002 tutorial-analisis-exploratorio-de-datos.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Sz8ogFjl7a8b"
   },
   "source": [
    "# TUTORIAL: ANÁLISIS EXPLORATORIO DE DATOS CON PYTHON Y PANDAS\n",
    "\n",
    "@author: Octavio Gutiérrez de Código Máquina (source code // nice code)\n",
    "\n",
    "@author: Israel Sanchez (samples updates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "G80Hcw61LZpc"
   },
   "source": [
    "#0. Pre-requisito\n",
    "\n",
    "Se debe haber llevado a cabo la limpieza del set de datos, realizada en el tutorial anterior.\n",
    "\n",
    "Enlaces:\n",
    "- [Notebook](https://colab.research.google.com/drive/17IBlDmySZVVyrvUe751_2-Y7sOJ6VuqX?usp=share_link)\n",
    "- [Video en YouTube](https://youtu.be/bGnD1Ki7j-g)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jYJxCZNZDfYe"
   },
   "source": [
    "# 1. El problema del negocio\n",
    "\n",
    "Una entidad bancaria contrata a una empresa de marketing encargada de contactar telefónicamente a posibles clientes para determinar si están interesados o no en adquirir un certificado de depósito a término con el banco.\n",
    "\n",
    "¿Qué perfil tienen los clientes con mayor potencial de conversión?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4WOEkmPt7aHf"
   },
   "source": [
    "#2. El set de datos después de la limpieza\n",
    "\n",
    "La información recolectada por la empresa de mercadeo se encuentra en un archivo CSV (`dataset_banco_clean.csv`) con 45189 filas y 17 columnas.\n",
    "\n",
    "Cada registro contiene 16 características (las primeras 16 columnas) y una categoría (\"yes\" o \"no\" dependiendo de si la persona está o no interesada en adquirir el producto). Las columnas son:\n",
    "\n",
    "1. \"age\":  edad (numérica)\n",
    "2. \"job\": tipo de trabajo (categórica: \"admin.\", \"unknown\", \"unemployed\", \"management\", \"housemaid\", \"entrepreneur\", \"student\", \"blue-collar\",\"self-employed\", \"retired\", \"technician\", \"services\") \n",
    "3. \"marital\": estado civil (categórica: \"married\", \"divorced\", \"single\")\n",
    "4. \"education\": nivel educativo (categórica: \"unknown\", \"secondary\", \"primary\", \"tertiary\")\n",
    "5. \"default\": si dejó de pagar sus obligaciones (categórica: \"yes\", \"no\")\n",
    "6. \"balance\": saldo promedio anual en euros (numérica)\n",
    "7. \"housing\": ¿tiene o no crédito hipotecario? (categórica: \"yes\", \"no\")\n",
    "8. \"loan\": ¿tiene créditos de consumo? (categórica: \"yes\", \"no\")\n",
    "9. \"contact\": medio a través del cual fue contactado (categórica: \"unknown\", \"telephone\", \"cellular\") \n",
    "10. \"day\": último día del mes en el que fue contactada (numérica)\n",
    "11. \"month\": último mes en el que fue contactada (categórica: \"jan\", \"feb\", \"mar\", ..., \"nov\", \"dec\")\n",
    "12. \"duration\": duración (en segundos) del último contacto (numérica)\n",
    "13. \"campaign\": número total de veces que fue contactada durante la campaña (numérica)\n",
    "14. \"pdays\": número de días transcurridos después de haber sido contactado antes de la campaña actual (numérica. -1 indica que no fue contactado previamente)\n",
    "15. \"previous\": número de veces que ha sido contactada antes de esta campaña (numérica)\n",
    "16. \"poutcome\": resultado de la campaña de marketing anterior (categórica: \"unknown\", \"other\", \"failure\", \"success\")\n",
    "17. \"y\": categoría ¿el cliente se suscribió a un depósito a término? (categórica: \"yes\", \"no\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7wXHT_PLEFkr"
   },
   "source": [
    "#3. Lectura del dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "executionInfo": {
     "elapsed": 1200,
     "status": "ok",
     "timestamp": 1671481191538,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "SQ_-SdsX7enM"
   },
   "outputs": [],
   "source": [
    "# Importar librerías\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 20429,
     "status": "ok",
     "timestamp": 1671481228995,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "yECOD3UAEV-a",
    "outputId": "311a7986-6371-4d94-b21c-e9f5b88941ae"
   },
   "outputs": [],
   "source": [
    "# Lectura\n",
    "#from google.colab import drive\n",
    "#drive.mount('/gdrive')\n",
    "\n",
    "ruta = \"../datos/dataset_banco_clean.csv\"\n",
    "data = pd.read_csv(ruta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 288
    },
    "executionInfo": {
     "elapsed": 207,
     "status": "ok",
     "timestamp": 1671481233164,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "DAurjZa07b5Z",
    "outputId": "302a2b68-032a-4ff6-e07a-24161001e9ca"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(45189, 17)\n"
     ]
    },
    {
     "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>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>balance</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>day</th>\n",
       "      <th>month</th>\n",
       "      <th>duration</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>58</td>\n",
       "      <td>management</td>\n",
       "      <td>married</td>\n",
       "      <td>tertiary</td>\n",
       "      <td>no</td>\n",
       "      <td>2143.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>261.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>single</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>29.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>33</td>\n",
       "      <td>entrepreneur</td>\n",
       "      <td>married</td>\n",
       "      <td>secondary</td>\n",
       "      <td>no</td>\n",
       "      <td>2.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1506.0</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>33</td>\n",
       "      <td>unknown</td>\n",
       "      <td>single</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>unknown</td>\n",
       "      <td>5</td>\n",
       "      <td>may</td>\n",
       "      <td>198.0</td>\n",
       "      <td>1</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>unknown</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age           job  marital  education default  balance housing loan  \\\n",
       "0   58    management  married   tertiary      no   2143.0     yes   no   \n",
       "1   44    technician   single  secondary      no     29.0     yes   no   \n",
       "2   33  entrepreneur  married  secondary      no      2.0     yes  yes   \n",
       "3   47   blue-collar  married    unknown      no   1506.0     yes   no   \n",
       "4   33       unknown   single    unknown      no      1.0      no   no   \n",
       "\n",
       "   contact  day month  duration  campaign  pdays  previous poutcome   y  \n",
       "0  unknown    5   may     261.0         1   -1.0         0  unknown  no  \n",
       "1  unknown    5   may     151.0         1   -1.0         0  unknown  no  \n",
       "2  unknown    5   may      76.0         1   -1.0         0  unknown  no  \n",
       "3  unknown    5   may      92.0         1   -1.0         0  unknown  no  \n",
       "4  unknown    5   may     198.0         1   -1.0         0  unknown  no  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(data.shape)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gbT63UImRsy4"
   },
   "source": [
    "# 4. Análisis exploratorio\n",
    "\n",
    "La idea es usar herramientas estadísticas y de visualización para:\n",
    "\n",
    "- Crear un mapa mental del set de datos (entenderlo)\n",
    "- Empezar a encontrar respuestas a la pregunta planteada inicialmente (¿qué perfil tienen los clientes con mayor potencial de conversión?)\n",
    "\n",
    "Llevaremos a cabo estas fases:\n",
    "\n",
    "1. Análisis de cada variable de manera individual\n",
    "2. Análisis univariado: relación de cada variable predictora con la variable a predecir\n",
    "3. Análisis bivariado: relación de pares de variables predictoras con la variable a predecir"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vQHLenXuSPCb"
   },
   "source": [
    "## 4.1 Análisis de cada variable de manera individual\n",
    "\n",
    "Nos permite entender las características generales de cada variable de nuestro set de datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 211,
     "status": "ok",
     "timestamp": 1671481423036,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "hoqrRlt_BWFZ",
    "outputId": "0d9ae89c-74cd-4094-8534-9dacf92d2f7a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 45189 entries, 0 to 45188\n",
      "Data columns (total 17 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   age        45189 non-null  int64  \n",
      " 1   job        45189 non-null  object \n",
      " 2   marital    45189 non-null  object \n",
      " 3   education  45189 non-null  object \n",
      " 4   default    45189 non-null  object \n",
      " 5   balance    45189 non-null  float64\n",
      " 6   housing    45189 non-null  object \n",
      " 7   loan       45189 non-null  object \n",
      " 8   contact    45189 non-null  object \n",
      " 9   day        45189 non-null  int64  \n",
      " 10  month      45189 non-null  object \n",
      " 11  duration   45189 non-null  float64\n",
      " 12  campaign   45189 non-null  int64  \n",
      " 13  pdays      45189 non-null  float64\n",
      " 14  previous   45189 non-null  int64  \n",
      " 15  poutcome   45189 non-null  object \n",
      " 16  y          45189 non-null  object \n",
      "dtypes: float64(3), int64(4), object(10)\n",
      "memory usage: 5.9+ MB\n"
     ]
    }
   ],
   "source": [
    "# Con data.info() podemos ver las variables categóricas\n",
    "# (Dtype=object)\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 2376,
     "status": "ok",
     "timestamp": 1671481528631,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "CgPpqtH6SbPg",
    "outputId": "015dcbc6-64b5-4375-9ff0-91ca9a85241d"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x4500 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tomemos las variables categóricas y generemos gráficos de barras\n",
    "\n",
    "col_cat = ['job', 'marital', 'education', 'default', 'housing',\n",
    "       'loan', 'contact', 'month', 'poutcome', 'y']\n",
    "\n",
    "# Gráficos de barras de conteo\n",
    "fig, ax = plt.subplots(nrows=len(col_cat), ncols=1, figsize=(10,45))\n",
    "fig.subplots_adjust(hspace=0.5)\n",
    "\n",
    "for i, col in enumerate(col_cat):\n",
    "  sns.countplot(x=col, data=data, ax=ax[i])\n",
    "  ax[i].set_title(col)\n",
    "  ax[i].set_xticklabels(ax[i].get_xticklabels(),rotation=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8CtsBydBUwtw"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "Niveles de cada variable de interés:\n",
    "- 'job': 12\n",
    "- 'marital': 3 (married, single, divorced)\n",
    "- 'education': 4 (primary, secondary, tertiary, unknown)\n",
    "- 'default': 2 (Yes, No). En este caso la gran mayoría de contactados tienen valores 'No'\n",
    "- 'housing': 2 (Yes, No). En este caso el set está relativamente balanceado.\n",
    "- 'loan': 2 (Yes, No). En este caso la gran mayoría contiene valores 'No'.\n",
    "- 'poutcome': 4 (unknown, failure, other, success). La gran mayoría está en el nivel 'unknown'\n",
    "- 'y': 2 (No, Yes). La gran mayoría está en el nivel 'No'. Si mas adelante se implemente algún modelo predictivo con Machine Learning se debe tener en cuenta este desbalance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 169,
     "status": "ok",
     "timestamp": 1671481754992,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "ybkh-ernSseF",
    "outputId": "894983af-cbf5-4f26-fe8e-abdca4c5e113"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'job', 'marital', 'education', 'default', 'balance', 'housing',\n",
       "       'loan', 'poutcome', 'y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Eliminemos las columnas \"contact\", \"month\", \"day\", \"duration\", \"campaign\",\n",
    "# \"pdays\" y \"previous\" pues no aportan información sobre el cliente\n",
    "\n",
    "data.drop(columns=['contact','month', 'day', 'duration', 'campaign', 'pdays',\n",
    "                   'previous'],inplace=True)\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "A1FSj2Z5X0mS"
   },
   "source": [
    "Veamos inicialmente el comportamiento de las variables numéricas ('age' y 'balance')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "executionInfo": {
     "elapsed": 201,
     "status": "ok",
     "timestamp": 1671481809909,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "_6wOsbREYFOm",
    "outputId": "5fc64dd0-86d0-42b5-d6d5-9a366c4aaa30"
   },
   "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>age</th>\n",
       "      <th>balance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>45189.000000</td>\n",
       "      <td>45189.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>40.936445</td>\n",
       "      <td>1374.012149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.618502</td>\n",
       "      <td>3924.370039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>-8019.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>72.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>448.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>1428.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>95.000000</td>\n",
       "      <td>527532.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                age        balance\n",
       "count  45189.000000   45189.000000\n",
       "mean      40.936445    1374.012149\n",
       "std       10.618502    3924.370039\n",
       "min       18.000000   -8019.000000\n",
       "25%       33.000000      72.000000\n",
       "50%       39.000000     448.000000\n",
       "75%       48.000000    1428.000000\n",
       "max       95.000000  527532.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Podemos extraer algunas variables estadísticas descriptivas básicas\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 350
    },
    "executionInfo": {
     "elapsed": 1315,
     "status": "ok",
     "timestamp": 1671481944058,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "VxEln53IYNIz",
    "outputId": "55558065-c747-4f6f-ce8b-0b64879e3d46"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pero muchas veces es más útil graficar dichas variables\n",
    "\n",
    "# Dibujar histogramas\n",
    "col_num = ['age', 'balance']\n",
    "\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(15,5))\n",
    "fig.subplots_adjust(hspace=0.5)\n",
    "\n",
    "for i, col in enumerate(col_num):\n",
    "    if col == 'age':\n",
    "        nbins = 10\n",
    "    else:\n",
    "        nbins = 50\n",
    "    sns.histplot(x=col, data=data, ax=ax[i], bins=nbins, kde = True)\n",
    "    ax[i].set_title(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 216,
     "status": "ok",
     "timestamp": 1671481999966,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "7_xv9GHDZud-",
    "outputId": "381bbb82-7069-434d-db3d-e4bf5c89c376"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count     45189.000000\n",
       "mean       1374.012149\n",
       "std        3924.370039\n",
       "min       -8019.000000\n",
       "25%          72.000000\n",
       "50%         448.000000\n",
       "75%        1428.000000\n",
       "max      527532.000000\n",
       "Name: balance, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Veamos en detalle lo que ocurre con balance\n",
    "data['balance'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u1s_ZEjqY0S7"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- La mayor parte del grupo contactado tiene edades entre los 30 y los 50 años, con sesgo hacia los 30-40 años\n",
    "- La mayor parte del grupo contactado (75%) tiene saldos o negativos o que no superan los 1500 euros aproximadamente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WBRbd-MQbMu_"
   },
   "source": [
    "## 4.2 Análisis univariado\n",
    "\n",
    "Teniendo claras algunas características generales de cada dato individual, la idea ahora es analizar si existe alguna relación entre las posibles variables predictoras ('age', 'balance', 'job', 'marital', 'education', etc.) y la variable a predecir ('y').\n",
    "\n",
    "Esto se conoce como análisis univariado. \n",
    "\n",
    "⚠️⚠️⚠️ ADVERTENCIA ⚠️⚠️⚠️\n",
    "\n",
    "Este análisis nos mostrará sólo una faceta de las posibles relaciones entre una cada variable predictora y la variable a predecir, y no es suficiente para extraer conclusiones definitivas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "executionInfo": {
     "elapsed": 195,
     "status": "ok",
     "timestamp": 1671482268857,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "afsIaQTKytXJ"
   },
   "outputs": [],
   "source": [
    "# Comencemos representando la variable a predecir de forma binaria:\n",
    "# 'yes' = 1, 'no' = 0\n",
    "diccionario = {'yes':1, 'no':0}\n",
    "binario = data['y'].map(diccionario)\n",
    "data['y_bin'] = binario\n",
    "\n",
    "# De esta forma resulta fácil calcular la tasa de conversión: el promedio\n",
    "# de la columna 'y_bin'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 351
    },
    "executionInfo": {
     "elapsed": 460,
     "status": "ok",
     "timestamp": 1671482304248,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "xtRgD6ACYarO",
    "outputId": "55876463-a7bf-41bc-e7e2-6b65492ab24f"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analizar la relación entre las variables numéricas y la variable a predecir ('y')\n",
    "fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(15,5))\n",
    "fig.subplots_adjust(hspace=.25)\n",
    "\n",
    "for i, col in enumerate(col_num):\n",
    "  bplt = sns.boxplot(x=\"y_bin\", y=col, data=data, ax=ax[i])\n",
    "  ax[i].set_xlabel('y_bin (1: yes, 0:no)')\n",
    "  ax[i].set_title(col)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "o32fcHXgcTC6"
   },
   "source": [
    "**Observaciones:**\n",
    "- Ni en 'age' ni en 'balance' se observan diferencias entre las personas que adquirieron o no el producto.\n",
    "- Al parecer las variables numéricas no resultan en principio siendo variables predictivas.\n",
    "\n",
    "Sin embargo estas variables numéricas se encuentran en un amplio rango.\n",
    "\n",
    "Podemos calcular las tasas de conversión definiendo intervalos para estas variables numéricas y ver si podemos extraer información relevante de ese análisis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "executionInfo": {
     "elapsed": 173,
     "status": "ok",
     "timestamp": 1671482554614,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "C6qJOaJozhBL"
   },
   "outputs": [],
   "source": [
    "# Función para graficar tasas de conversión\n",
    "\n",
    "def graficar_tasas_conversion(var_predictora, var_predecir, type='line', order=None):\n",
    "    x, y = var_predictora, var_predecir\n",
    "\n",
    "    # Generar agrupaciones (groupby), calcular tasa de conversión (mean),\n",
    "    # multiplicarla por 100 (mul(100))\n",
    "    grupo = data.groupby(x)[y].mean().mul(100).rename('tasa_conv').reset_index()\n",
    "\n",
    "    # Y generar gráfica\n",
    "    if type=='line': # Útil para rangos continuos\n",
    "        plt.figure(figsize=(10,6))\n",
    "        sns.lineplot(x=var_predictora, y='tasa_conv', data=grupo)\n",
    "        plt.grid()\n",
    "    elif type=='bar': # Útil si los datos están divididos en rangos o son categóricos\n",
    "        plt.figure(figsize=(14,6))\n",
    "        sns.barplot(x=var_predictora, y='tasa_conv', data=grupo, order=order)\n",
    "        plt.grid()\n",
    "    elif type=='scatter': # Útil si los datos están divididos en rangos o son categóricos\n",
    "        plt.figure(figsize=(10,6)) \n",
    "        sns.scatterplot(x=var_predictora, y='tasa_conv', data=grupo)\n",
    "        plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 502,
     "status": "ok",
     "timestamp": 1671482579477,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "i1A47SGB0DBd",
    "outputId": "12df9d29-f0f0-4f75-e57a-8b97640a7c7f"
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1IAAAINCAYAAAA0iU6RAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACb+UlEQVR4nOzdd5iU5bk/8O87dXe2F7ZRF1ilF0FQxIAFVCyJHjWW2I0mmETERGNMIpoE1JxjSOJRYzRKVKLJsfw0sYANVER677AsZXfZXmd36vv7Y+Z9Z7ZO2Zm3zHw/1+WVsDu7+8zDAnPvfT/fRxBFUQQRERERERGFzaD2AoiIiIiIiPSGhRQREREREVGEWEgRERERERFFiIUUERERERFRhFhIERERERERRYiFFBERERERUYRYSBEREREREUWIhRQREREREVGETGovQAu8Xi8qKyuRkZEBQRDUXg4REREREalEFEW0traipKQEBkPffScWUgAqKysxdOhQtZdBREREREQacfz4cQwZMqTP97OQApCRkQHAt1mZmZkqryY2XC4XVq1ahfnz58NsNqu9nITH/VYO91pZ3G/lcK+Vxf1WDvdaWdzvgWtpacHQoUPlGqEvLKQAeZwvMzMzoQopm82GzMxM/iFSAPdbOdxrZXG/lcO9Vhb3Wznca2Vxv2Mn1JEfhk0QERERERFFiIUUERERERFRhFhIERERERERRYiFFBERERERUYRYSBEREREREUWIhRQREREREVGEWEgRERERERFFiIUUERERERFRhFhIERERERERRYiFFBERERERUYRYSBEREREREUWIhRQREREREVGEWEgRERERERFFiIUUERERERFRhFQtpNauXYvLL78cJSUlEAQB77zzTpf3i6KIJUuWoKSkBKmpqZg7dy52797d5TEOhwM//vGPkZ+fj7S0NFxxxRU4ceKEgs+CiIiIiIiSjaqFVHt7OyZPnoynn3661/c/+eSTeOqpp/D0009j48aNKCoqwrx589Da2io/ZtGiRXj77bfx+uuv48svv0RbWxsuu+wyeDwepZ4GERERERElGZOaX/ySSy7BJZdc0uv7RFHE8uXL8fDDD+Oqq64CAKxYsQKFhYVYuXIl7r77bjQ3N+PFF1/EK6+8ggsvvBAA8Oqrr2Lo0KH4+OOPcdFFFyn2XIiIiIiI1Hakth3b6wUYd5+CyWSM+9fLsVlw5ohcGAxC3L+W1qhaSPWnvLwc1dXVmD9/vvw2q9WKOXPmYN26dbj77ruxefNmuFyuLo8pKSnBhAkTsG7duj4LKYfDAYfDIf+6paUFAOByueByueL0jJQlPY9EeT5ax/1WDvdaWdxv5XCvlcX9Vg73WjmtnW58+5mv0ek24m8Htiv2dZ+5fgrmjStQ7OvFW7jfq5otpKqrqwEAhYWFXd5eWFiIiooK+TEWiwU5OTk9HiN9fG+WLVuGRx99tMfbV61aBZvNNtCla8rq1avVXkJS4X4rh3utLO63crjXyuJ+K4d7HX91nUCn2wQBIkZkxP/r1XQA7W4Bq7/eDNdRMf5fUCF2uz2sx2m2kJIIQtc2oSiKPd7WXajHPPTQQ1i8eLH865aWFgwdOhTz589HZmbmwBasES6XC6tXr8a8efNgNpvVXk7C434rh3utLO63crjXyuJ+K4d7rZxDNW3A1nVINQL/ue/8uO/3z/5vJ97ZXoWy08dgwezSuH4tJUnTaqFotpAqKioC4Os6FRcXy2+vqamRu1RFRUVwOp1obGzs0pWqqanBrFmz+vzcVqsVVqu1x9vNZnPC/QFPxOekZdxv5XCvlcX9Vg73Wlncb+VwrxVg8J2JMhqU2W+r2VdKiDAk1O9tuM9Fs/dIlZaWoqioqEsb2Ol0Ys2aNXKRNG3aNJjN5i6Pqaqqwq5du/otpIiIiIiIEo3L4wUAGBXKfTCbfF/I6fYq8wU1RtWOVFtbGw4dOiT/ury8HNu2bUNubi6GDRuGRYsWYenSpSgrK0NZWRmWLl0Km82GG264AQCQlZWFO+64A/fffz/y8vKQm5uLn/70p5g4caKc4kdERERElAxcHt85JaUKKZPB15Nxe1lIKW7Tpk0477zz5F9L55ZuueUWvPzyy3jggQfQ0dGBhQsXorGxETNnzsSqVauQkRE4PfeHP/wBJpMJ1157LTo6OnDBBRfg5ZdfhtEY/7hHIiIiIiKtkDpSJoVmziz+LyQVcMlG1UJq7ty5EMW+N14QBCxZsgRLlizp8zEpKSn485//jD//+c9xWCERERERkT5IhZRSVzqZDMk92qfZM1JERERERBQ+t78zZFLqjJQxuUf7WEgRERERESUAp9JhE/4v5HIn52gfCykiIiIiogTgVjhsQupIudiRIiIiIiIivZLjzw3KdIjkQipJwyZYSBERERERJQD1RvvYkSIiIiIiIp1i2ISyWEgRERERESUAl8IdKZO/kHJytI+IiIiIiPQqcEZKma8njfa5PexIERERERGRTrnUSu1jIUVERERERHrlVjxsgql9RERERESkc1JnSLmwCaHL1002LKSIiIiIiBKAFPpgUOyMFEf7iIiIiIhI59yKd6T88ecc7SMiIiIiIr1SPv7c94Wc7EgREREREZFeubxSap8yHSILO1JERERERKR3LrfS90jxjBQREREREemc26vsPVImpvYREREREZHeORUOm7DwHikiIiIiItI7abTPwI6UIlhIERERERElAGm0z6TwGSm3V4QoJl9XioUUEREREVECUDr+3Bx0828yjvexkCIiIiIiSgCKF1JBh7Hc3uQb72MhRURERESUAKSukGKFVFDOusvNjhQREREREemQ26PsPVKmoFQLFztSRERERESkR05/R0qp+HNBEGBO4uQ+FlJERERERAlA6TNSAGDyB05wtI+IiIiIiHRJHu0TlCtq5I4UR/uIiIiIiEiPlA6bAAKBExztIyIiIiIiXXIpHDYBBF3Ky3ukiIiIiIhIj6RCSqmwCSBwl5STHSkiIiIiItIjqStkULKQMrAjRUREREREOiZ1hUwqjPbxjBQREREREemSKvHnRo72ERERERGRTnm8Irz+6To1Uvs42kdERERERLoTPFqnbCEl9Pj6yYKFFBERERGRzrm9gY4Q75FSBgspIiIiIiKdc7kDhYw6YRMc7SMiIiIiIp1xeX2FlCAoHH/ub3+52ZEiIiIiIiK9kTpCUodIKRztIyIiIiIi3ZJG+8xKtqMAmPyFlJOjfUREREREpDdu/2if8h0pjvYREREREZFOOd3SaJ+yHSkLR/uIiIiIiEivpI6USeGOlEm+R4qjfUREREREpDNSR0jpjhTDJoiIiIiISLek0T6Tgal9SmEhRURERESkc9Jon0XxjhRH+4iIiIiISKekjpDiZ6QM7EgREREREZFOBS7kVTi1z+QrJ9zsSBERERERkd4EwibUuUeKHSkiIiIiItIdqSNkUrgjJY/2edmRIiIiIiIinXGq1ZHyj/a53OxIERERERGRzsijfQaFU/sMHO0jIiIiIiKdcsthEyrdI8XRPiIiIiIi0ptA/LnCZ6SksAmO9hERERERkd64VOpIWfxfT7oQOJmwkCIiIiIi0jn14s99X8/Je6SIiIiIiEhv3HIhpc5on5thE0REREREpDdOlUf7mNpHRERERES6I4dNKBx/bpILKY72ERERERGRzrhVOyPFe6SIiIiIiEinAqN9Cl/Iy9E+IiIiIiLSK/U6Uv74c472ERERERGR3rhUSu2Tvp6THSkiIiIiItIbl9fXETKxI6UYFlJERERERDrncqvVkeIZKSIiIiIi0qlA/LmyL+/lC3m9IkQxubpSLKSIiIiIiHTO7R/ts6jUkQKS7y4pFlJERERERDrndKuT2mfpUkgl13gfCykiIiIiIp1zy2ETynakgr9esgVOsJAiIiIiItI5l0r3SJkMgUIq2SLQWUgREREREemcdD5J6Y6UIAhyUqDby0KKiIiIiIh0ROpIWRTuSAFBEehujvYREREREZGOBOLPle1IBX9NjvZpiNvtxi9/+UuUlpYiNTUVI0eOxGOPPQZvUNtQFEUsWbIEJSUlSE1Nxdy5c7F7924VV01EREREpCwp6EHpM1IAYDH5viZH+zTkiSeewHPPPYenn34ae/fuxZNPPonf//73+POf/yw/5sknn8RTTz2Fp59+Ghs3bkRRURHmzZuH1tZWFVdORERERKQcp0phE8Ffk6N9GvL111/j29/+Ni699FKMGDECV199NebPn49NmzYB8HWjli9fjocffhhXXXUVJkyYgBUrVsBut2PlypUqr56IiIiI9Kq+zYG9VS1qLyNsbmm0T+GwieCv6UqyjpRJ7QX0Z/bs2Xjuuedw4MABnHbaadi+fTu+/PJLLF++HABQXl6O6upqzJ8/X/4Yq9WKOXPmYN26dbj77rt7/bwOhwMOh0P+dUuL7w+Jy+WCy+WK3xNSkPQ8EuX5aB33Wznca2Vxv5XDvVYW91s5et3rO1dsxLYTzfjkvtkYmmNTezkhSR0pQfQAUHa/zf4zUh0Op+5+n3sT7nPQdCH14IMPorm5GWPGjIHRaITH48Hvfvc7XH/99QCA6upqAEBhYWGXjyssLERFRUWfn3fZsmV49NFHe7x91apVsNm0/wclEqtXr1Z7CUmF+60c7rWyuN/K4V4ri/utHL3t9Z5KI0RRwP99sAanZ2t/ZM3hNAIQsH7dV8i1KrvfHe2+r/3Vum9Qt0f7exWK3W4P63GaLqTeeOMNvPrqq1i5ciXGjx+Pbdu2YdGiRSgpKcEtt9wiP04QurYwRVHs8bZgDz30EBYvXiz/uqWlBUOHDsX8+fORmZkZ+yeiApfLhdWrV2PevHkwm81qLyfhcb+Vw71WFvdbOdxrZXG/laPHve50eeD4+hMAwJhJU3HJhCKVVxTafetXAQDOn/MtbFu/VtH9fr7ia1R1tOKM6dMx57RBinzNeJKm1ULRdCH1s5/9DD//+c9x3XXXAQAmTpyIiooKLFu2DLfccguKinzf1NXV1SguLpY/rqampkeXKpjVaoXVau3xdrPZrJs/4OFKxOekZdxv5XCvlcX9Vg73Wlncb+Xoaa9PtQVGuzrcoubX7fGK8PobQakpFgDK7rfFZAQAeGHQ/F6FI9znoOmwCbvdDoOh6xKNRqMcf15aWoqioqIurUun04k1a9Zg1qxZiq6ViIiIiBJDXZtT/v8tHW4VVxIeV9D9TSaDCql9Bin+XP9jfZHQdEfq8ssvx+9+9zsMGzYM48ePx9atW/HUU0/h9ttvB+Ab6Vu0aBGWLl2KsrIylJWVYenSpbDZbLjhhhtUXj0RERER6VFda1AoWaf2wxOCCymLCql9ZpPQYx3JQNOF1J///Gf86le/wsKFC1FTU4OSkhLcfffd+PWvfy0/5oEHHkBHRwcWLlyIxsZGzJw5E6tWrUJGRoaKKyciIiIivaprCxRSrZ3a70hJl/ECgEmFe6SkLpjLw46UZmRkZGD58uVy3HlvBEHAkiVLsGTJEsXWRURERESJK7iQaunQT0fKIABGgwodKelC3iTrSGn6jBQRERERkdK6nJHSwWifU76MV52X9mZjco72sZAiIiIiIgrSpSOlo9E+i2qFVHKO9rGQIiIiIiIKotfRPrMKQRO+r8vRPiIiIiKipBc82qeHsAmpE6T2aJ+bhRQRERERUfLqOtqnn46U2qN9To72ERERERElJ5fHiyZ7oHhqc7jh1fhFs26vFDahzmifiR0pIiIiIqLk1tDuG+sT/DWJKAKtDm2P9zndvkLPrFJHysIzUkREREREya221TfWl5dmhdXke6ms9cAJqYAxqXCHFBDoSDG1j4iIiIgoSUnno/LTLchMNQPQfuCENNpnMakdf86OFBERERFRUpIS+wZlWJGZYgKg/cAJtUf7krWQMqm9ACIiIiIirQh0pKxyJ0rro31y2IRKo32B+HOO9hERERERJaV6HY72yfHnKo/2OZOsI8VCioiIiIjITxrty0uPzWif0+3F5orGuEaDyxfyqhY24Ssp2JEiIiIiIkpSwaN9GSm+jlRLR/QdqRe+PIL/enYd/rHhWEzW1xupI6Ve/LmU2seOFBERERFRUpLiz32jfb6OVOsAOlKHa9oBACcaOwa+uD643OoWUiYDR/uIiIiIiJKaNNqXn25FptSRGkAh1dzh+3wOd/yKDLdXSu1TKWzCxNE+IiIiIqKk5fWKaGj3daS6xJ8PYLSv0e4rwuJZSDk52qcKFlJERERERAAa7U74mzvITQtK7XNE35Fqsvs6Us54dqSksAmVR/tcXnakiIiIiIiSjjTWl20zw2w0BEb7BtCRau6QOlKegS+wD3L8ucqjfa44FotaxEKKiIiIiAhdE/sAIGOA8eeiKKLJP9oXz46US+WOlNkfuy5dDJwsWEgRERERESG4kLIAwIAv5G1zuOUgiHgm2qkdfy53pBg2QURERESUfIIT+wAEjfa5IIqRFwlSNwoAHK74F1Kqjfb5C7h4dt20iIUUERERERH6Hu1ze0V0uCI/4ySdjwLi3ZFSO2yCo31EREREREmrrrXraJ/NYoTRXyREEzjRpSOlQNiEavHnHO0jIiIiIkpe3TtSgiDId0m1RhE40eiPPgfiHX8uFVLqjPZJHSneI0VERERElIS6n5ECAoET0ST3NXUEd6TiP9qnWtiEUepIsZAiIiIiIko6ckcqI1BIyRHoUYz2NSvUkZLOX5lUDpvgaB8RERERUZIRRRH1ckfKIr9dTu6LpiMVdEZKmdE+tTpSvgLO4xXh9SZPMcVCioiIiIiSXkunW+7sdBntkwupyDtSjXZlR/ssKt8jBQCuJEruYyFFRERERElPGutLt5qQYjbKbw+M9kXekWruUGa0z6X2aJ8hUFK4k2i8j4UUERERESW97tHnEilsojWKjlSX0T6PN25jb2rHnwenBSZT4AQLKSIiIiJKer0l9gEDPCPVrYsVr0t53V4ptU+djpR01xaQXIETLKSIiIiIKOnVt3e9Q0oykNG+pqDUPiB+56SksUG1OlKCIMjns9iRIiIiIiJKIvJoX0ZsRvtEUewy2gfE75yUfEbKoN5Le+l8FgspIiIiIqIkUtvnaJ+/IxXhaF+70yOP3An+yTeH2zPAVfZO+joWkzqjfUBy3iXFQoqIiIiIkp6U2pfXY7TPf0YqwtE+aazPYjIg3eorxuLWkVJ5tC/4a7MjRURERESURKRCalCP1D6pIxXZaJ801pdjM8Nq8sWpxytswuXvSKk52icFXTD+nIiIiIgoidSHSO1rjXC0TyqkslMtsPovrHW44ntGSgujffEqFrWIhRQRERERJT2pI9VXIdXp8kZ0xqnJfxlvls0sF1Jxiz/3qN+RMskdKRZSRERERERJwe50w+70FUn5GV0LqXR/2AQQWXJfoCNlhiXOHSmpQDOb1Htpb2HYBBERERFRcqlr9XWPrCYD0izGLu8zGgRk+MMiIiukfJ8zx2YJ6kjFJ7VPGu1T60Je39dm2AQRERERUVKpDRrrE4SexUg0l/LKHSlbfDtSHq8I0d8EMmtgtI+FFBERERFRkqiXCqluY30S6VLeSO6SavIXXVlxTu0LLlzUHO3jPVJEREREREmmzp/Y1z36XBJI7ovmjJQl0JGKwz1SwYWUyaDmaJ8/bMLLjhQRERERUVLoK7FPEt1on3RGyiwHMcSnkAp0gLRwIW+8Lh3WIhZSRERERJTUQhVSAx7tM8evyJDixg2CLxhDLVL0utvL0T4iIiIioqQgFVJ5fY72RZPaFzTaJ3ekYp/aJ0efq9iNAgKXATNsgoiIiIgoSUjx5yE7UmGO9omiiGb/hbzZce5ISaN9FpULKY72ERERERElmbr2MM9IhdmRand65AInx2aBxehL7YvHGSlptM+k4h1SAEf7iIiIiIiSTl2rr5AalNF/al+4HSkpaMJiMiDFbIhrR0pzo33sSBERERERJT6H2yN3mkKN9oV7RipwPsoMQRDiekbK7e98qV1ISR0pFztSRERERESJr95/h5TJIMidp+4Co33hdaSa/Z2rHJuvwxXfM1JSR0rd0b7AhbzsSBERERERJbzgxD5DH/HhkY72NfpH+7Jsvo+zxDGIQTqLZVI9bMJ/IS8LKSIiIiKixCd1pPoa6wMGNtoHAFZTPC/k1cYZqUBHiqN9REREREQJrzbEZbxAYLSv1eGGJ4wzQNJoX7ZNKqR8qX3xHO2zaGS0z8mOFBERERFR4quLoJACgLYwulJSap90RsoS146UNkb7TBztIyIiIiJKHvJlvH1EnwO+jlKKPzAinMCJRv9oX5at62hfIodNWDjaR0RERESUPOSOVFrfHSkAyJACJ8IopAJnpLp3pOIQf+7VxhkpqSPF1D4iIiIioiRQ3+4vpPrpSAFAphSB3hF6tK+5w9fl6n5GKi6jfW5t3CPF+HMiIiIioiQij/b1c0YKCE7ui6AjJcWfm+IXxODyd6RMfUS3KyUQf87RPiIiIiKihBdO2AQQPNoXuiPV2NdonyseHSn/aJ9JGx0ppvYRERERESU4t8eLBnuYHSl5tK//jpQoir2M9sWxI+XvAFk42qc4FlJERERElJQa7E6IIiAIQG5aiDNSqeGFTdidHrm46T7a53DFPmyCo33qYSFFRERERElJOh+Va7PAGKIQkS/lDTHa1+TvWFlMBqSafSETce1ISWETGhntY0eKiIiIiCjByYl9Icb6ACBTOiMVYrSvsd0/1pdqhiD4irPgC3lFMbYdGzn+XOWOlIn3SBERERERJQc5aCJE9DkQ/mhfc0fXxD4gEH8uioDbG9tCw+nRxj1SZt4jRURERESUHMKNPgcCYRMhR/u6JfYBgdE+AHDG+C4prYz2WTjaR0RERESUHMKNPgeCRvtCdKSauiX2AV0T9WJ9KS9H+9TDQoqIiIiIklKtv5DKSw9ntE+KPw+zIxVUSBkMgjz6FvOOFEf7VMNCioiIiIiSUn1bJKN9vsKoNVRHyi51pLoWZ1JXyuGObQS61AEyqV5I+b5+rM+AaRkLKSIiIiJKStJo36AwCqkMebTP3W/yntSRyko1d3m71R+FHr+OlNr3SPlH+2L8/LSMhRQRERERJaWIzkj5R/s8XhF2Z99dJekeqZw+O1IxPiPl70ipPdonXQgsXRCcDFhIEREREVHS8XrFwGhfGPHnqWajXCz0l9wXGO3r3pGKTyGllfhz6a4shk1oyMmTJ/G9730PeXl5sNlsmDJlCjZv3iy/XxRFLFmyBCUlJUhNTcXcuXOxe/duFVdMRERERFrX3OGSz/PkpYXuSAmCgAx/BHp/yX2B+POuhVT8zkhpa7TP4xXhTZJzUpoupBobG3HOOefAbDbjgw8+wJ49e/A///M/yM7Olh/z5JNP4qmnnsLTTz+NjRs3oqioCPPmzUNra6t6CyciIiIiTatv9431ZaaY5G5KKPKlvB39FFL+92X10ZGK9RkpzYz2BRVyyTLeZ1J7Af154oknMHToULz00kvy20aMGCH/f1EUsXz5cjz88MO46qqrAAArVqxAYWEhVq5cibvvvlvpJRMRERGRDtRKl/FmhO5GSQLJfb2P9omiiGZ7/2ekYl1IaWa0L+jruzwirJquMmJD00/x3XffxUUXXYRrrrkGa9asweDBg7Fw4UJ8//vfBwCUl5ejuroa8+fPlz/GarVizpw5WLduXZ+FlMPhgMPhkH/d0tICAHC5XHC5+o+01AvpeSTK89E67rdyuNfK4n4rh3utLO63crS616ea7QCAvDRL2GtLt/qS9xraOnv9mHaHWy5s0sxdn7M0emd3xPb1pss/KiiI3i6vZZXebzHo/qiOTiesBv2O94W7d5oupI4cOYJnn30Wixcvxi9+8Qts2LABP/nJT2C1WnHzzTejuroaAFBYWNjl4woLC1FRUdHn5122bBkeffTRHm9ftWoVbDZbbJ+EylavXq32EpIK91s53Gtlcb+Vw71WFvdbOVrb67VVAgAjXK31eP/998P6mPYmAwADvt68DaaTW3u8v8EBACYYBRGfrV4FIejYUkuj72M3btkK4Xjsioy6BiMAAdu2bobraODzKr3foggIMEKEgA9XrUZm6PwOzbLb7WE9TtOFlNfrxfTp07F06VIAwNSpU7F79248++yzuPnmm+XHCULXw3WiKPZ4W7CHHnoIixcvln/d0tKCoUOHYv78+cjMzIzxs1CHy+XC6tWrMW/ePJjN5tAfQAPC/VYO91pZ3G/lcK+Vxf1Wjlb3et/qg8DRckwcPRwLFowN62O+cOzGjoaTGDbqdCyYM7LH+/dUtQBb1iMvPQWXXjqny/vea9yKvU21GDNuIhacOSQmzwEAnj2yDmhvw9kzZ2D26DxV9/tnG1fD5REx57zzUZyVoujXjiVpWi0UTRdSxcXFGDduXJe3jR07Fm+++SYAoKioCABQXV2N4uJi+TE1NTU9ulTBrFYrrNae87Bms1lTf8BjIRGfk5Zxv5XDvVYW91s53Gtlcb+Vo7W9buzwnXMalJka9rqy/Oee2l3eXj+m3enrCGXbej7XFIv/HioRMd0Hlz8hL9Xa9Wuqsd8WowEujweiYNDU73Wkwl27plP7zjnnHOzfv7/L2w4cOIDhw4cDAEpLS1FUVNSldel0OrFmzRrMmjVL0bUSERERkX5EchmvRAqbaOnoPWyiUY4+7znXJiUDxvoeKZdGUvsAwCzfJcXUPtXdd999mDVrFpYuXYprr70WGzZswPPPP4/nn38egG+kb9GiRVi6dCnKyspQVlaGpUuXwmaz4YYbblB59URERESkVbXSZbzp4R/myUzt/x6ppg7f5+wefQ4AVpMvqCL28efauEcKAEyG5LqUV9OF1Jlnnom3334bDz30EB577DGUlpZi+fLluPHGG+XHPPDAA+jo6MDChQvR2NiImTNnYtWqVcjIyFBx5dH74mAt6tucmD++EDaLpn97iIiIFOX1ith6vAnjijORajGqvRzSubpWf0cqgvjzjBDx501y9HlvhZQ//jzG3RqnhjpSFn8xx46URlx22WW47LLL+ny/IAhYsmQJlixZotyi4mjha1vQ2unGx4vnYHRButrLISIi0owPd1dj4WtbcPPZw/HYtyeovRzSMVEU5dG+QRGN9vk7Un1cyNvsf3u2TbnRPrdXQx0pY3J1pNQvXamLvDTfH7yGdqfKKyEiItKW7SeaAAB7q8JL1CLqS5vDLRc0eRGN9vnPSPUx2tfof/2WldpPRyrWZ6Tc2riQ17eG5OpIqb/j1EWuXEg5QjySiIgouVTU+e52qWruVHklpHf1/vNRNosxoqMUGf6OVJ+jfXJHqmchZTFKHSlPRGsNRUrt00Yh5VuDmx2p3q1YsQJtbW3xWAshUEjVsyNFRETURUWDr5A61dIJrzc5XqhRfEST2AcEp/b1Mdonn5Hq2eWymmM/2ieKotz9MWlgtM9sTK7UvogLqZ/+9KcoLCzEddddh3//+99wu3uvyCk6UiHVyEKKiIhIJooiKurbAfjOX9RxcoMGIFBIhT/WBwRG+xxub6+dJSm1L7uX0b5ARyp2RYbHK0IUu35+NUmjfbEO1NCqiHe8qqoKb7zxBoxGI6677joUFxdj4cKFWLduXTzWl3Ry03w/GWFHioiIKKCuzQm7M/DCtZrjfTQAgejzyDpS6dbAGGBv433SPVK9xp+bYx9/7g7qzJo0UEiZONrXP5PJhMsuuwyvvfYaampqsHz5clRUVOC8887DqFGj4rHGpMKwCSIiop6kbpSE56RoIKKJPgcAo0FAhrX35D5RFOXRvl5T++LQkQru/Gghtc+SZKN9A4o/t9lsuOiii9DY2IiKigrs3bs3VutKWjkspIiIiHqoqLd3+XVVU4dKK6FEUN8e3RkpwDfe1+pwo6VbR6rD5ZELm17vkTJLqX2xC5sI7vyYDVroSDG1LyS73Y7XXnsNCxYsQElJCf7whz/gO9/5Dnbt2hXr9SUddqSIiIh6koImJFUt7EhR9OpapdG+yM5IAYHkvu4dKekyXovRgFRzzwujpW5NLEf7pILFaBBgMKjfkTIn2T1SEXekrr/+erz33nuw2Wy45ppr8Pnnn2PWrFnxWFtSymUhRURE1IM02pefbkFdm5NnpGhAok3tAwLJfd3PSDXa/XdI2cwQhJ5FTTwu5JUKKS2M9QGBYlG6JDjRRVxICYKAN954AxdddBFMpgFNBlIvguPPRVHs9Q8iERFRspFG+2aW5uE/O6tQ1cRCiqI3oEIq1d+R6nYpr3w+qpfEPgCwmmIfNiF1frQw1gcERvtifemwVkVcCa1cuTIe6yA/qZByur2wOz1Is7JYJSIikjpSM0fm+gqpFp6RoujVtUU/2tfXXVLSZby93SEFxLkjZdJGIcXRvjB88skn+OSTT1BTUwNvt9bd3/72t5gsLFnZLEZYTQY43F40tDtZSBERUdJr6XTJsdIzS/MAAKeaHfB6RU2cCyF96XR50ObwjeXlRdGRks5IdR/ta+on+hwArKb4nZEyaeTPgTRi6GbYRO8effRRzJ8/H5988gnq6urQ2NjY5T8aGEEQ5MAJ3iVFREQEHPOP9eWnWzByUBoEwRf7zH8nKRpSwWMyCMhMifwH1tKlvN1H+6QzUn2P9kkdqdil9smjfRq4QwoI7kglRyEV8XfPc889h5dffhk33XRTPNZDAHLTLahs7kQDb20nIiLCUf9Y3/C8NJiNBgxKt6Km1YHq5k4MivAeICIp0CvbZonqLHpfo33NHdIdUsqdkXJrLGzC5D+r5fImx2hfxOWr0+lkSl+cSbO1De2uEI8kIiJKfFLQxPBcGwCgOCsFAFDVrI9zUi2dLny2rwbeJHlxqXVS5yg3rfeCJ5S+R/sCBVpvpDNSzhh2a5xyIaWRjpTJf49UkoRNRLzrd955JwMn4ixwlxQ7UkRERBVBHSkAKPIXUtU6uUvq0Xf34LaXN+L9XVVqL4UQKKT6CoUIpa/RPmlksK+OlFRIuTxizIpqrY32WTja17/Ozk48//zz+PjjjzFp0iSYzV2/WZ566qmYLS5Z5ab5xhQ4+01ERBTUkcqTOlKpAIBKHUSge70iPt13CgCwt6oFl00qUXlF1Ng+wEJKHu3rPWwiO7X3z2sNStZzerxIMfS8tDdSHO1TV8SF1I4dOzBlyhQAwK5du7q8j3cexYbUam5oYyFFREQkFVLD8rqO9lXrYLRvb3WLnDjIu6+0QTo6kZMWXSEVGO3rHn8ujfb135ECAIfLixTzwAspF0f7VBVxIfXZZ5/FYx0UROpISa1nIiKiZNXp8sgjfCO6jfZVNWu/MFl3qF7+/5U6KPySwUDPSAVG+/roSPVRSJkMAgwC4BUBh8cDILqvH0wa7TNppCMlXQzsTpKO1IDK1xMnTuDkyZOxWgv55TL+nIiICABwvMHXjcqwmpDjf4Faku0b7dNFIXW4Tv7/1TpYbzIY8Bkpf0eqzeGWR+tEUZQv5O0rbEIQhMClvK7YdGw015HyF3SxDNTQsoh33ev14rHHHkNWVhaGDx+OYcOGITs7G7/5zW96XM5L0clLl8ImWEgREVFyOyqdj8q3yUcIijKl0b5OiKJ2f/Lt8nixobxB/nWVxtebLBoGeEYqIyXQSZIu9u1weeRY877ukQKCItBjVGi4NRY2YfKvI1ku5I14tO/hhx/Giy++iMcffxznnHMORFHEV199hSVLlqCzsxO/+93v4rHOpBKIP2chRUREyU1O7MtNk99WmJkiX8rb0O5EXro275LacaIJ7U4PslLNaO5wweHW9nqTRWC0L7pCymIyIMVsQKfLi9ZON7JtFnmsz2I0wGbp++xTrDtSTo2FTQRS+5LjBwYRF1IrVqzACy+8gCuuuEJ+2+TJkzF48GAsXLiQhVQMSPHnrZ1uON3eLocTiYiIkkn3xD7A92I0P92K2lYHqpo7NVuYfOU/H3XO6DxsKG9EXZu215ssGgcYNgH4kvs6XQ40d7gwFIHzUVk2c7/ha9YY3yWludE+KWwiSTpSEe96Q0MDxowZ0+PtY8aMQUNDQy8fQZHKSjXDaPB9IzJwgoiIkllFQ89CCgi+lFe7546k81GzRuWjJFv7600WgTNS0Yc9SMl90l1ScmJfP2N9QNClvDFKtdPcaJ8hue6RinjXJ0+ejKeffrrH259++mlMnjw5JotKdgaDIP/hrmcEOhERJTFptG9Y0GgfEHxOSptJeJ0uD7ZUNAEAZo3KCyr8tLneZNHp8sDu9AAYYEfKXzC1+pP7QiX2SaTRN4fbE/XXDqa10T4zR/v69+STT+LSSy/Fxx9/jLPPPhuCIGDdunU4fvw43n///XisMSnl2Cyoa3OyI0VEREnL7fHiZKOv8BiR37UjJSX3VWq0w7PpaCOcHi+KMlNQmp+mq0uEE5n0uspkEJBhjfhlsCxwKa+/I2XvP7FPYvXfHRXrjpRJIx0pqaBLlrCJiHd9zpw52L9/P6688ko0NTWhoaEBV111Ffbv349zzz03HmtMSoxAJyKiZFfZ1Am3V4TFZEBhRkqX9xVlBZL7tEge6xudB0EQ2JHSiODzUf2dZQolMNrn70iFOdpnlTtSsT0jZdFMISWdAWNHqk+DBw9mqEScyRHobQ6VV0JERKSOo3Jinw0GQ9cXvVovTL467AuamDUqHwBQrKO7rxJZLM5HAcGjfb7CrDnM0T6rObZnpFxebY72sSPVh5deegn/+te/erz9X//6F1asWBGTRREj0ImIiPoKmgAgj8ppsSPV0unCzhNNAHznowCgROOFX7IY6B1SksBon68jJRVooUb7Yn1GyuXW5mgfwyb68PjjjyM/P7/H2wsKCrB06dKYLIoCEegNPCNFRERJqqLO35HKS+vxvuDUPq1dcvvNkQZ4RaA0P00+yyV1pKqbO+H1amu9yaRpgHdISTJTu6X2qdWR0lr8eZKFTUS86xUVFSgtLe3x9uHDh+PYsWMxWRQF/oCzI0VERMmqv45UQabvLiaH24tG/4tYrQjEnufJbyvIsEIQfC8wef5ZPQ3t4YVChJKR0nW0r8kfOpGdGm5HKkZhE9Jon0Ebo30mdqT6V1BQgB07dvR4+/bt25GXl9fLR1A0cv2X9TH+nIiIkpUUfd5bR8pqMiLf/2+l1sbl1h3qej4K8P2kviBDm+tNJo1yR2qAZ6SksAn/aF+4Z6Ske6RiVUg5/aN9ZpM2OlIWI++R6td1112Hn/zkJ/jss8/g8Xjg8Xjw6aef4t5778V1110XjzUmpVz/T0oYf05ERMlIFEUckzpSuT07UkDQeJ+GIsVrWx3Yf6oVAHD2qK4/YGYEuvpidkbKHzYhjfZJr9eyQqX2mWIcf+7vSJk005GSwiaSY7Qv4tS+3/72t6ioqMAFF1wAk8n34V6vFzfffDPPSMUQR/uIiCiZ1bQ60OnywmgQMDgntdfHFGWlYOfJZlS1aKcw+fqIrxs1tjizxzmc4qwUbDuujY7UsXo7jEYBg7N739tE1RirM1IpgTNSoijKo32hLvmNdUdKjj/XSEdKCptwRtiROtFox/bjzSjKSsG04TnxWFpcRFxIWSwWvPHGG/jtb3+Lbdu2ITU1FRMnTsTw4cPjsb6kJcWfN9pd8HrFHrGvREREieyoP2hicHZqnwfpi+W7pNQvTCRf+89HnTOq53EHLSQNerwinvnsEP7w8QGkWUx4/95zMbSPjl8iCsSfxya1r7XTjU6XV+4whbxHyhTrsAn/aJ9Gwiak0T53hIEqG8obsPif23FuWT5euWNmPJYWF1Ff6VxWVoaysrI+35+ZmYlt27Zh5MiR0X6JpCb9Afd4RTR3uEL+hIOIiCiR9Bc0IZEKEy2N9n0lnY8a3bOQKsn2FX6VKhVSNa2duO+NbfIaWx1u/OLtnfj77TMGdDmtngRfyDsQ8mhfh0suzsxGATaLsd+PC3SkYhR/7tHmaJ/HK8LjFWEMc112p28/Us3975/WxK181VoUqd5YTAZkWH11LiPQiYgo2QSCJvorpAIR6FpwvMGOYw12GA0CZpT23ZGqalK+g/bFwVos+OMX+OpQPWwWIx68eAysJgO+OFiHf206ofh61CKP9g04tc9/vEUEKv2/n1mplpAFaazPSGl1tA+ILHCiw19IhSpEtUYbu069yk3nOSkiIkpOFfVS0ETPxD5JkTTap5EzUtL5qMlDspBu7Tn0U6RC4ef2ePHkh/tw8982oK7NiTFFGXj3R7Pxw7mjsHjeaQCA3/xnD05pZA/jqdPlkTsf2QNM7Us1G+UukBSKkhMisQ+Ixxkp/4W8Bm28pA8eMYxkvE/uSFmiHpZThTZ2nXolHYRkBDoRESWbY2GM9pXIKXgdmpiEWXdIuj8qv9f3S6N9p1o64VHgUt7Kpg5c9/x6PPP5YYgicOPMYXjnnnMwuiAdAHDH7FJMHpKF1k43Hn57lyb2MJ6kbpTJIMhTP9ESBEEe75O+V0NFnwOBQir2F/JqY7QvuJByRfAc7S5fjDw7UhQzUtuZHSkiIgrXsXo7pj62Ck98uE/tpQyIFDbR2x1SkuBLeZtUvpRXFEWsO9z3+SgAKMhIgdEgwO0VUdfmiOt6Vu85hQV/+gKbKhqRYTXhf284A7+7ciJSgs6gmIwGPHn1ZJiNAj7eewrv7aiK65rUJkefp4UewQuHNN4nFVJZIS7jBYLCJmJ0z5JbY2ETRoMAaWtdXo72RS1ZDi3Gk9SR4l1SREQUrg93V6HR7sI/Nx7XbYehye5ES6fvJ9TD+kmUSzEbkef/t1Ltc1KHa9tQ0+qA1WTAGcN6j282GgQU+i/lrYzTOSlRFLH0/b34/t83ocnuwqQhWfjPT87FpZOKe3386UUZuOe80QCAJe/uRn2cCzw1ScX2QM9HSaTkvuMRdKSscQqb0EohBQTW4orgLim7XEhxtA8AwyZiQTojxdE+IiIK19ZjTQCA+nan/JNyvTnqPx9VmGlFaoifUBdnS+ek1I1Al7pR00fkdOn6dBfvc1JbjjXi+bVHAAB3zi7F//1gFob1Mx4JAAvnjsaYogw0tDux5L09cVmXFkgdqXAKnnBkpnbtSIVzRir28efaGu0DgiLQI+i62Z0c7evigw8+wODBg+P16ZNCnnwpb+L+dIiIiGJLKqQA34tqPZIT+/oJmpAUZUrnpNTtSH0V4nyUpNh/AW68CqkN5b7f84vGF+KXl40LK83NYjLgyasnwSAA722vxOo9p+KyNrXF6jJeSYbVVzidavG9TssOo9MVt7AJDXWkTP6iLpLUvkDYhL4Kqaj6ZydOnMC7776LY8eOwens2i156qmnAACzZ88e+OqSnHSXVIPKc99ERKQPVc0dXRLstlQ04cqpQ1RcUXTkxL4QnRQg+FJedS+5XX+kAQAwq5eLeIOVSB2pOI32bfUXz9OG9z5e2JdJQ7Lx/W+NxF/WHMHDb+/EjNJcZIW4XFZvYnWHlETqSEnC2a+4xZ9rqJCSRvuc7mhG+xK8kPrkk09wxRVXoLS0FPv378eECRNw9OhRiKKIM844Ix5rTFp56exIERFR+KRulCAAoqjnjlQEhVS2+ndJ7alsQXOHCxlWEyYOzur3sfJdUnFYryiK2Hq8CQAwtY9zWv2578LTsHr3KRypa8fv/rMHT149OcYrVJfUkQpnBC8c0hkpSY6qHSntjPaZ/bHwboZN9PTQQw/h/vvvx65du5CSkoI333wTx48fx5w5c3DNNdfEY41JKzfNdyC1gWekiIgoDFI34vzTCwAA+6pb5bMHkRJFEfes3II7V2xUJKo72LGG0Il9ksClvOqdkVp32DfWN3NkbsgRq3iu92RTB2pbHTAZhJAFXW9SzEY8cfUkCALwz00n8MXB2pivUU1yal+MwiYyuhVSkYRNxP6MlIY6UiYpbCLyM1Kp5gQPm9i7dy9uueUWAIDJZEJHRwfS09Px2GOP4Yknnoj5ApOZdEaqvt3J8A4iIgpJ6kgtmFiMoswUeLwith9vjupzHappw392VOHjvTU4UtsWw1WGdjSCjpR0RkrN0b6v/EETZ4c4HwXE94yU9Ps/riSz38CL/pw5Ihc3nzUcAPDzN3ei3RFdIa5FsT4jFc1oX6w7Um4Nj/ZFktondaTSrAnekUpLS4PD4Rs1KykpweHDh+X31dXVxW5lJM/wOtxedLhiE5NJRESJyen2YudJX9E0dVg2zhieDSD68T4pPAEA9lS1DHh94bI73aht9b3OCCdsoiRotE+NHzo63V5sLPedjzqnj/ujgklnpE61dEaUahYOqZCaOjR7QJ/ngYvHYHB2Kk42deBJnd9HFkwe7YtVIRVFR0oqeGIXf6690T6TIfKwifZkGe0766yz8NVXXwEALr30Utx///343e9+h9tvvx1nnXVWzBeYzNIsRvknF4xAJyKi/uyrboHD7UVWqhml+WnyXUZboy2k/F0WQNlCSjoflW0zIyuMF6aFmb7CpMPlQXOH8uFM2443ocPlQV6aBacVZIR8fH66FSaDAK8I1LTG9gy0VDRHcz4qWJrVhMf/ayIAYMXXFSj3X46sd3LYRMxG+7p2pML5vFZz7MImRFGUL73V0mifJYrRvg45tU9fo30Rr/app55CW5uvxb9kyRK0tbXhjTfewOjRo/GHP/wh5gtMZoIgIC/NgqrmTjS0OzG0n0sJiYgoucndiGHZEARBfjG99VgTRFGEIIT/E2u3x4v1R4IKqUrlC6nhYf6bl2I2IjfNgoZ2J6qaO8OKoA7XC18cwaf7apCZYkZWqhmZqSZkpUr/3/efFBV+1qg8GAyh99hgEFCYmYKTTR2oau5EiX/Ub6Acbo/8+zR1WPaAP9+5ZYNwblk+vjhYh/d3VsmX9uqZdEYqZhfyBo3ymY1CWN2UQEfKG/Gfy+48XhFSE1ZL90gFOlLhdYjdHi+c/qLLFuVIqloiLqRGjhwp/3+bzYZnnnkmpguirnKDCikiIqK+SJ2nqUN9BdSEwZmwGA3yxbzhBDdIdlW2oLUzcDZmr6IdqfCDJiTFWSloaHeiurkTY4szY7IOt8eLxz/YB3eYQRvnhHE+SlKSLRVSHQAG1j2S7K5sgdPjRW6aBcNi9IPXSycW44uDdfhgl/4LqU6XRz4mkZMW+9S+rFRLWEWR1RzoHLk8Iiym6Aug4EJFSx2pwBmp8DpS9qDjKwl/j9Tx48chCAKGDPHdS7FhwwasXLkS48aNw1133RXzBSa7XPlSXhZSRETUt0DsdTYA33014wdnYuuxJmw51hhRYSKdjzq3LB9fHapDXZsTNa2dKMhIifWye6hoCD9oQlKclYLdlS2ojGESXn27E26vCKNBwCOXj0NLhwstnW40211o7nChpdP3v80dLuTYLLh4QlEE600F0IiqGF4iLHUkz/B3JGNh/vgiPPzOLuw62YJj9XYMi+D3RGuk81Emg4B0a2zGx4LDJsI5HwV0DYVwuD1hXZjcF1dQvLiWzkhJhZQ7zI6UNNZnEAKphnoR8XfSDTfcgLvuugs33XQTqqurceGFF2LChAl49dVXUV1djV//+tfxWGfSYiFFRESh1Lc55JG4yUFBA2cMy/EVUhFezCvFeV84thCVTR04XNuOPZUtKDg9/oXUMTmxL/zCrygOl/JKn2tQuhU3nz0iZp8XCNx9FcvCb2uMzkcFy02zYGZpLtYdrscHu6pw95xRMfvcSpOjz9PC6xyFIzj+PNy7qYILhYGek3IFfbzZoJ0CRBozdIbbkZKDJkwx+71RSsS7vmvXLsyYMQMA8M9//hMTJ07EunXrsHLlSrz88suxXl/Syw2KQCciIurNNn83atSgtC4RzFLgRCTJfZ0uDzYd9T1+1qg8jCvx3UekVODEUXm0L5KOVOwjxatbfJ+rMCv2xWNxZuwLv1gl9nV3ycRiAMAHu6pj+nmVJgVNxOp8FABkWE2QXvdnpYb3eQVBkLtS4RYafZHGTk0GIazzeUqJtCMlRezrLbEPiKKQcrlcsFp9F8V+/PHHuOKKKwAAY8aMQVVVVWxXR/If+EYWUkRE1Idt8lhf126EFIEeycW8W441wuH2oiDDitEF6Rhb7Eui21vVGrP19sXp9qKyydeliXS0D4htYVIjFVIZ1ph9Tol0l1RljNZ7qqUTJ5s6IAjApBgXUheNL4Qg+L7HTjapd+nxQAWiz2NzPgrwBYdIY4LhjvYBQXdJuQZWSEkdLS2N9QGRn5GSzq4lRSE1fvx4PPfcc/jiiy+wevVqXHzxxQCAyspK5OWFvj+BIpObzo4UERH1LzixL1hxViqKsyK7mHfdIV9a36xReRAEAeP84Q17KqO72DcSJxrt8Iq+F1SD0sMvYKTRvliOykkdqaI4dKRKpA5ajAoT6ff/9MKMmJ3/kRRkpODM4bkAgA913JWSC6kYdqSAQOBEdhiX8Uqk8b6BdqSkQkVLQRNAYLQv7LAJnUafA1EUUk888QT+8pe/YO7cubj++usxefJkAMC7774rj/xR7OTJZ6Rie9cEERElBo9XDHSkhvY8HxPpeN9X/vNRs0b7UujGlfgKqfK6dvlQeLxIQRPDcm0RnZWQCpPqGF7KW93s+3dXuqcqlqTirLbNEZP7hLYel85HZQ/4c/Xmkom+II0Pd+l38ij4jFQsSXdJRfJ5Y9WRkkb7tFZImeSOVLhhE0k02jd37lzU1dWhrq4Of/vb3+S333XXXXjuuediujgCctN8P5Fj2AQREfXmcG0b2hxu2CxGnFaY3uP90ovrcC7mbe10YccJX+fpHH8hVZCRgvx0C7wisP9UfMf7AkETkaXDSYWJ3elBS2d4I4yh1LT6R/viUEjlpVlgMRogioGvMxCBjmTsgiaCSYmEmyoacaolduOTSmqyx/6MFBC4Syorqo7UwH4wIRXhWrpDCogi/tyZRKN9AGA0GpGT0/UP64gRI1BQUBCTRVFArn+Wl4UUERH1RiqQJg3Jkn8SHOyM4VJHqilkt+abIw3weEWMyLNhcNBFsWPl8b74Bk4cjeIOKcB3Ka+UmlYVo/E+6bxVURwKKYNBkIu/gQZkuDxe7DjRBMAXfR4PxVmpmDosG6IIfLRbn+N98epInT0yD1aTIaJuYKw7UiYNJfYBgcLOHelon84u4wWiLKT+7//+D9deey3OOussnHHGGV3+o9iSOlItne6wK3siIkoeoboR40t8F/M2tDvliPS+dB/rk0jjfXuq4ntOKtqOFAAUxTi5T07ty4x92AQQCMioHOA5qf3Vreh0eZGRYsLI/J4dyVhZMMGf3rdTn4VU4IxU7MImAOC+eadhx5L5GO9PtwyH1eQrGBwxOiM1kLuo4sEspxJGdo9UWozP9ykh4p3/05/+hNtuuw0FBQXYunUrZsyYgby8PBw5cgSXXHJJPNaY1LJTzZASLZncR0RE3YWKvbaajJgw2FcIhTonJQVNnDOqWyHl70jFO7lP7kjlRtaRAoCSGCb32Z1utPpHBOMRfw4ECqmBFn5SR3LK0Oy4RmBL433flNejrk1/57bj1ZECAoVRuGLVkQqETWhztC/cjlS7/4xUajKM9j3zzDN4/vnn8fTTT8NiseCBBx7A6tWr8ZOf/ATNzfFP9Ek2BoMgJ8wwuY+IiIK1drpwoMZX3EzpZ7QonMCJ2laHfAbq7FFdU3gDhVQLvN7YhDl05/GKON4QefS5RB6Vi0ES3qkWX6FgsxiREaefkksR6AMt/OJ9PkoyNNeGiYOz4BWBVbtPxfVrxUO8zkhFI3apfdoe7Qs7/lw6I5UMo33Hjh3DrFmzAACpqalobfX9pXvTTTfhH//4R2xXRwACPz1hR4qIiILtONEMUQSG5KSiIKPvzol8Tqqiqc/HrPOP9Y0tzpQvg5eU5qfBajLA7vTIyXqxVt3SCafHC7NRQEnQ+axwxarDA0AOVCjMTIkoPTASJTEa7dvqT2yM1/moYFJ63wc6TO+TO1IaKKSkjtRAExtdUtiEzkf7kipsoqioCPX1vtb/8OHDsX79egBAeXl5zCJHqSvpHzR2pIiIKJg01hWqGyF1pPZVt6Dd0XuqXWCsr+edkCajAacXSRfzxidwosI/1jckxwZjFCNqxVIEegxS5U7F+XwUEFjvQAq/hnYnyut8+zYlxhfx9uYS/zmprw/Xo8mun9cknS6PfOlrLC/kjZbFX2g43ANL7XN7/YVUHEc6o2GKNmwiGe6ROv/88/Hee+8BAO644w7cd999mDdvHr773e/iyiuvjPkCKfguKf38pUVERPEnjXWFehFdlJWCkqwUeEVguz/hrTspaOKcbkETknFxTu4bSNAEELvwBiC+iX2SWKT2bfPfHzVyUBqyFei0lOanYUxRBtxeEav36Ge8TwqaMBuFmF9YHA2rf4RtoB0pqeOjtXukLBHGn3e49HuPVMTfTQ8//DAGDx4MAPjBD36A3NxcfPnll7j88ssZNhEnOSykiIioG1EU5bGucKKXpw7LQeXOKmw91oRZ3cIkjjfYcaKxAyaDgBmlub1+fCC5Lz6F1L5q31GB4bnRFVLBhYkoigMayZPOSMXjDimJNL5Y1+aAw+2JOLAACA4aie/5qGALJhZjX3UrPthVjWumD1Xs6w5E8FhfvEY1IxHoSA0w/txfqJg0FjZh8nfIXGGepwx0pPRXSEVcwo4ePRpNTU3yr6+99lr86U9/wo033ogxY8bEcm3kx44UERF1d6zBjoZ2JyxGA8b7i5z+SMXWloqegRNfHfJ1o6YMze4zgnhsUOBErDXbXfi/zScAALPLBkX1OaRRObvTg9Y+xhfDFXxGKl5ybGY5dOBUc3QpeIGgiewYrSq0S/zpfV8crEVLp0uxrytpc7jhiTDwpLHdt04tnI8CAKs5RmekpPhzjXWkpDNbrjCfn93hjz9PhtG+vs5BtbW1ISUlfn/hJLNcFlJERNTNNn83alxJZljdDClwYuvxnhfzfnXYdz6q+/1Rwcb4z0hVNXfG/N+jFV8fRZvDjTFFGbhgTEFUnyPVYkS2/46ggSbhSeesiuIUfQ4AghAI1aiM4hJhj1eUvwfOiHNiX7CywgyMLkiHyyPi0701in1dANhd2Yxpv1mNR97dFdHHNUh3SGngfBQQuzNSLo2O9snx5+F2pJJhtG/x4sUAfH/wf/3rX8NmC7TePR4PvvnmG0yZMiXmC6TgsAn93dtARETxEWk3ovvFvCPyfXc1iaKIr6XzUb0ETUgyUswYlmvDsQY79la19HmWKlJtDjf+9lU5AOCe80YP6C6koswUNNldqGzqwGmFGVF/HiXCJgDfesvr2qMq/A7VtKHN4YbNYsRphfG7iLc3l0wowp8/PYT3d1bhO1MHK/Z1/7XpBBxuLz7fXxvRx0nBGN3TKNUS646U1kb7Io0/T4rRvq1bt2Lr1q0QRRE7d+6Uf71161bs27cPkydPxssvvxzHpSavXDn+XPkWOhERaVO4iX2Svi7m3X+qFXVtTqSajSE/17g4jPe9tr4CTXYXRuanYcHE4gF9rpIY3M0kiiJqFDgjBQDF2f6AjCg6UtLv/6QhWTAp3JGQ0vvWHKjtMwUy1kRRxEe7qwEAJ5s6IurmSB1UJQI5wmE1JvhoX4TPr0PH8edhd6Q+++wzAMBtt92GP/7xj8jMDD2PTbHB+HMiIgrW6fJgtz89b2oEsddnDMvBlmNN2HKsEVedMQQA8JU/9vzM0lz5fpu+jCvJxIe7q2OW3Nfp8uCvXxwBACw8b3RUsefBYpGE19DulC9K7e9urlgokSLQmyJfr1IX8fZmbHEGRuTZcLTejs/21+CySSVx/5o7TjTLv6+i6Et5LAuz6yjdw6mFy3iBwD1SAw2bkC/k1VhHSrogOOzRPh0XUhGXsC+99BKLKIXlpflGCxrtzrjdKE9ERPqxu7IZbq+I/HQrhuSEf3ltbxfzrvMHTczqZ6xPIgVOxCq57/UNx1DX5sSQnFR8e8rAX4wXZ0qFVPQR6FJiX16aJWRhOVBSRyqa9W71R59HUkjHiiAIuNjflfpgZ7UiX/PD3V2/jnR/Vjga7f6wCa2M9pliE38udaS0dkbKYopstK8jme6RIuVJhyM9XlGVhBwiItKW4PNRkcQ5d7+Y1+3x4pvyBgDAOaNCn3mSItAP1bQN+KC8w+3BX9b6ulE/nDsqJi8Gi7MHfsmtEol9kuIoO2gtnS4crGkDoE5HCgAWTPSl9326r0Z+IRwvoijiw12+QiojxfdiO7JCSjojpZGwiRh1pNwaD5uQOmb9cXm8cgc4LRk6UmpatmwZBEHAokWL5LeJooglS5agpKQEqampmDt3Lnbv3q3eIuPAajLKF8gxuY+IiKKNve5+Me/2E81oc7iRlWqWi6T+lGSlICvVDLdXxMFTbVGsPOCtLSdR1dyJwkwrrp42ZECfSyIVJgM5I6VEYp9EimyPtJDacbwZoggMzU3FoIz4BmL0ZeLgLAzOTkWHy4M1ByILf4jUwZo2lNe1w2I04Fr/3VWRFFKaOyMVs9E+qSOlzdG+cDpS9qAiPKHDJtS2ceNGPP/885g0aVKXtz/55JN46qmn8PTTT2Pjxo0oKirCvHnz0NraqtJK44MR6EREJJGDJqK4iHWqFIN+rEke6zt7ZF5Y55MEQcDYYt+5lIGM97k9Xjzz+SEAwN3fGhXVZbS9icUZKaUS+4DAGamGdic6XeF3dbYM4Pc/VgRBkO+U+mBXVVy/ltSNOrcsXw5MiagjpdkzUokZfy6N9rnDKKSkbqbRIGguNCMculhxW1sbbrzxRvz1r39FTk7gLw1RFLF8+XI8/PDDuOqqqzBhwgSsWLECdrsdK1euVHHFscfACSIiAnzdlsrmThgEX2JbpKTxvi0VjfhKij0fHfp8lGRcse9rDiS5793tlTje0IG8NAuunzEs6s/TndSRanO40RrlKLySo32ZqSb5gH0kxV8gsTE7HssK2yX+lMVP9tYMuCjoj5TWd9GEIpTm+6LeozkjpZn48xifkVI6tTGUQEcq9Gif3em/Q8psjGhMWSt0carrnnvuwaWXXooLL7wQv/3tb+W3l5eXo7q6GvPnz5ffZrVaMWfOHKxbtw533313r5/P4XDA4QjcydTS4vvHwOVyweXS5hmkHJvvt6qupSOsNUqP0erzSTTcb+Vwr5XF/VZOuHu9qdxX/JxWkA6LQYz492ZSie+F6KaKBnmsZsbw7LA/z+mFvnskd59sjur7wuMV8fSnvm7UbbOGwyR44XIN7AWlxCwAWakmNHe4cby+DWUFfd+v1Nd+Vzb5gh/y08yKfN8XZVpxpM6OE/VtGJIV+oW+KIryaOfEkgxV/2xOKEpDYaYVp1ocuPGv6/GrS8fIEfnBBvL3yPFGO3ZXtsAgAHNG58qd05pWB5raOpBm7f+lbIfTgw5/ty/NLGji7zIjfN/vnS7PgNbj8F9ka0TXvwfU/ntbEH3Pz+kO/fxa7L7X46kWoyZ+byThrkXzhdTrr7+OLVu2YOPGjT3eV13t+wlFYWFhl7cXFhaioqKiz8+5bNkyPProoz3evmrVqi4XDWtJe4MBgAFfb92J9JodYX/c6tWr47co6oH7rRzutbK438oJtdf/r8L370Gu2IL3338/4s/v9gImwYjmDt+LsCyLiL0b1mBfmD8M9jUCTNh5vAH/+c/7iPSHyFvrBRypM8JmFDGoaS/ef39vZJ8gBJtgRDMEvPvxFxibHfon4t33+9AJIwABx/bvxPsR/HsbLZPL9/v54RffoGFf6PXWdABNHSaYBBEV277CyfgvsV+XFAlY2WbApoomfOeZrzG7UMQlQ73oLdchmr9HPqsUABgxKsOL9Ws+BgCkmYxodwt47d1VGJLW/8c3OgDABKMgYu0nqyL+fo2HvU2+51TX0BTVn2HJ0WO+753DB/fjffu+Hu9X6+/tajsAmGDvdIR8fodbfI/1ujoHtBexZrfbw3qcpgup48eP495778WqVauQktJ3i717K1AUxX7bgw899BAWL14s/7qlpQVDhw7F/PnzNRvtvvOjA9hQexSDhozEgktOD/l4l8uF1atXY968eTCbtZFSk8i438rhXiuL+62ccPf6lRc2AGjC5edMxIIzBkf1tV6r2oAt/q7G+eNKcOmlE8P+WKfbi+W7P0GHB5hyznkYnB1+/Looinj2f78G0IY7vzUaV50/KsKVh/ZW/RZUHajDsNMnYkE/IRZ97fejOz4D4MJl58+Wz4PF01rHLhzYUomC4adjwdyRIR//zrZKYNsuTBqagysumxH39YWyAMDtzZ144sMD+M+uanxxSsCuVivun1eGq88YDKNBGNDfI3//q+/7/fpzx2HBWb4x0BUnfd+/g8ecIacH9mV3ZQuwZT3y0lNw6aVzonyWsZVX3oDn9m5CSlo6Fiw4J+rPs/qfO4DaakwYPw4LZg2X367239sV9XYs2/4lYDRhwYKL+n3sFwfrgN1bkJ+diQULzlZohaFJ02qhaLqQ2rx5M2pqajBt2jT5bR6PB2vXrsXTTz+N/fv3A/B1poqLA7eh19TU9OhSBbNarbBaex4iNZvNmn2hMMh/KWBThzuiNWr5OSUi7rdyuNfK4n4rp7+9dnm82OW/DPfM0ryof0+mDc+RC6lzygoi/HcFGF2Qgb1VLThQY8eIQeH/APLjPaew71Qb0q0m3H7uyLh8T5Vk+yZLatpcYX3+4P12uD1oaPeN9AzOTVPke36wvF5nWF9v+0nf7/8Zw3I082dyWL4Z//u9abjxcB0efXcP9p9qxS//3x68sekkHv32eEws9o1YRvr3SE1LJ7YcbwIAXDKpRP7Y0vx0bDnWhOONnSE/X5vT1+XLTbNoZr9sKb4RTqfHO6A1SQOxqRZTr59Hrb+3U/3Pz+0RQ359h/9oXbq19+eglnDXoq3Tad1ccMEF2LlzJ7Zt2yb/N336dNx4443Ytm0bRo4ciaKioi6tS6fTiTVr1mDWrFkqrjz2cpjaR0SU9PZXt6LT5UVGigkj8/s+/xPKGUF3D0USNCGJJrlPFEX8+TPf2aibzh4etyjqgUSg17b6zmtYjAbFggkivfsqEH2vXmJfX2aNysd/fjIbj1w+DhlWE3aebMZVz6zDz9/ehZYoXr6s2nMKoghMGZotR8UDwMhBvnm+cAInGuxS9Ll2XqRL8ecDDZtwun1FotbCJsyG8C/ktcuX8eov+hzQeEcqIyMDEyZM6PK2tLQ05OXlyW9ftGgRli5dirKyMpSVlWHp0qWw2Wy44YYb1Fhy3OSxkCIiSnrb/D+dnzI0G4Yw4sr7cvaoPBRkWHF6UUaXF6jhGlecibdwMqLkvi8O1mH78SakmA24Y3ZpxF8zXFIEemUUhZSU2FeQaVUsQUwq/KSQi/7YnW7sq/Zd76J2Yl9fTEYDbjunFJdNKsGTH+7DvzafwJtbKvG+0YiyqY04a3RB2J9LSuu7eELX8b0Reb5C6kgYhZQcfa6RxD4gdvdIub3SPVIaK6T86/GKvnCZ/q5WsPuDQGwspNTxwAMPoKOjAwsXLkRjYyNmzpyJVatWISMj/nPNSuI9UkREdLzRdwB6dD9pdOHItlmw7ufnR10sSJf3RtKRkpL6bpgxHPnp8bujSTqzdaIxvMPiwU61+DpSSkSfS0oi6EhtO94Ej1dEYaZVLsC0alCGFb+/ZjKunzkMv3pnJ3ZXtuKBt3Zh1X1zkGIO/aK52e7C14frAQAXje9aSJXm+wqpo/VhFFL+jlSORu6QAmIff665C3mD1uPyeGE09P373SHFn1v0WZJoq4QNw+eff47ly5fLvxYEAUuWLEFVVRU6OzuxZs2aHl2sRJCX5vtHh4UUEVHyqvW/0C/IGPiLaJPRENYlvL2RIq6PN3SgJYz7mr45Uo8NRxtgMRpw17dCByoMxKhBviKzot4e8QtVaRywSMFCSuqgNXe45Dt1euPxivjvj3xnw88Zla+bO3fOGJaDV247E1kWEccaOvDHTw6G9XGf7DsFt1fE6YUZcuEkGZHvO1fWZHfJHae+SO/XUiFliVFHyuXW5oW8wesJNd6n99E+be089SnHnyPa4fLIt0ATEVFyqWmVCqn4dXTCkW2zoMRfAOyrau33sa2dLjzy7m4AwDXTh8iFQ7wUZlqRYTXB4xXD6lgEU/IyXklmihnp/ruQ+utKrVh3FFuONSHdasJPLwqd3qslGSkmXFPqe0H9/Noj2FMZupP54a7AJbzd2SwmudgtD/F73OC/jDdHg6N9Hq8Ijzd05H1fXP7RPtMAxnzjIbiQcoe4lFd6TWsLo0upRSykdCLdaoLF/41Z3+4I8WgiIkpENa2BMzxqk8f7Kpv7fIzL48U9K7diX3Ur8tOt+PH5ZXFflyAIGF3o60odPNUW0ccGCill91ca06tq6r2Qqqhvx5Mf+e4JemjBGHkcUE8m5oq4eHwhPF4RP39rR78FhN3pxpoDtQCAi8f3Hm8udanKa/svpAJnpLQTNiF1pICBjffJo30mbb2cNxoESLVduB0pW4iLlbVKWztPfRIEgeekiIiSXKAjpf75mLHF/Z+TEkURv3pnF9YeqEWq2Yi/3To97t0oSZn/DNnBmv67Zd1V+wsppdYpkZL7Kpt7Bk6Iooifv7kTnS4vzh6Zh+vPHKbo2mLpV5eOQUaKCTtONOOlr8r7fNya/bVwuL0Ylmvr8y6vEfnhJfdp8YyUJahj43BHP2UkdXssGhvtAwJdKVeIjlu7fEaKHSmKMxZSRETJy+H2oMk/pqT2aB8QOCe1t4/Rvmc+P4zXNx6HQQD+fP1UTBqSrdjaygp8L74P1kTakVI+bAIAijP7jmz/x4bj+PpIPVLMBjz+XxMHlNaotoIMK36xYCwA4H9WHcDxht4DQT4MSuvr6yzYSKmQCjHap8UzUsHnEwfSkXJ6tDnaBwQVUiGenzzax0KK4o2FFBFR8gq+40gLd+JIHan9p1p7jO/8v20n8Xt/MMKSK8bjwnGFiq5NGu07FMFonyiKqpyRAoDibP9oX7eOVGVTB5a+vxcA8LOLxmB4XlqPj9Wb704fipmluehwefDwO7sgil07Fg63B5/urQHQM60vWLijfdI9UlqKPwcCXaSBBE5odbQPCCQJhh02wTNSFG8spIiIkpc01jcoQ7k7jvozLNeGNIsRTrcXR4JezK4/Uo+f/WsHAOD755bi5rNHKL42abTvSF0b3GFcCgoArQ63/KJOydQ+ACjx3+VVGXRGShRF/OLtnWhzuHHGsGzcOmuEomuKF4NBwLKrJsJiMmDtgVr8v22VXd6/7nA9Wh1uFGRYMXVodp+fZ0RQBHr3YkzS4fSg0+X7/ddS2AQAWM0DL6Sk0T6zQXsv56VLgl3hhk0w/pziTSqk6llIERElnZqWQCGlBQaDIHelpIt5D9W04e5XNsPp8WLBxCI8dMlYVdZWkpUKm8UIl0dERR/jY92d8o/VZaaYFI9i7q0j9fbWk/h8fy0sRgOevHpS1FH1WjRyUDp+cv5oAMBj/97T5QfEH/nT+uaPL+x3jHFYrg0GwdfRkH7I0J10PspsFJCmsdGxQEcq+jNSgY6U9r43LHIhFaIj5eIZKVKIVEiFujOBiIgST62U2KeRQgroGjhR2+rArS9tQHOHC2cMy8ZT105R7TyPwSDIlxaHm9yn1vkoICi1z1/M1bR24tH39gAA7r2wDKMLeg9c0LO7vjUKY4oy0NDuxG//7XuuHq+I1XtOAQAuHl/c78dbTAYMyfHdJ3Wkj/G+hqDzUVro4gaTOlIDS+3T5j1SQGC0z+0NM7WPhRTFGztSRETJS07s00D0uUSKQN9c0Yg7V2zEicYOjMiz4YVbzkSKymcepELqUJjJfWol9gFAsX+0r7XTjTaHG79+ZzeaO1wYX5IZ9wuM1WIxGbDsqokQBOCtrSex9kAtNh1tQH27E1mpZswcmRvyc5QGjff1plGj56OAGJ+R0vBon9Pd/2if3cHRPlJIHs9IERElLWm0TwvR5xIpuW9zRSO2n2hGjs2Ml2+boYkXrpEm90lBE2rsb5rVhMwU3wvJF78ox4e7q2EyCHjy6kma7DbEytRhObjFf4bu4Xd24u2tJwEAF44tDOt5l4aIQG+ULuPVUGKfxGLy/aBhIB0p+YyUBkf7pN+/0B0p32if0uO0sZK4fzoTEEf7iIiSV40GR/tOL8qQL960mAx44ZbpcgiA2soiHu2TOlLq7K90ye7yTw4AAH44dxTGl2SpshYl/fSi01GSlYLjDR14feNxAL7Y83CELKSk0T4NXcYrsZoGNtonimJQ/Ln2Xs6Hm9rX4eJoHymEo31ERMkrOLVPK1LMRkwbngNBAJZ/dwqmDQ89jqWUMn8E+uHaNnhCXAoKBO5wUjqxTyKNFIqirwj8kT+MIdGlW0347ZUT5F/bLEacW5Yf1seGKqQaNHiHlMRiGthonzvoe1rLF/L2N9rn8njlc156LaT0OZCYpKRCqrnDBZfHm9DtfiIi6ko+I6Wh0T4AePHWM9HU7sKwPJvaS+liSI4NVpMBDrcXJxrtIe9gkkf7VCqkpHNSBgF48upJsJr0+cIyGuePKcTlk0vw3vZKnDemIOzzdVIhdazeDo9X7JFs2KThM1JyR8oTXWqfOyhW3GTU3mifdElwf6N9UtAEwNE+UkC2zQIpdEY6QElERInP4xVR36a9sAkAyEwxa66IAgCjQcCoQeGP90mpfWp1pM4ckQMAWDh3NKYOy1FlDWpadtVEPHL5ODxy2biwP6YkOxUWowFOjxeVTR093t/gPyOVrcGOlFRIOVzRdaScQSNzWvzButRx62+0T7pDymgQNNlVC4c+V52kjAZBbk83trtUXg0RESmlvs0BrwgIQiB4iEKTxvtCBU54vCJq/YWqGql9AHDl1MHY8PAF+OlFp6vy9dWWbjXhtnNKI+oIGg0ChvuL+CO9jPdJZ6RyNXlGyh82EeaF0d25uxRS2utImcO4kLfdGbhDSmvx9OFiIaUzOTbfXwb17b1fPkdERIlHGuvLS7PKscIUmhw4ESICvb7NAY9XhEHFQlUQBM2NbeqBFG5ytJdCShdnpKLsSEkFiskgaLIIkUb7wulI6fV8FMBCSnfy0nwjHYxAJyJKHlpM7NMD6SLbUKN90h1SgzJYqOrNyH4CJ/RxRiraQsp/h5RGv1/N/ufn7qcjFbiMV7+RDdrcfepTLu+SIiJKOvIdUho7H6V10mjfoZo2ePtJ7lM7sY+iJ3Wkehvta7DroCMVZWqfVEhpMWgCAMxhdKTkO6RUvrx7IFhI6UxuOgspIqJkE0jsYyEVieG5NliMBnS4PDjZSxiB5JS0vyykdKe0j9G+DqcHnf6xuRwNdqSkcAWHO7rUPmm0T6shDXL8OUf7SEtybSykiIiSTWC0jy/0I2EyGjBykO+F9qF+AidOsSOlW9Jo34lGe5fLbaV0Y4vRgDQNvlC3mgd2Ia/WO1LSiGw4o316jT4HWEjpDi/lJSJKPhzti97oMAInpDNSaiX2UfQGZViRZjHCKwLHGuzy26UfOGfbzJoMY7AYfcXDQEf7tHpGymIMY7TP5Suk0nhGipSSly7Fn7OQIiJKFhzti15ZGIET8mW83F/dEQRBPicVHDjRqOGgCWDgHSm3Vx+jff3Fn9sdgfhzvdLm7lOfcjjaR0SUdGr9hdQgjvZFLJy7pE6xI6VrgUIq8Hus5ehzIPiMVJQdKbc+Rvv6D5vgaB8pjKN9RETJRRRFuZBixyRy0l1Sh2raIIq9/3RcSu0r5BkpXQpEoAdG+5rsLgB66EhFGTbh70hpfbTP3V/YhIthE6Sw4NG+vv5BICKixNFkd8nJV4NYSEVseF4aTAYBbQ63fBYqWIfTg5ZO34gRCyl9Ku2nI5VtM6uyplBi15HS5kt5k5za11/YhD/+nGekSClSi9rtFeW/+ImIKHFJ56OyUs1I0fF9K2qxmAzy6Fdv56Sk/U01G5GZot8XdMlshByBHuhIaf2MlHSP1EBT+ywaHe0zRzDax44UKSbFbJRjPHlOiogo8XGsb+DKCvo+JyV1qQozrZpMd6PQpNG+6pZOtPsDDBr9o31aPSNlNfley0VdSPlH+0wGbb6UN4cz2sdCitQQuJTXofJKiIgo3uQ7pBh9HrXAOameEehSR4pjffqVbbPII3xH633JfVK6sVY7UlZTbEb7zCZtvpQPJ7WvXS6k9NsJ1ubuU7/y033/mP7PqgM40WgP8WgiItKzQPQ5X+hHa3Rh3xHop/x3dDGxT99Ku433af2MlHWAo31ur/5H+zqcjD8nFfxwzihYTAasO1yPi/6wFq98fRReb3yCJ5xuL1asO4p91S1x+fxERNQ/+TJejvZFLXi0r3tQ06kWJvYlgu6BE3o5I+WIMrVPCnHQ6mifKZwLeRl/TmqYP74IH9x7LqYPz0G704Nf/b/duO6v63E06CK6WPn9R/vwyLu78eD/7Yj55yYiotCk0T4m9kWvND8NBgFo7nChtq3rWDxH+xJDaV7XCHSpkErUM1LS2SOtjvZJqYTufn7QL5+R0nGIjjZ3n0IaNSgd/7z7bDx6xXjYLEZsKG/AxX9cixe+OAJPjLpT64/U44UvywEAO082o7XTFZPPS0RE4ZNH+/hCP2opZiOG+19oH+o23ieP9nF/da10UKAj1eH0oNPlKzRyNN+RGlhqn9mgzdE+qSPVX6Fo5xkpUpPBIOCWWSPw0aJv4ZzReeh0efHb/+zFfz27rt8b3MPR2unC/f/cDmkCwisCmysaY7BqIiKKBFP7YmN0H8l9p4JS+0i/RsgdqXY0+LtRFqNBTjrWmoGekZJCHLR6IW948efSPVLa/D0KhzZ3nyIyNNeGV++YicevmogMqwnbjjfh2898jVUnhH5jJ/vzm3/vwcmmDgzJScXF44sAABuPNsRy2UREFIYa/wt9FlIDEzgnFUjuE0XgFEf7EoJ0RqrR7pKPOuSkmTUbaS93pKJ8nSZ3pEwafX7hjPa5fB2pNCsLKVKZIAi4bsYwrFr8LZw/pgAuj4j/HDdi0T939PvTgN6s2l2Nf246AUEA/ueayThvzCAAwMZydqSIiJTU7nDLEcEc7RuYskJ/IRU02tfuDvxkn/Hy+pZmNcldxS3+CRqtno8Cul7I2z0AJRzSazuth0301XFzur3ynz2bmaN9pBHFWal48ZbpePKqCTAKIj7aU4MfrdwSduu4rs2Bh97aCQD4/rkjMXNkHmaU5gEAtp1oQqcrunQZIiKKnHQ+ymYxIt2q3xcbWlBW4I9ADxrta/bfa5+bZpEP/5N+SeN9W45pv5CyBoVEOKPoSrn9RYhFo2ET5hAdKSloAuBoH2mMIAi4cmoJ7jzdC4vJgI92n8I9YRRToijiF2/tRH27E6cXZmDxvNMAACPybMhPt8Lp9mLHiWYlngIREYFjfbE0alA6BMF3v1C9P7mv2en7qTnH+hLDyEFSIdUEQLvR50DXAiiawAmn3JHS5mifOUT8ud3lOx9lMgiaLQbDod+VU0jjckQ8d8MUWE0GrN5zCj98dXO/9xW8ueUkVu05BbNRwFPfnYwUfxylIAiYUZoDgOekiIiUxMt4YyfVYsSQnFQAga6U1JEq4lhfQpA6Us0dvpThnDRtXsYLBM4QAdEFTshnpLQeNtHHc0uEO6QAFlIJ79yyfLx4y5mwmgz4ZF8N7n5lc6/jeSca7Vjy7m4AwKILT8P4kqwu7z9zRC4AYEM5CykiIqVIhdQgvtCPie7jfVIhxY5UYpACJyRaHu0TBGFAEehuObVPmx0p6eyWK8Ron42FFGnd7LJ8vHTrmUgxG/D5/lrc1a2Y8npF/PRf29HmcGPa8Bz8YM6oHp9DKqS2VDTG7J4qIiLqn3QZL0f7YkNK7jt0ypfcx9G+xCKN9km0XEgBA4tAd2q8I2UxhRjtS4A7pAAWUklj1uh8vHTrDKSajVh7oBbf//sm+acBf/uqHOuPNMBmMeJ/rpkMYy/ztmOLM5FhNaHV4cbeqhall09ElJRqWzjaF0vd75JqYkcqoQzNtSH4JYyWz0gBAyuk3Dq5R0paZ3ft/juk2JEi3Th7VB5W3D4DNosRXxyswx0rNmLHiSY8+dF+AMDDl47FiG5tcYnRIGDaCJ6TIiJSUg0v442pssKuo30tLt+r7qIs7m8isJqMGOw/BwcAORovpKRzUv2dX+9L4IyURkf7/M+tr0RCjvaRLs0ozcXfb5+BNIsR6w7X48pn1sHp9mLu6YNww4xh/X4sz0kRESlLHu3jGamYkDpSta0ONNld7EglIClwAgBybNoNmwAAqz/UK7qwCa13pHwFnjvEaF8qR/tIb6aPyMXf75iBdKsJHq+IbJsZT/7XpJC3f88o9RVSG482RHV5HBERRYapfbGVbjWhJMu3l/uqW9Hm4hmpRDMyP7iQ0ktHKvrUPpNWCyl/2IRXRK9n6zuk0T4zO1KkQ9OG5+K1O2di/rhCPHPjGSgI4x+RSUOyYDEZUNfmRHlduwKrJCJKXg63B012X4wzR/tiZ7R/vO/rI77pCrNRQK7GX3BT+IKT+zR/Rsoc/RkprY/2mYPuhuotcMLO0T7Su8lDs/H8zdMxa1R+WI+3moyYMiQbAM9JERHFW62/G2UxGpCt8RElPTnNP9731eF6AL4i1aDRS00pctJZb4vRoPkX6QM5I6X1sIngi4L7K6R4jxQllTP9F/NuKG9UeSVERIlNvkMqwxpy9JrCV1boK6R2nmwGwG5fopk4OAupZiPGlmRq/s+N1JGKZrRP6/Hnwety9ZLc1+G/hifNqu8zUvpePSluRmke/vezw9hwtF7tpRARJbSalkAhRbEz2n8pr3Rsg+ejEkteuhVrHzgP6Tp4gT6QM1Jur7ZH+4wGAUaDAI9X7DVwot3hOyOVyjNSlEzOGJYNgwAcb+hAdXOn2sshIkpYtbyMNy6k5D5JIRMRE86gDKsuRsYsA7hHyuXW9mgfEBjv6y0CnfHnlJQyUswYV5IJANjAc1JERHEjJ/bxhX5MZaWauxRPLFRJLVbTAOLPvdoe7QMCHbfeLuVl2AQlLek+qY28T4qIKG6k0T5Gn8demX+8D+BoH6lH6kgNLP5cm6N9QGBtvYZNuHiPFCWpGSMC90kREVF8SJfx8oxU7AWP9xWx40cqscZgtM+i4Y6U1C3rfbTPf48UO1KUbKb7C6n9p1rRZHeqvBoiosQUuIyXL/RjTUruA7i/pJ5ARyqK+HMdjPaZwxjt08NZtv5od/dJswZlWDFyUBpEEdh0lDHoRETxECikOHoWa11H+1hIkToGckZK+hgtj/aZ+xvt8xdSaRzto2TE8T4iovjxeEXUtzFsIl7GlWQiO9WMolQRNp2/kCP9GsgZKbdXP6N9vd0jZedoHyUzKXCCyX1ERLFX3+aAVwQEAchLs6i9nISTbjXh4/tm4/6JkY9UEcXKgM5I6SJsQiqk+u5IcbSPktKMUl8htfNEs3wXABERxYY01peXZpVfjFBsZaWaofPXcKRzciHVS6HRH1EU5S6Pls9IWfxFnnSeKxjvkaKkNiQnFUWZKXB7RWw9znNSRESxVMPLeIkSXrRhE9JYHwCYDdp9KS/9EMjp7jra53R75edgM+t7tFa7u0+aJggCziyV7pNiIUVEFEvyHVI8H0WUsKId7QselTObtDva11fYRPAkE0f7KGlJ430bjtarvBIiosRSy+hzooQXbdhEcHiDlkf75PjzbqN97f6gCbNRkPdAr/S9elKVlNy3paKp14OEREQUHUafEyU+Kf488kIq8HiTQcsdKX/YRLfRPjlowqzvbhTAQooGoKwgHVmpZnS4PNhd2aL2coiIEoZ8RoqjfUQJS4ouj7SQcstBEwIEQcuFlH+0z9v7aF8iXD3AQoqiZjAIOHNEDgBgYzlj0ImIYqWGo31ECc9qHtgZKZOGgyaAoPjzbs8vUe6QAlhI0QDxPikiotiTwiYGcbSPKGEFOlKRpfZJhZRZw3dIAYHnF5wyCAB2V2LcIQWwkKIBkpP7jjbA6+15czUREUVGFEWGTRAlAUvUqX3av0MKCJzf6n5PVqLcIQUA+h9OJFVNKMlCqtmIJrsLh2rbcFphRpf3e70idp5sxuf7a7H2YC1SzUbccW4p5p42SNNzvUREamnucMsvPAaxkCJKWFLYRLSjfVovpMymEGETCXBGSv/PgFRlMRkwdVg21h2ux4byBpxWmIEmuxNrD9bh8301WHOgFvXtzi4f8+WhOkwakoWfnF+GC8YWsKAiIgoidaOyUs1ISYBUKyLqXfTx5/5CSsN3SAHBo329n5FKY0eKyHdOat3hery6vgJvbz2JrccaETzll241YfbofMw9fRAO17bh1fXHsONEM+78+yaML8nETy4ow7yxhTBoOMKTiEgpNW0c6yNKBtFfyOsf7dN62EQfo32BjhQLKSL5Yt591a3y204vzMDcMYMw97QCTBue0+XCtbvnjMILX5Tj718fxe7KFtz9ymaMKcrATy4ow8Xji1hQEVFSk89HMfqcKKFZTdGFTbh1Ntrn9vQ+2sczUkQAZpbm4uppQ9Da6cKc0wow9/RBKMlO7fPx+elW/PySMbjrWyPxty/L8fK6o9hX3YqFr23BaYXpuH/+6bhofJGCz4CISDt4GS9RcpDOSHlFX3FkCrMwkjo8Jo2n9pn9Pxh39QibkOLP9V+G6P8ZkOpMRgP++5rJEX9cbpoFP73odNx5bin+9tVRvPRVOQ6casPdr2zGG3edhZkj8+KwWiIibWNiH1FyCJ7WcbjDL6TcOkntk9bXvZCSR/sS4Ayotn8HKClk2yxYPO80fPng+bjY34n6y9ojKq+KiEgdta2+gB4m9hEltuBCKpJzUnq5R0q+kLfbaF8ixZ+zkCLNyEo148FLxkAQgE/31eDgqdbQH0RElGDksIlMjvYRJTKjQegzkKE/Tr2ckTL2PtrXLo32WfU/GKfp34Fly5bhzDPPREZGBgoKCvCd73wH+/fv7/IYURSxZMkSlJSUIDU1FXPnzsXu3btVWjENVGl+Gi4a5+tKvfBFucqrISJSHkf7iJKHHIHuCr+Q0stonyVU2ARH++JrzZo1uOeee7B+/XqsXr0abrcb8+fPR3t7u/yYJ598Ek899RSefvppbNy4EUVFRZg3bx5aW9nN0Kvvf2skAODtrSdR09Kp8mqIiJTFQoooecgR6J7wk/t0M9pnkJ5b97AJjvYp4sMPP8Stt96K8ePHY/LkyXjppZdw7NgxbN68GYCvG7V8+XI8/PDDuOqqqzBhwgSsWLECdrsdK1euVHn1FK1pw3MwbXgOnB4vVnx9VO3lEBEpxuEB2v0vMjjaR5T4pK5NZwQdKZdXHx0pqdBz8x4pbWhubgYA5Ob67i0qLy9HdXU15s+fLz/GarVizpw5WLduHe6+++5eP4/D4YDD4ZB/3dLSAgBwuVxwuVzxWr6ipOeh1+dzx6zh2FzRiFfXV+D75wxHmsbnaPW+33rCvVYW91s5LpcLzb6cCdgsRlgNIvc9jvi9rRzudd8s/mLI7nCGvT+dTt/jDELve6qV/RbgK/gcbk+Xtdj9Z6QsBvXX2Jdw16XtV6dBRFHE4sWLMXv2bEyYMAEAUF1dDQAoLCzs8tjCwkJUVFT0+bmWLVuGRx99tMfbV61aBZvNFsNVq2/16tVqLyEqXhEYlGJEbYcbv3l1Nb5VLIb+IA3Q637rEfdaWdxvZbT4/+22Gdx4//331V1MkuD3tnK41z05O40ABKz98mtUZYX3WmfnSQGAETXVlXj//RN9Pk7t/d5V71vnqZr6Ln+fNbb4nvOWDV+jdo9qy+uX3W4P63G6KaR+9KMfYceOHfjyyy97vE8Qus6IiqLY423BHnroISxevFj+dUtLC4YOHYr58+cjMzMzdotWkcvlwurVqzFv3jyYzWa1lxOVlkHH8ch7e/FNUxp+e+vssO9XUEMi7LdecK+Vxf1WjsvlwpZ/fAwAGFGYgwULZqi8osTG723lcK/79pejX+NURyvOmH4mzi3LD+tjKtYcAY4dQumwoViwYHyP92tlvy17a/DygW3IzM7GggUz5bf/cuungMuNeefNwchBaaqtrz/StFoouiikfvzjH+Pdd9/F2rVrMWTIEPntRUW+dLfq6moUFxfLb6+pqenRpQpmtVphtfY8xGs2mxPuD7ien9N3ZwzHHz89jBNNnfjkQD0um1Si9pJC0vN+6w33Wlncb2VIHanCrFTut0L4va0c7nVPVn9ynVsUwt4bj+hrFljMxn4/Ru39TrH4vrbbC3kdoijKZ6Sy0lI0+/0Q7rq0+yN++Db7Rz/6Ed566y18+umnKC0t7fL+0tJSFBUVdWldOp1OrFmzBrNmzVJ6uRRjKWYjbj57OADgr2uPQBT1Md5HRBStFqfvBRIT+4iSg3RGKpJ7pNxevdwjJV3IG3huTo8XHn9YRiKETWj6d+Cee+7Bq6++ipUrVyIjIwPV1dWorq5GR0cHAN9I36JFi7B06VK8/fbb2LVrF2699VbYbDbccMMNKq+eYuGms4bDajJg+4lmbChvUHs5RERx1eIPmyjIYGIfUTKQOlJOdwSpfTq5R8rUy4W8UvQ5wPjzuHv22WfR3NyMuXPnori4WP7vjTfekB/zwAMPYNGiRVi4cCGmT5+OkydPYtWqVcjIyFBx5RQreelWXD3NN875/NojKq+GiCi+mv2jfexIESUHqSPliKiQ0sc9UlKh5/YGJoqksT6zUdB8IRgOTZ+RCmeUSxAELFmyBEuWLIn/gkgVd547Eis3HMMn+2pwqKYVowtYJBNRYpJH+zJZSBElA6vZP9oXRSElXXirVVKh5wp6bvIdUmb9d6MAjXekiACgND8N88f5wkNe+KJc5dUQEcVPi9yR4mgfUTKwyh0pT4hHBrjcvkaDdJmvVpnl81+Bxog02mezaLqXEzZt/w4Q+d31rZEAgLe2nERNa6fKqyEiij2H2wu7m2ETRMkkqo6UV2+jfYHn1u6/jNdmZUeKSDHThufijGHZcHq8+Pu6vi9bJiLSq7o2BwDfi6NsmzYjgYkotqI7I+Xr8OhxtC/QkWIhRaSou741CgDwyvoK2P0/0SAiShQ1rb5CalC6td9L5YkocUjjeZF0pNxS2IRORvtcvYRN2Mwc7SNS1LxxhRiRZ0Nzhwv/2nRC7eUQEcVUrVRIcayPKGlYTb7OTFSpfQZt/8Clt/hz6QfhiXCHFMBCinTEaBBwx7m+s1IvfHlE/okMEVEikAopno8iSh5SRyqa0T6tx4dLY4uiCPkS3g4XR/uIVHP1GUOQm2bB8YYO3PDXb3hJLxEljJpW3228gzIsKq+EiJRijWK0T44/13jYhCmo0JPWLMefs5AiUl6qxYhfXTYWFpMBG4424Nq/fI2b/7YBO080q700IqIBOVLXDsB3RoqIkkOgIxVB/Lm/KLFovCMVnCrolAophz+1j4UUkTqunDoEa342FzfMHAaTQcDaA7W4/Okv8YNXNuPAqVa1l0dEFLFTLZ34ZF8NAGDuaYNUXg0RKUU6IxVZR0ofo33moFRBt3/NUkcqjfdIEamnOCsVS6+ciE/un4Mrpw6GIAAf7q7GRcvX4r43tqGivl3tJRIRhe3V9RVweUSUZoiYMDhT7eUQkUKiOyOlj9E+g0GA0dA1cMLuSqzRvsQoBylpDc9Lwx++OwU/nDsKT606gA93V+PtrSfx3vZKXDl1MAoyrbA7PehwemCX/3PLb3N5vbhwbCF+OGcUctJ4LoGIlNfp8mDlN8cAAHOKGaJDlEyiOSMldXe0PtoH+Mb7PF5RLqQS7R4pFlKUEE4rzMBzN03DjhNN+O9VB7D2QC3+tTm8iPTna4/gH98cww/mjsJt54yALUHazUSkD+9ur0R9uxPFWSmYlNum9nKISEEDOSNl0kMhZTCgE155HDEQf54Yr7US41kQ+U0ako2/3z4DG8ob8O8dlTAIAlItRtjMRqRajEizmmCzGJFqNsJmMaG5w4WnPzuEvVUt+P1H+/HyuqP4yQVluO7MoZqfPSYi/RNFES99dRQA8L2ZQ2Fs3avugohIUfKFvBFc6eLy+u+R0vhoH+C/NNgRuEQ4cCEvO1JEmjWjNBczSnPDeuwlE4rw7vZK/M/q/Tje0IFfvbMLL35xBPfPPx2XTiyGQeMX3hGRfn1T3oC9VS1IMRtw7bQhWPc5CymiZBJV/LlbH2ETQKDYcyboaJ/2fweI4sxgEPCdqYPxyeK5ePSK8chPt+BovR0//sdWfPt/v8IXB2vVXiIRJai/fVkOALjqjCHItplVXg0RKc06gLAJPRRSJn9ynzTa1y4VUtbE6OVo/3eASCEWkwG3zBqBz392Hu678DSkWYzYebIZN724AT/+x9aIflpERBTK8QY7Vu89BQC4bdYIdRdDRKqILv5cP6N90uiiW+5I8R4pooSWbjXh3gvLsPaB83DbOSNgNgp4b3sl7n5lEzpd4R8GJSLqz4p1RyGKwLll+SgrzFB7OUSkgujiz/Uz2mcydB3tk85IpSbIGSnt/w4QqSQv3YpHLh+PF285EylmAz7bX4s7VmyUE2eIiKLV7nDjjU3HAQC3n1Oq8mqISC1RxZ979TPaJ61RimznGSmiJPOt0wZhxW0zkGYx4qtD9bj5xQ1o6XSpvSwi0rE3t5xAa6cbI/PTMOe0QWovh4hUEmn8uSiKckdK6xfyAoHxQ5fHC1EU5Qt5E+WqGRZSRGGYOTIPr945E5kpJmyqaMT3XvgGTXan2ssiIh3yegOR57fMGsFkUKIkJl2q6/KI8HrFkI93Bz1GTx0pl0eE0+OFx7/+VHakiJLL1GE5+MddZyE3zYIdJ5px3fPrUdfmUHtZRKQzaw7UoryuHRkpJlw9bYjayyEiFVmDzgqFc5eUK+gxFl0VUl7YHYGuG0f7iJLQ+JIsvHHXWRiUYcW+6lZ89y9fo7q5U+1lEZGO/O0rX+T5d6cPRVqCRAATUXSCi6FwAiekO6QAfYz2mYJG+6SxPovRoItuWjgS41kQKaisMAP/vPtslGSl4HBtO679y9c40dih9rKISAcOnmrFFwfrYBB8Y31ElNzMRgGCvx4KJ3DC5Q08xqSDsWBLUNiEFH2eKGN9AAspoqiU5qfhnz84G8NybTjWYMcNL25EDWspIgrhpXVHAQAXji3E0FybuoshItUJgiAXG+EETgTfISUI2i+kpI6U0+OVo88TZawPYCFFFLUhOTb88+6zMWpQGqqaO/Gn3Ubsq25Ve1lEpFFNdife2nICAHAbI8+JyC+SCHS3ju6QAoLjzwOFFDtSRAQAKMpKwRt3n40xRRlodQm44cWN2HS0Qe1lEZEGvb7xODpdXowtzsRZI3PVXg4RaYTF5CsswjkjJQVS6GGsD+ia2pdod0gBLKSIBiw/3YrXbp+O0gwRrZ1ufO/Fb/D5/hq1l0VEGuL2ePF3/1jfbeeM0MVIDhEpI5KOlDTaJ90/pXXm3kb7zIkTsqOP3wUijctMNWPhWA/mlOWj0+XFnSs24d3tlWovi4g0YtWeU6hs7kRemgVXTC5RezlEpCFyIRVG/Ll+R/tEtPvDJmxWdqSIqBuLEXjmhim4YnIJ3F4R976+Fa+ur1B7WUSkso1HG/DIu7sBADfMHIYUc+K8iCCigZO6Sw5XBKN9Oog+B7reI5WIo32J01sj0gCLyYDl352CrFQzXllfgV++swvNHS4snDtKU6M8nS4PPt57Cp/urUGqxYhhuTbff3m+/81IMau9RCLdE0URf/vqKJa9vxdur4jTCtNxO0MmiKibQEcqdGqf/jpS/nukvEFhEwk02pc4z4RIIwwGAY99ezyybWb8+dND+P1H+9HY7sQvFoyFYQCHQz1eES6PF26vCIMA2CyR/fH1eEV8c6Qeb289iQ92VaPN4e7zsTk2M4blpfkLrFRMG56D2aMH6WYmm0ht7Q43HnxzB/69owoAcMXkEjz+XxMj/nNLRIkvko6UHH9u0Me/xyapI+UO3CPFjhQR9UsQBNw//3Rk2yz4zb/34IUvy9HU4cLjV02EyWhAp8uDE412HG/swIkG3/8eb7DjRGMH6toccHm8cHlEuD1euPwFlCh2/RolWSkYU5yJscUZGFPk+98ReWnyX1qA7yfie6ta8c62k3h3WyWqWzrl9w3OTsVlk4thMRpQUW/HsQY7jjfYUd/uRKPdhUZ7E7Yfb5Ifn5Fiwrxxhbh0YjFml+XDakqcvwiJYulwbRt+8MpmHKxpg8kg4JeXjsUtsxgwQUS9k/49DeeMlFxImfTx94l8Rsrrhd3pexsLKSIKyx2zS5GdasYDb+7A/20+gU1HG9Du9KC21THgz13Z3InK5k58ui+QEGg1GXBaYQbGFmdgUIYVH++pwf5TgbutslLNWDCxGFdOHYzpw3N67ZC1drpwvKEDxxracazBjiO17fh0Xw1qWh14a8tJvLXlJDKsvqJqwcRinHsai6p4sTvdOFLbjsO1bThS244jde04XNOGTpcH915Yhm9PGTygzy+Koq5e3B+qacM7W09iU0UDZpbm4caZw1CQmaL2srr4YGcVfvZ/O9DmcKMgw4pnbjwD00cw6pyI+hZZR8r3U1WTTjpSZv/rDGmiBkise6RYSBHF2X9NG4LMVDPuWbkFR+vt8tvTrSYMyUnFkBwbhuamYmiODUNzbSjMtMJiMsBkMMBsFGA2GmAyCjAbDDCbDDAZBDjcXhw41Yp9VS3YU9WKfdUt2F/dCrvTg50nm7HzZLP8dSxGAy4YW4DvTB2MuacPCln0ZKSYMa7EjHElmfLbvF4Rm4814j87qvDBriqcanHgra0n8dZWX1F14bhCnDM6H4OzUzE4OxVFWSkcA4zCtuNNeHvLCRyubceR2jZUNnf2+dhFb2yDyyPi6mlDovpaaw/U4v5/bcdZI/Pwh2snd+lkaklNayfe216Fd7ae7PJ9vf5IA/73s0NYMLEYt8wagTOGZataFLo9Xvz+o/34y9ojAIAZpbl4+oapKMjQVqFHRNojnZFyRNCRsmj07+zuzHK0uwiPl2ETRBSFeeMK8fF9c7Cnqhkl2b6iKdtmjvqFX4rZiDNH5OLMoJ90e70ijjXYsbeqBXurWnCiqQMzRuTikonFyEodWHiEwSDIX+/Xl43rUVS9vfUk3t56Un68IAAFGVaUZKeixF9clWSloCAzBVmpZmSmmH3/m2pCRooZRp1cLBgvTXYnnvhwP17feKzHCGdumgUj89MwclAaRg1Kx8hB6fh0Xw3+seEYfvZ/2yGKIq6ZPjSir/fm5hN48M0dcHtFvLe9EpkpJvz2OxM0052yO91YtfsU3t56El8crIX/h5gwGQTMOW0Qzh6Vhw92VWNzRSPe3V6Jd7dXYuLgLNwyawQum1SsaCqe1yvieKMdD765A+uP+C7j/v65pXjg4jG6OQxOROoKdKRCh03oebQvkNqXOOVH4jwTIo0bludLxYsXg0HAiPw0jMhPwyUTi+P6dYKLqi3HGvHBrmrsr25FZVMHTjZ1wOH24lSLA6daHNh6rCnk50y3mpCZYkJmqhkl2am46azhmHv6IM28sI8XURTx5paTWPb+XtS3+4bHvz2lBOeMzseoQWkYmZ+OnDRLj4+7cGwBTAYBr6yvwANv7oAoAteeGbqYEkURz645jCc/3A8AOGtkLr4pb8Br3xzD0FwbfjBnVGyfYAger4i6NgcqmzpQ3dyJquZO7DjRhFV7TsnpTgAwdVg2rpw6GJdOLEZeuhUAcOe5I7HrZDNeXncU726vxM6Tzfjpv7Zj2ft7cd2MofjeWcNRnJUak3V6vSKqWzpxtK4dR+vtOFrfjqN17aiot6OioR2d/nEcm8WI3189GZdOit+fPyJKPFJ3KbwzUjob7TMGRvs6XOxIERHJDAYB00fkdjkDIooiGtqdqGzqxMmmDlRK/zV3oKbFgdZON5o7XGjpdMkvltscbrQ53Khs7sS+6lZ8uq8GEwdn4Ufnj8a8sYVRpR12ujywmgyaLcYOnGrFL9/ehQ1HfV2M0wrT8dvvTMSM0tDnaQTBlwxpEIAVX/uKKa8o4roZw/r8GI9XxGPv7caKr313m939rZF48OIxeGndUfzm33vw+Af7MDg7FZfH4bJYURSx7nA9Pt9fgyp/wVTd3IlTLZ3yzHx3w/Ns+M6UwfjO1MEozU/r9TETBmfhv6+ZjIcuGYPXNx7Hq+srUNXcif/97DCeW3ME54zOx0XjCzFvXGFEI3aiKOJwbRs+2n0Kq/ecwp6qFjjdfb/AMRoETB6ShSevnoTRBRlhfx0iIgCwmqXxt3Au5PV3pHTS8Q7cIyXK/+azkCIi6oMgCMhLtyIv3YqJQ7L6fazL40VLhwstnW7//7qw9kAtXl1/DDtPNuPuVzZjTFEG7jlvNBZMLO53BFBKKPx47yl8svcUtp9ohs1/R9aQHJsc5T4szyafR1PjYlS7040/fnIQL35RDrdXRKrZiEUXluH22aUR/cMoCAKWXDEegiDg5XVH8fO3dsIr+i587a7T5cF9b2zDB7uqIQjAry4dh9tn++4zumN2KY432PHyuqO4/5/bUZSV0mVkdKDWHa7DH1YfwMajjb2+3yAAhZkpKM5KQXFWKobkpmL+uKKIzjzlpVtxz3mjcfe3RmL1nlN4ed1RfFPegLUHarH2QC1++c4unDEsBxeNL8RF44swPK9nYeb1ith6vBGrdp/Cqj2nUF7X3uX9JoOAYbk2DM+zYXheGkbk2Xwd4Lw0DM5J1c2LGiLSHovR92+RI4xCSh7t08mFvKagsAn5HimO9hERDZzZaJCLLsm5ZYPww7mj8eKXR7BiXQX2Vbfix//YiuUfH8A9543GJeMGyY91uD1Yf6QBH+/xFU/dwxnsTg/2VbdiX3UrejMow4rMFBMsJiMsRgEWk8H3n9H/vyYjLEYDRhek46LxhRg5KD3q5yqKIlbtOYVH390tr3P+uEI8csV4DM6ObgRNEAQ8cvk4CALw0ldH8Yu3d0KEiBtnDpcf02x34ft/34QNRxtgMRrw1Hcn47JJXbtOv7psHCqbOrBqzyl8/++b8NYPZw3ouQLAN0fq8YePD8jnhiwmA66cMhhlhekozkpFcbaveBqUbo1Z0IXJaMAlE4txycRiHK5tw4e7qrFqdzW2n2jG5opGbK5oxNL392FMUQbmjy/C/HGFqG11YNWeaqzeU4O6tkCapsVowDmj8zB/fBHOHpmHITmpmg3kICJ9i6Qj5dLZhbzS+S+3h/dIEREpIjfNgp9dNAZ3nTsKL60rx9++LMfh2nYs/ud2LM9NxcQ0Af/5xzZ8dage7UFnaVLMBswePQgXji3At04bhE6XR74f63hjB44F3ZfV6nCjttURdhT9Ex/uQ1lBOi4aX4SLJxRhfElmyI5JY7sTG442YEN5A74+XI89VS0AgCE5qXj0ivG4YGxh9JvkJwgCfn3ZOBgEAS9+WY6H394FrwjcdNZwVDZ14Ja/bcDBmjZkWE34y83TMGtUfo/PYTQI+ON1U3Hd819j+4lm3PrSRry9cFaXAjdcm4424A8fH8BXh+oB+AqS62YMxcK5o1GUpVyC3ahB6bjnvNG457zRqGzqwOo9p/DR7mp8U94gF9d/+uRgl4/JSDHh/DEFmD+uCHNOH4R0K/+JJKL4k85IOdwRhE3opJAyB53/kjtSKkyDxAv/lSAizcqymbHowtNwx+xSvLK+Ai98UY5jDR041mAE4Ls/qyDDigvGFuLCsQU4Z3R+j3G93joroiiiye7CicYOtDvdcLq9vv88Xrg8XjikX7t9h2O/KW/A14frcLCmDQdrDuHpzw5hcHYq5o8vxMXjizB9RC6MBgE1LZ34ptxXOG0ob+hyhxfgG8X4/rkj8ePzy2J6j4Yg+C59NRoEPL/2CH71zi5UNXXgrS0nUd3SicJMK16+bQbGFmf2+TlSLUa8cMuZuOrZr3CswY47/74J//j+WQh3lVuONeIPqw/gi4N1AHzP9drpQ3HPeaNREmXHLVZKslNxy6wRuGXWCDS2O/HJvhp8tLsaaw/UIsdmwXz/OaqZpXmM7ScixUXWkdL/aF9aAv2QKnGeCRElrIwUMxbOHY1bZ43AK+vK8f/W78P5U0Zj/oRiTCjJijiMQhAE5KRZek3E68095wHNHS585n8B/vn+Wpxs6sBLXx3FS18dRV6aBZmp5h7nagCgrCAdM0pzMXNkHs4amRu3e4UEQcBDl4yBIAB/WXMEz3x+GAAwuiAdK26fEdb44KAMK166dQb+69l12HqsCYte34bl107s9bEOtwdbjzVh3eF6fHWoDpsrfGegjAYB10wbgnvOG42hufFLqYxWTpoFV08bgqunDYHoz5rXaiAJESWHQEcq8Ub7pHukfIUUR/uIiFRjs5hw+zkjUNS8BwsuGA2zeWD3Y0UiK9WM70z1pch1OD344mAtPtxdjU/21qC+3Yn6dicEARhblImZI3Mxs9QXER/NeFy0BEHAzy8eA6Mg4JnPD2P68By8cMt0ZNvCKxgBX+H1/E3TcNOLG/Dh7mo88ZEVU+D7R3BHZSPWH6nHusN12HS0scs/+kaDgKumDsaPzy+La8x/LLGAIiItsPonKSLpSJl00pEy+2Pa7Q6PfCdgLCcy1MZCiogoQqkWoy+sYHwRXB4vNh5tgMPtxRnDcgZ8+fFACYKABy4egxvPGo7izJSoouNnjszD76+ZhHtf34aX1lWgNMOIX2z+rMt5NADIT7di1qg8nD0qD986bVDUoRlERMnMaowg/txfjVj00pHyF3zNHS75bTaekSIiIsA3XtFbgIPaBlrUfHvKYJxo7MDvP9qP8lYBgAdZqWacPTIPs0bnYdaoPIwalM6uDhHRAElnM8MZ7ZOKLb10pKS0U6mQshgNCZWAykKKiIh6tXDuKOSkGrFh607cduk5mDgkN6oOFxER9c1qiqQjpa/UPqlzJnXSEmmsD2AhRUREfRAEX3BE2qkdGFecySKKiCgOAh2pMOLP3XoLm+j670YiBU0AgD5+F4iIiIiIEpDV5Csuwkvt01v8eddSg4UUERERERHFhCWC0T6XV18dqe6hGDZLYg3D6eN3gYiIiIgoAVkjCJtwyWET+ngJ3z0UI9HOSOnjd4GIiIiIKAFFktonhU1YdDLa171zxtE+IiIiIiKKicBoX+iwCafHN9rX/eyRVnU/y8VCioiIiIiIYkKOP/eE0ZGSwiZM+ngJ370jlWrmGSkiIiIiIoqB4NE+URT7fayU2qfX0b40KztSREREREQUA1L8uSgGLq7ti95H+xg2QUREREREMWENGtMLFTiht9E+QRBgCrrM3cbRPiIiIiIiioXgu5ZC3SUlX8hr0MdoH9A1Ap1hE0REREREFBMGgyCPwDlCJPe5/aN9eulIAV3PSXG0j4iIiIiIYkbqSoXqSEnJft1DHLQsuOPGjhQREREREcWM1ewrMMId7TNxtE8TWEgREREREalI6tqEDpvwjfZZdDraZ7MwbIKIiIiIiGLEag6vkHLqsCNl5mgfERERERHFQ6AjFWbYhI7OSAXfJcWwCSIiIiIiihmpIxV2/LmOCqngy4M52kdERERERDETzhkpURTh9kodKR2N9pk42kdERERERHFgNYVO7XP5x/oAfd0jZeFoHxERERERxYOUwtdfR0oa6wMAs0E/L+G7jPaZWUgREREREVGMSIVUfx0pd3BHSoejfRaTASYdne0KR2I9GyIiIiIinbHKhVTfqX3OoI6UUU/x5/61Jtr5KICFFBERERGRqsIZ7XN7fe+zGA0QBB0VUv4uVKKN9QEspIiIiIiIVBVW2ITbN9pn0tFYHxBYb6IFTQAspIiIiIiIVGUNJ2zCq787pIBAtHui3SEFsJAiIiIiIlKVfEbKEzq1T2+FlLRedqQ07JlnnkFpaSlSUlIwbdo0fPHFF2oviYiIiIgoJPmMlKvvsAlptE9PiX1AYLQvjYWUNr3xxhtYtGgRHn74YWzduhXnnnsuLrnkEhw7dkztpRERERER9Usaf+u3I6XT0T5zAo/2JcQzeuqpp3DHHXfgzjvvBAAsX74cH330EZ599lksW7ZM5dUREREREfXNavYVG+V17fhwV1Wvjzl4qg2A/sImzAkcNqH7QsrpdGLz5s34+c9/3uXt8+fPx7p163r9GIfDAYfDIf+6paUFAOByueByueK3WAVJzyNRno/Wcb+Vw71WFvdbOdxrZXG/lcO9Ds3iLzbWH2nA+iMN/T7WajT0u5da22/5Hilz/+vWknDXKYiiKIZ+mHZVVlZi8ODB+OqrrzBr1iz57UuXLsWKFSuwf//+Hh+zZMkSPProoz3evnLlSthstriul4iIiIgoWLMT+NcRA9rc/XebDADOLfJiar5+Xr6f6gDeP27A/MFeDE5TezXhsdvtuOGGG9Dc3IzMzMw+H6f7jpSk+8Vkoij2eVnZQw89hMWLF8u/bmlpwdChQzF//vx+N0tPXC4XVq9ejXnz5sFsNqu9nITH/VYO91pZ3G/lcK+Vxf1WDvc6PNfH6PNocb9vU3sBEZKm1ULRfSGVn58Po9GI6urqLm+vqalBYWFhrx9jtVphtVp7vN1sNmvmGy5WEvE5aRn3Wznca2Vxv5XDvVYW91s53Gtlcb+jF+6+6Sv2oxcWiwXTpk3D6tWru7x99erVXUb9iIiIiIiIYkX3HSkAWLx4MW666SZMnz4dZ599Np5//nkcO3YMP/jBD9ReGhERERERJaCEKKS++93vor6+Ho899hiqqqowYcIEvP/++xg+fLjaSyMiIiIiogSUEIUUACxcuBALFy5UexlERERERJQEdH9GioiIiIiISGkspIiIiIiIiCLEQoqIiIiIiChCLKSIiIiIiIgixEKKiIiIiIgoQiykiIiIiIiIIsRCioiIiIiIKEIspIiIiIiIiCLEQoqIiIiIiChCLKSIiIiIiIgixEKKiIiIiIgoQiykiIiIiIiIIsRCioiIiIiIKEImtRegBaIoAgBaWlpUXknsuFwu2O12tLS0wGw2q72chMf9Vg73Wlncb+Vwr5XF/VYO91pZ3O+Bk2oCqUboCwspAK2trQCAoUOHqrwSIiIiIiLSgtbWVmRlZfX5fkEMVWolAa/Xi8rKSmRkZEAQBLWXExMtLS0YOnQojh8/jszMTLWXk/C438rhXiuL+60c7rWyuN/K4V4ri/s9cKIoorW1FSUlJTAY+j4JxY4UAIPBgCFDhqi9jLjIzMzkHyIFcb+Vw71WFvdbOdxrZXG/lcO9Vhb3e2D660RJGDZBREREREQUIRZSREREREREEWIhlaCsViseeeQRWK1WtZeSFLjfyuFeK4v7rRzutbK438rhXiuL+60chk0QERERERFFiB0pIiIiIiKiCLGQIiIiIiIiihALKSIiIiIiogixkCIiIiIiIooQCymdW7ZsGc4880xkZGSgoKAA3/nOd7B///4ujxFFEUuWLEFJSQlSU1Mxd+5c7N69W6UV69ezzz6LSZMmyRfcnX322fjggw/k93Of42fZsmUQBAGLFi2S38b9jp0lS5ZAEIQu/xUVFcnv517H3smTJ/G9730PeXl5sNlsmDJlCjZv3iy/n3seGyNGjOjxvS0IAu655x4A3OdYc7vd+OUvf4nS0lKkpqZi5MiReOyxx+D1euXHcM9jp7W1FYsWLcLw4cORmpqKWbNmYePGjfL7udcKEEnXLrroIvGll14Sd+3aJW7btk289NJLxWHDholtbW3yYx5//HExIyNDfPPNN8WdO3eK3/3ud8Xi4mKxpaVFxZXrz7vvviv+5z//Effv3y/u379f/MUvfiGazWZx165doihyn+Nlw4YN4ogRI8RJkyaJ9957r/x27nfsPPLII+L48ePFqqoq+b+amhr5/dzr2GpoaBCHDx8u3nrrreI333wjlpeXix9//LF46NAh+THc89ioqanp8n29evVqEYD42WefiaLIfY613/72t2JeXp7473//WywvLxf/9a9/ienp6eLy5cvlx3DPY+faa68Vx40bJ65Zs0Y8ePCg+Mgjj4iZmZniiRMnRFHkXiuBhVSCqampEQGIa9asEUVRFL1er1hUVCQ+/vjj8mM6OzvFrKws8bnnnlNrmQkjJydHfOGFF7jPcdLa2iqWlZWJq1evFufMmSMXUtzv2HrkkUfEyZMn9/o+7nXsPfjgg+Ls2bP7fD/3PH7uvfdecdSoUaLX6+U+x8Gll14q3n777V3edtVVV4nf+973RFHk93Ys2e120Wg0iv/+97+7vH3y5Mniww8/zL1WCEf7EkxzczMAIDc3FwBQXl6O6upqzJ8/X36M1WrFnDlzsG7dOlXWmAg8Hg9ef/11tLe34+yzz+Y+x8k999yDSy+9FBdeeGGXt3O/Y+/gwYMoKSlBaWkprrvuOhw5cgQA9zoe3n33XUyfPh3XXHMNCgoKMHXqVPz1r3+V3889jw+n04lXX30Vt99+OwRB4D7HwezZs/HJJ5/gwIEDAIDt27fjyy+/xIIFCwDwezuW3G43PB4PUlJSurw9NTUVX375JfdaISykEogoili8eDFmz56NCRMmAACqq6sBAIWFhV0eW1hYKL+Pwrdz506kp6fDarXiBz/4Ad5++22MGzeO+xwHr7/+OrZs2YJly5b1eB/3O7ZmzpyJv//97/joo4/w17/+FdXV1Zg1axbq6+u513Fw5MgRPPvssygrK8NHH32EH/zgB/jJT36Cv//97wD4/R0v77zzDpqamnDrrbcC4D7Hw4MPPojrr78eY8aMgdlsxtSpU7Fo0SJcf/31ALjnsZSRkYGzzz4bv/nNb1BZWQmPx4NXX30V33zzDaqqqrjXCjGpvQCKnR/96EfYsWMHvvzyyx7vEwShy69FUezxNgrt9NNPx7Zt29DU1IQ333wTt9xyC9asWSO/n/scG8ePH8e9996LVatW9fhpWzDud2xccskl8v+fOHEizj77bIwaNQorVqzAWWedBYB7HUterxfTp0/H0qVLAQBTp07F7t278eyzz+Lmm2+WH8c9j60XX3wRl1xyCUpKSrq8nfscO2+88QZeffVVrFy5EuPHj8e2bduwaNEilJSU4JZbbpEfxz2PjVdeeQW33347Bg8eDKPRiDPOOAM33HADtmzZIj+Gex1f7EgliB//+Md499138dlnn2HIkCHy26Xkre4/faipqenxUwoKzWKxYPTo0Zg+fTqWLVuGyZMn449//CP3OcY2b96MmpoaTJs2DSaTCSaTCWvWrMGf/vQnmEwmeU+53/GRlpaGiRMn4uDBg/zejoPi4mKMGzeuy9vGjh2LY8eOAeDf2/FQUVGBjz/+GHfeeaf8Nu5z7P3sZz/Dz3/+c1x33XWYOHEibrrpJtx3333yZAH3PLZGjRqFNWvWoK2tDcePH8eGDRvgcrlQWlrKvVYICymdE0URP/rRj/DWW2/h008/RWlpaZf3S3+YVq9eLb/N6XRizZo1mDVrltLLTTiiKMLhcHCfY+yCCy7Azp07sW3bNvm/6dOn48Ybb8S2bdswcuRI7nccORwO7N27F8XFxfzejoNzzjmnxzUVBw4cwPDhwwHw7+14eOmll1BQUIBLL71Ufhv3OfbsdjsMhq4vLY1Goxx/zj2Pj7S0NBQXF6OxsREfffQRvv3tb3OvlaJSyAXFyA9/+EMxKytL/Pzzz7tEvNrtdvkxjz/+uJiVlSW+9dZb4s6dO8Xrr7+e8ZdReOihh8S1a9eK5eXl4o4dO8Rf/OIXosFgEFetWiWKIvc53oJT+0SR+x1L999/v/j555+LR44cEdevXy9edtllYkZGhnj06FFRFLnXsbZhwwbRZDKJv/vd78SDBw+Kr732mmiz2cRXX31Vfgz3PHY8Ho84bNgw8cEHH+zxPu5zbN1yyy3i4MGD5fjzt956S8zPzxcfeOAB+THc89j58MMPxQ8++EA8cuSIuGrVKnHy5MnijBkzRKfTKYoi91oJLKR0DkCv/7300kvyY7xer/jII4+IRUVFotVqFb/1rW+JO3fuVG/ROnX77beLw4cPFy0Wizho0CDxggsukIsoUeQ+x1v3Qor7HTvS3SJms1ksKSkRr7rqKnH37t3y+7nXsffee++JEyZMEK1WqzhmzBjx+eef7/J+7nnsfPTRRyIAcf/+/T3ex32OrZaWFvHee+8Vhw0bJqakpIgjR44UH374YdHhcMiP4Z7HzhtvvCGOHDlStFgsYlFRkXjPPfeITU1N8vu51/EniKIoqtgQIyIiIiIi0h2ekSIiIiIiIooQCykiIiIiIqIIsZAiIiIiIiKKEAspIiIiIiKiCLGQIiIiIiIiihALKSIiIiIiogixkCIiIiIiIooQCykiIiIiIqIIsZAiIiIiIiKKEAspIiIiIiKiCLGQIiKihPbhhx9i9uzZyM7ORl5eHi677DIcPnxYfv+6deswZcoUpKSkYPr06XjnnXcgCAK2bdsmP2bPnj1YsGAB0tPTUVhYiJtuugl1dXUqPBsiItIKFlJERJTQ2tvbsXjxYmzcuBGffPIJDAYDrrzySni9XrS2tuLyyy/HxIkTsWXLFvzmN7/Bgw8+2OXjq6qqMGfOHEyZMgWbNm3Chx9+iFOnTuHaa69V6RkREZEWCKIoimovgoiISCm1tbUoKCjAzp078eWXX+KXv/wlTpw4gZSUFADACy+8gO9///vYunUrpkyZgl//+tf45ptv8NFHH8mf48SJExg6dCj279+P0047Ta2nQkREKmJHioiIEtrhw4dxww03YOTIkcjMzERpaSkA4NixY9i/fz8mTZokF1EAMGPGjC4fv3nzZnz22WdIT0+X/xszZoz8uYmIKDmZ1F4AERFRPF1++eUYOnQo/vrXv6KkpARerxcTJkyA0+mEKIoQBKHL47sPani9Xlx++eV44oknenzu4uLiuK6diIi0i4UUERElrPr6euzduxd/+ctfcO655wIAvvzyS/n9Y8aMwWuvvQaHwwGr1QoA2LRpU5fPccYZZ+DNN9/EiBEjYDLxn00iIvLhaB8RESWsnJwc5OXl4fnnn8ehQ4fw6aefYvHixfL7b7jhBni9Xtx1113Yu3cvPvroI/z3f/83AMidqnvuuQcNDQ24/vrrsWHDBhw5cgSrVq3C7bffDo/Ho8rzIiIi9bGQIiKihGUwGPD6669j8+bNmDBhAu677z78/ve/l9+f+f/buUNbhaEojsP/4DCgoa4awRadAHwnQFY0qesiJEzADHi6RS0DkDz38tRLroKk3zfBcTe/5Jy72eR+v+f5fOZ4PKbv+wzDkCS/d1P7/T6PxyPv9ztN0+RwOORyuWS73Wa18owCLJVf+wDgj9vtlrZt83q9sl6vPz0OAF/KsjcAi3a9XlPXdaqqyjRN6bou5/NZRAHwLyEFwKLN85xhGDLPc3a7XU6nU8Zx/PRYAHw5q30AAACFXMkCAAAUElIAAACFhBQAAEAhIQUAAFBISAEAABQSUgAAAIWEFAAAQCEhBQAAUEhIAQAAFPoBtnpgCOjIod4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Y graficar las tasas de conversión para la variable edad\n",
    "graficar_tasas_conversion('age','y_bin')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FUoKyWViUbMY"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- En este caso SÍ se observan diferencias en las tasas de conversión por edad\n",
    "- Podríamos establecer tres rangos aproximados: 18-25 años, 26-59 años y 60 años en adelante"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 389
    },
    "executionInfo": {
     "elapsed": 451,
     "status": "ok",
     "timestamp": 1671482730859,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "JKZ6P8AmUpf6",
    "outputId": "b68bc1a1-15d6-4cf0-d7fa-b40f0c1d16d9"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creemos subbrupos de edades y calculemos las tasas de conversión en cada caso\n",
    "\n",
    "# Nueva columna en el dataset: \"grupos_edad\"\n",
    "data.loc[:,'grupos_edad'] = \"18-25\"\n",
    "data.loc[data['age']>60,'grupos_edad'] = \">60\"\n",
    "data.loc[(data['age']>25)&(data['age']<=60), 'grupos_edad'] = \"26-60\"\n",
    "\n",
    "# Y grafiquemos la tasa de conversión para esta nueva columna\n",
    "graficar_tasas_conversion('grupos_edad','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yp-BKkxiXB96"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Tenemos 3 rangos de edad bastante diferenciados y para los cuales se alcanzan diferentes tasas de conversión: 18-25 años (24%), 26-60 años (11%), más de 60 años (43%)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "executionInfo": {
     "elapsed": 178,
     "status": "ok",
     "timestamp": 1671482831875,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "CCoN6lfadobW"
   },
   "outputs": [],
   "source": [
    "# Y eliminemos la columna \"age\" (dejando sólo los grupos de edad)\n",
    "data.drop(columns=['age'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 259,
     "status": "ok",
     "timestamp": 1671482834131,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "PbK1SC1EXRUE",
    "outputId": "0eb041dd-3e27-4126-e306-fd6164ed1c66"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Realicemos el mismo análisis pero para la variable 'balance'\n",
    "graficar_tasas_conversion('balance','y_bin',type='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 389
    },
    "executionInfo": {
     "elapsed": 461,
     "status": "ok",
     "timestamp": 1671482947014,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "ARityZtbZq3E",
    "outputId": "259a39ad-fcf0-4ed1-8b38-308d485b3732"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# No resulta fácil ver un patrón. Al igual que con la edad generemos\n",
    "# diferentes rangos:\n",
    "# <0\n",
    "# 0-4000\n",
    "# 4000-8000\n",
    "# 8000-12000\n",
    "# 12000-16000\n",
    "# 16000-20000\n",
    "# >20000\n",
    "\n",
    "# Nueva columna en el dataset: \"grupos_balance\"\n",
    "data.loc[:,'grupos_balance'] = \"<0\"\n",
    "data.loc[(data['balance']>=0) & (data['balance']<4000),'grupos_balance'] = \"0-4K\"\n",
    "data.loc[(data['balance']>=4000) & (data['balance']<8000),'grupos_balance'] = \"4K-8K\"\n",
    "data.loc[(data['balance']>=8000) & (data['balance']<12000),'grupos_balance'] = \"8K-12K\"\n",
    "data.loc[(data['balance']>=12000) & (data['balance']<16000),'grupos_balance'] = \"12K-16K\"\n",
    "data.loc[(data['balance']>=16000) & (data['balance']<20000),'grupos_balance'] = \"16K-20K\"\n",
    "data.loc[data['balance']>=20000,'grupos_balance'] = \">20K\"\n",
    "\n",
    "# Y grafiquemos la tasa de conversión para esta nueva columna\n",
    "#graficar_tasas_conversion('grupos_balance','y_bin',type='bar')\n",
    "orden = ['<0', '0-4K', '4K-8K', '8K-12K', '12K-16K', '16K-20K', '>20K']\n",
    "graficar_tasas_conversion('grupos_balance','y_bin',type='bar', order=orden)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ca_GdE7hbYne"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Al parecer hay un patrón. Si organizamos las barras de forma ascendente observamos:\n",
    "    - <0: 6%\n",
    "    - 0-4K: 12%\n",
    "    - 4K-8K: 16%\n",
    "    - 8K-12K: 16%\n",
    "    - 12K-16K: 15%\n",
    "    - 16K-20K: 9%\n",
    "    - Mayor a 20K: 15%\n",
    "\n",
    "- Exceptuando el rango 16K-20K, en general un mayor nivel de liquidez genera una mayor tasa de conversión.\n",
    "- Podríamos definir 4 rangos de interés para simplificar el análisis:\n",
    "  - 0-4K\n",
    "  - 4K-16K\n",
    "  - 16K-20K\n",
    "  - Mayor a 20K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 389
    },
    "executionInfo": {
     "elapsed": 524,
     "status": "ok",
     "timestamp": 1671483066162,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "rwPram24a5UG",
    "outputId": "f1e215ed-2697-4c91-e960-ccb0effd22ef"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generemos el dataset únicamente con estos rangos y observemos el comportamiento\n",
    "\n",
    "# Nueva columna en el dataset: \"grupos_balance\"\n",
    "data.loc[:,'grupos_balance'] = \"<0\"\n",
    "data.loc[(data['balance']>=0) & (data['balance']<4000),'grupos_balance'] = \"0-4K\"\n",
    "data.loc[(data['balance']>=4000) & (data['balance']<16000),'grupos_balance'] = \"4K-16K\"\n",
    "data.loc[(data['balance']>=16000) & (data['balance']<20000),'grupos_balance'] = \"16K-20K\"\n",
    "data.loc[data['balance']>=20000,'grupos_balance'] = \">20K\"\n",
    "\n",
    "# Y grafiquemos la tasa de conversión para esta nueva columna\n",
    "orden = ['<0','0-4K','4K-16K','16K-20K','>20K']\n",
    "graficar_tasas_conversion('grupos_balance','y_bin',type='bar', order=orden)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "executionInfo": {
     "elapsed": 163,
     "status": "ok",
     "timestamp": 1671483101035,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "XKEEI5wwdie6"
   },
   "outputs": [],
   "source": [
    "# Y eliminemos la columna \"balance\"\n",
    "data.drop(columns=['balance'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1s8W8CtP5hAy"
   },
   "source": [
    "Ahora realizaremos un análisis similar pero para las variables categóricas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 391
    },
    "executionInfo": {
     "elapsed": 569,
     "status": "ok",
     "timestamp": 1671483135946,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "DHqtI6DYeuYU",
    "outputId": "1ad5cc77-3a9d-4d1d-ddca-51c3f2525ecb"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graficar_tasas_conversion('job', 'y_bin', type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RLInhnh0hKye"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Las tasas de conversión oscilan entre 8% y 28% aproximadamente\n",
    "- Los trabajos \"retired\" y \"student\" tienen las tasas de conversión más altas (23% y 28%)\n",
    "- \"Job\" podría ser una variable predictora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 417,
     "status": "ok",
     "timestamp": 1671483185563,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "TihW7qSsiT3P",
    "outputId": "abdb8206-3cd6-4652-ccbb-6d2aba22493b"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Marital\n",
    "graficar_tasas_conversion('marital','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LdSHqW30jowe"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Las tasas de conversión son muy similares para los diferentes niveles en la variable \"marital\"\n",
    "- \"Marital\" parece no ser una variable predictora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 545,
     "status": "ok",
     "timestamp": 1671483222150,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "VszmCXtKc1Q5",
    "outputId": "312754d9-974f-4e52-ebb3-ac44e231cb35"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# education\n",
    "graficar_tasas_conversion('education','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Tmhfn58hkQro"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Hay un ligero incremento en la tasa de conversión a medida que aumenta el nivel educativo.\n",
    "- \"Education\" podría ser una variable predictora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 477,
     "status": "ok",
     "timestamp": 1671483268798,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "5UjH9vcadh7E",
    "outputId": "00ef6626-1945-4c4c-8447-a873ce74dd00"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# default\n",
    "graficar_tasas_conversion('default','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cnxOrvMAk1jK"
   },
   "source": [
    "**Observaciones**:\n",
    "\n",
    "- Las tasas de conversión para quienes no tienen \"default\" son de casi el doble para quienes sí lo tienen (12% vs. 6% aproximadamente).\n",
    "- \"Default\" podría ser una variable predictora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 508,
     "status": "ok",
     "timestamp": 1671483308118,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "uLUVbqShdmbL",
    "outputId": "29c7fb73-b75a-43ec-d67f-d0a55849dec0"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# housing\n",
    "graficar_tasas_conversion('housing','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Z7hBX6orlMh0"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Quienes no tienen crédito hipotecario (\"housing\"=no) definitivamente tienen mayores tasas de conversión.\n",
    "- \"Housing\" es una variable predictora."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 500,
     "status": "ok",
     "timestamp": 1671483321692,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "K1Am53VGdpzb",
    "outputId": "8d77dc77-7798-4d5a-e95b-a5a59626a235"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# loan\n",
    "graficar_tasas_conversion('loan','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lJeLU-j2lepO"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Con \"loan\" ocurre algo similar a \"housing\": quienes NO tienen créditos de consumo presentan definitivamente mayores tasas de conversión\n",
    "- \"Loan\" es una variable predictora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 388
    },
    "executionInfo": {
     "elapsed": 437,
     "status": "ok",
     "timestamp": 1671483355254,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "LJYDEf9elpzI",
    "outputId": "18df92c6-649b-4d80-dbff-9ea53c93459a"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# poutcome\n",
    "graficar_tasas_conversion('poutcome','y_bin',type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qAbfA3dGlxUA"
   },
   "source": [
    "**Observaciones:**\n",
    "\n",
    "- Si el cliente adquirió un producto en la campaña anterior (poutcome = success) es más probable que adquiera este nuevo producto con el banco\n",
    "- poutcome definitivamente es una variable predictora"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5_1GMIOqp_16"
   },
   "source": [
    "## Resumen\n",
    "\n",
    "Las variables predictoras con mayor impacto en la tasa de conversión parecen ser, en orden de importancia\n",
    "\n",
    "1. poutcome: casi 70% de conversión para el nivel \"success\"\n",
    "2. job: con tasas de 22% y 28% para 'retired' y 'student'\n",
    "2. grupos_balance y grupos_edad, con tasas de conversión cercanas al 16% para varios intervalos\n",
    "3. default, housing y loan con tasas de conversión entre 12% y 16% para los niveles \"no\"\n",
    "4. marital y education, con niveles de conversión comparables con default, housing y loan."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EoUGFBrDrz9h"
   },
   "source": [
    "## 4.3 Análisis bivariado\n",
    "\n",
    "Y podemos ir un paso más allá en este análisis exploratorio y analizar posibles interacciones entre pares de variables predictoras y su impacto en la variable a predecir.\n",
    "\n",
    "Esto se conoce como análisis bivariado.\n",
    "\n",
    "Como existen muchas posibles combinaciones analizaremos únicamente los pares con mayor potencial según el orden de importancia definido en el resumen del análisis univariado.\n",
    "\n",
    "La forma más sencilla de hacer este análisis es a través de gráficas (aunque también se podrían usar herramientas estadísticas más sofisticadas).\n",
    "\n",
    "⚠️⚠️⚠️ ADVERTENCIA ⚠️⚠️⚠️\n",
    "\n",
    "De forma similar a como ocurre con el análisis univariado, este análisis nos mostrará sólo una faceta de las posibles relaciones entre pares de variables predictoras y la variable a predecir, y no es suficiente para extraer conclusiones definitivas (aunque nos dará una pista más detallada en comparación con el análisis univariado)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "executionInfo": {
     "elapsed": 182,
     "status": "ok",
     "timestamp": 1671483697558,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "XtR-rxdod6ps"
   },
   "outputs": [],
   "source": [
    "# Tasa de conversión para dos columnas\n",
    "def graficar_tc_bivariada(col_list, orden=None):\n",
    "  tc = data.groupby(col_list)['y_bin'].mean().to_frame().reset_index()\n",
    "\n",
    "  # Gráfica\n",
    "  plt.figure(figsize=(13,7))\n",
    "  ax = sns.pointplot(x=tc['y_bin'], y=tc[col_list[0]], hue=tc[col_list[1]], join=False, order=orden)\n",
    "  ax.yaxis.grid(True)\n",
    "  ax.xaxis.grid(True)\n",
    "  plt.title(f'Tasa de conversión para {col_list[0]} y {col_list[1]}')\n",
    "  plt.xlabel('Tasa de conversión (%)')\n",
    "  plt.xlim((0,1));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "executionInfo": {
     "elapsed": 509,
     "status": "ok",
     "timestamp": 1671483737952,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "b_aYmGND82MR",
    "outputId": "a0b7ad79-17d8-4167-f074-49ec420b4447"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Par poutcome-job\n",
    "graficar_tc_bivariada(['job','poutcome'])\n",
    "\n",
    "# Tasas de conversión superiores al 60% con poutcome==success y\n",
    "# job = unemployed (78%), student/retired (72%), services (70%), \n",
    "# management (68%), self-employed (65%)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "executionInfo": {
     "elapsed": 591,
     "status": "ok",
     "timestamp": 1671483933391,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "gS7-9ZcX9spD",
    "outputId": "858be7d5-41a6-4342-8785-c8514b85da3a",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2. Par poutcome-grupos_balance\n",
    "graficar_tc_bivariada(['grupos_balance','poutcome'])\n",
    "\n",
    "# Tasas de conversión superiores al 60% para poutcome=success y\n",
    "# - Ingresos entre 16K y 20K: 100%!!! Es interesante, pues al analizar sólo \n",
    "#   la variable ingresos en este rango se obtienen las menores tasas de conversión\n",
    "# - Ingresos superiores a 20K: 88%\n",
    "# - Ingresos entre 0-16K: 65%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "executionInfo": {
     "elapsed": 488,
     "status": "ok",
     "timestamp": 1671484002158,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "NEMc0xMTsIZA",
    "outputId": "1541333f-e231-443d-e393-e3379e4fdf60"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3. Par poutcome-grupos_edad\n",
    "graficar_tc_bivariada(['grupos_edad','poutcome'])\n",
    "\n",
    "# Tasas de conversión superiores al 60% para poutcome=success y\n",
    "# - Edades 18-25: 78%\n",
    "# - Edades >60: 72%\n",
    "# - Edades 26-60: 62%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "executionInfo": {
     "elapsed": 463,
     "status": "ok",
     "timestamp": 1671484083240,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "uPQfcsrotHkE",
    "outputId": "28e4680e-0412-4ae5-fe55-5a6cd8c28975"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4. Pares poutcome + default/housing/loan\n",
    "graficar_tc_bivariada(['loan','poutcome'])\n",
    "\n",
    "# Se alcanzan tasas de conversión entre 60 y 65% para\n",
    "# las combinaciones poutcome=success y default/housing/loan=no"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "executionInfo": {
     "elapsed": 1383,
     "status": "ok",
     "timestamp": 1671484137382,
     "user": {
      "displayName": "Miguel Sotaquirá",
      "userId": "08038952820764930757"
     },
     "user_tz": 300
    },
    "id": "Nq6VuEqauJyc",
    "outputId": "8428c60f-80b5-4d4b-df4e-6d716499d912"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1300x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4. Pares poutcome + marital/education\n",
    "graficar_tc_bivariada(['education','poutcome'])\n",
    "\n",
    "# - Se alcanzan tasas de conversión entre 60 y 65% independientemente de \"marital\"\n",
    "# - Y lo mismo para \"education\"\n",
    "\n",
    "# Estas variables no resultan tan relevantes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Uuk2vJSv_XwV"
   },
   "source": [
    "# Conclusiones\n",
    "\n",
    "- La variable \"poutcome\" seguida de las variables \"job\", \"grupos_balance\" y \"grupos_edad\" son las que tienen mayor impacto en la tasa de conversión.\n",
    "- Con este análisis el perfil ideal de cliente sería:\n",
    "    - Debe haber sido contactado previamente por el banco y debe haber adquirido previamente dicho producto (*poutcome == success*)\n",
    "    - Perfil laboral (top-3): desempleado, estudiante, jubilado\n",
    "    - Saldo en su cuenta bancaria: entre 16K y 20K (preferiblemente)\n",
    "    - Edad: entre 18 y 25 años (preferiblemente)\n",
    "    - Que NO cuente con crédito de consumo, crédito hipotecario o que no haya entrado en \"default\"\n",
    "\n",
    "\n",
    "Es posible que la combinación de más de dos variables (análisis multivariado) arroje más luces sobre estos perfiles. Pero en este caso la interpretación de los resultados se dificulta a medida que analizamos de manera simultánea más y más variables.\n",
    "\n",
    "En este punto el paso a seguir sería usar algún modelo de Machine Learning que permita encontrar esos patrones que no resultan fáciles de ver con este análisis exploratorio."
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyN+M+lW2M10S43D7s77NAwp",
   "provenance": []
  },
  "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}