEO TEMPERATURA MEDIA</th>\n",
       "      <th>METEO DIAS LLUVIA</th>\n",
       "      <th>TASA PARO</th>\n",
       "      <th>MOVILIDAD TERRITORIAL (NORMALIZADA)</th>\n",
       "      <th>COMPETENCIA NUMERO COMPETIDORES</th>\n",
       "      <th>COMPETENCIA PRECIO MAX. SUSCRIPCION</th>\n",
       "      <th>COMPETENCIA PRECIO MIN. SUSCRIPCION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021</td>\n",
       "      <td>8</td>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>0,08</td>\n",
       "      <td>0,96</td>\n",
       "      <td>9</td>\n",
       "      <td>24,99</td>\n",
       "      <td>4,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>10</td>\n",
       "      <td>0,24</td>\n",
       "      <td>0,85</td>\n",
       "      <td>9</td>\n",
       "      <td>24,99</td>\n",
       "      <td>4,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>14</td>\n",
       "      <td>0,22</td>\n",
       "      <td>0,12</td>\n",
       "      <td>9</td>\n",
       "      <td>24,99</td>\n",
       "      <td>4,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0,18</td>\n",
       "      <td>0,17</td>\n",
       "      <td>9</td>\n",
       "      <td>24,99</td>\n",
       "      <td>4,99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>0,14</td>\n",
       "      <td>0,49</td>\n",
       "      <td>9</td>\n",
       "      <td>24,99</td>\n",
       "      <td>4,99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     AÑO  MES  METEO TEMPERATURA MEDIA  METEO DIAS LLUVIA TASA PARO  \\\n",
       "43  2021    8                       24                  8      0,08   \n",
       "44  2021    9                       23                 10      0,24   \n",
       "45  2021   10                       18                 14      0,22   \n",
       "46  2021   11                       10                 10      0,18   \n",
       "47  2021   12                        7                  6      0,14   \n",
       "\n",
       "   MOVILIDAD TERRITORIAL (NORMALIZADA)  COMPETENCIA NUMERO COMPETIDORES  \\\n",
       "43                                0,96                                9   \n",
       "44                                0,85                                9   \n",
       "45                                0,12                                9   \n",
       "46                                0,17                                9   \n",
       "47                                0,49                                9   \n",
       "\n",
       "   COMPETENCIA PRECIO MAX. SUSCRIPCION COMPETENCIA PRECIO MIN. SUSCRIPCION  \n",
       "43                               24,99                                4,99  \n",
       "44                               24,99                                4,99  \n",
       "45                               24,99                                4,99  \n",
       "46                               24,99                                4,99  \n",
       "47                               24,99                                4,99  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fuentes_externas.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b01cacbb-8686-4bc9-8e39-b89982f34c55",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Transformación de variable a tipo float\n",
    "df_fuentes_externas['COMPETENCIA PRECIO MAX. SUSCRIPCION'] = df_fuentes_externas['COMPETENCIA PRECIO MAX. SUSCRIPCION'].str.replace(',', '.').astype(float)\n",
    "df_fuentes_externas['COMPETENCIA PRECIO MIN. SUSCRIPCION'] = df_fuentes_externas['COMPETENCIA PRECIO MIN. SUSCRIPCION'].str.replace(',', '.').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "432c367f-679e-4735-83d1-ede61d093611",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creación de columna 'Año-Mes'\n",
    "df_fuentes_externas['AÑO-MES'] = df_fuentes_externas['MES'].astype(str).apply(lambda x: '0' + x if len(x) == 1 else x) + '/' + df_fuentes_externas['AÑO'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "70c5056f-5978-4470-8e2e-2431dfcc0e72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AÑO-MES</th>\n",
       "      <th>PLAN BASICO</th>\n",
       "      <th>PLAN ESTANDAR</th>\n",
       "      <th>PLAN PREMIUM</th>\n",
       "      <th>COMPETENCIA PRECIO MIN. SUSCRIPCION</th>\n",
       "      <th>COMPETENCIA PRECIO MAX. SUSCRIPCION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>08/2021</td>\n",
       "      <td>8.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>15.99</td>\n",
       "      <td>4.99</td>\n",
       "      <td>24.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>09/2021</td>\n",
       "      <td>9.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>16.99</td>\n",
       "      <td>4.99</td>\n",
       "      <td>24.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>10/2021</td>\n",
       "      <td>9.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>16.99</td>\n",
       "      <td>4.99</td>\n",
       "      <td>24.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>11/2021</td>\n",
       "      <td>9.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>16.99</td>\n",
       "      <td>4.99</td>\n",
       "      <td>24.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>12/2021</td>\n",
       "      <td>9.99</td>\n",
       "      <td>12.99</td>\n",
       "      <td>16.99</td>\n",
       "      <td>4.99</td>\n",
       "      <td>24.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    AÑO-MES  PLAN BASICO  PLAN ESTANDAR  PLAN PREMIUM  \\\n",
       "43  08/2021         8.99          12.99         15.99   \n",
       "44  09/2021         9.99          12.99         16.99   \n",
       "45  10/2021         9.99          12.99         16.99   \n",
       "46  11/2021         9.99          12.99         16.99   \n",
       "47  12/2021         9.99          12.99         16.99   \n",
       "\n",
       "    COMPETENCIA PRECIO MIN. SUSCRIPCION  COMPETENCIA PRECIO MAX. SUSCRIPCION  \n",
       "43                                 4.99                                24.99  \n",
       "44                                 4.99                                24.99  \n",
       "45                                 4.99                                24.99  \n",
       "46                                 4.99                                24.99  \n",
       "47                                 4.99                                24.99  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combinación de los datos del precio de Nerdflix con los de la competencia\n",
    "df_precio_competencia = df_precio[['AÑO-MES','PLAN BASICO','PLAN ESTANDAR','PLAN PREMIUM']].merge(df_fuentes_externas[['AÑO-MES','COMPETENCIA PRECIO MIN. SUSCRIPCION','COMPETENCIA PRECIO MAX. SUSCRIPCION']], left_on='AÑO-MES', right_on='AÑO-MES', how='left')\n",
    "df_precio_competencia.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "eb09d48f-7f0c-4fe9-9d27-56ed38c08843",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5)) # Ajuste del tamaño del gráfico\n",
    "\n",
    "# Gráficos de líneas con el precio mínimo de Nerdflix y de la competencia\n",
    "sns.lineplot(x='AÑO-MES', y='PLAN BASICO', data=df_precio_competencia, color='#FF1D25', linewidth=2.5)\n",
    "sns.lineplot(x='AÑO-MES', y='COMPETENCIA PRECIO MIN. SUSCRIPCION', data=df_precio_competencia, color='#1DA2FF', linewidth=2.5)\n",
    "\n",
    "# Títulos y etiquetas de los ejes\n",
    "plt.title('Evolución del precio mínimo')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Precio (€)')\n",
    "plt.xticks(range(5, len(df_precio_competencia), 6)) # Intervalos de separación para las etiquetas en el eje x\n",
    "\n",
    "# Último valor de cada línea\n",
    "precio_min_nerdflix = df_precio_competencia['PLAN BASICO'].iloc[-1]\n",
    "precio_min_competencia = df_precio_competencia['COMPETENCIA PRECIO MIN. SUSCRIPCION'].iloc[-1]\n",
    "\n",
    "# Leyenda de cada línea\n",
    "plt.text(len(df_precio_competencia) - 0.5, precio_min_nerdflix, f'Nerdflix: {float(precio_min_nerdflix)} €')\n",
    "plt.text(len(df_precio_competencia) - 0.5, precio_min_competencia, f'Competencia: {float(precio_min_competencia)} €')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6282986e-aac0-4c07-9184-8e00a4c88897",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Finalmente, es importante mencionar que, a lo largo del tiempo, todos los planes de Nerdflix han registrado incrementos en los precios. Por otra parte, la competencia ha reducido su coste, provocando que el plan más asequible de Nerdflix sea el doble de caro que el plan mínimo de la competencia.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f899e33-0d1e-4e3f-9107-45e1e34195e7",
   "metadata": {},
   "source": [
    "## **3 - 🛠️ Definición del plan de acción**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "073c730d-dd20-4fe1-91b8-5e1d412d6ca6",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "Identificadas las causas del incremento de cancelaciones, se propone un plan de acción con el propósito de optimizar la retención de los usuarios del segmento A, que han visto afectada su experiencia por los cambios en la usabilidad de la televisión, y del segmento B, que ha mostrado su descontento debido a la disminución en el catálogo de películas de ciencia ficción. \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "702dd6f2-6d02-4ccf-a9ea-b0fd1035d75f",
   "metadata": {},
   "source": [
    "<div style=\"border: 5px solid #B00710; padding: 20px; font-size: 16px; background-color: rgba(229, 9, 20, 0.2);\">\n",
    "A continuación, se presentan las medidas específicas que se plantean para mejorar la experiencia y la satisfacción de los usuarios:\n",
    "\n",
    "- <b>Ampliar el catálogo de ciencia ficción:</b> incrementar la variedad y cantidad de películas de ciencia ficción para satisfacer las preferencias de los clientes del segmento B.\n",
    " \n",
    "- <b>Mejorar el algoritmo de recomendación:</b> optimizar el algoritmo de recomendación, priorizando las series de ciencia ficción y el contenido de fantasía, que han experimentado un crecimiento en el catálogo y es un contenido relevante para el segmento B.\n",
    "    \n",
    "- <b>Personalizar la interfaz:</b> diseñar una interfaz personalizada para cada segmento, refinando las sugerencias de contenido y ajustándolas a las preferencias únicas de los usuarios.\n",
    "    \n",
    "- <b>Espaciar en el tiempo los cambios en UX:</b> planificar las modificiaciones en la usabilidad de los dispositivos, especialmente de la televisión, de manera gradual y cuidadosa para evitar impactos bruscos en la experiencia de los usuarios.\n",
    "\n",
    "- <b>Reforzar el soporte técnico:</b> aumentar el personal del servicio técnico para agilizar la respuesta a las incidencias, tratando de asegurar una resolución rápida y eficaz.\n",
    "    \n",
    "- <b>Ofrecer precios más competitivos o programas de fidelidad:</b> ajustar los precios para brindar una propuesta más competitiva en comparación con la competencia e implementar recompensas que los usuarios puedan canjear por contenido exclusivo o descuentos.\n",
    "    \n",
    "- <b>Establecer partnership con Movistar:</b> explorar una asociación estratégica con Movistar para integrar Nerdflix en su servicio de Internet.\n",
    "    \n",
    "- <b>Incluir encuesta de cancelación:</b> implementar una breve encuesta en el proceso de baja para recopilar información adicional que enriquezca futuros análisis.\n",
    "\n",
    "</div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  },
  "toc-autonumbering": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}